Skip to content

GitLab

Switch branch/tag
Find file Normal viewHistoryPermalink
index.html 17.9 KB
Newer Older
comfyanonymous's avatar
Initial commit.  
comfyanonymous committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465 
<html>
<head>
	<link rel="stylesheet" type="text/css" href="litegraph.css">
	<script type="text/javascript" src="litegraph.core.js"></script>
</head>
<body style='width:100%; height:100%'>
<canvas id='mycanvas' width='1000' height='1000' style='width: 100%; height: 100%;'></canvas>
<script>
var graph = new LGraph();

var canvas = new LGraphCanvas("#mycanvas", graph);

const ccc = document.getElementById("mycanvas");
const ctx = ccc.getContext("2d");

// Resize the canvas to match the size of the canvas element
function resizeCanvas() {
  ccc.width = ccc.offsetWidth;
  ccc.height = ccc.offsetHeight;
  canvas.draw(true, true);
}
// call the function when the page loads
resizeCanvas();
// call the function when the window is resized
window.addEventListener("resize", resizeCanvas);


// var node_const = LiteGraph.createNode("basic/const");
// node_const.pos = [200,200];
// graph.add(node_const);
// node_const.setValue(4.5);
// 
// var node_watch = LiteGraph.createNode("basic/watch");
// node_watch.pos = [700,200];
// graph.add(node_watch);
// 
// node_const.connect(0, node_watch, 0 );

//node constructor class
// function MyAddNode()
// {
//   this.addInput("A","number");
//   this.addInput("B","number");
//   this.addInput("XXX","TESTESTE");
//   this.addInput("NNN","TESTES");
//   this.addOutput("A+B","number");
//   this.addOutput("TTT","TESTESTE");
//   this.properties = { precision: 1 };
// }

//name to show
// MyAddNode.title = "Sum";

//function to call when the node is executed
// MyAddNode.prototype.onExecute = function()
// {
//   var A = this.getInputData(0);
//   if( A === undefined )
//     A = 0;
//   var B = this.getInputData(1);
//   if( B === undefined )
//     B = 0;
//   this.setOutputData( 0, A + B );
// }

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}

function afterLoadGraph()
{
    let workflow = null;
    try {
        workflow = JSON.parse(localStorage.getItem("workflow"));
        graph.configure(workflow);
    } catch(err) {
    }

    if (!workflow) {
        graph.configure(default_graph);
    }

    function saveGraph() {
        localStorage.setItem("workflow", JSON.stringify(graph.serialize()));
    }

    setInterval(saveGraph, 1000);
    
}

function onObjectInfo(json) {
    for (let key in json) {
        function MyNode()
        {
            j = MyNode.__json_data;
            inp = j['input']['required'];
            this.class_comfy = MyNode.class_type_comfy;
            this._widgets = []
            min_height = 1;
            min_width = 1;
            for (let x in inp) {
                let default_val = min_val = max_val = step_val = undefined;
                if (inp[x].length > 1) {
                    default_val = inp[x][1]['default'];
                    min_val = inp[x][1]['min'];
                    max_val = inp[x][1]['max'];
                    step_val = inp[x][1]['step'];
                }

                let type = inp[x][0];
                if (Array.isArray(type)) {
                    w = this.addWidget("combo", x, type[0], function(v){}, { values: type } );
                    this._widgets += [w]
                } else if (type == "INT") {
                    if (default_val == undefined) default_val = 0;
                    if (min_val == undefined) min_val = 0;
                    if (max_val == undefined) max_val = 2048;
                    if (step_val == undefined) step_val = 1;
                    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} );
                    this._widgets += [w]
                    if (x == "seed") {
                        w1 = this.addWidget("toggle", "Random seed after every gen", true, function(v){}, { on: "enabled", off:"disabled"} );
                        w1.to_randomize = w;
                        this._widgets += [w1]
                    }
                } else if (type == "FLOAT") {
                    if (default_val == undefined) default_val = 0;
                    if (min_val == undefined) min_val = 0;
                    if (max_val == undefined) max_val = 2048;
                    if (step_val == undefined) step_val = 0.5;

                    // if (min_val == 0.0 && max_val == 1.0) {
                    //     w = this.slider = this.addWidget("slider", x, default_val, function(v){}, { min: min_val, max: max_val} );
                    // } else {
                        w = this.addWidget("number", x, default_val, function(v){}, { min: min_val, max: max_val, step: 10.0 * step_val} );
                    // }
                    this._widgets += [w]
                } else if (type == "STRING") {
                    var w = {
                        type: "customtext",
                        name: x,
                        get value() { return this.input_div.innerText;},
                        set value(x) { this.input_div.innerText = x;},
                        callback: function(v){console.log(v);},
                        options: {},
                        draw: function(ctx, node, widget_width, y, H){
                            var show_text = canvas.ds.scale > 0.5;
                            // this.input_div.style.top = `${y}px`;
                            let t = ctx.getTransform();
                            let margin = 15;
                            let x_div = t.a * margin * 2 + t.e;
                            let y_div = t.d * (y + H) + t.f;
                            let width_div = (widget_width - margin * 2) * t.a;
                            let height_div = (this.parent.size[1] - (y + H))* t.d;
                            this.input_div.style.left = `${x_div}px`;
                            this.input_div.style.top = `${y_div}px`;
                            this.input_div.style.width = width_div;
                            this.input_div.style.height = height_div;
                            this.input_div.style.position = 'absolute';
                            this.input_div.style.zIndex = 1;
                            this.input_div.style.fontSize = t.d * 10.0;

