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luma / uni-1

Generate a single high-quality image from a text prompt — with optional manga styling, web-grounded references, and up to nine guidance images.

0.042
OpenAPI

Model Input

Input

The text prompt describing the image to generate.

The aspect ratio of the generated image.

The visual style of the generated image.

The output image format.

If true, the model may consult the web while generating.

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Model Output

Output

preview
Generated in 44.489 seconds
Logs (1 lines)

Model Example Requests

Examples

ST75ZewuibZp7GrqeckvP9mEzFtk3X4rc4sL3lVgTIZG9Xh3kwb8RCABABY0ufl

Model Details

Model Details

Uni-1 is the standard tier of the Uni-1 family: it generates a single, high-quality image from a text prompt quickly and cost-effectively. It carries the full Uni-1 feature set — manga styling, web-grounded references, and reference-guided generation — and is the right default when you want a polished result without the higher cost of the Max tier. For maximum detail and the strongest prompt adherence on hero stills, reach for `luma/uni-1-max` instead.

## Features - Single high-quality output generated quickly and at low cost - Optional manga styling for line-art and comic aesthetics - Web-grounded generation that can consult the web for references when enabled - Reference-guided generation from up to nine images - Flexible framing via aspect_ratio, with PNG or JPEG output

## What it's good at - Fast, affordable single images for iteration and everyday generation - Faithful rendering of clear, specific prompts - Stylized illustration when manga mode is selected

## Style The `style` field selects the rendering aesthetic: - `auto` (default) — picks the most fitting photorealistic or illustrative style for your prompt. - `manga` — black-and-white manga / comic line-art. Choose this for paneled illustration, inked characters, or graphic-novel looks.

## Web-grounded references Set `enable_web_search` to let the model consult the web for visual references while generating — useful when your prompt names real, recent, or niche subjects it should depict accurately. Leave it off for faster, self-contained generation.

## Reference-guided generation Pass up to nine image URLs in `reference_image_urls` to steer composition, subject, or style toward your own references; the model blends their guidance with your prompt.

## Tips - Write clear, specific prompts to get the most out of each generation. - Use manga only when you want line-art; auto covers most photoreal needs. - Step up to `luma/uni-1-max` when you need the highest fidelity on a single hero image.

## Limitations - Produces one image per request (no batch variations).

To run via the ModelRunner JavaScript client: ```js import { modelrunner } from "@modelrunner/client";

const result = await modelrunner.subscribe("luma/uni-1", { input: { prompt: "a lighthouse on a cliff at golden hour, dramatic sky", aspect_ratio: "16:9", style: "auto", }, }); ```