Pruna Ai P Image Upscale
Playground
Try it on WavespeedAI!Pruna AI P-Image Upscale is a fast AI image upscaling model that enhances image resolution and improves visual detail. Ready-to-use REST inference API for product photos, portraits, design assets, e-commerce images, social media visuals, and image enhancement workflows with simple integration, no coldstarts, and affordable pricing.
Features
Pruna AI P-Image Upscale
Pruna AI P-Image Upscale enhances and enlarges images with a simple workflow built around target size selection and flexible output formatting. It is suitable for restoring old images, improving low-resolution assets, preparing sharper visuals for design or marketing, and generating cleaner outputs for downstream use.
Why Choose This?
-
Simple image upscaling Upload a single image and generate a higher-quality result with minimal configuration.
-
Target-based output control Use the
targetsetting to choose the desired upscale level or output target. -
Clean enhancement workflow Improve image clarity for photos, scans, product images, and other visual assets.
-
Flexible output format Export the upscaled image in a supported format such as
png. -
Affordable pricing Uses a simple low-cost pricing structure based on the selected target tier.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Input image to upscale. |
| target | No | Target upscale setting or output target level. Higher values produce a larger or stronger upscale result. |
| output_format | No | Output image format, such as png. |
How to Use
- Upload your image — provide the source image you want to enhance.
- Choose the target — select the upscale target that best matches your quality needs.
- Choose output format (optional) — select the format that best fits your workflow.
- Submit — run the model and download the upscaled image.
Example Use Case
Upscale an old street photograph to produce a cleaner, sharper version for archival, presentation, or creative reuse.
Pricing
Pricing is based on the selected target tier.
| Target | Cost |
|---|---|
<= 4 | $0.005 |
> 4 | $0.010 |
Billing Rules
- Requests with
target <= 4cost $0.005 per image - Requests with
target > 4cost $0.010 per image - Pricing depends on the selected
target output_formatdoes not affect pricing
Best Use Cases
- Old photo enhancement — Improve the clarity of scanned or low-resolution photographs.
- Design asset preparation — Create sharper source images for layouts, presentations, and creative projects.
- Product image improvement — Upscale commercial visuals for catalogs, ads, and marketplace listings.
- Archival restoration workflows — Produce cleaner and larger outputs from legacy image assets.
- General low-resolution cleanup — Improve images that need a simple boost in size and quality.
Pro Tips
- Start with the lower
targetsetting first if you want a faster and cheaper test run. - Use a clean source image whenever possible for better enhancement results.
- Choose a higher
targetonly when you actually need the larger or stronger upscale output. pngis a good choice when you want to preserve output quality.
Notes
imageis the only required field.- Pricing depends on the selected
targettier. output_formatchanges the file type, but not the price.- Higher target values may be more suitable for print, detailed review, or premium delivery workflows.
Related Models
- Pruna AI P-Image Text-to-Image — Generate new images directly from text prompts.
- Pruna AI P-Image Edit — Edit existing images with natural-language instructions.
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/pruna-ai/p-image/upscale" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"target": 4,
"output_format": "png",
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | Input image URL. | |
| target | integer | No | 4 | 1, 2, 3, 4, 5, 6, 7, 8 | Target output size in megapixels. |
| output_format | string | No | png | png, jpg, webp | Output image format. |
| enable_sync_mode | boolean | No | false | - | If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API. |
| enable_base64_output | boolean | No | false | - | If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API. |
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.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. |
| 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 |