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End of training
Browse files- README.md +25 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scheduler.bin +3 -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: Uminosachi/realisticVisionV51_v51VAE-inpainting
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instance_prompt: hta, photograph, woman
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tags:
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- if
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- if-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 - styleai/lds-w227-inpaint
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These are LoRA adaption weights for Uminosachi/realisticVisionV51_v51VAE-inpainting. The weights were trained on hta, photograph, woman 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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checkpoint-1000/pytorch_lora_weights.safetensors
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checkpoint-1000/random_states_0.pkl
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checkpoint-1000/scheduler.bin
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checkpoint-1500/pytorch_lora_weights.safetensors
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checkpoint-500/optimizer.bin
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checkpoint-500/pytorch_lora_weights.safetensors
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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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