Spaces:
Sleeping
Sleeping
Upload 15 files
Browse files- app.py +7 -3
- keys/flux1dev_comfyui_keys.txt +1442 -0
- keys/flux1dev_comfyui_transformer_keys.txt +780 -0
- keys/flux1dev_transformer_keys.txt +780 -0
- keys/sd15_diffusers_keys.txt +686 -0
- keys/sd15_pruned_emaonly_keys.txt +1145 -0
- keys/sd15_pruned_keys.txt +0 -0
- keys/sdxl_diffusers_keys.txt +0 -0
- keys/sdxl_keys.txt +0 -0
- stkey.py +2 -1
- stkey_gr.py +25 -24
- utils.py +2 -2
app.py
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
import gradio as gr
|
2 |
-
from stkey_gr import stkey_gr, KEYS_FILES
|
3 |
|
4 |
css = """
|
5 |
.title { font-size: 3em; align-items: center; text-align: center; }
|
@@ -15,8 +15,9 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css, delete_ca
|
|
15 |
dl_url = gr.Textbox(label="Download URL(s)", placeholder="https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0_0.9vae.safetensors\n...", value="", lines=2, max_lines=255)
|
16 |
with gr.Row():
|
17 |
is_validate = gr.Checkbox(label="Validate safetensors file keys", value=True)
|
18 |
-
rfile = gr.
|
19 |
with gr.Accordion("Advanced", open=False):
|
|
|
20 |
with gr.Row():
|
21 |
with gr.Column():
|
22 |
hf_token = gr.Textbox(label="Your HF read token (Optional)", placeholder="hf_...", value="", max_lines=1)
|
@@ -26,7 +27,7 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css, delete_ca
|
|
26 |
gr.Markdown("Your Civitai API key is available at [https://civitai.com/user/account](https://civitai.com/user/account).", elem_classes="info")
|
27 |
run_button = gr.Button(value="Check", variant="primary")
|
28 |
uploaded_urls = gr.CheckboxGroup(visible=False, choices=[], value=[]) # hidden
|
29 |
-
urls_md = gr.Markdown("<br><br>", elem_classes="result")
|
30 |
out_files = gr.Files(label="Output", interactive=False, value=[])
|
31 |
with gr.Group():
|
32 |
with gr.Row():
|
@@ -35,6 +36,7 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css, delete_ca
|
|
35 |
with gr.Row():
|
36 |
keys = gr.JSON(value=[], label="All keys")
|
37 |
metadata = gr.JSON(value={}, label="Metadata")
|
|
|
38 |
gr.DuplicateButton(value="Duplicate Space")
|
39 |
|
40 |
gr.on(
|
@@ -43,6 +45,8 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css, delete_ca
|
|
43 |
inputs=[dl_url, civitai_key, hf_token, uploaded_urls, out_files, is_validate, rfile],
|
44 |
outputs=[uploaded_urls, out_files, urls_md, metadata, keys, missing, added],
|
45 |
)
|
|
|
|
|
46 |
|
47 |
demo.queue()
|
48 |
demo.launch()
|
|
|
1 |
import gradio as gr
|
2 |
+
from stkey_gr import stkey_gr, KEYS_FILES, DEFAULT_KEYS_FILE, upload_keys_file
|
3 |
|
4 |
css = """
|
5 |
.title { font-size: 3em; align-items: center; text-align: center; }
|
|
|
15 |
dl_url = gr.Textbox(label="Download URL(s)", placeholder="https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0_0.9vae.safetensors\n...", value="", lines=2, max_lines=255)
|
16 |
with gr.Row():
|
17 |
is_validate = gr.Checkbox(label="Validate safetensors file keys", value=True)
|
18 |
+
rfile = gr.Dropdown(label="Reference file for validation", choices=KEYS_FILES, value=DEFAULT_KEYS_FILE)
|
19 |
with gr.Accordion("Advanced", open=False):
|
20 |
+
upload_rfile = gr.UploadButton(label="Upload reference file", file_types=["text"], file_count="single")
|
21 |
with gr.Row():
|
22 |
with gr.Column():
|
23 |
hf_token = gr.Textbox(label="Your HF read token (Optional)", placeholder="hf_...", value="", max_lines=1)
|
|
|
27 |
gr.Markdown("Your Civitai API key is available at [https://civitai.com/user/account](https://civitai.com/user/account).", elem_classes="info")
|
28 |
run_button = gr.Button(value="Check", variant="primary")
|
29 |
uploaded_urls = gr.CheckboxGroup(visible=False, choices=[], value=[]) # hidden
|
30 |
+
urls_md = gr.Markdown("<br><br>", elem_classes="result", visible=False)
|
31 |
out_files = gr.Files(label="Output", interactive=False, value=[])
|
32 |
with gr.Group():
|
33 |
with gr.Row():
|
|
|
36 |
with gr.Row():
|
37 |
keys = gr.JSON(value=[], label="All keys")
|
38 |
metadata = gr.JSON(value={}, label="Metadata")
|
39 |
+
clear_button = gr.Button(value="Clear Output", variant="secondary")
|
40 |
gr.DuplicateButton(value="Duplicate Space")
|
41 |
|
42 |
gr.on(
|
|
|
45 |
inputs=[dl_url, civitai_key, hf_token, uploaded_urls, out_files, is_validate, rfile],
|
46 |
outputs=[uploaded_urls, out_files, urls_md, metadata, keys, missing, added],
|
47 |
)
|
48 |
+
clear_button.click(lambda: ([], [], "", {}, [], [], []), None, [uploaded_urls, out_files, urls_md, metadata, keys, missing, added], queue=False, show_api=False)
|
49 |
+
upload_rfile.upload(upload_keys_file, [upload_rfile], [rfile], queue=False, show_api=False)
|
50 |
|
51 |
demo.queue()
|
52 |
demo.launch()
|
keys/flux1dev_comfyui_keys.txt
ADDED
@@ -0,0 +1,1442 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
model.diffusion_model.double_blocks.0.img_attn.norm.key_norm.scale
|
2 |
+
model.diffusion_model.double_blocks.0.img_attn.norm.query_norm.scale
|
3 |
+
model.diffusion_model.double_blocks.0.img_attn.proj.bias
|
4 |
+
model.diffusion_model.double_blocks.0.img_attn.proj.weight
|
5 |
+
model.diffusion_model.double_blocks.0.img_attn.qkv.bias
|
6 |
+
model.diffusion_model.double_blocks.0.img_attn.qkv.weight
|
7 |
+
model.diffusion_model.double_blocks.0.img_mlp.0.bias
|
8 |
+
model.diffusion_model.double_blocks.0.img_mlp.0.weight
|
9 |
+
model.diffusion_model.double_blocks.0.img_mlp.2.bias
|
10 |
+
model.diffusion_model.double_blocks.0.img_mlp.2.weight
|
11 |
+
model.diffusion_model.double_blocks.0.img_mod.lin.bias
|
12 |
+
model.diffusion_model.double_blocks.0.img_mod.lin.weight
|
13 |
+
model.diffusion_model.double_blocks.0.txt_attn.norm.key_norm.scale
|
14 |
+
model.diffusion_model.double_blocks.0.txt_attn.norm.query_norm.scale
|
15 |
+
model.diffusion_model.double_blocks.0.txt_attn.proj.bias
|
16 |
+
model.diffusion_model.double_blocks.0.txt_attn.proj.weight
|
17 |
+
model.diffusion_model.double_blocks.0.txt_attn.qkv.bias
|
18 |
+
model.diffusion_model.double_blocks.0.txt_attn.qkv.weight
|
19 |
+
model.diffusion_model.double_blocks.0.txt_mlp.0.bias
|
20 |
+
model.diffusion_model.double_blocks.0.txt_mlp.0.weight
|
21 |
+
model.diffusion_model.double_blocks.0.txt_mlp.2.bias
|
22 |
+
model.diffusion_model.double_blocks.0.txt_mlp.2.weight
|
23 |
+
model.diffusion_model.double_blocks.0.txt_mod.lin.bias
|
24 |
+
model.diffusion_model.double_blocks.0.txt_mod.lin.weight
|
25 |
+
model.diffusion_model.double_blocks.1.img_attn.norm.key_norm.scale
|
26 |
+
model.diffusion_model.double_blocks.1.img_attn.norm.query_norm.scale
|
27 |
+
model.diffusion_model.double_blocks.1.img_attn.proj.bias
|
28 |
+
model.diffusion_model.double_blocks.1.img_attn.proj.weight
|
29 |
+
model.diffusion_model.double_blocks.1.img_attn.qkv.bias
|
30 |
+
model.diffusion_model.double_blocks.1.img_attn.qkv.weight
|
31 |
+
model.diffusion_model.double_blocks.1.img_mlp.0.bias
|
32 |
+
model.diffusion_model.double_blocks.1.img_mlp.0.weight
|
33 |
+
model.diffusion_model.double_blocks.1.img_mlp.2.bias
|
34 |
+
model.diffusion_model.double_blocks.1.img_mlp.2.weight
|
35 |
+
model.diffusion_model.double_blocks.1.img_mod.lin.bias
|
36 |
+
model.diffusion_model.double_blocks.1.img_mod.lin.weight
|
37 |
+
model.diffusion_model.double_blocks.1.txt_attn.norm.key_norm.scale
|
38 |
+
model.diffusion_model.double_blocks.1.txt_attn.norm.query_norm.scale
|
39 |
+
model.diffusion_model.double_blocks.1.txt_attn.proj.bias
|
40 |
+
model.diffusion_model.double_blocks.1.txt_attn.proj.weight
|
41 |
+
model.diffusion_model.double_blocks.1.txt_attn.qkv.bias
|
42 |
+
model.diffusion_model.double_blocks.1.txt_attn.qkv.weight
|
43 |
+
model.diffusion_model.double_blocks.1.txt_mlp.0.bias
|
44 |
+
model.diffusion_model.double_blocks.1.txt_mlp.0.weight
|
45 |
+
model.diffusion_model.double_blocks.1.txt_mlp.2.bias
|
46 |
+
model.diffusion_model.double_blocks.1.txt_mlp.2.weight
|
47 |
+
model.diffusion_model.double_blocks.1.txt_mod.lin.bias
|
48 |
+
model.diffusion_model.double_blocks.1.txt_mod.lin.weight
|
49 |
+
model.diffusion_model.double_blocks.10.img_attn.norm.key_norm.scale
|
50 |
+
model.diffusion_model.double_blocks.10.img_attn.norm.query_norm.scale
|
51 |
+
model.diffusion_model.double_blocks.10.img_attn.proj.bias
|
52 |
+
model.diffusion_model.double_blocks.10.img_attn.proj.weight
|
53 |
+
model.diffusion_model.double_blocks.10.img_attn.qkv.bias
|
54 |
+
model.diffusion_model.double_blocks.10.img_attn.qkv.weight
|
55 |
+
model.diffusion_model.double_blocks.10.img_mlp.0.bias
|
56 |
+
model.diffusion_model.double_blocks.10.img_mlp.0.weight
|
57 |
+
model.diffusion_model.double_blocks.10.img_mlp.2.bias
|
58 |
+
model.diffusion_model.double_blocks.10.img_mlp.2.weight
|
59 |
+
model.diffusion_model.double_blocks.10.img_mod.lin.bias
|
60 |
+
model.diffusion_model.double_blocks.10.img_mod.lin.weight
|
61 |
+
model.diffusion_model.double_blocks.10.txt_attn.norm.key_norm.scale
|
62 |
+
model.diffusion_model.double_blocks.10.txt_attn.norm.query_norm.scale
|
63 |
+
model.diffusion_model.double_blocks.10.txt_attn.proj.bias
|
64 |
+
model.diffusion_model.double_blocks.10.txt_attn.proj.weight
|
65 |
+
model.diffusion_model.double_blocks.10.txt_attn.qkv.bias
|
66 |
+
model.diffusion_model.double_blocks.10.txt_attn.qkv.weight
|
67 |
+
model.diffusion_model.double_blocks.10.txt_mlp.0.bias
|
68 |
+
model.diffusion_model.double_blocks.10.txt_mlp.0.weight
|
69 |
+
model.diffusion_model.double_blocks.10.txt_mlp.2.bias
|
70 |
+
model.diffusion_model.double_blocks.10.txt_mlp.2.weight
|
71 |
+
model.diffusion_model.double_blocks.10.txt_mod.lin.bias
|
72 |
+
model.diffusion_model.double_blocks.10.txt_mod.lin.weight
|
73 |
+
model.diffusion_model.double_blocks.11.img_attn.norm.key_norm.scale
|
74 |
+
model.diffusion_model.double_blocks.11.img_attn.norm.query_norm.scale
|
75 |
+
model.diffusion_model.double_blocks.11.img_attn.proj.bias
|
76 |
+
model.diffusion_model.double_blocks.11.img_attn.proj.weight
|
77 |
+
model.diffusion_model.double_blocks.11.img_attn.qkv.bias
|
78 |
+
model.diffusion_model.double_blocks.11.img_attn.qkv.weight
|
79 |
+
model.diffusion_model.double_blocks.11.img_mlp.0.bias
|
80 |
+
model.diffusion_model.double_blocks.11.img_mlp.0.weight
|
81 |
+
model.diffusion_model.double_blocks.11.img_mlp.2.bias
|
82 |
+
model.diffusion_model.double_blocks.11.img_mlp.2.weight
|
83 |
+
model.diffusion_model.double_blocks.11.img_mod.lin.bias
|
84 |
+
model.diffusion_model.double_blocks.11.img_mod.lin.weight
|
85 |
+
model.diffusion_model.double_blocks.11.txt_attn.norm.key_norm.scale
|
86 |
+
model.diffusion_model.double_blocks.11.txt_attn.norm.query_norm.scale
|
87 |
+
model.diffusion_model.double_blocks.11.txt_attn.proj.bias
|
88 |
+
model.diffusion_model.double_blocks.11.txt_attn.proj.weight
|
89 |
+
model.diffusion_model.double_blocks.11.txt_attn.qkv.bias
|
90 |
+
model.diffusion_model.double_blocks.11.txt_attn.qkv.weight
|
91 |
+
model.diffusion_model.double_blocks.11.txt_mlp.0.bias
|
92 |
+
model.diffusion_model.double_blocks.11.txt_mlp.0.weight
|
93 |
+
model.diffusion_model.double_blocks.11.txt_mlp.2.bias
|
94 |
+
model.diffusion_model.double_blocks.11.txt_mlp.2.weight
|
95 |
+
model.diffusion_model.double_blocks.11.txt_mod.lin.bias
|
96 |
+
model.diffusion_model.double_blocks.11.txt_mod.lin.weight
|
97 |
+
model.diffusion_model.double_blocks.12.img_attn.norm.key_norm.scale
|
98 |
+
model.diffusion_model.double_blocks.12.img_attn.norm.query_norm.scale
|
99 |
+
model.diffusion_model.double_blocks.12.img_attn.proj.bias
|
100 |
+
model.diffusion_model.double_blocks.12.img_attn.proj.weight
|
101 |
+
model.diffusion_model.double_blocks.12.img_attn.qkv.bias
|
102 |
+
model.diffusion_model.double_blocks.12.img_attn.qkv.weight
|
103 |
+
model.diffusion_model.double_blocks.12.img_mlp.0.bias
|
104 |
+
model.diffusion_model.double_blocks.12.img_mlp.0.weight
|
105 |
+
model.diffusion_model.double_blocks.12.img_mlp.2.bias
|
106 |
+
model.diffusion_model.double_blocks.12.img_mlp.2.weight
|
107 |
+
model.diffusion_model.double_blocks.12.img_mod.lin.bias
|
108 |
+
model.diffusion_model.double_blocks.12.img_mod.lin.weight
|
109 |
+
model.diffusion_model.double_blocks.12.txt_attn.norm.key_norm.scale
|
110 |
+
model.diffusion_model.double_blocks.12.txt_attn.norm.query_norm.scale
|
111 |
+
model.diffusion_model.double_blocks.12.txt_attn.proj.bias
|
112 |
+
model.diffusion_model.double_blocks.12.txt_attn.proj.weight
|
113 |
+
model.diffusion_model.double_blocks.12.txt_attn.qkv.bias
|
114 |
+
model.diffusion_model.double_blocks.12.txt_attn.qkv.weight
|
115 |
+
model.diffusion_model.double_blocks.12.txt_mlp.0.bias
|
116 |
+
model.diffusion_model.double_blocks.12.txt_mlp.0.weight
|
117 |
+
model.diffusion_model.double_blocks.12.txt_mlp.2.bias
|
118 |
+
model.diffusion_model.double_blocks.12.txt_mlp.2.weight
|
119 |
+
model.diffusion_model.double_blocks.12.txt_mod.lin.bias
|
120 |
+
model.diffusion_model.double_blocks.12.txt_mod.lin.weight
|
121 |
+
model.diffusion_model.double_blocks.13.img_attn.norm.key_norm.scale
|
122 |
+
model.diffusion_model.double_blocks.13.img_attn.norm.query_norm.scale
|
123 |
+
model.diffusion_model.double_blocks.13.img_attn.proj.bias
|
124 |
+
model.diffusion_model.double_blocks.13.img_attn.proj.weight
|
125 |
+
model.diffusion_model.double_blocks.13.img_attn.qkv.bias
|
126 |
+
model.diffusion_model.double_blocks.13.img_attn.qkv.weight
|
127 |
+
model.diffusion_model.double_blocks.13.img_mlp.0.bias
|
128 |
+
model.diffusion_model.double_blocks.13.img_mlp.0.weight
|
129 |
+
model.diffusion_model.double_blocks.13.img_mlp.2.bias
|
130 |
+
model.diffusion_model.double_blocks.13.img_mlp.2.weight
|
131 |
+
model.diffusion_model.double_blocks.13.img_mod.lin.bias
|
132 |
+
model.diffusion_model.double_blocks.13.img_mod.lin.weight
|
133 |
+
model.diffusion_model.double_blocks.13.txt_attn.norm.key_norm.scale
|
134 |
+
model.diffusion_model.double_blocks.13.txt_attn.norm.query_norm.scale
|
135 |
+
model.diffusion_model.double_blocks.13.txt_attn.proj.bias
|
136 |
+
model.diffusion_model.double_blocks.13.txt_attn.proj.weight
|
137 |
+
model.diffusion_model.double_blocks.13.txt_attn.qkv.bias
|
138 |
+
model.diffusion_model.double_blocks.13.txt_attn.qkv.weight
|
139 |
+
model.diffusion_model.double_blocks.13.txt_mlp.0.bias
|
140 |
+
model.diffusion_model.double_blocks.13.txt_mlp.0.weight
|
141 |
+
model.diffusion_model.double_blocks.13.txt_mlp.2.bias
|
142 |
+
model.diffusion_model.double_blocks.13.txt_mlp.2.weight
|
143 |
+
model.diffusion_model.double_blocks.13.txt_mod.lin.bias
|
144 |
+
model.diffusion_model.double_blocks.13.txt_mod.lin.weight
|
145 |
+
model.diffusion_model.double_blocks.14.img_attn.norm.key_norm.scale
|
146 |
+
model.diffusion_model.double_blocks.14.img_attn.norm.query_norm.scale
|
147 |
+
model.diffusion_model.double_blocks.14.img_attn.proj.bias
|
148 |
+
model.diffusion_model.double_blocks.14.img_attn.proj.weight
|
149 |
+
model.diffusion_model.double_blocks.14.img_attn.qkv.bias
|
150 |
+
model.diffusion_model.double_blocks.14.img_attn.qkv.weight
|
151 |
+
model.diffusion_model.double_blocks.14.img_mlp.0.bias
|
152 |
+
model.diffusion_model.double_blocks.14.img_mlp.0.weight
|
153 |
+
model.diffusion_model.double_blocks.14.img_mlp.2.bias
|
154 |
+
model.diffusion_model.double_blocks.14.img_mlp.2.weight
|
155 |
+
model.diffusion_model.double_blocks.14.img_mod.lin.bias
|
156 |
+
model.diffusion_model.double_blocks.14.img_mod.lin.weight
|
157 |
+
model.diffusion_model.double_blocks.14.txt_attn.norm.key_norm.scale
|
158 |
+
model.diffusion_model.double_blocks.14.txt_attn.norm.query_norm.scale
|
159 |
+
model.diffusion_model.double_blocks.14.txt_attn.proj.bias
|
160 |
+
model.diffusion_model.double_blocks.14.txt_attn.proj.weight
|
161 |
+
model.diffusion_model.double_blocks.14.txt_attn.qkv.bias
|
162 |
+
model.diffusion_model.double_blocks.14.txt_attn.qkv.weight
|
163 |
+
model.diffusion_model.double_blocks.14.txt_mlp.0.bias
|
164 |
+
model.diffusion_model.double_blocks.14.txt_mlp.0.weight
|
165 |
+
model.diffusion_model.double_blocks.14.txt_mlp.2.bias
|
166 |
+
model.diffusion_model.double_blocks.14.txt_mlp.2.weight
|
167 |
+
model.diffusion_model.double_blocks.14.txt_mod.lin.bias
|
168 |
+
model.diffusion_model.double_blocks.14.txt_mod.lin.weight
|
169 |
+
model.diffusion_model.double_blocks.15.img_attn.norm.key_norm.scale
|
170 |
+
model.diffusion_model.double_blocks.15.img_attn.norm.query_norm.scale
|
171 |
+
model.diffusion_model.double_blocks.15.img_attn.proj.bias
|
172 |
+
model.diffusion_model.double_blocks.15.img_attn.proj.weight
|
173 |
+
model.diffusion_model.double_blocks.15.img_attn.qkv.bias
|
174 |
+
model.diffusion_model.double_blocks.15.img_attn.qkv.weight
|
175 |
+
model.diffusion_model.double_blocks.15.img_mlp.0.bias
|
176 |
+
model.diffusion_model.double_blocks.15.img_mlp.0.weight
|
177 |
+
model.diffusion_model.double_blocks.15.img_mlp.2.bias
|
178 |
+
model.diffusion_model.double_blocks.15.img_mlp.2.weight
|
179 |
+
model.diffusion_model.double_blocks.15.img_mod.lin.bias
|
180 |
+
model.diffusion_model.double_blocks.15.img_mod.lin.weight
|
181 |
+
model.diffusion_model.double_blocks.15.txt_attn.norm.key_norm.scale
|
182 |
+
model.diffusion_model.double_blocks.15.txt_attn.norm.query_norm.scale
|
183 |
+
model.diffusion_model.double_blocks.15.txt_attn.proj.bias
|
184 |
+
model.diffusion_model.double_blocks.15.txt_attn.proj.weight
|
185 |
+
model.diffusion_model.double_blocks.15.txt_attn.qkv.bias
|
186 |
+
model.diffusion_model.double_blocks.15.txt_attn.qkv.weight
|
187 |
+
model.diffusion_model.double_blocks.15.txt_mlp.0.bias
|
188 |
+
model.diffusion_model.double_blocks.15.txt_mlp.0.weight
|
189 |
+
model.diffusion_model.double_blocks.15.txt_mlp.2.bias
|
190 |
+
model.diffusion_model.double_blocks.15.txt_mlp.2.weight
|
191 |
+
model.diffusion_model.double_blocks.15.txt_mod.lin.bias
|
192 |
+
model.diffusion_model.double_blocks.15.txt_mod.lin.weight
|
193 |
+
model.diffusion_model.double_blocks.16.img_attn.norm.key_norm.scale
|
194 |
+
model.diffusion_model.double_blocks.16.img_attn.norm.query_norm.scale
|
195 |
+
model.diffusion_model.double_blocks.16.img_attn.proj.bias
|
196 |
+
model.diffusion_model.double_blocks.16.img_attn.proj.weight
|
197 |
+
model.diffusion_model.double_blocks.16.img_attn.qkv.bias
|
198 |
+
model.diffusion_model.double_blocks.16.img_attn.qkv.weight
|
199 |
+
model.diffusion_model.double_blocks.16.img_mlp.0.bias
|
200 |
+
model.diffusion_model.double_blocks.16.img_mlp.0.weight
|
201 |
+
model.diffusion_model.double_blocks.16.img_mlp.2.bias
|
202 |
+
model.diffusion_model.double_blocks.16.img_mlp.2.weight
|
203 |
+
model.diffusion_model.double_blocks.16.img_mod.lin.bias
|
204 |
+
model.diffusion_model.double_blocks.16.img_mod.lin.weight
|
205 |
+
model.diffusion_model.double_blocks.16.txt_attn.norm.key_norm.scale
|
206 |
+
model.diffusion_model.double_blocks.16.txt_attn.norm.query_norm.scale
|
207 |
+
model.diffusion_model.double_blocks.16.txt_attn.proj.bias
|
208 |
+
model.diffusion_model.double_blocks.16.txt_attn.proj.weight
|
209 |
+
model.diffusion_model.double_blocks.16.txt_attn.qkv.bias
|
210 |
+
model.diffusion_model.double_blocks.16.txt_attn.qkv.weight
|
211 |
+
model.diffusion_model.double_blocks.16.txt_mlp.0.bias
|
212 |
+
model.diffusion_model.double_blocks.16.txt_mlp.0.weight
|
213 |
+
model.diffusion_model.double_blocks.16.txt_mlp.2.bias
|
214 |
+
model.diffusion_model.double_blocks.16.txt_mlp.2.weight
|
215 |
+
model.diffusion_model.double_blocks.16.txt_mod.lin.bias
|
216 |
+
model.diffusion_model.double_blocks.16.txt_mod.lin.weight
|
217 |
+
model.diffusion_model.double_blocks.17.img_attn.norm.key_norm.scale
|
218 |
+
model.diffusion_model.double_blocks.17.img_attn.norm.query_norm.scale
|
219 |
+
model.diffusion_model.double_blocks.17.img_attn.proj.bias
|
220 |
+
model.diffusion_model.double_blocks.17.img_attn.proj.weight
|
221 |
+
model.diffusion_model.double_blocks.17.img_attn.qkv.bias
|
222 |
+
model.diffusion_model.double_blocks.17.img_attn.qkv.weight
|
223 |
+
model.diffusion_model.double_blocks.17.img_mlp.0.bias
|
224 |
+
model.diffusion_model.double_blocks.17.img_mlp.0.weight
|
225 |
+
model.diffusion_model.double_blocks.17.img_mlp.2.bias
|
226 |
+
model.diffusion_model.double_blocks.17.img_mlp.2.weight
|
227 |
+
model.diffusion_model.double_blocks.17.img_mod.lin.bias
|
228 |
+
model.diffusion_model.double_blocks.17.img_mod.lin.weight
|
229 |
+
model.diffusion_model.double_blocks.17.txt_attn.norm.key_norm.scale
|
230 |
+
model.diffusion_model.double_blocks.17.txt_attn.norm.query_norm.scale
|
231 |
+
model.diffusion_model.double_blocks.17.txt_attn.proj.bias
|
232 |
+
model.diffusion_model.double_blocks.17.txt_attn.proj.weight
|
233 |
+
model.diffusion_model.double_blocks.17.txt_attn.qkv.bias
|
234 |
+
model.diffusion_model.double_blocks.17.txt_attn.qkv.weight
|
235 |
+
model.diffusion_model.double_blocks.17.txt_mlp.0.bias
|
236 |
+
model.diffusion_model.double_blocks.17.txt_mlp.0.weight
|
237 |
+
model.diffusion_model.double_blocks.17.txt_mlp.2.bias
|
238 |
+
model.diffusion_model.double_blocks.17.txt_mlp.2.weight
|
239 |
+
model.diffusion_model.double_blocks.17.txt_mod.lin.bias
|
240 |
+
model.diffusion_model.double_blocks.17.txt_mod.lin.weight
|
241 |
+
model.diffusion_model.double_blocks.18.img_attn.norm.key_norm.scale
|
242 |
+
model.diffusion_model.double_blocks.18.img_attn.norm.query_norm.scale
|
243 |
+
model.diffusion_model.double_blocks.18.img_attn.proj.bias
|
244 |
+
model.diffusion_model.double_blocks.18.img_attn.proj.weight
|
245 |
+
model.diffusion_model.double_blocks.18.img_attn.qkv.bias
|
246 |
+
model.diffusion_model.double_blocks.18.img_attn.qkv.weight
|
247 |
+
model.diffusion_model.double_blocks.18.img_mlp.0.bias
|
248 |
+
model.diffusion_model.double_blocks.18.img_mlp.0.weight
|
249 |
+
model.diffusion_model.double_blocks.18.img_mlp.2.bias
|
250 |
+
model.diffusion_model.double_blocks.18.img_mlp.2.weight
|
251 |
+
model.diffusion_model.double_blocks.18.img_mod.lin.bias
|
252 |
+
model.diffusion_model.double_blocks.18.img_mod.lin.weight
|
253 |
+
model.diffusion_model.double_blocks.18.txt_attn.norm.key_norm.scale
|
254 |
+
model.diffusion_model.double_blocks.18.txt_attn.norm.query_norm.scale
|
255 |
+
model.diffusion_model.double_blocks.18.txt_attn.proj.bias
|
256 |
+
model.diffusion_model.double_blocks.18.txt_attn.proj.weight
|
257 |
+
model.diffusion_model.double_blocks.18.txt_attn.qkv.bias
|
258 |
+
model.diffusion_model.double_blocks.18.txt_attn.qkv.weight
|
259 |
+
model.diffusion_model.double_blocks.18.txt_mlp.0.bias
|
260 |
+
model.diffusion_model.double_blocks.18.txt_mlp.0.weight
|
261 |
+
model.diffusion_model.double_blocks.18.txt_mlp.2.bias
|
262 |
+
model.diffusion_model.double_blocks.18.txt_mlp.2.weight
|
263 |
+
model.diffusion_model.double_blocks.18.txt_mod.lin.bias
|
264 |
+
model.diffusion_model.double_blocks.18.txt_mod.lin.weight
|
265 |
+
model.diffusion_model.double_blocks.2.img_attn.norm.key_norm.scale
|
266 |
+
model.diffusion_model.double_blocks.2.img_attn.norm.query_norm.scale
|
267 |
+
model.diffusion_model.double_blocks.2.img_attn.proj.bias
|
268 |
+
model.diffusion_model.double_blocks.2.img_attn.proj.weight
|
269 |
+
model.diffusion_model.double_blocks.2.img_attn.qkv.bias
|
270 |
+
model.diffusion_model.double_blocks.2.img_attn.qkv.weight
|
271 |
+
model.diffusion_model.double_blocks.2.img_mlp.0.bias
|
272 |
+
model.diffusion_model.double_blocks.2.img_mlp.0.weight
|
273 |
+
model.diffusion_model.double_blocks.2.img_mlp.2.bias
|
274 |
+
model.diffusion_model.double_blocks.2.img_mlp.2.weight
|
275 |
+
model.diffusion_model.double_blocks.2.img_mod.lin.bias
|
276 |
+
model.diffusion_model.double_blocks.2.img_mod.lin.weight
|
277 |
+
model.diffusion_model.double_blocks.2.txt_attn.norm.key_norm.scale
|
278 |
+
model.diffusion_model.double_blocks.2.txt_attn.norm.query_norm.scale
|
279 |
+
model.diffusion_model.double_blocks.2.txt_attn.proj.bias
|
280 |
+
model.diffusion_model.double_blocks.2.txt_attn.proj.weight
|
281 |
+
model.diffusion_model.double_blocks.2.txt_attn.qkv.bias
|
282 |
+
model.diffusion_model.double_blocks.2.txt_attn.qkv.weight
|
283 |
+
model.diffusion_model.double_blocks.2.txt_mlp.0.bias
|
284 |
+
model.diffusion_model.double_blocks.2.txt_mlp.0.weight
|
285 |
+
model.diffusion_model.double_blocks.2.txt_mlp.2.bias
|
286 |
+
model.diffusion_model.double_blocks.2.txt_mlp.2.weight
|
287 |
+
model.diffusion_model.double_blocks.2.txt_mod.lin.bias
|
288 |
+
model.diffusion_model.double_blocks.2.txt_mod.lin.weight
|
289 |
+
model.diffusion_model.double_blocks.3.img_attn.norm.key_norm.scale
|
290 |
+
model.diffusion_model.double_blocks.3.img_attn.norm.query_norm.scale
|
291 |
+
model.diffusion_model.double_blocks.3.img_attn.proj.bias
|
292 |
+
model.diffusion_model.double_blocks.3.img_attn.proj.weight
|
293 |
+
model.diffusion_model.double_blocks.3.img_attn.qkv.bias
|
294 |
+
model.diffusion_model.double_blocks.3.img_attn.qkv.weight
|
295 |
+
model.diffusion_model.double_blocks.3.img_mlp.0.bias
|
296 |
+
model.diffusion_model.double_blocks.3.img_mlp.0.weight
|
297 |
+
model.diffusion_model.double_blocks.3.img_mlp.2.bias
|
298 |
+
model.diffusion_model.double_blocks.3.img_mlp.2.weight
|
299 |
+
model.diffusion_model.double_blocks.3.img_mod.lin.bias
|
300 |
+
model.diffusion_model.double_blocks.3.img_mod.lin.weight
|
301 |
+
model.diffusion_model.double_blocks.3.txt_attn.norm.key_norm.scale
|
302 |
+
model.diffusion_model.double_blocks.3.txt_attn.norm.query_norm.scale
|
303 |
+
model.diffusion_model.double_blocks.3.txt_attn.proj.bias
|
304 |
+
model.diffusion_model.double_blocks.3.txt_attn.proj.weight
|
305 |
+
model.diffusion_model.double_blocks.3.txt_attn.qkv.bias
|
306 |
+
model.diffusion_model.double_blocks.3.txt_attn.qkv.weight
|
307 |
+
model.diffusion_model.double_blocks.3.txt_mlp.0.bias
|
308 |
+
model.diffusion_model.double_blocks.3.txt_mlp.0.weight
|
309 |
+
model.diffusion_model.double_blocks.3.txt_mlp.2.bias
|
310 |
+
model.diffusion_model.double_blocks.3.txt_mlp.2.weight
|
311 |
+
model.diffusion_model.double_blocks.3.txt_mod.lin.bias
|
312 |
+
model.diffusion_model.double_blocks.3.txt_mod.lin.weight
|
313 |
+
model.diffusion_model.double_blocks.4.img_attn.norm.key_norm.scale
|
314 |
+
model.diffusion_model.double_blocks.4.img_attn.norm.query_norm.scale
|
315 |
+
model.diffusion_model.double_blocks.4.img_attn.proj.bias
|
316 |
+
model.diffusion_model.double_blocks.4.img_attn.proj.weight
|
317 |
+
model.diffusion_model.double_blocks.4.img_attn.qkv.bias
|
318 |
+
model.diffusion_model.double_blocks.4.img_attn.qkv.weight
|
319 |
+
model.diffusion_model.double_blocks.4.img_mlp.0.bias
|
320 |
+
model.diffusion_model.double_blocks.4.img_mlp.0.weight
|
321 |
+
model.diffusion_model.double_blocks.4.img_mlp.2.bias
|
322 |
+
model.diffusion_model.double_blocks.4.img_mlp.2.weight
|
323 |
+
model.diffusion_model.double_blocks.4.img_mod.lin.bias
|
324 |
+
model.diffusion_model.double_blocks.4.img_mod.lin.weight
|
325 |
+
model.diffusion_model.double_blocks.4.txt_attn.norm.key_norm.scale
|
326 |
+
model.diffusion_model.double_blocks.4.txt_attn.norm.query_norm.scale
|
327 |
+
model.diffusion_model.double_blocks.4.txt_attn.proj.bias
|
328 |
+
model.diffusion_model.double_blocks.4.txt_attn.proj.weight
|
329 |
+
model.diffusion_model.double_blocks.4.txt_attn.qkv.bias
|
330 |
+
model.diffusion_model.double_blocks.4.txt_attn.qkv.weight
|
331 |
+
model.diffusion_model.double_blocks.4.txt_mlp.0.bias
|
332 |
+
model.diffusion_model.double_blocks.4.txt_mlp.0.weight
|
333 |
+
model.diffusion_model.double_blocks.4.txt_mlp.2.bias
|
334 |
+
model.diffusion_model.double_blocks.4.txt_mlp.2.weight
|
335 |
+
model.diffusion_model.double_blocks.4.txt_mod.lin.bias
|
336 |
+
model.diffusion_model.double_blocks.4.txt_mod.lin.weight
|
337 |
+
model.diffusion_model.double_blocks.5.img_attn.norm.key_norm.scale
|
338 |
+
model.diffusion_model.double_blocks.5.img_attn.norm.query_norm.scale
|
339 |
+
model.diffusion_model.double_blocks.5.img_attn.proj.bias
|
340 |
+
model.diffusion_model.double_blocks.5.img_attn.proj.weight
|
341 |
+
model.diffusion_model.double_blocks.5.img_attn.qkv.bias
|
342 |
+
model.diffusion_model.double_blocks.5.img_attn.qkv.weight
|
343 |
+
model.diffusion_model.double_blocks.5.img_mlp.0.bias
|
344 |
+
model.diffusion_model.double_blocks.5.img_mlp.0.weight
|
345 |
+
model.diffusion_model.double_blocks.5.img_mlp.2.bias
|
346 |
+
model.diffusion_model.double_blocks.5.img_mlp.2.weight
|
347 |
+
model.diffusion_model.double_blocks.5.img_mod.lin.bias
|
348 |
+
model.diffusion_model.double_blocks.5.img_mod.lin.weight
|
349 |
+
model.diffusion_model.double_blocks.5.txt_attn.norm.key_norm.scale
|
350 |
+
model.diffusion_model.double_blocks.5.txt_attn.norm.query_norm.scale
|
351 |
+
model.diffusion_model.double_blocks.5.txt_attn.proj.bias
|
352 |
+
model.diffusion_model.double_blocks.5.txt_attn.proj.weight
|
353 |
+
model.diffusion_model.double_blocks.5.txt_attn.qkv.bias
|
354 |
+
model.diffusion_model.double_blocks.5.txt_attn.qkv.weight
|
355 |
+
model.diffusion_model.double_blocks.5.txt_mlp.0.bias
|
356 |
+
model.diffusion_model.double_blocks.5.txt_mlp.0.weight
|
357 |
+
model.diffusion_model.double_blocks.5.txt_mlp.2.bias
|
358 |
+
model.diffusion_model.double_blocks.5.txt_mlp.2.weight
|
359 |
+
model.diffusion_model.double_blocks.5.txt_mod.lin.bias
|
360 |
+
model.diffusion_model.double_blocks.5.txt_mod.lin.weight
|
361 |
+
model.diffusion_model.double_blocks.6.img_attn.norm.key_norm.scale
|
362 |
+
model.diffusion_model.double_blocks.6.img_attn.norm.query_norm.scale
|
363 |
+
model.diffusion_model.double_blocks.6.img_attn.proj.bias
|
364 |
+
model.diffusion_model.double_blocks.6.img_attn.proj.weight
|
365 |
+
model.diffusion_model.double_blocks.6.img_attn.qkv.bias
|
366 |
+
model.diffusion_model.double_blocks.6.img_attn.qkv.weight
|
367 |
+
model.diffusion_model.double_blocks.6.img_mlp.0.bias
|
368 |
+
model.diffusion_model.double_blocks.6.img_mlp.0.weight
|
369 |
+
model.diffusion_model.double_blocks.6.img_mlp.2.bias
|
370 |
+
model.diffusion_model.double_blocks.6.img_mlp.2.weight
|
371 |
+
model.diffusion_model.double_blocks.6.img_mod.lin.bias
|
372 |
+
model.diffusion_model.double_blocks.6.img_mod.lin.weight
|
373 |
+
model.diffusion_model.double_blocks.6.txt_attn.norm.key_norm.scale
|
374 |
+
model.diffusion_model.double_blocks.6.txt_attn.norm.query_norm.scale
|
375 |
+
model.diffusion_model.double_blocks.6.txt_attn.proj.bias
|
376 |
+
model.diffusion_model.double_blocks.6.txt_attn.proj.weight
|
377 |
+
model.diffusion_model.double_blocks.6.txt_attn.qkv.bias
|
378 |
+
model.diffusion_model.double_blocks.6.txt_attn.qkv.weight
|
379 |
+
model.diffusion_model.double_blocks.6.txt_mlp.0.bias
|
380 |
+
model.diffusion_model.double_blocks.6.txt_mlp.0.weight
|
381 |
+
model.diffusion_model.double_blocks.6.txt_mlp.2.bias
|
382 |
+
model.diffusion_model.double_blocks.6.txt_mlp.2.weight
|
383 |
+
model.diffusion_model.double_blocks.6.txt_mod.lin.bias
|
384 |
+
model.diffusion_model.double_blocks.6.txt_mod.lin.weight
|
385 |
+
model.diffusion_model.double_blocks.7.img_attn.norm.key_norm.scale
|
386 |
+
model.diffusion_model.double_blocks.7.img_attn.norm.query_norm.scale
|
387 |
+
model.diffusion_model.double_blocks.7.img_attn.proj.bias
|
388 |
+
model.diffusion_model.double_blocks.7.img_attn.proj.weight
|
389 |
+
model.diffusion_model.double_blocks.7.img_attn.qkv.bias
|
390 |
+
model.diffusion_model.double_blocks.7.img_attn.qkv.weight
|
391 |
+
model.diffusion_model.double_blocks.7.img_mlp.0.bias
|
392 |
+
model.diffusion_model.double_blocks.7.img_mlp.0.weight
|
393 |
+
model.diffusion_model.double_blocks.7.img_mlp.2.bias
|
394 |
+
model.diffusion_model.double_blocks.7.img_mlp.2.weight
|
395 |
+
model.diffusion_model.double_blocks.7.img_mod.lin.bias
|
396 |
+
model.diffusion_model.double_blocks.7.img_mod.lin.weight
|
397 |
+
model.diffusion_model.double_blocks.7.txt_attn.norm.key_norm.scale
|
398 |
+
model.diffusion_model.double_blocks.7.txt_attn.norm.query_norm.scale
|
399 |
+
model.diffusion_model.double_blocks.7.txt_attn.proj.bias
|
400 |
+
model.diffusion_model.double_blocks.7.txt_attn.proj.weight
|
401 |
+
model.diffusion_model.double_blocks.7.txt_attn.qkv.bias
|
402 |
+
model.diffusion_model.double_blocks.7.txt_attn.qkv.weight
|
403 |
+
model.diffusion_model.double_blocks.7.txt_mlp.0.bias
|
404 |
+
model.diffusion_model.double_blocks.7.txt_mlp.0.weight
|
405 |
+
model.diffusion_model.double_blocks.7.txt_mlp.2.bias
|
406 |
+
model.diffusion_model.double_blocks.7.txt_mlp.2.weight
|
407 |
+
model.diffusion_model.double_blocks.7.txt_mod.lin.bias
|
408 |
+
model.diffusion_model.double_blocks.7.txt_mod.lin.weight
|
409 |
+
model.diffusion_model.double_blocks.8.img_attn.norm.key_norm.scale
|
410 |
+
model.diffusion_model.double_blocks.8.img_attn.norm.query_norm.scale
|
411 |
+
model.diffusion_model.double_blocks.8.img_attn.proj.bias
|
412 |
+
model.diffusion_model.double_blocks.8.img_attn.proj.weight
|
413 |
+
model.diffusion_model.double_blocks.8.img_attn.qkv.bias
|
414 |
+
model.diffusion_model.double_blocks.8.img_attn.qkv.weight
|
415 |
+
model.diffusion_model.double_blocks.8.img_mlp.0.bias
|
416 |
+
model.diffusion_model.double_blocks.8.img_mlp.0.weight
|
417 |
+
model.diffusion_model.double_blocks.8.img_mlp.2.bias
|
418 |
+
model.diffusion_model.double_blocks.8.img_mlp.2.weight
|
419 |
+
model.diffusion_model.double_blocks.8.img_mod.lin.bias
|
420 |
+
model.diffusion_model.double_blocks.8.img_mod.lin.weight
|
421 |
+
model.diffusion_model.double_blocks.8.txt_attn.norm.key_norm.scale
|
422 |
+
model.diffusion_model.double_blocks.8.txt_attn.norm.query_norm.scale
|
423 |
+
model.diffusion_model.double_blocks.8.txt_attn.proj.bias
|
424 |
+
model.diffusion_model.double_blocks.8.txt_attn.proj.weight
|
425 |
+
model.diffusion_model.double_blocks.8.txt_attn.qkv.bias
|
426 |
+
model.diffusion_model.double_blocks.8.txt_attn.qkv.weight
|
427 |
+
model.diffusion_model.double_blocks.8.txt_mlp.0.bias
|
428 |
+
model.diffusion_model.double_blocks.8.txt_mlp.0.weight
|
429 |
+
model.diffusion_model.double_blocks.8.txt_mlp.2.bias
|
430 |
+
model.diffusion_model.double_blocks.8.txt_mlp.2.weight
|
431 |
+
model.diffusion_model.double_blocks.8.txt_mod.lin.bias
|
432 |
+
model.diffusion_model.double_blocks.8.txt_mod.lin.weight
|
433 |
+
model.diffusion_model.double_blocks.9.img_attn.norm.key_norm.scale
|
434 |
+
model.diffusion_model.double_blocks.9.img_attn.norm.query_norm.scale
|
435 |
+
model.diffusion_model.double_blocks.9.img_attn.proj.bias
|
436 |
+
model.diffusion_model.double_blocks.9.img_attn.proj.weight
|
437 |
+
model.diffusion_model.double_blocks.9.img_attn.qkv.bias
|
438 |
+
model.diffusion_model.double_blocks.9.img_attn.qkv.weight
|
439 |
+
model.diffusion_model.double_blocks.9.img_mlp.0.bias
|
440 |
+
model.diffusion_model.double_blocks.9.img_mlp.0.weight
|
441 |
+
model.diffusion_model.double_blocks.9.img_mlp.2.bias
|
442 |
+
model.diffusion_model.double_blocks.9.img_mlp.2.weight
|
443 |
+
model.diffusion_model.double_blocks.9.img_mod.lin.bias
|
444 |
+
model.diffusion_model.double_blocks.9.img_mod.lin.weight
|
445 |
+
model.diffusion_model.double_blocks.9.txt_attn.norm.key_norm.scale
|
446 |
+
model.diffusion_model.double_blocks.9.txt_attn.norm.query_norm.scale
|
447 |
+
model.diffusion_model.double_blocks.9.txt_attn.proj.bias
|
448 |
+
model.diffusion_model.double_blocks.9.txt_attn.proj.weight
|
449 |
+
model.diffusion_model.double_blocks.9.txt_attn.qkv.bias
|
450 |
+
model.diffusion_model.double_blocks.9.txt_attn.qkv.weight
|
451 |
+
model.diffusion_model.double_blocks.9.txt_mlp.0.bias
|
452 |
+
model.diffusion_model.double_blocks.9.txt_mlp.0.weight
|
453 |
+
model.diffusion_model.double_blocks.9.txt_mlp.2.bias
|
454 |
+
model.diffusion_model.double_blocks.9.txt_mlp.2.weight
|
455 |
+
model.diffusion_model.double_blocks.9.txt_mod.lin.bias
|
456 |
+
model.diffusion_model.double_blocks.9.txt_mod.lin.weight
|
457 |
+
model.diffusion_model.final_layer.adaLN_modulation.1.bias
|
458 |
+
model.diffusion_model.final_layer.adaLN_modulation.1.weight
|
459 |
+
model.diffusion_model.final_layer.linear.bias
|
460 |
+
model.diffusion_model.final_layer.linear.weight
|
461 |
+
model.diffusion_model.guidance_in.in_layer.bias
|
462 |
+
model.diffusion_model.guidance_in.in_layer.weight
|
463 |
+
model.diffusion_model.guidance_in.out_layer.bias
|
464 |
+
model.diffusion_model.guidance_in.out_layer.weight
|
465 |
+
model.diffusion_model.img_in.bias
|
466 |
+
model.diffusion_model.img_in.weight
|
467 |
+
model.diffusion_model.single_blocks.0.linear1.bias
|
468 |
+
model.diffusion_model.single_blocks.0.linear1.weight
|
469 |
+
model.diffusion_model.single_blocks.0.linear2.bias
|
470 |
+
model.diffusion_model.single_blocks.0.linear2.weight
|
471 |
+
model.diffusion_model.single_blocks.0.modulation.lin.bias
|
472 |
+
model.diffusion_model.single_blocks.0.modulation.lin.weight
|
473 |
+
model.diffusion_model.single_blocks.0.norm.key_norm.scale
|
474 |
+
model.diffusion_model.single_blocks.0.norm.query_norm.scale
|
475 |
+
model.diffusion_model.single_blocks.1.linear1.bias
|
476 |
+
model.diffusion_model.single_blocks.1.linear1.weight
|
477 |
+
model.diffusion_model.single_blocks.1.linear2.bias
|
478 |
+
model.diffusion_model.single_blocks.1.linear2.weight
|
479 |
+
