End of training
Browse files- README.md +21 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_lora_weights.safetensors +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scaler.pt +3 -0
- checkpoint-100/scheduler.bin +3 -0
- checkpoint-200/optimizer.bin +3 -0
- checkpoint-200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scaler.pt +3 -0
- checkpoint-200/scheduler.bin +3 -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: stabilityai/stable-diffusion-2-1
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instance_prompt: cardboards, grayscale
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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 - reeen115/lora_output_2-1
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These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on cardboards, grayscale 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-100/optimizer.bin
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checkpoint-100/pytorch_lora_weights.safetensors
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checkpoint-100/random_states_0.pkl
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checkpoint-100/scaler.pt
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checkpoint-100/scheduler.bin
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checkpoint-200/optimizer.bin
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checkpoint-200/scaler.pt
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pytorch_lora_weights.safetensors
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