Prediction

Model

erbridge/mascot-me

fs1dgxk1nxrma0crnsgsgfjfpg

Status

Succeeded

Source

Web

Hardware

CPU (Small)

Total duration

21.9s

Created

4 months ago

Webhook

–

Input

input_image: https://replicate.delivery/pbxt/NXYpYeQ6zFug5h1WAZDhhG5V1APKi6jVSrK6T8FW5sfKLgFx/image.png
mascot_style: sports team mascot
team_colors: green and gold
mascot_name: hoss
seed: 1

{
  "input_image": "https://replicate.delivery/pbxt/NXYpYeQ6zFug5h1WAZDhhG5V1APKi6jVSrK6T8FW5sfKLgFx/image.png",
  "mascot_name": "hoss",
  "mascot_style": "sports team mascot",
  "seed": 1,
  "team_colors": "green and gold"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_5Gm**********************************

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 erbridge/mascot-me 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/NXYpYeQ6zFug5h1WAZDhhG5V1APKi6jVSrK6T8FW5sfKLgFx/image.png",
  mascot_name: "hoss",
  mascot_style: "sports team mascot",
  seed: 1,
  team_colors: "green and gold"
};

const output = await replicate.run("erbridge/mascot-me", { 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_5Gm**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run erbridge/mascot-me using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "erbridge/mascot-me",
    input={
        "input_image": "https://replicate.delivery/pbxt/NXYpYeQ6zFug5h1WAZDhhG5V1APKi6jVSrK6T8FW5sfKLgFx/image.png",
        "mascot_name": "hoss",
        "mascot_style": "sports team mascot",
        "seed": 1,
        "team_colors": "green and gold"
    }
)

# 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_5Gm**********************************

This is your API token. Keep it to yourself.

Run erbridge/mascot-me 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/NXYpYeQ6zFug5h1WAZDhhG5V1APKi6jVSrK6T8FW5sfKLgFx/image.png",
      "mascot_name": "hoss",
      "mascot_style": "sports team mascot",
      "seed": 1,
      "team_colors": "green and gold"
    }
  }' \
  https://api.replicate.com/v1/models/erbridge/mascot-me/predictions

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

Output

Generated in

21.4 seconds

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