Multimodal RL training framework for diffusion & omni models
Train models that can generate content from multiple types of data using a specialized framework.
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verl-omni has 908 stars on GitHub. It has been forked 164 times. verl-omni is written mainly in Python. It has been in active development since 2026. verl-omni is available under the Apache-2.0 license. Its main topics are diffusion-models, flow-matching, grpo, multimodal.
Multimodal RL training framework for diffusion & omni models
verl-omni is an open-source project. It is released under the Apache-2.0 license.
Yes. verl-omni is free and open source — you can use, modify and self-host it.
verl-omni is available under the Apache-2.0 license.
verl-omni is written mainly in Python.
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