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Ltx 2.3 Video Extend

Ltx 2.3 Video Extend

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LTX-2.3 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model, with improved audio and visual quality as well as enhanced prompt adherence. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

LTX-2.3 Video Extend

LTX-2.3 Video Extend seamlessly extends existing videos by generating additional frames that naturally continue your content. Upload a video clip and specify how many seconds to add — the model generates smooth, coherent footage that matches the original motion, style, and atmosphere.


Why Choose This?

  • Seamless extension Generates new frames that naturally continue the motion and style of your original video.

  • Flexible duration Extend videos by 1 to 20 seconds based on your needs.

  • Prompt guidance Optional prompts to describe how the video should continue.

  • LTX-2.3 quality Built on the improved LTX-2.3 architecture for better temporal consistency.

  • Simple pricing Straightforward per-second billing at $0.10/second.

  • Prompt Enhancer Built-in tool to automatically improve your continuation descriptions.


Parameters

ParameterRequiredDescription
videoYesSource video to extend (URL or upload)
durationNoExtension length in seconds (1–20, default: 6)
promptNoDescribe how the video should continue

How to Use

  1. Upload your video — provide the source video you want to extend.
  2. Set duration — choose how many seconds to extend (1–20 seconds).
  3. Write your prompt (optional) — describe the motion, action, or scene changes.
  4. Use Prompt Enhancer (optional) — click to refine your description.
  5. Run — submit and download your extended video.

Pricing

DurationCost
1 s$0.10
5 s$0.50
10 s$1.00
20 s$2.00

Billing Rules

  • Rate: $0.10 per second
  • Duration range: 1–20 seconds

Best Use Cases

  • Content Extension — Extend short clips into longer sequences for storytelling.
  • Scene Continuation — Continue scenes beyond their original capture.
  • Social Media — Transform brief moments into full-length videos.
  • Film & Production — Extend establishing shots or B-roll footage.
  • Loop Creation — Generate additional frames for seamless video loops.

Pro Tips

  • Use detailed prompts describing how the motion, camera, and scene should continue.
  • For best results, use source videos with clear motion direction that can be naturally continued.
  • Start with shorter extensions to test results before generating longer clips.
  • The model maintains temporal consistency with the original footage.

Notes

  • Video is required; prompt is optional but recommended for better results.
  • Duration range: 1–20 seconds.
  • Ensure uploaded video URLs are publicly accessible.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2.3/video-extend" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "duration": 5
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
videostringYes-The video for the extension.
durationintegerNo51, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20The duration of the generated media in seconds.
promptstringNo-The positive prompt for the extension.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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