Instructions to use 45th/comfyui-model-pack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 45th/comfyui-model-pack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("45th/comfyui-model-pack", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use 45th/comfyui-model-pack 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 45th/comfyui-model-pack # Run inference directly in the terminal: llama cli -hf 45th/comfyui-model-pack
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf 45th/comfyui-model-pack # Run inference directly in the terminal: llama cli -hf 45th/comfyui-model-pack
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf 45th/comfyui-model-pack # Run inference directly in the terminal: ./build/bin/llama cli -hf 45th/comfyui-model-pack
Use Docker
docker model run hf.co/45th/comfyui-model-pack
- Llama new
- LM Studio
- Jan
- Ollama
How to use 45th/comfyui-model-pack with Ollama:
ollama run hf.co/45th/comfyui-model-pack
- Unsloth Desktop
- Pi
How to use 45th/comfyui-model-pack with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf 45th/comfyui-model-pack
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "45th/comfyui-model-pack" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use 45th/comfyui-model-pack with Docker Model Runner:
docker model run hf.co/45th/comfyui-model-pack
- Lemonade
How to use 45th/comfyui-model-pack with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull 45th/comfyui-model-pack
Run and chat with the model
lemonade run user.comfyui-model-pack-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use 45th/comfyui-model-pack with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf 45th/comfyui-model-pack
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 45th/comfyui-model-pack
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use 45th/comfyui-model-pack with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf 45th/comfyui-model-pack
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "45th/comfyui-model-pack" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
File size: 41,993 Bytes
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// Eses Image Effect Levels
// ==========================================================================
//
// Description:
// The 'Eses Image Effect Levels' node provides a versatile, image editor style
// levels adjustment tool directly within the ComfyUI interface. It allows for
// precise, interactive control over the tonal range of images and masks,
// complete with a live histogram for visual feedback.
//
// Key Features:
//
// - Interactive Controls:
// - An interactive preview of the level adjustments in the node.
// - Features sliders for input Black, Mid, and White points, as well as
// sliders for the final Output Black and White points.
// - A live histogram visualizes the tonal distribution of the selected
// channel.
//
// - Multi-Channel Adjustments:
// - Apply level adjustments to the combined RGB channels for general
// corrections.
// - Isolate adjustments to the individual Red, Green, or Blue channels.
// - Apply a separate level adjustment directly to an input mask.
//
// - State Serialization:
// - All level adjustments are saved with the workflow and restored on
// reload.
// - The node's state persists after refreshing the browser page.
//
// - Live Preview:
// - The node displays a preview of the connected image with the level
// adjustments applied in real-time as you move the sliders.
//
// - Quality of Life Features:
// - "Set Auto Levels" button to automatically calculate optimal
// input levels.
// - A simple file-based preset system for saving and loading adjustment
// presets
// - "Reset" buttons to revert the current channel or all channels to
// default values.
// - Adjustable auto levels sensitivity for fine-tuned automatic adjustments.
//
// Version: 1.3.2
//
// License: See LICENSE.txt
//
// ==========================================================================
import { app } from "/scripts/app.js";
import { api } from "/scripts/api.js";
const HEADER_HEIGHT = 445;
const PADDING = 10;
const HISTOGRAM_AREA_HEIGHT = 40;
const AREA_SPACING = 8;
const SLIDER_BOX_HEIGHT = 15;
const OUTPUT_SLIDER_AREA_HEIGHT = 20;
// --- PRESET HANDLING START ---
// Global cache for presets to avoid
// fetching them for every single node
let allPresets = null;
async function getPresets() {
if (allPresets === null) {
try {
const response = await api.fetchApi("/eses_levels/get_presets", { cache: "no-store" });
allPresets = await response.json();
//console.log("[EsesImageEffectLevels] Presets loaded:", allPresets);
}
catch (e) {
//console.error("[EsesImageEffectLevels] Failed to load presets:", e);
allPresets = {};
}
}
return allPresets;
}
// Pre-fetch presets when the script is loaded
getPresets();
// --- PRESET HANDLING END ---
app.registerExtension({
name: "Eses.EsesImageEffectLevels",
// --- PRESET HANDLING START ---
async beforeRegisterNodeDef(nodeType, nodeData, app) {
// Runs once when the node definition is being registered.
