End of training
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- README.md +47 -0
- checkpoint-70500/optimizer.bin +3 -0
- checkpoint-70500/random_states_0.pkl +3 -0
- checkpoint-70500/scheduler.bin +3 -0
- checkpoint-70500/text_encoder/config.json +25 -0
- checkpoint-70500/text_encoder/model.safetensors +3 -0
- checkpoint-70500/unet/config.json +68 -0
- checkpoint-70500/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-71000/optimizer.bin +3 -0
- checkpoint-71000/random_states_0.pkl +3 -0
- checkpoint-71000/scheduler.bin +3 -0
- checkpoint-71000/text_encoder/config.json +25 -0
- checkpoint-71000/text_encoder/model.safetensors +3 -0
- checkpoint-71000/unet/config.json +68 -0
- checkpoint-71000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-71500/optimizer.bin +3 -0
- checkpoint-71500/random_states_0.pkl +3 -0
- checkpoint-71500/scheduler.bin +3 -0
- checkpoint-71500/text_encoder/config.json +25 -0
- checkpoint-71500/text_encoder/model.safetensors +3 -0
- checkpoint-71500/unet/config.json +68 -0
- checkpoint-71500/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-72000/optimizer.bin +3 -0
- checkpoint-72000/random_states_0.pkl +3 -0
- checkpoint-72000/scheduler.bin +3 -0
- checkpoint-72000/text_encoder/config.json +25 -0
- checkpoint-72000/text_encoder/model.safetensors +3 -0
- checkpoint-72000/unet/config.json +68 -0
- checkpoint-72000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-72500/optimizer.bin +3 -0
- checkpoint-72500/random_states_0.pkl +3 -0
- checkpoint-72500/scheduler.bin +3 -0
- checkpoint-72500/text_encoder/config.json +25 -0
- checkpoint-72500/text_encoder/model.safetensors +3 -0
- checkpoint-72500/unet/config.json +68 -0
- checkpoint-72500/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-73000/optimizer.bin +3 -0
- checkpoint-73000/random_states_0.pkl +3 -0
- checkpoint-73000/scheduler.bin +3 -0
- checkpoint-73000/text_encoder/config.json +25 -0
- checkpoint-73000/text_encoder/model.safetensors +3 -0
- checkpoint-73000/unet/config.json +68 -0
- checkpoint-73000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-73500/optimizer.bin +3 -0
- checkpoint-73500/random_states_0.pkl +3 -0
- checkpoint-73500/scheduler.bin +3 -0
- checkpoint-73500/text_encoder/config.json +25 -0
- checkpoint-73500/text_encoder/model.safetensors +3 -0
- checkpoint-73500/unet/config.json +68 -0
- checkpoint-73500/unet/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
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library_name: diffusers
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license: creativeml-openrail-m
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inference: true
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instance_prompt: an image of Kanji character
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tags:
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- text-to-image
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- inception
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- diffusers-training
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- stable-diffusion
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- stable-diffusion-diffusers
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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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# Inception - Ksgk-fy/kanji_inception_finetune_v4
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This is an inception model derived from stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on an image of Kanji character using [Inception](https://inception.github.io/).
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You can find some example images in the following.
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Inception for the text encoder was enabled: True.
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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-70500/optimizer.bin
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checkpoint-70500/text_encoder/config.json
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{
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"_name_or_path": "stable-diffusion-v1-5/stable-diffusion-v1-5",
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"projection_dim": 768,
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"torch_dtype": "float32",
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"transformers_version": "4.48.1",
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"vocab_size": 49408
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}
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checkpoint-70500/unet/config.json
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"down_block_types": [
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"DownBlock2D"
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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}
|
checkpoint-73500/unet/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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oid sha256:058a7117259345d3380ae422458fc834196712e85cdf56bac3ec41af1ce48b63
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size 3438167536
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