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2026-04-21 21:29:45 +08:00
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docs/en/Diffusion_Templates/Introducing_Diffusion_Templates.md
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@@ -9,6 +9,7 @@ Diffusion Templates is a controllable generation plugin framework for Diffusion
* Diffusion Templates Architecture Details: [English Version](https://diffsynth-studio-doc.readthedocs.io/en/latest/Diffusion_Templates/Understanding_Diffusion_Templates.html), [中文版](https://diffsynth-studio-doc.readthedocs.io/zh-cn/latest/Diffusion_Templates/Understanding_Diffusion_Templates.html)
* Template Model Inference: [English Version](https://diffsynth-studio-doc.readthedocs.io/en/latest/Diffusion_Templates/Template_Model_Inference.html), [中文版](https://diffsynth-studio-doc.readthedocs.io/zh-cn/latest/Diffusion_Templates/Template_Model_Inference.html)
* Template Model Training: [English Version](https://diffsynth-studio-doc.readthedocs.io/en/latest/Diffusion_Templates/Template_Model_Training.html), [中文版](https://diffsynth-studio-doc.readthedocs.io/zh-cn/latest/Diffusion_Templates/Template_Model_Training.html)
* For template training code of the FLUX.2 series models, please refer to [FLUX.2](../Model_Details/FLUX2.md#model-overview).
* Online Demo: [ModelScope Creative Space](https://modelscope.cn/studios/DiffSynth-Studio/Diffusion-Templates)
* Models: [Collection](https://modelscope.cn/collections/DiffSynth-Studio/KleinBase4B-Templates)
* Structure Control: [DiffSynth-Studio/Template-KleinBase4B-ControlNet](https://modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-ControlNet)