SkyReels-A1

SkyReels-A1: Expressive Portrait Animation in Video Diffusion Transformers

<p align="center"> <img src="assets/logo2.png" alt="Skyreels Logo" width="60%"> </p> <!-- <p align="center"> <img src="assets/logo.jpg" alt="Skyreels Logo" width="200"> </p> --> <p align="center"> <a href="https://github.com/SkyworkAI/SkyReels-A1" target="_blank">🌐 Github</a> · <a href="https://www.skyreels.ai/home?utm_campaign=huggingface_A1" target="_blank">👋 Playground</a> · <a href="https://discord.gg/PwM6NYtccQ" target="_blank">Discord</a> </p>

This repo contains Diffusers style model weights for Skyreels A1 models. You can find the inference code on SkyReels-A1 repository.

🔥🔥🔥 News!!

• Mar 4, 2025: 🎉 We release audio-driven portrait image animation pipeline. SkyReels-A1
• Feb 18, 2025: 👋 We release the inference code and model weights of SkyReels-A1.
• Feb 18, 2025: 🔥 We have open-sourced I2V video generation model SkyReels-V1. This is the first and most advanced open-source human-centric video foundation model.

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Overview of SkyReels-A1 framework. Given an input video sequence and a reference portrait image, we extract facial expression-aware landmarks from the video, which serve as motion descriptors for transferring expressions onto the portrait. Utilizing a conditional video generation framework based on DiT, our approach directly integrates these facial expression-aware landmarks into the input latent space. In alignment with prior research, we employ a pose guidance mechanism constructed within a VAE architecture. This component encodes facial expression-aware landmarks as conditional input for the DiT framework, thereby enabling the model to capture essential low- dimensional visual attributes while preserving the semantic integrity of facial features.

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Some generated results:

<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/62e34a12c9bece303d146af8/licoAeSaF-K8x7DO7SGUG.mp4"></video>

<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/62e34a12c9bece303d146af8/5q0p2jyw183fcJoeq0dvF.mp4"></video>

<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/62e34a12c9bece303d146af8/1aZweOIszlriQLRwSqnGq.mp4"></video>

<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/62e34a12c9bece303d146af8/5bfjDxGZJf-5WnGpFHppw.mp4"></video>

Citation

If you find SkyReels-A1 useful for your research, welcome to cite our work using the following BibTeX:

@article{qiu2025skyreels,
  title={SkyReels-A1: Expressive Portrait Animation in Video Diffusion Transformers},
  author={Qiu, Di and Fei, Zhengcong and Wang, Rui and Bai, Jialin and Yu, Changqian and Fan, Mingyuan and Chen, Guibin and Wen, Xiang},
  journal={arXiv preprint arXiv:2502.10841},
  year={2025}
}