Giảm 50% mô hình Vidu Q3 & Q3 Pro · Chỉ trên WaveSpeedAI | 20/5 – 2/6

LTX 2 19B Video Upscaler

wavespeed-ai /

LTX-2 19B Video Upscaler converts low-resolution videos into crisp 4K footage with seamless motion dynamics and frame consistency. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

upscaler
Input

Kéo & thả hoặc nhấp để tải lên

Idle

$0.15per run·~66 / $10

ExamplesView all

Related Models

README

LTX-2 19B Video Upscaler

Upscale videos to 720p, 1080p, 2K, or 4K with a simple upload. This is the most advanced video upscaler in the world, delivering the highest output quality and exceptional frame-to-frame consistency.

Why it looks great

  • Temporal consistency: minimizes flicker and ghosting across frames for stable motion.
  • Detail reconstruction: restores fine textures (hair, fabric, foliage) and sharp edges without over-sharpening.
  • Artifact cleanup: reduces compression blocks, ringing, and shimmering in challenging shots.
  • Motion-aware upscaling: preserves fast action and camera pans with fewer motion artifacts.
  • Natural look: balances perceptual quality with crispness to avoid plastic or overprocessed outputs.

Limits and Performance

  • Max clip length per job: up to 10 minutes
  • Processing speed: approximately 10–30 seconds of wall time to process 1 second of video (varies by resolution and queue load)

Pricing

Per-second billing with a 5-second minimum. The table below lists prices per 5 seconds for easy comparison.

Output ResolutionCost per 5 seconds
720p$0.10
1080p$0.15
2K$0.25
4K$0.40

Billing Rules

  • Minimum charge: 5 seconds
  • Per-second rate = (price per 5 seconds) ÷ 5
  • Billed duration = video length in seconds (rounded up), with a 5-second minimum
  • Total cost = billed duration × per-second rate (by output resolution)

How to Use

  1. Choose the target resolution and parameters.
  2. Upload your video (≤ 10 minutes).
  3. Submit the job and wait for processing.
  4. Preview and download the result.

Pro tips for best quality

  • Upload the highest-quality source you have; avoid heavily compressed inputs when possible.
  • Keep original frame rate; avoid unnecessary re-encoding before upload.
  • Pick the lowest resolution that meets your delivery needs (1080p = speed/cost, 2K/4K = maximum detail).
  • For long videos, process in segments to parallelize and then merge.
Accessibility:This website uses AI models provided by third parties.

Ltx 2 19b Video Upscaler API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2-19b/video-upscaler 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 19b Video Upscaler below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2-19b/video-upscaler" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "video": "https://example.com/your-input.mp4",
    "target_resolution": "1080p"
}'

# 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].
Node.js example
// 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-2-19b/video-upscaler", {
        "video": "https://example.com/your-input.mp4",
        "target_resolution": "1080p"
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/ltx-2-19b/video-upscaler",
    {
    "video": "https://example.com/your-input.mp4",
    "target_resolution": "1080p"
}
)

print(output["outputs"][0])  # → URL of the generated output

Ltx 2 19b Video Upscaler API — Frequently asked questions

What is the Ltx 2 19b Video Upscaler API?

Ltx 2 19b Video Upscaler is a WaveSpeedAI model for upscaling, exposed as a REST API on WaveSpeedAI. LTX-2 19B Video Upscaler converts low-resolution videos into crisp 4K footage with seamless motion dynamics and frame consistency. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Ltx 2 19b Video Upscaler API?

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-2-19b-video-upscaler.

How much does Ltx 2 19b Video Upscaler cost per run?

Ltx 2 19b Video Upscaler starts at $0.15 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.

What inputs does Ltx 2 19b Video Upscaler accept?

Key inputs: `video`, `target_resolution`. 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-2-19b-video-upscaler.

How long does Ltx 2 19b Video Upscaler take to generate?

Average end-to-end generation time on WaveSpeedAI is around 36 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Ltx 2 19b Video Upscaler outputs commercially?

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.