466 lines
18 KiB
HTML
466 lines
18 KiB
HTML
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<html>
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<head>
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<link rel="stylesheet" type="text/css" href="litegraph.css">
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<script type="text/javascript" src="litegraph.core.js"></script>
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</head>
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<body style='width:100%; height:100%'>
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<canvas id='mycanvas' width='1000' height='1000' style='width: 100%; height: 100%;'></canvas>
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<script>
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var graph = new LGraph();
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var canvas = new LGraphCanvas("#mycanvas", graph);
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const ccc = document.getElementById("mycanvas");
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const ctx = ccc.getContext("2d");
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// Resize the canvas to match the size of the canvas element
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function resizeCanvas() {
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ccc.width = ccc.offsetWidth;
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ccc.height = ccc.offsetHeight;
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canvas.draw(true, true);
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}
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// call the function when the page loads
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resizeCanvas();
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// call the function when the window is resized
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window.addEventListener("resize", resizeCanvas);
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// var node_const = LiteGraph.createNode("basic/const");
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// node_const.pos = [200,200];
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// graph.add(node_const);
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// node_const.setValue(4.5);
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//
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// var node_watch = LiteGraph.createNode("basic/watch");
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// node_watch.pos = [700,200];
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// graph.add(node_watch);
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//
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// node_const.connect(0, node_watch, 0 );
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//node constructor class
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// function MyAddNode()
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// {
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// this.addInput("A","number");
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// this.addInput("B","number");
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// this.addInput("XXX","TESTESTE");
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// this.addInput("NNN","TESTES");
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// this.addOutput("A+B","number");
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// this.addOutput("TTT","TESTESTE");
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// this.properties = { precision: 1 };
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// }
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//name to show
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// MyAddNode.title = "Sum";
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//function to call when the node is executed
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// MyAddNode.prototype.onExecute = function()
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// {
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// var A = this.getInputData(0);
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// if( A === undefined )
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// A = 0;
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// var B = this.getInputData(1);
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// if( B === undefined )
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// B = 0;
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// this.setOutputData( 0, A + B );
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// }
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var default_graph = {"last_node_id":9,"last_link_id":9,"nodes":[{"id":7,"type":"CLIPTextEncode","pos":[413,389],"size":{"0":425.27801513671875,"1":180.6060791015625},"flags":{},"order":3,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":5}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[6],"slot_index":0}],"properties":{},"widgets_values":["bad hands"]},{"id":6,"type":"CLIPTextEncode","pos":[415,186],"size":{"0":422.84503173828125,"1":164.31304931640625},"flags":{},"order":2,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":3}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[4],"slot_index":0}],"properties":{},"widgets_values":["masterpiece best quality