Video Generation - LTX-2.5 Audio-to-Video

Video Generation - LTX-2.5 Audio-to-Video

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Make a Talking Video from One Picture and a Voice

LTX-2.5 Audio-to-Video animates a single image so the person speaks along to the voice you give it — lips, face, and gestures follow the audio, and your audio stays exactly as it was. Made for presenter clips: a photo on a green background plus a voiceover or TTS line becomes a 24 fps talking video, for voices up to 30 seconds. Runs on CNAPS infrastructure; no external API key required.

What it does

LTX-2.5 Audio-to-Video (A2Vid) from Lightricks turns one image and a voice into a talking video. The voice drives the motion: mouth shapes, head movement, and hand gestures follow it, and the original audio is muxed into the result untouched.

By default it picks a vertical (768×1344), landscape (1344×68), or square (1024×1024) canvas to match your image, or you can choose one. It renders at 24 fps, for voices from 0.5 to 30 seconds. Generation takes a few minutes. Put the subject on a flat green background to composite them later with Chroma Compose.

To generate a new scene with its own sound from a prompt, use LTX-2.5. To re-sync the lips of an existing talking video, use LatentSync 1.6.

Problem it solves

  • Presenter clips for ads — One photo and a TTS voiceover become a spokesperson video
  • Talking heads for explainers — Lip-synced product explainers without a shoot
  • Other languages from the same photo — Swap the voice track to localize the same presenter
  • Green-screen presenters — Lay the presenter over screen recordings or product shots
  • Audio stays exact — Your voiceover is muxed in as-is, so timing and quality never change

Input/Output

Input

  • Image (required) — the first frame: the person who will speak. A flat green background composites best
  • Sound (required) — the voice to speak, 0.5–30 s; kept as-is in the result
  • Text (optional) — a description of the motion and scene

Parameters (main view)

Option
Values · what it does
Output size
auto (default) / 768×1344 (vertical) / 1344×768 (landscape) / 1024×1024 (square). Auto picks the canvas closest to the image's aspect ratio. With fit set to crop, a mismatched canvas cuts the subject; use pad to avoid that

Advanced Options

Option
Range / default · what it does
Stage-1 denoising steps
10–60, default 30 (the checkpoint default). Stage 2 always uses the distilled schedule. Cost is roughly linear — about 5 s per step
Random seed
Default -1 (random each run). Set a fixed value to reproduce a result
Warm-up before the first word
0–2 s, default 0.8. The model keeps roughly the first 0.5–0.8 s close to the still image, so a voice that starts immediately gets almost no lip motion on its first word. The warm-up lets the face start moving before the voice, then is trimmed away — output timing and length are unchanged. 0 disables it. Voices near the 30 s cap get a shorter warm-up
Fit (crop / pad)
crop (default): the image is centre-cropped to the canvas, so a picture with a different aspect loses its edges. pad: the image is grown to the canvas aspect with its border colour — extra height on top only, extra width split between the sides — so nothing is cut. Meant for stills on a flat backdrop such as chroma green; on a busy photo the padding shows as a plain band

Output

  • Video — the talking video at 24 fps with the voice muxed in

How to Use

  1. Connect an Image Loader with a front-facing photo of the presenter — ideally on a flat green background.
  2. Connect the voice: a Sound Loader, or a TTS node such as Text to Speech (Qwen3 Voice Design). Keep it under 30 seconds.
  3. (Optional) Connect a Text Input describing the motion and scene (e.g., "friendly presenter, natural hand gestures").
  4. Leave Output size on auto, connect Video Viewer, and run. Expect a few minutes per clip.
  5. Composite the green-screen presenter with Chroma Compose, then add captions and finish the mix.

Example Workflow

Flow: Image Loader + Sound Loader (+ optional Text Input) → LTX-2.5 Audio-to-Video → Video Viewer.

Generated voice: Text Input → Text to Speech (Qwen3 Voice Design) → LTX-2.5 Audio-to-Video sound port.

See the full pipeline in the Talking Presenter Ad recipe.

Use Case Tips

  • Portrait-cut presenters — If the photo is cut off at the bottom edge, use pad: extra height is added on top only, so the presenter stays anchored to the bottom.
  • Lips on the first word — Keep the warm-up at 0.8 s; raise it toward 2 s if the first word still looks stiff.
  • Speed vs. quality — Lower the stage-1 steps for drafts (~5 s saved per step), then return to 30 for the final.
  • Longer scripts — Split narration over 30 s into segments, generate each, and join them with Video Concat.

How it compares

What you need
Use
A person in one photo speaking a voice you provide
LTX-2.5 Audio-to-Video
A new shot with generated sound, from text or a first frame
LTX-2.5
An existing talking video re-synced to a new voice
LatentSync 1.6
Video with native stereo audio from reference images and clips
MiniMax-H3 Ref2VA
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Technical Details (for engineers)

Model Source

Compliance & Provenance

Item
Detail
Provider
Lightricks (open weights) · Specialized
License
LTX-2.x Community License
EU AI Act risk class
Limited Risk
Art. 50 transparency
Required — AI-generated outputs are marked. A talking video of a real person's likeness may also need disclosure as manipulated content

For platform classification, acceptable use, and output marking, see the CNAPS AI Policy.

Run it now

Try it in the Talking Presenter Ad recipe, or open CNAPS Studio, find LTX-2.5 Audio-to-Video in the Component panel, and start with the example workflow above.