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: 7,308 Bytes
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import { $el, ComfyDialog } from "../../../scripts/ui.js";
// Allows you to specify custom default values for any widget on any node
const id = "pysssss.WidgetDefaults";
const nodeDataKey = Symbol();
app.registerExtension({
name: id,
beforeRegisterNodeDef(nodeType, nodeData) {
nodeType[nodeDataKey] = nodeData;
},
setup() {
let defaults;
let regexDefaults;
let setting;
const getNodeDefaults = (node, defaults) => {
const nodeDefaults = defaults[node.type] ?? {};
const propSetBy = {};
Object.keys(regexDefaults)
.filter((r) => new RegExp(r).test(node.type))
.reduce((p, n) => {
const props = regexDefaults[n];
for (const k in props) {
// Use the longest matching key as its probably the most specific
if (!(k in nodeDefaults) || (k in propSetBy && n.length > propSetBy[k].length)) {
propSetBy[k] = n;
nodeDefaults[k] = props[k];
}
}
return p;
}, nodeDefaults);
return nodeDefaults;
};
const applyDefaults = (defaults) => {
for (const node of Object.values(LiteGraph.registered_node_types)) {
const nodeData = node[nodeDataKey];
if (!nodeData) continue;
const nodeDefaults = getNodeDefaults(node, defaults);
if (!nodeDefaults) continue;
const inputs = { ...(nodeData.input?.required || {}), ...(nodeData.input?.optional || {}) };
for (const w in nodeDefaults) {
const widgetDef = inputs[w];
if (widgetDef) {
let v = nodeDefaults[w];
if (widgetDef[0] === "INT" || widgetDef[0] === "FLOAT") {
v = +v;
}
if (widgetDef[1]) {
widgetDef[1].default = v;
} else {
widgetDef[1] = { default: v };
}
}
}
}
};
const getDefaults = () => {
let items;
regexDefaults = {};
try {
items = JSON.parse(setting.value);
items = items.reduce((p, n) => {
if (n.node.startsWith("/") && n.node.endsWith("/")) {
const name = n.node.substring(1, n.node.length - 1);
try {
// Validate regex
new RegExp(name);
if (!regexDefaults[name]) regexDefaults[name] = {};
regexDefaults[name][n.widget] = n.value;
} catch (error) {}
}
if (!p[n.node]) p[n.node] = {};
p[n.node][n.widget] = n.value;
return p;
}, {});
} catch (error) {}
if (!items) {
items = {};
}
applyDefaults(items);
return items;
};
const onNodeAdded = app.graph.onNodeAdded;
app.graph.onNodeAdded = function (node) {
onNodeAdded?.apply?.(this, arguments);
// See if we have any defaults for this type of node
const nodeDefaults = getNodeDefaults(node.constructor, defaults);
if (!nodeDefaults) return;
// Dont run if they are pre-configured nodes from load/pastes
const stack = new Error().stack;
if (stack.includes("pasteFromClipboard") || stack.includes("loadGraphData")) {
return;
}
for (const k in nodeDefaults) {
if (k.startsWith("property.")) {
const name = k.substring(9);
let v = nodeDefaults[k];
// Special handling for some built in values
if (name in node || ["color", "bgcolor", "title"].includes(name)) {
node[name] = v;
} else {
// Try using the correct type
if (!node.properties) node.properties = {};
if (typeof node.properties[name] === "number") v = +v;
else if (typeof node.properties[name] === "boolean") v = v === "true";
else if (v === "true") v = true;
node.properties[name] = v;
}
}
}
};
class WidgetDefaultsDialog extends ComfyDialog {
constructor() {
super();
this.element.classList.add("comfy-manage-templates");
this.grid = $el(
"div",
{
style: {
display: "grid",
gridTemplateColumns: "1fr auto auto auto",
gap: "5px",
},
className: "pysssss-widget-defaults",
},
[
$el("label", {
textContent: "Node Class",
}),
$el("label", {
textContent: "Widget Name",
}),
$el("label", {
textContent: "Default Value",
}),
$el("label"),
(this.rows = $el("div", {
style: {
display: "contents",
},
})),
]
);
}
createButtons() {
const btns = super.createButtons();
btns[0].textContent = "Cancel";
btns.unshift(
$el("button", {
type: "button",
textContent: "Add New",
onclick: () => this.addRow(),
}),
$el("button", {
type: "button",
textContent: "Save",
onclick: () => this.save(),
})
);
return btns;
}
addRow(node = "", widget = "", value = "") {
let nameInput;
this.rows.append(
$el(
"div",
{
style: {
display: "contents",
},
className: "pysssss-widget-defaults-row",
},
[
$el("input", {
placeholder: "e.g. CheckpointLoaderSimple",
value: node,
}),
$el("input", {
placeholder: "e.g. ckpt_name",
value: widget,
$: (el) => (nameInput = el),
}),
$el("input", {
placeholder: "e.g. myBestModel.safetensors",
value,
}),
$el("button", {
textContent: "Delete",
style: {
fontSize: "12px",
color: "red",
fontWeight: "normal",
},
onclick: (e) => {
nameInput.value = "";
e.target.parentElement.style.display = "none";
},
}),
]
)
);
}
save() {
const rows = this.rows.children;
const items = [];
for (const row of rows) {
const inputs = row.querySelectorAll("input");
const node = inputs[0].value.trim();
const widget = inputs[1].value.trim();
const value = inputs[2].value;
if (node && widget) {
items.push({ node, widget, value });
}
}
setting.value = JSON.stringify(items);
defaults = getDefaults();
this.close();
}
show() {
this.rows.replaceChildren();
for (const nodeName in defaults) {
const node = defaults[nodeName];
for (const widgetName in node) {
this.addRow(nodeName, widgetName, node[widgetName]);
}
}
this.addRow();
super.show(this.grid);
}
}
setting = app.ui.settings.addSetting({
id,
name: "🐍 Widget Defaults",
type: () => {
return $el("tr", [
$el("td", [
$el("label", {
for: id.replaceAll(".", "-"),
textContent: "🐍 Widget & Property Defaults:",
}),
]),
$el("td", [
$el("button", {
textContent: "Manage",
onclick: () => {
try {
// Try closing old settings window
if (typeof app.ui.settings.element?.close === "function") {
app.ui.settings.element.close();
}
} catch (error) {}
try {
// Try closing new vue dialog
document.querySelector(".p-dialog-close-button").click();
} catch (error) {
// Fallback to just hiding the element
app.ui.settings.element.style.display = "none";
}
const dialog = new WidgetDefaultsDialog();
dialog.show();
},
style: {
fontSize: "14px",
},
}),
]),
]);
},
});
defaults = getDefaults();
},
});
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