Prediction

Model

lucataco/ugc-ad

8zbb4qta9nrmc0cspwhrf2n3vg

Status

Succeeded

Source

Web

Hardware

CPU (Small)

Total duration

3m 21s

Created

about 2 months ago

Webhook

–

Input

input_image: https://replicate.delivery/pbxt/NpoF8KbK5UfbfGDtdhHMfQCw1lgYKBojYPo11ADotgGG0n7Q/replicate-prediction-dy0fjgcpqxrme0cspwf82pgpk4.webp
user_description: a 21 year old male model talks about the importance of smelling good

{
  "input_image": "https://replicate.delivery/pbxt/NpoF8KbK5UfbfGDtdhHMfQCw1lgYKBojYPo11ADotgGG0n7Q/replicate-prediction-dy0fjgcpqxrme0cspwf82pgpk4.webp",
  "user_description": "a 21 year old male model talks about the importance of smelling good"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_RWt**********************************

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 lucataco/ugc-ad using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  input_image: "https://replicate.delivery/pbxt/NpoF8KbK5UfbfGDtdhHMfQCw1lgYKBojYPo11ADotgGG0n7Q/replicate-prediction-dy0fjgcpqxrme0cspwf82pgpk4.webp",
  user_description: "a 21 year old male model talks about the importance of smelling good"
};

const output = await replicate.run("lucataco/ugc-ad", { input });

// 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_RWt**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run lucataco/ugc-ad using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ugc-ad",
    input={
        "input_image": "https://replicate.delivery/pbxt/NpoF8KbK5UfbfGDtdhHMfQCw1lgYKBojYPo11ADotgGG0n7Q/replicate-prediction-dy0fjgcpqxrme0cspwf82pgpk4.webp",
        "user_description": "a 21 year old male model talks about the importance of smelling good"
    }
)

# 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_RWt**********************************

This is your API token. Keep it to yourself.

Run lucataco/ugc-ad 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 $'{
    "input": {
      "input_image": "https://replicate.delivery/pbxt/NpoF8KbK5UfbfGDtdhHMfQCw1lgYKBojYPo11ADotgGG0n7Q/replicate-prediction-dy0fjgcpqxrme0cspwf82pgpk4.webp",
      "user_description": "a 21 year old male model talks about the importance of smelling good"
    }
  }' \
  https://api.replicate.com/v1/models/lucataco/ugc-ad/predictions

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

Output

Generated in

3 minutes 20 seconds

Tweak it Report