Tim Dockhorn retweeted
FLUX 3 Video is here. Serious, fun, creative, real, cinematic, whatever you need it to be. Native audio, Text to Video, Image to Video with multiple frames, video continuation, dialogue in multiple languages. Comes with Draft mode so you can explore ideas fast at a fraction of the cost. Up to 20 seconds and 1080p native. Available in the API or in your favorite tool. 2K, 4K, and Open Weights coming soon.
188
363
2,822
591,796
Tim Dockhorn retweeted
I have playing with @bfl_ai Black Forest Labs FLUX 3 for a few days now. (Thank you for the early access!) And I played with it... a lot. Some may say, too much. 😅 Here are some of my favorite gens. Needless to say, I love this model. Audio on! More in 🧵
46
37
448
31,998
It never stops being exciting what you can achieve with good data, scaling compute, and careful engineering. Incredible effort by the entire team.
Introducing FLUX 3. One multi-modal model for Image, Video, Audio and Action-Prediction. Creations are truer to life in every kind of style. FLUX 3 Video is now available in early access (link below). Jointly trained in one unified architecture, our model can be extended to predict actions for robotics. See our work with mimic and Audi in the thread.
5
4
59
5,516
Tim Dockhorn retweeted
107
84
692
171,915
Tim Dockhorn retweeted
Yesterday, I had the insane experience of joining the G7 summit in Evian and present our perspective on open innovation in AI to the G7+ world leaders. With openness under pressure around the world, it is vital that we preserve a culture that makes open and responsible development the norm, not the exception My full remarks below. > Thank you, President Macron, for organizing this important conversation, and for bringing together this excellent group of people. I think I represent the youngest company in this room. I am Robin Rombach, co-founder and CEO of Black Forest Labs: a 90-person frontier AI lab, built on both sides of the Atlantic in Germany and the United States. We develop “world models”. These are visual AI models that understand and simulate our complex physical world. Many of you have probably never heard of us. But if you’ve ever generated an AI image or AI video—I’m sure some of you have done so—you’ve probably encountered our research. Not far from here, at universities in Germany, our team pioneered and published many of the techniques that gave rise to visual generative AI. Our team has co-developed 3 of the top 5 most popular open generative AI models of all time, including Stable Diffusion, and the only open models as popular as DeepSeek. We’ve talked a lot about language models today. They are remarkable. But language is a compressed, and ultimately limited, representation of the world. We are building models that learn from thousands of years of video, and can reason in complex visual environments—the rich, messy, complicated world we actually live in. These are still early days, but this technology is going to transform every corner of the economy. For that reason, we believe that visual models, alongside language models, will soon be critical economic infrastructure. That’s why we are passionately committed to open innovation. Sharing our technology openly means that businesses around the world can build their own AI systems, rather than renting them from a handful of companies. Open technology is vital for transparency, competition, and strategic independence in AI. A culture of open innovation made AI possible in the first place, including the transformer paper that gave birth to today’s language models, and we need to preserve that culture. But we are fully aware that open innovation poses unique challenges, especially in image, video, and audio. Open AI models can be misused or modified to produce unlawful and deeply harmful content, and it can be difficult to withdraw these models once they're released. Our commitment is to show that innovation in visual AI can be both open and responsible, not one or the other. This is partly a technical challenge, and we are making good progress. For example, our latest open models demonstrated over 10 times fewer vulnerabilities for sexual deepfakes and child abuse material than the open models released by other Big Tech firms. But there is a role for governments too, from safety tools to evaluation standards to targeted regulation. For example, we have welcomed the leadership of the Trump Administration, as well as the European Union and the UK Government, in developing new legal strategies to combat sexual deepfakes. It’s crucial that we strike the right balance. The future of our societies depends on getting this technology out into the world safely. But a climate of fear around open technology, or a focus on suppression over diffusion, will leave the world reliant on a handful of firms for critical infrastructure. We are ready to work with you all to make open and responsible innovation the norm, not the exception.
13
19
173
20,666
Tim Dockhorn retweeted
Diffusion Circle with forest vibes! 🌲 Since the original Diffusion Circle organizer @sedielem cannot make it to CVPR in person this year, we coordinated with him and are happy to host the Diffusion Circle this time. Stop by if you are interested in flow maps, multimodal diffusion models, variational flow matching, action prediction, and all the other hot denoising stuff. @sumith1896 and @dustin_podell will coordinate. Meeting point: Upper Lobby F / Exhibit Hall F Entrance; see attached pics. Happening Saturday, June 6, 3:30pm!
