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MultiTalk Text-to-Video

Generate talking avatar videos from a portrait image and text using MultiTalk with built-in voice synthesis for natural lip-synced speech animation

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Inputs

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Execution Steps

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Overview

MultiTalk Text-to-Video turns a portrait image and written speech text into a talking-avatar video with built-in voice synthesis. Use it for one-speaker avatar clips, explainer lines, ad reads, outreach snippets, and social drafts when you want to type the spoken script directly.

Use cases

  • Create a talking-avatar draft from a portrait and a short written script.
  • Test an ad read, explainer line, founder message, or outreach snippet with a built-in voice.
  • Use the prompt to guide expression, framing, or scene context around the speaker.
  • Compare voice, frame count, resolution, acceleration, and seed settings for review variants.

Input tips

  • Provide a public image_url that can be fetched without login.
  • Write a prompt describing the desired talking-avatar style, context, and motion.
  • Put the spoken words in text_input; keep the script concise enough for the intended clip length.
  • Choose one supported voice, such as Aria, Roger, Sarah, or Laura.
  • Choose 41-241 frames; 136 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-avatar video with a downloadable URL, duration in seconds, optional content type, file name, file size, the seed used, and cost metadata. The MultiTalk output view renders video playback and shows the model label plus seed.

Caveats

  • This AI Tool synthesizes the voice from text; use MultiTalk 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-avatar quality.
  • Generated voice and facial motion should be reviewed for realism, consent, brand fit, and policy fit.
  • Frame count, resolution, and acceleration settings guide generation, but output still needs timing review.

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