huggingface/diffusers

[Looking for community contribution] support Wan 2.2 S2V: an audio-driven cinematic video generation model

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#12257 opened on Aug 29, 2025

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 (4 comments) (1 reaction) (0 assignees)Python (22,190 stars) (4,562 forks)batch import
Good second issuecontributions-welcomehelp wanted

Description

We're super excited about the Wan 2.2 S2V (Speech-to-Video) model and want to get it integrated into Diffusers! This would be an amazing addition, and we're looking for experienced community contributors to help make this happen.

This is a priority for us, so we will try review fast and actively collabrate with you throughout the process :)

Contributor guide

Tech stack
pythonpytorch
Domain
machine learningai
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
over 1 week
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
Familiarity with diffusers libraryExperience with PyTorchUnderstanding of diffusion modelsAudio processing basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
15
Research direction
The issue requests integration of the Wan2.2 S2V model into diffusers. Start by studying the project page and source code links provided. Examine existing model pipelines in diffusers (e.g., text to video or image to video) to understand the expected pattern. Review the model's architecture and weight loading. Then propose a pipeline that handles audio input and generates video. Consult the diffusers contribution guide for new models. The maintainers have promised fast review; engage with them for design decisions.