Model Details
Luma Uni-1 Max turns a text prompt into a single high-fidelity image, the top tier of the Uni-1 family. It delivers richer detail and stronger prompt adherence than the standard Uni-1 tier, making it the pick when the output is a hero image rather than a quick draft. Beyond the prompt, you can switch to a manga visual style, let the model consult the web while generating, and pass up to nine reference images to steer composition.
## Best for - Hero-quality stills where detail and faithful prompt adherence matter more than speed - Rendering manga-style panels and illustrations via the dedicated manga style - Generating images that need accurate, up-to-date subject matter by grounding on web search - Steering composition, layout, or look from a set of reference images (up to nine) - Final marketing, editorial, or cover art from a detailed text description
## Choose another model when - You want a faster, lower-cost draft or to explore many variations in a batch — use the standard tier, luma/uni-1 - You need to edit or transform an existing image rather than generate one from a prompt — use an image-to-image or image-editing model - You need motion or video output — use a video model
## Tips - Write a detailed prompt; this tier rewards specificity in subject, lighting, and composition - Set `style` to `manga` for line-art/manga panels; leave it at `auto` for everything else - Turn on `enable_web_search` when the image depends on real, current subject matter the model might not know - Pass `reference_image_urls` (up to nine) when you want the result anchored to an existing look or layout
## Advanced Configuration - `style` selects the visual style: `auto` (default, model picks the rendering) or `manga` (manga/line-art panels). - `enable_web_search` (default `false`): when `true`, the model may consult the web for references while generating — useful for accuracy on real-world or current subjects, at the cost of some latency. - `reference_image_urls`: an optional list of image URLs (maximum nine) that guide composition and look. Supply public, downloadable URLs.
To run via the ModelRunner JavaScript client: ```js import { modelrunner } from "@modelrunner/client";
const result = await modelrunner.subscribe("luma/uni-1-max", { input: { prompt: "A stoic samurai overlooking a neon cyberpunk city at dusk", aspect_ratio: "16:9", style: "manga", enable_web_search: false, output_format: "png", }, }); ```