model.diffusion_model.single_blocks.1.modulation.lin.bias
|
480 |
+
model.diffusion_model.single_blocks.1.modulation.lin.weight
|
481 |
+
model.diffusion_model.single_blocks.1.norm.key_norm.scale
|
482 |
+
model.diffusion_model.single_blocks.1.norm.query_norm.scale
|
483 |
+
model.diffusion_model.single_blocks.10.linear1.bias
|
484 |
+
model.diffusion_model.single_blocks.10.linear1.weight
|
485 |
+
model.diffusion_model.single_blocks.10.linear2.bias
|
486 |
+
model.diffusion_model.single_blocks.10.linear2.weight
|
487 |
+
model.diffusion_model.single_blocks.10.modulation.lin.bias
|
488 |
+
model.diffusion_model.single_blocks.10.modulation.lin.weight
|
489 |
+
model.diffusion_model.single_blocks.10.norm.key_norm.scale
|
490 |
+
model.diffusion_model.single_blocks.10.norm.query_norm.scale
|
491 |
+
model.diffusion_model.single_blocks.11.linear1.bias
|
492 |
+
model.diffusion_model.single_blocks.11.linear1.weight
|
493 |
+
model.diffusion_model.single_blocks.11.linear2.bias
|
494 |
+
model.diffusion_model.single_blocks.11.linear2.weight
|
495 |
+
model.diffusion_model.single_blocks.11.modulation.lin.bias
|
496 |
+
model.diffusion_model.single_blocks.11.modulation.lin.weight
|
497 |
+
model.diffusion_model.single_blocks.11.norm.key_norm.scale
|
498 |
+
model.diffusion_model.single_blocks.11.norm.query_norm.scale
|
499 |
+
model.diffusion_model.single_blocks.12.linear1.bias
|
500 |
+
model.diffusion_model.single_blocks.12.linear1.weight
|
501 |
+
model.diffusion_model.single_blocks.12.linear2.bias
|
502 |
+
model.diffusion_model.single_blocks.12.linear2.weight
|
503 |
+
model.diffusion_model.single_blocks.12.modulation.lin.bias
|
504 |
+
model.diffusion_model.single_blocks.12.modulation.lin.weight
|
505 |
+
model.diffusion_model.single_blocks.12.norm.key_norm.scale
|
506 |
+
model.diffusion_model.single_blocks.12.norm.query_norm.scale
|
507 |
+
model.diffusion_model.single_blocks.13.linear1.bias
|
508 |
+
model.diffusion_model.single_blocks.13.linear1.weight
|
509 |
+
model.diffusion_model.single_blocks.13.linear2.bias
|
510 |
+
model.diffusion_model.single_blocks.13.linear2.weight
|
511 |
+
model.diffusion_model.single_blocks.13.modulation.lin.bias
|
512 |
+
model.diffusion_model.single_blocks.13.modulation.lin.weight
|
513 |
+
model.diffusion_model.single_blocks.13.norm.key_norm.scale
|
514 |
+
model.diffusion_model.single_blocks.13.norm.query_norm.scale
|
515 |
+
model.diffusion_model.single_blocks.14.linear1.bias
|
516 |
+
model.diffusion_model.single_blocks.14.linear1.weight
|
517 |
+
model.diffusion_model.single_blocks.14.linear2.bias
|
518 |
+
model.diffusion_model.single_blocks.14.linear2.weight
|
519 |
+
model.diffusion_model.single_blocks.14.modulation.lin.bias
|
520 |
+
model.diffusion_model.single_blocks.14.modulation.lin.weight
|
521 |
+
model.diffusion_model.single_blocks.14.norm.key_norm.scale
|
522 |
+
model.diffusion_model.single_blocks.14.norm.query_norm.scale
|
523 |
+
model.diffusion_model.single_blocks.15.linear1.bias
|
524 |
+
model.diffusion_model.single_blocks.15.linear1.weight
|
525 |
+
model.diffusion_model.single_blocks.15.linear2.bias
|
526 |
+
model.diffusion_model.single_blocks.15.linear2.weight
|
527 |
+
model.diffusion_model.single_blocks.15.modulation.lin.bias
|
528 |
+
model.diffusion_model.single_blocks.15.modulation.lin.weight
|
529 |
+
model.diffusion_model.single_blocks.15.norm.key_norm.scale
|
530 |
+
model.diffusion_model.single_blocks.15.norm.query_norm.scale
|
531 |
+
model.diffusion_model.single_blocks.16.linear1.bias
|
532 |
+
model.diffusion_model.single_blocks.16.linear1.weight
|
533 |
+
model.diffusion_model.single_blocks.16.linear2.bias
|
534 |
+
model.diffusion_model.single_blocks.16.linear2.weight
|
535 |
+
model.diffusion_model.single_blocks.16.modulation.lin.bias
|
536 |
+
model.diffusion_model.single_blocks.16.modulation.lin.weight
|
537 |
+
model.diffusion_model.single_blocks.16.norm.key_norm.scale
|
538 |
+
model.diffusion_model.single_blocks.16.norm.query_norm.scale
|
539 |
+
model.diffusion_model.single_blocks.17.linear1.bias
|
540 |
+
model.diffusion_model.single_blocks.17.linear1.weight
|
541 |
+
model.diffusion_model.single_blocks.17.linear2.bias
|
542 |
+
model.diffusion_model.single_blocks.17.linear2.weight
|
543 |
+
model.diffusion_model.single_blocks.17.modulation.lin.bias
|
544 |
+
model.diffusion_model.single_blocks.17.modulation.lin.weight
|
545 |
+
model.diffusion_model.single_blocks.17.norm.key_norm.scale
|
546 |
+
model.diffusion_model.single_blocks.17.norm.query_norm.scale
|
547 |
+
model.diffusion_model.single_blocks.18.linear1.bias
|
548 |
+
model.diffusion_model.single_blocks.18.linear1.weight
|
549 |
+
model.diffusion_model.single_blocks.18.linear2.bias
|
550 |
+
model.diffusion_model.single_blocks.18.linear2.weight
|
551 |
+
model.diffusion_model.single_blocks.18.modulation.lin.bias
|
552 |
+
model.diffusion_model.single_blocks.18.modulation.lin.weight
|
553 |
+
model.diffusion_model.single_blocks.18.norm.key_norm.scale
|
554 |
+
model.diffusion_model.single_blocks.18.norm.query_norm.scale
|
555 |
+
model.diffusion_model.single_blocks.19.linear1.bias
|
556 |
+
model.diffusion_model.single_blocks.19.linear1.weight
|
557 |
+
model.diffusion_model.single_blocks.19.linear2.bias
|
558 |
+
model.diffusion_model.single_blocks.19.linear2.weight
|
559 |
+
model.diffusion_model.single_blocks.19.modulation.lin.bias
|
560 |
+
model.diffusion_model.single_blocks.19.modulation.lin.weight
|
561 |
+
model.diffusion_model.single_blocks.19.norm.key_norm.scale
|
562 |
+
model.diffusion_model.single_blocks.19.norm.query_norm.scale
|
563 |
+
model.diffusion_model.single_blocks.2.linear1.bias
|
564 |
+
model.diffusion_model.single_blocks.2.linear1.weight
|
565 |
+
model.diffusion_model.single_blocks.2.linear2.bias
|
566 |
+
model.diffusion_model.single_blocks.2.linear2.weight
|
567 |
+
model.diffusion_model.single_blocks.2.modulation.lin.bias
|
568 |
+
model.diffusion_model.single_blocks.2.modulation.lin.weight
|
569 |
+
model.diffusion_model.single_blocks.2.norm.key_norm.scale
|
570 |
+
model.diffusion_model.single_blocks.2.norm.query_norm.scale
|
571 |
+
model.diffusion_model.single_blocks.20.linear1.bias
|
572 |
+
model.diffusion_model.single_blocks.20.linear1.weight
|
573 |
+
model.diffusion_model.single_blocks.20.linear2.bias
|
574 |
+
model.diffusion_model.single_blocks.20.linear2.weight
|
575 |
+
model.diffusion_model.single_blocks.20.modulation.lin.bias
|
576 |
+
model.diffusion_model.single_blocks.20.modulation.lin.weight
|
577 |
+
model.diffusion_model.single_blocks.20.norm.key_norm.scale
|
578 |
+
model.diffusion_model.single_blocks.20.norm.query_norm.scale
|
579 |
+
model.diffusion_model.single_blocks.21.linear1.bias
|
580 |
+
model.diffusion_model.single_blocks.21.linear1.weight
|
581 |
+
model.diffusion_model.single_blocks.21.linear2.bias
|
582 |
+
model.diffusion_model.single_blocks.21.linear2.weight
|
583 |
+
model.diffusion_model.single_blocks.21.modulation.lin.bias
|
584 |
+
model.diffusion_model.single_blocks.21.modulation.lin.weight
|
585 |
+
model.diffusion_model.single_blocks.21.norm.key_norm.scale
|
586 |
+
model.diffusion_model.single_blocks.21.norm.query_norm.scale
|
587 |
+
model.diffusion_model.single_blocks.22.linear1.bias
|
588 |
+
model.diffusion_model.single_blocks.22.linear1.weight
|
589 |
+
model.diffusion_model.single_blocks.22.linear2.bias
|
590 |
+
model.diffusion_model.single_blocks.22.linear2.weight
|
591 |
+
model.diffusion_model.single_blocks.22.modulation.lin.bias
|
592 |
+
model.diffusion_model.single_blocks.22.modulation.lin.weight
|
593 |
+
model.diffusion_model.single_blocks.22.norm.key_norm.scale
|
594 |
+
model.diffusion_model.single_blocks.22.norm.query_norm.scale
|
595 |
+
model.diffusion_model.single_blocks.23.linear1.bias
|
596 |
+
model.diffusion_model.single_blocks.23.linear1.weight
|
597 |
+
model.diffusion_model.single_blocks.23.linear2.bias
|
598 |
+
model.diffusion_model.single_blocks.23.linear2.weight
|
599 |
+
model.diffusion_model.single_blocks.23.modulation.lin.bias
|
600 |
+
model.diffusion_model.single_blocks.23.modulation.lin.weight
|
601 |
+
model.diffusion_model.single_blocks.23.norm.key_norm.scale
|
602 |
+
model.diffusion_model.single_blocks.23.norm.query_norm.scale
|
603 |
+
model.diffusion_model.single_blocks.24.linear1.bias
|
604 |
+
model.diffusion_model.single_blocks.24.linear1.weight
|
605 |
+
model.diffusion_model.single_blocks.24.linear2.bias
|
606 |
+
model.diffusion_model.single_blocks.24.linear2.weight
|
607 |
+
model.diffusion_model.single_blocks.24.modulation.lin.bias
|
608 |
+
model.diffusion_model.single_blocks.24.modulation.lin.weight
|
609 |
+
model.diffusion_model.single_blocks.24.norm.key_norm.scale
|
610 |
+
model.diffusion_model.single_blocks.24.norm.query_norm.scale
|
611 |
+
model.diffusion_model.single_blocks.25.linear1.bias
|
612 |
+
model.diffusion_model.single_blocks.25.linear1.weight
|
613 |
+
model.diffusion_model.single_blocks.25.linear2.bias
|
614 |
+
model.diffusion_model.single_blocks.25.linear2.weight
|
615 |
+
model.diffusion_model.single_blocks.25.modulation.lin.bias
|
616 |
+
model.diffusion_model.single_blocks.25.modulation.lin.weight
|
617 |
+
model.diffusion_model.single_blocks.25.norm.key_norm.scale
|
618 |
+
model.diffusion_model.single_blocks.25.norm.query_norm.scale
|
619 |
+
model.diffusion_model.single_blocks.26.linear1.bias
|
620 |
+
model.diffusion_model.single_blocks.26.linear1.weight
|
621 |
+
model.diffusion_model.single_blocks.26.linear2.bias
|
622 |
+
model.diffusion_model.single_blocks.26.linear2.weight
|
623 |
+
model.diffusion_model.single_blocks.26.modulation.lin.bias
|
624 |
+
model.diffusion_model.single_blocks.26.modulation.lin.weight
|
625 |
+
model.diffusion_model.single_blocks.26.norm.key_norm.scale
|
626 |
+
model.diffusion_model.single_blocks.26.norm.query_norm.scale
|
627 |
+
model.diffusion_model.single_blocks.27.linear1.bias
|
628 |
+
model.diffusion_model.single_blocks.27.linear1.weight
|
629 |
+
model.diffusion_model.single_blocks.27.linear2.bias
|
630 |
+
model.diffusion_model.single_blocks.27.linear2.weight
|
631 |
+
model.diffusion_model.single_blocks.27.modulation.lin.bias
|
632 |
+
model.diffusion_model.single_blocks.27.modulation.lin.weight
|
633 |
+
model.diffusion_model.single_blocks.27.norm.key_norm.scale
|
634 |
+
model.diffusion_model.single_blocks.27.norm.query_norm.scale
|
635 |
+
model.diffusion_model.single_blocks.28.linear1.bias
|
636 |
+
model.diffusion_model.single_blocks.28.linear1.weight
|
637 |
+
model.diffusion_model.single_blocks.28.linear2.bias
|
638 |
+
model.diffusion_model.single_blocks.28.linear2.weight
|
639 |
+
model.diffusion_model.single_blocks.28.modulation.lin.bias
|
640 |
+
model.diffusion_model.single_blocks.28.modulation.lin.weight
|
641 |
+
model.diffusion_model.single_blocks.28.norm.key_norm.scale
|
642 |
+
model.diffusion_model.single_blocks.28.norm.query_norm.scale
|
643 |
+
model.diffusion_model.single_blocks.29.linear1.bias
|
644 |
+
model.diffusion_model.single_blocks.29.linear1.weight
|
645 |
+
model.diffusion_model.single_blocks.29.linear2.bias
|
646 |
+
model.diffusion_model.single_blocks.29.linear2.weight
|
647 |
+
model.diffusion_model.single_blocks.29.modulation.lin.bias
|
648 |
+
model.diffusion_model.single_blocks.29.modulation.lin.weight
|
649 |
+
model.diffusion_model.single_blocks.29.norm.key_norm.scale
|
650 |
+
model.diffusion_model.single_blocks.29.norm.query_norm.scale
|
651 |
+
model.diffusion_model.single_blocks.3.linear1.bias
|
652 |
+
model.diffusion_model.single_blocks.3.linear1.weight
|
653 |
+
model.diffusion_model.single_blocks.3.linear2.bias
|
654 |
+
model.diffusion_model.single_blocks.3.linear2.weight
|
655 |
+
model.diffusion_model.single_blocks.3.modulation.lin.bias
|
656 |
+
model.diffusion_model.single_blocks.3.modulation.lin.weight
|
657 |
+
model.diffusion_model.single_blocks.3.norm.key_norm.scale
|
658 |
+
model.diffusion_model.single_blocks.3.norm.query_norm.scale
|
659 |
+
model.diffusion_model.single_blocks.30.linear1.bias
|
660 |
+
model.diffusion_model.single_blocks.30.linear1.weight
|
661 |
+
model.diffusion_model.single_blocks.30.linear2.bias
|
662 |
+
model.diffusion_model.single_blocks.30.linear2.weight
|
663 |
+
model.diffusion_model.single_blocks.30.modulation.lin.bias
|
664 |
+
model.diffusion_model.single_blocks.30.modulation.lin.weight
|
665 |
+
model.diffusion_model.single_blocks.30.norm.key_norm.scale
|
666 |
+
model.diffusion_model.single_blocks.30.norm.query_norm.scale
|
667 |
+
model.diffusion_model.single_blocks.31.linear1.bias
|
668 |
+
model.diffusion_model.single_blocks.31.linear1.weight
|
669 |
+
model.diffusion_model.single_blocks.31.linear2.bias
|
670 |
+
model.diffusion_model.single_blocks.31.linear2.weight
|
671 |
+
model.diffusion_model.single_blocks.31.modulation.lin.bias
|
672 |
+
model.diffusion_model.single_blocks.31.modulation.lin.weight
|
673 |
+
model.diffusion_model.single_blocks.31.norm.key_norm.scale
|
674 |
+
model.diffusion_model.single_blocks.31.norm.query_norm.scale
|
675 |
+
model.diffusion_model.single_blocks.32.linear1.bias
|
676 |
+
model.diffusion_model.single_blocks.32.linear1.weight
|
677 |
+
model.diffusion_model.single_blocks.32.linear2.bias
|
678 |
+
model.diffusion_model.single_blocks.32.linear2.weight
|
679 |
+
model.diffusion_model.single_blocks.32.modulation.lin.bias
|
680 |
+
model.diffusion_model.single_blocks.32.modulation.lin.weight
|
681 |
+
model.diffusion_model.single_blocks.32.norm.key_norm.scale
|
682 |
+
model.diffusion_model.single_blocks.32.norm.query_norm.scale
|
683 |
+
model.diffusion_model.single_blocks.33.linear1.bias
|
684 |
+
model.diffusion_model.single_blocks.33.linear1.weight
|
685 |
+
model.diffusion_model.single_blocks.33.linear2.bias
|
686 |
+
model.diffusion_model.single_blocks.33.linear2.weight
|
687 |
+
model.diffusion_model.single_blocks.33.modulation.lin.bias
|
688 |
+
model.diffusion_model.single_blocks.33.modulation.lin.weight
|
689 |
+
model.diffusion_model.single_blocks.33.norm.key_norm.scale
|
690 |
+
model.diffusion_model.single_blocks.33.norm.query_norm.scale
|
691 |
+
model.diffusion_model.single_blocks.34.linear1.bias
|
692 |
+
model.diffusion_model.single_blocks.34.linear1.weight
|
693 |
+
model.diffusion_model.single_blocks.34.linear2.bias
|
694 |
+
model.diffusion_model.single_blocks.34.linear2.weight
|
695 |
+
model.diffusion_model.single_blocks.34.modulation.lin.bias
|
696 |
+
model.diffusion_model.single_blocks.34.modulation.lin.weight
|
697 |
+
model.diffusion_model.single_blocks.34.norm.key_norm.scale
|
698 |
+
model.diffusion_model.single_blocks.34.norm.query_norm.scale
|
699 |
+
model.diffusion_model.single_blocks.35.linear1.bias
|
700 |
+
model.diffusion_model.single_blocks.35.linear1.weight
|
701 |
+
model.diffusion_model.single_blocks.35.linear2.bias
|
702 |
+
model.diffusion_model.single_blocks.35.linear2.weight
|
703 |
+
model.diffusion_model.single_blocks.35.modulation.lin.bias
|
704 |
+
model.diffusion_model.single_blocks.35.modulation.lin.weight
|
705 |
+
model.diffusion_model.single_blocks.35.norm.key_norm.scale
|
706 |
+
model.diffusion_model.single_blocks.35.norm.query_norm.scale
|
707 |
+
model.diffusion_model.single_blocks.36.linear1.bias
|
708 |
+
model.diffusion_model.single_blocks.36.linear1.weight
|
709 |
+
model.diffusion_model.single_blocks.36.linear2.bias
|
710 |
+
model.diffusion_model.single_blocks.36.linear2.weight
|
711 |
+
model.diffusion_model.single_blocks.36.modulation.lin.bias
|
712 |
+
model.diffusion_model.single_blocks.36.modulation.lin.weight
|
713 |
+
model.diffusion_model.single_blocks.36.norm.key_norm.scale
|
714 |
+
model.diffusion_model.single_blocks.36.norm.query_norm.scale
|
715 |
+
model.diffusion_model.single_blocks.37.linear1.bias
|
716 |
+
model.diffusion_model.single_blocks.37.linear1.weight
|
717 |
+
model.diffusion_model.single_blocks.37.linear2.bias
|
718 |
+
model.diffusion_model.single_blocks.37.linear2.weight
|
719 |
+
model.diffusion_model.single_blocks.37.modulation.lin.bias
|
720 |
+
model.diffusion_model.single_blocks.37.modulation.lin.weight
|
721 |
+
model.diffusion_model.single_blocks.37.norm.key_norm.scale
|
722 |
+
model.diffusion_model.single_blocks.37.norm.query_norm.scale
|
723 |
+
model.diffusion_model.single_blocks.4.linear1.bias
|
724 |
+
model.diffusion_model.single_blocks.4.linear1.weight
|
725 |
+
model.diffusion_model.single_blocks.4.linear2.bias
|
726 |
+
model.diffusion_model.single_blocks.4.linear2.weight
|
727 |
+
model.diffusion_model.single_blocks.4.modulation.lin.bias
|
728 |
+
model.diffusion_model.single_blocks.4.modulation.lin.weight
|
729 |
+
model.diffusion_model.single_blocks.4.norm.key_norm.scale
|
730 |
+
model.diffusion_model.single_blocks.4.norm.query_norm.scale
|
731 |
+
model.diffusion_model.single_blocks.5.linear1.bias
|
732 |
+
model.diffusion_model.single_blocks.5.linear1.weight
|
733 |
+
model.diffusion_model.single_blocks.5.linear2.bias
|
734 |
+
model.diffusion_model.single_blocks.5.linear2.weight
|
735 |
+
model.diffusion_model.single_blocks.5.modulation.lin.bias
|
736 |
+
model.diffusion_model.single_blocks.5.modulation.lin.weight
|
737 |
+
model.diffusion_model.single_blocks.5.norm.key_norm.scale
|
738 |
+
model.diffusion_model.single_blocks.5.norm.query_norm.scale
|
739 |
+
model.diffusion_model.single_blocks.6.linear1.bias
|
740 |
+
model.diffusion_model.single_blocks.6.linear1.weight
|
741 |
+
model.diffusion_model.single_blocks.6.linear2.bias
|
742 |
+
model.diffusion_model.single_blocks.6.linear2.weight
|
743 |
+
model.diffusion_model.single_blocks.6.modulation.lin.bias
|
744 |
+
model.diffusion_model.single_blocks.6.modulation.lin.weight
|
745 |
+
model.diffusion_model.single_blocks.6.norm.key_norm.scale
|
746 |
+
model.diffusion_model.single_blocks.6.norm.query_norm.scale
|
747 |
+
model.diffusion_model.single_blocks.7.linear1.bias
|
748 |
+
model.diffusion_model.single_blocks.7.linear1.weight
|
749 |
+
model.diffusion_model.single_blocks.7.linear2.bias
|
750 |
+
model.diffusion_model.single_blocks.7.linear2.weight
|
751 |
+
model.diffusion_model.single_blocks.7.modulation.lin.bias
|
752 |
+
model.diffusion_model.single_blocks.7.modulation.lin.weight
|
753 |
+
model.diffusion_model.single_blocks.7.norm.key_norm.scale
|
754 |
+
model.diffusion_model.single_blocks.7.norm.query_norm.scale
|
755 |
+
model.diffusion_model.single_blocks.8.linear1.bias
|
756 |
+
model.diffusion_model.single_blocks.8.linear1.weight
|
757 |
+
model.diffusion_model.single_blocks.8.linear2.bias
|
758 |
+
model.diffusion_model.single_blocks.8.linear2.weight
|
759 |
+
model.diffusion_model.single_blocks.8.modulation.lin.bias
|
760 |
+
model.diffusion_model.single_blocks.8.modulation.lin.weight
|
761 |
+
model.diffusion_model.single_blocks.8.norm.key_norm.scale
|
762 |
+
model.diffusion_model.single_blocks.8.norm.query_norm.scale
|
763 |
+
model.diffusion_model.single_blocks.9.linear1.bias
|
764 |
+
model.diffusion_model.single_blocks.9.linear1.weight
|
765 |
+
model.diffusion_model.single_blocks.9.linear2.bias
|
766 |
+
model.diffusion_model.single_blocks.9.linear2.weight
|
767 |
+
model.diffusion_model.single_blocks.9.modulation.lin.bias
|
768 |
+
model.diffusion_model.single_blocks.9.modulation.lin.weight
|
769 |
+
model.diffusion_model.single_blocks.9.norm.key_norm.scale
|
770 |
+
model.diffusion_model.single_blocks.9.norm.query_norm.scale
|
771 |
+
model.diffusion_model.time_in.in_layer.bias
|
772 |
+
model.diffusion_model.time_in.in_layer.weight
|
773 |
+
model.diffusion_model.time_in.out_layer.bias
|
774 |
+
model.diffusion_model.time_in.out_layer.weight
|
775 |
+
model.diffusion_model.txt_in.bias
|
776 |
+
model.diffusion_model.txt_in.weight
|
777 |
+
model.diffusion_model.vector_in.in_layer.bias
|
778 |
+
model.diffusion_model.vector_in.in_layer.weight
|
779 |
+
model.diffusion_model.vector_in.out_layer.bias
|
780 |
+
model.diffusion_model.vector_in.out_layer.weight
|
781 |
+
text_encoders.clip_l.logit_scale
|
782 |
+
text_encoders.clip_l.transformer.text_model.embeddings.position_embedding.weight
|
783 |
+
text_encoders.clip_l.transformer.text_model.embeddings.token_embedding.weight
|
784 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.layer_norm1.bias
|
785 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.layer_norm1.weight
|
786 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.layer_norm2.bias
|
787 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.layer_norm2.weight
|
788 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.mlp.fc1.bias
|
789 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.mlp.fc1.weight
|
790 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.mlp.fc2.bias
|
791 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.mlp.fc2.weight
|
792 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.k_proj.bias
|
793 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.k_proj.weight
|
794 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.out_proj.bias
|
795 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.out_proj.weight
|
796 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.q_proj.bias
|
797 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.q_proj.weight
|
798 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.v_proj.bias
|
799 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.0.self_attn.v_proj.weight
|
800 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.layer_norm1.bias
|
801 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.layer_norm1.weight
|
802 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.layer_norm2.bias
|
803 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.layer_norm2.weight
|
804 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.mlp.fc1.bias
|
805 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.mlp.fc1.weight
|
806 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.mlp.fc2.bias
|
807 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.mlp.fc2.weight
|
808 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.k_proj.bias
|
809 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.k_proj.weight
|
810 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.out_proj.bias
|
811 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.out_proj.weight
|
812 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.q_proj.bias
|
813 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.q_proj.weight
|
814 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.v_proj.bias
|
815 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.1.self_attn.v_proj.weight
|
816 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.layer_norm1.bias
|
817 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.layer_norm1.weight
|
818 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.layer_norm2.bias
|
819 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.layer_norm2.weight
|
820 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.mlp.fc1.bias
|
821 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.mlp.fc1.weight
|
822 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.mlp.fc2.bias
|
823 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.mlp.fc2.weight
|
824 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.self_attn.k_proj.bias
|
825 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.self_attn.k_proj.weight
|
826 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.self_attn.out_proj.bias
|
827 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.self_attn.out_proj.weight
|
828 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.self_attn.q_proj.bias
|
829 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.self_attn.q_proj.weight
|
830 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.self_attn.v_proj.bias
|
831 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.10.self_attn.v_proj.weight
|
832 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.layer_norm1.bias
|
833 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.layer_norm1.weight
|
834 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.layer_norm2.bias
|
835 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.layer_norm2.weight
|
836 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.mlp.fc1.bias
|
837 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.mlp.fc1.weight
|
838 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.mlp.fc2.bias
|
839 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.mlp.fc2.weight
|
840 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.self_attn.k_proj.bias
|
841 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.self_attn.k_proj.weight
|
842 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.self_attn.out_proj.bias
|
843 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.self_attn.out_proj.weight
|
844 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.self_attn.q_proj.bias
|
845 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.self_attn.q_proj.weight
|
846 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.self_attn.v_proj.bias
|
847 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.11.self_attn.v_proj.weight
|
848 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.layer_norm1.bias
|
849 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.layer_norm1.weight
|
850 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.layer_norm2.bias
|
851 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.layer_norm2.weight
|
852 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.mlp.fc1.bias
|
853 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.mlp.fc1.weight
|
854 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.mlp.fc2.bias
|
855 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.mlp.fc2.weight
|
856 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.self_attn.k_proj.bias
|
857 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.self_attn.k_proj.weight
|
858 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.self_attn.out_proj.bias
|
859 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.self_attn.out_proj.weight
|
860 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.self_attn.q_proj.bias
|
861 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.self_attn.q_proj.weight
|
862 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.self_attn.v_proj.bias
|
863 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.2.self_attn.v_proj.weight
|
864 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.layer_norm1.bias
|
865 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.layer_norm1.weight
|
866 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.layer_norm2.bias
|
867 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.layer_norm2.weight
|
868 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.mlp.fc1.bias
|
869 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.mlp.fc1.weight
|
870 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.mlp.fc2.bias
|
871 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.mlp.fc2.weight
|
872 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.self_attn.k_proj.bias
|
873 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.self_attn.k_proj.weight
|
874 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.self_attn.out_proj.bias
|
875 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.self_attn.out_proj.weight
|
876 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.self_attn.q_proj.bias
|
877 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.self_attn.q_proj.weight
|
878 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.self_attn.v_proj.bias
|
879 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.3.self_attn.v_proj.weight
|
880 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.layer_norm1.bias
|
881 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.layer_norm1.weight
|
882 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.layer_norm2.bias
|
883 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.layer_norm2.weight
|
884 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.mlp.fc1.bias
|
885 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.mlp.fc1.weight
|
886 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.mlp.fc2.bias
|
887 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.mlp.fc2.weight
|
888 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.self_attn.k_proj.bias
|
889 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.self_attn.k_proj.weight
|
890 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.self_attn.out_proj.bias
|
891 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.self_attn.out_proj.weight
|
892 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.self_attn.q_proj.bias
|
893 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.self_attn.q_proj.weight
|
894 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.self_attn.v_proj.bias
|
895 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.4.self_attn.v_proj.weight
|
896 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.layer_norm1.bias
|
897 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.layer_norm1.weight
|
898 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.layer_norm2.bias
|
899 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.layer_norm2.weight
|
900 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.mlp.fc1.bias
|
901 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.mlp.fc1.weight
|
902 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.mlp.fc2.bias
|
903 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.mlp.fc2.weight
|
904 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.k_proj.bias
|
905 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.k_proj.weight
|
906 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.out_proj.bias
|
907 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.out_proj.weight
|
908 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.q_proj.bias
|
909 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.q_proj.weight
|
910 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.v_proj.bias
|
911 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.5.self_attn.v_proj.weight
|
912 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.layer_norm1.bias
|
913 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.layer_norm1.weight
|
914 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.layer_norm2.bias
|
915 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.layer_norm2.weight
|
916 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.mlp.fc1.bias
|
917 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.mlp.fc1.weight
|
918 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.mlp.fc2.bias
|
919 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.mlp.fc2.weight
|
920 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.k_proj.bias
|
921 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.k_proj.weight
|
922 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.out_proj.bias
|
923 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.out_proj.weight
|
924 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.q_proj.bias
|
925 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.q_proj.weight
|
926 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.v_proj.bias
|
927 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.6.self_attn.v_proj.weight
|
928 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.layer_norm1.bias
|
929 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.layer_norm1.weight
|
930 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.layer_norm2.bias
|
931 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.layer_norm2.weight
|
932 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.mlp.fc1.bias
|
933 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.mlp.fc1.weight
|
934 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.mlp.fc2.bias
|
935 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.mlp.fc2.weight
|
936 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.k_proj.bias
|
937 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.k_proj.weight
|
938 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.out_proj.bias
|
939 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.out_proj.weight
|
940 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.q_proj.bias
|
941 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.q_proj.weight
|
942 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.v_proj.bias
|
943 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.7.self_attn.v_proj.weight
|
944 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.layer_norm1.bias
|
945 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.layer_norm1.weight
|
946 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.layer_norm2.bias
|
947 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.layer_norm2.weight
|
948 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.mlp.fc1.bias
|
949 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.mlp.fc1.weight
|
950 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.mlp.fc2.bias
|
951 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.mlp.fc2.weight
|
952 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.k_proj.bias
|
953 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.k_proj.weight
|
954 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.out_proj.bias
|
955 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.out_proj.weight
|
956 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.q_proj.bias
|
957 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.q_proj.weight
|
958 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.v_proj.bias
|
959 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.8.self_attn.v_proj.weight
|
960 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.layer_norm1.bias
|
961 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.layer_norm1.weight
|
962 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.layer_norm2.bias
|
963 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.layer_norm2.weight
|
964 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.mlp.fc1.bias
|
965 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.mlp.fc1.weight
|
966 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.mlp.fc2.bias
|
967 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.mlp.fc2.weight
|
968 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.k_proj.bias
|
969 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.k_proj.weight
|
970 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.out_proj.bias
|
971 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.out_proj.weight
|
972 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.q_proj.bias
|
973 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.q_proj.weight
|
974 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.v_proj.bias
|
975 |
+
text_encoders.clip_l.transformer.text_model.encoder.layers.9.self_attn.v_proj.weight
|
976 |
+
text_encoders.clip_l.transformer.text_model.final_layer_norm.bias
|
977 |
+
text_encoders.clip_l.transformer.text_model.final_layer_norm.weight
|
978 |
+
text_encoders.clip_l.transformer.text_projection.weight
|
979 |
+
text_encoders.t5xxl.logit_scale
|
980 |
+
text_encoders.t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.k.weight
|
981 |
+
text_encoders.t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.o.weight
|
982 |
+
text_encoders.t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.q.weight
|
983 |
+
text_encoders.t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.relative_attention_bias.weight
|
984 |
+
text_encoders.t5xxl.transformer.encoder.block.0.layer.0.SelfAttention.v.weight
|
985 |
+
text_encoders.t5xxl.transformer.encoder.block.0.layer.0.layer_norm.weight
|
986 |
+
text_encoders.t5xxl.transformer.encoder.block.0.layer.1.DenseReluDense.wi_0.weight
|
987 |
+
text_encoders.t5xxl.transformer.encoder.block.0.layer.1.DenseReluDense.wi_1.weight
|
988 |
+
text_encoders.t5xxl.transformer.encoder.block.0.layer.1.DenseReluDense.wo.weight
|
989 |
+
text_encoders.t5xxl.transformer.encoder.block.0.layer.1.layer_norm.weight
|
990 |
+
text_encoders.t5xxl.transformer.encoder.block.1.layer.0.SelfAttention.k.weight
|
991 |
+
text_encoders.t5xxl.transformer.encoder.block.1.layer.0.SelfAttention.o.weight
|
992 |
+
text_encoders.t5xxl.transformer.encoder.block.1.layer.0.SelfAttention.q.weight
|
993 |
+
text_encoders.t5xxl.transformer.encoder.block.1.layer.0.SelfAttention.v.weight
|
994 |
+
text_encoders.t5xxl.transformer.encoder.block.1.layer.0.layer_norm.weight
|
995 |
+
text_encoders.t5xxl.transformer.encoder.block.1.layer.1.DenseReluDense.wi_0.weight
|
996 |
+
text_encoders.t5xxl.transformer.encoder.block.1.layer.1.DenseReluDense.wi_1.weight
|
997 |
+
text_encoders.t5xxl.transformer.encoder.block.1.layer.1.DenseReluDense.wo.weight
|
998 |
+
text_encoders.t5xxl.transformer.encoder.block.1.layer.1.layer_norm.weight
|
999 |
+
text_encoders.t5xxl.transformer.encoder.block.10.layer.0.SelfAttention.k.weight
|
1000 |
+
text_encoders.t5xxl.transformer.encoder.block.10.layer.0.SelfAttention.o.weight
|
1001 |
+
text_encoders.t5xxl.transformer.encoder.block.10.layer.0.SelfAttention.q.weight
|
1002 |
+
text_encoders.t5xxl.transformer.encoder.block.10.layer.0.SelfAttention.v.weight
