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Bagel Text to Image

fal-ai/bagel
Bagel is a 7B parameter from Bytedance-Seed multimodal model that can generate both text and images.
Inference
Commercial use
PlaygroundAPI

About

Run

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/bagel", {
  input: {
    prompt: "A luminous ancient temple floating among cosmic clouds, with impossible architecture of twisted spires and inverted arches. The structure is half-built from crystalline white marble and half from living bioluminescent coral in vibrant teal and purple. Ethereal light filters through stained glass windows depicting mythological scenes. Tiny cloaked figures with glowing lanterns traverse impossible staircases. In the foreground, a massive ornate door stands slightly ajar, revealing a glimpse of swirling golden energy within. The scene is lit by two moons of different colors, casting overlapping shadows. Cinematic lighting, hyper-detailed textures, 8K resolution."
  },
  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/bagel", {
  input: {
    prompt: "A luminous ancient temple floating among cosmic clouds, with impossible architecture of twisted spires and inverted arches. The structure is half-built from crystalline white marble and half from living bioluminescent coral in vibrant teal and purple. Ethereal light filters through stained glass windows depicting mythological scenes. Tiny cloaked figures with glowing lanterns traverse impossible staircases. In the foreground, a massive ornate door stands slightly ajar, revealing a glimpse of swirling golden energy within. The scene is lit by two moons of different colors, casting overlapping shadows. Cinematic lighting, hyper-detailed textures, 8K resolution."
  },
  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/bagel", {
  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/bagel", {
  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

The prompt to generate an image from.

seed integer

The seed to use for the generation.

use_thought boolean

Whether to use thought tokens for generation. If set to true, the model will "think" to potentially improve generation quality. Increases generation time and increases the cost by 20%.

enable_safety_checker boolean

If set to true, the safety checker will be enabled. Default value: true

{
  "prompt": "A luminous ancient temple floating among cosmic clouds, with impossible architecture of twisted spires and inverted arches. The structure is half-built from crystalline white marble and half from living bioluminescent coral in vibrant teal and purple. Ethereal light filters through stained glass windows depicting mythological scenes. Tiny cloaked figures with glowing lanterns traverse impossible staircases. In the foreground, a massive ornate door stands slightly ajar, revealing a glimpse of swirling golden energy within. The scene is lit by two moons of different colors, casting overlapping shadows. Cinematic lighting, hyper-detailed textures, 8K resolution.",
  "enable_safety_checker": true
}

Output#

images list<Image>* required

The generated images.

timings Timings* required
seed integer* required

Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed.

has_nsfw_concepts list<boolean>* required

Whether the generated images contain NSFW concepts.

prompt string* required

The prompt used for generating the image.

{
  "images": [
    {
      "file_size": 423052,
      "height": 1024,
      "file_name": "wRhCPSyiKTiLnnWvUpGIl.jpeg",
      "content_type": "image/jpeg",
      "url": "https://storage.googleapis.com/falserverless/bagel/wRhCPSyiKTiLnnWvUpGIl.jpeg",
      "width": 1024
    }
  ],
  "prompt": ""
}

Other types#

Image#

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.

file_data string

File data

width integer

The width of the image in pixels.

height integer

The height of the image in pixels.

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