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<https://www.gnu.org/licenses/why-not-lgpl.html>.

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__init__.py Normal file
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from .ltx_keyframer import LTXKeyframer
from .multi_image_loader import MultiImageLoader
from .ltx_sequencer import LTXSequencer
# Register the node classes
NODE_CLASS_MAPPINGS = {
"LTXKeyframer": LTXKeyframer,
"MultiImageLoader": MultiImageLoader,
"LTXSequencer": LTXSequencer
}
# Provide clean display names for the ComfyUI interface
NODE_DISPLAY_NAME_MAPPINGS = {
"LTXKeyframer": "LTX Keyframer",
"MultiImageLoader": "Multi Image Loader",
"LTXSequencer": "LTX Sequencer"
}
WEB_DIRECTORY = "./js"
__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS', 'WEB_DIRECTORY']

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js/ltx_keyframer.js Normal file
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import { app } from "../../scripts/app.js";
// Global registry to track all LTXKeyframer nodes across all subgraphs
window._LTXKeyframerGlobalNodes = window._LTXKeyframerGlobalNodes || new Set();
// ComfyUI native trick to cleanly hide/show widgets without deleting them
function toggleWidget(widget, visible) {
if (visible) {
if (widget.origType !== undefined) {
widget.type = widget.origType;
widget.computeSize = widget.origComputeSize;
delete widget.origType;
delete widget.origComputeSize;
}
} else {
if (widget.type !== "hidden") {
widget.origType = widget.type;
widget.origComputeSize = widget.computeSize;
widget.type = "hidden";
widget.computeSize = () => [0, -4];
}
}
}
// --- NEW SYNC HELPER FUNCTION ---
// Finds all other LTXKeyframer nodes globally and mirrors the value to them
function syncWidgetAcrossNodes(sourceNode, widgetName, value) {
if (!window._LTXKeyframerGlobalNodes) return;
for (const targetNode of window._LTXKeyframerGlobalNodes) {
// Target all OTHER LTXKeyframer nodes by direct object reference
if (targetNode !== sourceNode) {
// 1. Always update the hidden properties cache so it remembers the sync
// even if the widget isn't currently visible (e.g. fewer images loaded right now)
targetNode.properties[widgetName] = value;
// 2. If the widget is currently visible on the UI, update it visually
if (targetNode.widgets) {
const targetWidget = targetNode.widgets.find(w => w.name === widgetName);
if (targetWidget && targetWidget.value !== value) {
targetWidget.value = value;
targetNode.setDirtyCanvas(true, false);
}
}
}
}
}
app.registerExtension({
name: "Comfy.LTXKeyframer.DynamicInputs",
async nodeCreated(node) {
if (node.comfyClass !== "LTXKeyframer") return;
// Register this node instance globally
window._LTXKeyframerGlobalNodes.add(node);
node._currentImageCount = -1; // Force first update
// Initialize persistent properties cache
node.properties = node.properties || {};
// Add subtle separator line above images_loaded
node.addCustomWidget({
name: "num_images_separator",
type: "text",
draw(ctx, node, widget_width, y, widget_height) {
ctx.save();
ctx.strokeStyle = "#444";
ctx.lineWidth = 1;
ctx.beginPath();
ctx.moveTo(10, y + 5);
ctx.lineTo(widget_width - 10, y + 5);
ctx.stroke();
ctx.restore();
},
computeSize(width) {
return [width, 10];
}
});
// Move separator before num_images
const moveSeparator = () => {
const idx = node.widgets.findIndex(w => w.name === "num_images");
const sepIdx = node.widgets.findIndex(w => w.name === "num_images_separator");
if (idx !== -1 && sepIdx !== -1) {
const separator = node.widgets.splice(sepIdx, 1)[0];
node.widgets.splice(idx, 0, separator);
}
};
setTimeout(moveSeparator, 50); // Small delay to ensure num_images is present
// Core update: synchronize widget visibility to match imageCount
node._applyWidgetCount = function(count) {
const isInitialLoad = this._currentImageCount === -1;
if (this._currentImageCount === count && !isInitialLoad) return;
this._currentImageCount = count;
const initialWidth = this.size[0];
const numWidget = this.widgets?.find(w => w.name === "num_images");
if (numWidget) {
numWidget.label = "images_loaded";
numWidget.value = Math.max(0, Math.min(count || 0, 50));
}
// 1. Store current widget values in properties BEFORE removing them
// We skip reading from `this.widgets` on the initial load because it might be scrambling.
if (!isInitialLoad && this.widgets) {
this.widgets.forEach(w => {
if (w.name.startsWith("insert_frame_") || w.name.startsWith("strength_")) {
this.properties[w.name] = w.value;
}
});
}
// 2. Remove all existing dynamic insert_frame/strength/header widgets
if (this.widgets) {
this.widgets = this.widgets.filter(w =>
!w.name.startsWith("insert_frame_") &&
!w.name.startsWith("strength_") &&
!w.name.startsWith("header_")
);
} else {
this.widgets = [];
}
// 3. Add back exactly the right amount of widgets using the cached values
for (let i = 1; i <= count; i++) {
// Add header/separator widget for grouping
const headerName = `header_${i}`;
this.addCustomWidget({
name: headerName,
type: "text",
value: `Image #${i}`,
draw(ctx, node, widget_width, y, widget_height) {
ctx.save();
const margin = 10;
const topPadding = 15;
// Subtle separator line
ctx.strokeStyle = "#333";
ctx.lineWidth = 1;
ctx.beginPath();
ctx.moveTo(margin, y + 5);
ctx.lineTo(widget_width - margin, y + 5);
ctx.stroke();
// Text label
ctx.fillStyle = "#dddddd"; // Light gray
ctx.font = "bold 12px Arial";
ctx.textAlign = "left";
ctx.fillText(`Image #${i}`, margin, y + topPadding + 10);
ctx.restore();
},
computeSize(width) {
return [width, 35]; // Vertical gap + label height
}
});
const insertFrameWidgetName = `insert_frame_${i}`;
const strengthWidgetName = `strength_${i}`;
// Add insert_frame widget with Sync Callback
const savedInsertFrameValue = this.properties[insertFrameWidgetName];
this.addWidget("number", insertFrameWidgetName,
savedInsertFrameValue !== undefined ? savedInsertFrameValue : 0,
(value) => {
const rounded = Math.round(value);
this.properties[insertFrameWidgetName] = rounded;
syncWidgetAcrossNodes(this, insertFrameWidgetName, rounded); // Sync out
}, { min: -9999, max: 9999, step: 10, precision: 0 }
);
// Add strength widget with Sync Callback
const savedStrengthValue = this.properties[strengthWidgetName];
this.addWidget("number", strengthWidgetName,
savedStrengthValue !== undefined ? savedStrengthValue : 1.0,
(value) => {
this.properties[strengthWidgetName] = value;
syncWidgetAcrossNodes(this, strengthWidgetName, value); // Sync out
}, { min: 0.0, max: 1.0, step: 0.01 }
);
}
this.setDirtyCanvas(true, true);
requestAnimationFrame(() => {
if (this.computeSize) {
this.setSize(this.computeSize());
this.size[0] = initialWidth; // keep width fixed when restructuring
}
});
};
// --- STRICT ARRAY MAPPER: FIXES ALL SHIFTING FOREVER ---
// This runs the exact instant the node is loaded, before any UI widgets shift indices.