|
1003 |
+
text_encoders.t5xxl.transformer.encoder.block.10.layer.0.layer_norm.weight
|
1004 |
+
text_encoders.t5xxl.transformer.encoder.block.10.layer.1.DenseReluDense.wi_0.weight
|
1005 |
+
text_encoders.t5xxl.transformer.encoder.block.10.layer.1.DenseReluDense.wi_1.weight
|
1006 |
+
text_encoders.t5xxl.transformer.encoder.block.10.layer.1.DenseReluDense.wo.weight
|
1007 |
+
text_encoders.t5xxl.transformer.encoder.block.10.layer.1.layer_norm.weight
|
1008 |
+
text_encoders.t5xxl.transformer.encoder.block.11.layer.0.SelfAttention.k.weight
|
1009 |
+
text_encoders.t5xxl.transformer.encoder.block.11.layer.0.SelfAttention.o.weight
|
1010 |
+
text_encoders.t5xxl.transformer.encoder.block.11.layer.0.SelfAttention.q.weight
|
1011 |
+
text_encoders.t5xxl.transformer.encoder.block.11.layer.0.SelfAttention.v.weight
|
1012 |
+
text_encoders.t5xxl.transformer.encoder.block.11.layer.0.layer_norm.weight
|
1013 |
+
text_encoders.t5xxl.transformer.encoder.block.11.layer.1.DenseReluDense.wi_0.weight
|
1014 |
+
text_encoders.t5xxl.transformer.encoder.block.11.layer.1.DenseReluDense.wi_1.weight
|
1015 |
+
text_encoders.t5xxl.transformer.encoder.block.11.layer.1.DenseReluDense.wo.weight
|
1016 |
+
text_encoders.t5xxl.transformer.encoder.block.11.layer.1.layer_norm.weight
|
1017 |
+
text_encoders.t5xxl.transformer.encoder.block.12.layer.0.SelfAttention.k.weight
|
1018 |
+
text_encoders.t5xxl.transformer.encoder.block.12.layer.0.SelfAttention.o.weight
|
1019 |
+
text_encoders.t5xxl.transformer.encoder.block.12.layer.0.SelfAttention.q.weight
|
1020 |
+
text_encoders.t5xxl.transformer.encoder.block.12.layer.0.SelfAttention.v.weight
|
1021 |
+
text_encoders.t5xxl.transformer.encoder.block.12.layer.0.layer_norm.weight
|
1022 |
+
text_encoders.t5xxl.transformer.encoder.block.12.layer.1.DenseReluDense.wi_0.weight
|
1023 |
+
text_encoders.t5xxl.transformer.encoder.block.12.layer.1.DenseReluDense.wi_1.weight
|
1024 |
+
text_encoders.t5xxl.transformer.encoder.block.12.layer.1.DenseReluDense.wo.weight
|
1025 |
+
text_encoders.t5xxl.transformer.encoder.block.12.layer.1.layer_norm.weight
|
1026 |
+
text_encoders.t5xxl.transformer.encoder.block.13.layer.0.SelfAttention.k.weight
|
1027 |
+
text_encoders.t5xxl.transformer.encoder.block.13.layer.0.SelfAttention.o.weight
|
1028 |
+
text_encoders.t5xxl.transformer.encoder.block.13.layer.0.SelfAttention.q.weight
|
1029 |
+
text_encoders.t5xxl.transformer.encoder.block.13.layer.0.SelfAttention.v.weight
|
1030 |
+
text_encoders.t5xxl.transformer.encoder.block.13.layer.0.layer_norm.weight
|
1031 |
+
text_encoders.t5xxl.transformer.encoder.block.13.layer.1.DenseReluDense.wi_0.weight
|
1032 |
+
text_encoders.t5xxl.transformer.encoder.block.13.layer.1.DenseReluDense.wi_1.weight
|
1033 |
+
text_encoders.t5xxl.transformer.encoder.block.13.layer.1.DenseReluDense.wo.weight
|
1034 |
+
text_encoders.t5xxl.transformer.encoder.block.13.layer.1.layer_norm.weight
|
1035 |
+
text_encoders.t5xxl.transformer.encoder.block.14.layer.0.SelfAttention.k.weight
|
1036 |
+
text_encoders.t5xxl.transformer.encoder.block.14.layer.0.SelfAttention.o.weight
|
1037 |
+
text_encoders.t5xxl.transformer.encoder.block.14.layer.0.SelfAttention.q.weight
|
1038 |
+
text_encoders.t5xxl.transformer.encoder.block.14.layer.0.SelfAttention.v.weight
|
1039 |
+
text_encoders.t5xxl.transformer.encoder.block.14.layer.0.layer_norm.weight
|
1040 |
+
text_encoders.t5xxl.transformer.encoder.block.14.layer.1.DenseReluDense.wi_0.weight
|
1041 |
+
text_encoders.t5xxl.transformer.encoder.block.14.layer.1.DenseReluDense.wi_1.weight
|
1042 |
+
text_encoders.t5xxl.transformer.encoder.block.14.layer.1.DenseReluDense.wo.weight
|
1043 |
+
text_encoders.t5xxl.transformer.encoder.block.14.layer.1.layer_norm.weight
|
1044 |
+
text_encoders.t5xxl.transformer.encoder.block.15.layer.0.SelfAttention.k.weight
|
1045 |
+
text_encoders.t5xxl.transformer.encoder.block.15.layer.0.SelfAttention.o.weight
|
1046 |
+
text_encoders.t5xxl.transformer.encoder.block.15.layer.0.SelfAttention.q.weight
|
1047 |
+
text_encoders.t5xxl.transformer.encoder.block.15.layer.0.SelfAttention.v.weight
|
1048 |
+
text_encoders.t5xxl.transformer.encoder.block.15.layer.0.layer_norm.weight
|
1049 |
+
text_encoders.t5xxl.transformer.encoder.block.15.layer.1.DenseReluDense.wi_0.weight
|
1050 |
+
text_encoders.t5xxl.transformer.encoder.block.15.layer.1.DenseReluDense.wi_1.weight
|
1051 |
+
text_encoders.t5xxl.transformer.encoder.block.15.layer.1.DenseReluDense.wo.weight
|
1052 |
+
text_encoders.t5xxl.transformer.encoder.block.15.layer.1.layer_norm.weight
|
1053 |
+
text_encoders.t5xxl.transformer.encoder.block.16.layer.0.SelfAttention.k.weight
|
1054 |
+
text_encoders.t5xxl.transformer.encoder.block.16.layer.0.SelfAttention.o.weight
|
1055 |
+
text_encoders.t5xxl.transformer.encoder.block.16.layer.0.SelfAttention.q.weight
|
1056 |
+
text_encoders.t5xxl.transformer.encoder.block.16.layer.0.SelfAttention.v.weight
|
1057 |
+
text_encoders.t5xxl.transformer.encoder.block.16.layer.0.layer_norm.weight
|
1058 |
+
text_encoders.t5xxl.transformer.encoder.block.16.layer.1.DenseReluDense.wi_0.weight
|
1059 |
+
text_encoders.t5xxl.transformer.encoder.block.16.layer.1.DenseReluDense.wi_1.weight
|
1060 |
+
text_encoders.t5xxl.transformer.encoder.block.16.layer.1.DenseReluDense.wo.weight
|
1061 |
+
text_encoders.t5xxl.transformer.encoder.block.16.layer.1.layer_norm.weight
|
1062 |
+
text_encoders.t5xxl.transformer.encoder.block.17.layer.0.SelfAttention.k.weight
|
1063 |
+
text_encoders.t5xxl.transformer.encoder.block.17.layer.0.SelfAttention.o.weight
|
1064 |
+
text_encoders.t5xxl.transformer.encoder.block.17.layer.0.SelfAttention.q.weight
|
1065 |
+
text_encoders.t5xxl.transformer.encoder.block.17.layer.0.SelfAttention.v.weight
|
1066 |
+
text_encoders.t5xxl.transformer.encoder.block.17.layer.0.layer_norm.weight
|
1067 |
+
text_encoders.t5xxl.transformer.encoder.block.17.layer.1.DenseReluDense.wi_0.weight
|
1068 |
+
text_encoders.t5xxl.transformer.encoder.block.17.layer.1.DenseReluDense.wi_1.weight
|
1069 |
+
text_encoders.t5xxl.transformer.encoder.block.17.layer.1.DenseReluDense.wo.weight
|
1070 |
+
text_encoders.t5xxl.transformer.encoder.block.17.layer.1.layer_norm.weight
|
1071 |
+
text_encoders.t5xxl.transformer.encoder.block.18.layer.0.SelfAttention.k.weight
|
1072 |
+
text_encoders.t5xxl.transformer.encoder.block.18.layer.0.SelfAttention.o.weight
|
1073 |
+
text_encoders.t5xxl.transformer.encoder.block.18.layer.0.SelfAttention.q.weight
|
1074 |
+
text_encoders.t5xxl.transformer.encoder.block.18.layer.0.SelfAttention.v.weight
|
1075 |
+
text_encoders.t5xxl.transformer.encoder.block.18.layer.0.layer_norm.weight
|
1076 |
+
text_encoders.t5xxl.transformer.encoder.block.18.layer.1.DenseReluDense.wi_0.weight
|
1077 |
+
text_encoders.t5xxl.transformer.encoder.block.18.layer.1.DenseReluDense.wi_1.weight
|
1078 |
+
text_encoders.t5xxl.transformer.encoder.block.18.layer.1.DenseReluDense.wo.weight
|
1079 |
+
text_encoders.t5xxl.transformer.encoder.block.18.layer.1.layer_norm.weight
|
1080 |
+
text_encoders.t5xxl.transformer.encoder.block.19.layer.0.SelfAttention.k.weight
|
1081 |
+
text_encoders.t5xxl.transformer.encoder.block.19.layer.0.SelfAttention.o.weight
|
1082 |
+
text_encoders.t5xxl.transformer.encoder.block.19.layer.0.SelfAttention.q.weight
|
1083 |
+
text_encoders.t5xxl.transformer.encoder.block.19.layer.0.SelfAttention.v.weight
|
1084 |
+
text_encoders.t5xxl.transformer.encoder.block.19.layer.0.layer_norm.weight
|
1085 |
+
text_encoders.t5xxl.transformer.encoder.block.19.layer.1.DenseReluDense.wi_0.weight
|
1086 |
+
text_encoders.t5xxl.transformer.encoder.block.19.layer.1.DenseReluDense.wi_1.weight
|
1087 |
+
text_encoders.t5xxl.transformer.encoder.block.19.layer.1.DenseReluDense.wo.weight
|
1088 |
+
text_encoders.t5xxl.transformer.encoder.block.19.layer.1.layer_norm.weight
|
1089 |
+
text_encoders.t5xxl.transformer.encoder.block.2.layer.0.SelfAttention.k.weight
|
1090 |
+
text_encoders.t5xxl.transformer.encoder.block.2.layer.0.SelfAttention.o.weight
|
1091 |
+
text_encoders.t5xxl.transformer.encoder.block.2.layer.0.SelfAttention.q.weight
|
1092 |
+
text_encoders.t5xxl.transformer.encoder.block.2.layer.0.SelfAttention.v.weight
|
1093 |
+
text_encoders.t5xxl.transformer.encoder.block.2.layer.0.layer_norm.weight
|
1094 |
+
text_encoders.t5xxl.transformer.encoder.block.2.layer.1.DenseReluDense.wi_0.weight
|
1095 |
+
text_encoders.t5xxl.transformer.encoder.block.2.layer.1.DenseReluDense.wi_1.weight
|
1096 |
+
text_encoders.t5xxl.transformer.encoder.block.2.layer.1.DenseReluDense.wo.weight
|
1097 |
+
text_encoders.t5xxl.transformer.encoder.block.2.layer.1.layer_norm.weight
|
1098 |
+
text_encoders.t5xxl.transformer.encoder.block.20.layer.0.SelfAttention.k.weight
|
1099 |
+
text_encoders.t5xxl.transformer.encoder.block.20.layer.0.SelfAttention.o.weight
|
1100 |
+
text_encoders.t5xxl.transformer.encoder.block.20.layer.0.SelfAttention.q.weight
|
1101 |
+
text_encoders.t5xxl.transformer.encoder.block.20.layer.0.SelfAttention.v.weight
|
1102 |
+
text_encoders.t5xxl.transformer.encoder.block.20.layer.0.layer_norm.weight
|
1103 |
+
text_encoders.t5xxl.transformer.encoder.block.20.layer.1.DenseReluDense.wi_0.weight
|
1104 |
+
text_encoders.t5xxl.transformer.encoder.block.20.layer.1.DenseReluDense.wi_1.weight
|
1105 |
+
text_encoders.t5xxl.transformer.encoder.block.20.layer.1.DenseReluDense.wo.weight
|
1106 |
+
text_encoders.t5xxl.transformer.encoder.block.20.layer.1.layer_norm.weight
|
1107 |
+
text_encoders.t5xxl.transformer.encoder.block.21.layer.0.SelfAttention.k.weight
|
1108 |
+
text_encoders.t5xxl.transformer.encoder.block.21.layer.0.SelfAttention.o.weight
|
1109 |
+
text_encoders.t5xxl.transformer.encoder.block.21.layer.0.SelfAttention.q.weight
|
1110 |
+
text_encoders.t5xxl.transformer.encoder.block.21.layer.0.SelfAttention.v.weight
|
1111 |
+
text_encoders.t5xxl.transformer.encoder.block.21.layer.0.layer_norm.weight
|
1112 |
+
text_encoders.t5xxl.transformer.encoder.block.21.layer.1.DenseReluDense.wi_0.weight
|
1113 |
+
text_encoders.t5xxl.transformer.encoder.block.21.layer.1.DenseReluDense.wi_1.weight
|
1114 |
+
text_encoders.t5xxl.transformer.encoder.block.21.layer.1.DenseReluDense.wo.weight
|
1115 |
+
text_encoders.t5xxl.transformer.encoder.block.21.layer.1.layer_norm.weight
|
1116 |
+
text_encoders.t5xxl.transformer.encoder.block.22.layer.0.SelfAttention.k.weight
|
1117 |
+
text_encoders.t5xxl.transformer.encoder.block.22.layer.0.SelfAttention.o.weight
|
1118 |
+
text_encoders.t5xxl.transformer.encoder.block.22.layer.0.SelfAttention.q.weight
|
1119 |
+
text_encoders.t5xxl.transformer.encoder.block.22.layer.0.SelfAttention.v.weight
|
1120 |
+
text_encoders.t5xxl.transformer.encoder.block.22.layer.0.layer_norm.weight
|
1121 |
+
text_encoders.t5xxl.transformer.encoder.block.22.layer.1.DenseReluDense.wi_0.weight
|
1122 |
+
text_encoders.t5xxl.transformer.encoder.block.22.layer.1.DenseReluDense.wi_1.weight
|
1123 |
+
text_encoders.t5xxl.transformer.encoder.block.22.layer.1.DenseReluDense.wo.weight
|
1124 |
+
text_encoders.t5xxl.transformer.encoder.block.22.layer.1.layer_norm.weight
|
1125 |
+
text_encoders.t5xxl.transformer.encoder.block.23.layer.0.SelfAttention.k.weight
|
1126 |
+
text_encoders.t5xxl.transformer.encoder.block.23.layer.0.SelfAttention.o.weight
|
1127 |
+
text_encoders.t5xxl.transformer.encoder.block.23.layer.0.SelfAttention.q.weight
|
1128 |
+
text_encoders.t5xxl.transformer.encoder.block.23.layer.0.SelfAttention.v.weight
|
1129 |
+
text_encoders.t5xxl.transformer.encoder.block.23.layer.0.layer_norm.weight
|
1130 |
+
text_encoders.t5xxl.transformer.encoder.block.23.layer.1.DenseReluDense.wi_0.weight
|
1131 |
+
text_encoders.t5xxl.transformer.encoder.block.23.layer.1.DenseReluDense.wi_1.weight
|
1132 |
+
text_encoders.t5xxl.transformer.encoder.block.23.layer.1.DenseReluDense.wo.weight
|
1133 |
+
text_encoders.t5xxl.transformer.encoder.block.23.layer.1.layer_norm.weight
|
1134 |
+
text_encoders.t5xxl.transformer.encoder.block.3.layer.0.SelfAttention.k.weight
|
1135 |
+
text_encoders.t5xxl.transformer.encoder.block.3.layer.0.SelfAttention.o.weight
|
1136 |
+
text_encoders.t5xxl.transformer.encoder.block.3.layer.0.SelfAttention.q.weight
|
1137 |
+
text_encoders.t5xxl.transformer.encoder.block.3.layer.0.SelfAttention.v.weight
|
1138 |
+
text_encoders.t5xxl.transformer.encoder.block.3.layer.0.layer_norm.weight
|
1139 |
+
text_encoders.t5xxl.transformer.encoder.block.3.layer.1.DenseReluDense.wi_0.weight
|
1140 |
+
text_encoders.t5xxl.transformer.encoder.block.3.layer.1.DenseReluDense.wi_1.weight
|
1141 |
+
text_encoders.t5xxl.transformer.encoder.block.3.layer.1.DenseReluDense.wo.weight
|
1142 |
+
text_encoders.t5xxl.transformer.encoder.block.3.layer.1.layer_norm.weight
|
1143 |
+
text_encoders.t5xxl.transformer.encoder.block.4.layer.0.SelfAttention.k.weight
|
1144 |
+
text_encoders.t5xxl.transformer.encoder.block.4.layer.0.SelfAttention.o.weight
|
1145 |
+
text_encoders.t5xxl.transformer.encoder.block.4.layer.0.SelfAttention.q.weight
|
1146 |
+
text_encoders.t5xxl.transformer.encoder.block.4.layer.0.SelfAttention.v.weight
|
1147 |
+
text_encoders.t5xxl.transformer.encoder.block.4.layer.0.layer_norm.weight
|
1148 |
+
text_encoders.t5xxl.transformer.encoder.block.4.layer.1.DenseReluDense.wi_0.weight
|
1149 |
+
text_encoders.t5xxl.transformer.encoder.block.4.layer.1.DenseReluDense.wi_1.weight
|
1150 |
+
text_encoders.t5xxl.transformer.encoder.block.4.layer.1.DenseReluDense.wo.weight
|
1151 |
+
text_encoders.t5xxl.transformer.encoder.block.4.layer.1.layer_norm.weight
|
1152 |
+
text_encoders.t5xxl.transformer.encoder.block.5.layer.0.SelfAttention.k.weight
|
1153 |
+
text_encoders.t5xxl.transformer.encoder.block.5.layer.0.SelfAttention.o.weight
|
1154 |
+
text_encoders.t5xxl.transformer.encoder.block.5.layer.0.SelfAttention.q.weight
|
1155 |
+
text_encoders.t5xxl.transformer.encoder.block.5.layer.0.SelfAttention.v.weight
|
1156 |
+
text_encoders.t5xxl.transformer.encoder.block.5.layer.0.layer_norm.weight
|
1157 |
+
text_encoders.t5xxl.transformer.encoder.block.5.layer.1.DenseReluDense.wi_0.weight
|
1158 |
+
text_encoders.t5xxl.transformer.encoder.block.5.layer.1.DenseReluDense.wi_1.weight
|
1159 |
+
text_encoders.t5xxl.transformer.encoder.block.5.layer.1.DenseReluDense.wo.weight
|
1160 |
+
text_encoders.t5xxl.transformer.encoder.block.5.layer.1.layer_norm.weight
|
1161 |
+
text_encoders.t5xxl.transformer.encoder.block.6.layer.0.SelfAttention.k.weight
|
1162 |
+
text_encoders.t5xxl.transformer.encoder.block.6.layer.0.SelfAttention.o.weight
|
1163 |
+
text_encoders.t5xxl.transformer.encoder.block.6.layer.0.SelfAttention.q.weight
|
1164 |
+
text_encoders.t5xxl.transformer.encoder.block.6.layer.0.SelfAttention.v.weight
|
1165 |
+
text_encoders.t5xxl.transformer.encoder.block.6.layer.0.layer_norm.weight
|
1166 |
+
text_encoders.t5xxl.transformer.encoder.block.6.layer.1.DenseReluDense.wi_0.weight
|
1167 |
+
text_encoders.t5xxl.transformer.encoder.block.6.layer.1.DenseReluDense.wi_1.weight
|
1168 |
+
text_encoders.t5xxl.transformer.encoder.block.6.layer.1.DenseReluDense.wo.weight
|
1169 |
+
text_encoders.t5xxl.transformer.encoder.block.6.layer.1.layer_norm.weight
|
1170 |
+
text_encoders.t5xxl.transformer.encoder.block.7.layer.0.SelfAttention.k.weight
|
1171 |
+
text_encoders.t5xxl.transformer.encoder.block.7.layer.0.SelfAttention.o.weight
|
1172 |
+
text_encoders.t5xxl.transformer.encoder.block.7.layer.0.SelfAttention.q.weight
|
1173 |
+
text_encoders.t5xxl.transformer.encoder.block.7.layer.0.SelfAttention.v.weight
|
1174 |
+
text_encoders.t5xxl.transformer.encoder.block.7.layer.0.layer_norm.weight
|
1175 |
+
text_encoders.t5xxl.transformer.encoder.block.7.layer.1.DenseReluDense.wi_0.weight
|
1176 |
+
text_encoders.t5xxl.transformer.encoder.block.7.layer.1.DenseReluDense.wi_1.weight
|
1177 |
+
text_encoders.t5xxl.transformer.encoder.block.7.layer.1.DenseReluDense.wo.weight
|
1178 |
+
text_encoders.t5xxl.transformer.encoder.block.7.layer.1.layer_norm.weight
|
1179 |
+
text_encoders.t5xxl.transformer.encoder.block.8.layer.0.SelfAttention.k.weight
|
1180 |
+
text_encoders.t5xxl.transformer.encoder.block.8.layer.0.SelfAttention.o.weight
|
1181 |
+
text_encoders.t5xxl.transformer.encoder.block.8.layer.0.SelfAttention.q.weight
|
1182 |
+
text_encoders.t5xxl.transformer.encoder.block.8.layer.0.SelfAttention.v.weight
|
1183 |
+
text_encoders.t5xxl.transformer.encoder.block.8.layer.0.layer_norm.weight
|
1184 |
+
text_encoders.t5xxl.transformer.encoder.block.8.layer.1.DenseReluDense.wi_0.weight
|
1185 |
+
text_encoders.t5xxl.transformer.encoder.block.8.layer.1.DenseReluDense.wi_1.weight
|
1186 |
+
text_encoders.t5xxl.transformer.encoder.block.8.layer.1.DenseReluDense.wo.weight
|
1187 |
+
text_encoders.t5xxl.transformer.encoder.block.8.layer.1.layer_norm.weight
|
1188 |
+
text_encoders.t5xxl.transformer.encoder.block.9.layer.0.SelfAttention.k.weight
|
1189 |
+
text_encoders.t5xxl.transformer.encoder.block.9.layer.0.SelfAttention.o.weight
|
1190 |
+
text_encoders.t5xxl.transformer.encoder.block.9.layer.0.SelfAttention.q.weight
|
1191 |
+
text_encoders.t5xxl.transformer.encoder.block.9.layer.0.SelfAttention.v.weight
|
1192 |
+
text_encoders.t5xxl.transformer.encoder.block.9.layer.0.layer_norm.weight
|
1193 |
+
text_encoders.t5xxl.transformer.encoder.block.9.layer.1.DenseReluDense.wi_0.weight
|
1194 |
+
text_encoders.t5xxl.transformer.encoder.block.9.layer.1.DenseReluDense.wi_1.weight
|
1195 |
+
text_encoders.t5xxl.transformer.encoder.block.9.layer.1.DenseReluDense.wo.weight
|
1196 |
+
text_encoders.t5xxl.transformer.encoder.block.9.layer.1.layer_norm.weight
|
1197 |
+
text_encoders.t5xxl.transformer.encoder.final_layer_norm.weight
|
1198 |
+
text_encoders.t5xxl.transformer.shared.weight
|
1199 |
+
vae.decoder.conv_in.bias
|
1200 |
+
vae.decoder.conv_in.weight
|
1201 |
+
vae.decoder.conv_out.bias
|
1202 |
+
vae.decoder.conv_out.weight
|
1203 |
+
vae.decoder.mid.attn_1.k.bias
|
1204 |
+
vae.decoder.mid.attn_1.k.weight
|
1205 |
+
vae.decoder.mid.attn_1.norm.bias
|
1206 |
+
vae.decoder.mid.attn_1.norm.weight
|
1207 |
+
vae.decoder.mid.attn_1.proj_out.bias
|
1208 |
+
vae.decoder.mid.attn_1.proj_out.weight
|
1209 |
+
vae.decoder.mid.attn_1.q.bias
|
1210 |
+
vae.decoder.mid.attn_1.q.weight
|
1211 |
+
vae.decoder.mid.attn_1.v.bias
|
1212 |
+
vae.decoder.mid.attn_1.v.weight
|
1213 |
+
vae.decoder.mid.block_1.conv1.bias
|
1214 |
+
vae.decoder.mid.block_1.conv1.weight
|
1215 |
+
vae.decoder.mid.block_1.conv2.bias
|
1216 |
+
vae.decoder.mid.block_1.conv2.weight
|
1217 |
+
vae.decoder.mid.block_1.norm1.bias
|
1218 |
+
vae.decoder.mid.block_1.norm1.weight
|
1219 |
+
vae.decoder.mid.block_1.norm2.bias
|
1220 |
+
vae.decoder.mid.block_1.norm2.weight
|
1221 |
+
vae.decoder.mid.block_2.conv1.bias
|
1222 |
+
vae.decoder.mid.block_2.conv1.weight
|
1223 |
+
vae.decoder.mid.block_2.conv2.bias
|
1224 |
+
vae.decoder.mid.block_2.conv2.weight
|
1225 |
+
vae.decoder.mid.block_2.norm1.bias
|
1226 |
+
vae.decoder.mid.block_2.norm1.weight
|
1227 |
+
vae.decoder.mid.block_2.norm2.bias
|
1228 |
+
vae.decoder.mid.block_2.norm2.weight
|
1229 |
+
vae.decoder.norm_out.bias
|
1230 |
+
vae.decoder.norm_out.weight
|
1231 |
+
vae.decoder.up.0.block.0.conv1.bias
|
1232 |
+
vae.decoder.up.0.block.0.conv1.weight
|
1233 |
+
vae.decoder.up.0.block.0.conv2.bias
|
1234 |
+
vae.decoder.up.0.block.0.conv2.weight
|
1235 |
+
vae.decoder.up.0.block.0.nin_shortcut.bias
|
1236 |
+
vae.decoder.up.0.block.0.nin_shortcut.weight
|
1237 |
+
vae.decoder.up.0.block.0.norm1.bias
|
1238 |
+
vae.decoder.up.0.block.0.norm1.weight
|
1239 |
+
vae.decoder.up.0.block.0.norm2.bias
|
1240 |
+
vae.decoder.up.0.block.0.norm2.weight
|
1241 |
+
vae.decoder.up.0.block.1.conv1.bias
|
1242 |
+
vae.decoder.up.0.block.1.conv1.weight
|
1243 |
+
vae.decoder.up.0.block.1.conv2.bias
|
1244 |
+
vae.decoder.up.0.block.1.conv2.weight
|
1245 |
+
vae.decoder.up.0.block.1.norm1.bias
|
1246 |
+
vae.decoder.up.0.block.1.norm1.weight
|
1247 |
+
vae.decoder.up.0.block.1.norm2.bias
|
1248 |
+
vae.decoder.up.0.block.1.norm2.weight
|
1249 |
+
vae.decoder.up.0.block.2.conv1.bias
|
1250 |
+
vae.decoder.up.0.block.2.conv1.weight
|
1251 |
+
vae.decoder.up.0.block.2.conv2.bias
|
1252 |
+
vae.decoder.up.0.block.2.conv2.weight
|
1253 |
+
vae.decoder.up.0.block.2.norm1.bias
|
1254 |
+
vae.decoder.up.0.block.2.norm1.weight
|
1255 |
+
vae.decoder.up.0.block.2.norm2.bias
|
1256 |
+
vae.decoder.up.0.block.2.norm2.weight
|
1257 |
+
vae.decoder.up.1.block.0.conv1.bias
|
1258 |
+
vae.decoder.up.1.block.0.conv1.weight
|
1259 |
+
vae.decoder.up.1.block.0.conv2.bias
|
1260 |
+
vae.decoder.up.1.block.0.conv2.weight
|
1261 |
+
vae.decoder.up.1.block.0.nin_shortcut.bias
|
1262 |
+
vae.decoder.up.1.block.0.nin_shortcut.weight
|
1263 |
+
vae.decoder.up.1.block.0.norm1.bias
|
1264 |
+
vae.decoder.up.1.block.0.norm1.weight
|
1265 |
+
vae.decoder.up.1.block.0.norm2.bias
|
1266 |
+
vae.decoder.up.1.block.0.norm2.weight
|
1267 |
+
vae.decoder.up.1.block.1.conv1.bias
|
1268 |
+
vae.decoder.up.1.block.1.conv1.weight
|
1269 |
+
vae.decoder.up.1.block.1.conv2.bias
|
1270 |
+
vae.decoder.up.1.block.1.conv2.weight
|
1271 |
+
vae.decoder.up.1.block.1.norm1.bias
|
1272 |
+
vae.decoder.up.1.block.1.norm1.weight
|
1273 |
+
vae.decoder.up.1.block.1.norm2.bias
|
1274 |
+
vae.decoder.up.1.block.1.norm2.weight
|
1275 |
+
vae.decoder.up.1.block.2.conv1.bias
|
1276 |
+
vae.decoder.up.1.block.2.conv1.weight
|
1277 |
+
vae.decoder.up.1.block.2.conv2.bias
|
1278 |
+
vae.decoder.up.1.block.2.conv2.weight
|
1279 |
+
vae.decoder.up.1.block.2.norm1.bias
|
1280 |
+
vae.decoder.up.1.block.2.norm1.weight
|
1281 |
+
vae.decoder.up.1.block.2.norm2.bias
|
1282 |
+
vae.decoder.up.1.block.2.norm2.weight
|
1283 |
+
vae.decoder.up.1.upsample.conv.bias
|
1284 |
+
vae.decoder.up.1.upsample.conv.weight
|
1285 |
+
vae.decoder.up.2.block.0.conv1.bias
|
1286 |
+
vae.decoder.up.2.block.0.conv1.weight
|
1287 |
+
vae.decoder.up.2.block.0.conv2.bias
|
1288 |
+
vae.decoder.up.2.block.0.conv2.weight
|
1289 |
+
vae.decoder.up.2.block.0.norm1.bias
|
1290 |
+
vae.decoder.up.2.block.0.norm1.weight
|
1291 |
+
vae.decoder.up.2.block.0.norm2.bias
|
1292 |
+
vae.decoder.up.2.block.0.norm2.weight
|
1293 |
+
vae.decoder.up.2.block.1.conv1.bias
|
1294 |
+
vae.decoder.up.2.block.1.conv1.weight
|
1295 |
+
vae.decoder.up.2.block.1.conv2.bias
|
1296 |
+
vae.decoder.up.2.block.1.conv2.weight
|
1297 |
+
vae.decoder.up.2.block.1.norm1.bias
|
1298 |
+
vae.decoder.up.2.block.1.norm1.weight
|
1299 |
+
vae.decoder.up.2.block.1.norm2.bias
|
1300 |
+
vae.decoder.up.2.block.1.norm2.weight
|
1301 |
+
vae.decoder.up.2.block.2.conv1.bias
|
1302 |
+
vae.decoder.up.2.block.2.conv1.weight
|
1303 |
+
vae.decoder.up.2.block.2.conv2.bias
|
1304 |
+
vae.decoder.up.2.block.2.conv2.weight
|
1305 |
+
vae.decoder.up.2.block.2.norm1.bias
|
1306 |
+
vae.decoder.up.2.block.2.norm1.weight
|
1307 |
+
vae.decoder.up.2.block.2.norm2.bias
|
1308 |
+
vae.decoder.up.2.block.2.norm2.weight
|
1309 |
+
vae.decoder.up.2.upsample.conv.bias
|
1310 |
+
vae.decoder.up.2.upsample.conv.weight
|
1311 |
+
vae.decoder.up.3.block.0.conv1.bias
|
1312 |
+
vae.decoder.up.3.block.0.conv1.weight
|
1313 |
+
vae.decoder.up.3.block.0.conv2.bias
|
1314 |
+
vae.decoder.up.3.block.0.conv2.weight
|
1315 |
+
vae.decoder.up.3.block.0.norm1.bias
|
1316 |
+
vae.decoder.up.3.block.0.norm1.weight
|
1317 |
+
vae.decoder.up.3.block.0.norm2.bias
|
1318 |
+
vae.decoder.up.3.block.0.norm2.weight
|
1319 |
+
vae.decoder.up.3.block.1.conv1.bias
|
1320 |
+
vae.decoder.up.3.block.1.conv1.weight
|
1321 |
+
vae.decoder.up.3.block.1.conv2.bias
|
1322 |
+
vae.decoder.up.3.block.1.conv2.weight
|
1323 |
+
vae.decoder.up.3.block.1.norm1.bias
|
1324 |
+
vae.decoder.up.3.block.1.norm1.weight
|
1325 |
+
vae.decoder.up.3.block.1.norm2.bias
|
1326 |
+
vae.decoder.up.3.block.1.norm2.weight
|
1327 |
+
vae.decoder.up.3.block.2.conv1.bias
|
1328 |
+
vae.decoder.up.3.block.2.conv1.weight
|
1329 |
+
vae.decoder.up.3.block.2.conv2.bias
|
1330 |
+
vae.decoder.up.3.block.2.conv2.weight
|
1331 |
+
vae.decoder.up.3.block.2.norm1.bias
|
1332 |
+
vae.decoder.up.3.block.2.norm1.weight
|
1333 |
+
vae.decoder.up.3.block.2.norm2.bias
|
1334 |
+
vae.decoder.up.3.block.2.norm2.weight
|
1335 |
+
vae.decoder.up.3.upsample.conv.bias
|
1336 |
+
vae.decoder.up.3.upsample.conv.weight
|
1337 |
+
vae.encoder.conv_in.bias
|
1338 |
+
vae.encoder.conv_in.weight
|
1339 |
+
vae.encoder.conv_out.bias
|
1340 |
+
vae.encoder.conv_out.weight
|
1341 |
+
vae.encoder.down.0.block.0.conv1.bias
|
1342 |
+
vae.encoder.down.0.block.0.conv1.weight
|
1343 |
+
vae.encoder.down.0.block.0.conv2.bias
|
1344 |
+
vae.encoder.down.0.block.0.conv2.weight
|
1345 |
+
vae.encoder.down.0.block.0.norm1.bias
|
1346 |
+
vae.encoder.down.0.block.0.norm1.weight
|
1347 |
+
vae.encoder.down.0.block.0.norm2.bias
|
1348 |
+
vae.encoder.down.0.block.0.norm2.weight
|
1349 |
+
vae.encoder.down.0.block.1.conv1.bias
|
1350 |
+
vae.encoder.down.0.block.1.conv1.weight
|
1351 |
+
vae.encoder.down.0.block.1.conv2.bias
|
1352 |
+
vae.encoder.down.0.block.1.conv2.weight
|
1353 |
+
vae.encoder.down.0.block.1.norm1.bias
|
1354 |
+
vae.encoder.down.0.block.1.norm1.weight
|
1355 |
+
vae.encoder.down.0.block.1.norm2.bias
|
1356 |
+
vae.encoder.down.0.block.1.norm2.weight
|
1357 |
+
vae.encoder.down.0.downsample.conv.bias
|
1358 |
+
vae.encoder.down.0.downsample.conv.weight
|
1359 |
+
vae.encoder.down.1.block.0.conv1.bias
|
1360 |
+
vae.encoder.down.1.block.0.conv1.weight
|
1361 |
+
vae.encoder.down.1.block.0.conv2.bias
|
1362 |
+
vae.encoder.down.1.block.0.conv2.weight
|
1363 |
+
vae.encoder.down.1.block.0.nin_shortcut.bias
|
1364 |
+
vae.encoder.down.1.block.0.nin_shortcut.weight
|
1365 |
+
vae.encoder.down.1.block.0.norm1.bias
|
1366 |
+
vae.encoder.down.1.block.0.norm1.weight
|
1367 |
+
vae.encoder.down.1.block.0.norm2.bias
|
1368 |
+
vae.encoder.down.1.block.0.norm2.weight
|
1369 |
+
vae.encoder.down.1.block.1.conv1.bias
|
1370 |
+
vae.encoder.down.1.block.1.conv1.weight
|
1371 |
+
vae.encoder.down.1.block.1.conv2.bias
|
1372 |
+
vae.encoder.down.1.block.1.conv2.weight
|
1373 |
+
vae.encoder.down.1.block.1.norm1.bias
|
1374 |
+
vae.encoder.down.1.block.1.norm1.weight
|
1375 |
+
vae.encoder.down.1.block.1.norm2.bias
|
1376 |
+
vae.encoder.down.1.block.1.norm2.weight
|
1377 |
+
vae.encoder.down.1.downsample.conv.bias
|
1378 |
+
vae.encoder.down.1.downsample.conv.weight
|
1379 |
+
vae.encoder.down.2.block.0.conv1.bias
|
1380 |
+
vae.encoder.down.2.block.0.conv1.weight
|
1381 |
+
vae.encoder.down.2.block.0.conv2.bias
|
1382 |
+
vae.encoder.down.2.block.0.conv2.weight
|
1383 |
+
vae.encoder.down.2.block.0.nin_shortcut.bias
|
1384 |
+
vae.encoder.down.2.block.0.nin_shortcut.weight
|
1385 |
+
vae.encoder.down.2.block.0.norm1.bias
|
1386 |
+
vae.encoder.down.2.block.0.norm1.weight
|
1387 |
+
vae.encoder.down.2.block.0.norm2.bias
|
1388 |
+
vae.encoder.down.2.block.0.norm2.weight
|
1389 |
+
vae.encoder.down.2.block.1.conv1.bias
|
1390 |
+
vae.encoder.down.2.block.1.conv1.weight
|
1391 |
+
vae.encoder.down.2.block.1.conv2.bias
|
1392 |
+
vae.encoder.down.2.block.1.conv2.weight
|
1393 |
+
vae.encoder.down.2.block.1.norm1.bias
|
1394 |
+
vae.encoder.down.2.block.1.norm1.weight
|
1395 |
+
vae.encoder.down.2.block.1.norm2.bias
|
1396 |
+
vae.encoder.down.2.block.1.norm2.weight
|
1397 |
+
vae.encoder.down.2.downsample.conv.bias
|
1398 |
+
vae.encoder.down.2.downsample.conv.weight
|
1399 |
+
vae.encoder.down.3.block.0.conv1.bias
|
1400 |
+
vae.encoder.down.3.block.0.conv1.weight
|
1401 |
+
vae.encoder.down.3.block.0.conv2.bias
|
1402 |
+
vae.encoder.down.3.block.0.conv2.weight
|
1403 |
+
vae.encoder.down.3.block.0.norm1.bias
|
1404 |
+
vae.encoder.down.3.block.0.norm1.weight
|
1405 |
+
vae.encoder.down.3.block.0.norm2.bias
|
1406 |
+
vae.encoder.down.3.block.0.norm2.weight
|
1407 |
+
vae.encoder.down.3.block.1.conv1.bias
|
1408 |
+
vae.encoder.down.3.block.1.conv1.weight
|
1409 |
+
vae.encoder.down.3.block.1.conv2.bias
|
1410 |
+
vae.encoder.down.3.block.1.conv2.weight
|
1411 |
+
vae.encoder.down.3.block.1.norm1.bias
|
1412 |
+
vae.encoder.down.3.block.1.norm1.weight
|
1413 |
+
vae.encoder.down.3.block.1.norm2.bias
|
1414 |
+
vae.encoder.down.3.block.1.norm2.weight
|
1415 |
+
vae.encoder.mid.attn_1.k.bias
|
1416 |
+
vae.encoder.mid.attn_1.k.weight
|
1417 |
+
vae.encoder.mid.attn_1.norm.bias
|
1418 |
+
vae.encoder.mid.attn_1.norm.weight
|
1419 |
+
vae.encoder.mid.attn_1.proj_out.bias
|
1420 |
+
vae.encoder.mid.attn_1.proj_out.weight
|
1421 |
+
vae.encoder.mid.attn_1.q.bias
|
1422 |
+
vae.encoder.mid.attn_1.q.weight
|
1423 |
+
vae.encoder.mid.attn_1.v.bias
|
1424 |
+
vae.encoder.mid.attn_1.v.weight
|
1425 |
+
vae.encoder.mid.block_1.conv1.bias
|
1426 |
+
vae.encoder.mid.block_1.conv1.weight
|
1427 |
+
vae.encoder.mid.block_1.conv2.bias
|
1428 |
+
vae.encoder.mid.block_1.conv2.weight
|
1429 |
+
vae.encoder.mid.block_1.norm1.bias
|
1430 |
+
vae.encoder.mid.block_1.norm1.weight
|
1431 |
+
vae.encoder.mid.block_1.norm2.bias
|
1432 |
+
vae.encoder.mid.block_1.norm2.weight
|
1433 |
+
vae.encoder.mid.block_2.conv1.bias
|
1434 |
+
vae.encoder.mid.block_2.conv1.weight
|
1435 |
+
vae.encoder.mid.block_2.conv2.bias
|
1436 |
+
vae.encoder.mid.block_2.conv2.weight
|
1437 |
+
vae.encoder.mid.block_2.norm1.bias
|
1438 |
+
vae.encoder.mid.block_2.norm1.weight
|
1439 |
+
vae.encoder.mid.block_2.norm2.bias
|
1440 |
+
vae.encoder.mid.block_2.norm2.weight
|
1441 |
+
vae.encoder.norm_out.bias
|
1442 |
+
vae.encoder.norm_out.weight
|
keys/flux1dev_comfyui_transformer_keys.txt
ADDED
@@ -0,0 +1,780 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
double_blocks.0.img_attn.norm.key_norm.scale
|
2 |
+
double_blocks.0.img_attn.norm.query_norm.scale
|
3 |
+
double_blocks.0.img_attn.proj.bias
|
4 |
+
double_blocks.0.img_attn.proj.weight
|
5 |
+
double_blocks.0.img_attn.qkv.bias
|
6 |
+
double_blocks.0.img_attn.qkv.weight
|
7 |
+
double_blocks.0.img_mlp.0.bias
|
8 |
+
double_blocks.0.img_mlp.0.weight
|
9 |
+
double_blocks.0.img_mlp.2.bias
|
10 |
+
double_blocks.0.img_mlp.2.weight
|
11 |
+
double_blocks.0.img_mod.lin.bias
|
12 |
+
double_blocks.0.img_mod.lin.weight
|
13 |
+
double_blocks.0.txt_attn.norm.key_norm.scale
|
14 |
+
double_blocks.0.txt_attn.norm.query_norm.scale
|
15 |
+
double_blocks.0.txt_attn.proj.bias
|
16 |
+
double_blocks.0.txt_attn.proj.weight
|
17 |
+
double_blocks.0.txt_attn.qkv.bias
|
18 |
+
double_blocks.0.txt_attn.qkv.weight
|
19 |
+
double_blocks.0.txt_mlp.0.bias
|
20 |
+
double_blocks.0.txt_mlp.0.weight
|
21 |
+
double_blocks.0.txt_mlp.2.bias
|
22 |
+
double_blocks.0.txt_mlp.2.weight
|
23 |
+
double_blocks.0.txt_mod.lin.bias
|
24 |
+
double_blocks.0.txt_mod.lin.weight
|
25 |
+
double_blocks.1.img_attn.norm.key_norm.scale
|
26 |
+
double_blocks.1.img_attn.norm.query_norm.scale
|
27 |
+
double_blocks.1.img_attn.proj.bias
|
28 |
+
double_blocks.1.img_attn.proj.weight
|
29 |
+
double_blocks.1.img_attn.qkv.bias
|
30 |
+
double_blocks.1.img_attn.qkv.weight
|
31 |
+
double_blocks.1.img_mlp.0.bias
|
32 |
+
double_blocks.1.img_mlp.0.weight
|
33 |
+
double_blocks.1.img_mlp.2.bias
|
34 |
+
double_blocks.1.img_mlp.2.weight
|
35 |
+
double_blocks.1.img_mod.lin.bias
|
36 |
+
double_blocks.1.img_mod.lin.weight
|
37 |
+
double_blocks.1.txt_attn.norm.key_norm.scale
|
38 |
+
double_blocks.1.txt_attn.norm.query_norm.scale
|
39 |
+
double_blocks.1.txt_attn.proj.bias
|
40 |
+
double_blocks.1.txt_attn.proj.weight
|
41 |
+
double_blocks.1.txt_attn.qkv.bias
|
42 |
+
double_blocks.1.txt_attn.qkv.weight
|
43 |
+
double_blocks.1.txt_mlp.0.bias
|
44 |
+
double_blocks.1.txt_mlp.0.weight
|
45 |
+
double_blocks.1.txt_mlp.2.bias
|
46 |
+
double_blocks.1.txt_mlp.2.weight
|
47 |
+
double_blocks.1.txt_mod.lin.bias
|
48 |
+
double_blocks.1.txt_mod.lin.weight
|
49 |
+
double_blocks.10.img_attn.norm.key_norm.scale
|
50 |
+
double_blocks.10.img_attn.norm.query_norm.scale
|
51 |
+
double_blocks.10.img_attn.proj.bias
|
52 |
+
double_blocks.10.img_attn.proj.weight
|
53 |
+
double_blocks.10.img_attn.qkv.bias
|
54 |
+
double_blocks.10.img_attn.qkv.weight
|
55 |
+
double_blocks.10.img_mlp.0.bias
|
56 |
+
double_blocks.10.img_mlp.0.weight
|
57 |
+
double_blocks.10.img_mlp.2.bias
|
58 |
+
double_blocks.10.img_mlp.2.weight
|
59 |
+
double_blocks.10.img_mod.lin.bias
|
60 |
+
double_blocks.10.img_mod.lin.weight
|
61 |
+
double_blocks.10.txt_attn.norm.key_norm.scale
|
62 |
+
double_blocks.10.txt_attn.norm.query_norm.scale
|
63 |
+
double_blocks.10.txt_attn.proj.bias
|
64 |
+
double_blocks.10.txt_attn.proj.weight
|
65 |
+
double_blocks.10.txt_attn.qkv.bias
|
66 |
+
double_blocks.10.txt_attn.qkv.weight
|
67 |
+
double_blocks.10.txt_mlp.0.bias
|
68 |
+
double_blocks.10.txt_mlp.0.weight
|
69 |
+
double_blocks.10.txt_mlp.2.bias
|
70 |
+
double_blocks.10.txt_mlp.2.weight
|
71 |
+
double_blocks.10.txt_mod.lin.bias
|
72 |
+
double_blocks.10.txt_mod.lin.weight
|
73 |
+
double_blocks.11.img_attn.norm.key_norm.scale
|
74 |
+
double_blocks.11.img_attn.norm.query_norm.scale
|
75 |
+
double_blocks.11.img_attn.proj.bias
|
76 |
+
double_blocks.11.img_attn.proj.weight
|
77 |
+
double_blocks.11.img_attn.qkv.bias
|
78 |
+
double_blocks.11.img_attn.qkv.weight
|
79 |
+
double_blocks.11.img_mlp.0.bias
|
80 |
+
double_blocks.11.img_mlp.0.weight
|
81 |
+
double_blocks.11.img_mlp.2.bias
|
82 |
+
double_blocks.11.img_mlp.2.weight
|
83 |
+
double_blocks.11.img_mod.lin.bias
|
84 |
+
double_blocks.11.img_mod.lin.weight
|
85 |
+
double_blocks.11.txt_attn.norm.key_norm.scale
|
86 |
+
double_blocks.11.txt_attn.norm.query_norm.scale
|
87 |
+
double_blocks.11.txt_attn.proj.bias
|
88 |
+
double_blocks.11.txt_attn.proj.weight
|
89 |
+
double_blocks.11.txt_attn.qkv.bias
|
90 |
+
double_blocks.11.txt_attn.qkv.weight
|
91 |
+
double_blocks.11.txt_mlp.0.bias
|
92 |
+
double_blocks.11.txt_mlp.0.weight
|
93 |
+
double_blocks.11.txt_mlp.2.bias
|
94 |
+
double_blocks.11.txt_mlp.2.weight
|
95 |
+
double_blocks.11.txt_mod.lin.bias
|
96 |
+
double_blocks.11.txt_mod.lin.weight
|
97 |
+
double_blocks.12.img_attn.norm.key_norm.scale
|
98 |
+
double_blocks.12.img_attn.norm.query_norm.scale
|
99 |
+
double_blocks.12.img_attn.proj.bias
|
100 |
+
double_blocks.12.img_attn.proj.weight
|
101 |
+
double_blocks.12.img_attn.qkv.bias
|
102 |
+
double_blocks.12.img_attn.qkv.weight
|
103 |
+
double_blocks.12.img_mlp.0.bias
|
104 |
+
double_blocks.12.img_mlp.0.weight
|
105 |
+
double_blocks.12.img_mlp.2.bias
|
106 |
+
double_blocks.12.img_mlp.2.weight
|
107 |
+
double_blocks.12.img_mod.lin.bias
|
108 |
+
double_blocks.12.img_mod.lin.weight
|
109 |
+
double_blocks.12.txt_attn.norm.key_norm.scale
|
110 |
+
double_blocks.12.txt_attn.norm.query_norm.scale
|
111 |
+
double_blocks.12.txt_attn.proj.bias
|
112 |
+
double_blocks.12.txt_attn.proj.weight
|
113 |
+
double_blocks.12.txt_attn.qkv.bias
|
114 |
+
double_blocks.12.txt_attn.qkv.weight
|
115 |
+
double_blocks.12.txt_mlp.0.bias
|
116 |
+
double_blocks.12.txt_mlp.0.weight
|
117 |
+
double_blocks.12.txt_mlp.2.bias
|
118 |
+
double_blocks.12.txt_mlp.2.weight
|
119 |
+
double_blocks.12.txt_mod.lin.bias
|
120 |
+
double_blocks.12.txt_mod.lin.weight
|
121 |
+
double_blocks.13.img_attn.norm.key_norm.scale
|
122 |
+
double_blocks.13.img_attn.norm.query_norm.scale
|
123 |
+
double_blocks.13.img_attn.proj.bias
|
124 |
+
double_blocks.13.img_attn.proj.weight
|
125 |
+
double_blocks.13.img_attn.qkv.bias
|
126 |
+
double_blocks.13.img_attn.qkv.weight
|
127 |
+
double_blocks.13.img_mlp.0.bias
|
128 |
+
double_blocks.13.img_mlp.0.weight
|
129 |
+
double_blocks.13.img_mlp.2.bias
|
130 |
+
double_blocks.13.img_mlp.2.weight
|
131 |
+
double_blocks.13.img_mod.lin.bias
|
132 |
+
double_blocks.13.img_mod.lin.weight
|
133 |
+
double_blocks.13.txt_attn.norm.key_norm.scale
|
134 |
+
double_blocks.13.txt_attn.norm.query_norm.scale
|
135 |
+
double_blocks.13.txt_attn.proj.bias
|
136 |
+
double_blocks.13.txt_attn.proj.weight
|
137 |
+
double_blocks.13.txt_attn.qkv.bias
|
138 |
+
double_blocks.13.txt_attn.qkv.weight
|
139 |
+
double_blocks.13.txt_mlp.0.bias
|
140 |
+
double_blocks.13.txt_mlp.0.weight
|
141 |
+
double_blocks.13.txt_mlp.2.bias
|
142 |
+
double_blocks.13.txt_mlp.2.weight
|
143 |
+
double_blocks.13.txt_mod.lin.bias
|
144 |
+
double_blocks.13.txt_mod.lin.weight
|
145 |
+
double_blocks.14.img_attn.norm.key_norm.scale
|
146 |
+
double_blocks.14.img_attn.norm.query_norm.scale
|
147 |
+
double_blocks.14.img_attn.proj.bias
|
148 |
+
double_blocks.14.img_attn.proj.weight
|
149 |
+
double_blocks.14.img_attn.qkv.bias
|
150 |
+
double_blocks.14.img_attn.qkv.weight
|
151 |
+
double_blocks.14.img_mlp.0.bias
|
152 |
+
double_blocks.14.img_mlp.0.weight
|
153 |
+
double_blocks.14.img_mlp.2.bias
|
154 |
+
double_blocks.14.img_mlp.2.weight
|
155 |
+
double_blocks.14.img_mod.lin.bias
|
156 |
+
double_blocks.14.img_mod.lin.weight
|
157 |
+
double_blocks.14.txt_attn.norm.key_norm.scale
|
158 |
+
double_blocks.14.txt_attn.norm.query_norm.scale
|
159 |
+
double_blocks.14.txt_attn.proj.bias
|
160 |
+
double_blocks.14.txt_attn.proj.weight
|
161 |
+
double_blocks.14.txt_attn.qkv.bias
|
162 |
+
double_blocks.14.txt_attn.qkv.weight
|
163 |
+
double_blocks.14.txt_mlp.0.bias
|
164 |
+
double_blocks.14.txt_mlp.0.weight
|
165 |
+
double_blocks.14.txt_mlp.2.bias
|
166 |
+
double_blocks.14.txt_mlp.2.weight
|
167 |
+
double_blocks.14.txt_mod.lin.bias
|
168 |
+
double_blocks.14.txt_mod.lin.weight