// Dynamically add the preset names to the combo box definition.
if (nodeData.name === "EsesImageEffectLevels") {
const presets = await getPresets();
const presetNames = ["None", ...Object.keys(presets)];
// Find the 'preset' input in the node's
// definition and update its options
const presetInput = nodeData.input.required.preset;
if (presetInput) {
presetInput[0] = presetNames;
}
}
},
// --- PRESET HANDLING END ---
nodeCreated(node) {
if (node.comfyClass === "EsesImageEffectLevels") {
const originalConfigure = node.configure;
const originalSerialize = node.serialize;
node.size = [256, 575];
node.imagePreview = null;
node.originalImage = null;
node.originalMask = null;
node.isManuallyResized = false;
node.dragging = null;
node.resetButtonState = 'idle';
// Add state for auto color button
node.autoColorButtonState = 'idle';
node.onResize = function () { this.isManuallyResized = true; };
const defaultLevels = () => ({ black_point: 0.0, white_point: 1.0, mid_point: 1.0, output_black: 0, output_white: 255 });
const resetAllLevels = () => ({ rgb: defaultLevels(), r: defaultLevels(), g: defaultLevels(), b: defaultLevels(), mask: defaultLevels() });
node.allLevels = resetAllLevels();
node.histograms = {};
let blackWidget, midWidget, whiteWidget, outputBlackWidget, outputWhiteWidget;
function updateWidgetsFromState() {
const levels = node.allLevels[node.activeChannel];
if (!levels)
return;
if (blackWidget)
blackWidget.value = parseFloat(levels.black_point.toFixed(2));
if (midWidget)
midWidget.value = parseFloat(levels.mid_point.toFixed(2));
if (whiteWidget)
whiteWidget.value = parseFloat(levels.white_point.toFixed(2));
if (outputBlackWidget)
outputBlackWidget.value = Math.round(levels.output_black);
if (outputWhiteWidget)
outputWhiteWidget.value = Math.round(levels.output_white);
}
node.getResetButtonName = (isConfirm = false) => {
const channelWidget = node.widgets.find(w => w.name === "channel");
if (node.activeChannel === 'rgb')
return isConfirm ? "CONFIRM RESET ALL" : "Reset All Levels";
const channelName = channelWidget.value;
return isConfirm ? `CONFIRM RESET ${channelName}` : `Reset ${channelName} Level`;
};
node.resetButtonCallback = function () {
const resetButton = node.widgets.find(w => w.name.startsWith("Reset") || w.name.startsWith("CONFIRM"));
if (node.resetButtonState === 'armed') {
clearTimeout(node.resetTimeout);
if (node.activeChannel === 'rgb') {
node.allLevels = resetAllLevels();
}
else {
node.allLevels[node.activeChannel] = defaultLevels();
}
updateWidgetsFromState();
node.sendLevelUpdateToPython();
resetButton.name = node.getResetButtonName();
node.resetButtonState = 'idle';
}
else {
node.resetButtonState = 'armed';
resetButton.name = node.getResetButtonName(true);
node.resetTimeout = setTimeout(() => {
resetButton.name = node.getResetButtonName();
node.resetButtonState = 'idle';
app.graph.setDirtyCanvas(true);
}, 3000);
}
app.graph.setDirtyCanvas(true);
};
function setupCustomWidgets() {
const levelsWidget = node.widgets.find(w => w.name === "all_levels_json");
const channelWidget = node.widgets.find(w => w.name === "channel");
// Hide the boolean widgets that are only used for triggering
const autoLevelsWidget = node.widgets.find(w => w.name === "auto_levels");
const autoColorWidget = node.widgets.find(w => w.name === "auto_color");
if (!levelsWidget || !channelWidget)
return;
levelsWidget.type = "hidden";
if (levelsWidget.element) {
levelsWidget.element.style.display = "none";
}
if (autoLevelsWidget) {
autoLevelsWidget.type = "hidden";
if (autoLevelsWidget.element) {
autoLevelsWidget.element.style.display = "none";
}
}
if (autoColorWidget) {
autoColorWidget.type = "hidden";
