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.
ว่าง
$0.5ต่อครั้ง·~20 / $10
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.
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.
| 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 |
| Duration | Cost |
|---|---|
| 1 s | $0.10 |
| 5 s | $0.50 |
| 10 s | $1.00 |
| 20 s | $2.00 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2.3/video-extend with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Ltx 2.3 Video Extend below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2.3/video-extend" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"video": "https://example.com/your-input.mp4",
"duration": 5,
"prompt": "A cinematic shot of a city at sunset, soft golden light"
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/ltx-2.3/video-extend", {
"video": "https://example.com/your-input.mp4",
"duration": 5,
"prompt": "A cinematic shot of a city at sunset, soft golden light"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/ltx-2.3/video-extend",
{
"video": "https://example.com/your-input.mp4",
"duration": 5,
"prompt": "A cinematic shot of a city at sunset, soft golden light"
}
)
print(output["outputs"][0]) # → URL of the generated outputLtx 2.3 Video Extend is a WaveSpeedAI model for video extension, exposed as a REST API 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. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ltx-2.3-video-extend.
Ltx 2.3 Video Extend starts at $0.50 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `video`, `duration`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ltx-2.3-video-extend.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.