GeminiOllama ComfyUI Extension

This extension integrates Google's Gemini API and Ollama into ComfyUI, allowing users to leverage these powerful language models directly within their ComfyUI workflows.

Features

• Support for both Gemini and Ollama APIs
• Text and image input capabilities
• Streaming option for real-time responses
• Easy integration with ComfyUI workflows

Installation

1. Clone this repository into your ComfyUI's custom_nodes directory:

   cd /path/to/ComfyUI/custom_nodes
   git clone https://github.com/yourusername/GeminiOllama.git

2. Install the required dependencies:

   pip install google-generativeai requests vtracer

Configuration

Gemini API Key Setup

1. Go to the Google AI Studio.
2. Create a new API key or use an existing one.
3. Copy the API key.
4. Create a config.json file in the extension directory with the following content:

   {
    "GEMINI_API_KEY": "your_api_key_here"
   }

Ollama Setup

1. Install Ollama by following the instructions on the Ollama GitHub page.
2. Start the Ollama server (usually runs on http://localhost:11434).
3. Add the Ollama URL to your config.json:

   {
    "GEMINI_API_KEY": "your_api_key_here",
    "OLLAMA_URL": "http://localhost:11434"
   }

Usage

After installation and configuration, a new node called "Gemini Ollama API" will be available in ComfyUI.

Input Parameters

• api_choice: Choose between "Gemini" and "Ollama"
• prompt: The text prompt for the AI model
• gemini_model: Select the Gemini model (for Gemini API)
• ollama_model: Specify the Ollama model (for Ollama API)
• stream: Enable/disable streaming responses
• image (optional): Input image for vision-based tasks

Output

• text: The generated response from the chosen AI model

Main Functions

1. get_gemini_api_key(): Retrieves the Gemini API key from the config file.
2. get_ollama_url(): Gets the Ollama URL from the config file.
3. generate_content(): Main function to generate content based on the chosen API and parameters.
4. generate_gemini_content(): Handles content generation for Gemini API.
5. generate_ollama_content(): Manages content generation for Ollama API.
6. tensor_to_image(): Converts a tensor to a PIL Image for vision-based tasks.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.