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 stuffed animal
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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_lora_none_bear_plushie
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks stuffed animal using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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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 sha256:23bd2c5851278ddc63eb1b4c0eb745a5bc2702d60581cbe1bec2ca23bc382c2e
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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:dd213de96a90d87e176bd3f76af19267f2b976d674ee27e5b4eef27c52af702e
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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:dd213de96a90d87e176bd3f76af19267f2b976d674ee27e5b4eef27c52af702e
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size 3226184
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