ComfyUI_ComfyGroq

ComfyUI_ComfyGroq

A streamlined ComfyUI custom node package for interacting with GROQ's AI models, including both text and vision capabilities.

Features

• GROQ LLM Node: Generate text using GROQ's language models
• GROQ Vision Node: Analyze images with GROQ's vision-language models
• API Key Management: Set API key per-node or via environment variable
• Simple Interface: Easy-to-use nodes with sensible defaults

Installation

1. Clone or download this repository into your ComfyUI custom_nodes directory:

   cd ComfyUI/custom_nodes
   git clone https://github.com/yourusername/ComfyUI_ComfyGroq.git
   

2. Install the required dependencies:

   pip install groq
   

Usage

Setting Up Your API Key

You can provide your GROQ API key in one of two ways:

1. Per-node: Enter your API key directly in the node's input field
2. Environment Variable: Set GROQ_API_KEY in your environment variables

Available Nodes

GROQ LLM

Generates text using GROQ's language models.

Inputs:

• api_key: Your GROQ API key (or leave empty to use environment variable)
• model: The language model to use
• prompt: Your input prompt
• system_message: System message to guide the model's behavior
• temperature: Controls randomness (0.0 to 2.0)
• max_tokens: Maximum number of tokens to generate
• top_p: Nucleus sampling parameter
• seed: Random seed for reproducibility

GROQ Vision

Analyzes images using GROQ's vision-language models.

Inputs:

• api_key: Your GROQ API key (or leave empty to use environment variable)
• model: The vision model to use
• image: Input image to analyze
• prompt: Your question or instruction about the image
• temperature: Controls randomness (0.0 to 2.0)
• max_tokens: Maximum number of tokens to generate

Examples

Text Generation

1. Add a "GROQ LLM" node to your workflow
2. Enter your API key or set the GROQ_API_KEY environment variable
3. Type your prompt and adjust parameters as needed
4. Run the workflow to generate text

Image Analysis

1. Add an image loader node and a "GROQ Vision" node
2. Connect the image to the Vision node
3. Enter your question about the image
4. Run the workflow to get the model's analysis

License

This project is licensed under the MIT License.