Instructions to use saik0s/comfy_backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use saik0s/comfy_backup with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="saik0s/comfy_backup",
	filename="ComfyUI/models/text_encoders/gemma-3-12b-it-q2_k.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 saik0s/comfy_backup 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 saik0s/comfy_backup:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf saik0s/comfy_backup:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf saik0s/comfy_backup:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf saik0s/comfy_backup:Q4_K_S

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 saik0s/comfy_backup:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf saik0s/comfy_backup:Q4_K_S

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 saik0s/comfy_backup:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf saik0s/comfy_backup:Q4_K_S

Use Docker

docker model run hf.co/saik0s/comfy_backup:Q4_K_S

LM Studio
Jan
Ollama
How to use saik0s/comfy_backup with Ollama:
```
ollama run hf.co/saik0s/comfy_backup:Q4_K_S
```

Unsloth Studio

How to use saik0s/comfy_backup 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 saik0s/comfy_backup 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 saik0s/comfy_backup to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for saik0s/comfy_backup to start chatting

How to use saik0s/comfy_backup with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf saik0s/comfy_backup:Q4_K_S

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": "saik0s/comfy_backup:Q4_K_S"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use saik0s/comfy_backup with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf saik0s/comfy_backup:Q4_K_S

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 saik0s/comfy_backup:Q4_K_S

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use saik0s/comfy_backup with Docker Model Runner:
```
docker model run hf.co/saik0s/comfy_backup:Q4_K_S
```

Lemonade

How to use saik0s/comfy_backup with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull saik0s/comfy_backup:Q4_K_S

Run and chat with the model

lemonade run user.comfy_backup-Q4_K_S

List all available models

lemonade list

comfy_backup / pyproject.toml

saik0s

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	[project]
	name = "ComfyUI"
	version = "0.24.0"
	readme = "README.md"
	license = { file = "LICENSE" }
	requires-python = ">=3.10"

	[project.urls]
	homepage = "https://www.comfy.org/"
	repository = "https://github.com/comfyanonymous/ComfyUI"
	documentation = "https://docs.comfy.org/"

	[tool.ruff]
	lint.select = [
	"N805", # invalid-first-argument-name-for-method
	"S307", # suspicious-eval-usage
	"S102", # exec
	"E",
	"T", # print-usage
	"W",
	# The "F" series in Ruff stands for "Pyflakes" rules, which catch various Python syntax errors and undefined names.
	# See all rules here: https://docs.astral.sh/ruff/rules/#pyflakes-f
	"F",
	]

	lint.ignore = ["E501", "E722", "E731", "E712", "E402", "E741"]

	exclude = [".ipynb", "/generated/.pyi"]

	[tool.pylint]
	master.py-version = "3.10"
	master.extension-pkg-allow-list = [
	"pydantic",
	]
	reports.output-format = "colorized"
	similarities.ignore-imports = "yes"
	messages_control.disable = [
	"missing-module-docstring",
	"missing-class-docstring",
	"missing-function-docstring",
	"line-too-long",
	"too-few-public-methods",
	"too-many-public-methods",
	"too-many-instance-attributes",
	"too-many-positional-arguments",
	"broad-exception-raised",
	"too-many-lines",
	"invalid-name",
	"unused-argument",
	"broad-exception-caught",
	"consider-using-with",
	"fixme",
	"too-many-statements",
	"too-many-branches",
	"too-many-locals",
	"too-many-arguments",
	"too-many-return-statements",
	"too-many-nested-blocks",
	"duplicate-code",
	"abstract-method",
	"superfluous-parens",
	"arguments-differ",
	"redefined-builtin",
	"unnecessary-lambda",
	"dangerous-default-value",
	"invalid-overridden-method",
	# next warnings should be fixed in future
	"bad-classmethod-argument", # Class method should have 'cls' as first argument
	"wrong-import-order", # Standard imports should be placed before third party imports
	"ungrouped-imports",
	"unnecessary-pass",
	"unnecessary-lambda-assignment",
	"no-else-return",
	"unused-variable",
	]