End of training
Browse files- README.md +27 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/pytorch_lora_weights.bin +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scaler.pt +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/pytorch_lora_weights.bin +3 -0
- checkpoint-5000/random_states_0.pkl +3 -0
- checkpoint-5000/scaler.pt +3 -0
- checkpoint-5000/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.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-xl-base-1.0
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dataset: None
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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 text2image fine-tuning - tangjs/sd-model-finetuned-lora
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the None dataset. 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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checkpoint-10000/optimizer.bin
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checkpoint-10000/pytorch_lora_weights.bin
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checkpoint-10000/random_states_0.pkl
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checkpoint-10000/scaler.pt
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checkpoint-10000/scheduler.bin
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checkpoint-5000/optimizer.bin
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checkpoint-5000/random_states_0.pkl
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checkpoint-5000/scaler.pt
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checkpoint-5000/scheduler.bin
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image_0.png
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pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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