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="models/text_encoders/Qwen3VL-8B-Uncensored-HauhauCS-Aggressive-Q8_0.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:Q8_0 # Run inference directly in the terminal: llama cli -hf saik0s/comfy_backup:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf saik0s/comfy_backup:Q8_0 # Run inference directly in the terminal: llama cli -hf saik0s/comfy_backup:Q8_0
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:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf saik0s/comfy_backup:Q8_0
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:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf saik0s/comfy_backup:Q8_0
Use Docker
docker model run hf.co/saik0s/comfy_backup:Q8_0
- LM Studio
- Jan
- Ollama
How to use saik0s/comfy_backup with Ollama:
ollama run hf.co/saik0s/comfy_backup:Q8_0
- 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:Q8_0
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:Q8_0" } ] } } }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:Q8_0
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:Q8_0
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:Q8_0
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:Q8_0" \ --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:Q8_0
- Lemonade
How to use saik0s/comfy_backup with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull saik0s/comfy_backup:Q8_0
Run and chat with the model
lemonade run user.comfy_backup-Q8_0
List all available models
lemonade list
| import datetime | |
| import time | |
| from .pyproject import NAME | |
| # https://stackoverflow.com/questions/4842424/list-of-ansi-color-escape-sequences | |
| # https://en.wikipedia.org/wiki/ANSI_escape_code#3-bit_and_4-bit | |
| COLORS = { | |
| 'BLACK': '\33[30m', | |
| 'RED': '\33[31m', | |
| 'GREEN': '\33[32m', | |
| 'YELLOW': '\33[33m', | |
| 'BLUE': '\33[34m', | |
| 'MAGENTA': '\33[35m', | |
| 'CYAN': '\33[36m', | |
| 'WHITE': '\33[37m', | |
| 'GREY': '\33[90m', | |
| 'BRIGHT_RED': '\33[91m', | |
| 'BRIGHT_GREEN': '\33[92m', | |
| 'BRIGHT_YELLOW': '\33[93m', | |
| 'BRIGHT_BLUE': '\33[94m', | |
| 'BRIGHT_MAGENTA': '\33[95m', | |
| 'BRIGHT_CYAN': '\33[96m', | |
| 'BRIGHT_WHITE': '\33[97m', | |
| # Styles. | |
| 'RESET': '\33[0m', # Note, Portainer doesn't like 00 here, so we'll use 0. Should be fine... | |
| 'BOLD': '\33[01m', | |
| 'NORMAL': '\33[22m', | |
| 'ITALIC': '\33[03m', | |
| 'UNDERLINE': '\33[04m', | |
| 'BLINK': '\33[05m', | |
| 'BLINK2': '\33[06m', | |
| 'SELECTED': '\33[07m', | |
| # Backgrounds | |
| 'BG_BLACK': '\33[40m', | |
| 'BG_RED': '\33[41m', | |
| 'BG_GREEN': '\33[42m', | |
| 'BG_YELLOW': '\33[43m', | |
| 'BG_BLUE': '\33[44m', | |
| 'BG_MAGENTA': '\33[45m', | |
| 'BG_CYAN': '\33[46m', | |
| 'BG_WHITE': '\33[47m', | |
| 'BG_GREY': '\33[100m', | |
| 'BG_BRIGHT_RED': '\33[101m', | |
| 'BG_BRIGHT_GREEN': '\33[102m', | |
| 'BG_BRIGHT_YELLOW': '\33[103m', | |
| 'BG_BRIGHT_BLUE': '\33[104m', | |
| 'BG_BRIGHT_MAGENTA': '\33[105m', | |
| 'BG_BRIGHT_CYAN': '\33[106m', | |
| 'BG_BRIGHT_WHITE': '\33[107m', | |
| } | |
| def log_node_success(node_name, message, msg_color='RESET'): | |
| """Logs a success message.""" | |
| _log_node("BRIGHT_GREEN", node_name, message, msg_color=msg_color) | |
| def log_node_info(node_name, message, msg_color='RESET'): | |
| """Logs an info message.""" | |
| _log_node("CYAN", node_name, message, msg_color=msg_color) | |
| def log_node_error(node_name, message, msg_color='RESET'): | |
| """Logs an info message.""" | |
| _log_node("RED", node_name, message, msg_color=msg_color) | |
| def log_node_warn(node_name, message, msg_color='RESET'): | |
| """Logs an warn message.""" | |
| _log_node("YELLOW", node_name, message, msg_color=msg_color) | |
| def log_node(node_name, message, msg_color='RESET'): | |
| """Logs a message.""" | |
| _log_node("CYAN", node_name, message, msg_color=msg_color) | |
| def _log_node(color, node_name, message, msg_color='RESET'): | |
| """Logs for a node message.""" | |
| log(message, color=color, prefix=node_name.replace(" (rgthree)", ""), msg_color=msg_color) | |
| LOGGED = {} | |
| def log(message, color=None, msg_color=None, prefix=None, id=None, at_most_secs=None): | |
| """Basic logging.""" | |
| now = int(time.time()) | |
| if id: | |
| if at_most_secs is None: | |
| raise ValueError('at_most_secs should be set if an id is set.') | |
| if id in LOGGED: | |
| last_logged = LOGGED[id] | |
| if now < last_logged + at_most_secs: | |
| return | |
| LOGGED[id] = now | |
| color = COLORS[color] if color is not None and color in COLORS else COLORS["BRIGHT_GREEN"] | |
| msg_color = COLORS[msg_color] if msg_color is not None and msg_color in COLORS else '' | |
| prefix = f'[{prefix}]' if prefix is not None else '' | |
| msg = f'{color}[{NAME}]{prefix}' | |
| msg += f'{msg_color} {message}{COLORS["RESET"]}' | |
| print(msg) | |