TTS-Driven Video-Diffusion Talking Character

A text script is converted to speech by a local TTS engine, an image-to-video model animates a character from a still reference into a base video clip, and a lip-sync model then re-syncs that generated video's mouth movements to the TTS audio, producing a fully text-driven talking character without any recorded voice or footage.

Properties

family: audio-driven
modality: text script -> synthesized speech -> generated base video -> lip-synced final video
whyMultiModel: No single model both generates a moving video from a still image AND produces accurate phoneme-level lip motion; the pipeline needs a TTS model for speech, an image-to-video diffusion model to create believable body/head motion, and a dedicated audio-conditioned lip-sync model as a final pass because the video model's own lip movements are not driven by the actual phonemes.
steps: [object Object], [object Object], [object Object]
controls: voice selection/language in TTS, video model choice for quality vs speed tradeoff, lip-sync model choice (Sonic quality vs LatentSync speed), lips_expression intensity
exampleStack: Kokoro TTS (text -> speech) -> LTX-Video (image -> base video) -> Sonic or LatentSync (audio -> lip-synced final video)
useCases: [Fully synthetic talking-character shorts with no source footage or recorded voice][Localizing generated character videos into multiple languages/voices][Rapid iteration on scripted avatar content]
pitfalls: Compounding errors across three models: TTS prosody, base-video head motion, and lip-sync fidelity errors stack, and swapping the middle video-generation stage changes how well the final lip-sync pass locks on.
source: Geeky Kokoro TTS and Sonic Lipsync maker workflow (Civitai)

Provenance

Source: https://civitai.com/models/1325787/geeky-kokoro-tts-and-sonic-lipsync-maker

TTS-Driven Video-Diffusion Talking Character

Properties

family

audio-driven

modality

text script -> synthesized speech -> generated base video -> lip-synced final video

whyMultiModel

No single model both generates a moving video from a still image AND produces accurate phoneme-level lip motion; the pipeline needs a TTS model for speech, an image-to-video diffusion model to create believable body/head motion, and a dedicated audio-conditioned lip-sync model as a final pass because the video model's own lip movements are not driven by the actual phonemes.

steps

[object Object], [object Object], [object Object]

controls

voice selection/language in TTS, video model choice for quality vs speed tradeoff, lip-sync model choice (Sonic quality vs LatentSync speed), lips_expression intensity

exampleStack

Kokoro TTS (text -> speech) -> LTX-Video (image -> base video) -> Sonic or LatentSync (audio -> lip-synced final video)

useCases

[Fully synthetic talking-character shorts with no source footage or recorded voice][Localizing generated character videos into multiple languages/voices][Rapid iteration on scripted avatar content]

pitfalls

Compounding errors across three models: TTS prosody, base-video head motion, and lip-sync fidelity errors stack, and swapping the middle video-generation stage changes how well the final lip-sync pass locks on.

source

Geeky Kokoro TTS and Sonic Lipsync maker workflow (Civitai)