A beginner's guide to the Ovi-I2v model by Character-Ai on Replicate

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This is a simplified guide to an AI model called Ovi-I2v maintained by Character-Ai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

ovi-i2v represents a breakthrough in audio-video generation by combining both modalities into a single unified process. Developed by Character AI, this model generates synchronized video and audio content from text and image inputs using twin-DiT modules with blockwise cross-modal fusion. Unlike traditional approaches that require separate pipelines for audio and video, this model eliminates the need for post-processing alignment by learning natural synchronization during training. The model produces cinematic-quality content with realistic sound effects and expressive speech that matches visual context. Compared to models like sora-2 and kling-v2.0, this system stands out by generating both audio and video simultaneously rather than adding audio as a separate step.

Model inputs and outputs

The model accepts flexible input combinations including text prompts with optional image conditioning. Users can provide prompts with special formatting tags to control speech synthesis and audio effects. The system generates 5-second video clips at 24 FPS with 720×720 resolution, though it can produce higher resolutions like 960×960 and various aspect ratios including 9:16, 16:9, and 1:1.

Inputs

prompt: Text description for video generation with optional speech and audio tags
image: Optional input image for image-to-video generation
seed: Random seed for reproducible results
audio_negative_prompt: Terms to avoid in audio generation (default: "robotic, muffled, echo, distorted")
video_negative_prompt: Terms to avoid in video generation (default: "jitter, bad hands, blur, distortion")