FluxVLA Engine 🚀

FluxVLA Engine is an integrated engineering platform designed for embodied intelligence applications. It follows the core design principles of unified configuration, standardized interfaces, module decoupling, and deployability, forming a complete engineering loop from data collection to real-world deployment. With a focus on building a "standardized industrial-academic-research foundation," FluxVLA significantly lowers the engineering threshold for VLA (Visual Language Agent) research and development.

Key Features 🔥

⚡ Extreme Inference Speed: CUDA-accelerated operator fusion. With the GR00T-N1.5, the system achieves a high-frequency of 42.8Hz on the RTX 5090.

🛠 All-in-One: A unified configuration file manages critical parameters for data, models, training, evaluation, inference, and deployment, ensuring easy reproducibility and deployment.

🖥 Flexible Configuration: Supports mainstream visual backbones, LLM (Large Language Models), VLM (Vision-Language Models), and VLA (Vision-Language Agents). You can also create and customize your own VLA.

🤖 Real-world Deployment Ready: In addition to mainstream simulators, FluxVLA comes with ready-to-use deployment scripts for Aloha, Tron2, and UR3, eliminating the need for custom integration.

💨 Smooth Motion: Optimized for real-world training/inference with RTC trajectory guidance, ensuring accurate and continuous motion even at 40Hz+ frequencies.

GitHub： https://github.com/limxdynamics/FluxVLA
🤗 https://huggingface.co/limxdynamics/FluxVLAEngine
📖 English documentation： https://fluxvla.limxdynamics.com
📖 详细中文文档： https://fluxvla.limxdynamics.com/zh/