if (autoColorWidget.element) {
autoColorWidget.element.style.display = "none";
}
}
const channelMap = { "RGB": "rgb", "Red": "r", "Green": "g", "Blue": "b", "Mask": "mask" };
node.activeChannel = channelMap[channelWidget.value] || "rgb";
if (!node.widgets.find(w => w.name === "Black")) {
blackWidget = node.addWidget("number", "Black", 0.0, (val) => {
if (node.allLevels[node.activeChannel]) {
node.allLevels[node.activeChannel].black_point = val;
node.sendLevelUpdateToPython();
}
}, { min: 0.0, max: 1.0, step: 0.01, precision: 2 });
midWidget = node.addWidget("number", "Mid", 1.0, (val) => {
if (node.allLevels[node.activeChannel]) {
node.allLevels[node.activeChannel].mid_point = val;
node.sendLevelUpdateToPython();
}
}, { min: 0.01, max: 9.99, step: 0.01, precision: 2 });
whiteWidget = node.addWidget("number", "White", 1.0, (val) => {
if (node.allLevels[node.activeChannel]) {
node.allLevels[node.activeChannel].white_point = val;
node.sendLevelUpdateToPython();
}
}, { min: 0.0, max: 1.0, step: 0.01, precision: 2 });
outputBlackWidget = node.addWidget("number", "Output Black", 0, (val) => {
if (node.allLevels[node.activeChannel]) {
node.allLevels[node.activeChannel].output_black = val;
node.sendLevelUpdateToPython();
}
}, { min: 0, max: 255, step: 1, precision: 0 });
outputWhiteWidget = node.addWidget("number", "Output White", 255, (val) => {
if (node.allLevels[node.activeChannel]) {
node.allLevels[node.activeChannel].output_white = val;
node.sendLevelUpdateToPython();
}
}, { min: 0, max: 255, step: 1, precision: 0 });
}
else {
blackWidget = node.widgets.find(w => w.name === "Black");
midWidget = node.widgets.find(w => w.name === "Mid");
whiteWidget = node.widgets.find(w => w.name === "White");
outputBlackWidget = node.widgets.find(w => w.name === "Output Black");
outputWhiteWidget = node.widgets.find(w => w.name === "Output White");
}
// --- PRESET HANDLING START ---
// Remove old "Copy Settings" button if it exists
const copySettingsButton = node.widgets.find(w => w.name === "Copy Settings");
if (copySettingsButton)
node.widgets.splice(node.widgets.indexOf(copySettingsButton), 1);
// Add "Preset Name" text field and "Save Preset" button
if (!node.widgets.find(w => w.name === "Preset Name")) {
const presetNameWidget = node.addWidget("string", "Preset Name", "", () => { }, {});
node.addWidget("button", "Save Preset", null, async () => {
const name = presetNameWidget.value;
if (!name || !name.trim()) {
alert("Please enter a preset name.");
return;
}
try {
const resp = await api.fetchApi("/eses_levels/save_preset", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
preset_name: name,
preset_data: node.allLevels,
}),
});
const res = await resp.json();
if (res.success) {
alert(`Preset '${name}' saved successfully!`);
// Refresh the presets in the dropdown
allPresets = res.presets;
const presetWidget = node.widgets.find(w => w.name === "preset");
if (presetWidget) {
presetWidget.options.values = ["None", ...Object.keys(allPresets)];
presetWidget.value = name;
}
presetNameWidget.value = "";
}
else {
alert(`Error saving preset: ${res.message}`);
}
}
catch (e) {
console.error("[EsesImageEffectLevels] Error saving preset:", e);
alert(`An error occurred: ${e}`);
}
});
}
const presetWidget = node.widgets.find(w => w.name === "preset");
if (presetWidget) {
presetWidget.callback = async (value) => {
if (value === "None")
return;
const presets = await getPresets();
const selectedPreset = presets[value];
if (selectedPreset) {
// Create a fresh default state
const newLevels = resetAllLevels();
const loadedLevels = JSON.parse(JSON.stringify(selectedPreset));
// Deep merge the loaded preset into the default state.
