Synchronized video-plus-audio generation
According to the model card, the model generates synchronized video and audio simultaneously from text-only or text-plus-image conditioning.
Open Source Model Profile · chetwinlow1
Ovi is a chetwinlow1 image-to-video model for synchronized video-plus-audio generation. Captured metadata reports about 11.66B parameters.
Ovi is published by chetwinlow1 as an image-to-video model for joint audio-video generation. Captured Safetensors metadata reports 11,660,753,108 parameters. According to the model card, it generates synchronized video and audio from text or text-plus-image inputs, with Ovi 1.1 supporting 10-second output at 960x960 resolution.
According to the model card, the model generates synchronized video and audio simultaneously from text-only or text-plus-image conditioning.
The model card describes temporally consistent 10-second or 5-second videos at 24 FPS and 960x960 resolution across several aspect ratios.
The card documents an updated prompt format with <S> and <E> speech tags and Audio: descriptions replacing the older AUDCAP format.
According to the model card, fp8 and qint8 weights support 24GB VRAM execution, with CPU offload, sequence parallelism, and single- or multi-GPU inference scripts.
Source: chetwinlow1/Ovi
Captured: Unknown. Processed: 2026-09-07T19:35:54.808431+00:00.
Ovi: Twin Backbone Cross-Modal Fusion for Audio-Video Generation Chetwin Low * 1 , Weimin Wang * † 1 , Calder Katyal 2 * Equal contribution, † Project Lead 1 Character AI, 2 Yale University 🎥 Video Demo 🆕 Ovi 1.1 10-Second Demo Ovi 1.1 – 10-second temporally consistent video generation (960 × 960 resolution) 🎬 Original 5-Second Demo 🆕 Ovi 1.1 Update (10 November 2025) Key Feature: Enables temporal-consistent 10-second video generation at 960 × 960 resolution Training Improvements: - Trained natively on 960×960 resolution videos - Dataset includes 100% more videos for greater diversity Prompt Format Update: Audio descriptions sho…
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