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Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
60 lines
2.0 KiB
JavaScript
60 lines
2.0 KiB
JavaScript
import { app } from "../../scripts/app.js";
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import { RgthreeBaseServerNode } from "./base_node.js";
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import { NodeTypesString } from "./constants.js";
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class ImageInsetCrop extends RgthreeBaseServerNode {
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constructor(title = ImageInsetCrop.title) {
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super(title);
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}
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onAdded(graph) {
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const measurementWidget = this.widgets[0];
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let callback = measurementWidget.callback;
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measurementWidget.callback = (...args) => {
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this.setWidgetStep();
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callback && callback.apply(measurementWidget, [...args]);
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};
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this.setWidgetStep();
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}
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configure(info) {
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super.configure(info);
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this.setWidgetStep();
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}
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setWidgetStep() {
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const measurementWidget = this.widgets[0];
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for (let i = 1; i <= 4; i++) {
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if (measurementWidget.value === "Pixels") {
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this.widgets[i].options.step = 80;
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this.widgets[i].options.max = ImageInsetCrop.maxResolution;
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}
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else {
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this.widgets[i].options.step = 10;
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this.widgets[i].options.max = 99;
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}
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}
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}
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async handleAction(action) {
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if (action === "Reset Crop") {
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for (const widget of this.widgets) {
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if (["left", "right", "top", "bottom"].includes(widget.name)) {
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widget.value = 0;
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}
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}
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}
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}
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static setUp(comfyClass, nodeData) {
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RgthreeBaseServerNode.registerForOverride(comfyClass, nodeData, ImageInsetCrop);
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}
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}
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ImageInsetCrop.title = NodeTypesString.IMAGE_INSET_CROP;
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ImageInsetCrop.type = NodeTypesString.IMAGE_INSET_CROP;
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ImageInsetCrop.comfyClass = NodeTypesString.IMAGE_INSET_CROP;
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ImageInsetCrop.exposedActions = ["Reset Crop"];
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ImageInsetCrop.maxResolution = 8192;
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app.registerExtension({
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name: "rgthree.ImageInsetCrop",
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async beforeRegisterNodeDef(nodeType, nodeData) {
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if (nodeData.name === NodeTypesString.IMAGE_INSET_CROP) {
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ImageInsetCrop.setUp(nodeType, nodeData);
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}
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},
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});
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