Longcat Multi Avatar

Longcat Multi Avatar is a LongCat route built for image-and-audio-driven avatar animation. It turns a portrait reference and speech audio into a synchronized talking-character video, giving creators a focused endpoint instead of forcing one generic workflow across materially different production tasks. The route belongs to a family known for efficient generation, stable visual continuity, and practical media workflows, so it is best evaluated as a creative system for intentional shots and assets rather than as a one-click novelty generator.

Use this endpoint when the input contract and deliverable match that job exactly. Its documented controls include seed (The seed for the random number generator); audio_type choices (para, add); resolution choices (480p, 720p); bbox_person1 (Bounding box for person 1. If not provided, defaults to left half of image). Together, these controls help teams plan predictable iterations, compare outputs under stable settings, and connect generation to high-volume creative iteration and avatar or video production without hiding the operational choices that shape the result.

Highlights

• Purpose-built Image-and-audio-driven avatar animation. The route accepts a portrait reference and speech audio and produces a synchronized talking-character video; its interface is scoped to that transformation, keeping source assets and creative intent explicit.
• Creative direction. Prompts can describe subject behavior, composition, camera intent, lighting, material, atmosphere, and temporal progression so the result is driven by a shot plan rather than isolated keywords.
• Route-specific control. The request exposes seed (The seed for the random number generator); audio_type choices (para, add); resolution choices (480p, 720p); bbox_person1 (Bounding box for person 1. If not provided, defaults to left half of image), allowing the same concept to be tested systematically while preserving a repeatable production setup.
• Pipeline-ready output. The generated media asset is returned through the documented asynchronous output contract, which suits review queues, batch iteration, and downstream automation. Editors can review pacing, continuity, lens language, choreography, transitions, temporal artifacts, soundtrack alignment, color response, delivery framing, and cut compatibility before approval.

Pricing

When to Use

Prompt Guide

Start with the desired result, then describe the source relationship, subject action, composition or camera behavior, lighting, style, and timing. For image-and-audio-driven avatar animation, state what must remain stable as clearly as what should change. Use only fields exposed by the schema; the example below is structurally valid for this route.

{
  "prompt": "Static camera, In a professional recording studio, two people stand facing each other, both wearing large headphones. They are speaking clearly into a large condenser microphone suspended between them. They looked at each other affectionately and occasionally shook their heads according to the rhythm. The soundproofed walls and visible recording equipment create an atmosphere focused on capturing high-quality audio as they interact and communicate.",
  "image": "https://example.com/image.jpg",
  "seed": 1,
  "audio_type": "para",
  "resolution": "480p"
}

Technical Specs

Related Models

• meituan/longcat-image
• meituan/longcat-video/image-to-video-480p
• meituan/longcat-video/image-to-video
• meituan/longcat-video/distilled/image-to-video-480p