girl"]},{"id":5,"type":"EmptyLatentImage","pos":[473,609],"size":{"0":315,"1":106},"flags":{},"order":1,"mode":0,"outputs":[{"name":"LATENT","type":"LATENT","links":[2],"slot_index":0}],"properties":{},"widgets_values":[512,512,1]},{"id":3,"type":"KSampler","pos":[863,186],"size":{"0":315,"1":262},"flags":{},"order":4,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":1},{"name":"positive","type":"CONDITIONING","link":4},{"name":"negative","type":"CONDITIONING","link":6},{"name":"latent_image","type":"LATENT","link":2}],"outputs":[{"name":"LATENT","type":"LATENT","links":[7],"slot_index":0}],"properties":{},"widgets_values":[8566257,true,20,8,"sample_euler","normal",1]},{"id":8,"type":"VAEDecode","pos":[1209,188],"size":{"0":210,"1":46},"flags":{},"order":5,"mode":0,"inputs":[{"name":"samples","type":"LATENT","link":7},{"name":"vae","type":"VAE","link":8}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[9],"slot_index":0}],"properties":{}},{"id":9,"type":"SaveImage","pos":[1451,189],"size":{"0":210,"1":26},"flags":{},"order":6,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":9}],"properties":{}},{"id":4,"type":"CheckpointLoader","pos":[26,474],"size":{"0":315,"1":122},"flags":{},"order":0,"mode":0,"outputs":[{"name":"MODEL","type":"MODEL","links":[1],"slot_index":0},{"name":"CLIP","type":"CLIP","links":[3,5],"slot_index":1},{"name":"VAE","type":"VAE","links":[8],"slot_index":2}],"properties":{},"widgets_values":["v1-inference.yaml","v1-5-pruned-emaonly.ckpt"]}],"links":[[1,4,0,3,0,"MODEL"],[2,5,0,3,3,"LATENT"],[3,4,1,6,0,"CLIP"],[4,6,0,3,1,"CONDITIONING"],[5,4,1,7,0,"CLIP"],[6,7,0,3,2,"CONDITIONING"],[7,3,0,8,0,"LATENT"],[8,4,2,8,1,"VAE"],[9,8,0,9,0,"IMAGE"]],"groups":[],"config":{},"extra":{},"version":0.4}
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function afterLoadGraph()
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{
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let workflow = null;
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try {
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workflow = JSON.parse(localStorage.getItem("workflow"));
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graph.configure(workflow);
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} catch(err) {
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}
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if (!workflow) {
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graph.configure(default_graph);
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}
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function saveGraph() {
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localStorage.setItem("workflow", JSON.stringify(graph.serialize()));
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}
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setInterval(saveGraph, 1000);
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}
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function onObjectInfo(json) {
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for (let key in json) {
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function MyNode()
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{
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j = MyNode.__json_data;
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inp = j['input']['required'];
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this.class_comfy = MyNode.class_type_comfy;
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this._widgets = []
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min_height = 1;
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min_width = 1;
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for (let x in inp) {
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let default_val = min_val = max_val = step_val = undefined;
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if (inp[x].length > 1) {
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default_val = inp[x][1]['default'];
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min_val = inp[x][1]['min'];
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max_val = inp[x][1]['max'];
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step_val = inp[x][1]['step'];
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}
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let type = inp[x][0];
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if (Array.isArray(type)) {
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w = this.addWidget("combo", x, type[0], function(v){}, { values: type } );
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this._widgets += [w]
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} else if (type == "INT") {
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if (default_val == undefined) default_val = 0;
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if (min_val == undefined) min_val = 0;
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if (max_val == undefined) max_val = 2048;
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if (step_val == undefined) step_val = 1;
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w = this.addWidget("number", x, default_val, function(v){let s = this.options.step / 10;this.value = Math.round( v / s ) * s;}, { min: min_val, max: max_val, step: 10.0 * step_val} );
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this._widgets += [w]
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if (x == "seed") {
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w1 = this.addWidget("toggle", "Random seed after every gen", true, function(v){}, { on: "enabled", off:"disabled"} );
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w1.to_randomize = w;
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this._widgets += [w1]
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}
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} else if (type == "FLOAT") {
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if (default_val == undefined) default_val = 0;
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if (min_val == undefined) min_val = 0;
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if (max_val == undefined) max_val = 2048;
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if (step_val == undefined) step_val = 0.5;
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// if (min_val == 0.0 && max_val == 1.0) {
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// w = this.slider = this.addWidget("slider", x, default_val, function(v){}, { min: min_val, max: max_val} );
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// } else {
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w = this.addWidget("number", x, default_val, function(v){}, { min: min_val, max: max_val, step: 10.0 * step_val} );