|
169 |
+
double_blocks.15.img_attn.norm.key_norm.scale
|
170 |
+
double_blocks.15.img_attn.norm.query_norm.scale
|
171 |
+
double_blocks.15.img_attn.proj.bias
|
172 |
+
double_blocks.15.img_attn.proj.weight
|
173 |
+
double_blocks.15.img_attn.qkv.bias
|
174 |
+
double_blocks.15.img_attn.qkv.weight
|
175 |
+
double_blocks.15.img_mlp.0.bias
|
176 |
+
double_blocks.15.img_mlp.0.weight
|
177 |
+
double_blocks.15.img_mlp.2.bias
|
178 |
+
double_blocks.15.img_mlp.2.weight
|
179 |
+
double_blocks.15.img_mod.lin.bias
|
180 |
+
double_blocks.15.img_mod.lin.weight
|
181 |
+
double_blocks.15.txt_attn.norm.key_norm.scale
|
182 |
+
double_blocks.15.txt_attn.norm.query_norm.scale
|
183 |
+
double_blocks.15.txt_attn.proj.bias
|
184 |
+
double_blocks.15.txt_attn.proj.weight
|
185 |
+
double_blocks.15.txt_attn.qkv.bias
|
186 |
+
double_blocks.15.txt_attn.qkv.weight
|
187 |
+
double_blocks.15.txt_mlp.0.bias
|
188 |
+
double_blocks.15.txt_mlp.0.weight
|
189 |
+
double_blocks.15.txt_mlp.2.bias
|
190 |
+
double_blocks.15.txt_mlp.2.weight
|
191 |
+
double_blocks.15.txt_mod.lin.bias
|
192 |
+
double_blocks.15.txt_mod.lin.weight
|
193 |
+
double_blocks.16.img_attn.norm.key_norm.scale
|
194 |
+
double_blocks.16.img_attn.norm.query_norm.scale
|
195 |
+
double_blocks.16.img_attn.proj.bias
|
196 |
+
double_blocks.16.img_attn.proj.weight
|
197 |
+
double_blocks.16.img_attn.qkv.bias
|
198 |
+
double_blocks.16.img_attn.qkv.weight
|
199 |
+
double_blocks.16.img_mlp.0.bias
|
200 |
+
double_blocks.16.img_mlp.0.weight
|
201 |
+
double_blocks.16.img_mlp.2.bias
|
202 |
+
double_blocks.16.img_mlp.2.weight
|
203 |
+
double_blocks.16.img_mod.lin.bias
|
204 |
+
double_blocks.16.img_mod.lin.weight
|
205 |
+
double_blocks.16.txt_attn.norm.key_norm.scale
|
206 |
+
double_blocks.16.txt_attn.norm.query_norm.scale
|
207 |
+
double_blocks.16.txt_attn.proj.bias
|
208 |
+
double_blocks.16.txt_attn.proj.weight
|
209 |
+
double_blocks.16.txt_attn.qkv.bias
|
210 |
+
double_blocks.16.txt_attn.qkv.weight
|
211 |
+
double_blocks.16.txt_mlp.0.bias
|
212 |
+
double_blocks.16.txt_mlp.0.weight
|
213 |
+
double_blocks.16.txt_mlp.2.bias
|
214 |
+
double_blocks.16.txt_mlp.2.weight
|
215 |
+
double_blocks.16.txt_mod.lin.bias
|
216 |
+
double_blocks.16.txt_mod.lin.weight
|
217 |
+
double_blocks.17.img_attn.norm.key_norm.scale
|
218 |
+
double_blocks.17.img_attn.norm.query_norm.scale
|
219 |
+
double_blocks.17.img_attn.proj.bias
|
220 |
+
double_blocks.17.img_attn.proj.weight
|
221 |
+
double_blocks.17.img_attn.qkv.bias
|
222 |
+
double_blocks.17.img_attn.qkv.weight
|
223 |
+
double_blocks.17.img_mlp.0.bias
|
224 |
+
double_blocks.17.img_mlp.0.weight
|
225 |
+
double_blocks.17.img_mlp.2.bias
|
226 |
+
double_blocks.17.img_mlp.2.weight
|
227 |
+
double_blocks.17.img_mod.lin.bias
|
228 |
+
double_blocks.17.img_mod.lin.weight
|
229 |
+
double_blocks.17.txt_attn.norm.key_norm.scale
|
230 |
+
double_blocks.17.txt_attn.norm.query_norm.scale
|
231 |
+
double_blocks.17.txt_attn.proj.bias
|
232 |
+
double_blocks.17.txt_attn.proj.weight
|
233 |
+
double_blocks.17.txt_attn.qkv.bias
|
234 |
+
double_blocks.17.txt_attn.qkv.weight
|
235 |
+
double_blocks.17.txt_mlp.0.bias
|
236 |
+
double_blocks.17.txt_mlp.0.weight
|
237 |
+
double_blocks.17.txt_mlp.2.bias
|
238 |
+
double_blocks.17.txt_mlp.2.weight
|
239 |
+
double_blocks.17.txt_mod.lin.bias
|
240 |
+
double_blocks.17.txt_mod.lin.weight
|
241 |
+
double_blocks.18.img_attn.norm.key_norm.scale
|
242 |
+
double_blocks.18.img_attn.norm.query_norm.scale
|
243 |
+
double_blocks.18.img_attn.proj.bias
|
244 |
+
double_blocks.18.img_attn.proj.weight
|
245 |
+
double_blocks.18.img_attn.qkv.bias
|
246 |
+
double_blocks.18.img_attn.qkv.weight
|
247 |
+
double_blocks.18.img_mlp.0.bias
|
248 |
+
double_blocks.18.img_mlp.0.weight
|
249 |
+
double_blocks.18.img_mlp.2.bias
|
250 |
+
double_blocks.18.img_mlp.2.weight
|
251 |
+
double_blocks.18.img_mod.lin.bias
|
252 |
+
double_blocks.18.img_mod.lin.weight
|
253 |
+
double_blocks.18.txt_attn.norm.key_norm.scale
|
254 |
+
double_blocks.18.txt_attn.norm.query_norm.scale
|
255 |
+
double_blocks.18.txt_attn.proj.bias
|
256 |
+
double_blocks.18.txt_attn.proj.weight
|
257 |
+
double_blocks.18.txt_attn.qkv.bias
|
258 |
+
double_blocks.18.txt_attn.qkv.weight
|
259 |
+
double_blocks.18.txt_mlp.0.bias
|
260 |
+
double_blocks.18.txt_mlp.0.weight
|
261 |
+
double_blocks.18.txt_mlp.2.bias
|
262 |
+
double_blocks.18.txt_mlp.2.weight
|
263 |
+
double_blocks.18.txt_mod.lin.bias
|
264 |
+
double_blocks.18.txt_mod.lin.weight
|
265 |
+
double_blocks.2.img_attn.norm.key_norm.scale
|
266 |
+
double_blocks.2.img_attn.norm.query_norm.scale
|
267 |
+
double_blocks.2.img_attn.proj.bias
|
268 |
+
double_blocks.2.img_attn.proj.weight
|
269 |
+
double_blocks.2.img_attn.qkv.bias
|
270 |
+
double_blocks.2.img_attn.qkv.weight
|
271 |
+
double_blocks.2.img_mlp.0.bias
|
272 |
+
double_blocks.2.img_mlp.0.weight
|
273 |
+
double_blocks.2.img_mlp.2.bias
|
274 |
+
double_blocks.2.img_mlp.2.weight
|
275 |
+
double_blocks.2.img_mod.lin.bias
|
276 |
+
double_blocks.2.img_mod.lin.weight
|
277 |
+
double_blocks.2.txt_attn.norm.key_norm.scale
|
278 |
+
double_blocks.2.txt_attn.norm.query_norm.scale
|
279 |
+
double_blocks.2.txt_attn.proj.bias
|
280 |
+
double_blocks.2.txt_attn.proj.weight
|
281 |
+
double_blocks.2.txt_attn.qkv.bias
|
282 |
+
double_blocks.2.txt_attn.qkv.weight
|
283 |
+
double_blocks.2.txt_mlp.0.bias
|
284 |
+
double_blocks.2.txt_mlp.0.weight
|
285 |
+
double_blocks.2.txt_mlp.2.bias
|
286 |
+
double_blocks.2.txt_mlp.2.weight
|
287 |
+
double_blocks.2.txt_mod.lin.bias
|
288 |
+
double_blocks.2.txt_mod.lin.weight
|
289 |
+
double_blocks.3.img_attn.norm.key_norm.scale
|
290 |
+
double_blocks.3.img_attn.norm.query_norm.scale
|
291 |
+
double_blocks.3.img_attn.proj.bias
|
292 |
+
double_blocks.3.img_attn.proj.weight
|
293 |
+
double_blocks.3.img_attn.qkv.bias
|
294 |
+
double_blocks.3.img_attn.qkv.weight
|
295 |
+
double_blocks.3.img_mlp.0.bias
|
296 |
+
double_blocks.3.img_mlp.0.weight
|
297 |
+
double_blocks.3.img_mlp.2.bias
|
298 |
+
double_blocks.3.img_mlp.2.weight
|
299 |
+
double_blocks.3.img_mod.lin.bias
|
300 |
+
double_blocks.3.img_mod.lin.weight
|
301 |
+
double_blocks.3.txt_attn.norm.key_norm.scale
|
302 |
+
double_blocks.3.txt_attn.norm.query_norm.scale
|
303 |
+
double_blocks.3.txt_attn.proj.bias
|
304 |
+
double_blocks.3.txt_attn.proj.weight
|
305 |
+
double_blocks.3.txt_attn.qkv.bias
|
306 |
+
double_blocks.3.txt_attn.qkv.weight
|
307 |
+
double_blocks.3.txt_mlp.0.bias
|
308 |
+
double_blocks.3.txt_mlp.0.weight
|
309 |
+
double_blocks.3.txt_mlp.2.bias
|
310 |
+
double_blocks.3.txt_mlp.2.weight
|
311 |
+
double_blocks.3.txt_mod.lin.bias
|
312 |
+
double_blocks.3.txt_mod.lin.weight
|
313 |
+
double_blocks.4.img_attn.norm.key_norm.scale
|
314 |
+
double_blocks.4.img_attn.norm.query_norm.scale
|
315 |
+
double_blocks.4.img_attn.proj.bias
|
316 |
+
double_blocks.4.img_attn.proj.weight
|
317 |
+
double_blocks.4.img_attn.qkv.bias
|
318 |
+
double_blocks.4.img_attn.qkv.weight
|
319 |
+
double_blocks.4.img_mlp.0.bias
|
320 |
+
double_blocks.4.img_mlp.0.weight
|
321 |
+
double_blocks.4.img_mlp.2.bias
|
322 |
+
double_blocks.4.img_mlp.2.weight
|
323 |
+
double_blocks.4.img_mod.lin.bias
|
324 |
+
double_blocks.4.img_mod.lin.weight
|
325 |
+
double_blocks.4.txt_attn.norm.key_norm.scale
|
326 |
+
double_blocks.4.txt_attn.norm.query_norm.scale
|
327 |
+
double_blocks.4.txt_attn.proj.bias
|
328 |
+
double_blocks.4.txt_attn.proj.weight
|
329 |
+
double_blocks.4.txt_attn.qkv.bias
|
330 |
+
double_blocks.4.txt_attn.qkv.weight
|
331 |
+
double_blocks.4.txt_mlp.0.bias
|
332 |
+
double_blocks.4.txt_mlp.0.weight
|
333 |
+
double_blocks.4.txt_mlp.2.bias
|
334 |
+
double_blocks.4.txt_mlp.2.weight
|
335 |
+
double_blocks.4.txt_mod.lin.bias
|
336 |
+
double_blocks.4.txt_mod.lin.weight
|
337 |
+
double_blocks.5.img_attn.norm.key_norm.scale
|
338 |
+
double_blocks.5.img_attn.norm.query_norm.scale
|
339 |
+
double_blocks.5.img_attn.proj.bias
|
340 |
+
double_blocks.5.img_attn.proj.weight
|
341 |
+
double_blocks.5.img_attn.qkv.bias
|
342 |
+
double_blocks.5.img_attn.qkv.weight
|
343 |
+
double_blocks.5.img_mlp.0.bias
|
344 |
+
double_blocks.5.img_mlp.0.weight
|
345 |
+
double_blocks.5.img_mlp.2.bias
|
346 |
+
double_blocks.5.img_mlp.2.weight
|
347 |
+
double_blocks.5.img_mod.lin.bias
|
348 |
+
double_blocks.5.img_mod.lin.weight
|
349 |
+
double_blocks.5.txt_attn.norm.key_norm.scale
|
350 |
+
double_blocks.5.txt_attn.norm.query_norm.scale
|
351 |
+
double_blocks.5.txt_attn.proj.bias
|
352 |
+
double_blocks.5.txt_attn.proj.weight
|
353 |
+
double_blocks.5.txt_attn.qkv.bias
|
354 |
+
double_blocks.5.txt_attn.qkv.weight
|
355 |
+
double_blocks.5.txt_mlp.0.bias
|
356 |
+
double_blocks.5.txt_mlp.0.weight
|
357 |
+
double_blocks.5.txt_mlp.2.bias
|
358 |
+
double_blocks.5.txt_mlp.2.weight
|
359 |
+
double_blocks.5.txt_mod.lin.bias
|
360 |
+
double_blocks.5.txt_mod.lin.weight
|
361 |
+
double_blocks.6.img_attn.norm.key_norm.scale
|
362 |
+
double_blocks.6.img_attn.norm.query_norm.scale
|
363 |
+
double_blocks.6.img_attn.proj.bias
|
364 |
+
double_blocks.6.img_attn.proj.weight
|
365 |
+
double_blocks.6.img_attn.qkv.bias
|
366 |
+
double_blocks.6.img_attn.qkv.weight
|
367 |
+
double_blocks.6.img_mlp.0.bias
|
368 |
+
double_blocks.6.img_mlp.0.weight
|
369 |
+
double_blocks.6.img_mlp.2.bias
|
370 |
+
double_blocks.6.img_mlp.2.weight
|
371 |
+
double_blocks.6.img_mod.lin.bias
|
372 |
+
double_blocks.6.img_mod.lin.weight
|
373 |
+
double_blocks.6.txt_attn.norm.key_norm.scale
|
374 |
+
double_blocks.6.txt_attn.norm.query_norm.scale
|
375 |
+
double_blocks.6.txt_attn.proj.bias
|
376 |
+
double_blocks.6.txt_attn.proj.weight
|
377 |
+
double_blocks.6.txt_attn.qkv.bias
|
378 |
+
double_blocks.6.txt_attn.qkv.weight
|
379 |
+
double_blocks.6.txt_mlp.0.bias
|
380 |
+
double_blocks.6.txt_mlp.0.weight
|
381 |
+
double_blocks.6.txt_mlp.2.bias
|
382 |
+
double_blocks.6.txt_mlp.2.weight
|
383 |
+
double_blocks.6.txt_mod.lin.bias
|
384 |
+
double_blocks.6.txt_mod.lin.weight
|
385 |
+
double_blocks.7.img_attn.norm.key_norm.scale
|
386 |
+
double_blocks.7.img_attn.norm.query_norm.scale
|
387 |
+
double_blocks.7.img_attn.proj.bias
|
388 |
+
double_blocks.7.img_attn.proj.weight
|
389 |
+
double_blocks.7.img_attn.qkv.bias
|
390 |
+
double_blocks.7.img_attn.qkv.weight
|
391 |
+
double_blocks.7.img_mlp.0.bias
|
392 |
+
double_blocks.7.img_mlp.0.weight
|
393 |
+
double_blocks.7.img_mlp.2.bias
|
394 |
+
double_blocks.7.img_mlp.2.weight
|
395 |
+
double_blocks.7.img_mod.lin.bias
|
396 |
+
double_blocks.7.img_mod.lin.weight
|
397 |
+
double_blocks.7.txt_attn.norm.key_norm.scale
|
398 |
+
double_blocks.7.txt_attn.norm.query_norm.scale
|
399 |
+
double_blocks.7.txt_attn.proj.bias
|
400 |
+
double_blocks.7.txt_attn.proj.weight
|
401 |
+
double_blocks.7.txt_attn.qkv.bias
|
402 |
+
double_blocks.7.txt_attn.qkv.weight
|
403 |
+
double_blocks.7.txt_mlp.0.bias
|
404 |
+
double_blocks.7.txt_mlp.0.weight
|
405 |
+
double_blocks.7.txt_mlp.2.bias
|
406 |
+
double_blocks.7.txt_mlp.2.weight
|
407 |
+
double_blocks.7.txt_mod.lin.bias
|
408 |
+
double_blocks.7.txt_mod.lin.weight
|
409 |
+
double_blocks.8.img_attn.norm.key_norm.scale
|
410 |
+
double_blocks.8.img_attn.norm.query_norm.scale
|
411 |
+
double_blocks.8.img_attn.proj.bias
|
412 |
+
double_blocks.8.img_attn.proj.weight
|
413 |
+
double_blocks.8.img_attn.qkv.bias
|
414 |
+
double_blocks.8.img_attn.qkv.weight
|
415 |
+
double_blocks.8.img_mlp.0.bias
|
416 |
+
double_blocks.8.img_mlp.0.weight
|
417 |
+
double_blocks.8.img_mlp.2.bias
|
418 |
+
double_blocks.8.img_mlp.2.weight
|
419 |
+
double_blocks.8.img_mod.lin.bias
|
420 |
+
double_blocks.8.img_mod.lin.weight
|
421 |
+
double_blocks.8.txt_attn.norm.key_norm.scale
|
422 |
+
double_blocks.8.txt_attn.norm.query_norm.scale
|
423 |
+
double_blocks.8.txt_attn.proj.bias
|
424 |
+
double_blocks.8.txt_attn.proj.weight
|
425 |
+
double_blocks.8.txt_attn.qkv.bias
|
426 |
+
double_blocks.8.txt_attn.qkv.weight
|
427 |
+
double_blocks.8.txt_mlp.0.bias
|
428 |
+
double_blocks.8.txt_mlp.0.weight
|
429 |
+
double_blocks.8.txt_mlp.2.bias
|
430 |
+
double_blocks.8.txt_mlp.2.weight
|
431 |
+
double_blocks.8.txt_mod.lin.bias
|
432 |
+
double_blocks.8.txt_mod.lin.weight
|
433 |
+
double_blocks.9.img_attn.norm.key_norm.scale
|
434 |
+
double_blocks.9.img_attn.norm.query_norm.scale
|
435 |
+
double_blocks.9.img_attn.proj.bias
|
436 |
+
double_blocks.9.img_attn.proj.weight
|
437 |
+
double_blocks.9.img_attn.qkv.bias
|
438 |
+
double_blocks.9.img_attn.qkv.weight
|
439 |
+
double_blocks.9.img_mlp.0.bias
|
440 |
+
double_blocks.9.img_mlp.0.weight
|
441 |
+
double_blocks.9.img_mlp.2.bias
|
442 |
+
double_blocks.9.img_mlp.2.weight
|
443 |
+
double_blocks.9.img_mod.lin.bias
|
444 |
+
double_blocks.9.img_mod.lin.weight
|
445 |
+
double_blocks.9.txt_attn.norm.key_norm.scale
|
446 |
+
double_blocks.9.txt_attn.norm.query_norm.scale
|
447 |
+
double_blocks.9.txt_attn.proj.bias
|
448 |
+
double_blocks.9.txt_attn.proj.weight
|
449 |
+
double_blocks.9.txt_attn.qkv.bias
|
450 |
+
double_blocks.9.txt_attn.qkv.weight
|
451 |
+
double_blocks.9.txt_mlp.0.bias
|
452 |
+
double_blocks.9.txt_mlp.0.weight
|
453 |
+
double_blocks.9.txt_mlp.2.bias
|
454 |
+
double_blocks.9.txt_mlp.2.weight
|
455 |
+
double_blocks.9.txt_mod.lin.bias
|
456 |
+
double_blocks.9.txt_mod.lin.weight
|
457 |
+
final_layer.adaLN_modulation.1.bias
|
458 |
+
final_layer.adaLN_modulation.1.weight
|
459 |
+
final_layer.linear.bias
|
460 |
+
final_layer.linear.weight
|
461 |
+
guidance_in.in_layer.bias
|
462 |
+
guidance_in.in_layer.weight
|
463 |
+
guidance_in.out_layer.bias
|
464 |
+
guidance_in.out_layer.weight
|
465 |
+
img_in.bias
|
466 |
+
img_in.weight
|
467 |
+
single_blocks.0.linear1.bias
|
468 |
+
single_blocks.0.linear1.weight
|
469 |
+
single_blocks.0.linear2.bias
|
470 |
+
single_blocks.0.linear2.weight
|
471 |
+
single_blocks.0.modulation.lin.bias
|
472 |
+
single_blocks.0.modulation.lin.weight
|
473 |
+
single_blocks.0.norm.key_norm.scale
|
474 |
+
single_blocks.0.norm.query_norm.scale
|
475 |
+
single_blocks.1.linear1.bias
|
476 |
+
single_blocks.1.linear1.weight
|
477 |
+
single_blocks.1.linear2.bias
|
478 |
+
single_blocks.1.linear2.weight
|
479 |
+
single_blocks.1.modulation.lin.bias
|
480 |
+
single_blocks.1.modulation.lin.weight
|
481 |
+
single_blocks.1.norm.key_norm.scale
|
482 |
+
single_blocks.1.norm.query_norm.scale
|
483 |
+
single_blocks.10.linear1.bias
|
484 |
+
single_blocks.10.linear1.weight
|
485 |
+
single_blocks.10.linear2.bias
|
486 |
+
single_blocks.10.linear2.weight
|
487 |
+
single_blocks.10.modulation.lin.bias
|
488 |
+
single_blocks.10.modulation.lin.weight
|
489 |
+
single_blocks.10.norm.key_norm.scale
|
490 |
+
single_blocks.10.norm.query_norm.scale
|
491 |
+
single_blocks.11.linear1.bias
|
492 |
+
single_blocks.11.linear1.weight
|
493 |
+
single_blocks.11.linear2.bias
|
494 |
+
single_blocks.11.linear2.weight
|
495 |
+
single_blocks.11.modulation.lin.bias
|
496 |
+
single_blocks.11.modulation.lin.weight
|
497 |
+
single_blocks.11.norm.key_norm.scale
|
498 |
+
single_blocks.11.norm.query_norm.scale
|
499 |
+
single_blocks.12.linear1.bias
|
500 |
+
single_blocks.12.linear1.weight
|
501 |
+
single_blocks.12.linear2.bias
|
502 |
+
single_blocks.12.linear2.weight
|
503 |
+
single_blocks.12.modulation.lin.bias
|
504 |
+
single_blocks.12.modulation.lin.weight
|
505 |
+
single_blocks.12.norm.key_norm.scale
|
506 |
+
single_blocks.12.norm.query_norm.scale
|
507 |
+
single_blocks.13.linear1.bias
|
508 |
+
single_blocks.13.linear1.weight
|
509 |
+
single_blocks.13.linear2.bias
|
510 |
+
single_blocks.13.linear2.weight
|
511 |
+
single_blocks.13.modulation.lin.bias
|
512 |
+
single_blocks.13.modulation.lin.weight
|
513 |
+
single_blocks.13.norm.key_norm.scale
|
514 |
+
single_blocks.13.norm.query_norm.scale
|
515 |
+
single_blocks.14.linear1.bias
|
516 |
+
single_blocks.14.linear1.weight
|
517 |
+
single_blocks.14.linear2.bias
|
518 |
+
single_blocks.14.linear2.weight
|
519 |
+
single_blocks.14.modulation.lin.bias
|
520 |
+
single_blocks.14.modulation.lin.weight
|
521 |
+
single_blocks.14.norm.key_norm.scale
|
522 |
+
single_blocks.14.norm.query_norm.scale
|
523 |
+
single_blocks.15.linear1.bias
|
524 |
+
single_blocks.15.linear1.weight
|
525 |
+
single_blocks.15.linear2.bias
|
526 |
+
single_blocks.15.linear2.weight
|
527 |
+
single_blocks.15.modulation.lin.bias
|
528 |
+
single_blocks.15.modulation.lin.weight
|
529 |
+
single_blocks.15.norm.key_norm.scale
|
530 |
+
single_blocks.15.norm.query_norm.scale
|
531 |
+
single_blocks.16.linear1.bias
|
532 |
+
single_blocks.16.linear1.weight
|
533 |
+
single_blocks.16.linear2.bias
|
534 |
+
single_blocks.16.linear2.weight
|
535 |
+
single_blocks.16.modulation.lin.bias
|
536 |
+
single_blocks.16.modulation.lin.weight
|
537 |
+
single_blocks.16.norm.key_norm.scale
|
538 |
+
single_blocks.16.norm.query_norm.scale
|
539 |
+
single_blocks.17.linear1.bias
|
540 |
+
single_blocks.17.linear1.weight
|
541 |
+
single_blocks.17.linear2.bias
|
542 |
+
single_blocks.17.linear2.weight
|
543 |
+
single_blocks.17.modulation.lin.bias
|
544 |
+
single_blocks.17.modulation.lin.weight
|
545 |
+
single_blocks.17.norm.key_norm.scale
|
546 |
+
single_blocks.17.norm.query_norm.scale
|
547 |
+
single_blocks.18.linear1.bias
|
548 |
+
single_blocks.18.linear1.weight
|
549 |
+
single_blocks.18.linear2.bias
|
550 |
+
single_blocks.18.linear2.weight
|
551 |
+
single_blocks.18.modulation.lin.bias
|
552 |
+
single_blocks.18.modulation.lin.weight
|
553 |
+
single_blocks.18.norm.key_norm.scale
|
554 |
+
single_blocks.18.norm.query_norm.scale
|
555 |
+
single_blocks.19.linear1.bias
|
556 |
+
single_blocks.19.linear1.weight
|
557 |
+
single_blocks.19.linear2.bias
|
558 |
+
single_blocks.19.linear2.weight
|
559 |
+
single_blocks.19.modulation.lin.bias
|
560 |
+
single_blocks.19.modulation.lin.weight
|
561 |
+
single_blocks.19.norm.key_norm.scale
|
562 |
+
single_blocks.19.norm.query_norm.scale
|
563 |
+
single_blocks.2.linear1.bias
|
564 |
+
single_blocks.2.linear1.weight
|
565 |
+
single_blocks.2.linear2.bias
|
566 |
+
single_blocks.2.linear2.weight
|
567 |
+
single_blocks.2.modulation.lin.bias
|
568 |
+
single_blocks.2.modulation.lin.weight
|
569 |
+
single_blocks.2.norm.key_norm.scale
|
570 |
+
single_blocks.2.norm.query_norm.scale
|
571 |
+
single_blocks.20.linear1.bias
|
572 |
+
single_blocks.20.linear1.weight
|
573 |
+
single_blocks.20.linear2.bias
|
574 |
+
single_blocks.20.linear2.weight
|
575 |
+
single_blocks.20.modulation.lin.bias
|
576 |
+
single_blocks.20.modulation.lin.weight
|
577 |
+
single_blocks.20.norm.key_norm.scale
|
578 |
+
single_blocks.20.norm.query_norm.scale
|
579 |
+
single_blocks.21.linear1.bias
|
580 |
+
single_blocks.21.linear1.weight
|
581 |
+
single_blocks.21.linear2.bias
|
582 |
+
single_blocks.21.linear2.weight
|
583 |
+
single_blocks.21.modulation.lin.bias
|
584 |
+
single_blocks.21.modulation.lin.weight
|
585 |
+
single_blocks.21.norm.key_norm.scale
|
586 |
+
single_blocks.21.norm.query_norm.scale
|
587 |
+
single_blocks.22.linear1.bias
|
588 |
+
single_blocks.22.linear1.weight
|
589 |
+
single_blocks.22.linear2.bias
|
590 |
+
single_blocks.22.linear2.weight
|
591 |
+
single_blocks.22.modulation.lin.bias
|
592 |
+
single_blocks.22.modulation.lin.weight
|
593 |
+
single_blocks.22.norm.key_norm.scale
|
594 |
+
single_blocks.22.norm.query_norm.scale
|
595 |
+
single_blocks.23.linear1.bias
|
596 |
+
single_blocks.23.linear1.weight
|
597 |
+
single_blocks.23.linear2.bias
|
598 |
+
single_blocks.23.linear2.weight
|
599 |
+
single_blocks.23.modulation.lin.bias
|
600 |
+
single_blocks.23.modulation.lin.weight
|
601 |
+
single_blocks.23.norm.key_norm.scale
|
602 |
+
single_blocks.23.norm.query_norm.scale
|
603 |
+
single_blocks.24.linear1.bias
|
604 |
+
single_blocks.24.linear1.weight
|
605 |
+
single_blocks.24.linear2.bias
|
606 |
+
single_blocks.24.linear2.weight
|
607 |
+
single_blocks.24.modulation.lin.bias
|
608 |
+
single_blocks.24.modulation.lin.weight
|
609 |
+
single_blocks.24.norm.key_norm.scale
|
610 |
+
single_blocks.24.norm.query_norm.scale
|
611 |
+
single_blocks.25.linear1.bias
|
612 |
+
single_blocks.25.linear1.weight
|
613 |
+
single_blocks.25.linear2.bias
|
614 |
+
single_blocks.25.linear2.weight
|
615 |
+
single_blocks.25.modulation.lin.bias
|
616 |
+
single_blocks.25.modulation.lin.weight
|
617 |
+
single_blocks.25.norm.key_norm.scale
|
618 |
+
single_blocks.25.norm.query_norm.scale
|
619 |
+
single_blocks.26.linear1.bias
|
620 |
+
single_blocks.26.linear1.weight
|
621 |
+
single_blocks.26.linear2.bias
|
622 |
+
single_blocks.26.linear2.weight
|
623 |
+
single_blocks.26.modulation.lin.bias
|
624 |
+
single_blocks.26.modulation.lin.weight
|
625 |
+
single_blocks.26.norm.key_norm.scale
|
626 |
+
single_blocks.26.norm.query_norm.scale
|
627 |
+
single_blocks.27.linear1.bias
|
628 |
+
single_blocks.27.linear1.weight
|
629 |
+
single_blocks.27.linear2.bias
|
630 |
+
single_blocks.27.linear2.weight
|
631 |
+
single_blocks.27.modulation.lin.bias
|
632 |
+
single_blocks.27.modulation.lin.weight
|
633 |
+
single_blocks.27.norm.key_norm.scale
|
634 |
+
single_blocks.27.norm.query_norm.scale
|
635 |
+
single_blocks.28.linear1.bias
|
636 |
+
single_blocks.28.linear1.weight
|
637 |
+
single_blocks.28.linear2.bias
|
638 |
+
single_blocks.28.linear2.weight
|
639 |
+
single_blocks.28.modulation.lin.bias
|
640 |
+
single_blocks.28.modulation.lin.weight
|
641 |
+
single_blocks.28.norm.key_norm.scale
|
642 |
+
single_blocks.28.norm.query_norm.scale
|
643 |
+
single_blocks.29.linear1.bias
|
644 |
+
single_blocks.29.linear1.weight
|
645 |
+
single_blocks.29.linear2.bias
|
646 |
+
single_blocks.29.linear2.weight
|
647 |
+
single_blocks.29.modulation.lin.bias
|
648 |
+
single_blocks.29.modulation.lin.weight
|
649 |
+
single_blocks.29.norm.key_norm.scale
|
650 |
+
single_blocks.29.norm.query_norm.scale
|
651 |
+
single_blocks.3.linear1.bias
|
652 |
+
single_blocks.3.linear1.weight
|
653 |
+
single_blocks.3.linear2.bias
|
654 |
+
single_blocks.3.linear2.weight
|
655 |
+
single_blocks.3.modulation.lin.bias
|
656 |
+
single_blocks.3.modulation.lin.weight
|
657 |
+
single_blocks.3.norm.key_norm.scale
|
658 |
+
single_blocks.3.norm.query_norm.scale
|
659 |
+
single_blocks.30.linear1.bias
|
660 |
+
single_blocks.30.linear1.weight
|
661 |
+
single_blocks.30.linear2.bias
|
662 |
+
single_blocks.30.linear2.weight
|
663 |
+
single_blocks.30.modulation.lin.bias
|
664 |
+
single_blocks.30.modulation.lin.weight
|
665 |
+
single_blocks.30.norm.key_norm.scale
|
666 |
+
single_blocks.30.norm.query_norm.scale
|
667 |
+
single_blocks.31.linear1.bias
|
668 |
+
single_blocks.31.linear1.weight
|
669 |
+
single_blocks.31.linear2.bias
|
670 |
+
single_blocks.31.linear2.weight
|
671 |
+
single_blocks.31.modulation.lin.bias
|
672 |
+
single_blocks.31.modulation.lin.weight
|
673 |
+
single_blocks.31.norm.key_norm.scale
|
674 |
+
single_blocks.31.norm.query_norm.scale
|
675 |
+
single_blocks.32.linear1.bias
|
676 |
+
single_blocks.32.linear1.weight
|
677 |
+
single_blocks.32.linear2.bias
|
678 |
+
single_blocks.32.linear2.weight
|
679 |
+
single_blocks.32.modulation.lin.bias
|
680 |
+
single_blocks.32.modulation.lin.weight
|
681 |
+
single_blocks.32.norm.key_norm.scale
|
682 |
+
single_blocks.32.norm.query_norm.scale
|
683 |
+
single_blocks.33.linear1.bias
|
684 |
+
single_blocks.33.linear1.weight
|
685 |
+
single_blocks.33.linear2.bias
|
686 |
+
single_blocks.33.linear2.weight
|
687 |
+
single_blocks.33.modulation.lin.bias
|
688 |
+
single_blocks.33.modulation.lin.weight
|
689 |
+
single_blocks.33.norm.key_norm.scale
|
690 |
+
single_blocks.33.norm.query_norm.scale
|
691 |
+
single_blocks.34.linear1.bias
|
692 |
+
single_blocks.34.linear1.weight
|
693 |
+
single_blocks.34.linear2.bias
|
694 |
+
single_blocks.34.linear2.weight
|
695 |
+
single_blocks.34.modulation.lin.bias
|
696 |
+
single_blocks.34.modulation.lin.weight
|
697 |
+
single_blocks.34.norm.key_norm.scale
|
698 |
+
single_blocks.34.norm.query_norm.scale
|
699 |
+
single_blocks.35.linear1.bias
|
700 |
+
single_blocks.35.linear1.weight
|
701 |
+
single_blocks.35.linear2.bias
|
702 |
+
single_blocks.35.linear2.weight
|
703 |
+
single_blocks.35.modulation.lin.bias
|
704 |
+
single_blocks.35.modulation.lin.weight
|
705 |
+
single_blocks.35.norm.key_norm.scale
|
706 |
+
single_blocks.35.norm.query_norm.scale
|
707 |
+
single_blocks.36.linear1.bias
|
708 |
+
single_blocks.36.linear1.weight
|
709 |
+
single_blocks.36.linear2.bias
|
710 |
+
single_blocks.36.linear2.weight
|
711 |
+
single_blocks.36.modulation.lin.bias
|
712 |
+
single_blocks.36.modulation.lin.weight
|
713 |
+
single_blocks.36.norm.key_norm.scale
|
714 |
+
single_blocks.36.norm.query_norm.scale
|
715 |
+
single_blocks.37.linear1.bias
|
716 |
+
single_blocks.37.linear1.weight
|
717 |
+
single_blocks.37.linear2.bias
|
718 |
+
single_blocks.37.linear2.weight
|
719 |
+
single_blocks.37.modulation.lin.bias
|
720 |
+
single_blocks.37.modulation.lin.weight
|
721 |
+
single_blocks.37.norm.key_norm.scale
|
722 |
+
single_blocks.37.norm.query_norm.scale
|
723 |
+
single_blocks.4.linear1.bias
|
724 |
+
single_blocks.4.linear1.weight
|
725 |
+
single_blocks.4.linear2.bias
|
726 |
+
single_blocks.4.linear2.weight
|
727 |
+
single_blocks.4.modulation.lin.bias
|
728 |
+
single_blocks.4.modulation.lin.weight
|
729 |
+
single_blocks.4.norm.key_norm.scale
|
730 |
+
single_blocks.4.norm.query_norm.scale
|
731 |
+
single_blocks.5.linear1.bias
|
732 |
+
single_blocks.5.linear1.weight
|
733 |
+
single_blocks.5.linear2.bias
|
734 |
+
single_blocks.5.linear2.weight
|
735 |
+
single_blocks.5.modulation.lin.bias
|
736 |
+
single_blocks.5.modulation.lin.weight
|
737 |
+
single_blocks.5.norm.key_norm.scale
|
738 |
+
single_blocks.5.norm.query_norm.scale
|
739 |
+
single_blocks.6.linear1.bias
|
740 |
+
single_blocks.6.linear1.weight
|
741 |
+
single_blocks.6.linear2.bias
|
742 |
+
single_blocks.6.linear2.weight
|
743 |
+
single_blocks.6.modulation.lin.bias
|
744 |
+
single_blocks.6.modulation.lin.weight
|
745 |
+
single_blocks.6.norm.key_norm.scale
|
746 |
+
single_blocks.6.norm.query_norm.scale
|
747 |
+
single_blocks.7.linear1.bias
|
748 |
+
single_blocks.7.linear1.weight
|
749 |
+
single_blocks.7.linear2.bias
|
750 |
+
single_blocks.7.linear2.weight
|
751 |
+
single_blocks.7.modulation.lin.bias
|
752 |
+
single_blocks.7.modulation.lin.weight
|
753 |
+
single_blocks.7.norm.key_norm.scale
|
754 |
+
single_blocks.7.norm.query_norm.scale
|
755 |
+
single_blocks.8.linear1.bias
|
756 |
+
single_blocks.8.linear1.weight
|
757 |
+
single_blocks.8.linear2.bias
|
758 |
+
single_blocks.8.linear2.weight
|
759 |
+
single_blocks.8.modulation.lin.bias
|
760 |
+
single_blocks.8.modulation.lin.weight
|
761 |
+
single_blocks.8.norm.key_norm.scale
|
762 |
+
single_blocks.8.norm.query_norm.scale
|
763 |
+
single_blocks.9.linear1.bias
|
764 |
+
single_blocks.9.linear1.weight
|
765 |
+
single_blocks.9.linear2.bias
|
766 |
+
single_blocks.9.linear2.weight
|
767 |
+
single_blocks.9.modulation.lin.bias
|
768 |
+
single_blocks.9.modulation.lin.weight
|
769 |
+
single_blocks.9.norm.key_norm.scale
|
770 |
+
single_blocks.9.norm.query_norm.scale
|
771 |
+
time_in.in_layer.bias
|
772 |
+
time_in.in_layer.weight
|
773 |
+
time_in.out_layer.bias
|
774 |
+
time_in.out_layer.weight
|
775 |
+
txt_in.bias
|
776 |
+
txt_in.weight
|
777 |
+
vector_in.in_layer.bias
|
778 |
+
vector_in.in_layer.weight
|
779 |
+
vector_in.out_layer.bias
|
780 |
+
vector_in.out_layer.weight
|
keys/flux1dev_transformer_keys.txt
ADDED
@@ -0,0 +1,780 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
double_blocks.0.img_attn.norm.key_norm.scale
|
2 |
+
double_blocks.0.img_attn.norm.query_norm.scale
|
3 |
+
double_blocks.0.img_attn.proj.bias
|
4 |
+
double_blocks.0.img_attn.proj.weight
|
5 |
+
double_blocks.0.img_attn.qkv.bias
|
6 |
+
double_blocks.0.img_attn.qkv.weight
|
7 |
+
double_blocks.0.img_mlp.0.bias
|
8 |
+
double_blocks.0.img_mlp.0.weight
|
9 |
+
double_blocks.0.img_mlp.2.bias
|
10 |
+
double_blocks.0.img_mlp.2.weight
|
11 |
+
double_blocks.0.img_mod.lin.bias
|
12 |
+
double_blocks.0.img_mod.lin.weight
|
13 |
+
double_blocks.0.txt_attn.norm.key_norm.scale
|
14 |
+
double_blocks.0.txt_attn.norm.query_norm.scale
|
15 |
+
double_blocks.0.txt_attn.proj.bias
|
16 |
+
double_blocks.0.txt_attn.proj.weight
|
17 |
+
double_blocks.0.txt_attn.qkv.bias
|
18 |
+
double_blocks.0.txt_attn.qkv.weight
|
19 |
+
double_blocks.0.txt_mlp.0.bias
|
20 |
+
double_blocks.0.txt_mlp.0.weight
|
21 |
+
double_blocks.0.txt_mlp.2.bias
|
22 |
+
double_blocks.0.txt_mlp.2.weight
|
23 |
+
double_blocks.0.txt_mod.lin.bias
|
24 |
+
double_blocks.0.txt_mod.lin.weight
|
25 |
+
double_blocks.1.img_attn.norm.key_norm.scale
|
26 |
+
double_blocks.1.img_attn.norm.query_norm.scale
|
27 |
+
double_blocks.1.img_attn.proj.bias
|
28 |
+
double_blocks.1.img_attn.proj.weight
|
29 |
+
double_blocks.1.img_attn.qkv.bias
|
30 |
+
double_blocks.1.img_attn.qkv.weight
|
31 |
+
double_blocks.1.img_mlp.0.bias
|
32 |
+
double_blocks.1.img_mlp.0.weight
|
33 |
+
double_blocks.1.img_mlp.2.bias
|
34 |
+
double_blocks.1.img_mlp.2.weight
|
35 |
+
double_blocks.1.img_mod.lin.bias
|
36 |
+
double_blocks.1.img_mod.lin.weight
|
37 |
+
double_blocks.1.txt_attn.norm.key_norm.scale
|
38 |
+
double_blocks.1.txt_attn.norm.query_norm.scale
|
39 |
+
double_blocks.1.txt_attn.proj.bias
|
40 |
+
double_blocks.1.txt_attn.proj.weight
|
41 |
+
double_blocks.1.txt_attn.qkv.bias
|
42 |
+
double_blocks.1.txt_attn.qkv.weight
|
43 |
+
double_blocks.1.txt_mlp.0.bias
|
44 |
+
double_blocks.1.txt_mlp.0.weight
|
45 |
+
double_blocks.1.txt_mlp.2.bias
|
46 |
+
double_blocks.1.txt_mlp.2.weight
|
47 |
+
double_blocks.1.txt_mod.lin.bias
|
48 |
+
double_blocks.1.txt_mod.lin.weight
|
49 |
+
double_blocks.10.img_attn.norm.key_norm.scale
|
50 |
+
double_blocks.10.img_attn.norm.query_norm.scale
|
51 |
+
double_blocks.10.img_attn.proj.bias
|
52 |
+
double_blocks.10.img_attn.proj.weight
|
53 |
+
double_blocks.10.img_attn.qkv.bias
|
54 |
+
double_blocks.10.img_attn.qkv.weight
|
55 |
+
double_blocks.10.img_mlp.0.bias
|
56 |
+
double_blocks.10.img_mlp.0.weight
|
57 |
+
double_blocks.10.img_mlp.2.bias
|
58 |
+
double_blocks.10.img_mlp.2.weight
|
59 |
+
double_blocks.10.img_mod.lin.bias
|
60 |
+
double_blocks.10.img_mod.lin.weight
|
61 |
+
double_blocks.10.txt_attn.norm.key_norm.scale
|
62 |
+
double_blocks.10.txt_attn.norm.query_norm.scale
|
63 |
+
double_blocks.10.txt_attn.proj.bias
|
64 |
+
double_blocks.10.txt_attn.proj.weight
|
65 |
+
double_blocks.10.txt_attn.qkv.bias
|
66 |
+
double_blocks.10.txt_attn.qkv.weight
|
67 |
+
double_blocks.10.txt_mlp.0.bias
|
68 |
+
double_blocks.10.txt_mlp.0.weight
|
69 |
+
double_blocks.10.txt_mlp.2.bias
|
70 |
+
double_blocks.10.txt_mlp.2.weight
|
71 |
+
double_blocks.10.txt_mod.lin.bias
|
72 |
+
double_blocks.10.txt_mod.lin.weight
|
73 |
+
double_blocks.11.img_attn.norm.key_norm.scale
|
74 |
+
double_blocks.11.img_attn.norm.query_norm.scale
|
75 |
+
double_blocks.11.img_attn.proj.bias
|
76 |
+
double_blocks.11.img_attn.proj.weight
|
77 |
+
double_blocks.11.img_attn.qkv.bias
|
78 |
+
double_blocks.11.img_attn.qkv.weight
|
79 |
+
double_blocks.11.img_mlp.0.bias
|
80 |
+
double_blocks.11.img_mlp.0.weight
|
81 |
+
double_blocks.11.img_mlp.2.bias
|
82 |
+
double_blocks.11.img_mlp.2.weight
|
83 |
+
double_blocks.11.img_mod.lin.bias
|
84 |
+
double_blocks.11.img_mod.lin.weight
|
85 |
+
double_blocks.11.txt_attn.norm.key_norm.scale
|
86 |
+
double_blocks.11.txt_attn.norm.query_norm.scale
|
87 |
+
double_blocks.11.txt_attn.proj.bias
|
88 |
+
double_blocks.11.txt_attn.proj.weight
|
89 |
+
double_blocks.11.txt_attn.qkv.bias
|
90 |
+
double_blocks.11.txt_attn.qkv.weight
|
91 |
+
double_blocks.11.txt_mlp.0.bias
|
92 |
+
double_blocks.11.txt_mlp.0.weight
|
93 |
+
double_blocks.11.txt_mlp.2.bias
|
94 |
+
double_blocks.11.txt_mlp.2.weight
|
95 |
+
double_blocks.11.txt_mod.lin.bias
|
96 |
+
double_blocks.11.txt_mod.lin.weight
|
97 |
+
double_blocks.12.img_attn.norm.key_norm.scale
|
98 |
+
double_blocks.12.img_attn.norm.query_norm.scale
|
99 |
+
double_blocks.12.img_attn.proj.bias
|
100 |
+
double_blocks.12.img_attn.proj.weight
|
101 |
+
double_blocks.12.img_attn.qkv.bias
|
102 |
+
double_blocks.12.img_attn.qkv.weight
|
103 |
+
double_blocks.12.img_mlp.0.bias
|
104 |
+
double_blocks.12.img_mlp.0.weight
|
105 |
+
double_blocks.12.img_mlp.2.bias
|
106 |
+
double_blocks.12.img_mlp.2.weight
|
107 |
+
double_blocks.12.img_mod.lin.bias
|
108 |
+
double_blocks.12.img_mod.lin.weight
|
109 |
+
double_blocks.12.txt_attn.norm.key_norm.scale
|
110 |
+
double_blocks.12.txt_attn.norm.query_norm.scale
|
111 |
+
double_blocks.12.txt_attn.proj.bias
|
112 |
+
double_blocks.12.txt_attn.proj.weight
|
113 |
+
double_blocks.12.txt_attn.qkv.bias
|
114 |
+
double_blocks.12.txt_attn.qkv.weight
|
115 |
+
double_blocks.12.txt_mlp.0.bias
|
116 |
+
double_blocks.12.txt_mlp.0.weight
|
117 |
+
double_blocks.12.txt_mlp.2.bias
|
118 |
+
double_blocks.12.txt_mlp.2.weight
|
119 |
+
double_blocks.12.txt_mod.lin.bias
|
120 |
+
double_blocks.12.txt_mod.lin.weight
|
121 |
+
double_blocks.13.img_attn.norm.key_norm.scale
|
122 |
+
double_blocks.13.img_attn.norm.query_norm.scale
|
123 |
+
double_blocks.13.img_attn.proj.bias
|
124 |
+
double_blocks.13.img_attn.proj.weight
|
125 |
+
double_blocks.13.img_attn.qkv.bias
|
126 |
+
double_blocks.13.img_attn.qkv.weight
|
127 |
+
double_blocks.13.img_mlp.0.bias
|
128 |
+
double_blocks.13.img_mlp.0.weight
|
129 |
+
double_blocks.13.img_mlp.2.bias
|
130 |
+
double_blocks.13.img_mlp.2.weight
|
131 |
+
double_blocks.13.img_mod.lin.bias
|
132 |
+
double_blocks.13.img_mod.lin.weight
|
133 |
+
double_blocks.13.txt_attn.norm.key_norm.scale
|
134 |
+
double_blocks.13.txt_attn.norm.query_norm.scale
|
135 |
+
double_blocks.13.txt_attn.proj.bias
|
136 |
+
double_blocks.13.txt_attn.proj.weight
|
137 |
+
double_blocks.13.txt_attn.qkv.bias
|
138 |
+
double_blocks.13.txt_attn.qkv.weight
|
139 |
+
double_blocks.13.txt_mlp.0.bias
|
140 |
+
double_blocks.13.txt_mlp.0.weight
|
141 |
+
double_blocks.13.txt_mlp.2.bias
|
142 |
+
double_blocks.13.txt_mlp.2.weight
|
143 |
+
double_blocks.13.txt_mod.lin.bias
|
144 |
+
double_blocks.13.txt_mod.lin.weight
|
145 |
+
double_blocks.14.img_attn.norm.key_norm.scale
|
146 |
+
double_blocks.14.img_attn.norm.query_norm.scale
|
147 |
+
double_blocks.14.img_attn.proj.bias
|
148 |
+
double_blocks.14.img_attn.proj.weight
|
149 |
+
double_blocks.14.img_attn.qkv.bias
|
150 |
+
double_blocks.14.img_attn.qkv.weight
|
151 |
+
double_blocks.14.img_mlp.0.bias
|
152 |
+
double_blocks.14.img_mlp.0.weight
|
153 |
+
double_blocks.14.img_mlp.2.bias
|
154 |
+
double_blocks.14.img_mlp.2.weight
|
155 |
+
double_blocks.14.img_mod.lin.bias
|
156 |
+
double_blocks.14.img_mod.lin.weight
|
157 |
+
double_blocks.14.txt_attn.norm.key_norm.scale
|
158 |
+
double_blocks.14.txt_attn.norm.query_norm.scale
|
159 |
+
double_blocks.14.txt_attn.proj.bias
|
160 |
+
double_blocks.14.txt_attn.proj.weight
|
161 |
+
double_blocks.14.txt_attn.qkv.bias
|
162 |
+
double_blocks.14.txt_attn.qkv.weight
|
163 |
+
double_blocks.14.txt_mlp.0.bias
|
164 |
+
double_blocks.14.txt_mlp.0.weight
|
165 |
+
double_blocks.14.txt_mlp.2.bias
|
166 |
+
double_blocks.14.txt_mlp.2.weight
|
167 |
+
double_blocks.14.txt_mod.lin.bias
|
168 |
+
double_blocks.14.txt_mod.lin.weight
|
169 |
+
double_blocks.15.img_attn.norm.key_norm.scale
|
170 |
+
double_blocks.15.img_attn.norm.query_norm.scale
|
171 |
+
double_blocks.15.img_attn.proj.bias
|
172 |
+
double_blocks.15.img_attn.proj.weight
|
173 |
+
double_blocks.15.img_attn.qkv.bias
|
174 |
+
double_blocks.15.img_attn.qkv.weight
|
175 |
+
double_blocks.15.img_mlp.0.bias
|
176 |
+
double_blocks.15.img_mlp.0.weight
|
177 |
+
double_blocks.15.img_mlp.2.bias
|
178 |
+
double_blocks.15.img_mlp.2.weight
|
179 |
+
double_blocks.15.img_mod.lin.bias
|
180 |
+
double_blocks.15.img_mod.lin.weight
|
181 |
+
double_blocks.15.txt_attn.norm.key_norm.scale
|
182 |
+
double_blocks.15.txt_attn.norm.query_norm.scale
|
183 |
+
double_blocks.15.txt_attn.proj.bias
|
184 |
+
double_blocks.15.txt_attn.proj.weight
|
185 |
+
double_blocks.15.txt_attn.qkv.bias
|
186 |
+
double_blocks.15.txt_attn.qkv.weight
|
187 |
+
double_blocks.15.txt_mlp.0.bias
|
188 |
+
double_blocks.15.txt_mlp.0.weight
|
189 |
+
double_blocks.15.txt_mlp.2.bias
|
190 |
+
double_blocks.15.txt_mlp.2.weight
|
191 |
+
double_blocks.15.txt_mod.lin.bias
|
192 |
+
double_blocks.15.txt_mod.lin.weight
|
193 |
+
double_blocks.16.img_attn.norm.key_norm.scale
|
194 |
+
double_blocks.16.img_attn.norm.query_norm.scale
|
195 |
+
double_blocks.16.img_attn.proj.bias
|
196 |
+
double_blocks.16.img_attn.proj.weight
|
197 |
+
double_blocks.16.img_attn.qkv.bias
|
198 |
+
double_blocks.16.img_attn.qkv.weight
|
199 |
+
double_blocks.16.img_mlp.0.bias
|
200 |
+
double_blocks.16.img_mlp.0.weight
|
201 |
+
double_blocks.16.img_mlp.2.bias
|
202 |
+
double_blocks.16.img_mlp.2.weight
|
203 |
+
double_blocks.16.img_mod.lin.bias
|
204 |
+
double_blocks.16.img_mod.lin.weight
|
205 |
+
double_blocks.16.txt_attn.norm.key_norm.scale
|
206 |
+
double_blocks.16.txt_attn.norm.query_norm.scale
|
207 |
+
double_blocks.16.txt_attn.proj.bias
|
208 |
+
double_blocks.16.txt_attn.proj.weight
|
209 |
+
double_blocks.16.txt_attn.qkv.bias
|
210 |
+
double_blocks.16.txt_attn.qkv.weight
