Real Esrgan

Playground

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.

Features

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

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/real-esrgan" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

Parameter	Type	Required	Default	Range	Description
image	string	Yes		-	The URL of the image to generate an image from.

Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data.id	string	Unique identifier for the prediction, Task Id
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Result Request Parameters

Parameter	Type	Required	Default	Description
id	string	Yes	-	Task ID

Result Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data	object	The prediction data object containing all details
data.id	string	Unique identifier for the prediction, the ID of the prediction to get
data.model	string	Model ID used for the prediction
data.outputs	string	Array of URLs to the generated content (empty when status is not completed).
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

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