Instructions to use 45th/comfyui-model-pack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 45th/comfyui-model-pack with Diffusers:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("45th/comfyui-model-pack", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use 45th/comfyui-model-pack 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 45th/comfyui-model-pack
# Run inference directly in the terminal:
llama cli -hf 45th/comfyui-model-pack

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf 45th/comfyui-model-pack
# Run inference directly in the terminal:
llama cli -hf 45th/comfyui-model-pack

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf 45th/comfyui-model-pack
# Run inference directly in the terminal:
./build/bin/llama cli -hf 45th/comfyui-model-pack

Use Docker

docker model run hf.co/45th/comfyui-model-pack

Llama new
LM Studio
Jan
Ollama
How to use 45th/comfyui-model-pack with Ollama:
```
ollama run hf.co/45th/comfyui-model-pack
```
Unsloth Desktop

How to use 45th/comfyui-model-pack with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf 45th/comfyui-model-pack

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "45th/comfyui-model-pack"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use 45th/comfyui-model-pack with Docker Model Runner:
```
docker model run hf.co/45th/comfyui-model-pack
```

Lemonade

How to use 45th/comfyui-model-pack with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull 45th/comfyui-model-pack

Run and chat with the model

lemonade run user.comfyui-model-pack-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use 45th/comfyui-model-pack with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf 45th/comfyui-model-pack

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 45th/comfyui-model-pack

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use 45th/comfyui-model-pack with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf 45th/comfyui-model-pack

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 "45th/comfyui-model-pack" \
  --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"

comfyui-model-pack

File size: 1,014 Bytes

8dd94c1

from .sdnextmerge_nodes import *
from .vae_merge import *
from .quant_nodes import *

NODE_CLASS_MAPPINGS = {
	"SDNext Merge": SDNextMerge,
	"VAE Merge": VAEMerge,

	"SD1 MBW Layers": SD1_MBWLayers,
	"SD1 MBW Layers Binary": SD1_MBWLayers_Binary,
	"SDXL MBW Layers": SDXL_MBWLayers,
	"SDXL MBW Layers Binary": SDXL_MBWLayers_Binary,
	"MBW Layers String": MBWLayers_String,

	"VAERepeat": VAERepeat,

	"ModelQuant": ModelQuant,
	"ClipQuant": ClipQuant,
	"VAEQuant": VAEQuant,
}

NODE_DISPLAY_NAME_MAPPINGS = {
	"SDNext Merge": "SDNext Merge",
	"VAE Merge": "VAE Merge",

 	"SD1 MBW Layers": "SD1 MBW Layers",
	"SD1 MBW Layers Binary": "SD1 MBW Layers Binary",
 	"SDXL MBW Layers": "SDXL MBW Layers",
	"SDXL MBW Layers Binary": "SDXL MBW Layers Binary",
 	"MBW Layers String": "MBW Layers String",

	"VAERepeat": "Repeat VAE",

	"ModelQuant": "ModelQuant",
	"ClipQuant": "ClipQuant",
	"VAEQuant": "VAEQuant",
}

__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS']