End of training
Browse files- README.md +25 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.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.safetensors +3 -0
README.md
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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 dog
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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 - Seokeon/V14_R256_lora_none_dog6
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog 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-500/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:54a38e9214db767e1c2e83e528d5d91f14db60f113758a4f2e278c1c4985f9b2
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size 6592122
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checkpoint-500/pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8ba3be5166a2254ed6af3f70943501d031b4c515e940ae1121afcbf2c3dd5ed
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size 3226184
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checkpoint-500/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:54e7cb1ed8c0c9a10d258758b25cc5bbcd6a019c19159ed30b0ed17d7b8c8e60
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size 14280
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checkpoint-500/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6cf34ac8dd2addc454aeb1ee4eaba3267c2841857e117be40ac2ed02cf581c9c
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size 1000
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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.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8ba3be5166a2254ed6af3f70943501d031b4c515e940ae1121afcbf2c3dd5ed
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size 3226184
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