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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-1100/custom_checkpoint_0.pkl +3 -0
- checkpoint-1100/optimizer.bin +3 -0
- checkpoint-1100/pytorch_model.bin +3 -0
- checkpoint-1100/random_states_0.pkl +3 -0
- checkpoint-1100/scaler.pt +3 -0
- checkpoint-1100/scheduler.bin +3 -0
- checkpoint-1200/custom_checkpoint_0.pkl +3 -0
- checkpoint-1200/optimizer.bin +3 -0
- checkpoint-1200/pytorch_model.bin +3 -0
- checkpoint-1200/random_states_0.pkl +3 -0
- checkpoint-1200/scaler.pt +3 -0
- checkpoint-1200/scheduler.bin +3 -0
- checkpoint-1300/custom_checkpoint_0.pkl +3 -0
- checkpoint-1300/optimizer.bin +3 -0
- checkpoint-1300/pytorch_model.bin +3 -0
- checkpoint-1300/random_states_0.pkl +3 -0
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- checkpoint-1300/scheduler.bin +3 -0
- checkpoint-1400/custom_checkpoint_0.pkl +3 -0
- checkpoint-1400/optimizer.bin +3 -0
- checkpoint-1400/pytorch_model.bin +3 -0
- checkpoint-1400/random_states_0.pkl +3 -0
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- checkpoint-1500/custom_checkpoint_0.pkl +3 -0
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- checkpoint-1600/scaler.pt +3 -0
- checkpoint-1600/scheduler.bin +3 -0
- checkpoint-200/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: wyt
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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 - wyta
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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 "wyt" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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Test prompt: wyt,1girl
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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-1600/optimizer.bin
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checkpoint-1600/pytorch_model.bin
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checkpoint-1600/random_states_0.pkl
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checkpoint-1600/scaler.pt
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checkpoint-1600/scheduler.bin
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