// This ensures compatibility with older presets.
for (const channelKey in newLevels) {
if (loadedLevels[channelKey]) {
Object.assign(newLevels[channelKey], loadedLevels[channelKey]);
}
}
node.allLevels = newLevels;
updateWidgetsFromState();
node.sendLevelUpdateToPython();
node.setDirtyCanvas(true, true);
}
};
}
// --- PRESET HANDLING END ---
if (!node.widgets.find(w => w.name === "Set Auto Levels")) {
node.addWidget("button", "Set Auto Levels", null, () => {
const autoLevelsWidget = node.widgets.find(w => w.name === "auto_levels");
if (autoLevelsWidget) {
const originalValue = autoLevelsWidget.value;
autoLevelsWidget.value = true;
app.queuePrompt();
setTimeout(() => { autoLevelsWidget.value = originalValue; }, 100);
}
});
}
// Add "Set Auto Color" button
if (!node.widgets.find(w => w.name === "Set Auto Color")) {
node.addWidget("button", "Set Auto Color", null, () => {
const autoColorWidget = node.widgets.find(w => w.name === "auto_color");
if (autoColorWidget) {
const originalValue = autoColorWidget.value;
autoColorWidget.value = true;
app.queuePrompt();
// Reset the value back to false after a short delay
setTimeout(() => { autoColorWidget.value = originalValue; }, 100);
}
});
}
const oldResetBtn = node.widgets.find(w => w && w.name && (w.name.startsWith("Reset") || w.name.startsWith("CONFIRM")));
if (oldResetBtn)
node.widgets.splice(node.widgets.indexOf(oldResetBtn), 1);
const resetButton = node.addWidget("button", node.getResetButtonName(), null, node.resetButtonCallback.bind(node));
channelWidget.callback = (value) => {
node.activeChannel = channelMap[value] || "rgb";
resetButton.name = node.getResetButtonName();
updateWidgetsFromState();
node.updateHistogram();
node.sendLevelUpdateToPython();
};
}
node.configure = function (data) {
originalConfigure.apply(this, arguments);
if (data.custom_all_levels) {
this.allLevels = data.custom_all_levels;
}
setupCustomWidgets();
updateWidgetsFromState();
};
node.serialize = function () {
const data = originalSerialize.call(this);
data.custom_all_levels = node.allLevels;
return data;
};
setupCustomWidgets();
Object.assign(node, {
getImageArea: function () {
const interactiveHeight = HISTOGRAM_AREA_HEIGHT + OUTPUT_SLIDER_AREA_HEIGHT + AREA_SPACING;
// Moved image top edge down by the
// amount increased by HEADER_HEIGHT
const totalContentHeight = this.size[1] - HEADER_HEIGHT - PADDING * 2;
const imageAreaHeight = totalContentHeight - interactiveHeight;
if (imageAreaHeight < 10)
return null;
return { x: PADDING, y: HEADER_HEIGHT + PADDING, width: this.size[0] - PADDING * 2, height: imageAreaHeight };
},
getBarArea: function () {
const imageArea = this.getImageArea();
if (!imageArea)
return null;
const barAreaHeight = HISTOGRAM_AREA_HEIGHT - SLIDER_BOX_HEIGHT - 4;
return { x: PADDING, y: imageArea.y + imageArea.height + AREA_SPACING, width: this.size[0] - PADDING * 2, height: barAreaHeight };
},
getInputSliderArea: function () {
const barArea = this.getBarArea();
if (!barArea)
return null;
return { x: PADDING, y: barArea.y + barArea.height + 4, width: this.size[0] - PADDING * 2, height: SLIDER_BOX_HEIGHT };
},
getOutputSliderArea: function () {
const inputSliderArea = this.getInputSliderArea();
if (!inputSliderArea)
return null;
return { x: PADDING, y: inputSliderArea.y + inputSliderArea.height + AREA_SPACING, width: this.size[0] - PADDING * 2, height: SLIDER_BOX_HEIGHT };
},
updateHistogram: async function () {
const channelWidget = node.widgets.find(w => w.name === "channel");
let base_data_image = (this.activeChannel === 'mask') ? this.originalMask : this.originalImage;