8
16
106
16,292
Tim Dockhorn retweeted
Martin Scorsese is an advisor to Black Forest Labs. He's spent six decades shaping how the world sees stories. Now he's helping us shape visual intelligence with human taste and craft at the center. We sat down with him for a working storyboarding session using FLUX.
303
286
2,603
2,674,427
Tim Dockhorn retweeted
The official FLUX MCP. Create images inside Claude, Cursor, Hermes, and more. Your agent automatically routes your request to the right FLUX model with expert-level prompting. From Klein for sub-second drafts to Pro for production-quality assets. Play with website visuals, ad creatives, social content, product renders, concept art, and (most importantly) memes. Link in the thread.
21
35
314
25,452
Tim Dockhorn retweeted
New research from @bfl_ml 🥳 Meet Self-Flow: our self-supervised framework for image, audio, video & world models 🤖 bfl.ai/research/self-flow Do generative models really need DINO to learn strong representations? We propose teaching them directly via a joint framework instead 🧵
12
61
280
69,096
Tim Dockhorn retweeted
FLUX.2 [flex] is now 3x to 4x faster ⚡ Working with @bfl_ml, we accelerated one of their top-ranked image model to ~5s per image generation and ~10s per image edit, making it the de facto standard for typography-heavy image generation. The results: - On one H200: ~4x faster - On four H200s: ~3x faster - Image generation in 13s/5s on single/multi-gpu - Image edits from in 28s/10s on single/multi-gpu - Leads the Pareto front for speed vs quality Perfect for designers and teams who need fast iteration on typography-heavy visuals without compromising quality. This is what AI efficiency looks like when done right: efficiency without quality loss! Read our blog: pruna.ai/blog/flux2flex-3-fa… Try the official accelerated endpoint: bfl.ai/models/flux-2
7
13
93
8,040
Tim Dockhorn retweeted
Imagine writing a pure C, dependency free, fast enough Flux 2 Klein 4B inference library. In a weekend. Thanks to AI writing the code, and the human steering it towards the right direction. github.com/antirez/flux2.c
40
108
1,282
149,477
Tim Dockhorn retweeted
Introducing FLUX.2 [klein]. Blazing fast. Beautiful. Generate stunning images in under a second while maintaining exceptional quality. Great for fast editing, changing styles, and developing ideas from 0 → 1. Available via API, or run it locally - Klein 4B under Apache 2.0, Klein 9B as open weights. Try it for free in our demo app (link in the thread).
75
214
1,866
446,727
How different quantization affects FLUX.2 models outputs? Check out on the diffusers + FLUX.2 interactive carousel on the blog
FLUX.2 is out! 🚨 FLUX.2-dev bing state-of-the-art to open weight, with a chonky 32B parameter model, however, it can run on low-end cards with quantization and the new remote text encoder Read more on the 🧨 diffusers welcomes FLUX-2 blog huggingface.co/blog/flux-2
7
18
99
12,570
Tim Dockhorn retweeted
🚨 FLUX.2 from @bfl_ml is here on fal - day 0 release! 🎨 Generate and edit images with incredible quality 🎯 HEX codes and JSON prompts for better control 🎬 Pro and Flex: High-fidelity images and text rendering ⚡ Dev: LoRA training for customization blog.fal.ai/flux-2-is-now-av…
21
33
264
113,064
Tim Dockhorn retweeted
upgrade incoming.
102
46
516
196,708
Tim Dockhorn retweeted
mistral, elevenlabs, black forest labs, lovable, helsing, granola european AI scene is on fire
49
44
734
80,001
Tim Dockhorn retweeted
Today we are releasing FLUX.1 Krea [dev] - a new state-of-the-art open-weights FLUX model, built for photorealism. Developed in collaboration with @krea_ai, this model is focused on images with unique aesthetics. No “AI look”, no blown-out highlights, just natural detail.
77
308
2,018
335,428
Tim Dockhorn retweeted
today, we're releasing an open version of Krea-1. FLUX Krea is a new SOTA open-source image model with incredible realism and aesthetics. try it for free 👇
32
117
809
1,055,948
Tim Dockhorn retweeted
Career update: Happy to share that I've joined Black Forest Labs @bfl_ml 🌲 to work on the next generation of vision foundation models 👀 So honored to work with this superstar team that I've always admired 🤩 Exciting things to come soon! 🚀
49
8
466
39,792
Train your own FLUX models now on TorchTitan - amazing work by @jianiw_wang
We're thrilled to introduce FLUX.1 models on TorchTitan – using PyTorch native training framework to train state-of-the-art diffusion model. 🔗 Dive into the details: lnkd.in/g5P7pdt5 Join us in exploring the future with TorchTitan's powerful framework!
1
1
40
3,597