                            if (show_text) {
                                this.input_div.hidden = false;
                            } else {
                                this.input_div.hidden = true;
                            }

                            ctx.save();
                            // ctx.fillText(String(this.value).substr(0,30), 0, y + H * 0.7);
                            ctx.restore();
                        },
                    };
                    w.input_div = document.createElement('div');
                    w.input_div.contentEditable = true;
                    w.input_div.style.backgroundColor = "#FFFFFF";
                    w.input_div.style.overflow = 'hidden';
                    document.addEventListener('click', function(event) {
                        if (!w.input_div.contains(event.target)) {
                            w.input_div.blur();
                        }
                        });
                    w.parent = this;
                    min_height = Math.max(min_height, 200);
                    min_width = Math.max(min_width, 400);
                    ccc.parentNode.appendChild(w.input_div);

                    w = this.addCustomWidget(w);
                    // w = this.addWidget("text", x, "", function(v){}, { multiline:true } );
                    console.log(w, this);
                    this._widgets += [w]
                    this.onRemoved = function() {
                                for (let y in this.widgets) {
                                    if (this.widgets[y].input_div) {
                                        this.widgets[y].input_div.remove();
                                    }
                                }
                            }
                } else {
                    this.addInput(x, type);
                }
            }

            out = j['output'];
            for (let x in out) {
                this.addOutput(out[x], out[x]);
            }
            s = this.computeSize();
            s[0] *= 1.5;
            s[0] = Math.max(min_width, s[0]);
            s[1] = Math.max(min_height, s[1]);
            this.size = s;
            this.serialize_widgets = true;
        }
        MyNode.title = json[key]['name'];
        MyNode.class_type_comfy = json[key]['name'];
        MyNode.__json_data = json[key]

        LiteGraph.registerNodeType(key, MyNode);
        MyNode.category = "sd"; //TODO: proper categories
    };

    afterLoadGraph();
    // graph.configure(JSON.parse(base_txt2img_graph));
}

fetch("object_info", {cache: "no-store"})
  .then(response => response.json())
  .then(json => onObjectInfo(json));


//register in the system
graph.start();
// LiteGraph.registerNodeType("testing", MyAddNode);


graph.onNodeRemoved = function(n) {
    for (let y in n.widgets) {
        if (n.widgets[y].input_div) {
            n.widgets[y].input_div.remove();
        }
    }
}

function graphToPrompt() {
    let s = graph.serialize();
    let output = {};
    // console.log(s['nodes']);
    nodes = s['nodes']

    for (let x in nodes) {
        let n = graph.getNodeById(nodes[x].id);
        let input_ = {};
        for (let y in n.widgets) {
            input_[n.widgets[y].name] = n.widgets[y].value;
        }
        for (let y in n.inputs) {
            let parent_node = n.getInputNode(y);
            if (parent_node) {
                for (let z in parent_node.outputs) {
                    let c_nodes = parent_node.getOutputNodes(z);
                    // console.log(c_nodes, z);
                    if (c_nodes) {
                        for (let zz in c_nodes) {
                            if (c_nodes[zz].id == n.id) {
                                input_[n.inputs[y].name] = [String(parent_node.id), parseInt(z)];
                                break;
                            }
                        }
                    }
                }
            }
        }
        let node = {}
        node['inputs'] = input_;
        node['class_type'] = n.class_comfy;
        // inputs = x['inputs']
//         inputs['name'], inputs['id']
        // console.log(x, n);
        // console.log(node);
        output[String(n.id)] = node;
    }

    return output;
}


function promptPosted(data)
{
    if (data.status == 400) {
        data.text().then(dt => alert(dt));
        return;
    }

    let s = graph.serialize();
    let output = {};
    // console.log(s['nodes']);
    nodes = s['nodes']

    for (let x in nodes) {
        let n = graph.getNodeById(nodes[x].id);
        for (let w in n.widgets) {
            let wid = n.widgets[w];
            if (Object.hasOwn(wid, 'to_randomize')) {
                if (wid.value) {
                    wid.to_randomize.value = Math.floor(Math.random() * 1125899906842624);
                }
            }
        }
    }

    canvas.draw(true, true);
}

function postPrompt() {
    let prompt = graphToPrompt();
    let full_data = {prompt: prompt, extra_data: {extra_pnginfo: {workflow: graph.serialize()}}};

    fetch('/prompt', {
    method: 'POST',
    headers: {
        'Content-Type': 'application/json'
    },
    body: JSON.stringify(full_data)
    })
    .then(data => promptPosted(data))
    .catch(error => console.error(error))

    // console.log(JSON.stringify(prompt));
    // 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>