// It locks the perfectly mapped array values directly into our properties dictionary.
const origConfigure = node.configure;
node.configure = function(info) {
if (origConfigure) {
origConfigure.apply(this, arguments);
}
if (this.widgets) {
this.widgets.forEach(w => {
if (w.name === "num_images" || w.name.startsWith("insert_frame_") || w.name.startsWith("strength_")) {
this.properties[w.name] = w.value;
}
});
}
};
// Handle deserialization to load properties properly from JSON
const originalOnConfigure = node.onConfigure;
node.onConfigure = function(info) {
if (originalOnConfigure) {
originalOnConfigure.apply(this, arguments);
}
if (info.properties) {
this.properties = { ...this.properties, ...info.properties };
}
setTimeout(() => {
const count = readSourceImageCount(this);
// Fallback to properties.num_images if source node disconnected
let targetCount = count !== null ? count : (this.properties.num_images || 0);
this._applyWidgetCount(targetCount);
}, 100);
};
// --- STRICT ARRAY GENERATOR ---
// Completely detach from ComfyUI's blind visual array saving.
// We construct an exact 101-element strict array that Python expects.
// This makes your node 100% immune to UI/Header index shifting.
const originalOnSerialize = node.onSerialize;
node.onSerialize = function(info) {
// Ensure properties are strictly synced with current widget values before building
if (this.widgets) {
this.widgets.forEach(w => {
if (w.name === "num_images" || w.name.startsWith("insert_frame_") || w.name.startsWith("strength_")) {
this.properties[w.name] = w.value;
}
});
}
if (originalOnSerialize) {
originalOnSerialize.apply(this, arguments);
}
info.properties = { ...this.properties };
// Build the exact strict array that maps 1-to-1 to the Python backend
const strictArray = [];
const numWidgetVal = this.properties["num_images"];
strictArray.push(numWidgetVal !== undefined ? numWidgetVal : 1);
for (let i = 1; i <= 50; i++) {
const fVal = this.properties[`insert_frame_${i}`];
const sVal = this.properties[`strength_${i}`];
strictArray.push(fVal !== undefined ? fVal : 0);
strictArray.push(sVal !== undefined ? sVal : 1.0);
}
info.widgets_values = strictArray;
};
// Set up manual num_images widget callback
setTimeout(() => {
const numWidget = node.widgets?.find(w => w.name === "num_images");
if (numWidget) {
numWidget.callback = (val) => {
node.properties["num_images"] = val;
node._applyWidgetCount(val);
};
}
}, 100);
// Exposed receiver for push-based notifications
node._syncImageCount = function(count) {
this._applyWidgetCount(count);
};
// Helper: read image count from a connected MultiImageLoader node
function readSourceImageCount(self) {
const multiInput = self.inputs?.find(inp => inp.name === "multi_input");
if (!multiInput || !multiInput.link) return null;
const nodeGraph = self.graph || app.graph;
// Helper to safely trace back through Reroutes and ComfyUI Group Nodes/Subgraphs
function traceUpstream(graph, linkId, visited = new Set()) {
if (!linkId || visited.has(linkId)) return null;
visited.add(linkId);
const link = graph.links[linkId];
if (!link) return null;
const originNode = graph.getNodeById(link.origin_id);
if (!originNode) return null;
if (originNode.comfyClass === "MultiImageLoader") {
return originNode;
}
// Traverse Reroute nodes
if (originNode.type === "Reroute" || originNode.comfyClass === "Reroute") {
if (originNode.inputs && originNode.inputs.length > 0 && originNode.inputs[0].link) {
return traceUpstream(graph, originNode.inputs[0].link, visited);
}
}
// Traverse standard ComfyUI Group Nodes (subgraphs)
if (typeof originNode.getInnerNode === "function") {
try {
const innerNode = originNode.getInnerNode(link.origin_slot);
if (innerNode && innerNode.comfyClass === "MultiImageLoader") {
return innerNode;
}
} catch (e) {
console.warn("Could not trace inner node", e);
}
}
return null;
}
let sourceNode = traceUpstream(nodeGraph, multiInput.link);
// Helper to extract the count once we find a node
function getCountFromNode(n) {
if (typeof n._imageCount === "number") return n._imageCount;
const pathsWidget = n.widgets?.find(w => w.name === "image_paths");
if (pathsWidget) {
return (pathsWidget.value || "").split('\n').map(p => p.trim()).filter(p => p.length > 0).length;
}
return null;
}
if (sourceNode) {
return getCountFromNode(sourceNode);
}
// Fallback Strategy: If it is connected to something, but we couldn't resolve it
// directly (e.g. complex nested 3rd party subgraphs), scan the entire UI.
// If there is EXACTLY ONE MultiImageLoader in the workspace, safely assume that's the one.
