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: 7,797 Bytes
4ed8e9f | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 | """Tests for feature flags functionality."""
import pytest
from comfy_api.feature_flags import (
get_connection_feature,
supports_feature,
get_server_features,
CLI_FEATURE_FLAG_REGISTRY,
SERVER_FEATURE_FLAGS,
_coerce_flag_value,
_parse_cli_feature_flags,
)
class TestFeatureFlags:
"""Test suite for feature flags functions."""
def test_get_server_features_returns_copy(self):
"""Test that get_server_features returns a copy of the server flags."""
features = get_server_features()
# Verify it's a copy by modifying it
features["test_flag"] = True
# Original should be unchanged
assert "test_flag" not in SERVER_FEATURE_FLAGS
def test_get_server_features_contains_expected_flags(self):
"""Test that server features contain expected flags."""
features = get_server_features()
assert "supports_preview_metadata" in features
assert features["supports_preview_metadata"] is True
assert "max_upload_size" in features
assert isinstance(features["max_upload_size"], (int, float))
def test_get_connection_feature_with_missing_sid(self):
"""Test getting feature for non-existent session ID."""
sockets_metadata = {}
result = get_connection_feature(sockets_metadata, "missing_sid", "some_feature")
assert result is False # Default value
def test_get_connection_feature_with_custom_default(self):
"""Test getting feature with custom default value."""
sockets_metadata = {}
result = get_connection_feature(
sockets_metadata, "missing_sid", "some_feature", default="custom_default"
)
assert result == "custom_default"
def test_get_connection_feature_with_feature_flags(self):
"""Test getting feature from connection with feature flags."""
sockets_metadata = {
"sid1": {
"feature_flags": {
"supports_preview_metadata": True,
"custom_feature": "value",
},
}
}
result = get_connection_feature(sockets_metadata, "sid1", "supports_preview_metadata")
assert result is True
result = get_connection_feature(sockets_metadata, "sid1", "custom_feature")
assert result == "value"
def test_get_connection_feature_missing_feature(self):
"""Test getting non-existent feature from connection."""
sockets_metadata = {
"sid1": {"feature_flags": {"existing_feature": True}}
}
result = get_connection_feature(sockets_metadata, "sid1", "missing_feature")
assert result is False
def test_supports_feature_returns_boolean(self):
"""Test that supports_feature always returns boolean."""
sockets_metadata = {
"sid1": {
"feature_flags": {
"bool_feature": True,
"string_feature": "value",
"none_feature": None,
},
}
}
# True boolean feature
assert supports_feature(sockets_metadata, "sid1", "bool_feature") is True
# Non-boolean values should return False
assert supports_feature(sockets_metadata, "sid1", "string_feature") is False
assert supports_feature(sockets_metadata, "sid1", "none_feature") is False
assert supports_feature(sockets_metadata, "sid1", "missing_feature") is False
def test_supports_feature_with_missing_connection(self):
"""Test supports_feature with missing connection."""
sockets_metadata = {}
assert supports_feature(sockets_metadata, "missing_sid", "any_feature") is False
def test_empty_feature_flags_dict(self):
"""Test connection with empty feature flags dictionary."""
sockets_metadata = {"sid1": {"feature_flags": {}}}
result = get_connection_feature(sockets_metadata, "sid1", "any_feature")
assert result is False
assert supports_feature(sockets_metadata, "sid1", "any_feature") is False
class TestCoerceFlagValue:
"""Test suite for _coerce_flag_value."""
def test_registered_bool_true(self):
assert _coerce_flag_value("show_signin_button", "true") is True
assert _coerce_flag_value("show_signin_button", "True") is True
def test_registered_bool_false(self):
assert _coerce_flag_value("show_signin_button", "false") is False
assert _coerce_flag_value("show_signin_button", "FALSE") is False
def test_unregistered_key_stays_string(self):
assert _coerce_flag_value("unknown_flag", "true") == "true"
assert _coerce_flag_value("unknown_flag", "42") == "42"
def test_bool_typo_raises(self):
"""Strict bool: typos like 'ture' or 'yes' must raise so the flag can be dropped."""
with pytest.raises(ValueError):
_coerce_flag_value("show_signin_button", "ture")
with pytest.raises(ValueError):
_coerce_flag_value("show_signin_button", "yes")
with pytest.raises(ValueError):
_coerce_flag_value("show_signin_button", "1")
with pytest.raises(ValueError):
_coerce_flag_value("show_signin_button", "")
def test_failed_int_coercion_raises(self, monkeypatch):
"""Malformed values for typed flags must raise; caller decides what to do."""
monkeypatch.setitem(
CLI_FEATURE_FLAG_REGISTRY,
"test_int_flag",
{"type": "int", "default": 0, "description": "test"},
)
with pytest.raises(ValueError):
_coerce_flag_value("test_int_flag", "not_a_number")
class TestParseCliFeatureFlags:
"""Test suite for _parse_cli_feature_flags."""
def test_single_flag(self, monkeypatch):
monkeypatch.setattr("comfy_api.feature_flags.args", type("Args", (), {"feature_flag": ["show_signin_button=true"]})())
result = _parse_cli_feature_flags()
assert result == {"show_signin_button": True}
def test_missing_equals_defaults_to_true(self, monkeypatch):
"""Bare flag without '=' is treated as the string 'true' (and coerced if registered)."""
monkeypatch.setattr("comfy_api.feature_flags.args", type("Args", (), {"feature_flag": ["show_signin_button", "valid=1"]})())
result = _parse_cli_feature_flags()
assert result == {"show_signin_button": True, "valid": "1"}
def test_empty_key_skipped(self, monkeypatch):
monkeypatch.setattr("comfy_api.feature_flags.args", type("Args", (), {"feature_flag": ["=value", "valid=1"]})())
result = _parse_cli_feature_flags()
assert result == {"valid": "1"}
def test_invalid_bool_value_dropped(self, monkeypatch, caplog):
"""A typo'd bool value must be dropped entirely, not silently set to False
and not stored as a raw string. A warning must be logged."""
monkeypatch.setattr(
"comfy_api.feature_flags.args",
type("Args", (), {"feature_flag": ["show_signin_button=ture", "valid=1"]})(),
)
with caplog.at_level("WARNING"):
result = _parse_cli_feature_flags()
assert result == {"valid": "1"}
assert "show_signin_button" not in result
assert any("show_signin_button" in r.message and "drop" in r.message.lower() for r in caplog.records)
class TestCliFeatureFlagRegistry:
"""Test suite for the CLI feature flag registry."""
def test_registry_entries_have_required_fields(self):
for key, info in CLI_FEATURE_FLAG_REGISTRY.items():
assert "type" in info, f"{key} missing 'type'"
assert "default" in info, f"{key} missing 'default'"
assert "description" in info, f"{key} missing 'description'"
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