Add LLM workflows, including image recognition (vision), to ComfyUI via Ollama
Currently, it assumes that an Ollama server is running at http://127.0.0.1:11434 and accessible by the ComfyUI backend.
Pulling models from the Ollama Model Libary with download progress bar:

Generating text descriptions of loaded images:

- Implement model pulling node
- Implement UI progress bar updates when pulling with
stream=True
- Implement UI progress bar updates when pulling with
- Impelement Huggingface Hub model downloader node
- Implement progress bar updates when download models
-
Implement model loading nodeTheyre loaded dynamically on generate, it's good to unload them from GPU to leave room for image generation models in the same workflow. - Implement generate node
- Impelment generate node with token streaming (I think it's just a UI limitation with ShowText class)
- Implement generate node with vision model (can take image batch as input!)
- Implement chat node (likely requires new frontent node development)
- Implement model converter node (saftetensor to GGUF)
- Implement quantization node
- Test compatability with SaltAI LLM tools (LlamaIndex)
The following node packs are similar and effort will be made to integrate seemlessly with them:
- https://github.com/daniel-lewis-ab/ComfyUI-Llama
- https://github.com/get-salt-AI/SaltAI_Language_Toolkit
- https://github.com/alisson-anjos/ComfyUI-Ollama-Describer
If you'd like to contribute, please open a Git Issue describing what you'd like to contribute. See ComfyOrg docs for instructions on getting started developing custom nodes.
- logger.py taken from https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite, GPL-3.0 license
- Ollama MIT license, based on llama.cpp MIT license
- huggingface_hub python library Apache-2.0 license
