Video Upscaler Pro API
WaveSpeedAI Video Upscaler Pro — AI-driven video upscaling to 4K with seamless frame-to-frame consistency. No flicker, no temporal artifacts, production-ready output.
About the Video Upscaler Pro API
What Video Upscaler Pro does, how it fits in the WaveSpeedAI model lineup, and why teams reach for it.
Video Upscaler Pro is a AI upscaling model from WaveSpeedAI, available through the WaveSpeedAI REST API. WaveSpeedAI Video Upscaler Pro — AI-driven video upscaling to 4K with seamless frame-to-frame consistency. No flicker, no temporal artifacts, production-ready output.
The Video Upscaler Pro family on WaveSpeedAI ships 1 REST endpoint covering Upscaler workflow. Each variant carries its own pricing, parameter knobs, and example outputs — pick the one that matches your input modality and production constraints, or call several from the same API key to compose multi-step pipelines.
Run Video Upscaler Pro through the same API key, billing account, and rate-limit envelope you use for the other 1,000+ AI models on WaveSpeedAI. No separate vendor setup, no per-provider SDKs, no per-vendor rate-limit envelopes — one integration covers everything from text-to-image and text-to-video through audio synthesis, 3D generation, upscaling, and editing.
All Video Upscaler Pro API endpoints
1 endpoint available now on WaveSpeedAI — pick the variant that matches your workflow.
See Video Upscaler Pro in action
Real outputs generated by the Video Upscaler Pro API. Hover any video to preview, click to open the full-size viewer.
How to use the Video Upscaler Pro API
Four steps from signup to a finished generation. Full Python, Node.js, and cURL examples are in the API section below.
- 1
Get an API key
Sign up for a WaveSpeedAI account and copy your API key from the dashboard. New accounts come with free starter credits — enough to run the playground a few dozen times before billing kicks in.
- 2
Submit a prediction
POST your input as JSON to https://api.wavespeed.ai/api/v3/wavespeed-ai/video-upscaler-pro. The endpoint returns a prediction id immediately — generations are async so you don't hold an open connection during inference.
- 3
Poll for completion
GET https://api.wavespeed.ai/api/v3/predictions/{request_id}/result every 1-2 seconds. The response includes a status field; keep polling until it flips from "queued" or "processing" to "completed".
- 4
Read the output URL
Once status is "completed", read the URL from data.outputs[0]. The URL points to your generated media on the WaveSpeedAI CDN — image, video, audio, or 3D file depending on the Video Upscaler Pro variant you called.
What you can build with Video Upscaler Pro
Common workflows developers and creators use the Video Upscaler Pro API for.
Archive video restoration
Bring SD or low-bitrate footage up to HD/4K for re-broadcast, streaming, or documentary use. Frame-consistency keeps motion natural across the upscale.
AI-generated video upscaling
Most AI video models cap at 720p-1080p native. Use Video Upscaler Pro to push generations to 4K delivery without the flicker artifacts of frame-by-frame image upscalers.
Streaming and broadcast prep
Prepare lower-resolution source material for 4K streaming platforms — usable for OTT delivery, YouTube 4K, and broadcast finalization.
Vintage camera footage upgrade
GoPro, DSLR, and phone footage from older devices can be upscaled to modern resolutions while preserving the original camera character.
Documentary footage enhancement
Documentary work that mixes archival low-res clips with modern 4K footage — Video Upscaler Pro homogenizes resolution across the timeline.
Tips for prompting Video Upscaler Pro
Practical advice for getting better outputs from Video Upscaler Pro — drawn from the patterns that work across upscaler models in production pipelines.
Pick the smallest scale factor that meets your target
2x is the sweet spot for most footage. 4x and 8x amplify any compression artifacts, banding, or noise in the source. If you need 4x, consider running 2x twice with different settings rather than a single 4x pass.
Use face-enhanced mode for portraits
Many upscalers have a face-specific enhancement mode that preserves identity and skin texture better than the generic pass. If the source has visible faces, switch it on — generic upscalers often over-smooth skin and 'fix' subtle facial features in ways that lose likeness.
Match codec and color space on the way out
After upscaling video, re-encode to a codec and color space that match your downstream pipeline (Rec.709 for delivery, ProRes for editorial). The upscaler's raw output is usually fine; the encode is where many quality losses happen.
