End of training
Browse files- .gitattributes +4 -0
- README.md +27 -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-50/optimizer.bin +3 -0
- checkpoint-50/pytorch_lora_weights.safetensors +3 -0
- checkpoint-50/random_states_0.pkl +3 -0
- checkpoint-50/scaler.pt +3 -0
- checkpoint-50/scheduler.bin +3 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- pytorch_lora_weights.safetensors +3 -0
.gitattributes
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README.md
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---
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license: creativeml-openrail-m
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base_model: /mnt/blob/stable-diffusion-xl-base-1.0
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dataset: lambdalabs/pokemon-blip-captions
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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 - Chenhsing/carturn-model-lora-sdxl
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These are LoRA adaption weights for /mnt/blob/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the lambdalabs/pokemon-blip-captions dataset. You can find some example images in the following.
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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![img_3](./image_3.png)
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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-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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image_0.png
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image_1.png
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pytorch_lora_weights.safetensors
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