|
211 |
+
double_blocks.16.txt_mlp.0.bias
|
212 |
+
double_blocks.16.txt_mlp.0.weight
|
213 |
+
double_blocks.16.txt_mlp.2.bias
|
214 |
+
double_blocks.16.txt_mlp.2.weight
|
215 |
+
double_blocks.16.txt_mod.lin.bias
|
216 |
+
double_blocks.16.txt_mod.lin.weight
|
217 |
+
double_blocks.17.img_attn.norm.key_norm.scale
|
218 |
+
double_blocks.17.img_attn.norm.query_norm.scale
|
219 |
+
double_blocks.17.img_attn.proj.bias
|
220 |
+
double_blocks.17.img_attn.proj.weight
|
221 |
+
double_blocks.17.img_attn.qkv.bias
|
222 |
+
double_blocks.17.img_attn.qkv.weight
|
223 |
+
double_blocks.17.img_mlp.0.bias
|
224 |
+
double_blocks.17.img_mlp.0.weight
|
225 |
+
double_blocks.17.img_mlp.2.bias
|
226 |
+
double_blocks.17.img_mlp.2.weight
|
227 |
+
double_blocks.17.img_mod.lin.bias
|
228 |
+
double_blocks.17.img_mod.lin.weight
|
229 |
+
double_blocks.17.txt_attn.norm.key_norm.scale
|
230 |
+
double_blocks.17.txt_attn.norm.query_norm.scale
|
231 |
+
double_blocks.17.txt_attn.proj.bias
|
232 |
+
double_blocks.17.txt_attn.proj.weight
|
233 |
+
double_blocks.17.txt_attn.qkv.bias
|
234 |
+
double_blocks.17.txt_attn.qkv.weight
|
235 |
+
double_blocks.17.txt_mlp.0.bias
|
236 |
+
double_blocks.17.txt_mlp.0.weight
|
237 |
+
double_blocks.17.txt_mlp.2.bias
|
238 |
+
double_blocks.17.txt_mlp.2.weight
|
239 |
+
double_blocks.17.txt_mod.lin.bias
|
240 |
+
double_blocks.17.txt_mod.lin.weight
|
241 |
+
double_blocks.18.img_attn.norm.key_norm.scale
|
242 |
+
double_blocks.18.img_attn.norm.query_norm.scale
|
243 |
+
double_blocks.18.img_attn.proj.bias
|
244 |
+
double_blocks.18.img_attn.proj.weight
|
245 |
+
double_blocks.18.img_attn.qkv.bias
|
246 |
+
double_blocks.18.img_attn.qkv.weight
|
247 |
+
double_blocks.18.img_mlp.0.bias
|
248 |
+
double_blocks.18.img_mlp.0.weight
|
249 |
+
double_blocks.18.img_mlp.2.bias
|
250 |
+
double_blocks.18.img_mlp.2.weight
|
251 |
+
double_blocks.18.img_mod.lin.bias
|
252 |
+
double_blocks.18.img_mod.lin.weight
|
253 |
+
double_blocks.18.txt_attn.norm.key_norm.scale
|
254 |
+
double_blocks.18.txt_attn.norm.query_norm.scale
|
255 |
+
double_blocks.18.txt_attn.proj.bias
|
256 |
+
double_blocks.18.txt_attn.proj.weight
|
257 |
+
double_blocks.18.txt_attn.qkv.bias
|
258 |
+
double_blocks.18.txt_attn.qkv.weight
|
259 |
+
double_blocks.18.txt_mlp.0.bias
|
260 |
+
double_blocks.18.txt_mlp.0.weight
|
261 |
+
double_blocks.18.txt_mlp.2.bias
|
262 |
+
double_blocks.18.txt_mlp.2.weight
|
263 |
+
double_blocks.18.txt_mod.lin.bias
|
264 |
+
double_blocks.18.txt_mod.lin.weight
|
265 |
+
double_blocks.2.img_attn.norm.key_norm.scale
|
266 |
+
double_blocks.2.img_attn.norm.query_norm.scale
|
267 |
+
double_blocks.2.img_attn.proj.bias
|
268 |
+
double_blocks.2.img_attn.proj.weight
|
269 |
+
double_blocks.2.img_attn.qkv.bias
|
270 |
+
double_blocks.2.img_attn.qkv.weight
|
271 |
+
double_blocks.2.img_mlp.0.bias
|
272 |
+
double_blocks.2.img_mlp.0.weight
|
273 |
+
double_blocks.2.img_mlp.2.bias
|
274 |
+
double_blocks.2.img_mlp.2.weight
|
275 |
+
double_blocks.2.img_mod.lin.bias
|
276 |
+
double_blocks.2.img_mod.lin.weight
|
277 |
+
double_blocks.2.txt_attn.norm.key_norm.scale
|
278 |
+
double_blocks.2.txt_attn.norm.query_norm.scale
|
279 |
+
double_blocks.2.txt_attn.proj.bias
|
280 |
+
double_blocks.2.txt_attn.proj.weight
|
281 |
+
double_blocks.2.txt_attn.qkv.bias
|
282 |
+
double_blocks.2.txt_attn.qkv.weight
|
283 |
+
double_blocks.2.txt_mlp.0.bias
|
284 |
+
double_blocks.2.txt_mlp.0.weight
|
285 |
+
double_blocks.2.txt_mlp.2.bias
|
286 |
+
double_blocks.2.txt_mlp.2.weight
|
287 |
+
double_blocks.2.txt_mod.lin.bias
|
288 |
+
double_blocks.2.txt_mod.lin.weight
|
289 |
+
double_blocks.3.img_attn.norm.key_norm.scale
|
290 |
+
double_blocks.3.img_attn.norm.query_norm.scale
|
291 |
+
double_blocks.3.img_attn.proj.bias
|
292 |
+
double_blocks.3.img_attn.proj.weight
|
293 |
+
double_blocks.3.img_attn.qkv.bias
|
294 |
+
double_blocks.3.img_attn.qkv.weight
|
295 |
+
double_blocks.3.img_mlp.0.bias
|
296 |
+
double_blocks.3.img_mlp.0.weight
|
297 |
+
double_blocks.3.img_mlp.2.bias
|
298 |
+
double_blocks.3.img_mlp.2.weight
|
299 |
+
double_blocks.3.img_mod.lin.bias
|
300 |
+
double_blocks.3.img_mod.lin.weight
|
301 |
+
double_blocks.3.txt_attn.norm.key_norm.scale
|
302 |
+
double_blocks.3.txt_attn.norm.query_norm.scale
|
303 |
+
double_blocks.3.txt_attn.proj.bias
|
304 |
+
double_blocks.3.txt_attn.proj.weight
|
305 |
+
double_blocks.3.txt_attn.qkv.bias
|
306 |
+
double_blocks.3.txt_attn.qkv.weight
|
307 |
+
double_blocks.3.txt_mlp.0.bias
|
308 |
+
double_blocks.3.txt_mlp.0.weight
|
309 |
+
double_blocks.3.txt_mlp.2.bias
|
310 |
+
double_blocks.3.txt_mlp.2.weight
|
311 |
+
double_blocks.3.txt_mod.lin.bias
|
312 |
+
double_blocks.3.txt_mod.lin.weight
|
313 |
+
double_blocks.4.img_attn.norm.key_norm.scale
|
314 |
+
double_blocks.4.img_attn.norm.query_norm.scale
|
315 |
+
double_blocks.4.img_attn.proj.bias
|
316 |
+
double_blocks.4.img_attn.proj.weight
|
317 |
+
double_blocks.4.img_attn.qkv.bias
|
318 |
+
double_blocks.4.img_attn.qkv.weight
|
319 |
+
double_blocks.4.img_mlp.0.bias
|
320 |
+
double_blocks.4.img_mlp.0.weight
|
321 |
+
double_blocks.4.img_mlp.2.bias
|
322 |
+
double_blocks.4.img_mlp.2.weight
|
323 |
+
double_blocks.4.img_mod.lin.bias
|
324 |
+
double_blocks.4.img_mod.lin.weight
|
325 |
+
double_blocks.4.txt_attn.norm.key_norm.scale
|
326 |
+
double_blocks.4.txt_attn.norm.query_norm.scale
|
327 |
+
double_blocks.4.txt_attn.proj.bias
|
328 |
+
double_blocks.4.txt_attn.proj.weight
|
329 |
+
double_blocks.4.txt_attn.qkv.bias
|
330 |
+
double_blocks.4.txt_attn.qkv.weight
|
331 |
+
double_blocks.4.txt_mlp.0.bias
|
332 |
+
double_blocks.4.txt_mlp.0.weight
|
333 |
+
double_blocks.4.txt_mlp.2.bias
|
334 |
+
double_blocks.4.txt_mlp.2.weight
|
335 |
+
double_blocks.4.txt_mod.lin.bias
|
336 |
+
double_blocks.4.txt_mod.lin.weight
|
337 |
+
double_blocks.5.img_attn.norm.key_norm.scale
|
338 |
+
double_blocks.5.img_attn.norm.query_norm.scale
|
339 |
+
double_blocks.5.img_attn.proj.bias
|
340 |
+
double_blocks.5.img_attn.proj.weight
|
341 |
+
double_blocks.5.img_attn.qkv.bias
|
342 |
+
double_blocks.5.img_attn.qkv.weight
|
343 |
+
double_blocks.5.img_mlp.0.bias
|
344 |
+
double_blocks.5.img_mlp.0.weight
|
345 |
+
double_blocks.5.img_mlp.2.bias
|
346 |
+
double_blocks.5.img_mlp.2.weight
|
347 |
+
double_blocks.5.img_mod.lin.bias
|
348 |
+
double_blocks.5.img_mod.lin.weight
|
349 |
+
double_blocks.5.txt_attn.norm.key_norm.scale
|
350 |
+
double_blocks.5.txt_attn.norm.query_norm.scale
|
351 |
+
double_blocks.5.txt_attn.proj.bias
|
352 |
+
double_blocks.5.txt_attn.proj.weight
|
353 |
+
double_blocks.5.txt_attn.qkv.bias
|
354 |
+
double_blocks.5.txt_attn.qkv.weight
|
355 |
+
double_blocks.5.txt_mlp.0.bias
|
356 |
+
double_blocks.5.txt_mlp.0.weight
|
357 |
+
double_blocks.5.txt_mlp.2.bias
|
358 |
+
double_blocks.5.txt_mlp.2.weight
|
359 |
+
double_blocks.5.txt_mod.lin.bias
|
360 |
+
double_blocks.5.txt_mod.lin.weight
|
361 |
+
double_blocks.6.img_attn.norm.key_norm.scale
|
362 |
+
double_blocks.6.img_attn.norm.query_norm.scale
|
363 |
+
double_blocks.6.img_attn.proj.bias
|
364 |
+
double_blocks.6.img_attn.proj.weight
|
365 |
+
double_blocks.6.img_attn.qkv.bias
|
366 |
+
double_blocks.6.img_attn.qkv.weight
|
367 |
+
double_blocks.6.img_mlp.0.bias
|
368 |
+
double_blocks.6.img_mlp.0.weight
|
369 |
+
double_blocks.6.img_mlp.2.bias
|
370 |
+
double_blocks.6.img_mlp.2.weight
|
371 |
+
double_blocks.6.img_mod.lin.bias
|
372 |
+
double_blocks.6.img_mod.lin.weight
|
373 |
+
double_blocks.6.txt_attn.norm.key_norm.scale
|
374 |
+
double_blocks.6.txt_attn.norm.query_norm.scale
|
375 |
+
double_blocks.6.txt_attn.proj.bias
|
376 |
+
double_blocks.6.txt_attn.proj.weight
|
377 |
+
double_blocks.6.txt_attn.qkv.bias
|
378 |
+
double_blocks.6.txt_attn.qkv.weight
|
379 |
+
double_blocks.6.txt_mlp.0.bias
|
380 |
+
double_blocks.6.txt_mlp.0.weight
|
381 |
+
double_blocks.6.txt_mlp.2.bias
|
382 |
+
double_blocks.6.txt_mlp.2.weight
|
383 |
+
double_blocks.6.txt_mod.lin.bias
|
384 |
+
double_blocks.6.txt_mod.lin.weight
|
385 |
+
double_blocks.7.img_attn.norm.key_norm.scale
|
386 |
+
double_blocks.7.img_attn.norm.query_norm.scale
|
387 |
+
double_blocks.7.img_attn.proj.bias
|
388 |
+
double_blocks.7.img_attn.proj.weight
|
389 |
+
double_blocks.7.img_attn.qkv.bias
|
390 |
+
double_blocks.7.img_attn.qkv.weight
|
391 |
+
double_blocks.7.img_mlp.0.bias
|
392 |
+
double_blocks.7.img_mlp.0.weight
|
393 |
+
double_blocks.7.img_mlp.2.bias
|
394 |
+
double_blocks.7.img_mlp.2.weight
|
395 |
+
double_blocks.7.img_mod.lin.bias
|
396 |
+
double_blocks.7.img_mod.lin.weight
|
397 |
+
double_blocks.7.txt_attn.norm.key_norm.scale
|
398 |
+
double_blocks.7.txt_attn.norm.query_norm.scale
|
399 |
+
double_blocks.7.txt_attn.proj.bias
|
400 |
+
double_blocks.7.txt_attn.proj.weight
|
401 |
+
double_blocks.7.txt_attn.qkv.bias
|
402 |
+
double_blocks.7.txt_attn.qkv.weight
|
403 |
+
double_blocks.7.txt_mlp.0.bias
|
404 |
+
double_blocks.7.txt_mlp.0.weight
|
405 |
+
double_blocks.7.txt_mlp.2.bias
|
406 |
+
double_blocks.7.txt_mlp.2.weight
|
407 |
+
double_blocks.7.txt_mod.lin.bias
|
408 |
+
double_blocks.7.txt_mod.lin.weight
|
409 |
+
double_blocks.8.img_attn.norm.key_norm.scale
|
410 |
+
double_blocks.8.img_attn.norm.query_norm.scale
|
411 |
+
double_blocks.8.img_attn.proj.bias
|
412 |
+
double_blocks.8.img_attn.proj.weight
|
413 |
+
double_blocks.8.img_attn.qkv.bias
|
414 |
+
double_blocks.8.img_attn.qkv.weight
|
415 |
+
double_blocks.8.img_mlp.0.bias
|
416 |
+
double_blocks.8.img_mlp.0.weight
|
417 |
+
double_blocks.8.img_mlp.2.bias
|
418 |
+
double_blocks.8.img_mlp.2.weight
|
419 |
+
double_blocks.8.img_mod.lin.bias
|
420 |
+
double_blocks.8.img_mod.lin.weight
|
421 |
+
double_blocks.8.txt_attn.norm.key_norm.scale
|
422 |
+
double_blocks.8.txt_attn.norm.query_norm.scale
|
423 |
+
double_blocks.8.txt_attn.proj.bias
|
424 |
+
double_blocks.8.txt_attn.proj.weight
|
425 |
+
double_blocks.8.txt_attn.qkv.bias
|
426 |
+
double_blocks.8.txt_attn.qkv.weight
|
427 |
+
double_blocks.8.txt_mlp.0.bias
|
428 |
+
double_blocks.8.txt_mlp.0.weight
|
429 |
+
double_blocks.8.txt_mlp.2.bias
|
430 |
+
double_blocks.8.txt_mlp.2.weight
|
431 |
+
double_blocks.8.txt_mod.lin.bias
|
432 |
+
double_blocks.8.txt_mod.lin.weight
|
433 |
+
double_blocks.9.img_attn.norm.key_norm.scale
|
434 |
+
double_blocks.9.img_attn.norm.query_norm.scale
|
435 |
+
double_blocks.9.img_attn.proj.bias
|
436 |
+
double_blocks.9.img_attn.proj.weight
|
437 |
+
double_blocks.9.img_attn.qkv.bias
|
438 |
+
double_blocks.9.img_attn.qkv.weight
|
439 |
+
double_blocks.9.img_mlp.0.bias
|
440 |
+
double_blocks.9.img_mlp.0.weight
|
441 |
+
double_blocks.9.img_mlp.2.bias
|
442 |
+
double_blocks.9.img_mlp.2.weight
|
443 |
+
double_blocks.9.img_mod.lin.bias
|
444 |
+
double_blocks.9.img_mod.lin.weight
|
445 |
+
double_blocks.9.txt_attn.norm.key_norm.scale
|
446 |
+
double_blocks.9.txt_attn.norm.query_norm.scale
|
447 |
+
double_blocks.9.txt_attn.proj.bias
|
448 |
+
double_blocks.9.txt_attn.proj.weight
|
449 |
+
double_blocks.9.txt_attn.qkv.bias
|
450 |
+
double_blocks.9.txt_attn.qkv.weight
|
451 |
+
double_blocks.9.txt_mlp.0.bias
|
452 |
+
double_blocks.9.txt_mlp.0.weight
|
453 |
+
double_blocks.9.txt_mlp.2.bias
|
454 |
+
double_blocks.9.txt_mlp.2.weight
|
455 |
+
double_blocks.9.txt_mod.lin.bias
|
456 |
+
double_blocks.9.txt_mod.lin.weight
|
457 |
+
final_layer.adaLN_modulation.1.bias
|
458 |
+
final_layer.adaLN_modulation.1.weight
|
459 |
+
final_layer.linear.bias
|
460 |
+
final_layer.linear.weight
|
461 |
+
guidance_in.in_layer.bias
|
462 |
+
guidance_in.in_layer.weight
|
463 |
+
guidance_in.out_layer.bias
|
464 |
+
guidance_in.out_layer.weight
|
465 |
+
img_in.bias
|
466 |
+
img_in.weight
|
467 |
+
single_blocks.0.linear1.bias
|
468 |
+
single_blocks.0.linear1.weight
|
469 |
+
single_blocks.0.linear2.bias
|
470 |
+
single_blocks.0.linear2.weight
|
471 |
+
single_blocks.0.modulation.lin.bias
|
472 |
+
single_blocks.0.modulation.lin.weight
|
473 |
+
single_blocks.0.norm.key_norm.scale
|
474 |
+
single_blocks.0.norm.query_norm.scale
|
475 |
+
single_blocks.1.linear1.bias
|
476 |
+
single_blocks.1.linear1.weight
|
477 |
+
single_blocks.1.linear2.bias
|
478 |
+
single_blocks.1.linear2.weight
|
479 |
+
single_blocks.1.modulation.lin.bias
|
480 |
+
single_blocks.1.modulation.lin.weight
|
481 |
+
single_blocks.1.norm.key_norm.scale
|
482 |
+
single_blocks.1.norm.query_norm.scale
|
483 |
+
single_blocks.10.linear1.bias
|
484 |
+
single_blocks.10.linear1.weight
|
485 |
+
single_blocks.10.linear2.bias
|
486 |
+
single_blocks.10.linear2.weight
|
487 |
+
single_blocks.10.modulation.lin.bias
|
488 |
+
single_blocks.10.modulation.lin.weight
|
489 |
+
single_blocks.10.norm.key_norm.scale
|
490 |
+
single_blocks.10.norm.query_norm.scale
|
491 |
+
single_blocks.11.linear1.bias
|
492 |
+
single_blocks.11.linear1.weight
|
493 |
+
single_blocks.11.linear2.bias
|
494 |
+
single_blocks.11.linear2.weight
|
495 |
+
single_blocks.11.modulation.lin.bias
|
496 |
+
single_blocks.11.modulation.lin.weight
|
497 |
+
single_blocks.11.norm.key_norm.scale
|
498 |
+
single_blocks.11.norm.query_norm.scale
|
499 |
+
single_blocks.12.linear1.bias
|
500 |
+
single_blocks.12.linear1.weight
|
501 |
+
single_blocks.12.linear2.bias
|
502 |
+
single_blocks.12.linear2.weight
|
503 |
+
single_blocks.12.modulation.lin.bias
|
504 |
+
single_blocks.12.modulation.lin.weight
|
505 |
+
single_blocks.12.norm.key_norm.scale
|
506 |
+
single_blocks.12.norm.query_norm.scale
|
507 |
+
single_blocks.13.linear1.bias
|
508 |
+
single_blocks.13.linear1.weight
|
509 |
+
single_blocks.13.linear2.bias
|
510 |
+
single_blocks.13.linear2.weight
|
511 |
+
single_blocks.13.modulation.lin.bias
|
512 |
+
single_blocks.13.modulation.lin.weight
|
513 |
+
single_blocks.13.norm.key_norm.scale
|
514 |
+
single_blocks.13.norm.query_norm.scale
|
515 |
+
single_blocks.14.linear1.bias
|
516 |
+
single_blocks.14.linear1.weight
|
517 |
+
single_blocks.14.linear2.bias
|
518 |
+
single_blocks.14.linear2.weight
|
519 |
+
single_blocks.14.modulation.lin.bias
|
520 |
+
single_blocks.14.modulation.lin.weight
|
521 |
+
single_blocks.14.norm.key_norm.scale
|
522 |
+
single_blocks.14.norm.query_norm.scale
|
523 |
+
single_blocks.15.linear1.bias
|
524 |
+
single_blocks.15.linear1.weight
|
525 |
+
single_blocks.15.linear2.bias
|
526 |
+
single_blocks.15.linear2.weight
|
527 |
+
single_blocks.15.modulation.lin.bias
|
528 |
+
single_blocks.15.modulation.lin.weight
|
529 |
+
single_blocks.15.norm.key_norm.scale
|
530 |
+
single_blocks.15.norm.query_norm.scale
|
531 |
+
single_blocks.16.linear1.bias
|
532 |
+
single_blocks.16.linear1.weight
|
533 |
+
single_blocks.16.linear2.bias
|
534 |
+
single_blocks.16.linear2.weight
|
535 |
+
single_blocks.16.modulation.lin.bias
|
536 |
+
single_blocks.16.modulation.lin.weight
|
537 |
+
single_blocks.16.norm.key_norm.scale
|
538 |
+
single_blocks.16.norm.query_norm.scale
|
539 |
+
single_blocks.17.linear1.bias
|
540 |
+
single_blocks.17.linear1.weight
|
541 |
+
single_blocks.17.linear2.bias
|
542 |
+
single_blocks.17.linear2.weight
|
543 |
+
single_blocks.17.modulation.lin.bias
|
544 |
+
single_blocks.17.modulation.lin.weight
|
545 |
+
single_blocks.17.norm.key_norm.scale
|
546 |
+
single_blocks.17.norm.query_norm.scale
|
547 |
+
single_blocks.18.linear1.bias
|
548 |
+
single_blocks.18.linear1.weight
|
549 |
+
single_blocks.18.linear2.bias
|
550 |
+
single_blocks.18.linear2.weight
|
551 |
+
single_blocks.18.modulation.lin.bias
|
552 |
+
single_blocks.18.modulation.lin.weight
|
553 |
+
single_blocks.18.norm.key_norm.scale
|
554 |
+
single_blocks.18.norm.query_norm.scale
|
555 |
+
single_blocks.19.linear1.bias
|
556 |
+
single_blocks.19.linear1.weight
|
557 |
+
single_blocks.19.linear2.bias
|
558 |
+
single_blocks.19.linear2.weight
|
559 |
+
single_blocks.19.modulation.lin.bias
|
560 |
+
single_blocks.19.modulation.lin.weight
|
561 |
+
single_blocks.19.norm.key_norm.scale
|
562 |
+
single_blocks.19.norm.query_norm.scale
|
563 |
+
single_blocks.2.linear1.bias
|
564 |
+
single_blocks.2.linear1.weight
|
565 |
+
single_blocks.2.linear2.bias
|
566 |
+
single_blocks.2.linear2.weight
|
567 |
+
single_blocks.2.modulation.lin.bias
|
568 |
+
single_blocks.2.modulation.lin.weight
|
569 |
+
single_blocks.2.norm.key_norm.scale
|
570 |
+
single_blocks.2.norm.query_norm.scale
|
571 |
+
single_blocks.20.linear1.bias
|
572 |
+
single_blocks.20.linear1.weight
|
573 |
+
single_blocks.20.linear2.bias
|
574 |
+
single_blocks.20.linear2.weight
|
575 |
+
single_blocks.20.modulation.lin.bias
|
576 |
+
single_blocks.20.modulation.lin.weight
|
577 |
+
single_blocks.20.norm.key_norm.scale
|
578 |
+
single_blocks.20.norm.query_norm.scale
|
579 |
+
single_blocks.21.linear1.bias
|
580 |
+
single_blocks.21.linear1.weight
|
581 |
+
single_blocks.21.linear2.bias
|
582 |
+
single_blocks.21.linear2.weight
|
583 |
+
single_blocks.21.modulation.lin.bias
|
584 |
+
single_blocks.21.modulation.lin.weight
|
585 |
+
single_blocks.21.norm.key_norm.scale
|
586 |
+
single_blocks.21.norm.query_norm.scale
|
587 |
+
single_blocks.22.linear1.bias
|
588 |
+
single_blocks.22.linear1.weight
|
589 |
+
single_blocks.22.linear2.bias
|
590 |
+
single_blocks.22.linear2.weight
|
591 |
+
single_blocks.22.modulation.lin.bias
|
592 |
+
single_blocks.22.modulation.lin.weight
|
593 |
+
single_blocks.22.norm.key_norm.scale
|
594 |
+
single_blocks.22.norm.query_norm.scale
|
595 |
+
single_blocks.23.linear1.bias
|
596 |
+
single_blocks.23.linear1.weight
|
597 |
+
single_blocks.23.linear2.bias
|
598 |
+
single_blocks.23.linear2.weight
|
599 |
+
single_blocks.23.modulation.lin.bias
|
600 |
+
single_blocks.23.modulation.lin.weight
|
601 |
+
single_blocks.23.norm.key_norm.scale
|
602 |
+
single_blocks.23.norm.query_norm.scale
|
603 |
+
single_blocks.24.linear1.bias
|
604 |
+
single_blocks.24.linear1.weight
|
605 |
+
single_blocks.24.linear2.bias
|
606 |
+
single_blocks.24.linear2.weight
|
607 |
+
single_blocks.24.modulation.lin.bias
|
608 |
+
single_blocks.24.modulation.lin.weight
|
609 |
+
single_blocks.24.norm.key_norm.scale
|
610 |
+
single_blocks.24.norm.query_norm.scale
|
611 |
+
single_blocks.25.linear1.bias
|
612 |
+
single_blocks.25.linear1.weight
|
613 |
+
single_blocks.25.linear2.bias
|
614 |
+
single_blocks.25.linear2.weight
|
615 |
+
single_blocks.25.modulation.lin.bias
|
616 |
+
single_blocks.25.modulation.lin.weight
|
617 |
+
single_blocks.25.norm.key_norm.scale
|
618 |
+
single_blocks.25.norm.query_norm.scale
|
619 |
+
single_blocks.26.linear1.bias
|
620 |
+
single_blocks.26.linear1.weight
|
621 |
+
single_blocks.26.linear2.bias
|
622 |
+
single_blocks.26.linear2.weight
|
623 |
+
single_blocks.26.modulation.lin.bias
|
624 |
+
single_blocks.26.modulation.lin.weight
|
625 |
+
single_blocks.26.norm.key_norm.scale
|
626 |
+
single_blocks.26.norm.query_norm.scale
|
627 |
+
single_blocks.27.linear1.bias
|
628 |
+
single_blocks.27.linear1.weight
|
629 |
+
single_blocks.27.linear2.bias
|
630 |
+
single_blocks.27.linear2.weight
|
631 |
+
single_blocks.27.modulation.lin.bias
|
632 |
+
single_blocks.27.modulation.lin.weight
|
633 |
+
single_blocks.27.norm.key_norm.scale
|
634 |
+
single_blocks.27.norm.query_norm.scale
|
635 |
+
single_blocks.28.linear1.bias
|
636 |
+
single_blocks.28.linear1.weight
|
637 |
+
single_blocks.28.linear2.bias
|
638 |
+
single_blocks.28.linear2.weight
|
639 |
+
single_blocks.28.modulation.lin.bias
|
640 |
+
single_blocks.28.modulation.lin.weight
|
641 |
+
single_blocks.28.norm.key_norm.scale
|
642 |
+
single_blocks.28.norm.query_norm.scale
|
643 |
+
single_blocks.29.linear1.bias
|
644 |
+
single_blocks.29.linear1.weight
|
645 |
+
single_blocks.29.linear2.bias
|
646 |
+
single_blocks.29.linear2.weight
|
647 |
+
single_blocks.29.modulation.lin.bias
|
648 |
+
single_blocks.29.modulation.lin.weight
|
649 |
+
single_blocks.29.norm.key_norm.scale
|
650 |
+
single_blocks.29.norm.query_norm.scale
|
651 |
+
single_blocks.3.linear1.bias
|
652 |
+
single_blocks.3.linear1.weight
|
653 |
+
single_blocks.3.linear2.bias
|
654 |
+
single_blocks.3.linear2.weight
|
655 |
+
single_blocks.3.modulation.lin.bias
|
656 |
+
single_blocks.3.modulation.lin.weight
|
657 |
+
single_blocks.3.norm.key_norm.scale
|
658 |
+
single_blocks.3.norm.query_norm.scale
|
659 |
+
single_blocks.30.linear1.bias
|
660 |
+
single_blocks.30.linear1.weight
|
661 |
+
single_blocks.30.linear2.bias
|
662 |
+
single_blocks.30.linear2.weight
|
663 |
+
single_blocks.30.modulation.lin.bias
|
664 |
+
single_blocks.30.modulation.lin.weight
|
665 |
+
single_blocks.30.norm.key_norm.scale
|
666 |
+
single_blocks.30.norm.query_norm.scale
|
667 |
+
single_blocks.31.linear1.bias
|
668 |
+
single_blocks.31.linear1.weight
|
669 |
+
single_blocks.31.linear2.bias
|
670 |
+
single_blocks.31.linear2.weight
|
671 |
+
single_blocks.31.modulation.lin.bias
|
672 |
+
single_blocks.31.modulation.lin.weight
|
673 |
+
single_blocks.31.norm.key_norm.scale
|
674 |
+
single_blocks.31.norm.query_norm.scale
|
675 |
+
single_blocks.32.linear1.bias
|
676 |
+
single_blocks.32.linear1.weight
|
677 |
+
single_blocks.32.linear2.bias
|
678 |
+
single_blocks.32.linear2.weight
|
679 |
+
single_blocks.32.modulation.lin.bias
|
680 |
+
single_blocks.32.modulation.lin.weight
|
681 |
+
single_blocks.32.norm.key_norm.scale
|
682 |
+
single_blocks.32.norm.query_norm.scale
|
683 |
+
single_blocks.33.linear1.bias
|
684 |
+
single_blocks.33.linear1.weight
|
685 |
+
single_blocks.33.linear2.bias
|
686 |
+
single_blocks.33.linear2.weight
|
687 |
+
single_blocks.33.modulation.lin.bias
|
688 |
+
single_blocks.33.modulation.lin.weight
|
689 |
+
single_blocks.33.norm.key_norm.scale
|
690 |
+
single_blocks.33.norm.query_norm.scale
|
691 |
+
single_blocks.34.linear1.bias
|
692 |
+
single_blocks.34.linear1.weight
|
693 |
+
single_blocks.34.linear2.bias
|
694 |
+
single_blocks.34.linear2.weight
|
695 |
+
single_blocks.34.modulation.lin.bias
|
696 |
+
single_blocks.34.modulation.lin.weight
|
697 |
+
single_blocks.34.norm.key_norm.scale
|
698 |
+
single_blocks.34.norm.query_norm.scale
|
699 |
+
single_blocks.35.linear1.bias
|
700 |
+
single_blocks.35.linear1.weight
|
701 |
+
single_blocks.35.linear2.bias
|
702 |
+
single_blocks.35.linear2.weight
|
703 |
+
single_blocks.35.modulation.lin.bias
|
704 |
+
single_blocks.35.modulation.lin.weight
|
705 |
+
single_blocks.35.norm.key_norm.scale
|
706 |
+
single_blocks.35.norm.query_norm.scale
|
707 |
+
single_blocks.36.linear1.bias
|
708 |
+
single_blocks.36.linear1.weight
|
709 |
+
single_blocks.36.linear2.bias
|
710 |
+
single_blocks.36.linear2.weight
|
711 |
+
single_blocks.36.modulation.lin.bias
|
712 |
+
single_blocks.36.modulation.lin.weight
|
713 |
+
single_blocks.36.norm.key_norm.scale
|
714 |
+
single_blocks.36.norm.query_norm.scale
|
715 |
+
single_blocks.37.linear1.bias
|
716 |
+
single_blocks.37.linear1.weight
|
717 |
+
single_blocks.37.linear2.bias
|
718 |
+
single_blocks.37.linear2.weight
|
719 |
+
single_blocks.37.modulation.lin.bias
|
720 |
+
single_blocks.37.modulation.lin.weight
|
721 |
+
single_blocks.37.norm.key_norm.scale
|
722 |
+
single_blocks.37.norm.query_norm.scale
|
723 |
+
single_blocks.4.linear1.bias
|
724 |
+
single_blocks.4.linear1.weight
|
725 |
+
single_blocks.4.linear2.bias
|
726 |
+
single_blocks.4.linear2.weight
|
727 |
+
single_blocks.4.modulation.lin.bias
|
728 |
+
single_blocks.4.modulation.lin.weight
|
729 |
+
single_blocks.4.norm.key_norm.scale
|
730 |
+
single_blocks.4.norm.query_norm.scale
|
731 |
+
single_blocks.5.linear1.bias
|
732 |
+
single_blocks.5.linear1.weight
|
733 |
+
single_blocks.5.linear2.bias
|
734 |
+
single_blocks.5.linear2.weight
|
735 |
+
single_blocks.5.modulation.lin.bias
|
736 |
+
single_blocks.5.modulation.lin.weight
|
737 |
+
single_blocks.5.norm.key_norm.scale
|
738 |
+
single_blocks.5.norm.query_norm.scale
|
739 |
+
single_blocks.6.linear1.bias
|
740 |
+
single_blocks.6.linear1.weight
|
741 |
+
single_blocks.6.linear2.bias
|
742 |
+
single_blocks.6.linear2.weight
|
743 |
+
single_blocks.6.modulation.lin.bias
|
744 |
+
single_blocks.6.modulation.lin.weight
|
745 |
+
single_blocks.6.norm.key_norm.scale
|
746 |
+
single_blocks.6.norm.query_norm.scale
|
747 |
+
single_blocks.7.linear1.bias
|
748 |
+
single_blocks.7.linear1.weight
|
749 |
+
single_blocks.7.linear2.bias
|
750 |
+
single_blocks.7.linear2.weight
|
751 |
+
single_blocks.7.modulation.lin.bias
|
752 |
+
single_blocks.7.modulation.lin.weight
|
753 |
+
single_blocks.7.norm.key_norm.scale
|
754 |
+
single_blocks.7.norm.query_norm.scale
|
755 |
+
single_blocks.8.linear1.bias
|
756 |
+
single_blocks.8.linear1.weight
|
757 |
+
single_blocks.8.linear2.bias
|
758 |
+
single_blocks.8.linear2.weight
|
759 |
+
single_blocks.8.modulation.lin.bias
|
760 |
+
single_blocks.8.modulation.lin.weight
|
761 |
+
single_blocks.8.norm.key_norm.scale
|
762 |
+
single_blocks.8.norm.query_norm.scale
|
763 |
+
single_blocks.9.linear1.bias
|
764 |
+
single_blocks.9.linear1.weight
|
765 |
+
single_blocks.9.linear2.bias
|
766 |
+
single_blocks.9.linear2.weight
|
767 |
+
single_blocks.9.modulation.lin.bias
|
768 |
+
single_blocks.9.modulation.lin.weight
|
769 |
+
single_blocks.9.norm.key_norm.scale
|
770 |
+
single_blocks.9.norm.query_norm.scale
|
771 |
+
time_in.in_layer.bias
|
772 |
+
time_in.in_layer.weight
|
773 |
+
time_in.out_layer.bias
|
774 |
+
time_in.out_layer.weight
|
775 |
+
txt_in.bias
|
776 |
+
txt_in.weight
|
777 |
+
vector_in.in_layer.bias
|
778 |
+
vector_in.in_layer.weight
|
779 |
+
vector_in.out_layer.bias
|
780 |
+
vector_in.out_layer.weight
|
keys/sd15_diffusers_keys.txt
ADDED
@@ -0,0 +1,686 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
conv_in.bias
|
2 |
+
conv_in.weight
|
3 |
+
conv_norm_out.bias
|
4 |
+
conv_norm_out.weight
|
5 |
+
conv_out.bias
|
6 |
+
conv_out.weight
|
7 |
+
down_blocks.0.attentions.0.norm.bias
|
8 |
+
down_blocks.0.attentions.0.norm.weight
|
9 |
+
down_blocks.0.attentions.0.proj_in.bias
|
10 |
+
down_blocks.0.attentions.0.proj_in.weight
|
11 |
+
down_blocks.0.attentions.0.proj_out.bias
|
12 |
+
down_blocks.0.attentions.0.proj_out.weight
|
13 |
+
down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k.weight
|
14 |
+
down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.bias
|
15 |
+
down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.weight
|
16 |
+
down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight
|
17 |
+
down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.weight
|
18 |
+
down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight
|
19 |
+
down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.bias
|
20 |
+
down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.weight
|
21 |
+
down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_q.weight
|
22 |
+
down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight
|
23 |
+
down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.bias
|
24 |
+
down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.weight
|
25 |
+
down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.bias
|
26 |
+
down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight
|
27 |
+
down_blocks.0.attentions.0.transformer_blocks.0.norm1.bias
|
28 |
+
down_blocks.0.attentions.0.transformer_blocks.0.norm1.weight
|
29 |
+
down_blocks.0.attentions.0.transformer_blocks.0.norm2.bias
|
30 |
+
down_blocks.0.attentions.0.transformer_blocks.0.norm2.weight
|
31 |
+
down_blocks.0.attentions.0.transformer_blocks.0.norm3.bias
|
32 |
+
down_blocks.0.attentions.0.transformer_blocks.0.norm3.weight
|
33 |
+
down_blocks.0.attentions.1.norm.bias
|
34 |
+
down_blocks.0.attentions.1.norm.weight
|
35 |
+
down_blocks.0.attentions.1.proj_in.bias
|
36 |
+
down_blocks.0.attentions.1.proj_in.weight
|
37 |
+
down_blocks.0.attentions.1.proj_out.bias
|
38 |
+
down_blocks.0.attentions.1.proj_out.weight
|
39 |
+
down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_k.weight
|
40 |
+
down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0.bias
|
41 |
+
down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0.weight
|
42 |
+
down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_q.weight
|
43 |
+
down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_v.weight
|
44 |
+
down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.weight
|
45 |
+
down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0.bias
|
46 |
+
down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0.weight
|
47 |
+
down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q.weight
|
48 |
+
down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v.weight
|
49 |
+
down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0.proj.bias
|
50 |
+
down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0.proj.weight
|
51 |
+
down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.bias
|
52 |
+
down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2.weight
|
53 |
+
down_blocks.0.attentions.1.transformer_blocks.0.norm1.bias
|
54 |
+
down_blocks.0.attentions.1.transformer_blocks.0.norm1.weight
|
55 |
+
down_blocks.0.attentions.1.transformer_blocks.0.norm2.bias
|
56 |
+
down_blocks.0.attentions.1.transformer_blocks.0.norm2.weight
|
57 |
+
down_blocks.0.attentions.1.transformer_blocks.0.norm3.bias
|
58 |
+
down_blocks.0.attentions.1.transformer_blocks.0.norm3.weight
|
59 |
+
down_blocks.0.downsamplers.0.conv.bias
|
60 |
+
down_blocks.0.downsamplers.0.conv.weight
|
61 |
+
down_blocks.0.resnets.0.conv1.bias
|
62 |
+
down_blocks.0.resnets.0.conv1.weight
|
63 |
+
down_blocks.0.resnets.0.conv2.bias
|
64 |
+
down_blocks.0.resnets.0.conv2.weight
|
65 |
+
down_blocks.0.resnets.0.norm1.bias
|
66 |
+
down_blocks.0.resnets.0.norm1.weight
|
67 |
+
down_blocks.0.resnets.0.norm2.bias
|
68 |
+
down_blocks.0.resnets.0.norm2.weight
|
69 |
+
down_blocks.0.resnets.0.time_emb_proj.bias
|
70 |
+
down_blocks.0.resnets.0.time_emb_proj.weight
|
71 |
+
down_blocks.0.resnets.1.conv1.bias
|
72 |
+
down_blocks.0.resnets.1.conv1.weight
|
73 |
+
down_blocks.0.resnets.1.conv2.bias
|
74 |
+
down_blocks.0.resnets.1.conv2.weight
|
75 |
+
down_blocks.0.resnets.1.norm1.bias
|
76 |
+
down_blocks.0.resnets.1.norm1.weight
|
77 |
+
down_blocks.0.resnets.1.norm2.bias
|
78 |
+
down_blocks.0.resnets.1.norm2.weight
|
79 |
+
down_blocks.0.resnets.1.time_emb_proj.bias
|
80 |
+
down_blocks.0.resnets.1.time_emb_proj.weight
|
81 |
+
down_blocks.1.attentions.0.norm.bias
|
82 |
+
down_blocks.1.attentions.0.norm.weight
|
83 |
+
down_blocks.1.attentions.0.proj_in.bias
|
84 |
+
down_blocks.1.attentions.0.proj_in.weight
|
85 |
+
down_blocks.1.attentions.0.proj_out.bias
|
86 |
+
down_blocks.1.attentions.0.proj_out.weight
|
87 |
+
down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight
|
88 |
+
down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.bias
|
89 |
+
down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight
|
90 |
+
down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight
|
91 |
+
down_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight
|
92 |
+
down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight
|
93 |
+
down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.bias
|
94 |
+
down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight
|
95 |
+
down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight
|
96 |
+
down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight
|
97 |
+
down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.bias
|
98 |
+
down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight
|
99 |
+
down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.bias
|
100 |
+
down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight
|
101 |
+
down_blocks.1.attentions.0.transformer_blocks.0.norm1.bias
|
102 |
+
down_blocks.1.attentions.0.transformer_blocks.0.norm1.weight
|
103 |
+
down_blocks.1.attentions.0.transformer_blocks.0.norm2.bias
|
104 |
+
down_blocks.1.attentions.0.transformer_blocks.0.norm2.weight
|
105 |
+
down_blocks.1.attentions.0.transformer_blocks.0.norm3.bias
|
106 |
+
down_blocks.1.attentions.0.transformer_blocks.0.norm3.weight
|
107 |
+
down_blocks.1.attentions.1.norm.bias
|
108 |
+
down_blocks.1.attentions.1.norm.weight
|
109 |
+
down_blocks.1.attentions.1.proj_in.bias
|
110 |
+
down_blocks.1.attentions.1.proj_in.weight
|
111 |
+
down_blocks.1.attentions.1.proj_out.bias
|
112 |
+
down_blocks.1.attentions.1.proj_out.weight
|
113 |
+
down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight
|
114 |
+
down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.bias
|
115 |
+
down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.weight
|
116 |
+
down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight
|
117 |
+
down_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight
|
118 |
+
down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight
|
119 |
+
down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.bias
|
120 |
+
down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight
|
121 |
+
down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight
|
122 |
+
down_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight
|
123 |
+
down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.bias
|
124 |
+
down_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight
|
125 |
+
down_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.bias
|
126 |
+
down_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight
|
127 |
+
down_blocks.1.attentions.1.transformer_blocks.0.norm1.bias
|
128 |
+
down_blocks.1.attentions.1.transformer_blocks.0.norm1.weight
|
129 |
+
down_blocks.1.attentions.1.transformer_blocks.0.norm2.bias
|
130 |
+
down_blocks.1.attentions.1.transformer_blocks.0.norm2.weight
|
131 |
+
down_blocks.1.attentions.1.transformer_blocks.0.norm3.bias
|
132 |
+
down_blocks.1.attentions.1.transformer_blocks.0.norm3.weight
|
133 |
+
down_blocks.1.downsamplers.0.conv.bias
|
134 |
+
down_blocks.1.downsamplers.0.conv.weight
|
135 |
+
down_blocks.1.resnets.0.conv1.bias
|
136 |
+
down_blocks.1.resnets.0.conv1.weight
|
137 |
+
down_blocks.1.resnets.0.conv2.bias
|
138 |
+
down_blocks.1.resnets.0.conv2.weight
|
139 |
+
down_blocks.1.resnets.0.conv_shortcut.bias
|
140 |
+
down_blocks.1.resnets.0.conv_shortcut.weight
|
141 |
+
down_blocks.1.resnets.0.norm1.bias
|
142 |
+
down_blocks.1.resnets.0.norm1.weight
|
143 |
+
down_blocks.1.resnets.0.norm2.bias
|
144 |
+
down_blocks.1.resnets.0.norm2.weight
|
145 |
+
down_blocks.1.resnets.0.time_emb_proj.bias
|
146 |
+
down_blocks.1.resnets.0.time_emb_proj.weight
|
147 |
+
down_blocks.1.resnets.1.conv1.bias
|
148 |
+
down_blocks.1.resnets.1.conv1.weight
|
149 |
+
down_blocks.1.resnets.1.conv2.bias
|
150 |
+
down_blocks.1.resnets.1.conv2.weight
|
151 |
+
down_blocks.1.resnets.1.norm1.bias
|
152 |
+
down_blocks.1.resnets.1.norm1.weight
|
153 |
+
down_blocks.1.resnets.1.norm2.bias
|
154 |
+
down_blocks.1.resnets.1.norm2.weight
|
155 |
+
down_blocks.1.resnets.1.time_emb_proj.bias
|
156 |
+
down_blocks.1.resnets.1.time_emb_proj.weight
|
157 |
+
down_blocks.2.attentions.0.norm.bias
|
158 |
+
down_blocks.2.attentions.0.norm.weight
|
159 |
+
down_blocks.2.attentions.0.proj_in.bias
|
160 |
+
down_blocks.2.attentions.0.proj_in.weight
|
161 |
+
down_blocks.2.attentions.0.proj_out.bias
|
162 |
+
down_blocks.2.attentions.0.proj_out.weight
|
163 |
+
down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight
|
164 |
+
down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.bias
|
165 |
+
down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight
|
166 |
+
down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight
|
167 |
+
down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight
|
168 |
+
down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight
|
169 |
+
down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.bias
|
170 |
+
down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight
|
171 |
+
down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight
|
172 |
+
down_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight
|
173 |
+
down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.bias
|
174 |
+
down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight
|
175 |
+
down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.bias
|
176 |
+
down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight
|
177 |
+
down_blocks.2.attentions.0.transformer_blocks.0.norm1.bias
|
178 |
+
down_blocks.2.attentions.0.transformer_blocks.0.norm1.weight
|
179 |
+
down_blocks.2.attentions.0.transformer_blocks.0.norm2.bias
|
180 |
+
down_blocks.2.attentions.0.transformer_blocks.0.norm2.weight
|
181 |
+
down_blocks.2.attentions.0.transformer_blocks.0.norm3.bias
|
182 |
+
down_blocks.2.attentions.0.transformer_blocks.0.norm3.weight
|
183 |
+
down_blocks.2.attentions.1.norm.bias
|
184 |
+
down_blocks.2.attentions.1.norm.weight
|
185 |
+
down_blocks.2.attentions.1.proj_in.bias
|
186 |
+
down_blocks.2.attentions.1.proj_in.weight
|
187 |
+
down_blocks.2.attentions.1.proj_out.bias
|
188 |
+
down_blocks.2.attentions.1.proj_out.weight
|
189 |
+
down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight
|
190 |
+
down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.bias
|
191 |
+
down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight
|
192 |
+
down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight
|
193 |
+
down_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight
|
194 |
+
