Image generation and editing
Generates and edits images from text prompts, including text-to-image and image modification workflows shown on the pricing page.
UNI-1
Uni-1 is Luma’s multimodal reasoning model for generating and editing images. It supports text-to-image, reference-guided, and API-based workflows for creators and developers building visual content.
Overview
UNI-1 is Luma’s multimodal reasoning model for generating pixels. The product page positions it as a system built on “Unified Intelligence” that understands intention, responds to direction, and combines reasoning with visual generation.
The technical report describes UNI-1 as Luma’s first unified understanding-and-generation model, designed to join reasoning and imagination in a single architecture. It handles text and images in one interleaved sequence and is presented as a model that can plan, iterate, and execute across visual tasks.
Luma’s site frames UNI-1 around practical image workflows such as text-to-image generation, image editing, reference-guided creation, and culture-aware styling. The pricing page lists UNI-1 under image generation pricing, and the API page points to UNI-1 as part of multi-model creative workflows alongside video models.
Core capabilities
Reference-guided creation
Uses reference inputs to preserve identity, composition, and other visual constraints across outputs, as shown in the showcase and tech specs.
Multi-image conditioning
Supports multi-reference generation for cases where several source images shape the result, including one-image and multi-image workflows.
Reasoning-informed outputs
Applies structured reasoning to scene completion, spatial relationships, and plausibility-driven transformation before rendering an image.
Style and culture variation
Adapts to different aesthetics and visual languages, including culture-aware generation, manga, memes, and other style variants highlighted in the showcase.
API-ready workflow
Exposes UNI-1 as part of Luma’s API offering, with a separate API access flow and pricing for image generation.
Common workflows
Text-to-image generation
Create images from written prompts when you need a model that can reason about scene structure, plausibility, and composition rather than only matching keywords.
Reference-guided editing
Modify an existing image while preserving important visual references, such as identity, layout, or other source-grounded details.
Multi-reference concepting
Generate variants from several source images when a single reference is not enough to define the desired result.
Style exploration
Explore different visual styles or cultural aesthetics while keeping the subject and composition recognizable.
Developer workflows
Build Luma-backed creative pipelines through the API, including workflows that combine UNI-1 for images and Ray3.2 for video.
Pros and Cons
Pros
- Combines reasoning and image generation in a single model.
- Supports reference-guided and multi-reference visual workflows.
- Covers both generation and editing use cases.
- Offers style variation across multiple visual languages and aesthetics.
- Is available through Luma’s product surface and API access flow.
Cons
- The site provides limited public detail on supported integrations and operational constraints beyond the product and API pages.
- Pricing is shown in token- and credit-based terms, which may require a closer read of Luma’s billing model to estimate per-project cost.
- The public pages do not fully enumerate all technical limits, output formats, or guardrails for every workflow.
FAQ
What is UNI-1?
UNI-1 is Luma’s multimodal reasoning model for generating and editing images. The site highlights it for text-to-image generation, image modification, and reference-guided workflows.
What can I use UNI-1 for?
The product page points to image generation, image editing, and multi-reference generation. The showcase and technical pages emphasize reference-guided creation, cultural and style variation, and structured visual reasoning.
How does UNI-1 differ from a standard image model?
Luma describes UNI-1 as a unified model that combines reasoning and visual imagination. Its technical report says it can plan and reason over instructions before and during image synthesis, and the home page says it is built on Unified Intelligence.
Is UNI-1 available through an API?
The site indicates UNI-1 is available through Luma’s product site and API access flow, with a waitlist for early API access. Pricing is listed separately on the pricing page for image generation.
How does UNI-1 fit into Luma’s broader platform?
The product pages frame UNI-1 as one part of a broader Luma workflow, with the API page calling out multi-model workflows that pair UNI-1 for image generation with Ray3.2 for video generation.
Quick Facts
- Category
- AI image generation
- Platform
- Luma web product and API
- Primary users
- Creators, teams, and developers building image workflows
- Source domain
- lumalabs.ai
- Related workflow
- Pairs with Ray3.2 for multi-model creative workflows
- Pricing model
- Listed on Luma’s pricing page with credit/token-based image pricing
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