flatcherlee's picture
Upload 2334 files
3d5837a verified
import { app } from "../../../scripts/app.js";
// Adds a bunch of context menu entries for quickly adding common steps
function addMenuHandler(nodeType, cb) {
const getOpts = nodeType.prototype.getExtraMenuOptions;
nodeType.prototype.getExtraMenuOptions = function () {
const r = getOpts.apply(this, arguments);
cb.apply(this, arguments);
return r;
};
}
function getOrAddVAELoader(node) {
let vaeNode = app.graph._nodes.find((n) => n.type === "VAELoader");
if (!vaeNode) {
vaeNode = addNode("VAELoader", node);
}
return vaeNode;
}
function addNode(name, nextTo, options) {
options = { select: true, shiftY: 0, before: false, ...(options || {}) };
const node = LiteGraph.createNode(name);
app.graph.add(node);
node.pos = [
options.before ? nextTo.pos[0] - node.size[0] - 30 : nextTo.pos[0] + nextTo.size[0] + 30,
nextTo.pos[1] + options.shiftY,
];
if (options.select) {
app.canvas.selectNode(node, false);
}
return node;
}
app.registerExtension({
name: "pysssss.QuickNodes",
async beforeRegisterNodeDef(nodeType, nodeData, app) {
if (nodeData.input && nodeData.input.required) {
const keys = Object.keys(nodeData.input.required);
for (let i = 0; i < keys.length; i++) {
if (nodeData.input.required[keys[i]][0] === "VAE") {
addMenuHandler(nodeType, function (_, options) {
options.unshift({
content: "Use VAE",
callback: () => {
getOrAddVAELoader(this).connect(0, this, i);
},
});
});
break;
}
}
}
if (nodeData.name === "KSampler") {
addMenuHandler(nodeType, function (_, options) {
options.unshift(
{
content: "Add Blank Input",
callback: () => {
const imageNode = addNode("EmptyLatentImage", this, { before: true });
imageNode.connect(0, this, 3);
},
},
{
content: "Add Hi-res Fix",
callback: () => {
const upscaleNode = addNode("LatentUpscale", this);
this.connect(0, upscaleNode, 0);
const sampleNode = addNode("KSampler", upscaleNode);
for (let i = 0; i < 3; i++) {
const l = this.getInputLink(i);
if (l) {
app.graph.getNodeById(l.origin_id).connect(l.origin_slot, sampleNode, i);
}
}
upscaleNode.connect(0, sampleNode, 3);
},
},
{
content: "Add 2nd Pass",
callback: () => {
const upscaleNode = addNode("LatentUpscale", this);
this.connect(0, upscaleNode, 0);
const ckptNode = addNode("CheckpointLoaderSimple", this);
const sampleNode = addNode("KSampler", ckptNode);
const positiveLink = this.getInputLink(1);
const negativeLink = this.getInputLink(2);
const positiveNode = positiveLink
? app.graph.add(app.graph.getNodeById(positiveLink.origin_id).clone())
: addNode("CLIPTextEncode");
const negativeNode = negativeLink
? app.graph.add(app.graph.getNodeById(negativeLink.origin_id).clone())
: addNode("CLIPTextEncode");
ckptNode.connect(0, sampleNode, 0);
ckptNode.connect(1, positiveNode, 0);
ckptNode.connect(1, negativeNode, 0);
positiveNode.connect(0, sampleNode, 1);
negativeNode.connect(0, sampleNode, 2);
upscaleNode.connect(0, sampleNode, 3);
},
},
{
content: "Add Save Image",
callback: () => {
const decodeNode = addNode("VAEDecode", this);
this.connect(0, decodeNode, 0);
getOrAddVAELoader(decodeNode).connect(0, decodeNode, 1);
const saveNode = addNode("SaveImage", decodeNode);
decodeNode.connect(0, saveNode, 0);
},
}
);
});
}
if (nodeData.name === "CheckpointLoaderSimple") {
addMenuHandler(nodeType, function (_, options) {
options.unshift({
content: "Add Clip Skip",
callback: () => {
const clipSkipNode = addNode("CLIPSetLastLayer", this);
const clipLinks = this.outputs[1].links ? this.outputs[1].links.map((l) => ({ ...graph.links[l] })) : [];
this.disconnectOutput(1);
this.connect(1, clipSkipNode, 0);
for (const clipLink of clipLinks) {
clipSkipNode.connect(0, clipLink.target_id, clipLink.target_slot);
}
},
});
});
}
if (
nodeData.name === "CheckpointLoaderSimple" ||
nodeData.name === "CheckpointLoader" ||
nodeData.name === "CheckpointLoader|pysssss" ||
nodeData.name === "LoraLoader" ||
nodeData.name === "LoraLoader|pysssss"
) {
addMenuHandler(nodeType, function (_, options) {
function addLora(type) {
const loraNode = addNode(type, this);
const modelLinks = this.outputs[0].links ? this.outputs[0].links.map((l) => ({ ...graph.links[l] })) : [];
const clipLinks = this.outputs[1].links ? this.outputs[1].links.map((l) => ({ ...graph.links[l] })) : [];
this.disconnectOutput(0);
this.disconnectOutput(1);
this.connect(0, loraNode, 0);
this.connect(1, loraNode, 1);
for (const modelLink of modelLinks) {
loraNode.connect(0, modelLink.target_id, modelLink.target_slot);
}
for (const clipLink of clipLinks) {
loraNode.connect(1, clipLink.target_id, clipLink.target_slot);
}
}
options.unshift(
{
content: "Add LoRA",
callback: () => addLora.call(this, "LoraLoader"),
},
{
content: "Add 🐍 LoRA",
callback: () => addLora.call(this, "LoraLoader|pysssss"),
},
{
content: "Add Prompts",
callback: () => {
const positiveNode = addNode("CLIPTextEncode", this);
const negativeNode = addNode("CLIPTextEncode", this, { shiftY: positiveNode.size[1] + 30 });
this.connect(1, positiveNode, 0);
this.connect(1, negativeNode, 0);
},
}
);
});
}
},
});