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
| from pydantic import BaseModel, Field, field_validator | |
| from pydantic_settings import BaseSettings, SettingsConfigDict | |
| from typing import List, Optional | |
| # IMPORTANT: The type definitions specified in pyproject.toml for custom nodes | |
| # must remain synchronized with the corresponding files in the https://github.com/Comfy-Org/comfy-cli/blob/main/comfy_cli/registry/types.py. | |
| # Any changes to one must be reflected in the other to maintain consistency. | |
| class NodeVersion(BaseModel): | |
| changelog: str | |
| dependencies: List[str] | |
| deprecated: bool | |
| id: str | |
| version: str | |
| download_url: str | |
| class Node(BaseModel): | |
| id: str | |
| name: str | |
| description: str | |
| author: Optional[str] = None | |
| license: Optional[str] = None | |
| icon: Optional[str] = None | |
| repository: Optional[str] = None | |
| tags: List[str] = Field(default_factory=list) | |
| latest_version: Optional[NodeVersion] = None | |
| class PublishNodeVersionResponse(BaseModel): | |
| node_version: NodeVersion | |
| signedUrl: str | |
| class URLs(BaseModel): | |
| homepage: str = Field(default="", alias="Homepage") | |
| documentation: str = Field(default="", alias="Documentation") | |
| repository: str = Field(default="", alias="Repository") | |
| issues: str = Field(default="", alias="Issues") | |
| class Model(BaseModel): | |
| location: str | |
| model_url: str | |
| class ComfyConfig(BaseModel): | |
| publisher_id: str = Field(default="", alias="PublisherId") | |
| display_name: str = Field(default="", alias="DisplayName") | |
| icon: str = Field(default="", alias="Icon") | |
| models: List[Model] = Field(default_factory=list, alias="Models") | |
| includes: List[str] = Field(default_factory=list) | |
| web: Optional[str] = None | |
| banner_url: str = "" | |
| class License(BaseModel): | |
| file: str = "" | |
| text: str = "" | |
| class ProjectConfig(BaseModel): | |
| name: str = "" | |
| description: str = "" | |
| version: str = "1.0.0" | |
| requires_python: str = Field(default=">= 3.9", alias="requires-python") | |
| dependencies: List[str] = Field(default_factory=list) | |
| license: License = Field(default_factory=License) | |
| urls: URLs = Field(default_factory=URLs) | |
| supported_os: List[str] = Field(default_factory=list) | |
| supported_accelerators: List[str] = Field(default_factory=list) | |
| supported_comfyui_version: str = "" | |
| supported_comfyui_frontend_version: str = "" | |
| def validate_license(cls, v): | |
| if isinstance(v, str): | |
| return License(text=v) | |
| elif isinstance(v, dict): | |
| return License(**v) | |
| elif isinstance(v, License): | |
| return v | |
| else: | |
| return License() | |
| class PyProjectConfig(BaseModel): | |
| project: ProjectConfig = Field(default_factory=ProjectConfig) | |
| tool_comfy: ComfyConfig = Field(default_factory=ComfyConfig) | |
| class PyProjectSettings(BaseSettings): | |
| project: dict = Field(default_factory=dict) | |
| tool: dict = Field(default_factory=dict) | |
| model_config = SettingsConfigDict(extra='allow') | |