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

Libraries

How to use MaxedOut/ComfyUI-Starter-Packs with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="MaxedOut/ComfyUI-Starter-Packs",
	filename="Flux1/clip/GGUF/t5xxl_Q5_K_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use MaxedOut/ComfyUI-Starter-Packs with llama.cpp:

Install from brew

brew install llama.cpp
# 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

Install from WinGet (Windows)

winget install llama.cpp
# 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

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 new

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

The links don't work

by Paval - opened Mar 12

Discussion

Paval

Mar 12

At least 2 links are not working:

https://www.patreon.com/posts/flux-level-1-and-131945103?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link

https://huggingface.co/MaxedOut/ComfyUI-Starter-Packs/resolve/main/Flux1/unet/Schnell/flux1-schnell-fp8-e4m3fn.safetensors

MaxedOut

Owner Mar 12

The patreon one works for me even if I open in incognito mode and the fp8 schnell model says "entry not found" but for the download guide for the flux workflows the fp8 schnell does work for me there.

I was assuming you got the Patreon link from this repos model card but what about the schnell one?

Paval

Mar 12

The patreon one works for me even if I open in incognito mode and the fp8 schnell model says "entry not found" but for the download guide for the flux workflows the fp8 schnell does work for me there.

I was assuming you got the Patreon link from this repos model card but what about the schnell one?

"Schnell" is taken from the information node in your Civi Workflow, and it seems like it didn't open correctly for me. Here's what I see.

MaxedOut

Owner Mar 12

The schnell link works here:

https://www.patreon.com/posts/131324111?utm_campaign=postshare_creator&utm_content=android_share

It's also on this repo at Flux1/unet/Schnell/somewhere_here. 🙏

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