montyanderson/controlnet:33fa5ab8 | Run with an API on Replicate

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montyanderson /controlnet:33fa5ab8

Playground API

Input

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

npx create-replicate --model=montyanderson/controlnet

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 montyanderson/controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "montyanderson/controlnet:33fa5ab84dfbeeec72fe0f391491abd4c4bef13fbd8b3d652868fdc965d526c5",
  {
    input: {
      controlnet_model: "control_v11p_sd15_canny [d14c016b]",
      controlnet_module: "canny"
    }
  }
);

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

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

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 montyanderson/controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "montyanderson/controlnet:33fa5ab84dfbeeec72fe0f391491abd4c4bef13fbd8b3d652868fdc965d526c5",
    input={
        "controlnet_model": "control_v11p_sd15_canny [d14c016b]",
        "controlnet_module": "canny"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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 montyanderson/controlnet 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": "montyanderson/controlnet:33fa5ab84dfbeeec72fe0f391491abd4c4bef13fbd8b3d652868fdc965d526c5",
    "input": {
      "controlnet_model": "control_v11p_sd15_canny [d14c016b]",
      "controlnet_module": "canny"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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