let multiImageLoaders = [];
function findAllLoaders(nodes) {
if (!nodes) return;
for (let n of nodes) {
if (n.comfyClass === "MultiImageLoader") {
multiImageLoaders.push(n);
}
if (n.subgraph && n.subgraph._nodes) {
findAllLoaders(n.subgraph._nodes);
}
}
}
if (app.graph && app.graph._nodes) {
findAllLoaders(app.graph._nodes);
}
if (multiImageLoaders.length === 1) {
return getCountFromNode(multiImageLoaders[0]);
}
return null;
}
// --- Backup polling via setInterval (4 Hz) ---
const pollInterval = setInterval(() => {
if (!node.graph) {
clearInterval(pollInterval);
return;
}
const count = readSourceImageCount(node);
if (count !== null) {
node._applyWidgetCount(count);
}
}, 250);
// Clean up the interval when the node is deleted
const origOnRemoved = node.onRemoved;
node.onRemoved = function() {
// Unregister this node instance
window._LTXKeyframerGlobalNodes.delete(node);
clearInterval(pollInterval);
if (origOnRemoved) origOnRemoved.apply(this, arguments);
};
// --- Connection change handler ---
const onConnectionsChange = node.onConnectionsChange;
node.onConnectionsChange = function(type, index, connected, link_info) {
if (onConnectionsChange) onConnectionsChange.apply(this, arguments);
if (type === 1) { // 1 = Input
const input = this.inputs[index];
if (input && input.name === "multi_input") {
if (connected) {
setTimeout(() => {
const count = readSourceImageCount(this);
this._applyWidgetCount(count !== null ? count : (this.properties.num_images || 0));
}, 100);
} else {
this._applyWidgetCount(0);
}
}
}
};
// --- Initial sync when first placed on canvas ---
const origOnAdded = node.onAdded;
node.onAdded = function() {
if (origOnAdded) origOnAdded.apply(this, arguments);
setTimeout(() => {
const count = readSourceImageCount(this);
this._applyWidgetCount(count !== null ? count : (this.properties.num_images || 0));
}, 100);
};
}
});

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js/ltx_sequencer.js Normal file
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import { app } from "../../scripts/app.js";
// Global registry to track all LTXSequencer nodes across all subgraphs
window._LTXSequencerGlobalNodes = window._LTXSequencerGlobalNodes || new Set();
// ComfyUI native trick to cleanly hide/show widgets without deleting them
function toggleWidget(widget, visible) {
if (visible) {
if (widget.origType !== undefined) {
widget.type = widget.origType;
widget.computeSize = widget.origComputeSize;
delete widget.origType;
delete widget.origComputeSize;
}
} else {
if (widget.type !== "hidden") {
widget.origType = widget.type;
widget.origComputeSize = widget.computeSize;
widget.type = "hidden";
widget.computeSize = () => [0, -4];
}
}
}
// --- NEW SYNC HELPER FUNCTION ---
// Finds all other LTXSequencer nodes globally and mirrors the value to them
function syncWidgetAcrossNodes(sourceNode, widgetName, value) {
if (!window._LTXSequencerGlobalNodes) return;
for (const targetNode of window._LTXSequencerGlobalNodes) {
// Target all OTHER LTXSequencer nodes by direct object reference
if (targetNode !== sourceNode) {
// 1. Always update the hidden properties cache so it remembers the sync
// even if the widget isn't currently visible (e.g. fewer images loaded right now)
targetNode.properties[widgetName] = value;
// 2. If the widget is currently visible on the UI, update it visually
if (targetNode.widgets) {
const targetWidget = targetNode.widgets.find(w => w.name === widgetName);
if (targetWidget && targetWidget.value !== value) {
targetWidget.value = value;
targetNode.setDirtyCanvas(true, false);
}
}
}
}
}
app.registerExtension({
name: "Comfy.LTXSequencer.DynamicInputs",
async nodeCreated(node) {
if (node.comfyClass !== "LTXSequencer") return;
// Register this node instance globally
window._LTXSequencerGlobalNodes.add(node);
node._currentImageCount = -1; // Force first update
// Initialize persistent properties cache
node.properties = node.properties || {};
// Add subtle separator line above images_loaded
node.addCustomWidget({
name: "num_images_separator",
type: "text",
draw(ctx, node, widget_width, y, widget_height) {
ctx.save();
ctx.strokeStyle = "#444";
ctx.lineWidth = 1;
ctx.beginPath();
ctx.moveTo(10, y + 5);
ctx.lineTo(widget_width - 10, y + 5);
ctx.stroke();
ctx.restore();
},
computeSize(width) {
return [width, 10];
}
});
// Move separator before num_images
const moveSeparator = () => {
const idx = node.widgets.findIndex(w => w.name === "num_images");
const sepIdx = node.widgets.findIndex(w => w.name === "num_images_separator");
if (idx !== -1 && sepIdx !== -1) {
const separator = node.widgets.splice(sepIdx, 1)[0];
node.widgets.splice(idx, 0, separator);
}
};
setTimeout(moveSeparator, 50); // Small delay to ensure num_images is present
// Core update: synchronize widget visibility to match imageCount
node._applyWidgetCount = function(count) {
const isInitialLoad = this._currentImageCount === -1;
if (this._currentImageCount === count && !isInitialLoad) return;
this._currentImageCount = count;
const initialWidth = this.size[0];
const numWidget = this.widgets?.find(w => w.name === "num_images");
if (numWidget) {
numWidget.label = "images_loaded";
numWidget.value = Math.max(0, Math.min(count || 0, 50));
}
// 1. Store current widget values in properties BEFORE removing them
// We skip reading from `this.widgets` on the initial load because it might be scrambling.
if (!isInitialLoad && this.widgets) {
this.widgets.forEach(w => {
if (w.name.startsWith("insert_frame_") || w.name.startsWith("strength_")) {
this.properties[w.name] = w.value;
}
});
}
// 2. Remove all existing dynamic insert_frame/strength/header widgets
if (this.widgets) {
this.widgets = this.widgets.filter(w =>
!w.name.startsWith("insert_frame_") &&
!w.name.startsWith("strength_") &&
!w.name.startsWith("header_")
);
} else {
this.widgets = [];
}
// 3. Add back exactly the right amount of widgets using the cached values
for (let i = 1; i <= count; i++) {
// Add header/separator widget for grouping
const headerName = `header_${i}`;
this.addCustomWidget({
name: headerName,
type: "text",
value: `Image #${i}`,
draw(ctx, node, widget_width, y, widget_height) {
ctx.save();
const margin = 10;
const topPadding = 15;
// Subtle separator line
ctx.strokeStyle = "#333";
ctx.lineWidth = 1;
ctx.beginPath();
ctx.moveTo(margin, y + 5);
ctx.lineTo(widget_width - margin, y + 5);
ctx.stroke();
// Text label
ctx.fillStyle = "#dddddd"; // Light gray
ctx.font = "bold 12px Arial";
ctx.textAlign = "left";
ctx.fillText(`Image #${i}`, margin, y + topPadding + 10);
ctx.restore();
},
computeSize(width) {
return [width, 35]; // Vertical gap + label height
}
});
const insertFrameWidgetName = `insert_frame_${i}`;
const strengthWidgetName = `strength_${i}`;
// Add insert_frame widget with Sync Callback
const savedInsertFrameValue = this.properties[insertFrameWidgetName];
this.addWidget("number", insertFrameWidgetName,
savedInsertFrameValue !== undefined ? savedInsertFrameValue : 0,
(value) => {
const rounded = Math.round(value);
this.properties[insertFrameWidgetName] = rounded;
syncWidgetAcrossNodes(this, insertFrameWidgetName, rounded); // Sync out
}, { min: -9999, max: 9999, step: 10, precision: 0 }
);
// Add strength widget with Sync Callback
const savedStrengthValue = this.properties[strengthWidgetName];
this.addWidget("number", strengthWidgetName,
savedStrengthValue !== undefined ? savedStrengthValue : 1.0,
(value) => {
this.properties[strengthWidgetName] = value;
syncWidgetAcrossNodes(this, strengthWidgetName, value); // Sync out
}, { min: 0.0, max: 1.0, step: 0.01 }
);
}
this.setDirtyCanvas(true, true);
requestAnimationFrame(() => {
if (this.computeSize) {
this.setSize(this.computeSize());
this.size[0] = initialWidth; // keep width fixed when restructuring
}
});
};
// --- STRICT ARRAY MAPPER: FIXES ALL SHIFTING FOREVER ---
// This runs the exact instant the node is loaded, before any UI widgets shift indices.
// It locks the perfectly mapped array values directly into our properties dictionary.
const origConfigure = node.configure;
node.configure = function(info) {
if (origConfigure) {
origConfigure.apply(this, arguments);
}
if (this.widgets) {
this.widgets.forEach(w => {
if (w.name === "num_images" || w.name.startsWith("insert_frame_") || w.name.startsWith("strength_")) {
this.properties[w.name] = w.value;
}
});
}
};
// Handle deserialization to load properties properly from JSON
const originalOnConfigure = node.onConfigure;
node.onConfigure = function(info) {
if (originalOnConfigure) {
originalOnConfigure.apply(this, arguments);
}
if (info.properties) {
this.properties = { ...this.properties, ...info.properties };
}
setTimeout(() => {
const count = readSourceImageCount(this);
// Fallback to properties.num_images if source node disconnected
let targetCount = count !== null ? count : (this.properties.num_images || 0);
this._applyWidgetCount(targetCount);
}, 100);
};
// --- STRICT ARRAY GENERATOR ---
// Completely detach from ComfyUI's blind visual array saving.
