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Recraft Crisp Upscale

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Recraft Crisp Upscale enhances textures, fine details, and facial features to add depth beyond simple resolution boosts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

upscaler
Input

Kéo & thả hoặc nhấp để tải lên

preview
If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Idle

$0.004per run·~250 / $1

ExamplesView all

Related Models

README

Recraft Crisp Upscale – Image Restoration and Super-Resolution

Recraft Crisp Upscale is an AI-powered enhancer from Recraft that turns low-resolution, noisy, or aged photos into sharper, cleaner, high-resolution images. It is especially strong on portraits and fine details, making it ideal for photo restoration, profile pictures, product images, and social media visuals.

Why it stands out

  • Crisp detail recovery Sharpens edges, textures, and facial features so eyes, hair, and fabric folds look clean and well-defined.

  • Noise and artifact reduction Smooths grain, JPEG blocks, and minor motion blur while preserving structure and character identity.

  • Natural, photo-friendly look Enhances clarity without plastic skin or over-sharpening, keeping the original mood and style of the image.

  • Drop-in enhancement step Works as a final polish in your pipeline: restore old scans, then pass the result straight to design tools, websites, or print.

  • Flexible delivery Returns a standard image URL by default, or base64-encoded data when you enable base64 output via API.

Limits and performance

  • Input: single image (portrait, product photo, scan, or other)
  • Output: enhanced, higher-quality version of the same image (same composition and framing)
  • Typical processing time: a few seconds per image, depending on size and queue load
  • Best for: portraits and real-world photos; heavily stylised art may benefit but is not the primary target

The model focuses on restoration and super-resolution; it does not change content or composition beyond subtle aesthetic enhancement.

Pricing

Simple per-image billing:

  • $0.004 per processed image

Pro tips for best quality

  • Use the highest-quality version of your original image; less compression and higher resolution give the model more to work with.
  • For very old or heavily damaged scans, consider basic dust or scratch removal before running Crisp Upscale.
  • Use it as the last step after colour correction or light retouching to maximise overall clarity and perceived resolution.
Accessibility:This website uses AI models provided by third parties.

Recraft Crisp Upscale API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/recraft-ai/recraft-crisp-upscale 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 Recraft Crisp Upscale below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/recraft-ai/recraft-crisp-upscale" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "enable_base64_output": 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("recraft-ai/recraft-crisp-upscale", {
        "image": "https://example.com/your-input.jpg",
        "enable_base64_output": false
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "recraft-ai/recraft-crisp-upscale",
    {
    "image": "https://example.com/your-input.jpg",
    "enable_base64_output": false
}
)

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

Recraft Crisp Upscale API — Frequently asked questions

What is the Recraft Crisp Upscale API?

Recraft Crisp Upscale is a Recraft model for upscaling, exposed as a REST API on WaveSpeedAI. Recraft Crisp Upscale enhances textures, fine details, and facial features to add depth beyond simple resolution boosts. 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 Recraft Crisp Upscale 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/recraft-ai/recraft-ai-recraft-crisp-upscale.

How much does Recraft Crisp Upscale cost per run?

Recraft Crisp Upscale starts at $0.004 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 Recraft Crisp Upscale accept?

Key inputs: `image`, `enable_base64_output`. 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/recraft-ai/recraft-ai-recraft-crisp-upscale.

How long does Recraft Crisp Upscale take to generate?

Average end-to-end generation time on WaveSpeedAI is around 12 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Recraft Crisp Upscale outputs commercially?

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