Qwen2.5-Omni, an omnimodal model from Alibaba, enables a workflow called audio-visual vibe coding where developers record a screen walkthrough of a UI, optionally narrate desired behavior, and send the video to the model to receive functional HTML, CSS, and JavaScript output. The tutorial covers the full pipeline: recording best practices, setting up the DashScope API or local HuggingFace deployment (requiring 80GB VRAM), encoding and sending video, extracting generated code, and iterating with follow-up video clips in a multi-turn conversation. The model's Thinker-Talker architecture with Hybrid-Attention MoE processes audio and video jointly, enabling it to infer UI component layout, interaction logic, and event handlers from demonstrated behavior. Limitations include prototype-grade output quality, hallucinated UI elements, 30–90 second API latency, and high VRAM requirements for local deployment.
Table of contents
How to Write Code from Video Using Audio-Visual Vibe CodingTable of ContentsWhat Is Audio-Visual Vibe Coding?Qwen2.5-Omni Architecture at a GlanceSetting Up Your EnvironmentRecording Your Input VideoAudio-Visual Vibe Coding: The Core WorkflowFull Working Example: Screen Recording to Functional To-Do AppTips for Better ResultsLimitations and Honest AssessmentIs Audio-Visual Vibe Coding the Future?Sort: