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: 5,141 Bytes
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from aiohttp import web
from unittest.mock import patch
from app.custom_node_manager import CustomNodeManager
import json
pytestmark = (
pytest.mark.asyncio
) # This applies the asyncio mark to all test functions in the module
@pytest.fixture
def custom_node_manager():
return CustomNodeManager()
@pytest.fixture
def app(custom_node_manager):
app = web.Application()
routes = web.RouteTableDef()
custom_node_manager.add_routes(
routes, app, [("ComfyUI-TestExtension1", "ComfyUI-TestExtension1")]
)
app.add_routes(routes)
return app
async def test_get_workflow_templates(aiohttp_client, app, tmp_path):
client = await aiohttp_client(app)
# Setup temporary custom nodes file structure with 1 workflow file
custom_nodes_dir = tmp_path / "custom_nodes"
example_workflows_dir = (
custom_nodes_dir / "ComfyUI-TestExtension1" / "example_workflows"
)
example_workflows_dir.mkdir(parents=True)
template_file = example_workflows_dir / "workflow1.json"
template_file.write_text("")
with patch(
"folder_paths.folder_names_and_paths",
{"custom_nodes": ([str(custom_nodes_dir)], None)},
):
response = await client.get("/workflow_templates")
assert response.status == 200
workflows_dict = await response.json()
assert isinstance(workflows_dict, dict)
assert "ComfyUI-TestExtension1" in workflows_dict
assert isinstance(workflows_dict["ComfyUI-TestExtension1"], list)
assert workflows_dict["ComfyUI-TestExtension1"][0] == "workflow1"
async def test_build_translations_empty_when_no_locales(custom_node_manager, tmp_path):
custom_nodes_dir = tmp_path / "custom_nodes"
custom_nodes_dir.mkdir(parents=True)
with patch("folder_paths.get_folder_paths", return_value=[str(custom_nodes_dir)]):
translations = custom_node_manager.build_translations()
assert translations == {}
async def test_build_translations_loads_all_files(custom_node_manager, tmp_path):
# Setup test directory structure
custom_nodes_dir = tmp_path / "custom_nodes" / "test-extension"
locales_dir = custom_nodes_dir / "locales" / "en"
locales_dir.mkdir(parents=True)
# Create test translation files
main_content = {"title": "Test Extension"}
(locales_dir / "main.json").write_text(json.dumps(main_content))
node_defs = {"node1": "Node 1"}
(locales_dir / "nodeDefs.json").write_text(json.dumps(node_defs))
commands = {"cmd1": "Command 1"}
(locales_dir / "commands.json").write_text(json.dumps(commands))
settings = {"setting1": "Setting 1"}
(locales_dir / "settings.json").write_text(json.dumps(settings))
with patch(
"folder_paths.get_folder_paths", return_value=[tmp_path / "custom_nodes"]
):
translations = custom_node_manager.build_translations()
assert translations == {
"en": {
"title": "Test Extension",
"nodeDefs": {"node1": "Node 1"},
"commands": {"cmd1": "Command 1"},
"settings": {"setting1": "Setting 1"},
}
}
async def test_build_translations_handles_invalid_json(custom_node_manager, tmp_path):
# Setup test directory structure
custom_nodes_dir = tmp_path / "custom_nodes" / "test-extension"
locales_dir = custom_nodes_dir / "locales" / "en"
locales_dir.mkdir(parents=True)
# Create valid main.json
main_content = {"title": "Test Extension"}
(locales_dir / "main.json").write_text(json.dumps(main_content))
# Create invalid JSON file
(locales_dir / "nodeDefs.json").write_text("invalid json{")
with patch(
"folder_paths.get_folder_paths", return_value=[tmp_path / "custom_nodes"]
):
translations = custom_node_manager.build_translations()
assert translations == {
"en": {
"title": "Test Extension",
}
}
async def test_build_translations_merges_multiple_extensions(
custom_node_manager, tmp_path
):
# Setup test directory structure for two extensions
custom_nodes_dir = tmp_path / "custom_nodes"
ext1_dir = custom_nodes_dir / "extension1" / "locales" / "en"
ext2_dir = custom_nodes_dir / "extension2" / "locales" / "en"
ext1_dir.mkdir(parents=True)
ext2_dir.mkdir(parents=True)
# Create translation files for extension 1
ext1_main = {"title": "Extension 1", "shared": "Original"}
(ext1_dir / "main.json").write_text(json.dumps(ext1_main))
# Create translation files for extension 2
ext2_main = {"description": "Extension 2", "shared": "Override"}
(ext2_dir / "main.json").write_text(json.dumps(ext2_main))
with patch("folder_paths.get_folder_paths", return_value=[str(custom_nodes_dir)]):
translations = custom_node_manager.build_translations()
assert translations == {
"en": {
"title": "Extension 1",
"description": "Extension 2",
"shared": "Override", # Second extension should override first
}
}
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