ComfyUI-BasicOllama

ComfyUI-BasicOllama

A simplified node that provides access to Ollama. It allows you to send prompts and images to your Ollama instance and receive text-based responses with support for reasoning/thinking and system prompts.

⚠️ Requirements

You must have Ollama installed and running on your local machine for this node to function. You can download it from https://ollama.com/.

🚀 Features

• Zero Startup Impact: This node loads asynchronously and will not slow down your ComfyUI browser loading time.
• Direct Ollama Integration: Seamlessly connect to your local Ollama instance.
• Automatic Image Detection: The node automatically detects if an image is connected and sends it to Ollama for multimodal analysis.
• Reasoning Support: Toggle "think" mode to capture reasoning traces.
• System Prompt Support: Utilize the system parameter in the Ollama API for more control over model behavior.
• Dynamic Prompt Templates: Easily load your own system prompts from .txt files in the prompts directory.
• Dynamic Image Inputs: Start with one image input, and automatically add more as you connect them.
• Easy Configuration: Quickly set up your Ollama URL via a config.json file.

📦 Installation

1. Clone the Repository: Navigate to your ComfyUI/custom_nodes directory and clone this repository:  

    git clone https://github.com/BobRandomNumber/ComfyUI-BasicOllama.git

2. Restart your ComfyUI instance to load the new custom node.

✨ Usage

The BasicOllama node can be found under the Ollama category in the ComfyUI menu. Connect optional image/s to the image inputs to have it automatically included in your prompt if desired.

Inputs

| Name | Type | Description | | ---------------------- | --------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | prompt | STRING | The main text prompt to send to the Ollama model. | | ollama_model | COMBO | Asynchronously populated list of available Ollama models. Use the Refresh button to update the list from your Ollama instance. | | generation_seed | INT | Seed for randomness. Includes control for incrementing or fixing the seed after generation. | | enable_think | BOOLEAN | If enabled, requests and captures the reasoning/thinking trace for supported models. | | saved_sys_prompt | COMBO | A dropdown list of saved system prompts from the .txt files in the prompts directory. | | use_sys_prompt_below | BOOLEAN | If checked (True), the system_prompt text box below will be used instead of the dropdown selection. | | system_prompt | STRING | A multiline text box for a custom, one-off system prompt. | | image | IMAGE | Optional image inputs for multimodal models. Connecting an image automatically creates a new input slot. |

Outputs

| Name | Type | Description | | ---------- | -------- | --------------------------------------------------------------------------- | | text | STRING | The main text-based response from the Ollama model. | | thinking | STRING | The reasoning trace generated by the model (if enable_think is active). |

✍️ Adding Custom System Prompts

You can easily add your own reusable system prompts to the saved_sys_prompt dropdown menu.

1. Navigate to the ComfyUI-BasicOllama/prompts directory.
2. Create a new text file (e.g., my_prompt.txt).
3. Write your system prompt inside this file.
4. Save the file and refresh your ComfyUI browser window.

The name of your file (without the .txt extension) will now appear as an option in the saved_sys_prompt dropdown.

⚙️ Configuration

By default, the BasicOllama node will attempt to connect to your Ollama instance at http://localhost:11434.

If your Ollama instance is running on a different URL/port, you can change it by editing the config.json file located in the ComfyUI-BasicOllama directory:

{
  "OLLAMA_URL": "http://your-ollama-url:11434"
}

🙏 Attribution

A special thank you to @al-swaiti for creating the original ComfyUI-OllamaGemini whose Ollama node served as the foundation and inspiration for this. This project is licensed under the MIT License.