Instructions to use nguoidoncui/ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use nguoidoncui/ComfyUI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="nguoidoncui/ComfyUI", filename="SEEDVR2/seedvr2_ema_3b-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 nguoidoncui/ComfyUI 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 nguoidoncui/ComfyUI:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf nguoidoncui/ComfyUI:UD-Q4_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf nguoidoncui/ComfyUI:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf nguoidoncui/ComfyUI:UD-Q4_K_XL
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 nguoidoncui/ComfyUI:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf nguoidoncui/ComfyUI:UD-Q4_K_XL
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 nguoidoncui/ComfyUI:UD-Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf nguoidoncui/ComfyUI:UD-Q4_K_XL
Use Docker
docker model run hf.co/nguoidoncui/ComfyUI:UD-Q4_K_XL
- LM Studio
- Jan
- Ollama
How to use nguoidoncui/ComfyUI with Ollama:
ollama run hf.co/nguoidoncui/ComfyUI:UD-Q4_K_XL
- Unsloth Studio
How to use nguoidoncui/ComfyUI 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 nguoidoncui/ComfyUI 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 nguoidoncui/ComfyUI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for nguoidoncui/ComfyUI to start chatting
- Atomic Chat new
- Docker Model Runner
How to use nguoidoncui/ComfyUI with Docker Model Runner:
docker model run hf.co/nguoidoncui/ComfyUI:UD-Q4_K_XL
- Lemonade
How to use nguoidoncui/ComfyUI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull nguoidoncui/ComfyUI:UD-Q4_K_XL
Run and chat with the model
lemonade run user.ComfyUI-UD-Q4_K_XL
List all available models
lemonade list
| { | |
| "seedvr2_ema_7b_sharp-Q4_K_M.gguf": { | |
| "size": 4758306592, | |
| "mtime": 1763571276.018415, | |
| "hash": "7aed800ac4eb8e0d18569a954c0ff35f5a1caa3ed5d920e66cc31405f75b6e69" | |
| }, | |
| "ema_vae_fp16.safetensors": { | |
| "size": 501324814, | |
| "mtime": 1763571299.9299, | |
| "hash": "20678548f420d98d26f11442d3528f8b8c94e57ee046ef93dbb7633da8612ca1" | |
| }, | |
| "seedvr2_ema_3b-Q8_0.gguf": { | |
| "size": 3660613984, | |
| "mtime": 1763816570.8665802, | |
| "hash": "be0d60083a2051a265eb4b77f28edf494e6db67ffc250216f32b72292e5cbd96" | |
| } | |
| } |