FLUX 3 ActionBlack Forest Labs
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HunyuanWorldTencent
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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
HunyuanWorld-1.0 is an open source AI framework and generative model developed by Tencent Hunyuan that creates immersive, explorable, and interactive 3D worlds from text prompts or image inputs by combining the strengths of 2D and 3D generation techniques into a unified pipeline. At its core, the project features a semantically layered 3D mesh representation that uses 360° panoramic world proxies to decompose and reconstruct scenes with geometric consistency and semantic awareness, enabling the creation of diverse, coherent environments that can be navigated and interacted with. Unlike traditional 3D generation methods that struggle with either limited diversity or inefficient data representations, HunyuanWorld-1.0 integrates panoramic proxy generation, hierarchical 3D reconstruction, and semantic layering to balance high visual quality and structural integrity while enabling exportable meshes compatible with common graphics workflows.
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Platforms Supported
Windows
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Mac
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Linux
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Cloud
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iPhone
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Android
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Chromebook
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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
Not Supported
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
Game developers and simulation creators who want to generate immersive 3D environments from text or image inputs using open source generative models
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Support
Phone Support
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24/7 Live Support
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Online
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Support
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API
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Pricing
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Free Version
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Pricing
Free
Free Version
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Training
Documentation
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Live Online
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In Person
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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 InformationTencent
Founded: 1998
China
github.com/Tencent-Hunyuan/HunyuanWorld-1.0
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Integrations
Git
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PyTorch
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