Instructions to use saik0s/comfy_backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use saik0s/comfy_backup with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="saik0s/comfy_backup", filename="ComfyUI/models/text_encoders/gemma-3-12b-it-q2_k.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use saik0s/comfy_backup with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: llama cli -hf saik0s/comfy_backup:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: llama cli -hf saik0s/comfy_backup:Q4_K_S
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf saik0s/comfy_backup:Q4_K_S
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf saik0s/comfy_backup:Q4_K_S
Use Docker
docker model run hf.co/saik0s/comfy_backup:Q4_K_S
- LM Studio
- Jan
- Ollama
How to use saik0s/comfy_backup with Ollama:
ollama run hf.co/saik0s/comfy_backup:Q4_K_S
- Unsloth Studio
How to use saik0s/comfy_backup with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for saik0s/comfy_backup to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for saik0s/comfy_backup to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for saik0s/comfy_backup to start chatting
- Pi
How to use saik0s/comfy_backup with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "saik0s/comfy_backup:Q4_K_S" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use saik0s/comfy_backup with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default saik0s/comfy_backup:Q4_K_S
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use saik0s/comfy_backup with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "saik0s/comfy_backup:Q4_K_S" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use saik0s/comfy_backup with Docker Model Runner:
docker model run hf.co/saik0s/comfy_backup:Q4_K_S
- Lemonade
How to use saik0s/comfy_backup with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull saik0s/comfy_backup:Q4_K_S
Run and chat with the model
lemonade run user.comfy_backup-Q4_K_S
List all available models
lemonade list
| import { app } from "../../../scripts/app.js"; | |
| let setting; | |
| const id = "pysssss.SnapToGrid"; | |
| /** Wraps the provided function call to set/reset shiftDown when setting is enabled. */ | |
| function wrapCallInSettingCheck(fn) { | |
| if (setting?.value) { | |
| const shift = app.shiftDown; | |
| app.shiftDown = true; | |
| const r = fn(); | |
| app.shiftDown = shift; | |
| return r; | |
| } | |
| return fn(); | |
| } | |
| const ext = { | |
| name: id, | |
| init() { | |
| setting = app.ui.settings.addSetting({ | |
| id, | |
| name: "🐍 Always snap to grid", | |
| defaultValue: false, | |
| type: "boolean", | |
| onChange(value) { | |
| app.canvas.align_to_grid = value; | |
| }, | |
| }); | |
| // We need to register our hooks after the core snap to grid extension runs | |
| // Do this from the graph configure function so we still get onNodeAdded calls | |
| const configure = LGraph.prototype.configure; | |
| LGraph.prototype.configure = function () { | |
| // Override drawNode to draw the drop position | |
| const drawNode = LGraphCanvas.prototype.drawNode; | |
| LGraphCanvas.prototype.drawNode = function () { | |
| wrapCallInSettingCheck(() => drawNode.apply(this, arguments)); | |
| }; | |
| // Override node added to add a resize handler to force grid alignment | |
| const onNodeAdded = app.graph.onNodeAdded; | |
| app.graph.onNodeAdded = function (node) { | |
| const r = onNodeAdded?.apply(this, arguments); | |
| const onResize = node.onResize; | |
| node.onResize = function () { | |
| wrapCallInSettingCheck(() => onResize?.apply(this, arguments)); | |
| }; | |
| return r; | |
| }; | |
| const groupMove = LGraphGroup.prototype.move; | |
| LGraphGroup.prototype.move = function(deltax, deltay, ignore_nodes) { | |
| wrapCallInSettingCheck(() => groupMove.apply(this, arguments)); | |
| } | |
| const canvasDrawGroups = LGraphCanvas.prototype.drawGroups; | |
| LGraphCanvas.prototype.drawGroups = function (canvas, ctx) { | |
| wrapCallInSettingCheck(() => canvasDrawGroups.apply(this, arguments)); | |
| } | |
| const canvasOnGroupAdd = LGraphCanvas.onGroupAdd; | |
| LGraphCanvas.onGroupAdd = function() { | |
| wrapCallInSettingCheck(() => canvasOnGroupAdd.apply(this, arguments)); | |
| } | |
| return configure.apply(this, arguments); | |
| }; | |
| }, | |
| }; | |
| app.registerExtension(ext); | |