End of training
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- .gitattributes +4 -0
- README.md +27 -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/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1200/optimizer.bin +3 -0
- checkpoint-1200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1200/random_states_0.pkl +3 -0
- checkpoint-1200/scaler.pt +3 -0
- checkpoint-1200/scheduler.bin +3 -0
- checkpoint-1400/optimizer.bin +3 -0
- checkpoint-1400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1400/random_states_0.pkl +3 -0
- checkpoint-1400/scaler.pt +3 -0
- checkpoint-1400/scheduler.bin +3 -0
- checkpoint-1600/optimizer.bin +3 -0
- checkpoint-1600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1600/random_states_0.pkl +3 -0
- checkpoint-1600/scaler.pt +3 -0
- checkpoint-1600/scheduler.bin +3 -0
- checkpoint-1800/optimizer.bin +3 -0
- checkpoint-1800/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1800/random_states_0.pkl +3 -0
- checkpoint-1800/scaler.pt +3 -0
- checkpoint-1800/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
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scaler.pt +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-400/optimizer.bin +3 -0
- checkpoint-400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-400/random_states_0.pkl +3 -0
- checkpoint-400/scaler.pt +3 -0
- checkpoint-400/scheduler.bin +3 -0
- checkpoint-600/optimizer.bin +3 -0
- checkpoint-600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-600/random_states_0.pkl +3 -0
- checkpoint-600/scaler.pt +3 -0
- checkpoint-600/scheduler.bin +3 -0
- checkpoint-800/optimizer.bin +3 -0
- checkpoint-800/pytorch_lora_weights.safetensors +3 -0
- checkpoint-800/random_states_0.pkl +3 -0
.gitattributes
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README.md
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---
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license: openrail++
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: a photograph of the Yul toy bear
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-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 - Kendong/Yul_teddy
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a photograph of the Yul toy bear 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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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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ADDED
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ADDED
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checkpoint-600/scaler.pt
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checkpoint-600/scheduler.bin
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checkpoint-800/optimizer.bin
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checkpoint-800/pytorch_lora_weights.safetensors
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checkpoint-800/random_states_0.pkl
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