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image-generation

This CLI tool is a simple command-line interface for interacting with the OpenAI API. It was specifically created as a tool that GPTScript can leverage in order to provide the langauge with image generation capabilities. It allows users to input a text prompt and get a response generated by OpenAI's GPT models. Users can provide the API key directly as a command-line argument or set it through the credential tool.

Features

  • Accepts an OpenAI API key through the command line or environment variable.
  • Accepts a text prompt for image generation and displays the resulting images.
  • Supports image generation using a specified model, image size, quality, and the number of images to generate.

Prerequisites

  • Python 3.x
  • OpenAI API key

How to Build

This CLI tool does not require a build step, as it is a simple Python script. The only requirement is to install the necessary Python dependencies.

Installation

  1. Clone this repository or download the source code:

    git clone https://github.com/your-username/your-repo.git
    cd your-repo
  2. Install the required Python packages:

    pip install -r requirements.txt

Usage

You can run this CLI tool using the following command format:

python cli.py --api-key YOUR_API_KEY --prompt "Your text prompt here" --model MODEL_NAME --size IMAGE_SIZE --quality IMAGE_QUALITY --number NUMBER_OF_IMAGES

CLI Arguments

Argument Short Command Description Example
API Key -k / --api-key Optional: Your OpenAI API key. Can also be set with OPENAI_API_KEY environment variable. Command-line option takes precedence. --api-key YOUR_API_KEY
Prompt -p / --prompt Required: The text prompt for image generation. --prompt "Your text prompt here"
Model -m / --model Optional: The model to use for image generation. Default is "dall-e-3". --model MODEL_NAME
Size -s / --size Optional: The size of the image to generate, in the format WxH (e.g., 1024x1024). Default is 1024x1024. --size IMAGE_SIZE
Quality -q / --quality Optional: The quality of the generated image. Allowed values are "standard" or "hd". Default is "standard". --quality IMAGE_QUALITY
Number -n / --number Optional: The number of images to generate. Default is 1. --number NUMBER

Authentication

An OpenAI API key is needed in order to authenticate. When running the tool with GPTScript, the credential tool will prompt you to provide a key if you have not done so already. When running the Python program directly, you can provide it as a command-line argument or set it as an environment variable.

Setting the API Key as an Environment Variable

On Unix-like systems, you can set the environment variable like this:

export OPENAI_API_KEY="your-api-key-here"

On Windows, you can set the environment variable like this:

set OPENAI_API_KEY=your-api-key-here

After setting the environment variable, you only need to provide the prompt argument when running the tool:

python cli.py --prompt "Describe a futuristic city."

Examples

Tool Usage

This repository is made to integrate nicely with GPTScript. Accordingly, a tool.gpt file is provided that allows other GPTScripts to usage this tool. The following is an example of how to use this tool in a GPTScript where it assumes that the tool is located in the parent directory of the GPTScript file:

tools: ./tool.gpt

You are an expert in image generation. Please generate a cartoon lion standing proudly in the savannah.

You can find this specific example in the examples file.

Images

Cartoon lion standing proudly in the savannah

python cli.py --prompt "Cartoon lion standing proudly in the savannah" --quality "standard"

Cartoon lion

A realistic photograph of a squirrel writing some code in a peaceful meadow

python cli.py --prompt "A realistic photograph of a squirrel writing some code in a peaceful meadow" --quality "hd"

Squirrel developer

The eiffel tower rendered photorealistically at night with a swirling sky as the background

python cli.py --prompt "The eiffel tower rendered photorealistically at night with a swirling sky as the background" --quality "hd"

Eiffel tower

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  • Python 92.6%
  • Makefile 7.4%