fal Assets is now live!
Docs
Log-inSign-up

fal-ai/sensenova-u1-infographic

Generate Infographic Image with Sensenova U1
Inference
Commercial use
Schema
LLMs
PlaygroundAPIExamples

Table of contents

About

Text To Image

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/sensenova-u1-infographic", {
  input: {
    prompt: "A flat-design infographic titled 'The Lifecycle of a Tree' with five labeled stages laid out left-to-right (seed, sapling, young tree, mature tree, decomposition), soft pastel green-and-brown palette, minimal sans-serif headings, hand-drawn vector illustrations, white background, subtle drop-shadow on cards."
  },
  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/sensenova-u1-infographic", {
  input: {
    prompt: "A flat-design infographic titled 'The Lifecycle of a Tree' with five labeled stages laid out left-to-right (seed, sapling, young tree, mature tree, decomposition), soft pastel green-and-brown palette, minimal sans-serif headings, hand-drawn vector illustrations, white background, subtle drop-shadow on cards."
  },
  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/sensenova-u1-infographic", {
  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/sensenova-u1-infographic", {
  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 infographic to generate. Detailed prompts that specify layout, sections, color palette, typography, and the data being visualized work best.

aspect_ratio AspectRatioEnum

Aspect ratio for the generated image. Maps to the trained resolution buckets — using ratios outside this set is not supported. Defaults to 16:9, which fits most poster / presentation-style infographics. Default value: "16:9"

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

num_inference_steps integer

Number of flow-matching denoising steps. Default value: 50

guidance_scale float

Classifier-free guidance scale. Higher values follow the prompt more strictly. Default value: 4

timestep_shift float

Timestep shifting factor for the flow-matching sampler. Higher values bias sampling towards earlier timesteps. Default value: 3

use_thinking boolean

If True, run chain-of-thought before image generation. Improves complex-prompt fidelity but is slower and billed at 1.2x.

seed integer

The same seed and the same prompt given to the same version of the model will output the same image every time.

enable_safety_checker boolean

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

output_format OutputFormatEnum

The format of the generated image. Default value: "jpeg"

Possible enum values: jpeg, png

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

{
  "prompt": "A flat-design infographic titled 'The Lifecycle of a Tree' with five labeled stages laid out left-to-right (seed, sapling, young tree, mature tree, decomposition), soft pastel green-and-brown palette, minimal sans-serif headings, hand-drawn vector illustrations, white background, subtle drop-shadow on cards.",
  "aspect_ratio": "16:9",
  "num_inference_steps": 50,
  "guidance_scale": 4,
  "timestep_shift": 3,
  "enable_safety_checker": true,
  "output_format": "jpeg"
}

Output#

images list<Image>* required

The generated image(s).

seed integer* required

The seed used for the generation.

has_nsfw_concepts list<boolean>* required

Whether the generated images contain NSFW concepts.

prompt string* required

The prompt used for the generation.

thinking string

Chain-of-thought trace emitted when use_thinking is True, else null.

timings Timings* required

Per-stage timings in seconds.

{
  "images": [
    {
      "url": "",
      "content_type": "image/jpeg"
    }
  ],
  "prompt": ""
}

Other types#

Image#

url string* required
width integer* required
height integer* required
content_type string

Default value: "image/jpeg"

Sensenova U1 Infographic Text to Image API Docs | fal