Audio Digital Human 2.0 | Third-level rendering polished version, more natural speech

This is a highly stable digital human video application based on LTX 2.3 Audio-Driven + Vocal Separation + PromptRelay Segmented Prompts + Three-Stage Rendering Refinement + Dual Latent Upscaling. Users upload a character's first-frame image and a driving audio clip. The system first extracts vocals from the audio, encodes the vocals into Audio Latent, and fuses them with the video latent, allowing the character to naturally speak in sync with the audio rhythm. Compared to ordinary image-to-video or simple lip-syncing pipelines, this workflow doesn't just match the lips; it integrates the audio signal directly into the generation process, making the character's lip movements, expressions, slight head motions, and overall visual rhythm much more unified.

At the same time, it adopts a final-render pipeline featuring Three-Stage Sampling + Three-Stage Image Constraints + Dual Latent Upsampler + Tiled Decoding: the first stage establishes basic dynamics, the second stage enhances character details, and the third stage performs final stabilization and visual polishing. It is particularly suitable for: AI talking digital humans, virtual human short videos, IP character speech, dramatic dialogue, course narration, brand virtual anchors, and Xiaohongshu / Douyin talking-head content. The core advantage is: One image + one audio clip can generate a more natural, stable, and textured digital human speaking video. When using it, it is recommended to focus on controlling three key elements: The character's first-frame image determines the identity, the driving audio determines the speaking rhythm, and the PromptRelay prompt determines the performance state and camera atmosphere.
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