Prediction

Model

mikelyndon/controlnet-annotators:2a07e5f1

ofcbnpeigzhqdd5v77ft3bbpbu

Status

Succeeded

Source

Web

Hardware

Total duration

68.7s

Created

over 2 years ago

Webhook

–

Input

image: https://replicate.delivery/pbxt/IpqgnP7Yp2FjjGR58XVf7MQlpb0yM0F4HBikRGq5rhxowgcS/pose2.png
type: openpose

{
  "image": "https://replicate.delivery/pbxt/IpqgnP7Yp2FjjGR58XVf7MQlpb0yM0F4HBikRGq5rhxowgcS/pose2.png",
  "type": "openpose"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_bis**********************************

This is your API token. Keep it to yourself.

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

const output = await replicate.run(
  "mikelyndon/controlnet-annotators:2a07e5f142c94ea238549300935f767a911b587167aa4786f885745ebbb2ad1a",
  {
    input: {
      image: "https://replicate.delivery/pbxt/IpqgnP7Yp2FjjGR58XVf7MQlpb0yM0F4HBikRGq5rhxowgcS/pose2.png",
      type: "openpose"
    }
  }
);

// 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=r8_bis**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "mikelyndon/controlnet-annotators:2a07e5f142c94ea238549300935f767a911b587167aa4786f885745ebbb2ad1a",
    input={
        "image": "https://replicate.delivery/pbxt/IpqgnP7Yp2FjjGR58XVf7MQlpb0yM0F4HBikRGq5rhxowgcS/pose2.png",
        "type": "openpose"
    }
)

# 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=r8_bis**********************************

This is your API token. Keep it to yourself.

Run mikelyndon/controlnet-annotators 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": "mikelyndon/controlnet-annotators:2a07e5f142c94ea238549300935f767a911b587167aa4786f885745ebbb2ad1a",
    "input": {
      "image": "https://replicate.delivery/pbxt/IpqgnP7Yp2FjjGR58XVf7MQlpb0yM0F4HBikRGq5rhxowgcS/pose2.png",
      "type": "openpose"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

7.9 seconds

Tweak it Report