Developer builds novel-to-lip-synced video pipeline on a single 16GB GPU

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A solo developer has created an AI pipeline called iTube that converts full novels into narrated, lip-synced motion videos using only a local RTX 4060Ti GPU with 16GB of VRAM. The system chains five open-source tools — FLUX, Wan2.2, PuLID, MuseTalk, and ComfyUI with edge-tts — each handling a distinct task such as image generation, motion, face consistency, and lip-sync. The project was tested on classic texts including Pride and Prejudice and the Chinese anthology Strange Tales from a Chinese Studio, producing consistent character faces across more than a hundred scenes. A key insight from the build was that audio must be treated as the fixed foundation of the pipeline, with all visual elements timed and trimmed to match the spoken word rather than the reverse. The developer documented the process on DEV Community, emphasizing that the hardest engineering challenges lay in routing around each model's specific limitations rather than in using the models themselves.

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