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Imagineart 1.5 Preview Text to Image

imagineart/imagineart-1.5-preview/text-to-image
ImagineArt 1.5 text-to-image model generates high-fidelity professional-grade visuals with lifelike realism, strong aesthetics, and text that actually reads correctly.
Inference
Commercial use
Partner
Schema
LLMs
PlaygroundAPI

About

Generate an image using ImagineArt 1.5 with classification and enhancement middleware.

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("imagineart/imagineart-1.5-preview/text-to-image", {
  input: {
    prompt: "A high-angle, realistic photograph capturing a spontaneous moment of pure joy on a bright, sunny day. A young woman with long, wavy brown hair is sitting on the curb of an urban street, her head tilted all the way back as she laughs or shouts ecstatically up at the sky. She is wearing large black sunglasses, which have a bright glare from the sun, a white ribbed tank top with black trim, and black jeans. One of her hands is raised towards her face, fingers loosely curled near her sunglasses. The background is dominated by the strong graphic pattern of a black asphalt road with thick, white painted lines of a crosswalk. The lighting is harsh and direct, creating high contrast and deep shadows on the pavement, and brightly illuminating the woman's sun-kissed skin. The shot has a candid, in-the-moment feel, emphasizing the carefree and happy mood."
  },
  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("imagineart/imagineart-1.5-preview/text-to-image", {
  input: {
    prompt: "A high-angle, realistic photograph capturing a spontaneous moment of pure joy on a bright, sunny day. A young woman with long, wavy brown hair is sitting on the curb of an urban street, her head tilted all the way back as she laughs or shouts ecstatically up at the sky. She is wearing large black sunglasses, which have a bright glare from the sun, a white ribbed tank top with black trim, and black jeans. One of her hands is raised towards her face, fingers loosely curled near her sunglasses. The background is dominated by the strong graphic pattern of a black asphalt road with thick, white painted lines of a crosswalk. The lighting is harsh and direct, creating high contrast and deep shadows on the pavement, and brightly illuminating the woman's sun-kissed skin. The shot has a candid, in-the-moment feel, emphasizing the carefree and happy mood."
  },
  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("imagineart/imagineart-1.5-preview/text-to-image", {
  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("imagineart/imagineart-1.5-preview/text-to-image", {
  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

Text prompt describing the desired image

aspect_ratio AspectRatioEnum

Image aspect ratio: 1:1, 3:1, 1:3, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 Default value: "1:1"

Possible enum values: 1:1, 16:9, 9:16, 4:3, 3:4, 3:1, 1:3, 3:2, 2:3

seed integer

Seed for the image generation

{
  "prompt": "A high-angle, realistic photograph capturing a spontaneous moment of pure joy on a bright, sunny day. A young woman with long, wavy brown hair is sitting on the curb of an urban street, her head tilted all the way back as she laughs or shouts ecstatically up at the sky. She is wearing large black sunglasses, which have a bright glare from the sun, a white ribbed tank top with black trim, and black jeans. One of her hands is raised towards her face, fingers loosely curled near her sunglasses. The background is dominated by the strong graphic pattern of a black asphalt road with thick, white painted lines of a crosswalk. The lighting is harsh and direct, creating high contrast and deep shadows on the pavement, and brightly illuminating the woman's sun-kissed skin. The shot has a candid, in-the-moment feel, emphasizing the carefree and happy mood.",
  "aspect_ratio": "1:1",
  "seed": 0
}

Output#

images list<Image-Output>* required

Generated image

{
  "images": [
    {
      "height": 2048,
      "content_type": "image/webp",
      "url": "https://fal.media/files/tiger/ou4RvYdGLTWe2rMzHhrnE_generated_imagineart_1_5_2.webp",
      "width": 2048
    }
  ]
}

Other types#