Luma Photon Flash

Playground

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

Luma Photon Flash

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

Parameter	Required	Description
prompt	Yes	Text description of the image you want to generate.

How to Use

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

Pricing

Flat rate per image.

Output	Cost
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

Model	Cost	Speed	Best For
Photon Flash	$0.005	Fastest	High-volume, prototyping, budget work
Photon	Higher	Standard	Quality 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


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/luma/photon-flash" \
--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.
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

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