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hunyuanvideo examples

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2024-12-19 13:28:44 +08:00
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README.md
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@@ -17,6 +17,7 @@ DiffSynth Studio is a Diffusion engine. We have restructured architectures inclu
Until now, DiffSynth Studio has supported the following models:
* [HunyuanVideo](https://github.com/Tencent/HunyuanVideo)
* [CogVideoX](https://huggingface.co/THUDM/CogVideoX-5b)
* [FLUX](https://huggingface.co/black-forest-labs/FLUX.1-dev)
* [ExVideo](https://huggingface.co/ECNU-CILab/ExVideo-SVD-128f-v1)
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## News
- **December 19, 2024** We implement advanced VRAM management for HunyuanVideo, making it possible to generate videos at a resolution of 129x720x1280 using 24GB of VRAM, or at 129x512x384 resolution with just 6GB of VRAM. Please refer to [./examples/HunyuanVideo/](./examples/HunyuanVideo/) for more details.
- **October 25, 2024** We provide extensive FLUX ControlNet support. This project supports many different ControlNet models that can be freely combined, even if their structures differ. Additionally, ControlNet models are compatible with high-resolution refinement and partition control techniques, enabling very powerful controllable image generation. See [`./examples/ControlNet/`](./examples/ControlNet/).
- **October 8, 2024.** We release the extended LoRA based on CogVideoX-5B and ExVideo. You can download this model from [ModelScope](https://modelscope.cn/models/ECNU-CILab/ExVideo-CogVideoX-LoRA-129f-v1) or [HuggingFace](https://huggingface.co/ECNU-CILab/ExVideo-CogVideoX-LoRA-129f-v1).

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examples/HunyuanVideo/README.md
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# HunyuanVideo
[HunyuanVideo](https://www.modelscope.cn/models/AI-ModelScope/HunyuanVideo) is a video generation model trained by Tencent. We provide advanced VRAM management for this model, including three stages:
[HunyuanVideo](https://github.com/Tencent/HunyuanVideo) is a video generation model trained by Tencent. We provide advanced VRAM management for this model, including three stages:
|VRAM required|Example script|Frames|Resolution|Note|
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