End of training
Browse files- README.md +3 -3
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- checkpoint-100/model.safetensors +1 -1
- checkpoint-100/optimizer.bin +1 -1
- checkpoint-100/random_states_0.pkl +1 -1
- checkpoint-200/custom_checkpoint_0.pkl +1 -1
- checkpoint-200/model.safetensors +1 -1
- checkpoint-200/optimizer.bin +1 -1
- checkpoint-200/random_states_0.pkl +1 -1
- checkpoint-300/custom_checkpoint_0.pkl +1 -1
- checkpoint-300/model.safetensors +1 -1
- checkpoint-300/optimizer.bin +1 -1
- checkpoint-300/random_states_0.pkl +1 -1
- checkpoint-400/custom_checkpoint_0.pkl +1 -1
- checkpoint-400/model.safetensors +1 -1
- checkpoint-400/optimizer.bin +1 -1
- checkpoint-400/random_states_0.pkl +1 -1
- checkpoint-500/custom_checkpoint_0.pkl +1 -1
- checkpoint-500/model.safetensors +1 -1
- checkpoint-500/optimizer.bin +1 -1
- checkpoint-500/random_states_0.pkl +1 -1
- image_0.png +2 -2
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- pytorch_lora_weights.bin +1 -1
README.md
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---
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license: creativeml-openrail-m
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base_model:
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instance_prompt: a
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# LoRA DreamBooth - seonggyun/carpet
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These are LoRA adaption weights for
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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instance_prompt: a photo of sks carpet
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# LoRA DreamBooth - seonggyun/carpet
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks carpet using [DreamBooth](https://dreambooth.github.io/). 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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