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ComfyDeploy: How ComfyUI Ollama works in ComfyUI?

What is ComfyUI Ollama?

Custom ComfyUI Nodes for interacting with [a/Ollama](https://ollama.com/) using the [a/ollama python client](https://github.com/ollama/ollama-python). Integrate the power of LLMs into CompfyUI workflows easily.

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for ComfyUI Ollama and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

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.

<a href="https://www.buymeacoffee.com/stavsapq" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy Me A Coffee" height="40" width="174"></a>

Installation

Install ollama server on the desired host

<a href="https://ollama.com/" target="_blank"> <img src="https://img.shields.io/badge/v0.4.5-green.svg?style=for-the-badge&labelColor=gray&label=Ollama&color=blue" alt=""/> </a>

<a href="https://ollama.com/download/Ollama-darwin.zip" target="_blank">Download for macOS</a>

<a href="https://ollama.com/download/OllamaSetup.exe" target="_blank">Download for Windows</a>

Install on Linux

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

<a href="https://hub.docker.com/r/ollama/ollama" target="_blank">Docker Installation</a>

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":

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Search ollama and select the one by stavsap

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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

V2 Release

Release of additional V2 Nodes, for more modular and controllable chained flows.

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OllamaGenerateV2

A node that provides ability to set the system prompt and the prompt.

Ability to save context locally in the node enable/disable

Inputs:

  • OllamaConnectivityV2 (optional)
  • OllamaOptionsV2 (optional)
  • images (optional)
  • context (optional), a context from other OllamaConnectivityV2
  • meta (optional), passing metadata of the OllamaConnectivityV2 and OllamaOptionsV2 from other OllamaGenerateV2 node.

Notes:

  • For this node to be operational, OllamaConnectivityV2 or meta must be inputted!.
  • If images are inputted and a chain of meta usage is made, all the images need to be passed as well to the next OllamaConnectivityV2 nodes.

OllamaConnectivityV2

A node responsible only fot the connectivity to the ollama server

OllamaOptionsV2

A node for full control of the ollama api options.

For an option to take effect, each option have also enable/disable, enabled options are passed to api call to ollama server.

Ollama API options can be found in this table.

Note: There is an additional option debug that enables debug print in the cli, its not part of ollama api.

V1 Release

OllamaVision

A node that gives an ability to query input images.

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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.

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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

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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.

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