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 { $el } from "../../../../scripts/ui.js"; | |
| import { addStylesheet, getUrl, loadImage } from "./utils.js"; | |
| import { createSpinner } from "./spinner.js"; | |
| addStylesheet(getUrl("lightbox.css", import.meta.url)); | |
| const $$el = (tag, name, ...args) => { | |
| if (name) name = "-" + name; | |
| return $el(tag + ".pysssss-lightbox" + name, ...args); | |
| }; | |
| const ani = async (a, t, b) => { | |
| a(); | |
| await new Promise((r) => setTimeout(r, t)); | |
| b(); | |
| }; | |
| export class Lightbox { | |
| constructor() { | |
| this.el = $$el("div", "", { | |
| parent: document.body, | |
| onclick: (e) => { | |
| e.stopImmediatePropagation(); | |
| this.close(); | |
| }, | |
| style: { | |
| display: "none", | |
| opacity: 0, | |
| }, | |
| }); | |
| this.closeBtn = $$el("div", "close", { | |
| parent: this.el, | |
| }); | |
| this.prev = $$el("div", "prev", { | |
| parent: this.el, | |
| onclick: (e) => { | |
| this.update(-1); | |
| e.stopImmediatePropagation(); | |
| }, | |
| }); | |
| this.main = $$el("div", "main", { | |
| parent: this.el, | |
| }); | |
| this.next = $$el("div", "next", { | |
| parent: this.el, | |
| onclick: (e) => { | |
| this.update(1); | |
| e.stopImmediatePropagation(); | |
| }, | |
| }); | |
| this.link = $$el("a", "link", { | |
| parent: this.main, | |
| target: "_blank", | |
| }); | |
| this.spinner = createSpinner(); | |
| this.link.appendChild(this.spinner); | |
| this.img = $$el("img", "img", { | |
| style: { | |
| opacity: 0, | |
| }, | |
| parent: this.link, | |
| onclick: (e) => { | |
| e.stopImmediatePropagation(); | |
| }, | |
| onwheel: (e) => { | |
| if (!(e instanceof WheelEvent) || e.ctrlKey) { | |
| return; | |
| } | |
| const direction = Math.sign(e.deltaY); | |
| this.update(direction); | |
| }, | |
| }); | |
| } | |
| close() { | |
| ani( | |
| () => (this.el.style.opacity = 0), | |
| 200, | |
| () => (this.el.style.display = "none") | |
| ); | |
| } | |
| async show(images, index) { | |
| this.images = images; | |
| this.index = index || 0; | |
| await this.update(0); | |
| } | |
| async update(shift) { | |
| if (shift < 0 && this.index <= 0) { | |
| return; | |
| } | |
| if (shift > 0 && this.index >= this.images.length - 1) { | |
| return; | |
| } | |
| this.index += shift; | |
| this.prev.style.visibility = this.index ? "unset" : "hidden"; | |
| this.next.style.visibility = this.index === this.images.length - 1 ? "hidden" : "unset"; | |
| const img = this.images[this.index]; | |
| this.el.style.display = "flex"; | |
| this.el.clientWidth; // Force a reflow | |
| this.el.style.opacity = 1; | |
| this.img.style.opacity = 0; | |
| this.spinner.style.display = "inline-block"; | |
| try { | |
| await loadImage(img); | |
| } catch (err) { | |
| console.error('failed to load image', img, err); | |
| } | |
| this.spinner.style.display = "none"; | |
| this.link.href = img; | |
| this.img.src = img; | |
| this.img.style.opacity = 1; | |
| } | |
| async updateWithNewImage(img, feedDirection) { | |
| // No-op if lightbox is not open | |
| if (this.el.style.display === "none" || this.el.style.opacity === "0") return; | |
| // Ensure currently shown image does not change | |
| const [method, shift] = feedDirection === "newest first" ? ["unshift", 1] : ["push", 0]; | |
| this.images[method](img); | |
| await this.update(shift); | |
| } | |
| } | |
| export const lightbox = new Lightbox(); | |
| addEventListener('keydown', (event) => { | |
| if (lightbox.el.style.display === 'none') { | |
| return; | |
| } | |
| const { key } = event; | |
| switch (key) { | |
| case 'ArrowLeft': | |
| case 'a': | |
| lightbox.update(-1); | |
| break; | |
| case 'ArrowRight': | |
| case 'd': | |
| lightbox.update(1); | |
| break; | |
| case 'Escape': | |
| lightbox.close(); | |
| break; | |
| } | |
| }); |