- Add complete directory structure for multimodal and non-autoregressive processing - Include AsyncLLM, OmniEngine, and DiffusionEngine modules - Add processors, schedulers, executors, and output processors - Add API interfaces for Higress, Gradio, and ComfyUI - Add configuration management and CLI interface - Add comprehensive test structure and documentation - Add pyproject.toml with dependencies and project configuration - Add examples and documentation structure
230 B
230 B
vLLM-omni: Multi-modal Extension for vLLM
vLLM-omni is designed to extend vLLM capabilities to support multi-modality model inference and serving, particularly focusing on non-autoregressive structures and non-textual outputs.