DiffSynth Studio is a Diffusion engine. We have restructured architectures including Text Encoder, UNet, VAE, among others, maintaining compatibility with models from the open-source community while enhancing computational performance. We provide many interesting features. Enjoy the magic of Diffusion models!

Until now, DiffSynth Studio has supported the following models:

• ExVideo
• Kolors
• Stable Diffusion 3
• Stable Video Diffusion
• Hunyuan-DiT
• RIFE
• ESRGAN
• Ip-Adapter
• AnimateDiff
• ControlNet
• Stable Diffusion XL
• Stable Diffusion

• June 21, 2024. 🔥🔥🔥 We propose ExVideo, a post-tuning technique aimed at enhancing the capability of video generation models. We have extended Stable Video Diffusion to achieve the generation of long videos up to 128 frames.

  • Project Page
  • Source code is released in this repo. See examples/ExVideo.
  • Models are released on HuggingFace and ModelScope.
  • Technical report is released on arXiv.
  • You can try ExVideo in this Demo!

• June 13, 2024. DiffSynth Studio is transferred to ModelScope. The developers have transitioned from "I" to "we". Of course, I will still participate in development and maintenance.

• Jan 29, 2024. We propose Diffutoon, a fantastic solution for toon shading.

  • Project Page
  • The source codes are released in this project.
  • The technical report (IJCAI 2024) is released on arXiv.

• Dec 8, 2023. We decide to develop a new Project, aiming to release the potential of diffusion models, especially in video synthesis. The development of this project is started.

• Nov 15, 2023. We propose FastBlend, a powerful video deflickering algorithm.

  • The sd-webui extension is released on GitHub.
  • Demo videos are shown on Bilibili, including three tasks.
    • Video deflickering
    • Video interpolation
    • Image-driven video rendering
  • The technical report is released on arXiv.
  • An unofficial ComfyUI extension developed by other users is released on GitHub.

• Oct 1, 2023. We release an early version of this project, namely FastSDXL. A try for building a diffusion engine.

  • The source codes are released on GitHub.
  • FastSDXL includes a trainable OLSS scheduler for efficiency improvement.
    • The original repo of OLSS is here.
    • The technical report (CIKM 2023) is released on arXiv.
    • A demo video is shown on Bilibili.
    • Since OLSS requires additional training, we don't implement it in this project.

• Aug 29, 2023. We propose DiffSynth, a video synthesis framework.

  • Project Page.
  • The source codes are released in EasyNLP.
  • The technical report (ECML PKDD 2024) is released on arXiv.

git clone https://github.com/modelscope/DiffSynth-Studio.git
cd DiffSynth-Studio
pip install -e .

The Python examples are in examples. We provide an overview here.

We trained an extended video synthesis model, which can generate 128 frames. examples/ExVideo

Generate high-resolution images, by breaking the limitation of diffusion models! examples/image_synthesis.

LoRA fine-tuning is supported in examples/train.

Model	Example
Stable Diffusion
Stable Diffusion XL
Stable Diffusion 3
Kolors
Hunyuan-DiT

Render realistic videos in a flatten style and enable video editing features. examples/Diffutoon

Video stylization without video models. examples/diffsynth

python -m streamlit run DiffSynth_Studio.py