ComfyUI Ollama

Custom ComfyUI Nodes for interacting with Ollama using the ollama python client.

Integrate the power of LLMs into ComfyUI workflows easily or just experiment with LLM inference.

To use this properly, you would need a running Ollama server reachable from the host that is running ComfyUI.

Installation

Install ollama server on the desired host

Download for macOS

Download for Windows

Install on Linux

curl -fsSL https://ollama.com/install.sh | sh

Docker Installation

CPU only

docker run -d -p 11434:11434 -v ollama:/root/.ollama --name ollama ollama/ollama

NVIDIA GPU

docker run -d -p 11434:11434 --gpus=all -v ollama:/root/.ollama --name ollama  ollama/ollama

Use the compfyui manager "Custom Node Manager":

Search ollama and select the one by stavsap

Or

1. git clone into the custom_nodes folder inside your ComfyUI installation or download as zip and unzip the contents to custom_nodes/compfyui-ollama.
2. pip install -r requirements.txt
3. Start/restart ComfyUI

Nodes

OllamaVision

A node that gives an ability to query input images.

A model name should be model with Vision abilities, for example: https://ollama.com/library/llava.

OllamaGenerate

A node that gives an ability to query an LLM via given prompt.

OllamaGenerateAdvance

A node that gives an ability to query an LLM via given prompt with fine tune parameters and an ability to preserve context for generate chaining.

Check ollama api docs to get info on the parameters.

More params info

Usage Example

Consider the following workflow of vision an image, and perform additional text processing with desired LLM. In the OllamaGenerate node set the prompt as input.

The custom Text Nodes in the examples can be found here: https://github.com/pythongosssss/ComfyUI-Custom-Scripts