├── .gitignore ├── requirements.txt ├── .images └── oin.png ├── models ├── Summary.py ├── __pycache__ │ ├── User.cpython-310.pyc │ ├── art.cpython-310.pyc │ ├── Summary.cpython-310.pyc │ ├── Users.cpython-310.pyc │ └── Character.cpython-310.pyc ├── Art.py ├── Character.py └── Users.py ├── __pycache__ ├── __init__.cpython-310.pyc └── InstructorOllama.cpython-310.pyc ├── __init__.py ├── pyproject.toml ├── README.md ├── web └── js │ └── OllamaInstructorNode.js ├── InstructorOllama.py └── LICENSE /.gitignore: -------------------------------------------------------------------------------- 1 | venv 2 | .idea 3 | saved_context -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | ollama 2 | instructor 3 | pydantic 4 | openai -------------------------------------------------------------------------------- /.images/oin.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ThisModernDay/ComfyUI-InstructorOllama/HEAD/.images/oin.png -------------------------------------------------------------------------------- /models/Summary.py: -------------------------------------------------------------------------------- 1 | from pydantic import BaseModel, Field 2 | 3 | class Summary(BaseModel): 4 | title: str 5 | summary: str -------------------------------------------------------------------------------- /__pycache__/__init__.cpython-310.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ThisModernDay/ComfyUI-InstructorOllama/HEAD/__pycache__/__init__.cpython-310.pyc -------------------------------------------------------------------------------- /models/__pycache__/User.cpython-310.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ThisModernDay/ComfyUI-InstructorOllama/HEAD/models/__pycache__/User.cpython-310.pyc -------------------------------------------------------------------------------- /models/__pycache__/art.cpython-310.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ThisModernDay/ComfyUI-InstructorOllama/HEAD/models/__pycache__/art.cpython-310.pyc -------------------------------------------------------------------------------- /models/__pycache__/Summary.cpython-310.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ThisModernDay/ComfyUI-InstructorOllama/HEAD/models/__pycache__/Summary.cpython-310.pyc -------------------------------------------------------------------------------- /models/__pycache__/Users.cpython-310.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ThisModernDay/ComfyUI-InstructorOllama/HEAD/models/__pycache__/Users.cpython-310.pyc -------------------------------------------------------------------------------- /__pycache__/InstructorOllama.cpython-310.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ThisModernDay/ComfyUI-InstructorOllama/HEAD/__pycache__/InstructorOllama.cpython-310.pyc -------------------------------------------------------------------------------- /models/__pycache__/Character.cpython-310.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ThisModernDay/ComfyUI-InstructorOllama/HEAD/models/__pycache__/Character.cpython-310.pyc -------------------------------------------------------------------------------- /models/Art.py: -------------------------------------------------------------------------------- 1 | from pydantic import BaseModel, Field 2 | 3 | class Art(BaseModel): 4 | title: str 5 | artist: str 6 | year_created: int 7 | style: str -------------------------------------------------------------------------------- /models/Character.py: -------------------------------------------------------------------------------- 1 | from pydantic import BaseModel 2 | 3 | class Character(BaseModel): 4 | setting: str 5 | clothing: str 6 | accessories: str 7 | gender: str 8 | style: str -------------------------------------------------------------------------------- /__init__.py: -------------------------------------------------------------------------------- 1 | from .InstructorOllama import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS 2 | from .models import * 3 | WEB_DIRECTORY = "./web" 4 | __all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS', 'WEB_DIRECTORY'] 5 | -------------------------------------------------------------------------------- /models/Users.py: -------------------------------------------------------------------------------- 1 | from pydantic import BaseModel, Field 2 | from typing import List 3 | 4 | class User(BaseModel): 5 | first_name: str 6 | last_name: str 7 | email: str 8 | phone: str 9 | address: str 10 | 11 | class Users(BaseModel): 12 | users: List[User] -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "comfyui-instructorollama" 3 | description = "Custom ComfyUI Nodes for interacting with [a/Ollama](https://ollama.com/) using the [a/Instructor](https://github.com/jxnl/instructor).