Pro Upscaler | AI Video Upscaler API

Clarity AI Pro Upscaler

Clarity AI Pro Upscaler upscales images with Clarity AI while exposing a simple target_megapixels control for predictable output sizing. The backend prepares the input and selects the appropriate upstream scaling settings so the final image lands close to the requested megapixel target.

Why Choose This?

Predictable output sizing Set the desired output directly with target_megapixels for easier delivery planning and cost control.
Simple enhancement workflow Upload an image, choose the target megapixels, optionally adjust creativity, and generate the result.
Flexible restoration strength Use creativity to balance stricter source preservation against stronger generated detail.
Reliable output delivery Generated images are rehosted to the WaveSpeed CDN for fast preview and download.
Modern Clarity AI pipeline Powered by the latest Clarity AI workflow with RunPod-backed execution.

Parameters

Parameter	Required	Description
`image`	Yes	Input image URL or uploaded image.
`target_megapixels`	No	Requested output size in megapixels. Use `4 MP` for quick tests, `8–16 MP` for high-quality web or print assets, and larger values for large-format delivery.
`creativity`	No	Negative values stay closer to the source, while positive values add more generated detail.

How to Use

Upload your image — paste a URL or upload the source image.
Choose target megapixels — select the output size that matches your delivery needs.
Adjust creativity (optional) — lower values keep the result stricter to the source, while higher values add more generated detail.
Submit — run the model and download the upscaled image.

Quick Sizing Guide

4 MP — fast testing and lightweight output
8–16 MP — high-quality web, e-commerce, and standard print assets
25 MP+ — large-format delivery and premium output needs

Pricing

Pricing is based on the requested target_megapixels.

Rate: $0.03 per target megapixel

Example Costs

Target Megapixels	Cost
4 MP	$0.12
8 MP	$0.24
16 MP	$0.48
64 MP	$1.92

Billing Rules

Pricing scales linearly with target_megapixels
Each additional megapixel adds $0.03
creativity does not affect pricing

Best Use Cases

Photo enhancement — improve resolution while preserving structure and natural detail
E-commerce assets — prepare sharper product images for listings, ads, and catalogs
Creative delivery — generate larger outputs for campaigns, presentations, and design workflows
Print preparation — produce higher-resolution assets for brochures, posters, and other print use
AI image cleanup — refine generated images into cleaner, more usable high-resolution outputs

Pro Tips

Start with a smaller megapixel target first, then increase only when you need a larger final output.
Keep creativity lower when identity, structure, or product accuracy matters most.
Increase creativity gradually if you want stronger generated texture or sharper enhancement.
Use the cleanest source image available for better detail recovery.

Notes

The backend may resize the input before calling Clarity AI so the upstream output stays close to the requested target_megapixels.
Clean, high-quality inputs generally produce the best results.
Output size is controlled by the requested megapixel target rather than a fixed resolution tier.

Pro Upscaler API — Quick start

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

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/clarity-ai/pro-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/pro-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/pro-upscaler",
    {
    "image": "https://example.com/your-input.jpg",
    "target_megapixels": 4,
    "creativity": 0
}
)

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

Pro Upscaler API — Frequently asked questions

What is the Pro Upscaler API?

Pro Upscaler is a Clarity model for upscaling, exposed as a REST API on WaveSpeedAI. Clarity Pro Upscaler is a photorealistic image upscaler from Clarity AI with identity preservation, creative detail control, and up to 16x scaling. 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 Pro 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-pro-upscaler.

How much does Pro Upscaler cost per run?

Pro 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 Pro 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-pro-upscaler.

How do I get started with the Pro Upscaler API?

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.

Can I use Pro 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.

ExamplesView all

Related Models

README