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https://github.com/modelscope/DiffSynth-Studio.git
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54 lines
1.5 KiB
Markdown
54 lines
1.5 KiB
Markdown
# 安装依赖
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从源码安装（推荐）：
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```
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git clone https://github.com/modelscope/DiffSynth-Studio.git
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cd DiffSynth-Studio
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pip install -e .
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```
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从 pypi 安装（存在版本更新延迟，如需使用最新功能，请从源码安装）
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```
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pip install diffsynth
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```
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## GPU/NPU 支持
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* NVIDIA GPU
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按照以上方式安装即可。
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* AMD GPU
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需安装支持 ROCm 的 `torch` 包，以 ROCm 6.4（本文更新于 2025 年 12 月 15 日）、Linux 系统为例，请运行以下命令
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```shell
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pip install torch torchvision --index-url https://download.pytorch.org/whl/rocm6.4
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```
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* Ascend NPU
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1. 通过官方文档安装[CANN](https://www.hiascend.com/document/detail/zh/canncommercial/83RC1/softwareinst/instg/instg_quick.html?Mode=PmIns&InstallType=local&OS=openEuler&Software=cannToolKit)
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2. 从源码安装
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```shell
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git clone https://github.com/modelscope/DiffSynth-Studio.git
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cd DiffSynth-Studio
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# aarch64/ARM
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pip install -e .[npu_aarch64] --extra-index-url "https://download.pytorch.org/whl/cpu"
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# x86
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pip install -e .[npu]
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使用 Ascend NPU 时，请将 Python 代码中的 `"cuda"` 改为 `"npu"`，详见[NPU 支持](/docs/zh/Pipeline_Usage/GPU_support.md#ascend-npu)。
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## 其他安装问题
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如果在安装过程中遇到问题，可能是由上游依赖包导致的，请参考这些包的文档：
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* [torch](https://pytorch.org/get-started/locally/)
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* [Ascend/pytorch](https://github.com/Ascend/pytorch)
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* [sentencepiece](https://github.com/google/sentencepiece)
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* [cmake](https://cmake.org)
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