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End of training
Browse files- README.md +2 -2
- checkpoint-100/optimizer.bin +1 -1
- checkpoint-100/pytorch_model.bin +1 -1
- checkpoint-100/scheduler.bin +1 -1
- checkpoint-200/optimizer.bin +1 -1
- checkpoint-200/pytorch_model.bin +1 -1
- checkpoint-200/scheduler.bin +1 -1
- checkpoint-300/optimizer.bin +3 -0
- checkpoint-300/pytorch_model.bin +3 -0
- checkpoint-300/random_states_0.pkl +3 -0
- checkpoint-300/scaler.pt +3 -0
- checkpoint-300/scheduler.bin +3 -0
- image_0.png +2 -2
- image_1.png +2 -2
- image_2.png +2 -2
- image_3.png +2 -2
- pytorch_lora_weights.bin +1 -1
README.md
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---
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license: creativeml-openrail-m
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base_model:
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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---
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# LoRA text2image fine-tuning - https://huggingface.co/mikephillips/pokemon-lora
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These are LoRA adaption weights for
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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---
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# LoRA text2image fine-tuning - https://huggingface.co/mikephillips/pokemon-lora
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. 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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checkpoint-100/optimizer.bin
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checkpoint-300/optimizer.bin
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pytorch_lora_weights.bin
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