\nIntegrate the power of LLMs into CompfyUI workflows easily with structured output." 4 | version = "0.0.1" 5 | license = { file = "LICENSE" } 6 | dependencies = ["ollama","instructor","openai","pydantic"] 7 | 8 | [project.urls] 9 | Repository = "https://github.com/thismodernday/comfyui-instructorollama" 10 | # Used by Comfy Registry https://comfyregistry.org 11 | 12 | [tool.comfy] 13 | PublisherId = "thismodernday" 14 | DisplayName = "comfyui-instructorollama" 15 | Icon = "" 16 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # ComfyUI Instructor Ollama 2 | 3 | Custom [ComfyUI](https://github.com/comfyanonymous/ComfyUI) Nodes for interacting with [Ollama](https://ollama.com/) using the [Instructor](https://github.com/jxnl/instructor). Library to provide structured output from your LLM 4 | 5 | To use this properly, you would need a running Ollama server reachable from the host that is running ComfyUI. 6 | 7 | 8 | ## Installation 9 | 10 | 1. git clone into the ```custom_nodes``` folder inside your ComfyUI installation or download as zip and unzip the contents to ```custom_nodes/ComfyUI-InstructorOllama```. 11 | 2. `pip install -r requirements.txt` 12 | 3. Start/restart ComfyUI 13 | 14 | 15 | 16 | ## Nodes 17 | 18 | Ollama Instructor Node 19 | 20 | ![](.images/oin.png) 21 | 22 | This is currently the only node in this pack. More will be added in the future 23 | 24 | **Response models** 25 | -- 26 | These are the pydantic models they are found in your custom nodes folder under 27 | 28 | `ComfyUI-InstructorOllama/models` 29 | 30 | I have included 4 examples in the models folder. 31 | 32 | The way the node currently works it looks for the python file in the folder (this allows you to create new models refresh the page to hotload the new models in) 33 | 34 | ### Example Pydantic Model 35 | ```Python 36 | from pydantic import BaseModel, Field 37 | 38 | class User(BaseModel): 39 | first_name: str 40 | last_name: str 41 | email: str 42 | phone: str 43 | address: str 44 | 45 | class Users(BaseModel): 46 | users: List[User] 47 | ``` 48 | 49 | The file name must match the class of the pydantic model you are wanting to use so in the example above the file in the models folder is called `Users.py` 50 | 51 | I strongly suggest reading up on pydantic models before starting with this node. 52 | -------------------------------------------------------------------------------- /web/js/OllamaInstructorNode.js: -------------------------------------------------------------------------------- 1 | import { app } from "/scripts/app.js"; 2 | 3 | app.registerExtension({ 4 | name: "Comfy.OllamaInstructorNode", 5 | async beforeRegisterNodeDef(nodeType, nodeData, app) { 6 | if (["OllamaInstructorNode"].includes(nodeData.name)) { 7 | const originalNodeCreated = nodeType.prototype.onNodeCreated; 8 | nodeType.prototype.onNodeCreated = async function () { 9 | if (originalNodeCreated) { 10 | originalNodeCreated.apply(this, arguments); 11 | } 12 | 13 | const urlWidget = this.widgets.find((w) => w.name === "ollama_base_url"); 14 | const modelWidget = this.widgets.find((w) => w.name === "ollama_model"); 15 | 16 | const fetchModels = async (url) => { 17 | try { 18 | const response = await fetch("/ollama/get_models", { 19 | method: "POST", 20 | headers: { 21 | "Content-Type": "application/json", 22 | }, 23 | body: JSON.stringify({ 24 | url, 25 | }), 26 | }); 27 | 28 | if (response.ok) { 29 | const models = await response.json(); 30 | console.debug("Fetched models:", models); 31 | return models; 32 | } else { 33 | console.error(`Failed to fetch models: ${response.status}`); 34 | return []; 35 | } 36 | } catch (error) { 37 | console.error(`Error fetching models`, error); 38 | return []; 39 | } 40 | }; 41 | 42 | const updateModels = async () => { 43 | const url = urlWidget.value; 44 | const prevValue = modelWidget.value 45 | modelWidget.value = '' 46 | modelWidget.options.values = [] 47 | 48 | const models = await fetchModels(url); 49 | 50 | // Update modelWidget options and value 51 | modelWidget.options.values = models; 52 | console.debug("Updated modelWidget.options.values:", modelWidget.options.values); 53 | 54 | if (models.includes(prevValue)) { 55 | modelWidget.value = prevValue; // stay on current. 56 | } else if (models.length > 0) { 57 | modelWidget.value = models[0]; // set first as default. 58 | } 59 | 60 | console.debug("Updated modelWidget.value:", modelWidget.value); 61 | }; 62 | 63 | urlWidget.callback = updateModels; 64 | 65 | const dummy = async () => { 66 | // calling async method will update the widgets with actual value from the browser and not the default from Node definition. 