Fable 5 one shot: Urban Growth Visualization
I put in this prompt before I went to bed:
"Create a scrubbable world map from 3000 BC to today"
and Fable found the source data from FigShare and Wiki, scale/balance it accordingly, and visualized it.
https://t.co/b4tsvlQg44
Luma is now #3 on Image Arena!
GPT-Image2 level intelligence, with Midjourney level of aesthetic taste, at a fraction of the price of Nano Banana!
Try it out -> https://t.co/GvZ2KLq4Zx
Exciting news: UNI-1.1-Max and UNI-1.1 debuts making @LumaLabsAI the #3 lab in the Image Arena across both Text-to-Image and Image Edit! These are versions released without agentic search.
Text-to-Image Arena
- UNI-1.1-Max #6 overall (1193), +12 points over MAI-Image-2
- UNI-1.1 #7 overall (1190), +13 points over Reve-v1.5
Multi-Image Edit Arena
- UNI-1.1-Max #7 overall (1315), +21 points over Seedream 4.5
- UNI-1.1 #8 overall, (1298)
Single-Image Edit Arena
- UNI-1.1-Max #7 overall (1337)
- UNI-1.1 #11 overall, (1310) on par with Grok-Imagine-Image (20260207)
Congratulations to @LumaLabsAI on this solid performance!
With Claude Code repo leaked today and Codex being open source, I mapped both repo into interactive knowledge graphs so you can explore their architectures side by side:
https://t.co/FwNG1Ud4CU
Any interesting diff you could spot?
This is being quickly built using ClawGraph - an interactive codebase graph visualizer, @charleswangsy and I vibe coded it during the Anthropic Claude Code Hackathon in Feb
Try the visualization with any repo link!
@venturetwins@LumaLabsAI@omooretweets Wow this is such a well-crafted story and character design! Thanks for trying and featuring Uni-1 :) looking forward for more
Most image models are good at one thing.
Uni-1 has been good at everything we've thrown at it.
Our team generated thousands of images leading up to Uni-1 launch. We embedded them all into a single map where visual similarity determines proximity. The result speaks for itself.
@Haofan_Wang Thanks for the feedback!
Definitely rooms to improve but I also feel it's kind of a dilemma here: we train our model towards less AI-look and sometimes that leads to lower saturation. But some may prefer one or the other?
In a world moving this fast, it’s not about catching up — it’s about leapfrogging.
Super excited to be building Uni-1 with the amazing team, as our first unified image model showing on par eval results with Nano Banana Pro, and exceeding in certain axes!
Time to try something new - like this little tree frog generated with Uni-1
the most underrated hire right now is a great product person.
when i say product person i'm def not talking about a product manager. perhaps i think there has to be somewhat of a new role. i don't have a good name for it yet but maybe something like "product thinker".. someone with an intuitive grasp of the product as it exists, where it's soft, where it sings, & how to iterate it toward something even sharper. in some sense, this person has to cohesively hold in their head where this product should be 2 years from now & work backwards from that.
i say this cuz when building was hard, engineering was the bottleneck & the status hierarchy often reflected that. building is no longer hard. which means the variance in outcomes has shifted almost entirely to judgment on what to build, how to sequence it, & how to talk about it.
& the story matters as much as the thing. internally, it organizes the team around a shared model of why. externally, it shapes the interpretive frame users bring to their first experience. you can't retrofit narrative onto a product & expect it to land, it has to be load bearing from the start.
the rarest version of this person sits at the intersection of culture & deep technology. someone genuinely bilingual. they know what's technically possible & they know which cultural currents are real vs. ephemeral. that combo is what separates products that feel inevitable from products that feel assembled.
before ppl clap back with this person has always been valuable, i know.. i am just saying now they might be the most *important* person in the room. their value compounds like never before.
Introducing Uni-1, Luma’s first unified understanding and generation model, our next step on the path towards unified general intelligence.
https://t.co/QjdrnYoWe5
To scale research and deployment of multimodal AGI, today we are pleased to announce that Luma has raised a 900M Series-C and we are partnering with Humain to build a colossal 2GW compute supercluster – Project Halo.