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# Minimal makefile for Sphinx documentation
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#
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# You can set these variables from the command line, and also
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# from the environment for the first two.
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SPHINXOPTS ?=
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SPHINXBUILD ?= sphinx-build
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SOURCEDIR = .
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BUILDDIR = _build
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# Put it first so that "make" without argument is like "make help".
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help:
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@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
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.PHONY: help Makefile
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# Catch-all target: route all unknown targets to Sphinx using the new
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# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
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%: Makefile
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@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
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DiffSynth-Studio 文档
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=====================
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.. image:: https://img.shields.io/badge/license-Apache%202.0-blue
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:target: https://github.com/modelscope/DiffSynth-Studio/blob/main/LICENSE
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:alt: GitHub
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.. image:: https://img.shields.io/github/stars/modelscope/DiffSynth-Studio?style=social
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:target: https://github.com/modelscope/DiffSynth-Studio
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:alt: GitHub Repo stars
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欢迎来到 Diffusion 模型的魔法世界!`DiffSynth-Studio` 是由 `魔搭社区 <https://www.modelscope.cn/>`_ 团队开发和维护的开源 Diffusion 模型引擎。我们期望构建一个通用的 Diffusion 模型框架,以框架建设孵化技术创新,凝聚开源社区的力量,探索生成式模型技术的边界!
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.. raw:: html
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<details>
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<summary>文档阅读导引</summary>
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```mermaid
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graph LR;
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我想要使用模型进行推理和训练-->sec1[Section 1: 上手使用];
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我想要使用模型进行推理和训练-->sec2[Section 2: 模型详解];
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我想要使用模型进行推理和训练-->sec3[Section 3: 训练框架];
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我想要基于此框架进行二次开发-->sec3[Section 3: 训练框架];
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我想要基于此框架进行二次开发-->sec4[Section 4: 模型接入];
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我想要基于此框架进行二次开发-->sec5[Section 5: API 参考];
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我想要基于本项目探索新的技术-->sec4[Section 4: 模型接入];
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我想要基于本项目探索新的技术-->sec5[Section 5: API 参考];
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我想要基于本项目探索新的技术-->sec6[Section 6: 学术导引];
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我遇到了问题-->sec7[Section 7: 常见问题];
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```
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</details>
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Section 1: 上手使用
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-------------------
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本节介绍 ``DiffSynth-Studio`` 的基本使用方式,包括如何启用显存管理从而在极低显存的 GPU 上进行推理,以及如何训练任意基础模型、LoRA、ControlNet 等模型。
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.. toctree::
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:maxdepth: 1
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Pipeline_Usage/Setup
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Pipeline_Usage/Model_Inference
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Pipeline_Usage/VRAM_management
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Pipeline_Usage/Model_Training
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Pipeline_Usage/Environment_Variables
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Pipeline_Usage/GPU_support
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Section 2: 模型详解
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-------------------
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本节介绍 ``DiffSynth-Studio`` 所支持的 Diffusion 模型,部分模型 Pipeline 具备可控生成、并行加速等特色功能。
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.. toctree::
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:maxdepth: 1
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Model_Details/FLUX
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Model_Details/Wan
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Model_Details/Qwen-Image
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Model_Details/FLUX2
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Model_Details/Z-Image
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Section 3: 训练框架
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-------------------
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本节介绍 ``DiffSynth-Studio`` 中训练框架的设计思路,帮助开发者理解 Diffusion 模型训练算法的原理。
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.. toctree::
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:maxdepth: 1
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Training/Understanding_Diffusion_models
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Training/Supervised_Fine_Tuning
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Training/FP8_Precision
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Training/Direct_Distill
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Training/Split_Training
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Training/Differential_LoRA
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Section 4: 模型接入
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-------------------
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本节介绍如何将模型接入 ``DiffSynth-Studio`` 从而使用框架基础功能,帮助开发者为本项目提供新模型的支持,或进行私有化模型的推理和训练。
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.. toctree::
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:maxdepth: 1
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Developer_Guide/Integrating_Your_Model
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Developer_Guide/Building_a_Pipeline
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Developer_Guide/Enabling_VRAM_management
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Developer_Guide/Training_Diffusion_Models
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Section 5: API 参考
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-------------------
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本节介绍 ``DiffSynth-Studio`` 中的独立核心模块 ``diffsynth.core``,介绍内部的功能是如何设计和运作的,开发者如有需要,可将其中的功能模块用于其他代码库的开发中。
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.. toctree::
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:maxdepth: 1
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API_Reference/core/attention
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API_Reference/core/data
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API_Reference/core/gradient
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API_Reference/core/loader
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API_Reference/core/vram
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Section 6: 学术导引
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-------------------
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本节介绍如何利用 ``DiffSynth-Studio`` 训练新的模型,帮助科研工作者探索新的模型技术。
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.. toctree::
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:maxdepth: 1
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Research_Tutorial/train_from_scratch
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Section 7: 常见问题
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-------------------
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本节总结了开发者常见的问题,如果你在使用和开发中遇到了问题,请参考本节内容,如果仍无法解决,请到 GitHub 上给我们提 issue。
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.. toctree::
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:maxdepth: 1
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QA
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.. note::
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本文档持续更新中,如有任何问题或建议,请在 `GitHub Issues <https://github.com/modelscope/DiffSynth-Studio/issues>`_ 中提出。
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