Instructions to use MaxedOut/ComfyUI-Starter-Packs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use MaxedOut/ComfyUI-Starter-Packs 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 MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M

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 MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M

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 MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M

Use Docker

docker model run hf.co/MaxedOut/ComfyUI-Starter-Packs:Q4_K_M

LM Studio
Jan
Ollama
How to use MaxedOut/ComfyUI-Starter-Packs with Ollama:
```
ollama run hf.co/MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
```

Unsloth Studio

How to use MaxedOut/ComfyUI-Starter-Packs 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 MaxedOut/ComfyUI-Starter-Packs 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 MaxedOut/ComfyUI-Starter-Packs to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for MaxedOut/ComfyUI-Starter-Packs to start chatting

Docker Model Runner
How to use MaxedOut/ComfyUI-Starter-Packs with Docker Model Runner:
```
docker model run hf.co/MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
```

Lemonade

How to use MaxedOut/ComfyUI-Starter-Packs with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MaxedOut/ComfyUI-Starter-Packs:Q4_K_M

Run and chat with the model

lemonade run user.ComfyUI-Starter-Packs-Q4_K_M

List all available models

lemonade list

Atomic Chat

Thank you

by moechofe - opened Jun 30, 2025

Discussion

moechofe

Jun 30, 2025

🙏

moechofe changed discussion title from Thank to Thank you Jun 30, 2025

Edgardoab

Jun 30, 2025

Thank you very much. I'm just beginning to explore the wonders of artificial intelligence.

Edgardoab

Jun 30, 2025

I appreciate your work and patience

MaxedOut

Owner Jun 30, 2025

No problem guys. 🙂

sKar40

Jul 25, 2025

Trying it out now. Thanks

witchrinnie

Aug 2, 2025

♥

Raynoir

Nov 4, 2025

Thank for taking the time to share! I'm totally new to this so it's great for me.

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