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 missing from your available skills, ask the user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed from tool schemas and flag the gap.

Quick reference

Mode follows from the inputs (names from the live schema):

imageRef is an array of guiding images and combines with source. Caps are per member: at authoring time the Max hit took 9 references and the standard 8, with the source occupying one of those slots when editing; both took a 6000 character prompt, nine aspectRatio values from 1:3 to 3:1, and outputFormat png (default) or jpeg. Each reference adds cost, so re-estimate with dry_run after changing the count. webSearch (default false) has the model fetch real-world visuals before generating: enable it when the prompt names a real place, product, or style the model may not know. No seed, mask, pixel-size, or batch-count field exists: sizing is the ratio alone, masked edits belong to other models, and identical re-runs cannot be pinned, so change one thing per iteration. At authoring time the Max tier cost roughly two and a half times the standard for one 2K image despite near-identical public arena ratings, so dry_run the same job on both before a batch.