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: 3,906 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 | """Tests for NodeReplaceManager registration behavior."""
import importlib
import sys
import types
import pytest
@pytest.fixture
def NodeReplaceManager(monkeypatch):
"""Provide NodeReplaceManager with `nodes` stubbed.
`app.node_replace_manager` does `import nodes` at module level, which pulls in
torch + the full ComfyUI graph. register() doesn't actually need it, so we
stub `nodes` per-test (via monkeypatch so it's torn down) and reload the
module so it picks up the stub instead of any cached real import.
"""
fake_nodes = types.ModuleType("nodes")
fake_nodes.NODE_CLASS_MAPPINGS = {}
monkeypatch.setitem(sys.modules, "nodes", fake_nodes)
monkeypatch.delitem(sys.modules, "app.node_replace_manager", raising=False)
module = importlib.import_module("app.node_replace_manager")
yield module.NodeReplaceManager
# Drop the freshly-imported module so the next test (or a later real import
# of `nodes`) starts from a clean slate.
sys.modules.pop("app.node_replace_manager", None)
class FakeNodeReplace:
"""Lightweight stand-in for comfy_api.latest._io.NodeReplace."""
def __init__(self, new_node_id, old_node_id, old_widget_ids=None,
input_mapping=None, output_mapping=None):
self.new_node_id = new_node_id
self.old_node_id = old_node_id
self.old_widget_ids = old_widget_ids
self.input_mapping = input_mapping
self.output_mapping = output_mapping
def test_register_adds_replacement(NodeReplaceManager):
manager = NodeReplaceManager()
manager.register(FakeNodeReplace(new_node_id="NewNode", old_node_id="OldNode"))
assert manager.has_replacement("OldNode")
assert len(manager.get_replacement("OldNode")) == 1
def test_register_allows_multiple_alternatives_for_same_old_node(NodeReplaceManager):
"""Different new_node_ids for the same old_node_id should all be kept."""
manager = NodeReplaceManager()
manager.register(FakeNodeReplace(new_node_id="AltA", old_node_id="OldNode"))
manager.register(FakeNodeReplace(new_node_id="AltB", old_node_id="OldNode"))
replacements = manager.get_replacement("OldNode")
assert len(replacements) == 2
assert {r.new_node_id for r in replacements} == {"AltA", "AltB"}
def test_register_is_idempotent_for_duplicate_pair(NodeReplaceManager):
"""Re-registering the same (old_node_id, new_node_id) should be a no-op."""
manager = NodeReplaceManager()
manager.register(FakeNodeReplace(new_node_id="NewNode", old_node_id="OldNode"))
manager.register(FakeNodeReplace(new_node_id="NewNode", old_node_id="OldNode"))
manager.register(FakeNodeReplace(new_node_id="NewNode", old_node_id="OldNode"))
assert len(manager.get_replacement("OldNode")) == 1
def test_register_idempotent_preserves_first_registration(NodeReplaceManager):
"""First registration wins; later duplicates with different mappings are ignored."""
manager = NodeReplaceManager()
first = FakeNodeReplace(
new_node_id="NewNode", old_node_id="OldNode",
input_mapping=[{"new_id": "a", "old_id": "x"}],
)
second = FakeNodeReplace(
new_node_id="NewNode", old_node_id="OldNode",
input_mapping=[{"new_id": "b", "old_id": "y"}],
)
manager.register(first)
manager.register(second)
replacements = manager.get_replacement("OldNode")
assert len(replacements) == 1
assert replacements[0] is first
def test_register_dedupe_does_not_affect_other_old_nodes(NodeReplaceManager):
manager = NodeReplaceManager()
manager.register(FakeNodeReplace(new_node_id="NewA", old_node_id="OldA"))
manager.register(FakeNodeReplace(new_node_id="NewA", old_node_id="OldA"))
manager.register(FakeNodeReplace(new_node_id="NewB", old_node_id="OldB"))
assert len(manager.get_replacement("OldA")) == 1
assert len(manager.get_replacement("OldB")) == 1
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