// We construct an exact 101-element strict array that Python expects.
// This makes your node 100% immune to UI/Header index shifting.
const originalOnSerialize = node.onSerialize;
node.onSerialize = function(info) {
// Ensure properties are strictly synced with current widget values before building
if (this.widgets) {
this.widgets.forEach(w => {
if (w.name === "num_images" || w.name.startsWith("insert_frame_") || w.name.startsWith("strength_")) {
this.properties[w.name] = w.value;
}
});
}
if (originalOnSerialize) {
originalOnSerialize.apply(this, arguments);
}
info.properties = { ...this.properties };
// Build the exact strict array that maps 1-to-1 to the Python backend
const strictArray = [];
const numWidgetVal = this.properties["num_images"];
strictArray.push(numWidgetVal !== undefined ? numWidgetVal : 1);
for (let i = 1; i <= 50; i++) {
const fVal = this.properties[`insert_frame_${i}`];
const sVal = this.properties[`strength_${i}`];
strictArray.push(fVal !== undefined ? fVal : 0);
strictArray.push(sVal !== undefined ? sVal : 1.0);
}
info.widgets_values = strictArray;
};
// Set up manual num_images widget callback
setTimeout(() => {
const numWidget = node.widgets?.find(w => w.name === "num_images");
if (numWidget) {
numWidget.callback = (val) => {
node.properties["num_images"] = val;
node._applyWidgetCount(val);
};
}
}, 100);
// Exposed receiver for push-based notifications
node._syncImageCount = function(count) {
this._applyWidgetCount(count);
};
// Helper: read image count from a connected MultiImageLoader node
function readSourceImageCount(self) {
const multiInput = self.inputs?.find(inp => inp.name === "multi_input");
if (!multiInput || !multiInput.link) return null;
const nodeGraph = self.graph || app.graph;
// Helper to safely trace back through Reroutes and ComfyUI Group Nodes/Subgraphs
function traceUpstream(graph, linkId, visited = new Set()) {
if (!linkId || visited.has(linkId)) return null;
visited.add(linkId);
const link = graph.links[linkId];
if (!link) return null;
const originNode = graph.getNodeById(link.origin_id);
if (!originNode) return null;
if (originNode.comfyClass === "MultiImageLoader") {
return originNode;
}
// Traverse Reroute nodes
if (originNode.type === "Reroute" || originNode.comfyClass === "Reroute") {
if (originNode.inputs && originNode.inputs.length > 0 && originNode.inputs[0].link) {
return traceUpstream(graph, originNode.inputs[0].link, visited);
}
}
// Traverse standard ComfyUI Group Nodes (subgraphs)
if (typeof originNode.getInnerNode === "function") {
try {
const innerNode = originNode.getInnerNode(link.origin_slot);
if (innerNode && innerNode.comfyClass === "MultiImageLoader") {
return innerNode;
}
} catch (e) {
console.warn("Could not trace inner node", e);
}
}
return null;
}
let sourceNode = traceUpstream(nodeGraph, multiInput.link);
// Helper to extract the count once we find a node
function getCountFromNode(n) {
if (typeof n._imageCount === "number") return n._imageCount;
const pathsWidget = n.widgets?.find(w => w.name === "image_paths");
if (pathsWidget) {
return (pathsWidget.value || "").split('\n').map(p => p.trim()).filter(p => p.length > 0).length;
}
return null;
}
if (sourceNode) {
return getCountFromNode(sourceNode);
}
// Fallback Strategy: If it is connected to something, but we couldn't resolve it
// directly (e.g. complex nested 3rd party subgraphs), scan the entire UI.
// If there is EXACTLY ONE MultiImageLoader in the workspace, safely assume that's the one.
let multiImageLoaders = [];
function findAllLoaders(nodes) {
if (!nodes) return;
for (let n of nodes) {
if (n.comfyClass === "MultiImageLoader") {
multiImageLoaders.push(n);
}
if (n.subgraph && n.subgraph._nodes) {
findAllLoaders(n.subgraph._nodes);
}
}
}
if (app.graph && app.graph._nodes) {
findAllLoaders(app.graph._nodes);
}
if (multiImageLoaders.length === 1) {
return getCountFromNode(multiImageLoaders[0]);
}
return null;
}
// --- Backup polling via setInterval (4 Hz) ---
const pollInterval = setInterval(() => {
if (!node.graph) {
clearInterval(pollInterval);
return;
}
const count = readSourceImageCount(node);
if (count !== null) {
node._applyWidgetCount(count);
}
}, 250);
// Clean up the interval when the node is deleted
const origOnRemoved = node.onRemoved;
node.onRemoved = function() {
// Unregister this node instance
window._LTXSequencerGlobalNodes.delete(node);
clearInterval(pollInterval);
if (origOnRemoved) origOnRemoved.apply(this, arguments);
};
// --- Connection change handler ---
const onConnectionsChange = node.onConnectionsChange;
node.onConnectionsChange = function(type, index, connected, link_info) {
if (onConnectionsChange) onConnectionsChange.apply(this, arguments);
if (type === 1) { // 1 = Input
const input = this.inputs[index];
if (input && input.name === "multi_input") {
if (connected) {
setTimeout(() => {
const count = readSourceImageCount(this);
this._applyWidgetCount(count !== null ? count : (this.properties.num_images || 0));
}, 100);
} else {
this._applyWidgetCount(0);
}
}
}
};
// --- Initial sync when first placed on canvas ---
const origOnAdded = node.onAdded;
node.onAdded = function() {
if (origOnAdded) origOnAdded.apply(this, arguments);
setTimeout(() => {
const count = readSourceImageCount(this);
this._applyWidgetCount(count !== null ? count : (this.properties.num_images || 0));
}, 100);
};
}
});

561
js/multi_image_loader.js Normal file
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import { app } from "../../scripts/app.js";
import { api } from "../../scripts/api.js";
app.registerExtension({
name: "Comfy.MultiImageLoader",
async nodeCreated(node) {
if (node.comfyClass !== "MultiImageLoader") return;
// --- 1. UI Setup: Main Container ---
const container = document.createElement("div");
container.style.cssText = `
width: 100%;
background: #222222;
border: 1px solid #353545;
border-radius: 4px;
margin-top: 5px;
padding: 10px;
box-sizing: border-box;
display: flex;
flex-direction: column;
gap: 10px;
pointer-events: auto;
overflow: hidden;