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// }
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this._widgets += [w]
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} else if (type == "STRING") {
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var w = {
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type: "customtext",
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name: x,
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get value() { return this.input_div.innerText;},
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set value(x) { this.input_div.innerText = x;},
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callback: function(v){console.log(v);},
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options: {},
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draw: function(ctx, node, widget_width, y, H){
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var show_text = canvas.ds.scale > 0.5;
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// this.input_div.style.top = `${y}px`;
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let t = ctx.getTransform();
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let margin = 15;
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let x_div = t.a * margin * 2 + t.e;
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let y_div = t.d * (y + H) + t.f;
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let width_div = (widget_width - margin * 2) * t.a;
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let height_div = (this.parent.size[1] - (y + H))* t.d;
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this.input_div.style.left = `${x_div}px`;
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this.input_div.style.top = `${y_div}px`;
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this.input_div.style.width = width_div;
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this.input_div.style.height = height_div;
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this.input_div.style.position = 'absolute';
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this.input_div.style.zIndex = 1;
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this.input_div.style.fontSize = t.d * 10.0;
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if (show_text) {
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this.input_div.hidden = false;
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} else {
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this.input_div.hidden = true;
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}
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ctx.save();
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// ctx.fillText(String(this.value).substr(0,30), 0, y + H * 0.7);
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ctx.restore();
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},
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};
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w.input_div = document.createElement('div');
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w.input_div.contentEditable = true;
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w.input_div.style.backgroundColor = "#FFFFFF";
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w.input_div.style.overflow = 'hidden';
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document.addEventListener('click', function(event) {
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if (!w.input_div.contains(event.target)) {
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w.input_div.blur();
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}
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});
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w.parent = this;
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min_height = Math.max(min_height, 200);
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min_width = Math.max(min_width, 400);
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ccc.parentNode.appendChild(w.input_div);
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w = this.addCustomWidget(w);
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// w = this.addWidget("text", x, "", function(v){}, { multiline:true } );
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console.log(w, this);
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this._widgets += [w]
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this.onRemoved = function() {
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for (let y in this.widgets) {
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if (this.widgets[y].input_div) {
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this.widgets[y].input_div.remove();
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}
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}
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}
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} else {
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this.addInput(x, type);
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}
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}
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out = j['output'];
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for (let x in out) {
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this.addOutput(out[x], out[x]);
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}
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s = this.computeSize();
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s[0] *= 1.5;
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s[0] = Math.max(min_width, s[0]);
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s[1] = Math.max(min_height, s[1]);
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this.size = s;
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this.serialize_widgets = true;
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}