down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight
|
195 |
+
down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.bias
|
196 |
+
down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight
|
197 |
+
down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q.weight
|
198 |
+
down_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight
|
199 |
+
down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.bias
|
200 |
+
down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight
|
201 |
+
down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.bias
|
202 |
+
down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight
|
203 |
+
down_blocks.2.attentions.1.transformer_blocks.0.norm1.bias
|
204 |
+
down_blocks.2.attentions.1.transformer_blocks.0.norm1.weight
|
205 |
+
down_blocks.2.attentions.1.transformer_blocks.0.norm2.bias
|
206 |
+
down_blocks.2.attentions.1.transformer_blocks.0.norm2.weight
|
207 |
+
down_blocks.2.attentions.1.transformer_blocks.0.norm3.bias
|
208 |
+
down_blocks.2.attentions.1.transformer_blocks.0.norm3.weight
|
209 |
+
down_blocks.2.downsamplers.0.conv.bias
|
210 |
+
down_blocks.2.downsamplers.0.conv.weight
|
211 |
+
down_blocks.2.resnets.0.conv1.bias
|
212 |
+
down_blocks.2.resnets.0.conv1.weight
|
213 |
+
down_blocks.2.resnets.0.conv2.bias
|
214 |
+
down_blocks.2.resnets.0.conv2.weight
|
215 |
+
down_blocks.2.resnets.0.conv_shortcut.bias
|
216 |
+
down_blocks.2.resnets.0.conv_shortcut.weight
|
217 |
+
down_blocks.2.resnets.0.norm1.bias
|
218 |
+
down_blocks.2.resnets.0.norm1.weight
|
219 |
+
down_blocks.2.resnets.0.norm2.bias
|
220 |
+
down_blocks.2.resnets.0.norm2.weight
|
221 |
+
down_blocks.2.resnets.0.time_emb_proj.bias
|
222 |
+
down_blocks.2.resnets.0.time_emb_proj.weight
|
223 |
+
down_blocks.2.resnets.1.conv1.bias
|
224 |
+
down_blocks.2.resnets.1.conv1.weight
|
225 |
+
down_blocks.2.resnets.1.conv2.bias
|
226 |
+
down_blocks.2.resnets.1.conv2.weight
|
227 |
+
down_blocks.2.resnets.1.norm1.bias
|
228 |
+
down_blocks.2.resnets.1.norm1.weight
|
229 |
+
down_blocks.2.resnets.1.norm2.bias
|
230 |
+
down_blocks.2.resnets.1.norm2.weight
|
231 |
+
down_blocks.2.resnets.1.time_emb_proj.bias
|
232 |
+
down_blocks.2.resnets.1.time_emb_proj.weight
|
233 |
+
down_blocks.3.resnets.0.conv1.bias
|
234 |
+
down_blocks.3.resnets.0.conv1.weight
|
235 |
+
down_blocks.3.resnets.0.conv2.bias
|
236 |
+
down_blocks.3.resnets.0.conv2.weight
|
237 |
+
down_blocks.3.resnets.0.norm1.bias
|
238 |
+
down_blocks.3.resnets.0.norm1.weight
|
239 |
+
down_blocks.3.resnets.0.norm2.bias
|
240 |
+
down_blocks.3.resnets.0.norm2.weight
|
241 |
+
down_blocks.3.resnets.0.time_emb_proj.bias
|
242 |
+
down_blocks.3.resnets.0.time_emb_proj.weight
|
243 |
+
down_blocks.3.resnets.1.conv1.bias
|
244 |
+
down_blocks.3.resnets.1.conv1.weight
|
245 |
+
down_blocks.3.resnets.1.conv2.bias
|
246 |
+
down_blocks.3.resnets.1.conv2.weight
|
247 |
+
down_blocks.3.resnets.1.norm1.bias
|
248 |
+
down_blocks.3.resnets.1.norm1.weight
|
249 |
+
down_blocks.3.resnets.1.norm2.bias
|
250 |
+
down_blocks.3.resnets.1.norm2.weight
|
251 |
+
down_blocks.3.resnets.1.time_emb_proj.bias
|
252 |
+
down_blocks.3.resnets.1.time_emb_proj.weight
|
253 |
+
mid_block.attentions.0.norm.bias
|
254 |
+
mid_block.attentions.0.norm.weight
|
255 |
+
mid_block.attentions.0.proj_in.bias
|
256 |
+
mid_block.attentions.0.proj_in.weight
|
257 |
+
mid_block.attentions.0.proj_out.bias
|
258 |
+
mid_block.attentions.0.proj_out.weight
|
259 |
+
mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight
|
260 |
+
mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.bias
|
261 |
+
mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight
|
262 |
+
mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight
|
263 |
+
mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight
|
264 |
+
mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight
|
265 |
+
mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.bias
|
266 |
+
mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight
|
267 |
+
mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight
|
268 |
+
mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight
|
269 |
+
mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.bias
|
270 |
+
mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight
|
271 |
+
mid_block.attentions.0.transformer_blocks.0.ff.net.2.bias
|
272 |
+
mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight
|
273 |
+
mid_block.attentions.0.transformer_blocks.0.norm1.bias
|
274 |
+
mid_block.attentions.0.transformer_blocks.0.norm1.weight
|
275 |
+
mid_block.attentions.0.transformer_blocks.0.norm2.bias
|
276 |
+
mid_block.attentions.0.transformer_blocks.0.norm2.weight
|
277 |
+
mid_block.attentions.0.transformer_blocks.0.norm3.bias
|
278 |
+
mid_block.attentions.0.transformer_blocks.0.norm3.weight
|
279 |
+
mid_block.resnets.0.conv1.bias
|
280 |
+
mid_block.resnets.0.conv1.weight
|
281 |
+
mid_block.resnets.0.conv2.bias
|
282 |
+
mid_block.resnets.0.conv2.weight
|
283 |
+
mid_block.resnets.0.norm1.bias
|
284 |
+
mid_block.resnets.0.norm1.weight
|
285 |
+
mid_block.resnets.0.norm2.bias
|
286 |
+
mid_block.resnets.0.norm2.weight
|
287 |
+
mid_block.resnets.0.time_emb_proj.bias
|
288 |
+
mid_block.resnets.0.time_emb_proj.weight
|
289 |
+
mid_block.resnets.1.conv1.bias
|
290 |
+
mid_block.resnets.1.conv1.weight
|
291 |
+
mid_block.resnets.1.conv2.bias
|
292 |
+
mid_block.resnets.1.conv2.weight
|
293 |
+
mid_block.resnets.1.norm1.bias
|
294 |
+
mid_block.resnets.1.norm1.weight
|
295 |
+
mid_block.resnets.1.norm2.bias
|
296 |
+
mid_block.resnets.1.norm2.weight
|
297 |
+
mid_block.resnets.1.time_emb_proj.bias
|
298 |
+
mid_block.resnets.1.time_emb_proj.weight
|
299 |
+
time_embedding.linear_1.bias
|
300 |
+
time_embedding.linear_1.weight
|
301 |
+
time_embedding.linear_2.bias
|
302 |
+
time_embedding.linear_2.weight
|
303 |
+
up_blocks.0.resnets.0.conv1.bias
|
304 |
+
up_blocks.0.resnets.0.conv1.weight
|
305 |
+
up_blocks.0.resnets.0.conv2.bias
|
306 |
+
up_blocks.0.resnets.0.conv2.weight
|
307 |
+
up_blocks.0.resnets.0.conv_shortcut.bias
|
308 |
+
up_blocks.0.resnets.0.conv_shortcut.weight
|
309 |
+
up_blocks.0.resnets.0.norm1.bias
|
310 |
+
up_blocks.0.resnets.0.norm1.weight
|
311 |
+
up_blocks.0.resnets.0.norm2.bias
|
312 |
+
up_blocks.0.resnets.0.norm2.weight
|
313 |
+
up_blocks.0.resnets.0.time_emb_proj.bias
|
314 |
+
up_blocks.0.resnets.0.time_emb_proj.weight
|
315 |
+
up_blocks.0.resnets.1.conv1.bias
|
316 |
+
up_blocks.0.resnets.1.conv1.weight
|
317 |
+
up_blocks.0.resnets.1.conv2.bias
|
318 |
+
up_blocks.0.resnets.1.conv2.weight
|
319 |
+
up_blocks.0.resnets.1.conv_shortcut.bias
|
320 |
+
up_blocks.0.resnets.1.conv_shortcut.weight
|
321 |
+
up_blocks.0.resnets.1.norm1.bias
|
322 |
+
up_blocks.0.resnets.1.norm1.weight
|
323 |
+
up_blocks.0.resnets.1.norm2.bias
|
324 |
+
up_blocks.0.resnets.1.norm2.weight
|
325 |
+
up_blocks.0.resnets.1.time_emb_proj.bias
|
326 |
+
up_blocks.0.resnets.1.time_emb_proj.weight
|
327 |
+
up_blocks.0.resnets.2.conv1.bias
|
328 |
+
up_blocks.0.resnets.2.conv1.weight
|
329 |
+
up_blocks.0.resnets.2.conv2.bias
|
330 |
+
up_blocks.0.resnets.2.conv2.weight
|
331 |
+
up_blocks.0.resnets.2.conv_shortcut.bias
|
332 |
+
up_blocks.0.resnets.2.conv_shortcut.weight
|
333 |
+
up_blocks.0.resnets.2.norm1.bias
|
334 |
+
up_blocks.0.resnets.2.norm1.weight
|
335 |
+
up_blocks.0.resnets.2.norm2.bias
|
336 |
+
up_blocks.0.resnets.2.norm2.weight
|
337 |
+
up_blocks.0.resnets.2.time_emb_proj.bias
|
338 |
+
up_blocks.0.resnets.2.time_emb_proj.weight
|
339 |
+
up_blocks.0.upsamplers.0.conv.bias
|
340 |
+
up_blocks.0.upsamplers.0.conv.weight
|
341 |
+
up_blocks.1.attentions.0.norm.bias
|
342 |
+
up_blocks.1.attentions.0.norm.weight
|
343 |
+
up_blocks.1.attentions.0.proj_in.bias
|
344 |
+
up_blocks.1.attentions.0.proj_in.weight
|
345 |
+
up_blocks.1.attentions.0.proj_out.bias
|
346 |
+
up_blocks.1.attentions.0.proj_out.weight
|
347 |
+
up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight
|
348 |
+
up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.bias
|
349 |
+
up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight
|
350 |
+
up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight
|
351 |
+
up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight
|
352 |
+
up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight
|
353 |
+
up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.bias
|
354 |
+
up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight
|
355 |
+
up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight
|
356 |
+
up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight
|
357 |
+
up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.bias
|
358 |
+
up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight
|
359 |
+
up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.bias
|
360 |
+
up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight
|
361 |
+
up_blocks.1.attentions.0.transformer_blocks.0.norm1.bias
|
362 |
+
up_blocks.1.attentions.0.transformer_blocks.0.norm1.weight
|
363 |
+
up_blocks.1.attentions.0.transformer_blocks.0.norm2.bias
|
364 |
+
up_blocks.1.attentions.0.transformer_blocks.0.norm2.weight
|
365 |
+
up_blocks.1.attentions.0.transformer_blocks.0.norm3.bias
|
366 |
+
up_blocks.1.attentions.0.transformer_blocks.0.norm3.weight
|
367 |
+
up_blocks.1.attentions.1.norm.bias
|
368 |
+
up_blocks.1.attentions.1.norm.weight
|
369 |
+
up_blocks.1.attentions.1.proj_in.bias
|
370 |
+
up_blocks.1.attentions.1.proj_in.weight
|
371 |
+
up_blocks.1.attentions.1.proj_out.bias
|
372 |
+
up_blocks.1.attentions.1.proj_out.weight
|
373 |
+
up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight
|
374 |
+
up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.bias
|
375 |
+
up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.weight
|
376 |
+
up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight
|
377 |
+
up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight
|
378 |
+
up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight
|
379 |
+
up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.bias
|
380 |
+
up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight
|
381 |
+
up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight
|
382 |
+
up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight
|
383 |
+
up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.bias
|
384 |
+
up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight
|
385 |
+
up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.bias
|
386 |
+
up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight
|
387 |
+
up_blocks.1.attentions.1.transformer_blocks.0.norm1.bias
|
388 |
+
up_blocks.1.attentions.1.transformer_blocks.0.norm1.weight
|
389 |
+
up_blocks.1.attentions.1.transformer_blocks.0.norm2.bias
|
390 |
+
up_blocks.1.attentions.1.transformer_blocks.0.norm2.weight
|
391 |
+
up_blocks.1.attentions.1.transformer_blocks.0.norm3.bias
|
392 |
+
up_blocks.1.attentions.1.transformer_blocks.0.norm3.weight
|
393 |
+
up_blocks.1.attentions.2.norm.bias
|
394 |
+
up_blocks.1.attentions.2.norm.weight
|
395 |
+
up_blocks.1.attentions.2.proj_in.bias
|
396 |
+
up_blocks.1.attentions.2.proj_in.weight
|
397 |
+
up_blocks.1.attentions.2.proj_out.bias
|
398 |
+
up_blocks.1.attentions.2.proj_out.weight
|
399 |
+
up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_k.weight
|
400 |
+
up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.bias
|
401 |
+
up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_out.0.weight
|
402 |
+
up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_q.weight
|
403 |
+
up_blocks.1.attentions.2.transformer_blocks.0.attn1.to_v.weight
|
404 |
+
up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_k.weight
|
405 |
+
up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.bias
|
406 |
+
up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_out.0.weight
|
407 |
+
up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_q.weight
|
408 |
+
up_blocks.1.attentions.2.transformer_blocks.0.attn2.to_v.weight
|
409 |
+
up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.bias
|
410 |
+
up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight
|
411 |
+
up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.bias
|
412 |
+
up_blocks.1.attentions.2.transformer_blocks.0.ff.net.2.weight
|
413 |
+
up_blocks.1.attentions.2.transformer_blocks.0.norm1.bias
|
414 |
+
up_blocks.1.attentions.2.transformer_blocks.0.norm1.weight
|
415 |
+
up_blocks.1.attentions.2.transformer_blocks.0.norm2.bias
|
416 |
+
up_blocks.1.attentions.2.transformer_blocks.0.norm2.weight
|
417 |
+
up_blocks.1.attentions.2.transformer_blocks.0.norm3.bias
|
418 |
+
up_blocks.1.attentions.2.transformer_blocks.0.norm3.weight
|
419 |
+
up_blocks.1.resnets.0.conv1.bias
|
420 |
+
up_blocks.1.resnets.0.conv1.weight
|
421 |
+
up_blocks.1.resnets.0.conv2.bias
|
422 |
+
up_blocks.1.resnets.0.conv2.weight
|
423 |
+
up_blocks.1.resnets.0.conv_shortcut.bias
|
424 |
+
up_blocks.1.resnets.0.conv_shortcut.weight
|
425 |
+
up_blocks.1.resnets.0.norm1.bias
|
426 |
+
up_blocks.1.resnets.0.norm1.weight
|
427 |
+
up_blocks.1.resnets.0.norm2.bias
|
428 |
+
up_blocks.1.resnets.0.norm2.weight
|
429 |
+
up_blocks.1.resnets.0.time_emb_proj.bias
|
430 |
+
up_blocks.1.resnets.0.time_emb_proj.weight
|
431 |
+
up_blocks.1.resnets.1.conv1.bias
|
432 |
+
up_blocks.1.resnets.1.conv1.weight
|
433 |
+
up_blocks.1.resnets.1.conv2.bias
|
434 |
+
up_blocks.1.resnets.1.conv2.weight
|
435 |
+
up_blocks.1.resnets.1.conv_shortcut.bias
|
436 |
+
up_blocks.1.resnets.1.conv_shortcut.weight
|
437 |
+
up_blocks.1.resnets.1.norm1.bias
|
438 |
+
up_blocks.1.resnets.1.norm1.weight
|
439 |
+
up_blocks.1.resnets.1.norm2.bias
|
440 |
+
up_blocks.1.resnets.1.norm2.weight
|
441 |
+
up_blocks.1.resnets.1.time_emb_proj.bias
|
442 |
+
up_blocks.1.resnets.1.time_emb_proj.weight
|
443 |
+
up_blocks.1.resnets.2.conv1.bias
|
444 |
+
up_blocks.1.resnets.2.conv1.weight
|
445 |
+
up_blocks.1.resnets.2.conv2.bias
|
446 |
+
up_blocks.1.resnets.2.conv2.weight
|
447 |
+
up_blocks.1.resnets.2.conv_shortcut.bias
|
448 |
+
up_blocks.1.resnets.2.conv_shortcut.weight
|
449 |
+
up_blocks.1.resnets.2.norm1.bias
|
450 |
+
up_blocks.1.resnets.2.norm1.weight
|
451 |
+
up_blocks.1.resnets.2.norm2.bias
|
452 |
+
up_blocks.1.resnets.2.norm2.weight
|
453 |
+
up_blocks.1.resnets.2.time_emb_proj.bias
|
454 |
+
up_blocks.1.resnets.2.time_emb_proj.weight
|
455 |
+
up_blocks.1.upsamplers.0.conv.bias
|
456 |
+
up_blocks.1.upsamplers.0.conv.weight
|
457 |
+
up_blocks.2.attentions.0.norm.bias
|
458 |
+
up_blocks.2.attentions.0.norm.weight
|
459 |
+
up_blocks.2.attentions.0.proj_in.bias
|
460 |
+
up_blocks.2.attentions.0.proj_in.weight
|
461 |
+
up_blocks.2.attentions.0.proj_out.bias
|
462 |
+
up_blocks.2.attentions.0.proj_out.weight
|
463 |
+
up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight
|
464 |
+
up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.bias
|
465 |
+
up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_out.0.weight
|
466 |
+
up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_q.weight
|
467 |
+
up_blocks.2.attentions.0.transformer_blocks.0.attn1.to_v.weight
|
468 |
+
up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_k.weight
|
469 |
+
up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.bias
|
470 |
+
up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_out.0.weight
|
471 |
+
up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_q.weight
|
472 |
+
up_blocks.2.attentions.0.transformer_blocks.0.attn2.to_v.weight
|
473 |
+
up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.bias
|
474 |
+
up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight
|
475 |
+
up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.bias
|
476 |
+
up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight
|
477 |
+
up_blocks.2.attentions.0.transformer_blocks.0.norm1.bias
|
478 |
+
up_blocks.2.attentions.0.transformer_blocks.0.norm1.weight
|
479 |
+
up_blocks.2.attentions.0.transformer_blocks.0.norm2.bias
|
480 |
+
up_blocks.2.attentions.0.transformer_blocks.0.norm2.weight
|
481 |
+
up_blocks.2.attentions.0.transformer_blocks.0.norm3.bias
|
482 |
+
up_blocks.2.attentions.0.transformer_blocks.0.norm3.weight
|
483 |
+
up_blocks.2.attentions.1.norm.bias
|
484 |
+
up_blocks.2.attentions.1.norm.weight
|
485 |
+
up_blocks.2.attentions.1.proj_in.bias
|
486 |
+
up_blocks.2.attentions.1.proj_in.weight
|
487 |
+
up_blocks.2.attentions.1.proj_out.bias
|
488 |
+
up_blocks.2.attentions.1.proj_out.weight
|
489 |
+
up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_k.weight
|
490 |
+
up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.bias
|
491 |
+
up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_out.0.weight
|
492 |
+
up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_q.weight
|
493 |
+
up_blocks.2.attentions.1.transformer_blocks.0.attn1.to_v.weight
|
494 |
+
up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_k.weight
|
495 |
+
up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.bias
|
496 |
+
up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_out.0.weight
|
497 |
+
up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_q.weight
|
498 |
+
up_blocks.2.attentions.1.transformer_blocks.0.attn2.to_v.weight
|
499 |
+
up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.bias
|
500 |
+
up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0.proj.weight
|
501 |
+
up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.bias
|
502 |
+
up_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight
|
503 |
+
up_blocks.2.attentions.1.transformer_blocks.0.norm1.bias
|
504 |
+
up_blocks.2.attentions.1.transformer_blocks.0.norm1.weight
|
505 |
+
up_blocks.2.attentions.1.transformer_blocks.0.norm2.bias
|
506 |
+
up_blocks.2.attentions.1.transformer_blocks.0.norm2.weight
|
507 |
+
up_blocks.2.attentions.1.transformer_blocks.0.norm3.bias
|
508 |
+
up_blocks.2.attentions.1.transformer_blocks.0.norm3.weight
|
509 |
+
up_blocks.2.attentions.2.norm.bias
|
510 |
+
up_blocks.2.attentions.2.norm.weight
|
511 |
+
up_blocks.2.attentions.2.proj_in.bias
|
512 |
+
up_blocks.2.attentions.2.proj_in.weight
|
513 |
+
up_blocks.2.attentions.2.proj_out.bias
|
514 |
+
up_blocks.2.attentions.2.proj_out.weight
|
515 |
+
up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_k.weight
|
516 |
+
up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.bias
|
517 |
+
up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_out.0.weight
|
518 |
+
up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_q.weight
|
519 |
+
up_blocks.2.attentions.2.transformer_blocks.0.attn1.to_v.weight
|
520 |
+
up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_k.weight
|
521 |
+
up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.bias
|
522 |
+
up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_out.0.weight
|
523 |
+
up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_q.weight
|
524 |
+
up_blocks.2.attentions.2.transformer_blocks.0.attn2.to_v.weight
|
525 |
+
up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.bias
|
526 |
+
up_blocks.2.attentions.2.transformer_blocks.0.ff.net.0.proj.weight
|
527 |
+
up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.bias
|
528 |
+
up_blocks.2.attentions.2.transformer_blocks.0.ff.net.2.weight
|
529 |
+
up_blocks.2.attentions.2.transformer_blocks.0.norm1.bias
|
530 |
+
up_blocks.2.attentions.2.transformer_blocks.0.norm1.weight
|
531 |
+
up_blocks.2.attentions.2.transformer_blocks.0.norm2.bias
|
532 |
+
up_blocks.2.attentions.2.transformer_blocks.0.norm2.weight
|
533 |
+
up_blocks.2.attentions.2.transformer_blocks.0.norm3.bias
|
534 |
+
up_blocks.2.attentions.2.transformer_blocks.0.norm3.weight
|
535 |
+
up_blocks.2.resnets.0.conv1.bias
|
536 |
+
up_blocks.2.resnets.0.conv1.weight
|
537 |
+
up_blocks.2.resnets.0.conv2.bias
|
538 |
+
up_blocks.2.resnets.0.conv2.weight
|
539 |
+
up_blocks.2.resnets.0.conv_shortcut.bias
|
540 |
+
up_blocks.2.resnets.0.conv_shortcut.weight
|
541 |
+
up_blocks.2.resnets.0.norm1.bias
|
542 |
+
up_blocks.2.resnets.0.norm1.weight
|
543 |
+
up_blocks.2.resnets.0.norm2.bias
|
544 |
+
up_blocks.2.resnets.0.norm2.weight
|
545 |
+
up_blocks.2.resnets.0.time_emb_proj.bias
|
546 |
+
up_blocks.2.resnets.0.time_emb_proj.weight
|
547 |
+
up_blocks.2.resnets.1.conv1.bias
|
548 |
+
up_blocks.2.resnets.1.conv1.weight
|
549 |
+
up_blocks.2.resnets.1.conv2.bias
|
550 |
+
up_blocks.2.resnets.1.conv2.weight
|
551 |
+
up_blocks.2.resnets.1.conv_shortcut.bias
|
552 |
+
up_blocks.2.resnets.1.conv_shortcut.weight
|
553 |
+
up_blocks.2.resnets.1.norm1.bias
|
554 |
+
up_blocks.2.resnets.1.norm1.weight
|
555 |
+
up_blocks.2.resnets.1.norm2.bias
|
556 |
+
up_blocks.2.resnets.1.norm2.weight
|
557 |
+
up_blocks.2.resnets.1.time_emb_proj.bias
|
558 |
+
up_blocks.2.resnets.1.time_emb_proj.weight
|
559 |
+
up_blocks.2.resnets.2.conv1.bias
|
560 |
+
up_blocks.2.resnets.2.conv1.weight
|
561 |
+
up_blocks.2.resnets.2.conv2.bias
|
562 |
+
up_blocks.2.resnets.2.conv2.weight
|
563 |
+
up_blocks.2.resnets.2.conv_shortcut.bias
|
564 |
+
up_blocks.2.resnets.2.conv_shortcut.weight
|
565 |
+
up_blocks.2.resnets.2.norm1.bias
|
566 |
+
up_blocks.2.resnets.2.norm1.weight
|
567 |
+
up_blocks.2.resnets.2.norm2.bias
|
568 |
+
up_blocks.2.resnets.2.norm2.weight
|
569 |
+
up_blocks.2.resnets.2.time_emb_proj.bias
|
570 |
+
up_blocks.2.resnets.2.time_emb_proj.weight
|
571 |
+
up_blocks.2.upsamplers.0.conv.bias
|
572 |
+
up_blocks.2.upsamplers.0.conv.weight
|
573 |
+
up_blocks.3.attentions.0.norm.bias
|
574 |
+
up_blocks.3.attentions.0.norm.weight
|
575 |
+
up_blocks.3.attentions.0.proj_in.bias
|
576 |
+
up_blocks.3.attentions.0.proj_in.weight
|
577 |
+
up_blocks.3.attentions.0.proj_out.bias
|
578 |
+
up_blocks.3.attentions.0.proj_out.weight
|
579 |
+
up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k.weight
|
580 |
+
up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.bias
|
581 |
+
up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0.weight
|
582 |
+
up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q.weight
|
583 |
+
up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v.weight
|
584 |
+
up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k.weight
|
585 |
+
up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.bias
|
586 |
+
up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0.weight
|
587 |
+
up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q.weight
|
588 |
+
up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight
|
589 |
+
up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.bias
|
590 |
+
up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj.weight
|
591 |
+
up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.bias
|
592 |
+
up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2.weight
|
593 |
+
up_blocks.3.attentions.0.transformer_blocks.0.norm1.bias
|
594 |
+
up_blocks.3.attentions.0.transformer_blocks.0.norm1.weight
|
595 |
+
up_blocks.3.attentions.0.transformer_blocks.0.norm2.bias
|
596 |
+
up_blocks.3.attentions.0.transformer_blocks.0.norm2.weight
|
597 |
+
up_blocks.3.attentions.0.transformer_blocks.0.norm3.bias
|
598 |
+
up_blocks.3.attentions.0.transformer_blocks.0.norm3.weight
|
599 |
+
up_blocks.3.attentions.1.norm.bias
|
600 |
+
up_blocks.3.attentions.1.norm.weight
|
601 |
+
up_blocks.3.attentions.1.proj_in.bias
|
602 |
+
up_blocks.3.attentions.1.proj_in.weight
|
603 |
+
up_blocks.3.attentions.1.proj_out.bias
|
604 |
+
up_blocks.3.attentions.1.proj_out.weight
|
605 |
+
up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k.weight
|
606 |
+
up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.bias
|
607 |
+
up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0.weight
|
608 |
+
up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q.weight
|
609 |
+
up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v.weight
|
610 |
+
up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k.weight
|
611 |
+
up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.bias
|
612 |
+
up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0.weight
|
613 |
+
up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q.weight
|
614 |
+
up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v.weight
|
615 |
+
up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.bias
|
616 |
+
up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj.weight
|
617 |
+
up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.bias
|
618 |
+
up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2.weight
|
619 |
+
up_blocks.3.attentions.1.transformer_blocks.0.norm1.bias
|
620 |
+
up_blocks.3.attentions.1.transformer_blocks.0.norm1.weight
|
621 |
+
up_blocks.3.attentions.1.transformer_blocks.0.norm2.bias
|
622 |
+
up_blocks.3.attentions.1.transformer_blocks.0.norm2.weight
|
623 |
+
up_blocks.3.attentions.1.transformer_blocks.0.norm3.bias
|
624 |
+
up_blocks.3.attentions.1.transformer_blocks.0.norm3.weight
|
625 |
+
up_blocks.3.attentions.2.norm.bias
|
626 |
+
up_blocks.3.attentions.2.norm.weight
|
627 |
+
up_blocks.3.attentions.2.proj_in.bias
|
628 |
+
up_blocks.3.attentions.2.proj_in.weight
|
629 |
+
up_blocks.3.attentions.2.proj_out.bias
|
630 |
+
up_blocks.3.attentions.2.proj_out.weight
|
631 |
+
up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k.weight
|
632 |
+
up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.bias
|
633 |
+
up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0.weight
|
634 |
+
up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_q.weight
|
635 |
+
up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v.weight
|
636 |
+
up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k.weight
|
637 |
+
up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.bias
|
638 |
+
up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0.weight
|
639 |
+
up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q.weight
|
640 |
+
up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v.weight
|
641 |
+
up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.bias
|
642 |
+
up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj.weight
|
643 |
+
up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.bias
|
644 |
+
up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight
|
645 |
+
up_blocks.3.attentions.2.transformer_blocks.0.norm1.bias
|
646 |
+
up_blocks.3.attentions.2.transformer_blocks.0.norm1.weight
|
647 |
+
up_blocks.3.attentions.2.transformer_blocks.0.norm2.bias
|
648 |
+
up_blocks.3.attentions.2.transformer_blocks.0.norm2.weight
|
649 |
+
up_blocks.3.attentions.2.transformer_blocks.0.norm3.bias
|
650 |
+
up_blocks.3.attentions.2.transformer_blocks.0.norm3.weight
|
651 |
+
up_blocks.3.resnets.0.conv1.bias
|
652 |
+
up_blocks.3.resnets.0.conv1.weight
|
653 |
+
up_blocks.3.resnets.0.conv2.bias
|
654 |
+
up_blocks.3.resnets.0.conv2.weight
|
655 |
+
up_blocks.3.resnets.0.conv_shortcut.bias
|
656 |
+
up_blocks.3.resnets.0.conv_shortcut.weight
|
657 |
+
up_blocks.3.resnets.0.norm1.bias
|
658 |
+
up_blocks.3.resnets.0.norm1.weight
|
659 |
+
up_blocks.3.resnets.0.norm2.bias
|
660 |
+
up_blocks.3.resnets.0.norm2.weight
|
661 |
+
up_blocks.3.resnets.0.time_emb_proj.bias
|
662 |
+
up_blocks.3.resnets.0.time_emb_proj.weight
|
663 |
+
up_blocks.3.resnets.1.conv1.bias
|
664 |
+
up_blocks.3.resnets.1.conv1.weight
|
665 |
+
up_blocks.3.resnets.1.conv2.bias
|
666 |
+
up_blocks.3.resnets.1.conv2.weight
|
667 |
+
up_blocks.3.resnets.1.conv_shortcut.bias
|
668 |
+
up_blocks.3.resnets.1.conv_shortcut.weight
|
669 |
+
up_blocks.3.resnets.1.norm1.bias
|
670 |
+
up_blocks.3.resnets.1.norm1.weight
|
671 |
+
up_blocks.3.resnets.1.norm2.bias
|
672 |
+
up_blocks.3.resnets.1.norm2.weight
|
673 |
+
up_blocks.3.resnets.1.time_emb_proj.bias
|
674 |
+
up_blocks.3.resnets.1.time_emb_proj.weight
|
675 |
+
up_blocks.3.resnets.2.conv1.bias
|
676 |
+
up_blocks.3.resnets.2.conv1.weight
|
677 |
+
up_blocks.3.resnets.2.conv2.bias
|
678 |
+
up_blocks.3.resnets.2.conv2.weight
|
679 |
+
up_blocks.3.resnets.2.conv_shortcut.bias
|
680 |
+
up_blocks.3.resnets.2.conv_shortcut.weight
|
681 |
+
up_blocks.3.resnets.2.norm1.bias
|
682 |
+
up_blocks.3.resnets.2.norm1.weight
|
683 |
+
up_blocks.3.resnets.2.norm2.bias
|
684 |
+
up_blocks.3.resnets.2.norm2.weight
|
685 |
+
up_blocks.3.resnets.2.time_emb_proj.bias
|
686 |
+
up_blocks.3.resnets.2.time_emb_proj.weight
|
keys/sd15_pruned_emaonly_keys.txt
ADDED
@@ -0,0 +1,1145 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
alphas_cumprod
|
2 |
+
alphas_cumprod_prev
|
3 |
+
betas
|
4 |
+
cond_stage_model.transformer.text_model.embeddings.position_embedding.weight
|
5 |
+
cond_stage_model.transformer.text_model.embeddings.position_ids
|
6 |
+
cond_stage_model.transformer.text_model.embeddings.token_embedding.weight
|
7 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.layer_norm1.bias
|
8 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.layer_norm1.weight
|
9 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.layer_norm2.bias
|
10 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.layer_norm2.weight
|
11 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.mlp.fc1.bias
|
12 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.mlp.fc1.weight
|
13 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.mlp.fc2.bias
|
14 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.mlp.fc2.weight
|
15 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.self_attn.k_proj.bias
|
16 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.self_attn.k_proj.weight
|
17 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.self_attn.out_proj.bias
|
18 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.self_attn.out_proj.weight
|
19 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.self_attn.q_proj.bias
|
20 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.self_attn.q_proj.weight
|
21 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.self_attn.v_proj.bias
|
22 |
+
cond_stage_model.transformer.text_model.encoder.layers.0.self_attn.v_proj.weight
|
23 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.layer_norm1.bias
|
24 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.layer_norm1.weight
|
25 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.layer_norm2.bias
|
26 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.layer_norm2.weight
|
27 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.mlp.fc1.bias
|
28 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.mlp.fc1.weight
|
29 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.mlp.fc2.bias
|
30 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.mlp.fc2.weight
|
31 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.self_attn.k_proj.bias
|
32 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.self_attn.k_proj.weight
|
33 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.self_attn.out_proj.bias
|
34 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.self_attn.out_proj.weight
|
35 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.self_attn.q_proj.bias
|
36 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.self_attn.q_proj.weight
|
37 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.self_attn.v_proj.bias
|
38 |
+
cond_stage_model.transformer.text_model.encoder.layers.1.self_attn.v_proj.weight
|
39 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.layer_norm1.bias
|
40 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.layer_norm1.weight
|
41 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.layer_norm2.bias
|
42 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.layer_norm2.weight
|
43 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.mlp.fc1.bias
|
44 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.mlp.fc1.weight
|
45 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.mlp.fc2.bias
|
46 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.mlp.fc2.weight
|
47 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.self_attn.k_proj.bias
|
48 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.self_attn.k_proj.weight
|
49 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.self_attn.out_proj.bias
|
50 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.self_attn.out_proj.weight
|
51 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.self_attn.q_proj.bias
|
52 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.self_attn.q_proj.weight
|
53 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.self_attn.v_proj.bias
|
54 |
+
cond_stage_model.transformer.text_model.encoder.layers.10.self_attn.v_proj.weight
|
55 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.layer_norm1.bias
|
56 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.layer_norm1.weight
|
57 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.layer_norm2.bias
|
58 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.layer_norm2.weight
|
59 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.mlp.fc1.bias
|
60 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.mlp.fc1.weight
|
61 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.mlp.fc2.bias
|
62 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.mlp.fc2.weight
|
63 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.k_proj.bias
|
64 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.k_proj.weight
|
65 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.out_proj.bias
|
66 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.out_proj.weight
|
67 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.q_proj.bias
|
68 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.q_proj.weight
|
69 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.v_proj.bias
|
70 |
+
cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.v_proj.weight
|
71 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.layer_norm1.bias
|
72 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.layer_norm1.weight
|
73 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.layer_norm2.bias
|
74 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.layer_norm2.weight
|
75 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.mlp.fc1.bias
|
76 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.mlp.fc1.weight
|
77 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.mlp.fc2.bias
|
78 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.mlp.fc2.weight
|
79 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.k_proj.bias
|
80 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.k_proj.weight
|
81 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.out_proj.bias
|
82 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.out_proj.weight
|
83 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.q_proj.bias
|
84 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.q_proj.weight
|
85 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.v_proj.bias
|
86 |
+
cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.v_proj.weight
|
87 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.layer_norm1.bias
|
88 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.layer_norm1.weight
|
89 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.layer_norm2.bias
|
90 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.layer_norm2.weight
|
91 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.mlp.fc1.bias
|
92 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.mlp.fc1.weight
|
93 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.mlp.fc2.bias
|
94 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.mlp.fc2.weight
|
95 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.k_proj.bias
|
96 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.k_proj.weight
|
97 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.out_proj.bias
|
98 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.out_proj.weight
|
99 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.q_proj.bias
|
100 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.q_proj.weight
|
101 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.v_proj.bias
|
102 |
+
cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.v_proj.weight
|
103 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.layer_norm1.bias
|
104 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.layer_norm1.weight
|
105 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.layer_norm2.bias
|
106 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.layer_norm2.weight
|
107 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.mlp.fc1.bias
|
108 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.mlp.fc1.weight
|
109 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.mlp.fc2.bias
|
110 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.mlp.fc2.weight
|
111 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.self_attn.k_proj.bias
|
112 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.self_attn.k_proj.weight
|
113 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.self_attn.out_proj.bias
|
114 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.self_attn.out_proj.weight
|
115 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.self_attn.q_proj.bias
|
116 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.self_attn.q_proj.weight
|
117 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.self_attn.v_proj.bias
|
