End of training
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- .gitattributes +3 -0
- .gitignore +2 -0
- README.md +22 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/pytorch_model.bin +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scaler.pt +3 -0
- checkpoint-10000/scheduler.bin +3 -0
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- checkpoint-15000/pytorch_model.bin +3 -0
- checkpoint-15000/random_states_0.pkl +3 -0
- checkpoint-15000/scaler.pt +3 -0
- checkpoint-15000/scheduler.bin +3 -0
- checkpoint-20000/optimizer.bin +3 -0
- checkpoint-20000/pytorch_model.bin +3 -0
- checkpoint-20000/random_states_0.pkl +3 -0
- checkpoint-20000/scaler.pt +3 -0
- checkpoint-20000/scheduler.bin +3 -0
- checkpoint-25000/optimizer.bin +3 -0
- checkpoint-25000/pytorch_model.bin +3 -0
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- checkpoint-30000/pytorch_model.bin +3 -0
- checkpoint-30000/random_states_0.pkl +3 -0
- checkpoint-30000/scaler.pt +3 -0
- checkpoint-30000/scheduler.bin +3 -0
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- checkpoint-5000/optimizer.bin +3 -0
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- checkpoint-5000/scheduler.bin +3 -0
- checkpoint-50000/optimizer.bin +3 -0
- checkpoint-50000/pytorch_model.bin +3 -0
.gitattributes
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@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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.gitignore
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step_*
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epoch_*
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README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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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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- lora
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- controlnet
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- control-lora
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inference: true
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---
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# ControlLoRA text2image fine-tuning - https://huggingface.co/wtcherr/sd-unsplash_10k_canny-model-control-lora
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These are ControlLoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the wtcherr/unsplash_10k_canny dataset. You can find some example images in the following.
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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checkpoint-5000/scaler.pt
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checkpoint-5000/scheduler.bin
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checkpoint-50000/optimizer.bin
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