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InfiniTalk Text-to-Video

Generate talking head videos from a portrait image and text using InfiniTalk with built-in voice synthesis for natural speech animation

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Inputs

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Execution Steps

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Overview

InfiniTalk Text-to-Video turns a portrait image and written speech text into a talking-head video with built-in voice synthesis. Use it for avatar clips, explainers, outreach, and social drafts when you want to write the spoken line directly instead of supplying an audio file.

Use cases

  • Create a talking-head draft from a portrait and script without preparing separate audio.
  • Test a short product message, ad read, or outreach line with one of the built-in voices.
  • Use the prompt to guide style, pose, or visual context around the speaker.
  • Compare resolution, voice, seed, and acceleration settings before a review draft.

Input tips

  • Provide a public image_url that can be fetched without login.
  • Write a prompt that describes the desired talking-head style, context, and motion.
  • Put the spoken words in text_input; keep the script concise enough for the desired video length.
  • Choose one supported voice, such as Aria, Roger, Sarah, or Laura.
  • Choose 41-721 frames; 145 is the default.
  • Choose 480p or 720p resolution; 480p is the default.
  • Use acceleration and seed when speed or repeatable variants matter.

Expected output

The AI Tool returns one generated talking-head video with a downloadable URL, duration in seconds, optional content type, file name, file size, the seed used, and cost metadata. The InfiniTalk output view renders video playback and shows the model label plus seed.

Caveats

  • This AI Tool synthesizes the voice from text; use InfiniTalk Audio-to-Video when you have final audio.
  • It does not clone custom voices or accept an audio file.
  • Voice options are limited to the supported built-in list.
  • Poor portrait quality, cropped faces, or unclear prompt context can reduce talking-head quality.
  • Generated voice and facial motion should be reviewed for realism, consent, brand fit, and policy fit.
  • Frame count and acceleration settings guide generation, but output still needs timing and artifact review.

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