Real Esrgan | Fast Image Editing API

Real-ESRGAN — wavespeed-ai/real-esrgan

Real-ESRGAN is an image upscaling and enhancement model that improves resolution and perceived detail while keeping the original content intact. Upload a low-resolution or slightly blurry image and the model produces a sharper, higher-quality result suitable for publishing, sharing, or downstream generation workflows. It’s commonly used as a final polish step for portraits, product photos, and AI-generated images.

Key capabilities

Image upscaling (super-resolution) from a single input image
Enhances perceived sharpness and fine details
Reduces common low-res artifacts and compression noise
Works well for portraits, objects, and general photography
Simple “upload → enhance” workflow

Use cases

Upscale AI-generated images before posting or printing
Improve clarity of portraits and faces (light enhancement)
Enhance product photos for e-commerce listings
Reduce compression artifacts in web images
Preprocess inputs for other models that benefit from higher-res images

Pricing

Output	Price
Per upscaled image	$0.0024

Inputs

image (required): the image to upscale/enhance

Tips

Start with already well-exposed images for best results
If the source is extremely blurry, expect improvement but not full recovery of lost detail
For stylized images, run a small batch and pick the most natural-looking output

Real Esrgan API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/real-esrgan with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read URLs from data.outputs. Examples for Real Esrgan below.

HTTP example

# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/real-esrgan" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg"
}'

# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
  --retry 4 --retry-all-errors --retry-delay 1 \
  -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.

Node.js example

// npm install wavespeed
const { Client } = require('wavespeed');

const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey);

try {
  const result = await client.run("wavespeed-ai/real-esrgan", {
        "image": "https://example.com/your-input.jpg"
}, {
    timeout: 3600,
    pollInterval: 2.0,
  });
  console.log(result.outputs);
} catch (error) {
  console.error('Generation failed:', error);
  process.exitCode = 1;
}

Python example

# pip install wavespeed
import os
from wavespeed import Client

client = Client(api_key=os.environ["WAVESPEED_API_KEY"])

try:
    output = client.run(
        "wavespeed-ai/real-esrgan",
        {
    "image": "https://example.com/your-input.jpg"
},
        timeout=3600.0,
        poll_interval=2.0,
    )
    print(output["outputs"])
except Exception as error:
    raise SystemExit(f"Generation failed: {error}") from error

Real Esrgan API — Frequently asked questions

What is the Real Esrgan API?

Real Esrgan is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. Real-ESRGAN delivers high-quality image super-resolution with optional face correction and adjustable upscale factors. 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 Real Esrgan 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/real-esrgan.

How much does Real Esrgan cost per run?

Real Esrgan starts at $0.002 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 Real Esrgan accept?

Key inputs: `image`. 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/real-esrgan.

How long does Real Esrgan take to generate?

Average end-to-end generation time on WaveSpeedAI is around 13 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Real Esrgan 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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