A reasoning model that interprets intent before it generates
A reasoning model that interprets intent before it generates. Less than half the price and latency of comparable models. Two endpoints. Python, JS/TS, Go SDKs & CLI. Production grade from day one.
Interior studios, fashion configurators, and storyboard generators are already being built on Uni-1.1. Until now, the API wasn’t publicly accessible.
What it is: Uni-1.1 is Luma AI’s multimodal image generation model, now available via API with reference-guided generation, multi-reference composition, and built-in prompt enhancement.
Most image APIs expose a raw generation endpoint and leave consistency to prompt engineering. Uni-1.1 moves part of that reasoning into the model layer itself. Scene completion, spatial plausibility, and reference grounding happen before output, reducing complexity for production teams.
What makes it different: The model handles manga, webtoon, and non-Western visual styles unusually well. Luma trained it with Hollywood cinematographers and VFX artists, but the advantage is breadth of visual culture, not just cinematic polish.
Key features:
Reference-guided generation with single or multi-reference inputs
Built-in prompt enhancement at the API level
Culture-aware outputs across styles and aesthetics
Text-to-image and image-to-image at 2048px
Token-based pricing (~$0.09 per 2048px image)
Top 3 in Image Arena for text-to-image and image editing
Benefits:
Less prompt engineering for consistent branded output
Better character and style consistency across pipelines
Competitive pricing and latency based on published benchmarks
Who it’s for: Developers and teams building brand-specific image workflows where controllable, visually consistent output matters more than generic generation.
The important shift isn’t just the model quality, it’s Luma positioning the intelligence layer itself as infrastructure for creative products.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified →@rohanrecommends
About Luma Uni 1.1 API on Product Hunt
“A reasoning model that interprets intent before it generates”
Luma Uni 1.1 API launched on Product Hunt on May 7th, 2026 and earned 97 upvotes and 2 comments, placing #13 on the daily leaderboard. A reasoning model that interprets intent before it generates. Less than half the price and latency of comparable models. Two endpoints. Python, JS/TS, Go SDKs & CLI. Production grade from day one.
On the analytics side, Luma Uni 1.1 API competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Luma Uni 1.1 API performed against the three products that launched closest to it on the same day.
Who hunted Luma Uni 1.1 API ?
Luma Uni 1.1 API was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Rohan Chaubey
Interior studios, fashion configurators, and storyboard generators are already being built on Uni-1.1. Until now, the API wasn’t publicly accessible.
What it is: Uni-1.1 is Luma AI’s multimodal image generation model, now available via API with reference-guided generation, multi-reference composition, and built-in prompt enhancement.
Most image APIs expose a raw generation endpoint and leave consistency to prompt engineering. Uni-1.1 moves part of that reasoning into the model layer itself. Scene completion, spatial plausibility, and reference grounding happen before output, reducing complexity for production teams.
What makes it different: The model handles manga, webtoon, and non-Western visual styles unusually well. Luma trained it with Hollywood cinematographers and VFX artists, but the advantage is breadth of visual culture, not just cinematic polish.
Key features:
Reference-guided generation with single or multi-reference inputs
Built-in prompt enhancement at the API level
Culture-aware outputs across styles and aesthetics
Text-to-image and image-to-image at 2048px
Token-based pricing (~$0.09 per 2048px image)
Top 3 in Image Arena for text-to-image and image editing
Benefits:
Less prompt engineering for consistent branded output
Better character and style consistency across pipelines
Competitive pricing and latency based on published benchmarks
Who it’s for: Developers and teams building brand-specific image workflows where controllable, visually consistent output matters more than generic generation.
The important shift isn’t just the model quality, it’s Luma positioning the intelligence layer itself as infrastructure for creative products.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends