Image Upscaler | AI Video Upscaler API

WaveSpeedAI — AI Image Upscaler

The AI Image Upscaler is a high-performance enhancement model that intelligently increases image resolution while preserving details, sharpness, and natural texture. It uses advanced deep learning upscaling to restore fine features and eliminate blur or compression artifacts.

⚙️ Key Features

Multi-Level Resolution Enhancement Supports upscale outputs to 2K, 4K, and 8K resolution.
Detail Preservation Retains texture and structure without introducing artifacts or noise.
Flexible Output Formats Choose between JPEG, PNG, or WEBP for your preferred output.
Fast & Efficient Optimized inference ensures fast processing even for high-resolution images.

💡 Recommended Use Cases

Professional photography restoration
AI artwork enhancement
Product image and marketing material optimization
Upscaling low-resolution screenshots or videos

💰 Pricing

Every run only for $0.01 !!!

📝 Notes

Please ensure your input image quality is reasonably clear for optimal enhancement.
For extremely low-resolution or compressed inputs, try 4K mode for better reconstruction.
If you need ultra-high fidelity upscaling, consider upgrading to Ultimate Image Upscaler.

Image Upscaler API — Quick start

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

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/image-upscaler" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "target_resolution": "4k",
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_sync_mode": false
}'

# 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("wavespeed-ai/image-upscaler", {
        "image": "https://example.com/your-input.jpg",
        "target_resolution": "4k",
        "output_format": "jpeg",
        "enable_base64_output": false,
        "enable_sync_mode": false
});

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

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/image-upscaler",
    {
    "image": "https://example.com/your-input.jpg",
    "target_resolution": "4k",
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_sync_mode": false
}
)

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

Image Upscaler API — Frequently asked questions

What is the Image Upscaler API?

Image Upscaler is a WaveSpeedAI model for upscaling, exposed as a REST API on WaveSpeedAI. AI Image Upscaler that enhances image resolution to 4K or 8K while improving detail and clarity for photos and graphics. 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 Image 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/wavespeed-ai/image-upscaler.

How much does Image Upscaler cost per run?

Image Upscaler starts at $0.010 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 Image Upscaler accept?

Key inputs: `image`, `enable_base64_output`, `enable_sync_mode`, `output_format`, `target_resolution`. 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/wavespeed-ai/image-upscaler.

How long does Image Upscaler take to generate?

Average end-to-end generation time on WaveSpeedAI is around 18 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Image Upscaler outputs commercially?

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

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