118 |
+
cond_stage_model.transformer.text_model.encoder.layers.4.self_attn.v_proj.weight
|
119 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.layer_norm1.bias
|
120 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.layer_norm1.weight
|
121 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.layer_norm2.bias
|
122 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.layer_norm2.weight
|
123 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.mlp.fc1.bias
|
124 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.mlp.fc1.weight
|
125 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.mlp.fc2.bias
|
126 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.mlp.fc2.weight
|
127 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.self_attn.k_proj.bias
|
128 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.self_attn.k_proj.weight
|
129 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.self_attn.out_proj.bias
|
130 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.self_attn.out_proj.weight
|
131 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.self_attn.q_proj.bias
|
132 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.self_attn.q_proj.weight
|
133 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.self_attn.v_proj.bias
|
134 |
+
cond_stage_model.transformer.text_model.encoder.layers.5.self_attn.v_proj.weight
|
135 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.layer_norm1.bias
|
136 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.layer_norm1.weight
|
137 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.layer_norm2.bias
|
138 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.layer_norm2.weight
|
139 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.mlp.fc1.bias
|
140 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.mlp.fc1.weight
|
141 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.mlp.fc2.bias
|
142 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.mlp.fc2.weight
|
143 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.self_attn.k_proj.bias
|
144 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.self_attn.k_proj.weight
|
145 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.self_attn.out_proj.bias
|
146 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.self_attn.out_proj.weight
|
147 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.self_attn.q_proj.bias
|
148 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.self_attn.q_proj.weight
|
149 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.self_attn.v_proj.bias
|
150 |
+
cond_stage_model.transformer.text_model.encoder.layers.6.self_attn.v_proj.weight
|
151 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.layer_norm1.bias
|
152 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.layer_norm1.weight
|
153 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.layer_norm2.bias
|
154 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.layer_norm2.weight
|
155 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.mlp.fc1.bias
|
156 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.mlp.fc1.weight
|
157 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.mlp.fc2.bias
|
158 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.mlp.fc2.weight
|
159 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.self_attn.k_proj.bias
|
160 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.self_attn.k_proj.weight
|
161 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.self_attn.out_proj.bias
|
162 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.self_attn.out_proj.weight
|
163 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.self_attn.q_proj.bias
|
164 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.self_attn.q_proj.weight
|
165 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.self_attn.v_proj.bias
|
166 |
+
cond_stage_model.transformer.text_model.encoder.layers.7.self_attn.v_proj.weight
|
167 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.layer_norm1.bias
|
168 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.layer_norm1.weight
|
169 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.layer_norm2.bias
|
170 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.layer_norm2.weight
|
171 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.mlp.fc1.bias
|
172 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.mlp.fc1.weight
|
173 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.mlp.fc2.bias
|
174 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.mlp.fc2.weight
|
175 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.self_attn.k_proj.bias
|
176 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.self_attn.k_proj.weight
|
177 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.self_attn.out_proj.bias
|
178 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.self_attn.out_proj.weight
|
179 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.self_attn.q_proj.bias
|
180 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.self_attn.q_proj.weight
|
181 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.self_attn.v_proj.bias
|
182 |
+
cond_stage_model.transformer.text_model.encoder.layers.8.self_attn.v_proj.weight
|
183 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.layer_norm1.bias
|
184 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.layer_norm1.weight
|
185 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.layer_norm2.bias
|
186 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.layer_norm2.weight
|
187 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.mlp.fc1.bias
|
188 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.mlp.fc1.weight
|
189 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.mlp.fc2.bias
|
190 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.mlp.fc2.weight
|
191 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.self_attn.k_proj.bias
|
192 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.self_attn.k_proj.weight
|
193 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.self_attn.out_proj.bias
|
194 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.self_attn.out_proj.weight
|
195 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.self_attn.q_proj.bias
|
196 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.self_attn.q_proj.weight
|
197 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.self_attn.v_proj.bias
|
198 |
+
cond_stage_model.transformer.text_model.encoder.layers.9.self_attn.v_proj.weight
|
199 |
+
cond_stage_model.transformer.text_model.final_layer_norm.bias
|
200 |
+
cond_stage_model.transformer.text_model.final_layer_norm.weight
|
201 |
+
first_stage_model.decoder.conv_in.bias
|
202 |
+
first_stage_model.decoder.conv_in.weight
|
203 |
+
first_stage_model.decoder.conv_out.bias
|
204 |
+
first_stage_model.decoder.conv_out.weight
|
205 |
+
first_stage_model.decoder.mid.attn_1.k.bias
|
206 |
+
first_stage_model.decoder.mid.attn_1.k.weight
|
207 |
+
first_stage_model.decoder.mid.attn_1.norm.bias
|
208 |
+
first_stage_model.decoder.mid.attn_1.norm.weight
|
209 |
+
first_stage_model.decoder.mid.attn_1.proj_out.bias
|
210 |
+
first_stage_model.decoder.mid.attn_1.proj_out.weight
|
211 |
+
first_stage_model.decoder.mid.attn_1.q.bias
|
212 |
+
first_stage_model.decoder.mid.attn_1.q.weight
|
213 |
+
first_stage_model.decoder.mid.attn_1.v.bias
|
214 |
+
first_stage_model.decoder.mid.attn_1.v.weight
|
215 |
+
first_stage_model.decoder.mid.block_1.conv1.bias
|
216 |
+
first_stage_model.decoder.mid.block_1.conv1.weight
|
217 |
+
first_stage_model.decoder.mid.block_1.conv2.bias
|
218 |
+
first_stage_model.decoder.mid.block_1.conv2.weight
|
219 |
+
first_stage_model.decoder.mid.block_1.norm1.bias
|
220 |
+
first_stage_model.decoder.mid.block_1.norm1.weight
|
221 |
+
first_stage_model.decoder.mid.block_1.norm2.bias
|
222 |
+
first_stage_model.decoder.mid.block_1.norm2.weight
|
223 |
+
first_stage_model.decoder.mid.block_2.conv1.bias
|
224 |
+
first_stage_model.decoder.mid.block_2.conv1.weight
|
225 |
+
first_stage_model.decoder.mid.block_2.conv2.bias
|
226 |
+
first_stage_model.decoder.mid.block_2.conv2.weight
|
227 |
+
first_stage_model.decoder.mid.block_2.norm1.bias
|
228 |
+
first_stage_model.decoder.mid.block_2.norm1.weight
|
229 |
+
first_stage_model.decoder.mid.block_2.norm2.bias
|
230 |
+
first_stage_model.decoder.mid.block_2.norm2.weight
|
231 |
+
first_stage_model.decoder.norm_out.bias
|
232 |
+
first_stage_model.decoder.norm_out.weight
|
233 |
+
first_stage_model.decoder.up.0.block.0.conv1.bias
|
234 |
+
first_stage_model.decoder.up.0.block.0.conv1.weight
|
235 |
+
first_stage_model.decoder.up.0.block.0.conv2.bias
|
236 |
+
first_stage_model.decoder.up.0.block.0.conv2.weight
|
237 |
+
first_stage_model.decoder.up.0.block.0.nin_shortcut.bias
|
238 |
+
first_stage_model.decoder.up.0.block.0.nin_shortcut.weight
|
239 |
+
first_stage_model.decoder.up.0.block.0.norm1.bias
|
240 |
+
first_stage_model.decoder.up.0.block.0.norm1.weight
|
241 |
+
first_stage_model.decoder.up.0.block.0.norm2.bias
|
242 |
+
first_stage_model.decoder.up.0.block.0.norm2.weight
|
243 |
+
first_stage_model.decoder.up.0.block.1.conv1.bias
|
244 |
+
first_stage_model.decoder.up.0.block.1.conv1.weight
|
245 |
+
first_stage_model.decoder.up.0.block.1.conv2.bias
|
246 |
+
first_stage_model.decoder.up.0.block.1.conv2.weight
|
247 |
+
first_stage_model.decoder.up.0.block.1.norm1.bias
|
248 |
+
first_stage_model.decoder.up.0.block.1.norm1.weight
|
249 |
+
first_stage_model.decoder.up.0.block.1.norm2.bias
|
250 |
+
first_stage_model.decoder.up.0.block.1.norm2.weight
|
251 |
+
first_stage_model.decoder.up.0.block.2.conv1.bias
|
252 |
+
first_stage_model.decoder.up.0.block.2.conv1.weight
|
253 |
+
first_stage_model.decoder.up.0.block.2.conv2.bias
|
254 |
+
first_stage_model.decoder.up.0.block.2.conv2.weight
|
255 |
+
first_stage_model.decoder.up.0.block.2.norm1.bias
|
256 |
+
first_stage_model.decoder.up.0.block.2.norm1.weight
|
257 |
+
first_stage_model.decoder.up.0.block.2.norm2.bias
|
258 |
+
first_stage_model.decoder.up.0.block.2.norm2.weight
|
259 |
+
first_stage_model.decoder.up.1.block.0.conv1.bias
|
260 |
+
first_stage_model.decoder.up.1.block.0.conv1.weight
|
261 |
+
first_stage_model.decoder.up.1.block.0.conv2.bias
|
262 |
+
first_stage_model.decoder.up.1.block.0.conv2.weight
|
263 |
+
first_stage_model.decoder.up.1.block.0.nin_shortcut.bias
|
264 |
+
first_stage_model.decoder.up.1.block.0.nin_shortcut.weight
|
265 |
+
first_stage_model.decoder.up.1.block.0.norm1.bias
|
266 |
+
first_stage_model.decoder.up.1.block.0.norm1.weight
|
267 |
+
first_stage_model.decoder.up.1.block.0.norm2.bias
|
268 |
+
first_stage_model.decoder.up.1.block.0.norm2.weight
|
269 |
+
first_stage_model.decoder.up.1.block.1.conv1.bias
|
270 |
+
first_stage_model.decoder.up.1.block.1.conv1.weight
|
271 |
+
first_stage_model.decoder.up.1.block.1.conv2.bias
|
272 |
+
first_stage_model.decoder.up.1.block.1.conv2.weight
|
273 |
+
first_stage_model.decoder.up.1.block.1.norm1.bias
|
274 |
+
first_stage_model.decoder.up.1.block.1.norm1.weight
|
275 |
+
first_stage_model.decoder.up.1.block.1.norm2.bias
|
276 |
+
first_stage_model.decoder.up.1.block.1.norm2.weight
|
277 |
+
first_stage_model.decoder.up.1.block.2.conv1.bias
|
278 |
+
first_stage_model.decoder.up.1.block.2.conv1.weight
|
279 |
+
first_stage_model.decoder.up.1.block.2.conv2.bias
|
280 |
+
first_stage_model.decoder.up.1.block.2.conv2.weight
|
281 |
+
first_stage_model.decoder.up.1.block.2.norm1.bias
|
282 |
+
first_stage_model.decoder.up.1.block.2.norm1.weight
|
283 |
+
first_stage_model.decoder.up.1.block.2.norm2.bias
|
284 |
+
first_stage_model.decoder.up.1.block.2.norm2.weight
|
285 |
+
first_stage_model.decoder.up.1.upsample.conv.bias
|
286 |
+
first_stage_model.decoder.up.1.upsample.conv.weight
|
287 |
+
first_stage_model.decoder.up.2.block.0.conv1.bias
|
288 |
+
first_stage_model.decoder.up.2.block.0.conv1.weight
|
289 |
+
first_stage_model.decoder.up.2.block.0.conv2.bias
|
290 |
+
first_stage_model.decoder.up.2.block.0.conv2.weight
|
291 |
+
first_stage_model.decoder.up.2.block.0.norm1.bias
|
292 |
+
first_stage_model.decoder.up.2.block.0.norm1.weight
|
293 |
+
first_stage_model.decoder.up.2.block.0.norm2.bias
|
294 |
+
first_stage_model.decoder.up.2.block.0.norm2.weight
|
295 |
+
first_stage_model.decoder.up.2.block.1.conv1.bias
|
296 |
+
first_stage_model.decoder.up.2.block.1.conv1.weight
|
297 |
+
first_stage_model.decoder.up.2.block.1.conv2.bias
|
298 |
+
first_stage_model.decoder.up.2.block.1.conv2.weight
|
299 |
+
first_stage_model.decoder.up.2.block.1.norm1.bias
|
300 |
+
first_stage_model.decoder.up.2.block.1.norm1.weight
|
301 |
+
first_stage_model.decoder.up.2.block.1.norm2.bias
|
302 |
+
first_stage_model.decoder.up.2.block.1.norm2.weight
|
303 |
+
first_stage_model.decoder.up.2.block.2.conv1.bias
|
304 |
+
first_stage_model.decoder.up.2.block.2.conv1.weight
|
305 |
+
first_stage_model.decoder.up.2.block.2.conv2.bias
|
306 |
+
first_stage_model.decoder.up.2.block.2.conv2.weight
|
307 |
+
first_stage_model.decoder.up.2.block.2.norm1.bias
|
308 |
+
first_stage_model.decoder.up.2.block.2.norm1.weight
|
309 |
+
first_stage_model.decoder.up.2.block.2.norm2.bias
|
310 |
+
first_stage_model.decoder.up.2.block.2.norm2.weight
|
311 |
+
first_stage_model.decoder.up.2.upsample.conv.bias
|
312 |
+
first_stage_model.decoder.up.2.upsample.conv.weight
|
313 |
+
first_stage_model.decoder.up.3.block.0.conv1.bias
|
314 |
+
first_stage_model.decoder.up.3.block.0.conv1.weight
|
315 |
+
first_stage_model.decoder.up.3.block.0.conv2.bias
|
316 |
+
first_stage_model.decoder.up.3.block.0.conv2.weight
|
317 |
+
first_stage_model.decoder.up.3.block.0.norm1.bias
|
318 |
+
first_stage_model.decoder.up.3.block.0.norm1.weight
|
319 |
+
first_stage_model.decoder.up.3.block.0.norm2.bias
|
320 |
+
first_stage_model.decoder.up.3.block.0.norm2.weight
|
321 |
+
first_stage_model.decoder.up.3.block.1.conv1.bias
|
322 |
+
first_stage_model.decoder.up.3.block.1.conv1.weight
|
323 |
+
first_stage_model.decoder.up.3.block.1.conv2.bias
|
324 |
+
first_stage_model.decoder.up.3.block.1.conv2.weight
|
325 |
+
first_stage_model.decoder.up.3.block.1.norm1.bias
|
326 |
+
first_stage_model.decoder.up.3.block.1.norm1.weight
|
327 |
+
first_stage_model.decoder.up.3.block.1.norm2.bias
|
328 |
+
first_stage_model.decoder.up.3.block.1.norm2.weight
|
329 |
+
first_stage_model.decoder.up.3.block.2.conv1.bias
|
330 |
+
first_stage_model.decoder.up.3.block.2.conv1.weight
|
331 |
+
first_stage_model.decoder.up.3.block.2.conv2.bias
|
332 |
+
first_stage_model.decoder.up.3.block.2.conv2.weight
|
333 |
+
first_stage_model.decoder.up.3.block.2.norm1.bias
|
334 |
+
first_stage_model.decoder.up.3.block.2.norm1.weight
|
335 |
+
first_stage_model.decoder.up.3.block.2.norm2.bias
|
336 |
+
first_stage_model.decoder.up.3.block.2.norm2.weight
|
337 |
+
first_stage_model.decoder.up.3.upsample.conv.bias
|
338 |
+
first_stage_model.decoder.up.3.upsample.conv.weight
|
339 |
+
first_stage_model.encoder.conv_in.bias
|
340 |
+
first_stage_model.encoder.conv_in.weight
|
341 |
+
first_stage_model.encoder.conv_out.bias
|
342 |
+
first_stage_model.encoder.conv_out.weight
|
343 |
+
first_stage_model.encoder.down.0.block.0.conv1.bias
|
344 |
+
first_stage_model.encoder.down.0.block.0.conv1.weight
|
345 |
+
first_stage_model.encoder.down.0.block.0.conv2.bias
|
346 |
+
first_stage_model.encoder.down.0.block.0.conv2.weight
|
347 |
+
first_stage_model.encoder.down.0.block.0.norm1.bias
|
348 |
+
first_stage_model.encoder.down.0.block.0.norm1.weight
|
349 |
+
first_stage_model.encoder.down.0.block.0.norm2.bias
|
350 |
+
first_stage_model.encoder.down.0.block.0.norm2.weight
|
351 |
+
first_stage_model.encoder.down.0.block.1.conv1.bias
|
352 |
+
first_stage_model.encoder.down.0.block.1.conv1.weight
|
353 |
+
first_stage_model.encoder.down.0.block.1.conv2.bias
|
354 |
+
first_stage_model.encoder.down.0.block.1.conv2.weight
|
355 |
+
first_stage_model.encoder.down.0.block.1.norm1.bias
|
356 |
+
first_stage_model.encoder.down.0.block.1.norm1.weight
|
357 |
+
first_stage_model.encoder.down.0.block.1.norm2.bias
|
358 |
+
first_stage_model.encoder.down.0.block.1.norm2.weight
|
359 |
+
first_stage_model.encoder.down.0.downsample.conv.bias
|
360 |
+
first_stage_model.encoder.down.0.downsample.conv.weight
|
361 |
+
first_stage_model.encoder.down.1.block.0.conv1.bias
|
362 |
+
first_stage_model.encoder.down.1.block.0.conv1.weight
|
363 |
+
first_stage_model.encoder.down.1.block.0.conv2.bias
|
364 |
+
first_stage_model.encoder.down.1.block.0.conv2.weight
|
365 |
+
first_stage_model.encoder.down.1.block.0.nin_shortcut.bias
|
366 |
+
first_stage_model.encoder.down.1.block.0.nin_shortcut.weight
|
367 |
+
first_stage_model.encoder.down.1.block.0.norm1.bias
|
368 |
+
first_stage_model.encoder.down.1.block.0.norm1.weight
|
369 |
+
first_stage_model.encoder.down.1.block.0.norm2.bias
|
370 |
+
first_stage_model.encoder.down.1.block.0.norm2.weight
|
371 |
+
first_stage_model.encoder.down.1.block.1.conv1.bias
|
372 |
+
first_stage_model.encoder.down.1.block.1.conv1.weight
|
373 |
+
first_stage_model.encoder.down.1.block.1.conv2.bias
|
374 |
+
first_stage_model.encoder.down.1.block.1.conv2.weight
|
375 |
+
first_stage_model.encoder.down.1.block.1.norm1.bias
|
376 |
+
first_stage_model.encoder.down.1.block.1.norm1.weight
|
377 |
+
first_stage_model.encoder.down.1.block.1.norm2.bias
|
378 |
+
first_stage_model.encoder.down.1.block.1.norm2.weight
|
379 |
+
first_stage_model.encoder.down.1.downsample.conv.bias
|
380 |
+
first_stage_model.encoder.down.1.downsample.conv.weight
|
381 |
+
first_stage_model.encoder.down.2.block.0.conv1.bias
|
382 |
+
first_stage_model.encoder.down.2.block.0.conv1.weight
|
383 |
+
first_stage_model.encoder.down.2.block.0.conv2.bias
|
384 |
+
first_stage_model.encoder.down.2.block.0.conv2.weight
|
385 |
+
first_stage_model.encoder.down.2.block.0.nin_shortcut.bias
|
386 |
+
first_stage_model.encoder.down.2.block.0.nin_shortcut.weight
|
387 |
+
first_stage_model.encoder.down.2.block.0.norm1.bias
|
388 |
+
first_stage_model.encoder.down.2.block.0.norm1.weight
|
389 |
+
first_stage_model.encoder.down.2.block.0.norm2.bias
|
390 |
+
first_stage_model.encoder.down.2.block.0.norm2.weight
|
391 |
+
first_stage_model.encoder.down.2.block.1.conv1.bias
|
392 |
+
first_stage_model.encoder.down.2.block.1.conv1.weight
|
393 |
+
first_stage_model.encoder.down.2.block.1.conv2.bias
|
394 |
+
first_stage_model.encoder.down.2.block.1.conv2.weight
|
395 |
+
first_stage_model.encoder.down.2.block.1.norm1.bias
|
396 |
+
first_stage_model.encoder.down.2.block.1.norm1.weight
|
397 |
+
first_stage_model.encoder.down.2.block.1.norm2.bias
|
398 |
+
first_stage_model.encoder.down.2.block.1.norm2.weight
|
399 |
+
first_stage_model.encoder.down.2.downsample.conv.bias
|
400 |
+
first_stage_model.encoder.down.2.downsample.conv.weight
|
401 |
+
first_stage_model.encoder.down.3.block.0.conv1.bias
|
402 |
+
first_stage_model.encoder.down.3.block.0.conv1.weight
|
403 |
+
first_stage_model.encoder.down.3.block.0.conv2.bias
|
404 |
+
first_stage_model.encoder.down.3.block.0.conv2.weight
|
405 |
+
first_stage_model.encoder.down.3.block.0.norm1.bias
|
406 |
+
first_stage_model.encoder.down.3.block.0.norm1.weight
|
407 |
+
first_stage_model.encoder.down.3.block.0.norm2.bias
|
408 |
+
first_stage_model.encoder.down.3.block.0.norm2.weight
|
409 |
+
first_stage_model.encoder.down.3.block.1.conv1.bias
|
410 |
+
first_stage_model.encoder.down.3.block.1.conv1.weight
|
411 |
+
first_stage_model.encoder.down.3.block.1.conv2.bias
|
412 |
+
first_stage_model.encoder.down.3.block.1.conv2.weight
|
413 |
+
first_stage_model.encoder.down.3.block.1.norm1.bias
|
414 |
+
first_stage_model.encoder.down.3.block.1.norm1.weight
|
415 |
+
first_stage_model.encoder.down.3.block.1.norm2.bias
|
416 |
+
first_stage_model.encoder.down.3.block.1.norm2.weight
|
417 |
+
first_stage_model.encoder.mid.attn_1.k.bias
|
418 |
+
first_stage_model.encoder.mid.attn_1.k.weight
|
419 |
+
first_stage_model.encoder.mid.attn_1.norm.bias
|
420 |
+
first_stage_model.encoder.mid.attn_1.norm.weight
|
421 |
+
first_stage_model.encoder.mid.attn_1.proj_out.bias
|
422 |
+
first_stage_model.encoder.mid.attn_1.proj_out.weight
|
423 |
+
first_stage_model.encoder.mid.attn_1.q.bias
|
424 |
+
first_stage_model.encoder.mid.attn_1.q.weight
|
425 |
+
first_stage_model.encoder.mid.attn_1.v.bias
|
426 |
+
first_stage_model.encoder.mid.attn_1.v.weight
|
427 |
+
first_stage_model.encoder.mid.block_1.conv1.bias
|
428 |
+
first_stage_model.encoder.mid.block_1.conv1.weight
|
429 |
+
first_stage_model.encoder.mid.block_1.conv2.bias
|
430 |
+
first_stage_model.encoder.mid.block_1.conv2.weight
|
431 |
+
first_stage_model.encoder.mid.block_1.norm1.bias
|
432 |
+
first_stage_model.encoder.mid.block_1.norm1.weight
|
433 |
+
first_stage_model.encoder.mid.block_1.norm2.bias
|
434 |
+
first_stage_model.encoder.mid.block_1.norm2.weight
|
435 |
+
first_stage_model.encoder.mid.block_2.conv1.bias
|
436 |
+
first_stage_model.encoder.mid.block_2.conv1.weight
|
437 |
+
first_stage_model.encoder.mid.block_2.conv2.bias
|
438 |
+
first_stage_model.encoder.mid.block_2.conv2.weight
|
439 |
+
first_stage_model.encoder.mid.block_2.norm1.bias
|
440 |
+
first_stage_model.encoder.mid.block_2.norm1.weight
|
441 |
+
first_stage_model.encoder.mid.block_2.norm2.bias
|
442 |
+
first_stage_model.encoder.mid.block_2.norm2.weight
|
443 |
+
first_stage_model.encoder.norm_out.bias
|
444 |
+
first_stage_model.encoder.norm_out.weight
|
445 |
+
first_stage_model.post_quant_conv.bias
|
446 |
+
first_stage_model.post_quant_conv.weight
|
447 |
+
first_stage_model.quant_conv.bias
|
448 |
+
first_stage_model.quant_conv.weight
|
449 |
+
log_one_minus_alphas_cumprod
|
450 |
+
model.diffusion_model.input_blocks.0.0.bias
|
451 |
+
model.diffusion_model.input_blocks.0.0.weight
|
452 |
+
model.diffusion_model.input_blocks.1.0.emb_layers.1.bias
|
453 |
+
model.diffusion_model.input_blocks.1.0.emb_layers.1.weight
|
454 |
+
model.diffusion_model.input_blocks.1.0.in_layers.0.bias
|
455 |
+
model.diffusion_model.input_blocks.1.0.in_layers.0.weight
|
456 |
+
model.diffusion_model.input_blocks.1.0.in_layers.2.bias
|
457 |
+
model.diffusion_model.input_blocks.1.0.in_layers.2.weight
|
458 |
+
model.diffusion_model.input_blocks.1.0.out_layers.0.bias
|
459 |
+
model.diffusion_model.input_blocks.1.0.out_layers.0.weight
|
460 |
+
model.diffusion_model.input_blocks.1.0.out_layers.3.bias
|
461 |
+
model.diffusion_model.input_blocks.1.0.out_layers.3.weight
|
462 |
+
model.diffusion_model.input_blocks.1.1.norm.bias
|
463 |
+
model.diffusion_model.input_blocks.1.1.norm.weight
|
464 |
+
model.diffusion_model.input_blocks.1.1.proj_in.bias
|
465 |
+
model.diffusion_model.input_blocks.1.1.proj_in.weight
|
466 |
+
model.diffusion_model.input_blocks.1.1.proj_out.bias
|
467 |
+
model.diffusion_model.input_blocks.1.1.proj_out.weight
|
468 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_k.weight
|
469 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0.bias
|
470 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0.weight
|
471 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_q.weight
|
472 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_v.weight
|
473 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_k.weight
|
474 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_out.0.bias
|
475 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_out.0.weight
|
476 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_q.weight
|
477 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_v.weight
|
478 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj.bias
|
479 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj.weight
|
480 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.2.bias
|
481 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.2.weight
|
482 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm1.bias
|
483 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm1.weight
|
484 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2.bias
|
485 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2.weight
|
486 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.bias
|
487 |
+
model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3.weight
|
488 |
+
model.diffusion_model.input_blocks.10.0.emb_layers.1.bias
|
489 |
+
model.diffusion_model.input_blocks.10.0.emb_layers.1.weight
|
490 |
+
model.diffusion_model.input_blocks.10.0.in_layers.0.bias
|
491 |
+
model.diffusion_model.input_blocks.10.0.in_layers.0.weight
|
492 |
+
model.diffusion_model.input_blocks.10.0.in_layers.2.bias
|
493 |
+
model.diffusion_model.input_blocks.10.0.in_layers.2.weight
|
494 |
+
model.diffusion_model.input_blocks.10.0.out_layers.0.bias
|
495 |
+
model.diffusion_model.input_blocks.10.0.out_layers.0.weight
|
496 |
+
model.diffusion_model.input_blocks.10.0.out_layers.3.bias
|
497 |
+
model.diffusion_model.input_blocks.10.0.out_layers.3.weight
|
498 |
+
model.diffusion_model.input_blocks.11.0.emb_layers.1.bias
|
499 |
+
model.diffusion_model.input_blocks.11.0.emb_layers.1.weight
|
500 |
+
model.diffusion_model.input_blocks.11.0.in_layers.0.bias
|
501 |
+
model.diffusion_model.input_blocks.11.0.in_layers.0.weight
|
502 |
+
model.diffusion_model.input_blocks.11.0.in_layers.2.bias
|
503 |
+
model.diffusion_model.input_blocks.11.0.in_layers.2.weight
|
504 |
+
model.diffusion_model.input_blocks.11.0.out_layers.0.bias
|
505 |
+
model.diffusion_model.input_blocks.11.0.out_layers.0.weight
|
506 |
+
model.diffusion_model.input_blocks.11.0.out_layers.3.bias
|
507 |
+
model.diffusion_model.input_blocks.11.0.out_layers.3.weight
|
508 |
+
model.diffusion_model.input_blocks.2.0.emb_layers.1.bias
|
509 |
+
model.diffusion_model.input_blocks.2.0.emb_layers.1.weight
|
510 |
+
model.diffusion_model.input_blocks.2.0.in_layers.0.bias
|
511 |
+
model.diffusion_model.input_blocks.2.0.in_layers.0.weight
|
512 |
+
model.diffusion_model.input_blocks.2.0.in_layers.2.bias
|
513 |
+
model.diffusion_model.input_blocks.2.0.in_layers.2.weight
|
514 |
+
model.diffusion_model.input_blocks.2.0.out_layers.0.bias
|
515 |
+
model.diffusion_model.input_blocks.2.0.out_layers.0.weight
|
516 |
+
model.diffusion_model.input_blocks.2.0.out_layers.3.bias
|
517 |
+
model.diffusion_model.input_blocks.2.0.out_layers.3.weight
|
518 |
+
model.diffusion_model.input_blocks.2.1.norm.bias
|
519 |
+
model.diffusion_model.input_blocks.2.1.norm.weight
|
520 |
+
model.diffusion_model.input_blocks.2.1.proj_in.bias
|
521 |
+
model.diffusion_model.input_blocks.2.1.proj_in.weight
|
522 |
+
model.diffusion_model.input_blocks.2.1.proj_out.bias
|
523 |
+
model.diffusion_model.input_blocks.2.1.proj_out.weight
|
524 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_k.weight
|
525 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_out.0.bias
|
526 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_out.0.weight
|
527 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_q.weight
|
528 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_v.weight
|
529 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_k.weight
|
530 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_out.0.bias
|
531 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_out.0.weight
|
532 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_q.weight
|
533 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_v.weight
|
534 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.ff.net.0.proj.bias
|
535 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.ff.net.0.proj.weight
|
536 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.ff.net.2.bias
|
537 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.ff.net.2.weight
|
538 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm1.bias
|
539 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm1.weight
|
540 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm2.bias
|
541 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm2.weight
|
542 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm3.bias
|
543 |
+
model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm3.weight
|
544 |
+
model.diffusion_model.input_blocks.3.0.op.bias
|
545 |
+
model.diffusion_model.input_blocks.3.0.op.weight
|
546 |
+
model.diffusion_model.input_blocks.4.0.emb_layers.1.bias
|
547 |
+
model.diffusion_model.input_blocks.4.0.emb_layers.1.weight
|
548 |
+
model.diffusion_model.input_blocks.4.0.in_layers.0.bias
|
549 |
+
model.diffusion_model.input_blocks.4.0.in_layers.0.weight
|
550 |
+
model.diffusion_model.input_blocks.4.0.in_layers.2.bias
|
551 |
+
model.diffusion_model.input_blocks.4.0.in_layers.2.weight
|
552 |
+
model.diffusion_model.input_blocks.4.0.out_layers.0.bias
|
553 |
+
model.diffusion_model.input_blocks.4.0.out_layers.0.weight
|
554 |
+
model.diffusion_model.input_blocks.4.0.out_layers.3.bias
|
555 |
+
model.diffusion_model.input_blocks.4.0.out_layers.3.weight
|
556 |
+
model.diffusion_model.input_blocks.4.0.skip_connection.bias
|
557 |
+
model.diffusion_model.input_blocks.4.0.skip_connection.weight
|
558 |
+
model.diffusion_model.input_blocks.4.1.norm.bias
|
559 |
+
model.diffusion_model.input_blocks.4.1.norm.weight
|
560 |
+
model.diffusion_model.input_blocks.4.1.proj_in.bias
|
561 |
+
model.diffusion_model.input_blocks.4.1.proj_in.weight
|
562 |
+
model.diffusion_model.input_blocks.4.1.proj_out.bias
|
563 |
+
model.diffusion_model.input_blocks.4.1.proj_out.weight
|
564 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_k.weight
|
565 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0.bias
|
566 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0.weight
|
567 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_q.weight
|
568 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_v.weight
|
569 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k.weight
|
570 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0.bias
|
571 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0.weight
|
572 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_q.weight
|
573 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v.weight
|
574 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj.bias
|
575 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj.weight
|
576 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.2.bias
|
577 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.2.weight
|
578 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm1.bias
|
579 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm1.weight
|
580 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2.bias
|
581 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2.weight
|
582 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3.bias
|
583 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3.weight
|
584 |
+
model.diffusion_model.input_blocks.5.0.emb_layers.1.bias
|
585 |
+
model.diffusion_model.input_blocks.5.0.emb_layers.1.weight
|
586 |
+
model.diffusion_model.input_blocks.5.0.in_layers.0.bias
|
587 |
+
model.diffusion_model.input_blocks.5.0.in_layers.0.weight
|
588 |
+
model.diffusion_model.input_blocks.5.0.in_layers.2.bias
|
589 |
+
model.diffusion_model.input_blocks.5.0.in_layers.2.weight
|
590 |
+
model.diffusion_model.input_blocks.5.0.out_layers.0.bias
|
591 |
+
model.diffusion_model.input_blocks.5.0.out_layers.0.weight
|
592 |
+
model.diffusion_model.input_blocks.5.0.out_layers.3.bias
|
593 |
+
model.diffusion_model.input_blocks.5.0.out_layers.3.weight
|
594 |
+
model.diffusion_model.input_blocks.5.1.norm.bias
|
595 |
+
model.diffusion_model.input_blocks.5.1.norm.weight
|
596 |
+
model.diffusion_model.input_blocks.5.1.proj_in.bias
|
597 |
+
model.diffusion_model.input_blocks.5.1.proj_in.weight
|
598 |
+
model.diffusion_model.input_blocks.5.1.proj_out.bias
|
599 |
+
model.diffusion_model.input_blocks.5.1.proj_out.weight
|
600 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_k.weight
|
601 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_out.0.bias
|
602 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight
|
603 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_q.weight
|
604 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_v.weight
|
605 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_k.weight
|
606 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_out.0.bias
|
607 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_out.0.weight
|
608 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_q.weight
|
609 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_v.weight
|
610 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.0.proj.bias
|
611 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.0.proj.weight
|
612 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.2.bias
|
613 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.2.weight
|
614 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm1.bias
|
615 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm1.weight
|
616 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm2.bias
|
617 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm2.weight
|
618 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm3.bias
|
619 |
+
model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm3.weight
|
620 |
+
model.diffusion_model.input_blocks.6.0.op.bias
|
621 |
+
model.diffusion_model.input_blocks.6.0.op.weight
|
622 |
+
model.diffusion_model.input_blocks.7.0.emb_layers.1.bias
|
623 |
+
model.diffusion_model.input_blocks.7.0.emb_layers.1.weight
|
624 |
+
model.diffusion_model.input_blocks.7.0.in_layers.0.bias
|
625 |
+
model.diffusion_model.input_blocks.7.0.in_layers.0.weight
|
626 |
+
model.diffusion_model.input_blocks.7.0.in_layers.2.bias
|
627 |
+
model.diffusion_model.input_blocks.7.0.in_layers.2.weight
|
628 |
+
model.diffusion_model.input_blocks.7.0.out_layers.0.bias
|
629 |
+
model.diffusion_model.input_blocks.7.0.out_layers.0.weight
|
630 |
+
model.diffusion_model.input_blocks.7.0.out_layers.3.bias
|
631 |
+
model.diffusion_model.input_blocks.7.0.out_layers.3.weight
|
632 |
+
model.diffusion_model.input_blocks.7.0.skip_connection.bias
|
633 |
+
model.diffusion_model.input_blocks.7.0.skip_connection.weight
|
634 |
+
model.diffusion_model.input_blocks.7.1.norm.bias
|
635 |
+
model.diffusion_model.input_blocks.7.1.norm.weight
|
636 |
+
model.diffusion_model.input_blocks.7.1.proj_in.bias
|
637 |
+
model.diffusion_model.input_blocks.7.1.proj_in.weight
|
638 |
+
model.diffusion_model.input_blocks.7.1.proj_out.bias
|
639 |
+
model.diffusion_model.input_blocks.7.1.proj_out.weight
|
640 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_k.weight
|
641 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_out.0.bias
|
642 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_out.0.weight
|
643 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_q.weight
|
644 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_v.weight
|
645 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_k.weight
|
646 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_out.0.bias
|
647 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_out.0.weight
|
648 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_q.weight
|
649 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_v.weight
|
650 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.0.proj.bias
|
651 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.0.proj.weight
|
652 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.2.bias
|
653 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.2.weight
|
654 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm1.bias
|
655 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm1.weight
|
656 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm2.bias
|
657 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm2.weight
|
658 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm3.bias
|
659 |
+
model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm3.weight
|
660 |
+
model.diffusion_model.input_blocks.8.0.emb_layers.1.bias
|
661 |
+
model.diffusion_model.input_blocks.8.0.emb_layers.1.weight
|
662 |
+
model.diffusion_model.input_blocks.8.0.in_layers.0.bias
|
663 |
+
model.diffusion_model.input_blocks.8.0.in_layers.0.weight
|
664 |
+
model.diffusion_model.input_blocks.8.0.in_layers.2.bias
|
665 |
+
model.diffusion_model.input_blocks.8.0.in_layers.2.weight
|
666 |
+
model.diffusion_model.input_blocks.8.0.out_layers.0.bias
|
667 |
+
model.diffusion_model.input_blocks.8.0.out_layers.0.weight
|
668 |
+
model.diffusion_model.input_blocks.8.0.out_layers.3.bias
|
669 |
+
model.diffusion_model.input_blocks.8.0.out_layers.3.weight
|
670 |
+
model.diffusion_model.input_blocks.8.1.norm.bias
|
671 |
+
model.diffusion_model.input_blocks.8.1.norm.weight
|
672 |
+
model.diffusion_model.input_blocks.8.1.proj_in.bias
|
673 |
+
model.diffusion_model.input_blocks.8.1.proj_in.weight
|
674 |
+
model.diffusion_model.input_blocks.8.1.proj_out.bias
|
675 |
+
model.diffusion_model.input_blocks.8.1.proj_out.weight
|
676 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_k.weight
|
677 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_out.0.bias
|
678 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_out.0.weight
|
679 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_q.weight
