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 { generateId, wait } from "./shared_utils.js"; | |
| import { createElement as $el, getClosestOrSelf, setAttributes} from "./utils_dom.js"; | |
| /** | |
| * A menu. Mimics the comfy menu. | |
| */ | |
| class Menu { | |
| private element: HTMLMenuElement = $el('menu.rgthree-menu'); | |
| private callbacks: Map<string, (e: PointerEvent) => Promise<boolean|void>> = new Map(); | |
| private handleWindowPointerDownBound = this.handleWindowPointerDown.bind(this); | |
| constructor(options: MenuOption[]) { | |
| this.setOptions(options); | |
| this.element.addEventListener('pointerup', async (e) => { | |
| const target = getClosestOrSelf(e.target as HTMLElement, "[data-callback],menu"); | |
| if (e.which !== 1) { | |
| return; | |
| } | |
| const callback = target?.dataset?.['callback']; | |
| if (callback) { | |
| const halt = await this.callbacks.get(callback)?.(e); | |
| if (halt !== false) { | |
| this.close(); | |
| } | |
| } | |
| e.preventDefault(); | |
| e.stopPropagation(); | |
| e.stopImmediatePropagation(); | |
| }); | |
| } | |
| setOptions(options: MenuOption[]) { | |
| for (const option of options) { | |
| if (option.type === 'title') { | |
| this.element.appendChild($el(`li`, { | |
| html: option.label | |
| })); | |
| } else { | |
| const id = generateId(8); | |
| this.callbacks.set(id, async (e: PointerEvent) => { return option?.callback?.(e); }); | |
| this.element.appendChild($el(`li[role="button"][data-callback="${id}"]`, { | |
| html: option.label | |
| })); | |
| } | |
| } | |
| } | |
| toElement() { | |
| return this.element; | |
| } | |
| async open(e: PointerEvent) { | |
| const parent = (e.target as HTMLElement).closest('div,dialog,body') as HTMLElement | |
| parent.appendChild(this.element); | |
| setAttributes(this.element, { | |
| style: { | |
| left: `${e.clientX + 16}px`, | |
| top: `${e.clientY - 16}px`, | |
| } | |
| }); | |
| this.element.setAttribute('state', 'measuring-open'); | |
| await wait(16); | |
| const rect = this.element.getBoundingClientRect(); | |
| if (rect.right > window.innerWidth) { | |
| this.element.style.left = `${e.clientX - rect.width - 16}px`; | |
| await wait(16); | |
| } | |
| this.element.setAttribute('state', 'open'); | |
| setTimeout(() => { | |
| window.addEventListener('pointerdown', this.handleWindowPointerDownBound); | |
| }); | |
| } | |
| handleWindowPointerDown(e:PointerEvent) { | |
| if (!this.element.contains(e.target as HTMLElement)) { | |
| this.close(); | |
| } | |
| } | |
| async close() { | |
| window.removeEventListener('pointerdown', this.handleWindowPointerDownBound); | |
| this.element.setAttribute('state', 'measuring-closed'); | |
| await wait(16); | |
| this.element.setAttribute('state', 'closed'); | |
| this.element.remove(); | |
| } | |
| isOpen() { | |
| return (this.element.getAttribute('state') || '').includes('open'); | |
| } | |
| } | |
| type MenuOption = { | |
| label: string; | |
| type?: 'title'|'item'|'separator'; | |
| callback?: (e: PointerEvent) => void; | |
| } | |
| type MenuButtonOptions = { | |
| icon: string; | |
| options: MenuOption[]; | |
| } | |
| export class MenuButton { | |
| private options: MenuButtonOptions; | |
| private menu: Menu; | |
| private element: HTMLButtonElement = $el('button.rgthree-button[data-action="open-menu"]') | |
| constructor(options: MenuButtonOptions) { | |
| this.options = options; | |
| this.element.innerHTML = options.icon; | |
| this.menu = new Menu(options.options); | |
| this.element.addEventListener('pointerdown', (e) => { | |
| if (!this.menu.isOpen()) { | |
| this.menu.open(e); | |
| } | |
| }); | |
| } | |
| toElement() { | |
| return this.element; | |
| } | |
| } |