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Glm Image Image to Image

fal-ai/glm-image/image-to-image
Create high-quality images with accurate text rendering and rich knowledge details—supports editing, style transfer, and maintaining consistent characters across multiple images.
Inference
Commercial use
Schema
LLMs
PlaygroundAPI

About

Generate Image 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/glm-image/image-to-image", {
  input: {
    prompt: "Make the dress red.",
    image_urls: "https://storage.googleapis.com/falserverless/example_inputs/catwalk.png"
  },
  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/glm-image/image-to-image", {
  input: {
    prompt: "Make the dress red.",
    image_urls: "https://storage.googleapis.com/falserverless/example_inputs/catwalk.png"
  },
  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/glm-image/image-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("fal-ai/glm-image/image-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 for image generation.

image_size ImageSize | Enum

Output image size. Default value: square_hd

Possible enum values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9, portrait_3_2, landscape_3_2, portrait_hd, landscape_hd

Note: For custom image sizes, you can pass the width and height as an object:

"image_size": {
  "width": 1280,
  "height": 720
}
num_inference_steps integer

Number of diffusion denoising steps. More steps generally produce higher quality images. Default value: 30

guidance_scale float

Classifier-free guidance scale. Higher values make the model follow the prompt more closely. Default value: 1.5

seed integer

Random seed for reproducibility. The same seed with the same prompt will produce the same image.

num_images integer

Number of images to generate. Default value: 1

enable_safety_checker boolean

Enable NSFW safety checking on the generated images. Default value: true

output_format OutputFormatEnum

Output image format. Default value: "jpeg"

Possible enum values: jpeg, png

sync_mode boolean

If True, the image will be returned as a base64 data URI instead of a URL.

enable_prompt_expansion boolean

If True, the prompt will be enhanced using an LLM for more detailed and higher quality results.

image_urls list<string>* required

URL(s) of the condition image(s) for image-to-image generation. Supports up to 4 URLs for multi-image references.

{
  "prompt": "Make the dress red.",
  "image_size": "square_hd",
  "num_inference_steps": 30,
  "guidance_scale": 1.5,
  "num_images": 1,
  "enable_safety_checker": true,
  "output_format": "jpeg",
  "image_urls": "https://storage.googleapis.com/falserverless/example_inputs/catwalk.png"
}

Output#

images list<Image>* required

List of URLs to 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": [
    {
      "height": 1536,
      "content_type": "image/png",
      "url": "https://storage.googleapis.com/falserverless/example_outputs/catwalk_red.png",
      "width": 1024
    }
  ],
  "prompt": ""
}

Other types#

ImageSize#

width integer

The width of the generated image. Default value: 512

height integer

The height of the generated image. Default value: 512

Image#

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

Default value: "image/jpeg"

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