Thomas Neff

@thomasneff93

Leading Systems Engineering & Research @LumaLabsAI, prev: PhD @tugraz, intern @Meta @RealityLabs

Graz, Austria

thomasneff.github.io

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Thomas Neff
@thomasneff93
Mar 23
Incredibly excited and proud for Uni-1 to be generally available to the public! Free users, paid users - everyone, Uni-1 is available right now! This has been a monumental effort across the whole company - we've managed to research, build and ship something with a super tight
Luma
@LumaLabsAI
Mar 23
Uni-1 is here! A new kind of model that thinks and generates pixels simultaneously. Less artificial. More intelligent.
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Thomas Neff
@thomasneff93
May 5
First try at multimodal image + text and already among the big players with our cracked team. We're ramping up extremely fast in terms of compute, modeling, performance optimization, and infra. This is just the start - if you want to join before we reach rank 1 - let's chat 😉
Arena.ai
@arena
May 5
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
Thomas Neff
@thomasneff93
Mar 24
I've been playing around with Uni-1 with Luma Agents and been getting addicted to how easy it is to get really cool results! First two images are generated by Uni-1 directly with the agent! Third and fourth are photos of myself and a photo of my actual custom guitar that was
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Thomas Neff
@thomasneff93
Jan 27
Very fun to work on this! Native 1080p brings lots of systems challenges, excited to showcase our fast, high quality flagship model! 🔥 If you're interested in working on even bigger and better systems across training, inference, or serving, please reach out - we're hiring 🚀
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Thomas Neff
@thomasneff93
Nov 18, 2025
youtube.com/watch?v=LmpXU8… My talk from this year's @PyTorch conference is online! If you're curious about how we use modern PyTorch to power our systems efficiently across distributed training and inference on thousands of GPUs - check it out! We're also hiring ML researchers and