`;
// Top Bar for Actions
const topBar = document.createElement("div");
topBar.style.cssText = "display: flex; justify-content: flex-start; align-items: center; width: 100%; gap: 8px;";
const uploadBtn = document.createElement("button");
uploadBtn.innerText = "Upload Images";
uploadBtn.style.cssText = `
background: #3a3f4b; color: white; border: 1px solid #5a5f6b;
padding: 3px 8px; border-radius: 3px; cursor: pointer; font-size: 10px;
`;
const removeAllBtn = document.createElement("button");
removeAllBtn.innerText = "Remove All";
removeAllBtn.style.cssText = `
background: #cc2222; color: white; border: 1px solid #aa1111;
padding: 3px 8px; border-radius: 3px; cursor: pointer; font-size: 10px;
transition: background 0.2s;
`;
removeAllBtn.onmouseenter = () => { removeAllBtn.style.background = "#ff3333"; };
removeAllBtn.onmouseleave = () => { removeAllBtn.style.background = "#cc2222"; };
removeAllBtn.onclick = () => {
setWidgetValue([], false);
};
topBar.appendChild(uploadBtn);
topBar.appendChild(removeAllBtn);
container.appendChild(topBar);
// The Grid Area - Setup to center the dynamically packed square blocks
const grid = document.createElement("div");
grid.style.cssText = `
position: relative; /* Crucial for anti-flicker offset calculations */
flex-grow: 1;
display: grid;
gap: 8px;
width: 100%;
justify-content: center;
align-content: center;
`;
container.appendChild(grid);
const fileInput = document.createElement("input");
fileInput.type = "file";
fileInput.multiple = true;
fileInput.accept = "image/*";
fileInput.style.display = "none";
container.appendChild(fileInput);
// Add the Widget to the Node
const galleryWidget = node.addDOMWidget("Gallery", "html_gallery", container, { serialize: false });
// Permanently neutralize the DOM widget's built-in computeSize to prevent infinite LiteGraph loops
galleryWidget.computeSize = () => [0, 0];
// Find the paths widget and hide it
const pathsWidget = node.widgets.find(w => w.name === "image_paths");
if (pathsWidget) {
pathsWidget.type = "hidden";
if (pathsWidget.element) pathsWidget.element.style.display = "none";
}
const oldCallback = pathsWidget.callback;
// Centralized helper to prevent infinite loops when updating values internally
function setWidgetValue(newPathsArray, isRearranging = false) {
const val = newPathsArray.join("\n");
// Temporarily silence the main callback
const tempCallback = pathsWidget.callback;
pathsWidget.callback = null;
pathsWidget.value = val;
if (oldCallback) oldCallback.apply(pathsWidget, [val]);
pathsWidget.callback = tempCallback;
refreshGallery(isRearranging);
}
// --- 2. Logic: Output Syncing & Dynamic Packing ---
// Manages image_N outputs (slots 1+) while always preserving multi_output at slot 0
function syncOutputs(count) {
if (!node.outputs) return;
let changed = false;
// Target = multi_output (slot 0) + count image outputs
const targetTotal = count + 1;
// Remove excess outputs from the end, but NEVER remove slot 0 (multi_output)
while (node.outputs.length > targetTotal && node.outputs.length > 1) {
node.removeOutput(node.outputs.length - 1);
changed = true;
}
// Add missing image_N outputs after multi_output
for (let i = node.outputs.length; i < targetTotal; i++) {
node.addOutput(`image_${i}`, "IMAGE");
changed = true;
}
if (changed) {
updateLayout();
}
}
// Push-based notification: broadcast image count to all connected nodes
function notifyConnectedNodes(imageCount) {
if (!node.outputs) return;
for (const output of node.outputs) {
if (!output.links) continue;
for (const linkId of output.links) {
const link = app.graph.links[linkId];
if (!link) continue;
const targetNode = app.graph.getNodeById(link.target_id);
if (targetNode && typeof targetNode._syncImageCount === "function") {
targetNode._syncImageCount(imageCount);
}
}
}
}
// 2D Square Packing Algorithm: Calculates the optimal grid sizes to fill empty space
function optimizeGrid(nodeW, containerH) {
const paths = (pathsWidget.value || "").split(/\n|,/).map(s => s.trim()).filter(s => s);
const N = paths.length;
if (N === 0) {
grid.style.gridTemplateColumns = 'repeat(auto-fit, minmax(75px, 1fr))';
grid.style.gridAutoRows = 'max-content';
return;
}
// Approximate the available internal working space
const gridW = nodeW - 22; // Container padding + border
const gridH = containerH - 60; // Top bar height + container padding + gap
if (gridW <= 0 || gridH <= 0) return;
let bestS = 0;
let bestCols = 1;
// Test every possible column combination to find the one that yields the largest squares
for (let c = 1; c <= N; c++) {
const r = Math.ceil(N / c);
const maxW = (gridW - (c - 1) * 8) / c;
const maxH = (gridH - (r - 1) * 8) / r;
const size = Math.min(maxW, maxH);
if (size > bestS) {
bestS = size;
bestCols = c;
}
}
bestS = Math.max(75, Math.floor(bestS)); // Keep a minimum size floor
// Force the grid to perfectly adopt the optimal maximum square scale
grid.style.gridTemplateColumns = `repeat(${bestCols}, ${bestS}px)`;
grid.style.gridAutoRows = `${bestS}px`;
}
// Centralized measurement function shared by automatic updates and manual resizes
function getGalleryHeights() {
const baseHeight = node.computeSize()[1];
// Temporarily force natural height measurement using minimum settings
const oldHeight = container.style.height;
const oldCols = grid.style.gridTemplateColumns;
const oldRows = grid.style.gridAutoRows;
container.style.height = 'fit-content';
grid.style.gridTemplateColumns = `repeat(auto-fit, minmax(75px, 1fr))`;
grid.style.gridAutoRows = `max-content`;
const naturalGalleryHeight = container.offsetHeight || 100;
const minNodeHeight = baseHeight + naturalGalleryHeight + 15;
// Restore styles instantly
container.style.height = oldHeight;
grid.style.gridTemplateColumns = oldCols;
grid.style.gridAutoRows = oldRows;
return { baseHeight, minNodeHeight };
}
let isLayouting = false;
let isFirstLayout = true;
function updateLayout(forceHeight = null) {
if (isLayouting) return;
isLayouting = true;
const { baseHeight, minNodeHeight } = getGalleryHeights();
