Luma Photon Flash

Luma Photon Flash

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Luma Photon Flash is a Luma text-to-image model that generates images directly from text prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Generate images at incredible speed and unbeatable value with Luma Photon Flash. At just $0.005 per image, this ultra-fast text-to-image model delivers quality results for rapid prototyping, high-volume generation, and budget-conscious creative work.

Looking for higher quality? Try Luma Photon for enhanced output.

Why It Looks Great

  • Unbeatable price: Just $0.005 per image — generate 200 images for $1.
  • Flash speed: Optimized for the fastest possible generation.
  • Atmospheric scenes: Creates mood-driven, emotionally resonant imagery.
  • Prompt Enhancer: Built-in tool to refine your descriptions automatically.
  • High-volume ready: Perfect for batch generation and rapid iteration.

Parameters

ParameterRequiredDescription
promptYesText description of the image you want to generate.

How to Use

  1. Write your prompt — describe the scene, mood, and atmosphere.
  2. Use Prompt Enhancer (optional) — click to automatically enrich your description.
  3. Run — click the button to generate.
  4. Download — preview and save your image.

Pricing

Flat rate per image.

OutputCost
Per image$0.005
100 images$0.50
1,000 images$5.00

Best Use Cases

  • Rapid Prototyping — Test concepts and ideas at minimal cost.
  • High-Volume Generation — Produce large batches affordably.
  • Mood Boards — Generate multiple atmospheric images for inspiration.
  • Social Media Content — Create visuals for posts and stories quickly.
  • Creative Exploration — Experiment freely without budget concerns.

Example Prompts

  • “Teen girl journaling in bed by phone flashlight, stuffed animals around her, stickers on the wall, cozy and introspective vibe”
  • “Neon-lit ramen shop at night, steam rising, lonely customer at counter”
  • “Cat sleeping on a sunny windowsill, dust particles in light, peaceful afternoon”
  • “Abandoned amusement park at dusk, nostalgic and slightly eerie atmosphere”
  • “Couple sharing headphones on a train, city lights passing by window”

Model Comparison

ModelCostSpeedBest For
Photon Flash$0.005FastestHigh-volume, prototyping, budget work
PhotonHigherStandardQuality output, final deliverables

Pro Tips for Best Results

  • Include mood and atmosphere: “cozy”, “introspective”, “nostalgic”, “peaceful”.
  • Describe lighting conditions: “phone flashlight”, “neon-lit”, “sunny”.
  • Add environmental details for richer scenes.
  • At $0.005, generate many variations and pick the best.
  • Perfect for exploring ideas before committing to higher-quality generation.
  • Flash excels at atmospheric, mood-driven scenes.

Notes

  • The most affordable text-to-image option available.
  • Flash mode prioritizes speed and cost efficiency.
  • Ideal for testing prompts before using premium models.
  • Processing is optimized for rapid turnaround.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/luma/photon-flash" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
enable_base64_outputbooleanNofalse-If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN.

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.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (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

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
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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