End of training
Browse files- README.md +21 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/pytorch_model.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.safetensors +3 -0
README.md
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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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- 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 - hyeju/sd-pokemon-model-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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![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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checkpoint-5000/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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size 6591685
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checkpoint-5000/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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checkpoint-5000/random_states_0.pkl
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checkpoint-5000/scaler.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-5000/scheduler.bin
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image_0.png
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image_1.png
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image_2.png
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image_3.png
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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size 3227336
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