if (!base_data_image)
return;
this.histograms[this.activeChannel] = null;
const canvas = document.createElement('canvas');
canvas.width = base_data_image.naturalWidth;
canvas.height = base_data_image.naturalHeight;
canvas.getContext('2d').drawImage(base_data_image, 0, 0);
const base_data_b64 = canvas.toDataURL('image/png').split(',')[1];
try {
const result = await api.fetchApi("/eses_levels/get_histogram", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ base_data_b64, channel_mode: channelWidget.value }) }).then(r => r.json());
if (result.histogram) {
this.histograms[this.activeChannel] = result.histogram;
this.setDirtyCanvas(true, true);
}
}
catch (err) {
console.error("Failed to fetch histogram:", err);
}
},
sendLevelUpdateToPython: async function () {
this.setDirtyCanvas(true, true);
const levelsWidget = this.widgets.find(w => w.name === "all_levels_json");
if (!levelsWidget)
return;
levelsWidget.value = JSON.stringify(this.allLevels);
let base_data_type, base_data_image;
if (this.activeChannel === 'mask') {
if (!this.originalMask) {
this.imagePreview = null; this.setDirtyCanvas(true, true); return;
}
base_data_type = 'mask';
base_data_image = this.originalMask;
}
else {
if (!this.originalImage) {
this.imagePreview = null; this.setDirtyCanvas(true, true); return;
}
base_data_type = 'image';
base_data_image = this.originalImage;
}
const canvas = document.createElement('canvas');
canvas.width = base_data_image.naturalWidth;
canvas.height = base_data_image.naturalHeight;
canvas.getContext('2d').drawImage(base_data_image, 0, 0);
const base_data_b64 = canvas.toDataURL('image/png').split(',')[1];
const body = {
base_data_b64,
all_levels_json: levelsWidget.value,
base_data_type
};
try {
const result = await api.fetchApi("/eses_levels/apply", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify(body) }).then(r => r.json());
if (result.adjusted_image_data) {
const img = new Image();
img.src = `data:image/png;base64,${result.adjusted_image_data}`;
img.onload = () => {
this.imagePreview = img; this.setDirtyCanvas(true, true);
};
}
}
catch (err) { }
},
drawHistogram: function (ctx, area, data, step = 1) {
if (!data || data.length === 0)
return;
step = Math.max(1, Math.floor(step));
ctx.fillStyle = "#999";
const baseBarWidth = area.width / 256;
for (let i = 0; i < 256; i += step) {
const chunk = data.slice(i, i + step);
if (chunk.length === 0)
continue;
const maxVal = Math.max(...chunk);
const barHeight = maxVal * area.height;
const barWidth = baseBarWidth * chunk.length;
const x = area.x + i * baseBarWidth;
ctx.fillRect(x, area.y + area.height - barHeight, barWidth, barHeight);
}
},
drawHandle: function (ctx, x, y, size, color, strokeColor) {
ctx.fillStyle = color;
ctx.strokeStyle = strokeColor;
ctx.lineWidth = 1;
ctx.beginPath();
ctx.moveTo(x, y);
ctx.lineTo(x - size, y + size * 2);
ctx.lineTo(x + size, y + size * 2);
ctx.closePath();
ctx.fill();
ctx.stroke();
},
onDrawForeground: function (ctx) {
if (this.flags?.collapsed)
return;
const imageArea = this.getImageArea();
const barArea = this.getBarArea();
const inputSliderArea = this.getInputSliderArea();
const outputSliderArea = this.getOutputSliderArea();
if (!imageArea || !barArea || !inputSliderArea || !outputSliderArea)
return;
if (this.imagePreview) {
ctx.drawImage(this.imagePreview, imageArea.x, imageArea.y, imageArea.width, imageArea.height);
}
else {
ctx.save();
ctx.fillStyle = LiteGraph.NODE_TEXT_COLOR || "#CCC";
ctx.textAlign = "center";
ctx.textBaseline = "middle";
ctx.font = "bold 14px Arial";
const message = "Connect inputs and run workflow";
