VeRL-Omni: A Universal RL Post‑Training Framework for Diffusion and Multimodal Generation Models

VeRL-Omni introduces a universal reinforcement‑learning post‑training framework that extends the verl and vLLM‑Omni stacks to support diffusion transformers, hybrid AR‑DiT, and unified understanding‑generation models, offering high‑throughput multimodal rollout, flexible reward engines, modular trainers, and broad hardware compatibility.

FlowGRPORLVeRL-Omni

0 likes · 9 min read

VeRL-Omni: A Universal RL Post‑Training Framework for Diffusion and Multimodal Generation Models

Machine Heart

May 25, 2026 · Artificial Intelligence

VeRL-Omni: Universal RL Post‑Training for Diffusion and Multimodal Models

VeRL-Omni is an open‑source RL post‑training framework built on verl and vLLM‑Omni that enables efficient, high‑throughput rollout and flexible reward computation for diffusion, AR‑DiT, and unified multimodal generation models, supporting diverse hardware, modular trainers, and demonstrating up to 14% latency reduction and high training throughput in benchmark experiments.

FlowGRPORLVeRL-Omni

0 likes · 9 min read

VeRL-Omni: Universal RL Post‑Training for Diffusion and Multimodal Models