Add custom nodes, Civitai loras (LFS), and vast.ai setup script

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>

custom_nodes/ComfyUI-Easy-Use/web_version/v1/js/image.js

@@ -0,0 +1,66 @@
+import { app } from "../../../scripts/app.js";
+
+
+app.registerExtension({
+    name: "comfy.easyUse.imageWidgets",
+
+    nodeCreated(node) {
+        if (["easy imageSize","easy imageSizeBySide","easy imageSizeByLongerSide","easy imageSizeShow", "easy imageRatio", "easy imagePixelPerfect"].includes(node.comfyClass)) {
+
+			const inputEl = document.createElement("textarea");
+			inputEl.className = "comfy-multiline-input";
+			inputEl.readOnly = true
+
+			const widget = node.addDOMWidget("info", "customtext", inputEl, {
+				getValue() {
+					return inputEl.value;
+				},
+				setValue(v) {
+					inputEl.value = v;
+				},
+				serialize: false
+			});
+			widget.inputEl = inputEl;
+
+			inputEl.addEventListener("input", () => {
+				widget.callback?.(widget.value);
+			});
+        }
+    },
+
+    beforeRegisterNodeDef(nodeType, nodeData, app) {
+        if (["easy imageSize","easy imageSizeBySide","easy imageSizeByLongerSide", "easy imageSizeShow", "easy imageRatio", "easy imagePixelPerfect"].includes(nodeData.name)) {
+			function populate(arr_text) {
+				var text = '';
+				for (let i = 0; i < arr_text.length; i++){
+					text += arr_text[i];
+				}
+				if (this.widgets) {
+					const pos = this.widgets.findIndex((w) => w.name === "info");
+					if (pos !== -1 && this.widgets[pos]) {
+						const w = this.widgets[pos]
+						w.value = text;
+					}
+				}
+				requestAnimationFrame(() => {
+					const sz = this.computeSize();
+					if (sz[0] < this.size[0]) {
+						sz[0] = this.size[0];
+					}
+					if (sz[1] < this.size[1]) {
+						sz[1] = this.size[1];
+					}
+					this.onResize?.(sz);
+					app.graph.setDirtyCanvas(true, false);
+				});
+			}
+
+			// When the node is executed we will be sent the input text, display this in the widget
+			const onExecuted = nodeType.prototype.onExecuted;
+			nodeType.prototype.onExecuted = function (message) {
+				onExecuted?.apply(this, arguments);
+				populate.call(this, message.text);
+			};
+		}
+    }
+})