let targetW = Math.max(node.size[0], 240);
let targetH = forceHeight !== null ? forceHeight : node.size[1];
if (isFirstLayout) {
targetH = 0; // Force shrink to minimum bounds on initial load
isFirstLayout = false;
}
// Enforce minimum height
targetH = Math.max(targetH, minNodeHeight);
if (node.size[0] !== targetW || node.size[1] !== targetH) {
node.setSize([targetW, targetH]);
app.graph.setDirtyCanvas(true, true);
}
const availableGalleryHeight = targetH - baseHeight - 15;
container.style.height = availableGalleryHeight + "px";
// Recalculate and stretch image squares using the new node space
optimizeGrid(targetW, availableGalleryHeight);
isLayouting = false;
}
// Intercept user dragging the node corner to strictly enforce size constraints
const origOnResize = node.onResize;
node.onResize = function(size) {
if (origOnResize) origOnResize.call(this, size);
if (isLayouting) return; // Prevent duplicate cycles
const { baseHeight, minNodeHeight } = getGalleryHeights();
// Prevent user from making node smaller than the minimum content
size[0] = Math.max(size[0], 240);
size[1] = Math.max(size[1], minNodeHeight);
// Immediately apply the fluid heights for smooth dragging
const availableGalleryHeight = size[1] - baseHeight - 15;
container.style.height = availableGalleryHeight + "px";
// Expand the image slots instantly as you drag
optimizeGrid(size[0], availableGalleryHeight);
};
// Auto-adjust layout if dimensions change programmatically (e.g., undo/redo wrap reflows)
let lastWidth = -1;
let lastHeight = -1;
const resizeObserver = new ResizeObserver((entries) => {
for (const entry of entries) {
const currentWidth = entry.contentRect.width;
const currentHeight = entry.contentRect.height;
if ((lastWidth !== -1 && Math.abs(currentWidth - lastWidth) > 2) ||
(lastHeight !== -1 && Math.abs(currentHeight - lastHeight) > 2)) {
requestAnimationFrame(() => updateLayout());
}
lastWidth = currentWidth;
lastHeight = currentHeight;
}
});
resizeObserver.observe(container);
// --- 3. Logic: Gallery Rendering ---
let draggedNode = null;
let lastSwapX = 0;
let lastSwapY = 0;
let lastSwapTime = 0;
function refreshGallery(isRearranging = false) {
grid.innerHTML = "";
const paths = (pathsWidget.value || "").split(/\n|,/).map(s => s.trim()).filter(s => s);
if (!isRearranging) {
syncOutputs(paths.length);
}
// Cache image count on the node for easy access by connected nodes
node._imageCount = paths.length;
// Push notification: immediately tell connected nodes about the new count
notifyConnectedNodes(paths.length);
paths.forEach((path, index) => {
const item = document.createElement("div");
item.dataset.path = path; // Store path on the node for easy retrieval
item.draggable = true;
item.style.cssText = `
position: relative;
width: 100%;
height: 100%;
aspect-ratio: 1 / 1;
background: #000000;
border-radius: 4px;
border: 1px solid #444;
overflow: hidden;
cursor: grab;
display: flex;
align-items: center;
justify-content: center;
will-change: transform;
`;
const img = document.createElement("img");
img.src = `/api/view?filename=${encodeURIComponent(path)}&type=input`;
img.style.cssText = "max-width: 100%; max-height: 100%; object-fit: contain; pointer-events: none; display: block;";
// Delete Button
const del = document.createElement("div");
del.style.cssText = `
position: absolute; top: 0; right: 0;
background: #cc2222; color: white;
width: 18px; height: 18px;
display: flex; align-items: center; justify-content: center;
font-size: 14px; cursor: pointer; z-index: 10;
font-family: Arial, sans-serif; font-weight: bold;
line-height: 1; border-bottom-left-radius: 4px;
transition: background 0.2s;
`;
del.innerHTML = `<svg width="10" height="10" viewBox="0 0 10 10" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M1 1L9 9M9 1L1 9" stroke="white" stroke-width="2" stroke-linecap="round"/>
</svg>`;
del.onmouseenter = () => { del.style.background = "#ff3333"; };
del.onmouseleave = () => { del.style.background = "#cc2222"; };
del.onclick = (e) => {
e.stopPropagation();
const newPaths = paths.filter((_, i) => i !== index);
setWidgetValue(newPaths, false);
};
// Number Badge
const numBadge = document.createElement("div");
numBadge.style.cssText = `
position: absolute; bottom: 0; left: 0;
background: rgba(0, 0, 0, 0.75); color: #fff;
padding: 2px 6px; font-size: 11px; font-family: sans-serif;
font-weight: bold; border-top-right-radius: 4px; pointer-events: none;
z-index: 5;
`;
numBadge.innerText = (index + 1).toString();
// Dynamic Animated Drag & Drop Events
item.ondragstart = (e) => {
draggedNode = item;
// Delay opacity drop so the browser capture image remains opaque
setTimeout(() => {
if (draggedNode === item) {
item.style.opacity = "0.4";
item.style.pointerEvents = "none"; // Prevent drag ghost from capturing events
}
}, 0);
e.dataTransfer.effectAllowed = "move";
};
item.ondragend = () => {
if (draggedNode) {
draggedNode.style.opacity = "1";
draggedNode.style.pointerEvents = "auto";
}
draggedNode = null;
// The DOM visually reorders during dragover. Here we finalize it to data.
const newPaths = Array.from(grid.children).map(n => n.dataset.path);
const currentVal = (pathsWidget.value || "").trim();
if (newPaths.join("\n") !== currentVal) {
setWidgetValue(newPaths, true);
}
};
item.ondragover = (e) => {
e.preventDefault();
e.stopPropagation(); // Stop ComfyUI canvas listener from grabbing this internally
if (!draggedNode || draggedNode === item) return;
// ANTI-FLICKER 1: Prevent rapid swaps if the mouse hasn't moved physically.
// Reduced delay from 300ms to 50ms and distance to 5px to drastically improve responsiveness
// while still absorbing the immediate CSS transform shock.
const distMoved = Math.hypot(e.clientX - lastSwapX, e.clientY - lastSwapY);
if (Date.now() - lastSwapTime < 50 && distMoved < 5) {
return;
}
// ANTI-FLICKER 2: True logical target boundaries.
// Reduced the buffer from 25% down to 10%, meaning 80% of the target square
// is now an active drop zone, making it much easier to trigger a swap.
