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@@ -13,9 +13,15 @@ Document: https://diffsynth-studio.readthedocs.io/zh-cn/latest/index.html
## Introduction
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!
Welcome to the magic world of Diffusion models!
Until now, DiffSynth Studio has supported the following models:
DiffSynth consists of two open-source projects:
* [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio): Focused on aggressive technological exploration. Targeted at academia. Provides more cutting-edge technical support and novel inference capabilities.
* [DiffSynth-Engine](https://github.com/modelscope/DiffSynth-Engine): Focused on stable model deployment. Geared towards industry. Offers better engineering support, higher computational performance, and more stable functionality.
DiffSynth-Studio is an open-source project aimed at exploring innovations in AIGC technology. We have integrated numerous open-source Diffusion models, including FLUX and Wan, among others. Through this open-source project, we hope to connect models within the open-source community and explore new technologies based on diffusion models.
Until now, DiffSynth-Studio has supported the following models:
* [Wan-Video](https://github.com/Wan-Video/Wan2.1)
* [StepVideo](https://github.com/stepfun-ai/Step-Video-T2V)
@@ -36,7 +42,9 @@ Until now, DiffSynth Studio has supported the following models:
* [Stable Diffusion](https://huggingface.co/runwayml/stable-diffusion-v1-5)
## News
- **March 25, 2025** We support HunyuanVideo-I2V, the image-to-video generation version of HunyuanVideo open-sourced by Tencent. Please refer to [./examples/HunyuanVideo/](./examples/HunyuanVideo/) for more details.
- **March 25, 2025** 🔥🔥🔥 Our new open-source project, [DiffSynth-Engine](https://github.com/modelscope/DiffSynth-Engine), is now open-sourced! Focused on stable model deployment. Geared towards industry. Offers better engineering support, higher computational performance, and more stable functionality.
- **March 13, 2025** We support HunyuanVideo-I2V, the image-to-video generation version of HunyuanVideo open-sourced by Tencent. Please refer to [./examples/HunyuanVideo/](./examples/HunyuanVideo/) for more details.
- **February 25, 2025** We support Wan-Video, a collection of SOTA video synthesis models open-sourced by Alibaba. See [./examples/wanvideo/](./examples/wanvideo/).
@@ -73,7 +81,7 @@ Until now, DiffSynth Studio has supported the following models:
- Enable CFG and highres-fix to improve visual quality. See [here](/examples/image_synthesis/README.md)
- LoRA, ControlNet, and additional models will be available soon.
- **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.
- **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](https://ecnu-cilab.github.io/ExVideoProjectPage/)
- Source code is released in this repo. See [`examples/ExVideo`](./examples/ExVideo/).
- Models are released on [HuggingFace](https://huggingface.co/ECNU-CILab/ExVideo-SVD-128f-v1) and [ModelScope](https://modelscope.cn/models/ECNU-CILab/ExVideo-SVD-128f-v1).