veomni-develop
SolidVeOmni-specific checklist for feature development and refactoring. Covers impact analysis across modalities, trainer hierarchy, data pipeline, and distributed code. Use before implementing any non-trivial change. For model-specific or ops-specific work, use veomni-new-model or veomni-new-op instead. Trigger: 'add feature', 'implement', 'refactor', 'reorganize', 'new capability'.
Install
Quality Score: 93/100
Skill Content
Details
- Author
- ByteDance-Seed
- Repository
- ByteDance-Seed/VeOmni
- Created
- 1 years ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
dev-refactor
Code refactoring to improve quality. Trigger when the user wants to clean up, restructure, or improve existing code.
vllm-omni
vLLM-Omni output-side multimodal generation — image (FLUX.1/2, Qwen-Image, GLM-Image, BAGEL, SD3.5, HunyuanImage-3.0), video (Wan2.1/2.2, LTX-2, HunyuanVideo-1.5), TTS (Qwen3-TTS, CosyVoice3, Voxtral-TTS), any-to-any omni (Qwen3-Omni, Qwen2.5-Omni, MiMo-Audio) via `vllm serve --omni`. Stage-based disaggregation (OmniConnector + Mooncake + RDMA), `/v1/images/generations`, async+sync `/v1/videos`, `/v1/audio/speech` with voice-upload, PCM16 WebSocket `/v1/realtime`, Ulysses/Ring SP + CFG-parallel, DiT FP8/INT8/GGUF, CUDA/ROCm/NPU/XPU/MUSA matrix, release pitfalls (v0.19.0rc1 FLUX regression, GLM-Image transformers>=5.0, Qwen3-TTS enforce-eager).
refactor
Refactor code to improve structure and maintainability