Instructions to use LuckyOda/comfyui-carbonara-bundle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use LuckyOda/comfyui-carbonara-bundle with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="LuckyOda/comfyui-carbonara-bundle", filename="models/text_encoders/qwen-4b-zimage-heretic-q8.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 LuckyOda/comfyui-carbonara-bundle 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 LuckyOda/comfyui-carbonara-bundle # Run inference directly in the terminal: llama cli -hf LuckyOda/comfyui-carbonara-bundle
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf LuckyOda/comfyui-carbonara-bundle # Run inference directly in the terminal: llama cli -hf LuckyOda/comfyui-carbonara-bundle
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 LuckyOda/comfyui-carbonara-bundle # Run inference directly in the terminal: ./llama-cli -hf LuckyOda/comfyui-carbonara-bundle
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 LuckyOda/comfyui-carbonara-bundle # Run inference directly in the terminal: ./build/bin/llama-cli -hf LuckyOda/comfyui-carbonara-bundle
Use Docker
docker model run hf.co/LuckyOda/comfyui-carbonara-bundle
- LM Studio
- Jan
- Ollama
How to use LuckyOda/comfyui-carbonara-bundle with Ollama:
ollama run hf.co/LuckyOda/comfyui-carbonara-bundle
- Unsloth Studio
How to use LuckyOda/comfyui-carbonara-bundle 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 LuckyOda/comfyui-carbonara-bundle 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 LuckyOda/comfyui-carbonara-bundle to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for LuckyOda/comfyui-carbonara-bundle to start chatting
- Pi
How to use LuckyOda/comfyui-carbonara-bundle with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf LuckyOda/comfyui-carbonara-bundle
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": "LuckyOda/comfyui-carbonara-bundle" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use LuckyOda/comfyui-carbonara-bundle with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf LuckyOda/comfyui-carbonara-bundle
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 LuckyOda/comfyui-carbonara-bundle
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use LuckyOda/comfyui-carbonara-bundle with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf LuckyOda/comfyui-carbonara-bundle
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 "LuckyOda/comfyui-carbonara-bundle" \ --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 LuckyOda/comfyui-carbonara-bundle with Docker Model Runner:
docker model run hf.co/LuckyOda/comfyui-carbonara-bundle
- Lemonade
How to use LuckyOda/comfyui-carbonara-bundle with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull LuckyOda/comfyui-carbonara-bundle
Run and chat with the model
lemonade run user.comfyui-carbonara-bundle-{{QUANT_TAG}}List all available models
lemonade list
| try: | |
| from .utils import check_duplicate_nodes, log, color_text | |
| duplicate_dirs = check_duplicate_nodes() | |
| if duplicate_dirs: | |
| warning_msg = f"WARNING: Found {len(duplicate_dirs)} other WanVideoWrapper directories:\n" | |
| for dir_path in duplicate_dirs: | |
| warning_msg += f" - {color_text(dir_path, 'yellow')}\n" | |
| log.warning(color_text(warning_msg + "Please remove duplicates to avoid possible conflicts.", "red")) | |
| except: | |
| pass | |
| from .utils import log | |
| NODE_CLASS_MAPPINGS = {} | |
| NODE_DISPLAY_NAME_MAPPINGS = {} | |
| # Required modules (will raise on import failure) | |
| REQUIRED_MODULES = [ | |
| (".nodes", "Main"), | |
| (".nodes_sampler", "Sampler"), | |
| (".nodes_model_loading", "ModelLoading"), | |
| (".nodes_utility", "Utility"), | |
| (".cache_methods.nodes_cache", "Cache"), | |
| ] | |
| # Optional modules (will warn on import failure) | |
| OPTIONAL_MODULES = [ | |
| (".nodes_deprecated", "Deprecated"), | |
| (".s2v.nodes", "S2V"), | |
| (".FlashVSR.flashvsr_nodes", "FlashVSR"), | |
| (".mocha.nodes", "Mocha"), | |
| (".fun_camera.nodes", "FunCamera"), | |
| (".uni3c.nodes", "Uni3C"), | |
| (".controlnet.nodes", "ControlNet"), | |
| (".ATI.nodes", "ATI"), | |
| (".multitalk.nodes", "MultiTalk"), | |
| (".recammaster.nodes", "RecamMaster"), | |
| (".skyreels.nodes", "SkyReels"), | |
| (".fantasytalking.nodes", "FantasyTalking"), | |
| (".qwen.qwen", "Qwen"), | |
| (".fantasyportrait.nodes", "FantasyPortrait"), | |
| (".unianimate.nodes", "UniAnimate"), | |
| (".MTV.nodes", "MTV"), | |
| (".HuMo.nodes", "HuMo"), | |
| (".lynx.nodes", "Lynx"), | |
| (".Ovi.nodes_ovi", "Ovi"), | |
| (".steadydancer.nodes", "SteadyDancer"), | |
| (".onetoall.nodes", "OneToAll"), | |
| (".WanMove.nodes", "WanMove"), | |
| (".SCAIL.nodes", "SCAIL"), | |
| (".LongCat.nodes", "LongCat"), | |
| (".LongVie2.nodes", "LongVie2"), | |
| ] | |
| def register_nodes(module_path: str, name: str, optional: bool) -> None: | |
| """Import and register nodes from a module.""" | |
| try: | |
| import importlib | |
| module = importlib.import_module(module_path, package=__package__) | |
| NODE_CLASS_MAPPINGS.update(getattr(module, "NODE_CLASS_MAPPINGS", {})) | |
| NODE_DISPLAY_NAME_MAPPINGS.update(getattr(module, "NODE_DISPLAY_NAME_MAPPINGS", {})) | |
| except Exception as e: | |
| if optional: | |
| log.warning(f"WanVideoWrapper WARNING: {name} nodes not available: {e}") | |
| else: | |
| raise | |
| # Register all node modules | |
| for module_path, name in REQUIRED_MODULES: | |
| register_nodes(module_path, name, optional=False) | |
| for module_path, name in OPTIONAL_MODULES: | |
| register_nodes(module_path, name, optional=True) | |
| __all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"] | |