FluxVLA
A one-stop VLA engineering platform for embodied intelligence
TL;DR
FluxVLA Engine is a full-stack, end-to-end engineering platform for embodied intelligence. It provides a unified workflow spanning data preparation, model training, simulation evaluation, and real-robot deployment.
My Role
Open-source contributor focused on model and simulation capabilities. I integrated FastWAM’s uncond, joint, and IDM modeling paradigms together with Wan2.2, MoT, and ActionDiT components. I also connected data preprocessing, distributed training, and LIBERO evaluation, and integrated LIBERO-Plus into the platform.
Highlights
- Model integration. Adds FastWAM’s uncond, joint, and IDM paradigms together with Wan2.2, MoT, and ActionDiT components.
- End-to-end training and evaluation. Connects data preprocessing, distributed training, and LIBERO evaluation in a unified workflow.
- LIBERO-Plus support. Enables zero-shot evaluation of standard LIBERO checkpoints, multi-task rollouts, and aggregated result reporting.
Visit the FluxVLA website for documentation and setup guides, or browse the source code on GitHub.