Grok Imagine Video v1.5 Developer Reference-to-Video

What it does

Grok Imagine Video v1.5 Developer Reference-to-Video, in practice.

Grok Imagine Video V1.5 is a frontier-tier video generation model developed by xAI that produces short clips of up to 15 seconds with natively generated, synchronized audio — including dialogue, lip-sync, sound effects, and ambient music — in a single inference pass. This README applies to the following API model identifier: Reference-to-video is the identity-preserving mode: you supply 1–7 reference images that contribute specific people, products, or visual styles. The prompt then directs how those references behave, using `` tags to bind each reference to its role in the scene. Built on xAI's Aurora engine — an autoregressive mixture-of-experts (MoE) network that jointly models text, imag

• 1–7 Reference Images: Multiple references can be combined in a single generation — a person from one image, a product from another, a setting or style from a third. Each is addressed independently in the prompt.
• Tag-Based Binding: References are bound to scene roles explicitly through `` … `` tags in the prompt, so the model is told which reference plays which part rather than inferring it.
• Native Synchronized Audio Generation: Audio is generated jointly with video tokens in a single inference pass, producing event-aligned sound effects and natural lip-sync.
• Granular Duration Control (1–15 seconds): Clips can be requested at any integer second from 1 to 15.
• Broad Format Support: Outputs H.264 MP4 at 24 FPS across seven aspect ratios (1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3), at 480p or 720p.
• One subject per reference image. Clean, well-lit, unobstructed references preserve identity best; crowded or low-resolution references degrade likeness.