ctx.fillText(message, imageArea.x + imageArea.width / 2, imageArea.y + imageArea.height / 2);
ctx.restore();
}
// Draw Input Levels Area
ctx.fillStyle = "#282828";
ctx.fillRect(barArea.x, barArea.y, barArea.width, barArea.height);
ctx.fillStyle = "#202020";
ctx.fillRect(inputSliderArea.x, inputSliderArea.y, inputSliderArea.width, inputSliderArea.height);
const histogramData = this.histograms[this.activeChannel];
if (histogramData) {
this.drawHistogram(ctx, barArea, histogramData, 1);
}
const levels = this.allLevels[this.activeChannel];
if (!levels) return;
// Draw Input Handles
const blackX = inputSliderArea.x + levels.black_point * inputSliderArea.width;
const whiteX = inputSliderArea.x + levels.white_point * inputSliderArea.width;
const relativeRangeWidth = whiteX - blackX;
const midPointToSlider = (gamma) => {
if (gamma >= 1.0)
return 1.0 - (0.5 + ((gamma - 1.0) / 8.99) * 0.5);
else return 1.0 - (((gamma - 0.01) / 0.99) * 0.5);
};
const midHandleX = blackX + (midPointToSlider(levels.mid_point) * relativeRangeWidth);
const handleTipY = inputSliderArea.y + 2.5;
this.drawHandle(ctx, blackX, handleTipY, 5, "black", "white");
this.drawHandle(ctx, whiteX, handleTipY, 5, "white", "black");
this.drawHandle(ctx, midHandleX, handleTipY, 5, "#888", "white");
// Draw Output Levels Area
const gradient = ctx.createLinearGradient(outputSliderArea.x, 0, outputSliderArea.x + outputSliderArea.width, 0);
const blackOutPos = levels.output_black / 255.0;
const whiteOutPos = levels.output_white / 255.0;
gradient.addColorStop(0, "black");
gradient.addColorStop(blackOutPos, "black");
gradient.addColorStop(whiteOutPos, "white");
gradient.addColorStop(1, "white");
ctx.fillStyle = gradient;
ctx.fillRect(outputSliderArea.x, outputSliderArea.y, outputSliderArea.width, outputSliderArea.height);
// Draw Output Handles
const outBlackX = outputSliderArea.x + blackOutPos * outputSliderArea.width;
const outWhiteX = outputSliderArea.x + whiteOutPos * outputSliderArea.width;
const outHandleTipY = outputSliderArea.y + 2.5;
this.drawHandle(ctx, outBlackX, outHandleTipY, 5, "black", "white");
this.drawHandle(ctx, outWhiteX, outHandleTipY, 5, "white", "black");
},
onMouseDown: function (event) {
if (event.button !== 0)
return false;
const localPos = app.canvas.convertEventToCanvasOffset(event);
const mouseX = localPos[0] - this.pos[0];
const mouseY = localPos[1] - this.pos[1];
const levels = this.allLevels[this.activeChannel];
if (!levels)
return false;
// Check output slider first
const outputSliderArea = this.getOutputSliderArea();
if (outputSliderArea && mouseX > outputSliderArea.x && mouseX < outputSliderArea.x + outputSliderArea.width &&
mouseY > outputSliderArea.y && mouseY < outputSliderArea.y + outputSliderArea.height) {
const outBlackX = outputSliderArea.x + (levels.output_black / 255.0) * outputSliderArea.width;
if (Math.abs(mouseX - outBlackX) < 10) {
this.dragging = 'output_black'; return true;
}
const outWhiteX = outputSliderArea.x + (levels.output_white / 255.0) * outputSliderArea.width;
if (Math.abs(mouseX - outWhiteX) < 10) {
this.dragging = 'output_white'; return true;
}
}
// Check input slider
const inputSliderArea = this.getInputSliderArea();
if (inputSliderArea && mouseX > inputSliderArea.x && mouseX < inputSliderArea.x + inputSliderArea.width &&
mouseY > inputSliderArea.y && mouseY < inputSliderArea.y + inputSliderArea.height) {
const blackX = inputSliderArea.x + levels.black_point * inputSliderArea.width;
const whiteX = inputSliderArea.x + levels.white_point * inputSliderArea.width;
const relativeRangeWidth = whiteX - blackX;
