Instructions to use saik0s/comfy_backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
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
- Pi
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
File size: 4,298 Bytes
f1e06e5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 | import pytest
from comfy_execution.validation import validate_node_input
def test_exact_match():
"""Test cases where types match exactly"""
assert validate_node_input("STRING", "STRING")
assert validate_node_input("STRING,INT", "STRING,INT")
assert validate_node_input("INT,STRING", "STRING,INT") # Order shouldn't matter
def test_strict_mode():
"""Test strict mode validation"""
# Should pass - received type is subset of input type
assert validate_node_input("STRING", "STRING,INT", strict=True)
assert validate_node_input("INT", "STRING,INT", strict=True)
assert validate_node_input("STRING,INT", "STRING,INT,BOOLEAN", strict=True)
# Should fail - received type is not subset of input type
assert not validate_node_input("STRING,INT", "STRING", strict=True)
assert not validate_node_input("STRING,BOOLEAN", "STRING", strict=True)
assert not validate_node_input("INT,BOOLEAN", "STRING,INT", strict=True)
def test_non_strict_mode():
"""Test non-strict mode validation (default behavior)"""
# Should pass - types have overlap
assert validate_node_input("STRING,BOOLEAN", "STRING,INT")
assert validate_node_input("STRING,INT", "INT,BOOLEAN")
assert validate_node_input("STRING", "STRING,INT")
# Should fail - no overlap in types
assert not validate_node_input("BOOLEAN", "STRING,INT")
assert not validate_node_input("FLOAT", "STRING,INT")
assert not validate_node_input("FLOAT,BOOLEAN", "STRING,INT")
def test_whitespace_handling():
"""Test that whitespace is handled correctly"""
assert validate_node_input("STRING, INT", "STRING,INT")
assert validate_node_input("STRING,INT", "STRING, INT")
assert validate_node_input(" STRING , INT ", "STRING,INT")
assert validate_node_input("STRING,INT", " STRING , INT ")
def test_empty_strings():
"""Test behavior with empty strings"""
assert validate_node_input("", "")
assert not validate_node_input("STRING", "")
assert not validate_node_input("", "STRING")
def test_single_vs_multiple():
"""Test single type against multiple types"""
assert validate_node_input("STRING", "STRING,INT,BOOLEAN")
assert validate_node_input("STRING,INT,BOOLEAN", "STRING", strict=False)
assert not validate_node_input("STRING,INT,BOOLEAN", "STRING", strict=True)
def test_non_string():
"""Test non-string types"""
obj1 = object()
obj2 = object()
assert validate_node_input(obj1, obj1)
assert not validate_node_input(obj1, obj2)
class NotEqualsOverrideTest(str):
"""Test class for ``__ne__`` override."""
def __ne__(self, value: object) -> bool:
if self == "*" or value == "*":
return False
if self == "LONGER_THAN_2":
return not len(value) > 2
raise TypeError("This is a class for unit tests only.")
def test_ne_override():
"""Test ``__ne__`` any override"""
any = NotEqualsOverrideTest("*")
invalid_type = "INVALID_TYPE"
obj = object()
assert validate_node_input(any, any)
assert validate_node_input(any, invalid_type)
assert validate_node_input(any, obj)
assert validate_node_input(any, {})
assert validate_node_input(any, [])
assert validate_node_input(any, [1, 2, 3])
def test_ne_custom_override():
"""Test ``__ne__`` custom override"""
special = NotEqualsOverrideTest("LONGER_THAN_2")
assert validate_node_input(special, special)
assert validate_node_input(special, "*")
assert validate_node_input(special, "INVALID_TYPE")
assert validate_node_input(special, [1, 2, 3])
# Should fail
assert not validate_node_input(special, [1, 2])
assert not validate_node_input(special, "TY")
@pytest.mark.parametrize(
"received,input_type,strict,expected",
[
("STRING", "STRING", False, True),
("STRING,INT", "STRING,INT", False, True),
("STRING", "STRING,INT", True, True),
("STRING,INT", "STRING", True, False),
("BOOLEAN", "STRING,INT", False, False),
("STRING,BOOLEAN", "STRING,INT", False, True),
],
)
def test_parametrized_cases(received, input_type, strict, expected):
"""Parametrized test cases for various scenarios"""
assert validate_node_input(received, input_type, strict) == expected
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