Getting Started

API Token

If you don’t already have an account navigate to the app.prodia.com and click Sign Up.

Go to the API Dashboard to generate a token. You should see a token management screen similar to this:

Prodia API Dashboard v2 Token Management

If the token management interface isn’t showing up please check that you have an active Pro subscription.

Give the token a meaningful label like getting started and click Create API Key:

Prodia API Dashboard v2 Token Create API Key

Next copy the key to a safe location. We will use this key for the remainder of the tutorial.

Prodia API Dashboard v2 Token Copy API Key

Now that we have an API key were are ready to setup the project.

Project Setup

# Create a project directory.
mkdir prodia-getting-started
cd prodia-getting-started

Install Node (if not already installed):

brew install node
# Close the current terminal and open a new one so that node is available.

apt install node
# Close the current terminal and open a new one so that node is available.

winget install -e --id OpenJS.NodeJS.LTS
# Close the current terminal and open a new one so that node is available.

Create project skeleton:

# Requires node --version >= 18
# Initialize the project with npm.
npm init -y

# Install the prodia-js library.
npm install prodia --save

Install Python (if not already installed):

brew install python
# Close the current terminal and open a new one so that python is available.

apt install python3 python3-venv python-is-python3
# Close the current terminal and open a new one so that python is available.

winget install -e --id Python.Python.3.12
# Close the current terminal and open a new one so that python is available.

# Requires python --version >= 3.12
python -m venv venv
source venv/bin/activate
pip install requests

Install curl (if not already installed):

brew install curl
# Close the current terminal and open a new one so that curl is available.

apt install curl
# Close the current terminal and open a new one so that curl is available.

# NOTE: Windows 10 and up have curl installed by default and this can be
# skipped.
winget install -e --id cURL.cURL
# Close the current terminal and open a new one so that curl is available.

# Export your token so it can be used by the main code.
export PRODIA_TOKEN=your-token-here

Create a main file for your project:

const { createProdia } = require("prodia/v2");

const prodia = createProdia({
    token: process.env.PRODIA_TOKEN // get it from environment
});

Create the following main.py

from requests.adapters import HTTPAdapter, Retry
import os
import requests
import sys


prodia_token = os.getenv('PRODIA_TOKEN')
prodia_url = 'https://inference.prodia.com/v2/job'

session = requests.Session()
retries = Retry(allowed_methods=None, status_forcelist=Retry.RETRY_AFTER_STATUS_CODES)
session.mount('http://', HTTPAdapter(max_retries=retries))
session.mount('https://', HTTPAdapter(max_retries=retries))
session.headers.update({'Authorization': f"Bearer {prodia_token}"})

set -euo pipefail

You’re now ready to make some API calls!

Text to Image

Add the following to the main file:

const fs = require("node:fs/promises");
const { createProdia } = require("prodia/v2");

const prodia = createProdia({
    token: process.env.PRODIA_TOKEN // get it from environment
});

(async () => {
    // run a flux schnell generation
    const job = await prodia.job({
        type: "inference.flux-fast.schnell.txt2img.v2",
        config: {
            prompt: "puppies in a cloud, 4k",
        }
    });

    const image = await job.arrayBuffer();

    await fs.writeFile("puppies.jpg", new Uint8Array(image));
})();

from requests.adapters import HTTPAdapter, Retry
import os
import requests
import sys


prodia_token = os.getenv('PRODIA_TOKEN')
prodia_url = 'https://inference.prodia.com/v2/job'

session = requests.Session()
retries = Retry(allowed_methods=None, status_forcelist=Retry.RETRY_AFTER_STATUS_CODES)
session.mount('http://', HTTPAdapter(max_retries=retries))
session.headers.update({'Authorization': f"Bearer {prodia_token}"})

headers = {
    'Accept': 'image/png',
}

job = {
    'type': 'inference.flux-fast.schnell.txt2img.v2',
    'config': {
        'prompt': 'puppies in a cloud, 4k',
    },
}

res = session.post(prodia_url, headers=headers, json=job)
print(f"Request ID: {res.headers['x-request-id']}")
print(f"Status: {res.status_code}")

if res.status_code != 200:
    print(res.text)
    sys.exit(1)

with open('puppies.jpg', 'wb') as f:
    f.write(res.content)

set -euo pipefail

job=$(cat <<EOF
{
  "type": "inference.flux-fast.schnell.txt2img.v2",
  "config": {
    "prompt": "puppies in a cloud, 4k",
  }
}
EOF
)

curl -sSf \
  -H "Authorization: Bearer $PRODIA_TOKEN" \
  -H 'Accept: image/jpeg' \
  --json "$job" \
  --output puppies.jpg \
  --retry 3 \
  https://inference.prodia.com/v2/job

Run the main code:

node main.js

python main.py

bash main.sh

Open the output image puppies.jpg:

open puppies.jpg

xdg-open puppies.jpg

start puppies.jpg

And you’ll see some cute puppies like these:

Prodia API Dashboard v2 Token Management

Congratulations on finishing your first project using Prodia!