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Latestchetwinlow11.0
chetwinlow1Image → Video

Ovi Syncs Audio and Video in New Open-Source Model

Built on the Wan2.2 architecture, this new 5-billion-parameter model generates short video clips from a single image and simultaneously creates synchronized audio.

Sep 30, 2025
NotableApache 2.0
Ovi

A new open-source model named Ovi has been released, offering a significant step forward in generative media by combining image-to-video creation with synchronized audio. Released by community developer Chetwin Low, the 5-billion-parameter model allows users to generate short video clips from a static image, with an accompanying audio track that matches the visual content. The entire project is available under a permissive Apache 2.0 license.

The model is built upon the foundation of Wan2.2-TI2V-5B, a powerful text-and-image-to-video architecture. Ovi refines this base by specializing in the image-to-video task and integrating a novel audio generation component. The result is a unified system capable of producing more immersive and complete video clips than many existing open-source alternatives. You can explore the model and its components on its Hugging Face repository.

How It Works

Ovi's functionality is split into two core components that work in tandem:

  • Ovi-I2V: The primary image-to-video module responsible for animating the source image into a coherent video sequence.
  • Ovi-AAV: The audio generation module, which creates sound effects or ambient noise designed to align with the generated visuals.

This two-part structure allows the model to first generate the visual motion and then produce an appropriate audio layer, ensuring the final output feels cohesive. The integration of audio directly into the generation pipeline is a key differentiator for the model.

For the open-source AI community, Ovi represents an important move toward more holistic creative tools. While separate models for video and audio generation exist, integrated and synchronized systems have largely been the domain of closed, proprietary platforms. By providing a capable, open-licensed model that handles both, Ovi empowers developers and creators to experiment with richer, multi-sensory AI-generated content.

Sources

  • chetwinlow1/Ovi

    Hugging Face

    Visit
OlderZhipu AI Releases Open-Weight MoE Model GLM-4.6Zhipu AI · Text / LLM · last yearNewerKani TTS 370M Offers Compact Multilingual Speechnineninesix · Text → Speech · last year

Get the model

Hugging Face

Specs

Parameters5B
Resolution960×960
Frame rate24 fps
Max duration10s
PrecisionBF16
LicenseAPACHE-2.0
Downloads70
Likes302

Can you run it?

Runs on a laptop — about 6 GB at FP8.

  • BF16 (as published)

    12 GB GPU (RTX 3060 / 4070) · 16 GB Mac

    11 GB
  • FP8

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    6 GB
Your machine
  • Parameter count is an editorial estimate — no weights metadata on Hugging Face.
  • Covers the published checkpoint; text encoders and VAE loaded alongside may add a few GB (many runtimes offload them to CPU).

Estimated from the parameter count. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Image → Video

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