Ltx 2.3 Video Extend
Playground
Try it on WavespeedAI!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?
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Seamless extension Generates new frames that naturally continue the motion and style of your original video.
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Flexible duration Extend videos by 1 to 20 seconds based on your needs.
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Prompt guidance Optional prompts to describe how the video should continue.
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LTX-2.3 quality Built on the improved LTX-2.3 architecture for better temporal consistency.
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Simple pricing Straightforward per-second billing at $0.10/second.
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Prompt Enhancer Built-in tool to automatically improve your continuation descriptions.
Parameters
| Parameter | Required | Description |
|---|---|---|
| video | Yes | Source video to extend (URL or upload) |
| duration | No | Extension length in seconds (1–20, default: 6) |
| prompt | No | Describe how the video should continue |
How to Use
- Upload your video — provide the source video you want to extend.
- Set duration — choose how many seconds to extend (1–20 seconds).
- Write your prompt (optional) — describe the motion, action, or scene changes.
- Use Prompt Enhancer (optional) — click to refine your description.
- Run — submit and download your extended video.
Pricing
| Duration | Cost |
|---|---|
| 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.
Related Models
- LTX-2.3 Text-to-Video — Generate video from text with synchronized audio.
- LTX-2.3 Image-to-Video — Animate images with synchronized audio.
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
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| video | string | Yes | - | The video for the extension. | |
| duration | integer | No | 5 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 | The duration of the generated media in seconds. |
| prompt | string | No | - | The positive prompt for the extension. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |