End of training
Browse filesThis view is limited to 50 files because it contains too many changes.
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- .gitattributes +4 -0
- README.md +49 -0
- checkpoint-10000/controlnet/config.json +51 -0
- checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-12000/controlnet/config.json +51 -0
- checkpoint-12000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-12000/optimizer.bin +3 -0
- checkpoint-12000/random_states_0.pkl +3 -0
- checkpoint-12000/scheduler.bin +3 -0
- checkpoint-14000/controlnet/config.json +51 -0
- checkpoint-14000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-14000/optimizer.bin +3 -0
- checkpoint-14000/random_states_0.pkl +3 -0
- checkpoint-14000/scheduler.bin +3 -0
- checkpoint-16000/controlnet/config.json +51 -0
- checkpoint-16000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-16000/optimizer.bin +3 -0
- checkpoint-16000/random_states_0.pkl +3 -0
- checkpoint-16000/scheduler.bin +3 -0
- checkpoint-18000/controlnet/config.json +51 -0
- checkpoint-18000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-18000/optimizer.bin +3 -0
- checkpoint-18000/random_states_0.pkl +3 -0
- checkpoint-18000/scheduler.bin +3 -0
- checkpoint-2000/controlnet/config.json +51 -0
- checkpoint-2000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-20000/controlnet/config.json +51 -0
- checkpoint-20000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-20000/optimizer.bin +3 -0
- checkpoint-20000/random_states_0.pkl +3 -0
- checkpoint-20000/scheduler.bin +3 -0
- checkpoint-22000/controlnet/config.json +51 -0
- checkpoint-22000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-22000/optimizer.bin +3 -0
- checkpoint-22000/random_states_0.pkl +3 -0
- checkpoint-22000/scheduler.bin +3 -0
- checkpoint-24000/controlnet/config.json +51 -0
- checkpoint-24000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-24000/optimizer.bin +3 -0
- checkpoint-24000/random_states_0.pkl +3 -0
- checkpoint-24000/scheduler.bin +3 -0
- checkpoint-26000/controlnet/config.json +51 -0
- checkpoint-26000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-26000/optimizer.bin +3 -0
.gitattributes
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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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images_0.png filter=lfs diff=lfs merge=lfs -text
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images_1.png filter=lfs diff=lfs merge=lfs -text
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images_2.png filter=lfs diff=lfs merge=lfs -text
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images_3.png filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: runwayml/stable-diffusion-v1-5
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library_name: diffusers
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license: creativeml-openrail-m
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- controlnet
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- diffusers-training
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inference: true
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# controlnet-Jieya/model_out_canny_fullcaptioned_mountain
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These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
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You can find some example images below.
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prompt: a sunbeams shines through the clouds over mountains
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![images_0)](./images_0.png)
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prompt: a city in the mountains with trees and snow on top
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![images_1)](./images_1.png)
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prompt: a desert landscape with sand dunes and a sunset
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![images_2)](./images_2.png)
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prompt: an aerial view of a large crater with a mountain in the middle
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![images_3)](./images_3.png)
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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checkpoint-10000/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.30.0.dev0",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_time_embed_dim": null,
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"attention_head_dim": 8,
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"block_out_channels": [
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 768,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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"global_pool_conditions": false,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"resnet_time_scale_shift": "default",
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"upcast_attention": false,
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"use_linear_projection": false
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}
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checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors
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checkpoint-12000/controlnet/config.json
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}
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checkpoint-14000/controlnet/diffusion_pytorch_model.safetensors
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checkpoint-22000/controlnet/config.json
ADDED
@@ -0,0 +1,51 @@
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checkpoint-24000/controlnet/config.json
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checkpoint-26000/controlnet/config.json
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