const midPointToSlider = (gamma) => {
if (gamma >= 1.0) {
return 1.0 - (0.5 + ((gamma - 1.0) / 8.99) * 0.5);
}
else {
return 1.0 - (((gamma - 0.01) / 0.99) * 0.5);
}
};
const midHandleX = blackX + (midPointToSlider(levels.mid_point) * relativeRangeWidth);
if (Math.abs(mouseX - midHandleX) < 10) {
this.dragging = 'mid';
}
else if (Math.abs(mouseX - blackX) < 10) {
this.dragging = 'black';
}
else if (Math.abs(mouseX - whiteX) < 10) {
this.dragging = 'white';
}
}
return this.dragging !== null;
},
onMouseMove: function (event) {
if (event.buttons !== 1) {
if (this.dragging) {
this.dragging = null; this.sendLevelUpdateToPython();
}
return;
}
if (!this.dragging)
return;
const localPos = app.canvas.convertEventToCanvasOffset(event);
const mouseX = localPos[0] - this.pos[0];
const levels = this.allLevels[this.activeChannel];
if (!levels)
return;
let needsUpdate = false;
// Handle input slider dragging
if (this.dragging === 'black' || this.dragging === 'white' || this.dragging === 'mid') {
const inputSliderArea = this.getInputSliderArea();
if (!inputSliderArea)
return;
if (this.dragging === 'black' || this.dragging === 'white') {
let newLevel = (mouseX - inputSliderArea.x) / inputSliderArea.width;
newLevel = Math.max(0.0, Math.min(1.0, newLevel));
if (this.dragging === 'black')
levels.black_point = Math.min(newLevel, levels.white_point - 0.01);
else
levels.white_point = Math.max(newLevel, levels.black_point + 0.01);
}
else if (this.dragging === 'mid') {
const blackX = inputSliderArea.x + levels.black_point * inputSliderArea.width;
const whiteX = inputSliderArea.x + levels.white_point * inputSliderArea.width;
const relativeRangeWidth = whiteX - blackX;
if (relativeRangeWidth < 1)
return;
let relativePos = (mouseX - blackX) / relativeRangeWidth;
relativePos = Math.max(0.0, Math.min(1.0, relativePos));
let invertedPos = 1.0 - relativePos;
if (invertedPos >= 0.5) {
levels.mid_point = 1.0 + ((invertedPos - 0.5) / 0.5) * (9.99 - 1.0);
}
else {
levels.mid_point = 0.01 + (invertedPos / 0.5) * (1.0 - 0.01);
}
levels.mid_point = parseFloat(levels.mid_point.toFixed(2));
}
needsUpdate = true;
}
// Handle output slider dragging
else if (this.dragging === 'output_black' || this.dragging === 'output_white') {
const outputSliderArea = this.getOutputSliderArea();
if (!outputSliderArea)
return;
let newLevel = ((mouseX - outputSliderArea.x) / outputSliderArea.width) * 255;
newLevel = Math.max(0, Math.min(255, newLevel));
if (this.dragging === 'output_black') {
levels.output_black = Math.min(newLevel, levels.output_white - 1);
}
else {
levels.output_white = Math.max(newLevel, levels.output_black + 1);
}
needsUpdate = true;
}
if (needsUpdate) {
updateWidgetsFromState();
this.setDirtyCanvas(true, true);
clearTimeout(this.updateTimeout);
this.updateTimeout = setTimeout(() => this.sendLevelUpdateToPython(), 50);
}
},
onMouseUp: function (event) {
if (this.dragging) {
this.dragging = null;
this.sendLevelUpdateToPython();
}
}
});
const methodsToBind = ['getImageArea', 'getBarArea', 'getInputSliderArea', 'getOutputSliderArea', 'updateHistogram', 'sendLevelUpdateToPython', 'onDrawForeground', 'onMouseDown', 'onMouseMove', 'onMouseUp', 'drawHistogram', 'drawHandle'];
methodsToBind.forEach(m => { if (node[m]) node[m] = node[m].bind(node); });
}
},
});
// Event listeners -----------
api.addEventListener("eses.levels_preview_base", ({ detail }) => {
const node = app.graph.getNodeById(detail.node_id);
if (node) {
node.isManuallyResized = false;
// Check for both auto_levels_updated
// and auto_color_updated
if (detail.updated_levels) {
// Runs for auto-levels or auto-color.