const gridRect = grid.getBoundingClientRect();
const mouseX = e.clientX - gridRect.left;
const mouseY = e.clientY - gridRect.top;
const left = item.offsetLeft;
const top = item.offsetTop;
const width = item.offsetWidth;
const height = item.offsetHeight;
const bufferX = width * 0.10;
const bufferY = height * 0.10;
if (mouseX < left + bufferX || mouseX > left + width - bufferX ||
mouseY < top + bufferY || mouseY > top + height - bufferY) {
return;
}
const items = Array.from(grid.children);
const draggedIdx = items.indexOf(draggedNode);
const targetIdx = items.indexOf(item);
// FLIP Animation Step 1: Record old positions
const rects = new Map();
items.forEach(node => rects.set(node, node.getBoundingClientRect()));
// Physically move the DOM element to the new slot
if (draggedIdx < targetIdx) {
grid.insertBefore(draggedNode, item.nextSibling);
} else {
grid.insertBefore(draggedNode, item);
}
// FLIP Animation Step 2: Calculate difference and animate
items.forEach(node => {
const oldRect = rects.get(node);
const newRect = node.getBoundingClientRect();
const dx = oldRect.left - newRect.left;
const dy = oldRect.top - newRect.top;
if (dx !== 0 || dy !== 0) {
// Instantly shift it visually back to the old spot
node.style.transition = 'none';
node.style.transform = `translate(${dx}px, ${dy}px)`;
// Force browser layout recalculation
node.offsetWidth;
// Turn on transition and remove transform so it glides to its real new position
node.style.transition = 'transform 0.3s cubic-bezier(0.25, 0.8, 0.25, 1)';
node.style.transform = '';
}
});
// Log the swap to lock out rapid feedback triggers
lastSwapX = e.clientX;
lastSwapY = e.clientY;
lastSwapTime = Date.now();
};
item.ondrop = (e) => {
e.preventDefault();
e.stopPropagation(); // Stop ComfyUI canvas listener
// Finalization is handled safely in ondragend
};
item.appendChild(img);
item.appendChild(del);
item.appendChild(numBadge);
grid.appendChild(item);
});
if (!isRearranging) {
requestAnimationFrame(() => updateLayout());
}
}
// --- 4. Logic: File Handling ---
async function handleFiles(files) {
const uploaded = [];
for (const file of files) {
const body = new FormData();
body.append("image", file);
try {
const resp = await api.fetchApi("/upload/image", { method: "POST", body });
if (resp.status === 200) {
const data = await resp.json();
let name = data.name;
if (data.subfolder) name = data.subfolder + "/" + name;
uploaded.push(name);
}
} catch (e) { console.error("Upload error", e); }
}
if (uploaded.length > 0) {
const current = (pathsWidget.value || "").trim();
const allPaths = current ? current.split('\n').concat(uploaded) : uploaded;
setWidgetValue(allPaths, false);
}
}
uploadBtn.onclick = () => fileInput.click();
fileInput.onchange = (e) => handleFiles(e.target.files);
container.ondragover = (e) => {
e.preventDefault();
e.stopPropagation(); // Prevent ComfyUI from seeing the drag event over this node
container.style.borderColor = "#4CAF50";
};
container.ondragleave = (e) => {
e.preventDefault();
e.stopPropagation(); // Prevent ComfyUI from seeing the drag event leave
container.style.borderColor = "#353545";
};
container.ondrop = (e) => {
e.preventDefault();
e.stopPropagation(); // Crucial: Stop ComfyUI from capturing the dropped file and making a LoadImage node!
container.style.borderColor = "#353545";
if (e.dataTransfer.files.length > 0) handleFiles(e.dataTransfer.files);
};
// --- 5. Logic: Paste Handling ---
const pasteHandler = (e) => {
// Only capture the paste if THIS specific node is currently selected in the graph
if (app.canvas.selected_nodes && app.canvas.selected_nodes[node.id]) {
const items = e.clipboardData?.items;
if (!items) return;
const files = [];
for (let i = 0; i < items.length; i++) {
if (items[i].kind === 'file' && items[i].type.startsWith('image/')) {
files.push(items[i].getAsFile());
}
}
if (files.length > 0) {
e.preventDefault();
e.stopImmediatePropagation(); // Crucial: Stops ComfyUI from turning the pasted image into a "Load Image" node
handleFiles(files);
}
}
};
// Use capture: true to intercept the event BEFORE ComfyUI's default global paste listener triggers
document.addEventListener("paste", pasteHandler, { capture: true });
// Clean up the global event listener if the node is deleted
const origOnRemoved = node.onRemoved;
node.onRemoved = function() {
document.removeEventListener("paste", pasteHandler, { capture: true });
if (origOnRemoved) origOnRemoved.apply(this, arguments);
};
// Hooks the main callback for external state loads (e.g., undo/redo or initial graph load)
pathsWidget.callback = (v) => {
if (oldCallback) oldCallback.apply(pathsWidget, [v]);
refreshGallery();
};
setTimeout(() => refreshGallery(), 100);
}
});

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import torch
import comfy.utils
from comfy_api.latest import io
class LTXKeyframer(io.ComfyNode):
@classmethod
def define_schema(cls):
inputs = [
io.Vae.Input("vae", tooltip="Video VAE used to encode the images"),
io.Latent.Input("latent", tooltip="Video latent to insert images into"),
io.Image.Input("multi_input", tooltip="Batched images from MultiImageLoader"),
]
inputs.append(io.Int.Input("num_images", default=1, min=0, max=50, step=1, display_name="images_loaded", tooltip="Select how many index/strength widgets to configure."))
for i in range(1, 51): # 1 to 50 images
inputs.extend([
io.Int.Input(
f"insert_frame_{i}",
default=0,
min=-9999,
max=9999,
step=1,
tooltip=f"Frame insert_frame for image {i} (in pixel space).",
optional=True,
),
io.Float.Input(
f"strength_{i}",
default=1.0,
min=0.0,
max=1.0,
step=0.01,
tooltip=f"Strength for image {i}.",
optional=True,
),
])
return io.Schema(
node_id="LTXKeyframer",
display_name="LTX Keyframer",
category="LTXVCustom",
description="Replaces video latent frames with the encoded input images. Number of widgets is dynamically configured.",
inputs=inputs,
outputs=[
io.Latent.Output(display_name="latent", tooltip="The video latent with the images inserted and latent noise mask updated."),
],
)
@classmethod
def execute(cls, vae, latent, multi_input, num_images, **kwargs) -> io.NodeOutput:
samples = latent["samples"].clone()
scale_factors = vae.downscale_index_formula
_, height_scale_factor, width_scale_factor = scale_factors
batch, _, latent_frames, latent_height, latent_width = samples.shape
width = latent_width * width_scale_factor
height = latent_height * height_scale_factor
# Get existing noise mask if present, otherwise create new one
if "noise_mask" in latent:
conditioning_latent_frames_mask = latent["noise_mask"].clone()
else:
conditioning_latent_frames_mask = torch.ones(
(batch, 1, latent_frames, 1, 1),
dtype=torch.float32,
device=samples.device,
)
batch_size = multi_input.shape[0] if multi_input is not None else 0
# We process inputs up to num_images, extracting values from kwargs
for i in range(1, num_images + 1):
# Skip if this image index exceeds the batch
if i > batch_size:
continue
image = multi_input[i-1:i] # Extract the single image frame from the batch
if image is None:
continue
insert_frame = kwargs.get(f"insert_frame_{i}")
if insert_frame is None:
continue
strength = kwargs.get(f"strength_{i}", 1.0)
if image.shape[1] != height or image.shape[2] != width:
pixels = comfy.utils.common_upscale(image.movedim(-1, 1), width, height, "bilinear", "center").movedim(1, -1)
else:
pixels = image
encode_pixels = pixels[:, :, :, :3]
t = vae.encode(encode_pixels)
# Convert pixel frame insert_frame to latent insert_frame
time_scale_factor = scale_factors[0]
# Handle negative indexing in pixel space
pixel_frame_count = (latent_frames - 1) * time_scale_factor + 1
if insert_frame < 0:
insert_frame = pixel_frame_count + insert_frame
# Convert to latent insert_frame
latent_idx = insert_frame // time_scale_factor
# Clamp to valid range
latent_idx = max(0, min(latent_idx, latent_frames - 1))
# Calculate end insert_frame, ensuring we don't exceed latent_frames
end_index = min(latent_idx + t.shape[2], latent_frames)
# Replace samples at the specified insert_frame range
samples[:, :, latent_idx:end_index] = t[:, :, :end_index - latent_idx]
# Update mask at the specified insert_frame range
conditioning_latent_frames_mask[:, :, latent_idx:end_index] = 1.0 - strength
return io.NodeOutput({"samples": samples, "noise_mask": conditioning_latent_frames_mask})

107
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from comfy_extras.nodes_lt import get_noise_mask, LTXVAddGuide
import torch
import comfy.utils
from comfy_api.latest import io
class LTXSequencer(LTXVAddGuide):
@classmethod
def define_schema(cls):
inputs = [
io.Conditioning.Input("positive", tooltip="Positive conditioning to which guide keyframe info will be added"),
io.Conditioning.Input("negative", tooltip="Negative conditioning to which guide keyframe info will be added"),
io.Vae.Input("vae", tooltip="Video VAE used to encode the guide images"),
io.Latent.Input("latent", tooltip="Video latent, guides are added to the end of this latent"),
io.Image.Input("multi_input", tooltip="Batched images from MultiImageLoader"),
]
inputs.append(io.Int.Input("num_images", default=1, min=0, max=50, step=1, display_name="images_loaded", tooltip="Select how many index/strength widgets to configure."))