Video Upscaler Pro API pricing
Pricing is per-output. The final charge scales with the parameters you set in each variant's playground (resolution, duration, output count, references).
| Endpoint | Type | Starting price |
|---|---|---|
| wavespeed-ai/video-upscaler-pro | upscaler | $0.15 |
Call the Video Upscaler Pro API
Sign up for an API key at wavespeed.ai/accesskey, then submit a prediction via REST. The playground generates ready-to-paste samples for any combination of inputs.
HTTP example
# 1. Submit a prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-upscaler-pro" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{}'
# 2. Poll the result until status = "completed"
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# Read the output URL from data.outputs[0].Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY
const result = await client.run("wavespeed-ai/video-upscaler-pro", {});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/video-upscaler-pro",
{}
)
print(output["outputs"][0]) # → URL of the generated outputVideo Upscaler Pro vs alternatives
When to pick Video Upscaler Pro over similar models on WaveSpeedAI.
Video Upscaler Pro vs Topaz Video AI
Topaz Video AI is desktop-only with high local GPU requirements. Video Upscaler Pro is a REST API — better for cloud pipelines, batch jobs, and SaaS integration without per-seat licensing.
Video Upscaler Pro vs Real-ESRGAN video pipelines
Real-ESRGAN can be applied to video frame-by-frame, but produces flicker because each frame is upscaled independently. Video Upscaler Pro maintains temporal consistency across frames.
Video Upscaler Pro vs NVIDIA RTX Video Super Resolution
RTX VSR is consumer playback only — it upscales video at decode time in supported browsers. Video Upscaler Pro produces an upscaled output file for production delivery.
Video Upscaler Pro API — Frequently asked questions
Pricing, license, integration — common questions about running Video Upscaler Pro on WaveSpeedAI.
What is the Video Upscaler Pro API?
Video Upscaler Pro is a WaveSpeedAI upscaler model exposed as a REST API on WaveSpeedAI. WaveSpeedAI Video Upscaler Pro — AI-driven video upscaling to 4K with seamless frame-to-frame consistency. No flicker, no temporal artifacts, production-ready output. You can call it programmatically or try it from the playground linked above.
How do I call the Video Upscaler Pro API?
Sign up for a WaveSpeedAI account, copy your API key from /accesskey, then POST to https://api.wavespeed.ai/api/v3/wavespeed-ai/video-upscaler-pro 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]. Full Python / Node.js / cURL examples are above.
How much does the Video Upscaler Pro API cost?
Video Upscaler Pro starts at $0.15 per run. The exact cost scales with the parameters you set (resolution, duration, output count, references). The live cost preview next to the Generate button in the playground shows the exact price for your current input.
Which Video Upscaler Pro variants are available?
WaveSpeedAI hosts 1 Video Upscaler Pro endpoints: wavespeed-ai/video-upscaler-pro. Each variant has its own playground page and pricing.
Can I use Video Upscaler Pro outputs commercially?
Commercial usage rights follow the WaveSpeedAI model license. Most WaveSpeedAI models permit commercial output use; see each model's playground page for the specific license summary, and WaveSpeedAI's Terms of Service for platform-level conditions.
Why use Video Upscaler Pro on WaveSpeedAI instead of going direct?
One API key + one billing account across Video Upscaler Pro AND 1,000+ other AI models from other providers. No per-vendor SDK setup, no separate rate-limit envelopes, no rewrite-per-vendor integration code. Pricing is typically at parity with or below WaveSpeedAI's direct API.
About WaveSpeedAI
The team behind Video Upscaler Pro and the broader WaveSpeedAI model lineup on WaveSpeedAI.
WaveSpeedAI runs an inference platform that hosts 1,000+ AI models from every major provider — ByteDance, Google, OpenAI, Alibaba, Kuaishou, ElevenLabs, and dozens of independent labs — behind one API key, one billing account, and one rate-limit envelope. WaveSpeedAI also ships first-party models (Image / Video Upscalers, Watermark Removers, Animate, InfiniteTalk) tuned for production pipelines.
Start building with Video Upscaler Pro on WaveSpeedAI
Free starter credits on signup. One API key across 1,000+ AI models from WaveSpeedAI and every other provider.