|
680 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_v.weight
|
681 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_k.weight
|
682 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_out.0.bias
|
683 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_out.0.weight
|
684 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_q.weight
|
685 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_v.weight
|
686 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.ff.net.0.proj.bias
|
687 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.ff.net.0.proj.weight
|
688 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.ff.net.2.bias
|
689 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.ff.net.2.weight
|
690 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm1.bias
|
691 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm1.weight
|
692 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm2.bias
|
693 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm2.weight
|
694 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm3.bias
|
695 |
+
model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm3.weight
|
696 |
+
model.diffusion_model.input_blocks.9.0.op.bias
|
697 |
+
model.diffusion_model.input_blocks.9.0.op.weight
|
698 |
+
model.diffusion_model.middle_block.0.emb_layers.1.bias
|
699 |
+
model.diffusion_model.middle_block.0.emb_layers.1.weight
|
700 |
+
model.diffusion_model.middle_block.0.in_layers.0.bias
|
701 |
+
model.diffusion_model.middle_block.0.in_layers.0.weight
|
702 |
+
model.diffusion_model.middle_block.0.in_layers.2.bias
|
703 |
+
model.diffusion_model.middle_block.0.in_layers.2.weight
|
704 |
+
model.diffusion_model.middle_block.0.out_layers.0.bias
|
705 |
+
model.diffusion_model.middle_block.0.out_layers.0.weight
|
706 |
+
model.diffusion_model.middle_block.0.out_layers.3.bias
|
707 |
+
model.diffusion_model.middle_block.0.out_layers.3.weight
|
708 |
+
model.diffusion_model.middle_block.1.norm.bias
|
709 |
+
model.diffusion_model.middle_block.1.norm.weight
|
710 |
+
model.diffusion_model.middle_block.1.proj_in.bias
|
711 |
+
model.diffusion_model.middle_block.1.proj_in.weight
|
712 |
+
model.diffusion_model.middle_block.1.proj_out.bias
|
713 |
+
model.diffusion_model.middle_block.1.proj_out.weight
|
714 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_k.weight
|
715 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_out.0.bias
|
716 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_out.0.weight
|
717 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_q.weight
|
718 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_v.weight
|
719 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_k.weight
|
720 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_out.0.bias
|
721 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_out.0.weight
|
722 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_q.weight
|
723 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_v.weight
|
724 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.ff.net.0.proj.bias
|
725 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.ff.net.0.proj.weight
|
726 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.ff.net.2.bias
|
727 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.ff.net.2.weight
|
728 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.norm1.bias
|
729 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.norm1.weight
|
730 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.norm2.bias
|
731 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.norm2.weight
|
732 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.norm3.bias
|
733 |
+
model.diffusion_model.middle_block.1.transformer_blocks.0.norm3.weight
|
734 |
+
model.diffusion_model.middle_block.2.emb_layers.1.bias
|
735 |
+
model.diffusion_model.middle_block.2.emb_layers.1.weight
|
736 |
+
model.diffusion_model.middle_block.2.in_layers.0.bias
|
737 |
+
model.diffusion_model.middle_block.2.in_layers.0.weight
|
738 |
+
model.diffusion_model.middle_block.2.in_layers.2.bias
|
739 |
+
model.diffusion_model.middle_block.2.in_layers.2.weight
|
740 |
+
model.diffusion_model.middle_block.2.out_layers.0.bias
|
741 |
+
model.diffusion_model.middle_block.2.out_layers.0.weight
|
742 |
+
model.diffusion_model.middle_block.2.out_layers.3.bias
|
743 |
+
model.diffusion_model.middle_block.2.out_layers.3.weight
|
744 |
+
model.diffusion_model.out.0.bias
|
745 |
+
model.diffusion_model.out.0.weight
|
746 |
+
model.diffusion_model.out.2.bias
|
747 |
+
model.diffusion_model.out.2.weight
|
748 |
+
model.diffusion_model.output_blocks.0.0.emb_layers.1.bias
|
749 |
+
model.diffusion_model.output_blocks.0.0.emb_layers.1.weight
|
750 |
+
model.diffusion_model.output_blocks.0.0.in_layers.0.bias
|
751 |
+
model.diffusion_model.output_blocks.0.0.in_layers.0.weight
|
752 |
+
model.diffusion_model.output_blocks.0.0.in_layers.2.bias
|
753 |
+
model.diffusion_model.output_blocks.0.0.in_layers.2.weight
|
754 |
+
model.diffusion_model.output_blocks.0.0.out_layers.0.bias
|
755 |
+
model.diffusion_model.output_blocks.0.0.out_layers.0.weight
|
756 |
+
model.diffusion_model.output_blocks.0.0.out_layers.3.bias
|
757 |
+
model.diffusion_model.output_blocks.0.0.out_layers.3.weight
|
758 |
+
model.diffusion_model.output_blocks.0.0.skip_connection.bias
|
759 |
+
model.diffusion_model.output_blocks.0.0.skip_connection.weight
|
760 |
+
model.diffusion_model.output_blocks.1.0.emb_layers.1.bias
|
761 |
+
model.diffusion_model.output_blocks.1.0.emb_layers.1.weight
|
762 |
+
model.diffusion_model.output_blocks.1.0.in_layers.0.bias
|
763 |
+
model.diffusion_model.output_blocks.1.0.in_layers.0.weight
|
764 |
+
model.diffusion_model.output_blocks.1.0.in_layers.2.bias
|
765 |
+
model.diffusion_model.output_blocks.1.0.in_layers.2.weight
|
766 |
+
model.diffusion_model.output_blocks.1.0.out_layers.0.bias
|
767 |
+
model.diffusion_model.output_blocks.1.0.out_layers.0.weight
|
768 |
+
model.diffusion_model.output_blocks.1.0.out_layers.3.bias
|
769 |
+
model.diffusion_model.output_blocks.1.0.out_layers.3.weight
|
770 |
+
model.diffusion_model.output_blocks.1.0.skip_connection.bias
|
771 |
+
model.diffusion_model.output_blocks.1.0.skip_connection.weight
|
772 |
+
model.diffusion_model.output_blocks.10.0.emb_layers.1.bias
|
773 |
+
model.diffusion_model.output_blocks.10.0.emb_layers.1.weight
|
774 |
+
model.diffusion_model.output_blocks.10.0.in_layers.0.bias
|
775 |
+
model.diffusion_model.output_blocks.10.0.in_layers.0.weight
|
776 |
+
model.diffusion_model.output_blocks.10.0.in_layers.2.bias
|
777 |
+
model.diffusion_model.output_blocks.10.0.in_layers.2.weight
|
778 |
+
model.diffusion_model.output_blocks.10.0.out_layers.0.bias
|
779 |
+
model.diffusion_model.output_blocks.10.0.out_layers.0.weight
|
780 |
+
model.diffusion_model.output_blocks.10.0.out_layers.3.bias
|
781 |
+
model.diffusion_model.output_blocks.10.0.out_layers.3.weight
|
782 |
+
model.diffusion_model.output_blocks.10.0.skip_connection.bias
|
783 |
+
model.diffusion_model.output_blocks.10.0.skip_connection.weight
|
784 |
+
model.diffusion_model.output_blocks.10.1.norm.bias
|
785 |
+
model.diffusion_model.output_blocks.10.1.norm.weight
|
786 |
+
model.diffusion_model.output_blocks.10.1.proj_in.bias
|
787 |
+
model.diffusion_model.output_blocks.10.1.proj_in.weight
|
788 |
+
model.diffusion_model.output_blocks.10.1.proj_out.bias
|
789 |
+
model.diffusion_model.output_blocks.10.1.proj_out.weight
|
790 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_k.weight
|
791 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_out.0.bias
|
792 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_out.0.weight
|
793 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_q.weight
|
794 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_v.weight
|
795 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_k.weight
|
796 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_out.0.bias
|
797 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_out.0.weight
|
798 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_q.weight
|
799 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_v.weight
|
800 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.ff.net.0.proj.bias
|
801 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.ff.net.0.proj.weight
|
802 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.ff.net.2.bias
|
803 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.ff.net.2.weight
|
804 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm1.bias
|
805 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm1.weight
|
806 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm2.bias
|
807 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm2.weight
|
808 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm3.bias
|
809 |
+
model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm3.weight
|
810 |
+
model.diffusion_model.output_blocks.11.0.emb_layers.1.bias
|
811 |
+
model.diffusion_model.output_blocks.11.0.emb_layers.1.weight
|
812 |
+
model.diffusion_model.output_blocks.11.0.in_layers.0.bias
|
813 |
+
model.diffusion_model.output_blocks.11.0.in_layers.0.weight
|
814 |
+
model.diffusion_model.output_blocks.11.0.in_layers.2.bias
|
815 |
+
model.diffusion_model.output_blocks.11.0.in_layers.2.weight
|
816 |
+
model.diffusion_model.output_blocks.11.0.out_layers.0.bias
|
817 |
+
model.diffusion_model.output_blocks.11.0.out_layers.0.weight
|
818 |
+
model.diffusion_model.output_blocks.11.0.out_layers.3.bias
|
819 |
+
model.diffusion_model.output_blocks.11.0.out_layers.3.weight
|
820 |
+
model.diffusion_model.output_blocks.11.0.skip_connection.bias
|
821 |
+
model.diffusion_model.output_blocks.11.0.skip_connection.weight
|
822 |
+
model.diffusion_model.output_blocks.11.1.norm.bias
|
823 |
+
model.diffusion_model.output_blocks.11.1.norm.weight
|
824 |
+
model.diffusion_model.output_blocks.11.1.proj_in.bias
|
825 |
+
model.diffusion_model.output_blocks.11.1.proj_in.weight
|
826 |
+
model.diffusion_model.output_blocks.11.1.proj_out.bias
|
827 |
+
model.diffusion_model.output_blocks.11.1.proj_out.weight
|
828 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_k.weight
|
829 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_out.0.bias
|
830 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_out.0.weight
|
831 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_q.weight
|
832 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_v.weight
|
833 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_k.weight
|
834 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_out.0.bias
|
835 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_out.0.weight
|
836 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_q.weight
|
837 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_v.weight
|
838 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.ff.net.0.proj.bias
|
839 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.ff.net.0.proj.weight
|
840 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.ff.net.2.bias
|
841 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.ff.net.2.weight
|
842 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm1.bias
|
843 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm1.weight
|
844 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm2.bias
|
845 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm2.weight
|
846 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm3.bias
|
847 |
+
model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm3.weight
|
848 |
+
model.diffusion_model.output_blocks.2.0.emb_layers.1.bias
|
849 |
+
model.diffusion_model.output_blocks.2.0.emb_layers.1.weight
|
850 |
+
model.diffusion_model.output_blocks.2.0.in_layers.0.bias
|
851 |
+
model.diffusion_model.output_blocks.2.0.in_layers.0.weight
|
852 |
+
model.diffusion_model.output_blocks.2.0.in_layers.2.bias
|
853 |
+
model.diffusion_model.output_blocks.2.0.in_layers.2.weight
|
854 |
+
model.diffusion_model.output_blocks.2.0.out_layers.0.bias
|
855 |
+
model.diffusion_model.output_blocks.2.0.out_layers.0.weight
|
856 |
+
model.diffusion_model.output_blocks.2.0.out_layers.3.bias
|
857 |
+
model.diffusion_model.output_blocks.2.0.out_layers.3.weight
|
858 |
+
model.diffusion_model.output_blocks.2.0.skip_connection.bias
|
859 |
+
model.diffusion_model.output_blocks.2.0.skip_connection.weight
|
860 |
+
model.diffusion_model.output_blocks.2.1.conv.bias
|
861 |
+
model.diffusion_model.output_blocks.2.1.conv.weight
|
862 |
+
model.diffusion_model.output_blocks.3.0.emb_layers.1.bias
|
863 |
+
model.diffusion_model.output_blocks.3.0.emb_layers.1.weight
|
864 |
+
model.diffusion_model.output_blocks.3.0.in_layers.0.bias
|
865 |
+
model.diffusion_model.output_blocks.3.0.in_layers.0.weight
|
866 |
+
model.diffusion_model.output_blocks.3.0.in_layers.2.bias
|
867 |
+
model.diffusion_model.output_blocks.3.0.in_layers.2.weight
|
868 |
+
model.diffusion_model.output_blocks.3.0.out_layers.0.bias
|
869 |
+
model.diffusion_model.output_blocks.3.0.out_layers.0.weight
|
870 |
+
model.diffusion_model.output_blocks.3.0.out_layers.3.bias
|
871 |
+
model.diffusion_model.output_blocks.3.0.out_layers.3.weight
|
872 |
+
model.diffusion_model.output_blocks.3.0.skip_connection.bias
|
873 |
+
model.diffusion_model.output_blocks.3.0.skip_connection.weight
|
874 |
+
model.diffusion_model.output_blocks.3.1.norm.bias
|
875 |
+
model.diffusion_model.output_blocks.3.1.norm.weight
|
876 |
+
model.diffusion_model.output_blocks.3.1.proj_in.bias
|
877 |
+
model.diffusion_model.output_blocks.3.1.proj_in.weight
|
878 |
+
model.diffusion_model.output_blocks.3.1.proj_out.bias
|
879 |
+
model.diffusion_model.output_blocks.3.1.proj_out.weight
|
880 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_k.weight
|
881 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_out.0.bias
|
882 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_out.0.weight
|
883 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_q.weight
|
884 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_v.weight
|
885 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_k.weight
|
886 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_out.0.bias
|
887 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_out.0.weight
|
888 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_q.weight
|
889 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_v.weight
|
890 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.0.proj.bias
|
891 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.0.proj.weight
|
892 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.2.bias
|
893 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.2.weight
|
894 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm1.bias
|
895 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm1.weight
|
896 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm2.bias
|
897 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm2.weight
|
898 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm3.bias
|
899 |
+
model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm3.weight
|
900 |
+
model.diffusion_model.output_blocks.4.0.emb_layers.1.bias
|
901 |
+
model.diffusion_model.output_blocks.4.0.emb_layers.1.weight
|
902 |
+
model.diffusion_model.output_blocks.4.0.in_layers.0.bias
|
903 |
+
model.diffusion_model.output_blocks.4.0.in_layers.0.weight
|
904 |
+
model.diffusion_model.output_blocks.4.0.in_layers.2.bias
|
905 |
+
model.diffusion_model.output_blocks.4.0.in_layers.2.weight
|
906 |
+
model.diffusion_model.output_blocks.4.0.out_layers.0.bias
|
907 |
+
model.diffusion_model.output_blocks.4.0.out_layers.0.weight
|
908 |
+
model.diffusion_model.output_blocks.4.0.out_layers.3.bias
|
909 |
+
model.diffusion_model.output_blocks.4.0.out_layers.3.weight
|
910 |
+
model.diffusion_model.output_blocks.4.0.skip_connection.bias
|
911 |
+
model.diffusion_model.output_blocks.4.0.skip_connection.weight
|
912 |
+
model.diffusion_model.output_blocks.4.1.norm.bias
|
913 |
+
model.diffusion_model.output_blocks.4.1.norm.weight
|
914 |
+
model.diffusion_model.output_blocks.4.1.proj_in.bias
|
915 |
+
model.diffusion_model.output_blocks.4.1.proj_in.weight
|
916 |
+
model.diffusion_model.output_blocks.4.1.proj_out.bias
|
917 |
+
model.diffusion_model.output_blocks.4.1.proj_out.weight
|
918 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_k.weight
|
919 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_out.0.bias
|
920 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_out.0.weight
|
921 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_q.weight
|
922 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_v.weight
|
923 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_k.weight
|
924 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_out.0.bias
|
925 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_out.0.weight
|
926 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_q.weight
|
927 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_v.weight
|
928 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.0.proj.bias
|
929 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.0.proj.weight
|
930 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.2.bias
|
931 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.2.weight
|
932 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm1.bias
|
933 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm1.weight
|
934 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm2.bias
|
935 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm2.weight
|
936 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm3.bias
|
937 |
+
model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm3.weight
|
938 |
+
model.diffusion_model.output_blocks.5.0.emb_layers.1.bias
|
939 |
+
model.diffusion_model.output_blocks.5.0.emb_layers.1.weight
|
940 |
+
model.diffusion_model.output_blocks.5.0.in_layers.0.bias
|
941 |
+
model.diffusion_model.output_blocks.5.0.in_layers.0.weight
|
942 |
+
model.diffusion_model.output_blocks.5.0.in_layers.2.bias
|
943 |
+
model.diffusion_model.output_blocks.5.0.in_layers.2.weight
|
944 |
+
model.diffusion_model.output_blocks.5.0.out_layers.0.bias
|
945 |
+
model.diffusion_model.output_blocks.5.0.out_layers.0.weight
|
946 |
+
model.diffusion_model.output_blocks.5.0.out_layers.3.bias
|
947 |
+
model.diffusion_model.output_blocks.5.0.out_layers.3.weight
|
948 |
+
model.diffusion_model.output_blocks.5.0.skip_connection.bias
|
949 |
+
model.diffusion_model.output_blocks.5.0.skip_connection.weight
|
950 |
+
model.diffusion_model.output_blocks.5.1.norm.bias
|
951 |
+
model.diffusion_model.output_blocks.5.1.norm.weight
|
952 |
+
model.diffusion_model.output_blocks.5.1.proj_in.bias
|
953 |
+
model.diffusion_model.output_blocks.5.1.proj_in.weight
|
954 |
+
model.diffusion_model.output_blocks.5.1.proj_out.bias
|
955 |
+
model.diffusion_model.output_blocks.5.1.proj_out.weight
|
956 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_k.weight
|
957 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0.bias
|
958 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight
|
959 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_q.weight
|
960 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_v.weight
|
961 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_k.weight
|
962 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_out.0.bias
|
963 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_out.0.weight
|
964 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_q.weight
|
965 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_v.weight
|
966 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.0.proj.bias
|
967 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.0.proj.weight
|
968 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.2.bias
|
969 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.2.weight
|
970 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm1.bias
|
971 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm1.weight
|
972 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm2.bias
|
973 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm2.weight
|
974 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm3.bias
|
975 |
+
model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm3.weight
|
976 |
+
model.diffusion_model.output_blocks.5.2.conv.bias
|
977 |
+
model.diffusion_model.output_blocks.5.2.conv.weight
|
978 |
+
model.diffusion_model.output_blocks.6.0.emb_layers.1.bias
|
979 |
+
model.diffusion_model.output_blocks.6.0.emb_layers.1.weight
|
980 |
+
model.diffusion_model.output_blocks.6.0.in_layers.0.bias
|
981 |
+
model.diffusion_model.output_blocks.6.0.in_layers.0.weight
|
982 |
+
model.diffusion_model.output_blocks.6.0.in_layers.2.bias
|
983 |
+
model.diffusion_model.output_blocks.6.0.in_layers.2.weight
|
984 |
+
model.diffusion_model.output_blocks.6.0.out_layers.0.bias
|
985 |
+
model.diffusion_model.output_blocks.6.0.out_layers.0.weight
|
986 |
+
model.diffusion_model.output_blocks.6.0.out_layers.3.bias
|
987 |
+
model.diffusion_model.output_blocks.6.0.out_layers.3.weight
|
988 |
+
model.diffusion_model.output_blocks.6.0.skip_connection.bias
|
989 |
+
model.diffusion_model.output_blocks.6.0.skip_connection.weight
|
990 |
+
model.diffusion_model.output_blocks.6.1.norm.bias
|
991 |
+
model.diffusion_model.output_blocks.6.1.norm.weight
|
992 |
+
model.diffusion_model.output_blocks.6.1.proj_in.bias
|
993 |
+
model.diffusion_model.output_blocks.6.1.proj_in.weight
|
994 |
+
model.diffusion_model.output_blocks.6.1.proj_out.bias
|
995 |
+
model.diffusion_model.output_blocks.6.1.proj_out.weight
|
996 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn1.to_k.weight
|
997 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn1.to_out.0.bias
|
998 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn1.to_out.0.weight
|
999 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn1.to_q.weight
|
1000 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn1.to_v.weight
|
1001 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_k.weight
|
1002 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_out.0.bias
|
1003 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_out.0.weight
|
1004 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_q.weight
|
1005 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_v.weight
|
1006 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.ff.net.0.proj.bias
|
1007 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.ff.net.0.proj.weight
|
1008 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.ff.net.2.bias
|
1009 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.ff.net.2.weight
|
1010 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm1.bias
|
1011 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm1.weight
|
1012 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm2.bias
|
1013 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm2.weight
|
1014 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm3.bias
|
1015 |
+
model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm3.weight
|
1016 |
+
model.diffusion_model.output_blocks.7.0.emb_layers.1.bias
|
1017 |
+
model.diffusion_model.output_blocks.7.0.emb_layers.1.weight
|
1018 |
+
model.diffusion_model.output_blocks.7.0.in_layers.0.bias
|
1019 |
+
model.diffusion_model.output_blocks.7.0.in_layers.0.weight
|
1020 |
+
model.diffusion_model.output_blocks.7.0.in_layers.2.bias
|
1021 |
+
model.diffusion_model.output_blocks.7.0.in_layers.2.weight
|
1022 |
+
model.diffusion_model.output_blocks.7.0.out_layers.0.bias
|
1023 |
+
model.diffusion_model.output_blocks.7.0.out_layers.0.weight
|
1024 |
+
model.diffusion_model.output_blocks.7.0.out_layers.3.bias
|
1025 |
+
model.diffusion_model.output_blocks.7.0.out_layers.3.weight
|
1026 |
+
model.diffusion_model.output_blocks.7.0.skip_connection.bias
|
1027 |
+
model.diffusion_model.output_blocks.7.0.skip_connection.weight
|
1028 |
+
model.diffusion_model.output_blocks.7.1.norm.bias
|
1029 |
+
model.diffusion_model.output_blocks.7.1.norm.weight
|
1030 |
+
model.diffusion_model.output_blocks.7.1.proj_in.bias
|
1031 |
+
model.diffusion_model.output_blocks.7.1.proj_in.weight
|
1032 |
+
model.diffusion_model.output_blocks.7.1.proj_out.bias
|
1033 |
+
model.diffusion_model.output_blocks.7.1.proj_out.weight
|
1034 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_k.weight
|
1035 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_out.0.bias
|
1036 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_out.0.weight
|
1037 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_q.weight
|
1038 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_v.weight
|
1039 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_k.weight
|
1040 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_out.0.bias
|
1041 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_out.0.weight
|
1042 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_q.weight
|
1043 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_v.weight
|
1044 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.ff.net.0.proj.bias
|
1045 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.ff.net.0.proj.weight
|
1046 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.ff.net.2.bias
|
1047 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.ff.net.2.weight
|
1048 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm1.bias
|
1049 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm1.weight
|
1050 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm2.bias
|
1051 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm2.weight
|
1052 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm3.bias
|
1053 |
+
model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm3.weight
|
1054 |
+
model.diffusion_model.output_blocks.8.0.emb_layers.1.bias
|
1055 |
+
model.diffusion_model.output_blocks.8.0.emb_layers.1.weight
|
1056 |
+
model.diffusion_model.output_blocks.8.0.in_layers.0.bias
|
1057 |
+
model.diffusion_model.output_blocks.8.0.in_layers.0.weight
|
1058 |
+
model.diffusion_model.output_blocks.8.0.in_layers.2.bias
|
1059 |
+
model.diffusion_model.output_blocks.8.0.in_layers.2.weight
|
1060 |
+
model.diffusion_model.output_blocks.8.0.out_layers.0.bias
|
1061 |
+
model.diffusion_model.output_blocks.8.0.out_layers.0.weight
|
1062 |
+
model.diffusion_model.output_blocks.8.0.out_layers.3.bias
|
1063 |
+
model.diffusion_model.output_blocks.8.0.out_layers.3.weight
|
1064 |
+
model.diffusion_model.output_blocks.8.0.skip_connection.bias
|
1065 |
+
model.diffusion_model.output_blocks.8.0.skip_connection.weight
|
1066 |
+
model.diffusion_model.output_blocks.8.1.norm.bias
|
1067 |
+
model.diffusion_model.output_blocks.8.1.norm.weight
|
1068 |
+
model.diffusion_model.output_blocks.8.1.proj_in.bias
|
1069 |
+
model.diffusion_model.output_blocks.8.1.proj_in.weight
|
1070 |
+
model.diffusion_model.output_blocks.8.1.proj_out.bias
|
1071 |
+
model.diffusion_model.output_blocks.8.1.proj_out.weight
|
1072 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_k.weight
|
1073 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_out.0.bias
|
1074 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_out.0.weight
|
1075 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_q.weight
|
1076 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_v.weight
|
1077 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_k.weight
|
1078 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_out.0.bias
|
1079 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_out.0.weight
|
1080 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_q.weight
|
1081 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_v.weight
|
1082 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.ff.net.0.proj.bias
|
1083 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.ff.net.0.proj.weight
|
1084 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.ff.net.2.bias
|
1085 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.ff.net.2.weight
|
1086 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm1.bias
|
1087 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm1.weight
|
1088 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm2.bias
|
1089 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm2.weight
|
1090 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm3.bias
|
1091 |
+
model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm3.weight
|
1092 |
+
model.diffusion_model.output_blocks.8.2.conv.bias
|
1093 |
+
model.diffusion_model.output_blocks.8.2.conv.weight
|
1094 |
+
model.diffusion_model.output_blocks.9.0.emb_layers.1.bias
|
1095 |
+
model.diffusion_model.output_blocks.9.0.emb_layers.1.weight
|
1096 |
+
model.diffusion_model.output_blocks.9.0.in_layers.0.bias
|
1097 |
+
model.diffusion_model.output_blocks.9.0.in_layers.0.weight
|
1098 |
+
model.diffusion_model.output_blocks.9.0.in_layers.2.bias
|
1099 |
+
model.diffusion_model.output_blocks.9.0.in_layers.2.weight
|
1100 |
+
model.diffusion_model.output_blocks.9.0.out_layers.0.bias
|
1101 |
+
model.diffusion_model.output_blocks.9.0.out_layers.0.weight
|
1102 |
+
model.diffusion_model.output_blocks.9.0.out_layers.3.bias
|
1103 |
+
model.diffusion_model.output_blocks.9.0.out_layers.3.weight
|
1104 |
+
model.diffusion_model.output_blocks.9.0.skip_connection.bias
|
1105 |
+
model.diffusion_model.output_blocks.9.0.skip_connection.weight
|
1106 |
+
model.diffusion_model.output_blocks.9.1.norm.bias
|
1107 |
+
model.diffusion_model.output_blocks.9.1.norm.weight
|
1108 |
+
model.diffusion_model.output_blocks.9.1.proj_in.bias
|
1109 |
+
model.diffusion_model.output_blocks.9.1.proj_in.weight
|
1110 |
+
model.diffusion_model.output_blocks.9.1.proj_out.bias
|
1111 |
+
model.diffusion_model.output_blocks.9.1.proj_out.weight
|
1112 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_k.weight
|
1113 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_out.0.bias
|
1114 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_out.0.weight
|
1115 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_q.weight
|
1116 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_v.weight
|
1117 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_k.weight
|
1118 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_out.0.bias
|
1119 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_out.0.weight
|
1120 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_q.weight
|
1121 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_v.weight
|
1122 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.ff.net.0.proj.bias
|
1123 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.ff.net.0.proj.weight
|
1124 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.ff.net.2.bias
|
1125 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.ff.net.2.weight
|
1126 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm1.bias
|
1127 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm1.weight
|
1128 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm2.bias
|
1129 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm2.weight
|
1130 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm3.bias
|
1131 |
+
model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm3.weight
|
1132 |
+
model.diffusion_model.time_embed.0.bias
|
1133 |
+
model.diffusion_model.time_embed.0.weight
|
1134 |
+
model.diffusion_model.time_embed.2.bias
|
1135 |
+
model.diffusion_model.time_embed.2.weight
|
1136 |
+
model_ema.decay
|
1137 |
+
model_ema.num_updates
|
1138 |
+
posterior_log_variance_clipped
|
1139 |
+
posterior_mean_coef1
|
1140 |
+
posterior_mean_coef2
|
1141 |
+
posterior_variance
|
1142 |
+
sqrt_alphas_cumprod
|
1143 |
+
sqrt_one_minus_alphas_cumprod
|
1144 |
+
sqrt_recip_alphas_cumprod
|
1145 |
+
sqrt_recipm1_alphas_cumprod
|
keys/sd15_pruned_keys.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
keys/sdxl_diffusers_keys.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
keys/sdxl_keys.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
stkey.py
CHANGED
@@ -55,8 +55,9 @@ def read_safetensors_key(path: str):
|
|
55 |
try:
|
56 |
keys = []
|
57 |
state_dict = load_file(str(Path(path)))
|
58 |
-
for k
|
59 |
keys.append(k)
|
|
|
60 |
except Exception as e:
|
61 |
print(e)
|
62 |
finally:
|
|
|
55 |
try:
|
56 |
keys = []
|
57 |
state_dict = load_file(str(Path(path)))
|
58 |
+
for k in list(state_dict.keys()):
|
59 |
keys.append(k)
|
60 |
+
state_dict.pop(k)
|
61 |
except Exception as e:
|
62 |
print(e)
|
63 |
finally:
|
stkey_gr.py
CHANGED
@@ -1,16 +1,36 @@
|
|
1 |
import gradio as gr
|
2 |
-
from huggingface_hub import HfApi, hf_hub_url
|
3 |
import os
|
4 |
from pathlib import Path
|
5 |
import gc
|
6 |
import re
|
7 |
-
import
|
8 |
-
from utils import
|
9 |
from stkey import read_safetensors_key, read_safetensors_metadata, validate_keys, write_safetensors_key
|
10 |
|
11 |
|
12 |
TEMP_DIR = "."
|
13 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
|
15 |
|
16 |
def parse_urls(s):
|
@@ -30,25 +50,6 @@ def uniq_urls(s):
|
|
30 |
return to_urls(list_uniq(parse_urls(s)))
|
31 |
|
32 |
|
33 |
-
def upload_safetensors_to_repo(filename, repo_id, repo_type, is_private, progress=gr.Progress(track_tqdm=True)):
|
34 |
-
output_filename = Path(filename).name
|
35 |
-
hf_token = get_token()
|
36 |
-
api = HfApi(token=hf_token)
|
37 |
-
try:
|
38 |
-
if not is_repo_exists(repo_id, repo_type): api.create_repo(repo_id=repo_id, repo_type=repo_type, token=hf_token, private=is_private)
|
39 |
-
progress(0, desc=f"Start uploading... {filename} to {repo_id}")
|
40 |
-
api.upload_file(path_or_fileobj=filename, path_in_repo=output_filename, repo_type=repo_type, revision="main", token=hf_token, repo_id=repo_id)
|
41 |
-
progress(1, desc="Uploaded.")
|
42 |
-
url = hf_hub_url(repo_id=repo_id, repo_type=repo_type, filename=output_filename)
|
43 |
-
except Exception as e:
|
44 |
-
print(f"Error: Failed to upload to {repo_id}. {e}")
|
45 |
-
gr.Warning(f"Error: Failed to upload to {repo_id}. {e}")
|
46 |
-
return None
|
47 |
-
finally:
|
48 |
-
Path(filename).unlink()
|
49 |
-
return url
|
50 |
-
|
51 |
-
|
52 |
def download_file(dl_url, civitai_key, progress=gr.Progress(track_tqdm=True)):
|
53 |
download_dir = TEMP_DIR
|
54 |
progress(0, desc=f"Start downloading... {dl_url}")
|
@@ -100,5 +101,5 @@ def stkey_gr(dl_url: str, civitai_key: str, hf_token: str, urls: list[str], file
|
|
100 |
if len(paths) != 0: files.extend(paths)
|
101 |
progress(1, desc="Processing...")
|
102 |
gc.collect()
|
103 |
-
return gr.update(value=urls, choices=urls), gr.update(value=files), gr.update(visible=
|
104 |
|
|
|
1 |
import gradio as gr
|
|
|
2 |
import os
|
3 |
from pathlib import Path
|
4 |
import gc
|
5 |
import re
|
6 |
+
import shutil
|
7 |
+
from utils import set_token, get_download_file, list_uniq
|
8 |
from stkey import read_safetensors_key, read_safetensors_metadata, validate_keys, write_safetensors_key
|
9 |
|
10 |
|
11 |
TEMP_DIR = "."
|
12 |
+
KEYS_DIR = "keys"
|
13 |
+
KEYS_FILES = [f"{KEYS_DIR}/sdxl_keys.txt"]
|
14 |
+
DEFAULT_KEYS_FILE = f"{KEYS_DIR}/sdxl_keys.txt"
|
15 |
+
|
16 |
+
|
17 |
+
def update_keys_files():
|
18 |
+
global KEYS_FILES
|
19 |
+
files = []
|
20 |
+
for file in Path(KEYS_DIR).glob("*.txt"):
|
21 |
+
files.append(str(file))
|
22 |
+
KEYS_FILES = files
|
23 |
+
|
24 |
+
|
25 |
+
update_keys_files()
|
26 |
+
|
27 |
+
|
28 |
+
def upload_keys_file(path: str):
|
29 |
+
global KEYS_FILES
|
30 |
+
newpath = str(Path(KEYS_DIR, Path(path).stem + ".txt"))
|
31 |
+
if not Path(newpath).exists(): shutil.copy(str(Path(path)), newpath)
|
32 |
+
update_keys_files()
|
33 |
+
return gr.update(choices=KEYS_FILES)
|
34 |
|
35 |
|
36 |
def parse_urls(s):
|
|
|
50 |
return to_urls(list_uniq(parse_urls(s)))
|
51 |
|
52 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
53 |
def download_file(dl_url, civitai_key, progress=gr.Progress(track_tqdm=True)):
|
54 |
download_dir = TEMP_DIR
|
55 |
progress(0, desc=f"Start downloading... {dl_url}")
|
|
|
101 |
if len(paths) != 0: files.extend(paths)
|
102 |
progress(1, desc="Processing...")
|
103 |
gc.collect()
|
104 |
+
return gr.update(value=urls, choices=urls), gr.update(value=files), gr.update(visible=False), metadata, keys, missing, added
|
105 |
|
utils.py
CHANGED
@@ -64,7 +64,7 @@ def get_model_type(repo_id: str):
|
|
64 |
|
65 |
|
66 |
def list_uniq(l):
|
67 |
-
|
68 |
|
69 |
|
70 |
def list_sub(a, b):
|
@@ -130,7 +130,7 @@ def download_thing(directory, url, civitai_api_key="", progress=gr.Progress(trac
|
|
130 |
|
131 |
def get_local_model_list(dir_path):
|
132 |
model_list = []
|
133 |
-
valid_extensions = ('.safetensors')
|
134 |
for file in Path(dir_path).glob("**/*.*"):
|
135 |
if file.is_file() and file.suffix in valid_extensions:
|
136 |
file_path = str(file)
|
|
|
64 |
|
65 |
|
66 |
def list_uniq(l):
|
67 |
+
return sorted(set(l), key=l.index)
|
68 |
|
69 |
|
70 |
def list_sub(a, b):
|
|
|
130 |
|
131 |
def get_local_model_list(dir_path):
|
132 |
model_list = []
|
133 |
+
valid_extensions = ('.safetensors', '.fp16.safetensors', '.sft')
|
134 |
for file in Path(dir_path).glob("**/*.*"):
|
135 |
if file.is_file() and file.suffix in valid_extensions:
|
136 |
file_path = str(file)
|