for i in range(1, 51): # 1 to 50 images
inputs.extend([
io.Int.Input(
f"insert_frame_{i}",
default=0,
min=-9999,
max=9999,
step=1,
tooltip=f"Frame insert_frame for image {i} (in pixel space).",
optional=True,
),
io.Float.Input(
f"strength_{i}",
default=1.0,
min=0.0,
max=1.0,
step=0.01,
tooltip=f"Strength for image {i}.",
optional=True,
),
])
return io.Schema(
node_id="LTXSequencer",
display_name="LTX Sequencer",
category="LTXVCustom",
description="Add multiple guide images at specified frame indices with strengths. Number of widgets is dynamically configured.",
inputs=inputs,
outputs=[
io.Conditioning.Output(display_name="positive"),
io.Conditioning.Output(display_name="negative"),
io.Latent.Output(display_name="latent", tooltip="Video latent with added guides"),
],
)
@classmethod
def execute(cls, positive, negative, vae, latent, multi_input, num_images, **kwargs) -> io.NodeOutput:
scale_factors = vae.downscale_index_formula
# Clone latents to avoid overwriting previous nodes' operations
latent_image = latent["samples"].clone()
# Helper logic to fetch or generate a noise mask
if "noise_mask" in latent:
noise_mask = latent["noise_mask"].clone()
else:
batch, _, latent_frames, latent_height, latent_width = latent_image.shape
noise_mask = torch.ones(
(batch, 1, latent_frames, 1, 1),
dtype=torch.float32,
device=latent_image.device,
)
_, _, latent_length, latent_height, latent_width = latent_image.shape
batch_size = multi_input.shape[0] if multi_input is not None else 0
# Process inputs up to num_images, extracting dynamic frame/strength values from kwargs
for i in range(1, num_images + 1):
# Skip if this image index exceeds the batch
if i > batch_size:
continue
img = multi_input[i-1:i] # Extract the single image frame from the batch
if img is None:
continue
f_idx = kwargs.get(f"insert_frame_{i}")
if f_idx is None:
continue
strength = kwargs.get(f"strength_{i}", 1.0)
# Execution logic mirrored from LTXVAddGuideMulti
image_1, t = cls.encode(vae, latent_width, latent_height, img, scale_factors)
frame_idx, latent_idx = cls.get_latent_index(positive, latent_length, len(image_1), f_idx, scale_factors)
assert latent_idx + t.shape[2] <= latent_length, "Conditioning frames exceed the length of the latent sequence."
positive, negative, latent_image, noise_mask = cls.append_keyframe(
positive,
negative,
frame_idx,
latent_image,
noise_mask,
t,
strength,
scale_factors,
)
return io.NodeOutput(positive, negative, {"samples": latent_image, "noise_mask": noise_mask})

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multi_image_loader.py Normal file
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import torch
import numpy as np
from PIL import Image, ImageOps
import os
import folder_paths
import io
class MultiImageLoader:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"image_paths": ("STRING", {"default": "", "multiline": True}),
"width": ("INT", {"default": 0, "min": 0, "max": 8192, "step": 1}),
"height": ("INT", {"default": 0, "min": 0, "max": 8192, "step": 1}),
"upscale_method": (["lanczos", "bilinear", "nearest-exact"],),
"divisible_by": ("INT", {"default": 32, "min": 1, "max": 512, "step": 1}),
"img_compression": ("INT", {"default": 18, "min": 0, "max": 100, "step": 1}),
},
}
# Added "IMAGE" at the beginning for multi_output + 50 individual outputs = 51 outputs
RETURN_TYPES = ("IMAGE",) * 51
RETURN_NAMES = ("multi_output",) + tuple(f"image_{i+1}" for i in range(50))
FUNCTION = "load_images"
CATEGORY = "image"
def load_images(self, image_paths, width, height, upscale_method, divisible_by, img_compression):
results = []
valid_paths = [p.strip() for p in image_paths.split("\n") if p.strip()]
# Track the dimensions of the first processed image
first_target_w, first_target_h = None, None
for path in valid_paths:
try:
# Resolve full path
full_path = path
if not os.path.exists(full_path):
full_path = os.path.join(folder_paths.get_input_directory(), path)
if not os.path.exists(full_path):
print(f"Warning: Image path not found: {path}")
continue
image = Image.open(full_path)
image = ImageOps.exif_transpose(image)
image = image.convert("RGB")
orig_w, orig_h = image.size
target_w, target_h = width, height
if target_w == 0 and target_h == 0:
target_w, target_h = orig_w, orig_h
elif target_w == 0:
target_w = int(orig_w * (target_h / orig_h))
elif target_h == 0:
target_h = int(orig_h * (target_w / orig_w))
# Divisible by constraint
target_w = (target_w // divisible_by) * divisible_by
target_h = (target_h // divisible_by) * divisible_by
# To prevent torch.cat errors, ALL images in the batch must match the dimensions
# of the first successfully loaded image.
if first_target_w is None:
first_target_w, first_target_h = target_w, target_h
else:
target_w, target_h = first_target_w, first_target_h
if target_w != orig_w or target_h != orig_h:
resample = Image.LANCZOS if upscale_method == "lanczos" else Image.BILINEAR
image = image.resize((target_w, target_h), resample=resample)
# Compression
if img_compression > 0:
img_byte_arr = io.BytesIO()
image.save(img_byte_arr, format="JPEG", quality=max(1, 100 - img_compression))
image = Image.open(img_byte_arr)
image_np = np.array(image).astype(np.float32) / 255.0
results.append(torch.from_numpy(image_np)[None,])
except Exception as e:
print(f"Error loading {path}: {e}")
# Combine all successfully loaded images into a single batched tensor for multi_output
if len(results) > 0:
multi_output = torch.cat(results, dim=0)
else:
# Fallback empty tensor if no valid paths
multi_output = torch.zeros((1, 64, 64, 3))
results = [multi_output]
# Pad individual outputs exactly to length 50 as defined in RETURN_TYPES
padded_results = results + [torch.zeros((1, 64, 64, 3))] * (50 - len(results))
# Return the multi batch output first, followed by the individual padded items
return (multi_output, *padded_results[:50])