---
title: LongAnimateDiff
canonical_url: "https://www.modelscope.cn/models/Lightricks/LongAnimateDiff"
md_url: "https://www.modelscope.cn/models/Lightricks/LongAnimateDiff.md"
repository: Lightricks/LongAnimateDiff
last_updated: 2025-02-17
pipeline_tag: text-to-video-synthesis
tasks:
  - text-to-video-synthesis
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 749
stars: 1
---

# LongAnimateDiff

> LongAnimateDiff - Lightricks 在 ModelScope 开源的模型。Sapir Weissbuch, Naomi Ken Korem, Daniel Shalem, Yoav HaCohen | Lightricks Research

- **Repository**: Lightricks/LongAnimateDiff
- **Tasks**: text-to-video-synthesis
- **Downloads**: 749
- **Stars**: 1
- **Last updated**: 2025-02-17

Source: https://www.modelscope.cn/models/Lightricks/LongAnimateDiff

---

License: Apache-2.0

# LongAnimateDiff

[Sapir Weissbuch](https://github.com/SapirW), [Naomi Ken Korem](https://github.com/Naomi-Ken-Korem), [Daniel Shalem](https://github.com/dshalem), [Yoav HaCohen](https://github.com/yoavhacohen) | Lightricks Research


We are pleased to release the "LongAnimateDiff" model, which has been trained to generate videos with a variable frame count, 
ranging from 16 to 64 frames. 
This model is compatible with the original AnimateDiff model.

We release two models:
1. The LongAnimateDiff model, capable of generating videos with frame counts ranging from 16 to 64. For optimal results, we recommend using a motion scale of 1.28.
2. A specialized model designed to generate 32-frame videos. This model typically produces higher quality videos compared to the LongAnimateDiff model supporting 16-64 frames. 
   For better results, use a motion scale of 1.15.



Ths original AnimateDiff model can be found here: https://huggingface.co/guoyww/animatediff