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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
- checkpoint-300/pytorch_model.bin +3 -0
- checkpoint-300/random_states_0.pkl +3 -0
- checkpoint-300/scaler.pt +3 -0
- checkpoint-300/scheduler.bin +3 -0
- checkpoint-400/custom_checkpoint_0.pkl +3 -0
- checkpoint-400/optimizer.bin +3 -0
- checkpoint-400/pytorch_model.bin +3 -0
- checkpoint-400/random_states_0.pkl +3 -0
- checkpoint-400/scaler.pt +3 -0
- checkpoint-400/scheduler.bin +3 -0
- checkpoint-500/custom_checkpoint_0.pkl +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_model.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- checkpoint-600/custom_checkpoint_0.pkl +3 -0
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- checkpoint-700/scaler.pt +3 -0
- checkpoint-700/scheduler.bin +3 -0
- 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: felps
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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 - felps-model
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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 "felps" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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Test prompt: felps
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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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