2.5 Suite | LTX2.3 Single Digital Human | IC Edit 100% No Subtitle Talking Head

This is a highly stable, subtitle-free talking head video application based on LTX2.3 Single-Person Digital Human + Image-Driven + Audio-Driven + PromptRelay Segmented Talking Head Control + IC Edit Subtitle/Watermark Removal LoRA + NAG Audio-Visual Condition Enhancement + Three-Stage Rendering Polish. Users upload a character first-frame image and a piece of driven audio. The system first extracts the human voice, then encodes the audio into Audio Latent, fuses it with the Video Latent generated from the character image, allowing the character to naturally speak according to the rhythm of the voice while keeping the character's identity, clothing, background, and camera stable.

Compared to regular image + audio digital humans, this version significantly enhances the IC Edit subtitle-free pipeline. It goes beyond just making the character speak by additionally incorporating subtitle removal LoRA, watermark removal LoRA, strong negative prompts, and IC Edit restoration prompts to suppress common issues in talking head videos such as subtitles, garbled text, watermarks, logo overlays, stray text, and unstable artifacts. Combined with VBVR, Crisp, motion tracking control LoRA, three-stage sampling, and dual Latent Upsampler, it is ideal for creating subtitle-free talking heads, AI explanations, virtual anchors, brand introductions, short course videos, character singing/speaking videos, and clean final footage. The core advantages are: One character image + one piece of audio to generate a subtitle-free, watermark-free, and more stable single-person digital human talking head video. When using, it is recommended to focus on controlling four elements: the character's first-frame image determines identity, the driven audio determines the talking rhythm, global prompts (used to write overall visual rules) determine the overall picture, and segmented prompts (writing action changes for each time period) determine the performance actions for each segment.
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