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MyNode.title = json[key]['name'];
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MyNode.class_type_comfy = json[key]['name'];
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MyNode.__json_data = json[key]
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LiteGraph.registerNodeType(key, MyNode);
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MyNode.category = "sd"; //TODO: proper categories
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};
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afterLoadGraph();
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// graph.configure(JSON.parse(base_txt2img_graph));
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}
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fetch("object_info", {cache: "no-store"})
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.then(response => response.json())
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.then(json => onObjectInfo(json));
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//register in the system
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graph.start();
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// LiteGraph.registerNodeType("testing", MyAddNode);
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graph.onNodeRemoved = function(n) {
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for (let y in n.widgets) {
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if (n.widgets[y].input_div) {
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n.widgets[y].input_div.remove();
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}
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}
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}
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function graphToPrompt() {
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let s = graph.serialize();
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let output = {};
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// console.log(s['nodes']);
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nodes = s['nodes']
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for (let x in nodes) {
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let n = graph.getNodeById(nodes[x].id);
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let input_ = {};
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for (let y in n.widgets) {
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input_[n.widgets[y].name] = n.widgets[y].value;
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}
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for (let y in n.inputs) {
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let parent_node = n.getInputNode(y);
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if (parent_node) {
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for (let z in parent_node.outputs) {
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let c_nodes = parent_node.getOutputNodes(z);
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// console.log(c_nodes, z);
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if (c_nodes) {
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for (let zz in c_nodes) {
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if (c_nodes[zz].id == n.id) {
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input_[n.inputs[y].name] = [String(parent_node.id), parseInt(z)];
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break;
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}
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}
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}
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}
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}
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}
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let node = {}
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node['inputs'] = input_;
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node['class_type'] = n.class_comfy;
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// inputs = x['inputs']
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// inputs['name'], inputs['id']
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// console.log(x, n);
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// console.log(node);
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output[String(n.id)] = node;
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}
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return output;
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}
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function promptPosted(data)
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{
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if (data.status == 400) {
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data.text().then(dt => alert(dt));
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return;
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}
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let s = graph.serialize();
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let output = {};
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// console.log(s['nodes']);
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nodes = s['nodes']
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for (let x in nodes) {
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let n = graph.getNodeById(nodes[x].id);
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for (let w in n.widgets) {
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let wid = n.widgets[w];
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if (Object.hasOwn(wid, 'to_randomize')) {
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if (wid.value) {
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wid.to_randomize.value = Math.floor(Math.random() * 1125899906842624);
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}
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}