// Update all widgets.
node.allLevels = detail.updated_levels;
const channelWidget = node.widgets.find(w => w.name === "channel");
const channelMap = { "RGB": "rgb", "Red": "r", "Green": "g", "Blue": "b", "Mask": "mask" };
node.activeChannel = channelMap[channelWidget.value] || "rgb";
// Refresh the widgets for the currently
// selected channel to show the newly reset
// output levels.
const blackWidget = node.widgets.find(w => w.name === "Black");
const midWidget = node.widgets.find(w => w.name === "Mid");
const whiteWidget = node.widgets.find(w => w.name === "White");
const outputBlackWidget = node.widgets.find(w => w.name === "Output Black");
const outputWhiteWidget = node.widgets.find(w => w.name === "Output White");
const levels = node.allLevels[node.activeChannel];
if (levels) {
if (blackWidget)
blackWidget.value = parseFloat(levels.black_point.toFixed(2));
if (midWidget)
midWidget.value = parseFloat(levels.mid_point.toFixed(2));
if (whiteWidget)
whiteWidget.value = parseFloat(levels.white_point.toFixed(2));
if (outputBlackWidget)
outputBlackWidget.value = Math.round(levels.output_black);
if (outputWhiteWidget)
outputWhiteWidget.value = Math.round(levels.output_white);
}
}
const onAssetLoad = async () => {
if (!node.isManuallyResized) {
const sizingObj = node.originalImage || node.originalMask;
if (sizingObj) {
const aspectRatio = sizingObj.naturalWidth / sizingObj.naturalHeight;
const imageDrawWidth = node.size[0] - PADDING * 2;
const imageDrawHeight = imageDrawWidth / aspectRatio;
const interactiveHeight = HISTOGRAM_AREA_HEIGHT + OUTPUT_SLIDER_AREA_HEIGHT + AREA_SPACING;
node.size[1] = imageDrawHeight + interactiveHeight + HEADER_HEIGHT + PADDING * 2;
node.isManuallyResized = true; // Set to true after auto-resize
}
}
await node.updateHistogram();
await node.sendLevelUpdateToPython();
};
let assetsToLoad = 0;
if (detail.image_data)
assetsToLoad++;
if (detail.mask_data)
assetsToLoad++;
if (assetsToLoad === 0) {
onAssetLoad(); return;
}
let loadedCount = 0;
const assetLoadedCallback = async () => {
if (++loadedCount === assetsToLoad) {
await onAssetLoad();
}
};
if (detail.image_data) {
const img = new Image();
img.src = "data:image/png;base64," + detail.image_data;
img.onload = assetLoadedCallback;
node.originalImage = img;
}
else {
node.originalImage = null;
}
if (detail.mask_data) {
const mask = new Image();
mask.src = "data:image/png;base64," + detail.mask_data;
mask.onload = assetLoadedCallback;
node.originalMask = mask;
}
else {
node.originalMask = null;
}
}
}); |