Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion (#1403)

Author: mi804

README.md

@@ -34,6 +34,15 @@ We believe that a well-developed open-source code framework can lower the thresh
 
 > Currently, the development personnel of this project are limited, with most of the work handled by [Artiprocher](https://github.com/Artiprocher) and [mi804](https://github.com/mi804). Therefore, the progress of new feature development will be relatively slow, and the speed of responding to and resolving issues is limited. We apologize for this and ask developers to understand.
 
+- **April 28, 2026** 🔥 We are excited to announce the release of **Diffusion Templates**, a plugin framework designed for Diffusion models that significantly lowers the barrier to training controllable generative models. Let's explore this cutting-edge technology together!
+    * Open-source code: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
+    * Technical report: [arXiv](https://arxiv.org/abs/2604.24351)
+    * Project homepage: [GitHub](https://modelscope.github.io/diffusion-templates-web/)
+    * Documentation: [English Version](https://diffsynth-studio-doc.readthedocs.io/en/latest/Diffusion_Templates/Introducing_Diffusion_Templates.html) | [Chinese Version](https://diffsynth-studio-doc.readthedocs.io/zh-cn/latest/Diffusion_Templates/Introducing_Diffusion_Templates.html)
+    * Online demo: [ModelScope](https://modelscope.cn/studios/DiffSynth-Studio/Diffusion-Templates)
+    * Model collections: [ModelScope](https://modelscope.cn/collections/DiffSynth-Studio/KleinBase4B-Templates) | [ModelScope International](https://modelscope.ai/collections/DiffSynth-Studio/KleinBase4B-Templates) | [HuggingFace](https://huggingface.co/collections/DiffSynth-Studio/kleinbase4b-templates)
+    * Datasets: [ModelScope](https://modelscope.cn/collections/DiffSynth-Studio/ImagePulseV2) | [ModelScope International](https://modelscope.ai/collections/DiffSynth-Studio/ImagePulseV2) | [HuggingFace](https://huggingface.co/collections/DiffSynth-Studio/imagepulsev2)
+
 - **April 27, 2026** We support ACE-Step-1.5! Support includes text-to-music generation, low VRAM inference, and LoRA training capabilities. For details, please refer to the [documentation](/docs/en/Model_Details/ACE-Step.md) and [example code](/examples/ace_step/).
 
 - **April 27, 2026**: We have reinstated support for the Stable Diffusion v1.5 and SDXL models, providing academic research support exclusively for these two model types.
@@ -96,7 +105,7 @@ We believe that a well-developed open-source code framework can lower the thresh
 
 - **August 20, 2025** We open-sourced the [DiffSynth-Studio/Qwen-Image-Edit-Lowres-Fix](https://www.modelscope.cn/models/DiffSynth-Studio/Qwen-Image-Edit-Lowres-Fix) model, improving the editing effect of Qwen-Image-Edit on low-resolution image inputs. Please refer to [our sample code](./examples/qwen_image/model_inference/Qwen-Image-Edit-Lowres-Fix.py)
 
-- **August 19, 2025** 🔥 Qwen-Image-Edit open-sourced, welcome a new member to the image editing model family!
+- **August 19, 2025** Qwen-Image-Edit open-sourced, welcome a new member to the image editing model family!
 
 - **August 18, 2025** We trained and open-sourced the Qwen-Image inpainting ControlNet model [DiffSynth-Studio/Qwen-Image-Blockwise-ControlNet-Inpaint](https://www.modelscope.cn/models/DiffSynth-Studio/Qwen-Image-Blockwise-ControlNet-Inpaint). The model structure adopts a lightweight design. Please refer to [our sample code](./examples/qwen_image/model_inference/Qwen-Image-Blockwise-ControlNet-Inpaint.py).
 
@@ -112,7 +121,7 @@ We believe that a well-developed open-source code framework can lower the thresh
 
 - **August 5, 2025** We open-sourced the distilled acceleration model [DiffSynth-Studio/Qwen-Image-Distill-Full](https://www.modelscope.cn/models/DiffSynth-Studio/Qwen-Image-Distill-Full) for Qwen-Image, achieving approximately 5x acceleration.
 
-- **August 4, 2025** 🔥 Qwen-Image open-sourced, welcome a new member to the image generation model family!
+- **August 4, 2025** Qwen-Image open-sourced, welcome a new member to the image generation model family!
 
 - **August 1, 2025** [FLUX.1-Krea-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Krea-dev) open-sourced, a text-to-image model focused on aesthetic photography. We provided comprehensive support in a timely manner, including low VRAM layer-by-layer offload, LoRA training, and full training. For more details, please refer to [./examples/flux/](./examples/flux/).
 