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}
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}
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canvas.draw(true, true);
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}
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function postPrompt() {
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let prompt = graphToPrompt();
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let full_data = {prompt: prompt, extra_data: {extra_pnginfo: {workflow: graph.serialize()}}};
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fetch('/prompt', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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},
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body: JSON.stringify(full_data)
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})
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.then(data => promptPosted(data))
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.catch(error => console.error(error))
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// console.log(JSON.stringify(prompt));
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// console.log(JSON.stringify(graph.serialize()));
|
||
|
|
}
|
||
|
|
|
||
|
|
|
||
|
|
function promptToGraph(prompt) {
|
||
|
|
for (let x in prompt) {
|
||
|
|
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
function prompt_file_load(file)
|
||
|
|
{
|
||
|
|
if (file.type === 'image/png') {
|
||
|
|
const reader = new FileReader();
|
||
|
|
reader.onload = (event) => {
|
||
|
|
// Get the PNG data as a Uint8Array
|
||
|
|
const pngData = new Uint8Array(event.target.result);
|
||
|
|
const dataView = new DataView(pngData.buffer);
|
||
|
|
|
||
|
|
// Check that the PNG signature is present
|
||
|
|
if (dataView.getUint32(0) !== 0x89504e47) {
|
||
|
|
console.error('Not a valid PNG file');
|
||
|
|
return;
|
||
|
|
}
|
||
|
|
|
||
|
|
// Start searching for chunks after the PNG signature
|
||
|
|
let offset = 8;
|
||
|
|
let txt_chunks = {}
|
||
|
|
// Loop through the chunks in the PNG file
|
||
|
|
while (offset < pngData.length) {
|
||
|
|
// Get the length of the chunk
|
||
|
|
const length = dataView.getUint32(offset);
|
||
|
|
// Get the chunk type
|
||
|
|
const type = String.fromCharCode(...pngData.slice(offset + 4, offset + 8));
|
||
|
|
if (type === 'tEXt') {
|
||
|
|
// Get the keyword
|
||
|
|
let keyword_end = offset + 8;
|
||
|
|
while (pngData[keyword_end] !== 0) {
|
||
|
|
keyword_end++;
|
||
|
|
}
|
||
|
|
const keyword = String.fromCharCode(...pngData.slice(offset + 8, keyword_end));
|
||
|
|
// Get the text
|
||
|
|
const text = String.fromCharCode(...pngData.slice(keyword_end + 1, offset + 8 + length));
|
||
|
|
txt_chunks[keyword] = text;
|
||
|
|
}
|
||
|
|
|
||
|
|
// Get the next chunk
|
||
|
|
offset += 12 + length;
|
||
|
|
}
|
||
|
|
console.log(txt_chunks);
|
||
|
|
console.log(JSON.parse(txt_chunks["prompt"]));
|
||
|
|
graph.configure(JSON.parse(txt_chunks["workflow"]));
|
||
|
|
};
|
||
|
|
reader.readAsArrayBuffer(file);
|
||
|
|
} else if (file.type === "application/json" || file.name.endsWith(".json")) {
|
||
|
|
var reader = new FileReader();
|
||
|
|
reader.onload = function() {
|
||
|
|
console.log(reader.result);
|
||
|
|
var jsonData = JSON.parse(reader.result);
|
||
|
|
graph.configure(jsonData);
|
||
|
|
};
|
||
|
|
reader.readAsText(file);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
// Get prompt from dropped PNG or json
|
||
|
|
document.addEventListener('drop', (event) => {
|
||
|
|
event.preventDefault();
|
||
|
|
event.stopPropagation();
|
||
|
|
const file = event.dataTransfer.files[0];
|
||
|
|
console.log(file.type);
|
||
|
|
prompt_file_load(file);
|
||
|
|
});
|
||
|
|
|
||
|
|
|
||
|
|
setInterval(function(){
|
||
|
|
fetch('/prompt')
|
||
|
|
.then(response => response.json())
|
||
|
|
.then(data => {
|
||
|
|
document.getElementById("queuesize").innerHTML = "Queue size: " + data.exec_info.queue_remaining + "";
|
||
|
|
}).catch((response) => {document.getElementById("queuesize").innerHTML = "Queue size: ERR"});
|
||
|
|
}, 500);
|
||
|
|
|
||
|
|
function clearGraph() {
|
||
|
|
graph.clear();
|
||
|
|
}
|
||
|
|
|
||
|
|
function loadTxt2Img() {
|
||
|
|
graph.configure(default_graph);
|
||
|
|
}
|
||
|
|
|
||
|
|
function saveGraph() {
|
||
|
|
var json = JSON.stringify(graph.serialize()); // convert the data to a JSON string
|
||
|
|
var blob = new Blob([json], {type: "application/json"});
|
||
|
|
var url = URL.createObjectURL(blob);
|
||
|
|
var a = document.createElement("a");
|
||
|
|
a.style = "display: none";
|
||
|
|
a.href = url;
|
||
|
|
a.download = "workflow.json";
|
||
|
|
document.body.appendChild(a);
|
||
|
|
a.click();
|
||
|
|
setTimeout(function() {
|
||
|
|
document.body.removeChild(a);
|
||
|
|
window.URL.revokeObjectURL(url);
|
||
|
|
}, 0);
|
||
|
|
}
|
||
|
|
|
||
|
|
var input = document.createElement("input");
|
||
|
|
input.setAttribute("type", "file");
|
||
|
|
input.setAttribute("accept", ".json,image/png");
|
||
|
|
input.style.display = "none";
|
||
|
|
document.body.appendChild(input);
|
||
|
|
|
||
|
|
input.addEventListener('change', function() {
|
||
|
|
var file = input.files[0];
|
||
|
|
prompt_file_load(file);
|
||
|
|
|
||
|
|
});
|
||
|
|
|
||
|
|
function loadGraph() {
|
||
|
|
input.click();
|
||
|
|
}
|
||
|
|
|
||
|
|
|
||
|
|
</script>
|
||
|
|
|
||
|
|
<span style="font-size: 15px;position: absolute; top: 50%; right: 0%; background-color: white; text-align: center;">
|
||
|
|
<span id="queuesize">Queue size: X</span><br>
|
||
|
|
<button style="font-size: 20px;" id="queuebutton" onclick="postPrompt()">Queue Prompt</button><br>
|
||
|
|
<br>
|
||
|
|
<br>
|
||
|
|
<button style="font-size: 20px;" onclick="saveGraph()">Save</button><br>
|
||
|
|
<button style="font-size: 20px;" onclick="loadGraph()">Load</button><br>
|
||
|
|
<button style="font-size: 20px;" onclick="clearGraph()">Clear</button><br>
|
||
|
|
<button style="font-size: 20px;" onclick="loadTxt2Img()">Load Default</button><br>
|
||
|
|
</span>
|
||
|
|
</body>
|
||
|
|
</html>
|