LongCat Single Avatar

LongCat Single 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); resolution choices (480p, 720p); num_segments (Number of video segments to generate. Each segment adds ~5 seconds of video. First segment is ~5.8s, additional segments are 5s each); text_guidance_scale (The text guidance scale for classifier-free guidance). 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); resolution choices (480p, 720p); num_segments (Number of video segments to generate. Each segment adds ~5 seconds of video. First segment is ~5.8s, additional segments are 5s each); text_guidance_scale (The text guidance scale for classifier-free guidance), 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": "A western man stands on stage under dramatic lighting, holding a microphone close to their mouth. Wearing a vibrant red jacket with gold embroidery, the singer is speaking while smoke swirls around them, creating a dynamic and atmospheric scene.",
  "image": "https://example.com/image.jpg",
  "seed": 1,
  "audio": "https://example.com/audio.mp3",
  "resolution": "480p"
}

Technical Specs

Related Models

• meituan/longcat-single-avatar/audio-to-video