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scenario-luma-image

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Use when generating or editing images with Luma Uni-1 models on Scenario via MCP: text-to-image, prompt-based editing of an existing image, style or character reference images with named roles, web search grounding for real-world subjects, rendering exact title text into posters, aspect ratio control, or choosing between Uni-1 Max and Uni-1. Keywords: Luma Labs, Uni-1, Photon, txt2img, img2img, image edit, reference images, webSearch, reasoning image model.

skills/scenario-luma-image/SKILL.md

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Repository last updated
Nov 9, 2026
License
MIT

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# Scenario Luma Image

## Overview

Uni-1, Luma Labs' image family on Scenario, folds generation and editing into one contract: every
member is both `txt2img` and `img2img`, and passing a `source` image is what flips the run into edit
mode, so where each image lands (source versus reference) decides more than prompt wording. These
are reasoning models that plan lighting and composition before rendering, so a run takes a minute or
two, not seconds. Discover members with `search` and treat `model_schema_get` as the contract: the
tiers share every field name and disagree on caps and price. Luma's video models are the
`scenario-luma-video` skill's domain.

Connection and the core loop: see the `scenario` skill in this repo; model-agnostic image work
(sizing families, masks, batch fields): the `scenario-image` skill. If a sibling skill named here is
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