End of training
Browse files- README.md +25 -0
- checkpoint-1000/pytorch_lora_weights.bin +3 -0
- checkpoint-1200/pytorch_lora_weights.bin +3 -0
- checkpoint-1400/pytorch_lora_weights.bin +3 -0
- checkpoint-1600/pytorch_lora_weights.bin +3 -0
- checkpoint-1800/pytorch_lora_weights.bin +3 -0
- checkpoint-200/pytorch_lora_weights.bin +3 -0
- checkpoint-2000/pytorch_lora_weights.bin +3 -0
- checkpoint-400/pytorch_lora_weights.bin +3 -0
- checkpoint-600/pytorch_lora_weights.bin +3 -0
- checkpoint-800/pytorch_lora_weights.bin +3 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- pytorch_lora_weights.bin +3 -0
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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instance_prompt: a photo of dlrb portrait
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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 - wujia/dlrb_result
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of dlrb portrait 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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![img_2](./image_2.png)
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![img_3](./image_3.png)
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LoRA for the text encoder was enabled: False.
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checkpoint-1000/pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c291fc3a5e32cf9568c201d413a5c6e8b48c8f7b574a5775c3d416310760b957
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size 3289051
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checkpoint-1200/pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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size 3289051
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checkpoint-1400/pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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checkpoint-1600/pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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image_0.png
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image_1.png
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image_2.png
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image_3.png
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pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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size 3289051
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