---
title: AnimateLCM-SVD-xt
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/AnimateLCM-SVD-xt"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/AnimateLCM-SVD-xt.md"
repository: AI-ModelScope/AnimateLCM-SVD-xt
last_updated: 2024-02-27
pipeline_tag: image-to-video
tasks:
  - image-to-video
parameters: 3.0B
tensor_type:
  - F32
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 5748
stars: 3
---

# AnimateLCM-SVD-xt

> AnimateLCM-SVD-xt - AI-ModelScope 在 ModelScope 开源的模型。Samples generated by AnimateLCM-SVD-xt

- **Repository**: AI-ModelScope/AnimateLCM-SVD-xt
- **Tasks**: image-to-video
- **Parameters**: 3.0B
- **Downloads**: 5748
- **Stars**: 3
- **Last updated**: 2024-02-27

Source: https://www.modelscope.cn/models/AI-ModelScope/AnimateLCM-SVD-xt

---

<p align="center">
  <img src="./demos/demo-01.gif" width="70%" /> 
  <img src="./demos/demo-02.gif" width="70%" />
  <img src="./demos/demo-03.gif" width="70%" />

</p>
<p align="center">Samples generated by AnimateLCM-SVD-xt</p>


## Introduction
Consistency Distilled [Stable Video Diffusion Image2Video-XT (SVD-xt)](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt) following the strategy proposed in [AnimateLCM-paper](https://arxiv.org/abs/2402.00769).
AnimateLCM-SVD-xt can generate good quality image-conditioned videos with 25 frames in 2~8 steps with 576x1024 resolutions.

## Computation comparsion
AnimateLCM-SVD-xt can generally produces demos with good quality in 4 steps without requiring the classifier-free guidance, and therefore can save 25 x 2 / 4 = 12.5 times compuation resources compared with normal SVD models.


## Demos

|     |     |     |
| :---: | :---: | :---: |
| ![Alt text 1](./demos/01-2.gif) | ![Alt text 2](./demos/01-4.gif) | ![Alt text 3](./demos/01-8.gif) |
| 2 steps, cfg=1 | 4 steps, cfg=1 | 8 steps, cfg=1 |
| ![Alt text 1](./demos/02-2.gif) | ![Alt text 2](./demos/02-4.gif) | ![Alt text 3](./demos/02-8.gif) |
| 2 steps, cfg=1 | 4 steps, cfg=1 | 8 steps, cfg=1 |
| ![Alt text 1](./demos/03-2.gif) | ![Alt text 2](./demos/03-4.gif) | ![Alt text 3](./demos/03-8.gif) |
| 2 steps, cfg=1 | 4 steps, cfg=1 | 8 steps, cfg=1 |
| ![Alt text 1](./demos/04-2.gif) | ![Alt text 2](./demos/04-4.gif) | ![Alt text 3](./demos/04-8.gif) |
| 2 steps, cfg=1 | 4 steps, cfg=1 | 8 steps, cfg=1 |
| ![Alt text 1](./demos/05-2.gif) | ![Alt text 2](./demos/05-4.gif) | ![Alt text 3](./demos/05-8.gif) |
| 2 steps, cfg=1 | 4 steps, cfg=1 | 8 steps, cfg=1 |



I have launched a gradio demo at [AnimateLCM SVD space](https://huggingface.co/spaces/wangfuyun/AnimateLCM-SVD). Should you have any questions, please contact Fu-Yun Wang (fywang@link.cuhk.edu.hk). I might respond a bit later. Thank you!
