Luma Photon
Playground
Try it on WavespeedAI!Luma Photon is a text-to-image model that converts text prompts into images for prompt-based visual generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Luma Photon
Generate beautiful, atmospheric images with Luma Photon — Luma’s flagship text-to-image model. Known for stunning lighting, natural compositions, and emotionally resonant scenes, Photon delivers professional-quality results at an affordable price.
Looking for faster generation? Try Luma Photon Flash for speed-optimized output at the lowest cost.
Why It Looks Great
- Stunning lighting: Exceptional at natural light, golden hour, and atmospheric glows.
- Emotional resonance: Creates scenes with mood, warmth, and authentic feeling.
- Natural compositions: Produces balanced, visually pleasing layouts.
- Environmental detail: Rich textures like flour dust, steam, and ambient particles.
- Prompt Enhancer: Built-in tool to refine your descriptions automatically.
- Affordable quality: Professional results at just $0.015 per image.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate. |
How to Use
- Write your prompt — describe the scene, lighting, 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 | $0.015 |
Best Use Cases
- Lifestyle Photography — Generate authentic, warm scenes of everyday moments.
- Food & Bakery — Create appetizing culinary and artisan imagery.
- Interior Scenes — Produce cozy, inviting indoor environments.
- Portrait & Character — Generate natural-looking people in context.
- Marketing Content — Create professional visuals for brands and campaigns.
Example Prompts
- “Baker arranging bread on wooden shelves in a rustic bakery, flour dust in the air, morning glow from the window”
- “Barista pouring latte art, steam rising, warm cafe lighting, artisan coffee shop”
- “Grandmother reading to grandchild on a cozy couch, soft lamp light, warm evening”
- “Florist arranging bouquet in sunlit shop, petals scattered on counter, peaceful morning”
- “Chef plating dish in restaurant kitchen, focused expression, professional environment”
Model Comparison
| Model | Cost | Speed | Best For |
|---|---|---|---|
| Photon | $0.015 | Standard | Quality output, professional work |
| Photon Flash | $0.005 | Fastest | High-volume, prototyping, budget work |
Pro Tips for Best Results
- Photon excels at natural lighting — describe light sources and quality.
- Include atmospheric particles: “flour dust”, “steam rising”, “dust motes”.
- Specify time of day: “morning glow”, “golden hour”, “soft evening light”.
- Describe textures and materials: “wooden shelves”, “rustic”, “artisan”.
- Add emotional context: “cozy”, “peaceful”, “focused”, “warm”.
- Luma models are known for photorealistic, emotionally authentic scenes.
Notes
- Photon delivers Luma’s best quality for text-to-image generation.
- Processing is fast with professional-grade output.
- Ideal for final deliverables and client-facing work.
- For rapid iteration at lowest cost, use Photon Flash.
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" \
--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 |