Phota Edit transforms existing images using natural language instructions. Supports up to 10 reference images, 1K and 4K resolutions, and batch output up to 4 images. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.09per run·~11 / $1

Change the man's clothes in the picture to beach casual wear and put on sunglasses.
Phota Edit is an AI-powered image editing model that transforms photos using natural language instructions. Describe the change you want — swap clothing, alter backgrounds, adjust styles, add or remove objects — and the model applies precise, context-aware edits while preserving the rest of the image. Supports multiple input images, batch output, and flexible aspect ratio control.
Natural-language editing Describe your edit in plain text — no masks, no manual selections, no technical knowledge required.
Multi-image input Upload multiple reference images to provide richer visual context for complex edits.
4K output support Generate high-resolution edited results for print, production, or archival use.
Flexible aspect ratio control Output in auto, 1:1, 16:9, 4:3, 3:4, or 9:16 to match your target platform.
Multiple output formats Export in JPEG, PNG, or WebP for any downstream workflow.
Batch output Generate multiple edited variations in a single run using the num_images parameter.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired edit. |
| images | No | One or more source images to edit (URL or file upload). Click Add Item for more. |
| resolution | No | Output resolution: 1K (default) or 4K. |
| num_images | No | Number of edited output variations to generate per run. Default: 1. |
| aspect_ratio | No | Output aspect ratio: auto (default), 1:1, 16:9, 4:3, 3:4, 9:16. |
| output_format | No | Output file format: jpeg (default), png, or webp. |
| Resolution | Cost per Image |
|---|---|
| 1K | $0.09 |
| 4K | $0.18 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/phota/edit 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 Edit below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/phota/edit" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "1K",
"num_images": 1,
"aspect_ratio": "auto",
"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/edit", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "1K",
"num_images": 1,
"aspect_ratio": "auto",
"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/edit",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "1K",
"num_images": 1,
"aspect_ratio": "auto",
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputPhota Edit is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. Phota Edit transforms existing images using natural language instructions. Supports up to 10 reference images, 1K and 4K resolutions, and batch output up to 4 images. 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-edit.
Phota Edit 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: `prompt`, `images`, `aspect_ratio`, `resolution`, `enable_base64_output`, `enable_sync_mode`. 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-edit.
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.