Crystal Upscaler | AI Video Upscaler API

Crystal Upscaler — Clarity-AI (Image Super-Resolution)

Crystal Upscaler turns low-res photos into ultra-sharp, high-resolution images while preserving textures, edges, skin tones, text, and fine details. Scale for print, e-commerce, design comps, or archival work with controllable output size in megapixels.

Why creators use it

High-fidelity upscaling with strong detail recovery and anti-haloing
Robust on portraits, products, landscapes, and UI/text overlays
Predictable file sizing via a single control: target_megapixels

Inputs

image: your source photo.
target_megapixels: target output size in megapixels (MP). Example: 12 MP ≈ 4000×3000; 50 MP ≈ 8680×5779 (approx; exact dims depend on aspect ratio).
creativity: negative values stay closer to the source; positive values add more generated detail.

How to use

Upload an image.
Choose a target_megapixels that matches your delivery needs (web, print, poster, etc.).
Adjust creativity only if you want more or less generated detail.
Run and download the upscaled result.

Quick sizing guide

Web/marketing: 6–12 MP
Magazine/full-page print: 16–25 MP
Large posters/retail signage: 25–50 MP
Hero billboards/creative retouch: 50–100 MP

Pricing

Pricing is tiered purely by the target_megapixels you select.

≤ 4 MP — $0.05
> 4 to ≤ 8 MP — $0.10
> 8 to ≤ 16 MP — $0.20
> 16 to ≤ 25 MP — $0.40
> 25 to ≤ 50 MP — $0.80
> 50 to ≤ 100 MP — $1.60
> 100 MP — $3.20

Tips for best results

Start lower (e.g., 4), check sharpness, then push higher if needed.
Feed the cleanest source you have (avoid heavy JPEG artifacts if possible).
Keep aspect ratio as captured; Crystal Upscaler scales without cropping.
For text/UI images, choose a slightly higher MP tier to reduce stair-stepping.

Notes

Very noisy or heavily compressed sources may need light denoising before upscale.

Crystal Upscaler API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/clarity-ai/crystal-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 Crystal Upscaler below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/clarity-ai/crystal-upscaler" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "target_megapixels": 4,
    "creativity": 0
}'

# 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("clarity-ai/crystal-upscaler", {
        "image": "https://example.com/your-input.jpg",
        "target_megapixels": 4,
        "creativity": 0
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "clarity-ai/crystal-upscaler",
    {
    "image": "https://example.com/your-input.jpg",
    "target_megapixels": 4,
    "creativity": 0
}
)

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

Crystal Upscaler API — Frequently asked questions

What is the Crystal Upscaler API?

Crystal Upscaler is a Clarity model for upscaling, exposed as a REST API on WaveSpeedAI. Clarity AI Crystal Upscaler boosts image resolution with AI upscaling and adjustable detail for portraits and landscapes. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Crystal 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/clarity-ai/clarity-ai-crystal-upscaler.

How much does Crystal Upscaler cost per run?

Crystal Upscaler starts at $0.030 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 Crystal Upscaler accept?

Key inputs: `image`, `creativity`, `target_megapixels`. 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/clarity-ai/clarity-ai-crystal-upscaler.

How long does Crystal Upscaler take to generate?

Average end-to-end generation time on WaveSpeedAI is around 10 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Crystal Upscaler outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Clarity). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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