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.github/workflows/mirror_community_pipeline.yml

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else
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# e.g. refs/tags/v0.28.1 -> v0.28.1
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echo "CHECKOUT_REF=${{ github.ref }}" >> $GITHUB_ENV
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echo "PATH_IN_REPO=${${{ github.ref }}#refs/tags/}" >> $GITHUB_ENV
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echo "PATH_IN_REPO=$(echo ${{ github.ref }} | sed 's/^refs\/tags\///')" >> $GITHUB_ENV
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fi
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- name: Print env vars
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run: |

README.md

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2020
<br>
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<p>
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<p align="center">
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<a href="https://github.com/huggingface/diffusers/blob/main/LICENSE">
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<img alt="GitHub" src="https://img.shields.io/github/license/huggingface/datasets.svg?color=blue">
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</a>
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<a href="https://github.com/huggingface/diffusers/releases">
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<img alt="GitHub release" src="https://img.shields.io/github/release/huggingface/diffusers.svg">
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</a>
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<a href="https://pepy.tech/project/diffusers">
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<img alt="GitHub release" src="https://static.pepy.tech/badge/diffusers/month">
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</a>
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<a href="CODE_OF_CONDUCT.md">
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<img alt="Contributor Covenant" src="https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg">
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</a>
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<a href="https://twitter.com/diffuserslib">
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<img alt="X account" src="https://img.shields.io/twitter/url/https/twitter.com/diffuserslib.svg?style=social&label=Follow%20%40diffuserslib">
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</a>
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<a href="https://github.com/huggingface/diffusers/blob/main/LICENSE"><img alt="GitHub" src="https://img.shields.io/github/license/huggingface/datasets.svg?color=blue"></a>
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<a href="https://github.com/huggingface/diffusers/releases"><img alt="GitHub release" src="https://img.shields.io/github/release/huggingface/diffusers.svg"></a>
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<a href="https://pepy.tech/project/diffusers"><img alt="GitHub release" src="https://static.pepy.tech/badge/diffusers/month"></a>
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<a href="CODE_OF_CONDUCT.md"><img alt="Contributor Covenant" src="https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg"></a>
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<a href="https://twitter.com/diffuserslib"><img alt="X account" src="https://img.shields.io/twitter/url/https/twitter.com/diffuserslib.svg?style=social&label=Follow%20%40diffuserslib"></a>
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</p>
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🤗 Diffusers is the go-to library for state-of-the-art pretrained diffusion models for generating images, audio, and even 3D structures of molecules. Whether you're looking for a simple inference solution or training your own diffusion models, 🤗 Diffusers is a modular toolbox that supports both. Our library is designed with a focus on [usability over performance](https://huggingface.co/docs/diffusers/conceptual/philosophy#usability-over-performance), [simple over easy](https://huggingface.co/docs/diffusers/conceptual/philosophy#simple-over-easy), and [customizability over abstractions](https://huggingface.co/docs/diffusers/conceptual/philosophy#tweakable-contributorfriendly-over-abstraction).

docker/diffusers-doc-builder/Dockerfile

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huggingface-hub \
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Jinja2 \
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librosa \
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numpy \
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numpy==1.26.4 \
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scipy \
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tensorboard \
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transformers \

docker/diffusers-flax-cpu/Dockerfile

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huggingface-hub \
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Jinja2 \
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librosa \
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numpy \
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numpy==1.26.4 \
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scipy \
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tensorboard \
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transformers

docker/diffusers-flax-tpu/Dockerfile

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hf-doc-builder \
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huggingface-hub \
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Jinja2 \
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librosa \
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numpy \
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librosa \
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numpy==1.26.4 \
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tensorboard \
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transformers

docker/diffusers-onnxruntime-cpu/Dockerfile

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Jinja2 \
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librosa \
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numpy \
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numpy==1.26.4 \
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scipy \
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tensorboard \
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transformers

docker/diffusers-onnxruntime-cuda/Dockerfile

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huggingface-hub \
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Jinja2 \
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librosa \
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numpy \
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numpy==1.26.4 \
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scipy \
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tensorboard \
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transformers

docker/diffusers-pytorch-compile-cuda/Dockerfile

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numpy \
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numpy==1.26.4 \
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scipy \
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tensorboard \
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transformers

docker/diffusers-pytorch-cpu/Dockerfile

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Jinja2 \
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librosa \
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numpy \
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numpy==1.26.4 \
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scipy \
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tensorboard \
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transformers matplotlib

docker/diffusers-pytorch-cuda/Dockerfile

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numpy \
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numpy==1.26.4 \
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scipy \
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tensorboard \
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transformers \

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