Crystal Video Upscaler | AI Video Upscaler API

Clarity AI Crystal Video Upscaler

Clarity AI Crystal Video Upscaler enhances and enlarges video content with a simple megapixel-based target control. Upload a source video, choose the desired target megapixels, and generate a cleaner, sharper upscaled result for higher-quality delivery, presentation, or archival workflows.

Why Choose This?

Video upscaling workflow Improve the visual quality of existing video content with a simple upload-and-upscale process.
Megapixel-based output control Use target_megapixels to choose the intended output size more directly.
Simple pricing logic Cost scales with both target megapixels and video duration, with a minimum charge for very small jobs.
Suitable for restoration and delivery Useful for sharpening low-resolution clips for presentations, publishing, or asset reuse.
Production-ready API Suitable for enhancement pipelines, archival cleanup, and commercial video preparation workflows.

Parameters

Parameter	Required	Description
video	Yes	Input video to upscale.
target_megapixels	No	Target output size in megapixels. Higher values produce larger and more detailed upscaled frames.

How to Use

Upload your video — provide the source video you want to enhance.
Choose target megapixels — set the desired output size based on your delivery needs.
Submit — run the model and download the upscaled video.

Example Use Case

Upscale a low-resolution talk-show or interview clip to a cleaner, sharper version for reuse in presentations, publishing, or social distribution.

Pricing

Pricing is based on video duration and target_megapixels.

Billing Rules

Base price is $0.10
Standard rate is $0.10 × target_megapixels × video duration (seconds)
The final charge is the greater of:
- $0.10 minimum
- $0.10 × target_megapixels × duration

Example Costs

Target Megapixels	1s	5s	10s
1 MP	$0.10	$0.50	$1.00
2 MP	$0.20	$1.00	$2.00
4 MP	$0.40	$2.00	$4.00
8 MP	$0.80	$4.00	$8.00

Best Use Cases

Low-resolution video enhancement — Improve the clarity of older or compressed video clips.
Presentation and publishing prep — Generate cleaner upscaled outputs for decks, demos, and public distribution.
Archival restoration workflows — Prepare sharper versions of legacy footage for reuse.
Commercial asset improvement — Upgrade visual quality for marketing, social, and branded content.
General video cleanup — Increase perceived quality for clips that need a higher-resolution presentation.

Pro Tips

Start with a lower target_megapixels value first to validate cost and output quality.
Use clean source video whenever possible for better enhancement results.
Higher megapixel targets can increase cost quickly on longer clips.
Short clips are a good way to test the workflow before processing longer footage.

Notes

video is required.
Pricing depends on both target_megapixels and source video duration.
A minimum charge of $0.10 applies.
Longer videos and larger target sizes increase cost proportionally.

Related Models

Other Clarity AI upscaling and enhancement models may be useful when you need image-first workflows or different restoration trade-offs.

Crystal Video Upscaler API — Quick start

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

HTTP example

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

# 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-video-upscaler", {
        "video": "https://example.com/your-input.mp4",
        "target_megapixels": 2
});

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

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "clarity-ai/crystal-video-upscaler",
    {
    "video": "https://example.com/your-input.mp4",
    "target_megapixels": 2
}
)

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

Crystal Video Upscaler API — Frequently asked questions

What is the Crystal Video Upscaler API?

Crystal Video Upscaler is a Clarity model for upscaling, exposed as a REST API on WaveSpeedAI. Clarity AI Crystal Video Upscaler is a fast AI video super-resolution model that increases video resolution with target megapixel control and Clarity AI crystal-video processing. Ready-to-use REST inference API for enhancing low-resolution videos, restoring details, improving visual clarity, upscaling creative clips, product videos, social media content, and professional video enhancement workflows with simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.

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

How much does Crystal Video Upscaler cost per run?

Crystal Video Upscaler starts at $0.10 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 Video Upscaler accept?

Key inputs: `video`, `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-video-upscaler.

How do I get started with the Crystal Video 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 Crystal Video 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

Clarity AI Crystal Video Upscaler

Why Choose This?

Parameters

How to Use

Example Use Case

Pricing

Billing Rules

Example Costs

Best Use Cases

Pro Tips

Notes

Related Models

Crystal Video Upscaler API — Quick start

Crystal Video Upscaler API — Frequently asked questions