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Luma Photon Flash Modify

Luma Photon Flash Modify

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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

ParameterRequiredDescription
promptYesText instruction describing the edit or modification you want.
imageNoSource image to modify (upload or public URL).

How to Use

  1. Write your edit instruction — describe what you want to change.
  2. Use Prompt Enhancer (optional) — click to refine your instruction.
  3. Upload your image — drag and drop or paste a public URL.
  4. Run — click the button to apply the edit.
  5. Download — preview and save your modified image.

Pricing

Flat rate per image.

OutputCost
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

ModelCostSpeedBest For
Photon Flash Modify$0.01FastestText edits, quick fixes, high-volume
Photon Modify$0.015FastBackground 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

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagestringNo-The image to generate an image from.
enable_base64_outputbooleanNofalse-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

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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