@@ -479,6 +488,17 @@ Example code for FLUX.2 is available at: [/examples/flux2/](/examples/flux2/)
 |[black-forest-labs/FLUX.2-klein-9B](https://www.modelscope.cn/models/black-forest-labs/FLUX.2-klein-9B)|[code](/examples/flux2/model_inference/FLUX.2-klein-9B.py)|[code](/examples/flux2/model_inference_low_vram/FLUX.2-klein-9B.py)|[code](/examples/flux2/model_training/full/FLUX.2-klein-9B.sh)|[code](/examples/flux2/model_training/validate_full/FLUX.2-klein-9B.py)|[code](/examples/flux2/model_training/lora/FLUX.2-klein-9B.sh)|[code](/examples/flux2/model_training/validate_lora/FLUX.2-klein-9B.py)|
 |[black-forest-labs/FLUX.2-klein-base-4B](https://www.modelscope.cn/models/black-forest-labs/FLUX.2-klein-base-4B)|[code](/examples/flux2/model_inference/FLUX.2-klein-base-4B.py)|[code](/examples/flux2/model_inference_low_vram/FLUX.2-klein-base-4B.py)|[code](/examples/flux2/model_training/full/FLUX.2-klein-base-4B.sh)|[code](/examples/flux2/model_training/validate_full/FLUX.2-klein-base-4B.py)|[code](/examples/flux2/model_training/lora/FLUX.2-klein-base-4B.sh)|[code](/examples/flux2/model_training/validate_lora/FLUX.2-klein-base-4B.py)|
 |[black-forest-labs/FLUX.2-klein-base-9B](https://www.modelscope.cn/models/black-forest-labs/FLUX.2-klein-base-9B)|[code](/examples/flux2/model_inference/FLUX.2-klein-base-9B.py)|[code](/examples/flux2/model_inference_low_vram/FLUX.2-klein-base-9B.py)|[code](/examples/flux2/model_training/full/FLUX.2-klein-base-9B.sh)|[code](/examples/flux2/model_training/validate_full/FLUX.2-klein-base-9B.py)|[code](/examples/flux2/model_training/lora/FLUX.2-klein-base-9B.sh)|[code](/examples/flux2/model_training/validate_lora/FLUX.2-klein-base-9B.py)|
+|[DiffSynth-Studio/Template-KleinBase4B-Aesthetic](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-Aesthetic)|[code](/examples/flux2/model_inference/Template-KleinBase4B-Aesthetic.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-Aesthetic.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-Aesthetic.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-Aesthetic.py)|-|-|
+|[DiffSynth-Studio/Template-KleinBase4B-Brightness](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-Brightness)|[code](/examples/flux2/model_inference/Template-KleinBase4B-Brightness.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-Brightness.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-Brightness.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-Brightness.py)|-|-|
+|[DiffSynth-Studio/Template-KleinBase4B-Age](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-Age)|[code](/examples/flux2/model_inference/Template-KleinBase4B-Age.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-Age.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-Age.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-Age.py)|-|-|
+|[DiffSynth-Studio/Template-KleinBase4B-ControlNet](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-ControlNet)|[code](/examples/flux2/model_inference/Template-KleinBase4B-ControlNet.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-ControlNet.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-ControlNet.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-ControlNet.py)|-|-|
+|[DiffSynth-Studio/Template-KleinBase4B-Edit](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-Edit)|[code](/examples/flux2/model_inference/Template-KleinBase4B-Edit.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-Edit.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-Edit.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-Edit.py)|-|-|
+|[DiffSynth-Studio/Template-KleinBase4B-Inpaint](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-Inpaint)|[code](/examples/flux2/model_inference/Template-KleinBase4B-Inpaint.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-Inpaint.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-Inpaint.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-Inpaint.py)|-|-|
+|[DiffSynth-Studio/Template-KleinBase4B-PandaMeme](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-PandaMeme)|[code](/examples/flux2/model_inference/Template-KleinBase4B-PandaMeme.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-PandaMeme.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-PandaMeme.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-PandaMeme.py)|-|-|
+|[DiffSynth-Studio/Template-KleinBase4B-Sharpness](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-Sharpness)|[code](/examples/flux2/model_inference/Template-KleinBase4B-Sharpness.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-Sharpness.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-Sharpness.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-Sharpness.py)|-|-|
+|[DiffSynth-Studio/Template-KleinBase4B-SoftRGB](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-SoftRGB)|[code](/examples/flux2/model_inference/Template-KleinBase4B-SoftRGB.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-SoftRGB.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-SoftRGB.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-SoftRGB.py)|-|-|
+|[DiffSynth-Studio/Template-KleinBase4B-Upscaler](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-Upscaler)|[code](/examples/flux2/model_inference/Template-KleinBase4B-Upscaler.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-Upscaler.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-Upscaler.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-Upscaler.py)|-|-|
+|[DiffSynth-Studio/Template-KleinBase4B-ContentRef](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-ContentRef)|[code](/examples/flux2/model_inference/Template-KleinBase4B-ContentRef.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-ContentRef.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-ContentRef.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-ContentRef.py)|-|-|
 
 </details>