Single Digital Human 3.0 | OmniNFT Relay Distillation 1.1 | Audio Driver

This is a solo digital human talking-head video application based on LTX2.3 Dev-Dare TIES Distilled 1.1 + OmniNFT Enhancement + PromptRelay Segmented Control + Audio-Driven + MelBandRoFormer Vocal Separation + Audio VAE Audio Latent Space Encoding + VBVR Temporal Stability + Crisp Image Quality Enhancement + LTX2_NAG + Third-Order Rendering + IC Edit Subtitle/Watermark Removal Pipeline. After users upload a character first-frame image and a piece of driving audio, the system automatically extracts vocals, reads the audio duration, calculates the video frame count, and makes the character speak naturally according to the audio rhythm while maintaining character identity, clothing, background, and camera stability.

Compared to standard image-to-speech, this version focuses on enhancements in OmniNFT 3.0 stability, automatic audio duration adaptation, PromptRelay segmented performance, third-order high-definition rendering, and IC Edit subtitle-free cleaning. It doesn't just make the character open their mouth; it uses vocal separation and audio latent to drive lip-syncing, then uses character image constraints, VBVR, Crisp, NAG, and third-order sampling to improve final video stability, and finally cleans up unwanted text in the frame via subtitle/watermark removal LoRA. It is suitable for AI talking heads, virtual anchors, course explanations, brand introductions, character singing, character voice-acting, short video e-commerce, IP digital humans, and clean subtitle-free final videos. When using, it is recommended to focus on controlling four elements: the character first-frame image determines the character identity, the driving audio determines the lip-sync rhythm, the global prompt (used to write overall image rules) determines the image stability rules, and the segmented prompts (writing action changes for each time period) determine the expressions and actions of each segment.
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