Luma Photon Flash Modify is a text-to-image model optimized for creative image generation and prompt-driven modifications. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.01per run·~100 / $1

Turned into anime style

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

Let this polar bear walk on the desert

Change the background to a volcano

Turn her hair red

Change the background to the runway.

Turning clothes into gorgeous gowns

Put some sunglasses on him.

Change the background to seaside

Change the background to street.

Add an earring to the woman's ear

Remove the yarn ball

Remove the dragon's hot air balloon
Edit images at lightning speed with Luma Photon Flash Modify. This ultra-fast model handles text replacement, element modifications, and quick edits with minimal cost — perfect for high-volume workflows, rapid iteration, and simple image adjustments.
Looking for higher quality? Try Luma Photon Modify for enhanced output.
| 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 | $0.01 |
| Model | Cost | Speed | Best For |
|---|---|---|---|
| Photon Flash Modify | $0.01 | Fastest | Text edits, quick fixes, high-volume |
| Photon Modify | $0.015 | Fast | Background replacement, scene changes |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/luma/photon-flash-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 Flash Modify below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/luma/photon-flash-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-flash-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-flash-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 Flash Modify is a Luma model for image editing, exposed as a REST API on WaveSpeedAI. Luma Photon Flash Modify is a text-to-image model optimized for creative image generation and prompt-driven modifications. 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-flash-modify.
Photon Flash Modify starts at $0.010 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-flash-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.