67 | } 68 | 69 | // Initial update 70 | await dummy(); // this will cause the widgets to obtain the actual value from web page. 71 | await updateModels(); 72 | }; 73 | } 74 | }, 75 | }); 76 | -------------------------------------------------------------------------------- /InstructorOllama.py: -------------------------------------------------------------------------------- 1 | import json 2 | import os 3 | import importlib.util 4 | from typing import Type 5 | from pydantic import BaseModel 6 | import instructor 7 | from openai import OpenAI 8 | from ollama import Client 9 | from server import PromptServer # type: ignore[import] 10 | from aiohttp import web 11 | from textwrap import dedent 12 | 13 | routes = PromptServer.instance.routes 14 | @routes.post('/ollama/get_models') 15 | async def get_models_endpoint(request): 16 | print("Received request to get Ollama models") 17 | data = await request.json() 18 | url = data.get("url") 19 | client = Client(host=url) 20 | models = [model['name'] for model in client.list().get('models', [])] 21 | 22 | return web.json_response(models) 23 | 24 | class OllamaInstructorNode: 25 | @classmethod 26 | def INPUT_TYPES(cls): 27 | return { 28 | "required": { 29 | "ollama_base_url": ("STRING", {"default": "http://127.0.0.1:11434"}), 30 | "ollama_model": ((), {}), 31 | "user_prompt": ("STRING", {"multiline": True}), 32 | "system_prompt": ("STRING", {"multiline": True}), 33 | "temperature": ("FLOAT", {"default": 0.7, "min": 0.0, "max": 1.0, "step": 0.01}), 34 | "max_retries": ("INT", {"default": 3, "min": 1, "max": 10}), 35 | "response_model": (cls.get_available_models(), {}), 36 | }, 37 | } 38 | 39 | RETURN_TYPES = ("STRING", "STRING") 40 | RETURN_NAMES = ("Response", "Docs") 41 | FUNCTION = "generate_structured_output" 42 | CATEGORY = "Instructor/Ollama" 43 | 44 | @staticmethod 45 | def get_available_models(): 46 | models_dir = os.path.join(os.path.dirname(__file__), "models") 47 | model_files = [f[:-3] for f in os.listdir(models_dir) if f.endswith('.py') and not f.startswith('__')] 48 | return model_files 49 | 50 | @staticmethod 51 | def load_model(model_name: str) -> Type[BaseModel]: 52 | models_dir = os.path.join(os.path.dirname(__file__), "models") 53 | model_path = os.path.join(models_dir, f"{model_name}.py") 54 | 55 | spec = importlib.util.spec_from_file_location(model_name, model_path) 56 | module = importlib.util.module_from_spec(spec) 57 | spec.loader.exec_module(module) 58 | 59 | # Assuming the model class name is the same as the file name 60 | return getattr(module, model_name) 61 | 62 | def generate_structured_output(self, ollama_base_url, ollama_model, user_prompt, system_prompt, temperature, max_retries, response_model): 63 | 64 | client = instructor.from_openai(OpenAI(api_key="ollama", base_url=f"{ollama_base_url}/v1", max_retries=max_retries), mode=instructor.Mode.JSON) 65 | 66 | # Load the selected response model 67 | model_class = self.load_model(response_model) 68 | 69 | system_prompt = { 70 | 'role': 'system', 71 | 'content': system_prompt 72 | } 73 | 74 | user_prompt = { 75 | 'role': 'user', 76 | 'content': user_prompt 77 | } 78 | 79 | 80 | try: 81 | # Generate structured output using Instructor and Ollama 82 | response = client.chat.completions.create( 83 | model=ollama_model, 84 | messages=[system_prompt, user_prompt], 85 | response_model=model_class, 86 | temperature=temperature 87 | ) 88 | 89 | # Convert the response to a JSON string 90 | result = json.dumps(response.dict(), indent=2) 91 | docs = dedent(f""" 92 | "Instructor: https://python.useinstructor.com/", 93 | "Pydantic: https://docs.pydantic.dev/latest/", 94 | "Instructor Ollama Node: https://github.com/thismodernday/ComfyUI-InstructorOllama" 95 | 96 | Pydantic models are stored in the `models` directory. Each model should be a separate Python file with a Pydantic model that inherits from `BaseModel`. 97 | you can copy paste this path: {os.path.join(os.path.dirname(__file__), "models")} into your file browser. 98 | """) 99 | return (result, docs) 100 | 101 | except Exception as e: 102 | raise Exception(f"Failed to generate output after {max_retries} attempts: {str(e)}") 103 | 104 | # This function is required for ComfyUI to recognize and load the custom node 105 | NODE_CLASS_MAPPINGS = { 106 | "OllamaInstructorNode": OllamaInstructorNode 107 | } 108 | 109 | # This dictionary provides human-readable names for the custom nodes 110 | NODE_DISPLAY_NAME_MAPPINGS = { 111 | "OllamaInstructorNode": "Ollama Instructor Node" 112 | } -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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