Luma Photon Flash Modify
Playground
Try it 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.
Features
Luma Photon Flash Modify
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.
Why It Looks Great
- Flash speed: Optimized for the fastest possible generation.
- Text replacement: Edit text directly within images seamlessly.
- Natural language editing: Describe changes in plain English.
- Ultra-affordable: Just $0.01 per image — the lowest cost option.
- Prompt Enhancer: Built-in tool to refine your editing instructions.
- High-volume ready: Perfect for batch processing at scale.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text instruction describing the edit or modification you want. |
| image | No | Source image to modify (upload or public URL). |
How to Use
- Write your edit instruction — describe what you want to change.
- Use Prompt Enhancer (optional) — click to refine your instruction.
- Upload your image — drag and drop or paste a public URL.
- Run — click the button to apply the edit.
- Download — preview and save your modified image.
Pricing
Flat rate per image.
| Output | Cost |
|---|---|
| Per image | $0.01 |
Best Use Cases
- Text Replacement — Fix typos, update text, or change words within images.
- Quick Fixes — Make simple adjustments and corrections rapidly.
- High-Volume Editing — Process large batches of images affordably.
- Rapid Iteration — Test edit concepts quickly before final production.
- E-commerce Updates — Quickly modify product text and labels.
Example Prompts
- “Replace ‘y2ek’ with ‘y2k’ on the shirt”
- “Change the text from ‘SALE’ to ‘NEW’”
- “Fix the spelling of ‘recieve’ to ‘receive’”
- “Replace the logo text with ‘BRAND’”
- “Change ‘2024’ to ‘2025’ on the banner”
- “Update the price tag from ‘$99’ to ‘$79‘“
Model Comparison
| 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 |
Pro Tips for Best Results
- Flash is ideal for text corrections and simple modifications.
- Be precise about what to change: specify the original and replacement text.
- Use quotes around text to be replaced for clarity.
- At $0.01 per image, experiment freely to find the best result.
- For complex scene changes or background swaps, consider Photon Modify.
- Perfect for fixing typos, updating dates, or changing labels.
Notes
- If using a URL, ensure it is publicly accessible.
- Flash mode prioritizes speed — ideal for quick edits and high volume.
- Best for text modifications and simple element changes.
- For more complex edits, use the standard Photon Modify model.
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/luma/photon-flash-modify" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| image | string | No | - | The image to generate an image from. | |
| 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.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| 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 (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 |