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# SVDiff-pytorch
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<ahref="https://colab.research.google.com/github/mkshing/svdiff-pytorch/blob/main/scripts/svdiff_pytorch.ipynb"target="_parent"><imgsrc="https://colab.research.google.com/assets/colab-badge.svg"alt="Open In Colab"/></a>
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[](https://huggingface.co/spaces/svdiff-library/SVDiff-Training-UI)
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<ahref="https://colab.research.google.com/github/mkshing/svdiff-pytorch/blob/main/scripts/svdiff_pytorch.ipynb"target="_parent"><imgsrc="https://colab.research.google.com/assets/colab-badge.svg"alt="Open In Colab"/></a>
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[](https://huggingface.co/spaces/svdiff-library/SVDiff-Training-UI)
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An implementation of [SVDiff: Compact Parameter Space for Diffusion Fine-Tuning](https://arxiv.org/abs/2303.11305) by using d🧨ffusers.
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--num_images_per_prompt=2
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```
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## Gradio
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You can also try SVDiff-pytorch in a UI with [gradio](https://gradio.app/). This demo supports both training and inference!
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[](https://huggingface.co/spaces/svdiff-library/SVDiff-Training-UI)
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If you want to run it locally, run the following commands step by step.
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