vcolamatteo
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End of training
Browse files- README.md +21 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -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: stabilityai/stable-diffusion-2-1-base
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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 - vcolamatteo/dog_bs4_256_ppl_model_1_4
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These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. 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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LoRA for the text encoder was enabled: True.
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checkpoint-1000/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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size 12926369
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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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size 6500689
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checkpoint-1000/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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checkpoint-1000/scheduler.bin
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checkpoint-500/optimizer.bin
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checkpoint-500/pytorch_lora_weights.bin
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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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checkpoint-500/scheduler.bin
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pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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