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- README.md +22 -0
- checkpoint-100/custom_checkpoint_0.pkl +3 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_model.bin +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scaler.pt +3 -0
- checkpoint-100/scheduler.bin +3 -0
- checkpoint-1000/custom_checkpoint_0.pkl +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_model.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-200/custom_checkpoint_0.pkl +3 -0
- checkpoint-200/optimizer.bin +3 -0
- checkpoint-200/pytorch_model.bin +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scaler.pt +3 -0
- checkpoint-200/scheduler.bin +3 -0
- checkpoint-300/custom_checkpoint_0.pkl +3 -0
- checkpoint-300/optimizer.bin +3 -0
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- checkpoint-400/custom_checkpoint_0.pkl +3 -0
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- checkpoint-800/custom_checkpoint_0.pkl +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: stabilityai/stable-diffusion-2-1-base
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instance_prompt: milora
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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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inference: true
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---
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# LoRA DreamBooth - milora20-test
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These are LoRA adaption weights for [stabilityai/stable-diffusion-2-1-base](https://huggingface.co/stabilityai/stable-diffusion-2-1-base). The weights were trained on the instance prompt "milora" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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Test prompt: milora
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![image_0](test_images/image_0.png)
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![image_1](test_images/image_1.png)
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![image_2](test_images/image_2.png)
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![image_3](test_images/image_3.png)
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checkpoint-700/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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checkpoint-700/pytorch_model.bin
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checkpoint-700/random_states_0.pkl
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checkpoint-700/scaler.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-700/scheduler.bin
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checkpoint-800/custom_checkpoint_0.pkl
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