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README.md
13
README.md
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DiffSynth-Studio redesigns the inference and training pipelines for mainstream Diffusion models (including FLUX, Wan, etc.), enabling efficient memory management and flexible model training.
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> Before using model inference or training, you can configure the model download source via [environment variables](/docs/en/Pipeline_Usage/Environment_Variables.md). By default, this project downloads models from ModelScope. Users outside China can switch the download source to Hugging Face:
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<details>
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<summary>Environment Variable Configuration</summary>
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> Before running model inference or training, you can configure settings such as the model download source via [environment variables](/docs/en/Pipeline_Usage/Environment_Variables.md).
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>
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> By default, this project downloads models from ModelScope. For users outside China, you can configure the system to download models from the ModelScope international site as follows:
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>
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> ```python
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> import os
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> os.environ["DIFFSYNTH_DOWNLOAD_SOURCE"] = "huggingface"
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> os.environ["MODELSCOPE_DOMAIN"] = "www.modelscope.ai"
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> ```
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>
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> To download models from other sources, please modify the environment variable [DIFFSYNTH_DOWNLOAD_SOURCE](/docs/en/Pipeline_Usage/Environment_Variables.md#diffsynth_download_source).
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</details>
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### Image Synthesis
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README_zh.md
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README_zh.md
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DiffSynth-Studio 为主流 Diffusion 模型(包括 FLUX、Wan 等)重新设计了推理和训练流水线,能够实现高效的显存管理、灵活的模型训练。
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> 在进行模型推理和训练前,可通过[环境变量](/docs/zh/Pipeline_Usage/Environment_Variables.md)配置模型下载源,本项目默认从魔搭社区下载模型,非中国用户可将模型下载源修改为 Huggingface:
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<details>
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<summary>环境变量配置</summary>
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> 在进行模型推理和训练前,可通过[环境变量](/docs/zh/Pipeline_Usage/Environment_Variables.md)配置模型下载源等。
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>
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> 本项目默认从魔搭社区下载模型。对于非中国区域的用户,可以通过以下配置从魔搭社区的国际站下载模型:
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>
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> ```python
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> import os
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> os.environ["DIFFSYNTH_DOWNLOAD_SOURCE"] = "huggingface"
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> os.environ["MODELSCOPE_DOMAIN"] = "www.modelscope.ai"
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> ```
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>
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> 如需从其他站点下载,请修改[环境变量 DIFFSYNTH_DOWNLOAD_SOURCE](/docs/zh/Pipeline_Usage/Environment_Variables.md#diffsynth_download_source)。
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</details>
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### 图像生成模型
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