*When copy+pasting the workflow Audio VAEs disconnect and Math Expression #74 has to be reconnected from it's port b to Frame Rate
*Check out my other workflows for swap and upscale techniques
LTX 2.3 Super speaks — but now it speaks in your voice.
Your Custom Voice
LTX audio merged in
Lip sync stability
This workflow combines voice cloning with LTX 2.3's native audio generation. One prompt produces two synchronized audio tracks — cloned dialogue and AI-generated background sound — merged and conditioned into the video latent.
Your voice. Your script. LTX's world. One prompt.
LTX 2.3 — AI Video Workflow (part 4 of Lab series)
Four inputs. One cinematic video.
Drop in an image, a voice sample, your scene description, and your character's dialog — the workflow takes it from there.
✍️ Script-Driven Dialog Write exactly what you want your character to say in the Dialog Script node. Your words, your story — the workflow handles all the technical execution automatically.
🎬 Scene Description Describe the scene, the mood, the environment. The AI reads this alongside your dialog and builds everything else — no prompt engineering knowledge needed.
🤖 Fully Automatic Prompting Two local AI enhancers run silently in the background. One writes a complete structured video generation prompt from your scene and dialog. The other crafts precise voice delivery direction — pace, tone, emotion, texture — fed directly into the voice engine. You never write a prompt manually.
🎙️ VoX Voice Cloning Provide any short voice sample and VoxCPM2 clones it. Your character speaks your script in that voice, with the AI-generated delivery direction shaping how it's performed — not just what is said, but how.
🔁 Dual Voice Reinforcement The video and audio pipelines are locked together. The video prompt instructs the model on lipsync behavior while the audio direction drives matching emotional delivery through VoX — a unified performance from both sides simultaneously.
⚙️ GGUF & Safetensors Compatible Run whichever model format your hardware prefers — GGUF quantized or full safetensors, both supported out of the box.