Crystal Upscaler | AI Video Upscaler API

Clarity AI Crystal Upscaler

Clarity AI Crystal Upscaler enhances and enlarges images with a megapixel-based output target and adjustable creativity control. It is designed for photo restoration, product image enhancement, print preparation, archival cleanup, and other workflows where you want a sharper, larger final image with predictable output sizing.

Why Choose This?

Megapixel-based output control
Choose the target output size directly in megapixels for more predictable delivery planning.
Clean high-resolution enhancement
Improve sharpness, detail, and overall clarity for photos, scans, product visuals, and creative assets.
Creativity adjustment
Use creativity to balance strict source preservation against more generated detail.
Simple workflow
Upload one image, choose the target megapixels, optionally adjust creativity, and generate the result.
Production-ready API
Suitable for restoration, publishing, e-commerce, design, and large-format image workflows.

Parameters

Parameter	Required	Description
image	Yes	Input image to upscale.
target_megapixels	No	Requested output size in megapixels. Range: `1–1500 MP`. Default: `4`.
creativity	No	Negative values stay stricter to the source; positive values add more generated detail. Range: `0` to `10`. Default: `0`.

How to Use

Upload your image — provide the source image you want to enhance.
Choose target megapixels — select the output size that best matches your delivery needs.
Adjust creativity (optional) — keep it lower for more faithful restoration, or raise it for stronger generated detail.
Submit — run the model and download the upscaled image.

Example Use Case

Upscale a product photo for print and marketing use while preserving clean edges, surface texture, and overall realism.

Pricing

Pricing is based on the selected target_megapixels tier.

Target Megapixels	Cost
`<= 4 MP`	$0.05
`> 4 MP` and `<= 16 MP`	$0.20
`> 16 MP` and `<= 36 MP`	$0.80
`> 36 MP` and `<= 100 MP`	$1.60
`> 100 MP` and `<= 400 MP`	$6.40
`> 400 MP`	$24.00

Billing Rules

Pricing depends on the selected target_megapixels
Cost uses fixed megapixel tiers rather than scaling linearly
Crossing into a higher megapixel tier moves the request to the next price bracket
creativity does not affect pricing

Best Use Cases

Photo upscaling — Improve clarity and output size for photography and scanned images.
Product image enhancement — Prepare sharper visuals for listings, ads, and catalogs.
Print preparation — Generate larger files for posters, signage, and premium print work.
Archival restoration — Improve older or lower-resolution source images for reuse.
Creative asset production — Produce larger, cleaner visuals for design and publishing workflows.

Pro Tips

Start with a lower megapixel target first, then increase only if you need a larger final output.
Keep creativity near 0 when you want a more natural, source-faithful result.
Lower creativity when preserving structure, faces, logos, or product accuracy matters most.
Raise creativity gradually when you want stronger generated texture or enhancement.
Use the cleanest source image available for better detail recovery.

Notes

image is required.
target_megapixels supports values from 1 to 1500.
creativity ranges from 0 to 10.
Pricing depends only on the selected megapixel tier.
Higher megapixel targets may be more suitable for print, presentation, or premium delivery workflows.

Related Models

Clarity AI Pro Upscaler — A simpler upscaling workflow for clean high-resolution enhancement.
Clarity AI Flux Upscaler — Upscale images with prompt guidance and optional LoRA style control.
Clarity AI Creative Upscaler — Add more style-aware and generative control for portraits, illustrations, and creative workflows.

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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