emaph/outpaint-controlnet-union:377564d3 – Run with an API on Replicate

Version

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emaph /outpaint-controlnet-union:377564d3

Playground API

Input

prompt

string

Shift + Return to add a new line

Default: ""

negative_prompt

string

Shift + Return to add a new line

Things you do not want to see in your image

Default: "ugly"

image

file

The image to expand

left

integer

Outpaint left

Default: 150

right

integer

Outpaint right

Default: 150

top

integer

Outpaint top

Default: 150

bottom

integer

Outpaint bottom

Default: 150

steps

integer

(minimum: 1, maximum: 50)

Number of inference steps

Default: 20

cfg

number

(minimum: 0, maximum: 20)

Guidance scale

Default: 4

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.

Default: 80

seed

integer

Set a seed for reproducibility. Random by default.

Run this model in Node.js with one line of code:

npx create-replicate --model=emaph/outpaint-controlnet-union

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run emaph/outpaint-controlnet-union using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "emaph/outpaint-controlnet-union:377564d35153c66f8629d9540480813685d114f0552e9a3c9ffe5dd315091e68",
  {
    input: {
      cfg: 4,
      top: 150,
      left: 150,
      right: 150,
      steps: 20,
      bottom: 150,
      prompt: "",
      output_format: "webp",
      output_quality: 80,
      negative_prompt: "ugly"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run emaph/outpaint-controlnet-union using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "emaph/outpaint-controlnet-union:377564d35153c66f8629d9540480813685d114f0552e9a3c9ffe5dd315091e68",
    input={
        "cfg": 4,
        "top": 150,
        "left": 150,
        "right": 150,
        "steps": 20,
        "bottom": 150,
        "prompt": "",
        "output_format": "webp",
        "output_quality": 80,
        "negative_prompt": "ugly"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run emaph/outpaint-controlnet-union using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "emaph/outpaint-controlnet-union:377564d35153c66f8629d9540480813685d114f0552e9a3c9ffe5dd315091e68",
    "input": {
      "cfg": 4,
      "top": 150,
      "left": 150,
      "right": 150,
      "steps": 20,
      "bottom": 150,
      "prompt": "",
      "output_format": "webp",
      "output_quality": 80,
      "negative_prompt": "ugly"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

No output yet! Press "Submit" to start a prediction.