FLUX 3 ActionBlack Forest Labs
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About
FLUX 3 Action is an open-weight 7B world-action model designed for action prediction in robotics and other latency-sensitive visual environments. Derived from the multimodal FLUX 3 backbone, it was pretrained on large-scale image, video, and audio data with a strong emphasis on video, then adapted through joint video-action training and fine-tuning for specific embodiments and action spaces. Given an instruction, camera observations, and robot joint positions, the model predicts motor commands together with their expected visual outcomes, allowing a robot to execute actions, observe the environment again, and continuously replan. Unlike approaches that separate visual prediction from control, FLUX 3 Action jointly models future video and actions, transferring world understanding learned from broad video pretraining into robot control. Its single-step 7B checkpoint reaches a 38.3% success rate on RoboLab-120.
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About
Reactor is building the missing layer for world models and invites users to experience real-time world models through an early preview. Its product direction centers on worlds generated in real time, where pixels, sounds, and actions can be produced on the fly, changing how people interact with software and, eventually, the physical world. The preview is the first step toward that reality, letting users experience AI-generated worlds running on global low-latency infrastructure. Reactor’s work is focused on the next frontier of AI, real-time world models that people, agents, and robots can drive frame by frame. Rather than treating generated video as something passive to watch, Reactor points toward interactive environments that can be inhabited, controlled, and shaped as they generate. Its research and product focus includes real-time interactivity, inference, controllable world models, and systems that make dynamic visual environments responsive enough for live experiences.
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Platforms Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
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Android
Not Supported
Chromebook
Not Supported
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Audience
Robotics researchers, AI developers, and embodied-agent teams seeking to predict and execute actions from multimodal observations with a fast, open-weight world-action model
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Audience
AI creators, game developers, simulation teams, and robotics researchers who want to build or explore real-time interactive worlds generated by AI
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Support
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Training
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Company InformationBlack Forest Labs
Founded: 2024
Germany
bfl.ai/models/flux-3-action
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Company InformationReactor
Founded: 2021
United States
www.reactor.inc/
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