Phota Enhance improves image quality and detail. Supports batch enhancement up to 4 images with JPEG, PNG, or WebP output. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.09per run·~11 / $1

Phota Enhance restores and upscales images with AI-powered detail reconstruction. Upload a photo and get a sharper, cleaner, higher-quality result — whether you're restoring an old scan, fixing a compressed image, or preparing assets for high-resolution output. Supports batch processing and multiple output formats.
AI-powered detail reconstruction Recovers fine textures, sharp edges, and lost detail from low-quality or compressed source images.
Multiple output formats Export in JPEG, PNG, or WebP to fit any downstream workflow or delivery requirement.
Batch processing Generate multiple enhanced versions in a single run using the num_images parameter.
4K output support Upscale to 4K resolution for print, broadcast, or archival use cases.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Source image to enhance (URL or file upload). |
| num_images | No | Number of enhanced outputs to generate per run. Default: 1. |
| output_format | No | Output file format: jpeg (default), png, or webp. |
| Resolution | Cost per Image |
|---|---|
| Standard | $0.09 |
| 4K | $0.18 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/phota/enhance 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 Phota Enhance below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/phota/enhance" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg",
"num_images": 1,
"output_format": "jpeg",
"enable_sync_mode": false,
"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].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/phota/enhance", {
"image": "https://example.com/your-input.jpg",
"num_images": 1,
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/phota/enhance",
{
"image": "https://example.com/your-input.jpg",
"num_images": 1,
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputPhota Enhance is a WaveSpeedAI model for upscaling, exposed as a REST API on WaveSpeedAI. Phota Enhance improves image quality and detail. Supports batch enhancement up to 4 images with JPEG, PNG, or WebP output. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
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/wavespeed-ai/phota-enhance.
Phota Enhance starts at $0.090 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.
Key inputs: `image`, `enable_base64_output`, `enable_sync_mode`, `num_images`, `output_format`. 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/phota-enhance.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
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.