Real-ESRGAN is an open-source AI-powered image restoration and super-resolution model designed to upscale low-resolution images by – while removing noise, compression artifacts, and restoring fine details. It is particularly effective for real-world images, including photos, anime, and graphics, often employing U-Net discriminators to create sharp, high-fidelity outputs.
One POST request. Get the result back directly — as an image, video, or JSON depending on the tool.
curl -X POST https://apiai.me/api/workflow/real-esrgan \
-H "X-API-Key: YOUR_API_KEY" \
-F "image=@input.jpg" \
-F "face_enhance=false" \
-F "sample_percent=10" \
-F "scale=4" \
-F "threshold=250"
--output result.png
Test this tool visually before writing any code. Upload an image, set parameters, and see the result live. When it looks right, copy the auto-generated curl command and paste it into your app.
Process hundreds of images at once without writing a loop. Upload a CSV with one row per item, set your parameters, and download the results as a ZIP when they're done.
| Name | Required | Description | Default / Options |
|---|---|---|---|
face_enhance |
optional | Run GFPGAN face enhancement along with upscaling | false
|
sample_percent |
optional | % of edge pixels that must be transparent (default: 10) | 10
|
scale |
optional | Factor to scale image by | 4
|
threshold |
optional | Alpha threshold for | 250
|
Get an API key, test Real Esrgan Upscaler in the dashboard, and copy the curl command.