Longcat Image

Longcat Image is a LongCat route built for text-to-image generation. It turns a visual brief covering subject, composition, light, and style into a finished still image matching the requested art direction, 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 same seed and the same prompt given to the same version of the model will output the same image every time. ); aspect_ratio choices (21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16); output_format choices (jpeg, png); guidance_scale (The guidance scale to use for the image generation). 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 Text-to-image generation. The route accepts a visual brief covering subject, composition, light, and style and produces a finished still image matching the requested art direction; 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 same seed and the same prompt given to the same version of the model will output the same image every time. ); aspect_ratio choices (21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16); output_format choices (jpeg, png); guidance_scale (The guidance scale to use for the image generation), 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 text-to-image generation, 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 lioness crouching in the tall dry grass of the Serengeti during golden hour, intense gaze, telephoto lens with shallow depth of field",
  "seed": 1,
  "aspect_ratio": "21:9",
  "output_format": "png",
  "guidance_scale": 4.5
}

Technical Specs

Related Models

• meituan/longcat-image/edit