Luma Photon Modify is a text-to-image generation model that converts text prompts into images for creative and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
En attente

$0.015par exécution·~66 / $1

Change the background to large performance stage

Change the car color to pink

Turn this photo into color

Turned into anime style

Put a sunglasses on this guy.

Replace “y2ek” with “y2k” on the shirt.

Put this man in a pilot's uniform.

Remove the moon behind the girl
Edit and transform images with natural language using Luma Photon Modify. Simply describe the changes you want — swap backgrounds, modify elements, or transform scenes — and watch your image transform instantly. Perfect for quick edits, background replacements, and creative modifications.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text instruction describing the edit or modification you want. |
| image | No | Source image to modify (upload or public URL). |
Flat rate per image.
| Output | Cost |
|---|---|
| Per image | $0.015 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/luma/photon-modify 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 Photon Modify below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/luma/photon-modify" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"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("luma/photon-modify", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"luma/photon-modify",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputPhoton Modify is a Luma model for image editing, exposed as a REST API on WaveSpeedAI. Luma Photon Modify is a text-to-image generation model that converts text prompts into images for creative and production workflows. 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/luma/luma-photon-modify.
Photon Modify starts at $0.015 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`, `image`, `enable_base64_output`. 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/luma/luma-photon-modify.
Average end-to-end generation time on WaveSpeedAI is around 15 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Luma). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.