Imageutils API

Rembg
Depth
Marigold Depth

Endpoint: POST https://fal.run/fal-ai/imageutils/rembg Endpoint ID: fal-ai/imageutils/rembg

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/imageutils/rembg",
    arguments={
        "image_url": "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

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

const result = await fal.subscribe("fal-ai/imageutils/rembg", {
  input: {
      image_url: "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg"
    },
  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);

curl --request POST \
  --url https://fal.run/fal-ai/imageutils/rembg \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "image_url": "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg"
}'

Input Schema

string

required

Input image url.

boolean

default:"false"

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

boolean

default:"false"

If set to true, the resulting image be cropped to a bounding box around the subject

Output Schema

Image

required

Background removed image.

Input Example

{
  "image_url": "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg",
  "sync_mode": false,
  "crop_to_bbox": false
}

Output Example

{
  "image": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019,
    "width": 1024,
    "height": 1024
  }
}

Endpoint: POST https://fal.run/fal-ai/imageutils/depth Endpoint ID: fal-ai/imageutils/depth

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/imageutils/depth",
    arguments={
        "image_url": "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

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

const result = await fal.subscribe("fal-ai/imageutils/depth", {
  input: {
      image_url: "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg"
    },
  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);

curl --request POST \
  --url https://fal.run/fal-ai/imageutils/depth \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "image_url": "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg"
}'

Input Schema

string

required

Input image url.

float

default:"6.283185307179586"

a Default value: 6.283185307179586

float

default:"0.1"

bg_th Default value: 0.1

boolean

default:"false"

depth_and_normal

Output Schema

Image

required

The depth map.

Input Example

{
  "image_url": "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg",
  "a": 6.283185307179586,
  "bg_th": 0.1,
  "depth_and_normal": false
}

Output Example

{
  "image": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019,
    "width": 1024,
    "height": 1024
  }
}

Endpoint: POST https://fal.run/fal-ai/imageutils/marigold-depth Endpoint ID: fal-ai/imageutils/marigold-depth

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/imageutils/marigold-depth",
    arguments={
        "image_url": "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

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

const result = await fal.subscribe("fal-ai/imageutils/marigold-depth", {
  input: {
      image_url: "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg"
    },
  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);

curl --request POST \
  --url https://fal.run/fal-ai/imageutils/marigold-depth \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "image_url": "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg"
}'

Examples

Example output from Marigold Depth Estimation

Input Schema

string

required

Input image url.

integer

default:"10"

Number of denoising steps. Defaults to 10. The higher the number, the more accurate the result, but the slower the inference. Default value: 10Range: 2 to 50

integer

default:"10"

Number of predictions to average over. Defaults to 10. The higher the number, the more accurate the result, but the slower the inference. Default value: 10Range: 2 to 50

integer

default:"0"

Maximum processing resolution. Defaults 0 which means it uses the size of the input image.Range: 0 to 2048

Output Schema

Image

required

The depth map.

Input Example

{
  "image_url": "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg",
  "num_inference_steps": 10,
  "ensemble_size": 10,
  "processing_res": 0
}

Output Example

{
  "image": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019,
    "width": 1024,
    "height": 1024
  }
}

Limitations

num_inference_steps range: 2 to 50
ensemble_size range: 2 to 50
processing_res range: 0 to 2048

Video Generation

Image Generation

Audio

Vision

3D

Imageutils API

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Try it in the Playground

Quick Start

Examples

Input Schema

Output Schema

Input Example

Output Example

Limitations

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Examples

​Input Schema

​Output Schema

​Input Example

​Output Example

​Limitations

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Examples

Input Schema

Output Schema

Input Example

Output Example

Limitations