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Luma Photon Flash Text to Image

fal-ai/luma-photon/flash
Generate images from your prompts using Luma Photon Flash. Photon Flash is the most creative, personalizable, and intelligent visual models for creatives, bringing a step-function change in the cost of high-quality image generation.
Inference
Commercial use
Partner
PlaygroundAPI

About

Text To Image Flash

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/luma-photon/flash", {
  input: {
    prompt: "A teddy bear in sunglasses playing electric guitar and dancing"
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.
import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

3. Queue#

Submit a request#

The client API provides a convenient way to submit requests to the model.

import { fal } from "@fal-ai/client";

const { request_id } = await fal.queue.submit("fal-ai/luma-photon/flash", {
  input: {
    prompt: "A teddy bear in sunglasses playing electric guitar and dancing"
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

import { fal } from "@fal-ai/client";

const status = await fal.queue.status("fal-ai/luma-photon/flash", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

import { fal } from "@fal-ai/client";

const result = await fal.queue.result("fal-ai/luma-photon/flash", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

import { fal } from "@fal-ai/client";

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Read more about file handling in our file upload guide.

5. Schema#

Input#

prompt string* required
aspect_ratio AspectRatioEnum

The aspect ratio of the generated video Default value: "1:1"

Possible enum values: 16:9, 9:16, 1:1, 4:3, 3:4, 21:9, 9:21

{
  "prompt": "A teddy bear in sunglasses playing electric guitar and dancing",
  "aspect_ratio": "1:1"
}

Output#

images list<File>* required

The generated image

{
  "images": [
    {
      "url": "",
      "content_type": "image/png",
      "file_name": "z9RV14K95DvU.png",
      "file_size": 4404019
    }
  ]
}

Other types#

ModifyImageRequest#

prompt string* required

Instruction for modifying the image

image_url string* required

URL of the input image to reframe

strength float* required

The strength of the initial image. Higher strength values are corresponding to more influence of the initial image on the output.

aspect_ratio AspectRatioEnum* required

The aspect ratio of the reframed image

Possible enum values: 1:1, 16:9, 9:16, 4:3, 3:4, 21:9, 9:21

File#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

ReframeImageRequest#

image_url string* required

URL of the input image to reframe

aspect_ratio AspectRatioEnum* required

The aspect ratio of the reframed image

Possible enum values: 1:1, 16:9, 9:16, 4:3, 3:4, 21:9, 9:21

prompt string

Optional prompt for reframing

grid_position_x integer

X position of the grid for reframing

grid_position_y integer

Y position of the grid for reframing

x_end integer

End X coordinate for reframing

x_start integer

Start X coordinate for reframing

y_end integer

End Y coordinate for reframing

y_start integer

Start Y coordinate for reframing

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