Nodes now support single line string properties.

Resize nodes automatically if they are too small because of added properties.

nodes.py

@@ -28,7 +28,7 @@ def filter_files_extensions(files, extensions):
 class CLIPTextEncode:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": {"text": ("STRING", ), "clip": ("CLIP", )}}
+        return {"required": {"text": ("STRING", {"multiline": True}), "clip": ("CLIP", )}}
     RETURN_TYPES = ("CONDITIONING",)
     FUNCTION = "encode"
 

webshit/index.html

@@ -65,17 +65,29 @@ window.addEventListener("resize", resizeCanvas);
 
 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 loadGraphData(graph, graph_data)
+{
+    graph.configure( graph_data);
+    for (let n in graph._nodes) {
+        n = graph._nodes[n];
+        s = n.computeSize();
+        s[0] = Math.max(n.size[0], s[0]);
+        s[1] = Math.max(n.size[1], s[1]);
+        n.size = s;
+    }
+}
+
 function afterLoadGraph()
 {
     let workflow = null;
     try {
         workflow = JSON.parse(localStorage.getItem("workflow"));
-        graph.configure(workflow);
+        loadGraphData(graph, workflow);
     } catch(err) {
     }
 
     if (!workflow) {
-        graph.configure(default_graph);
+        loadGraphData(graph, default_graph);
     }
 
     function saveGraph() {
@@ -97,12 +109,13 @@ function onObjectInfo(json) {
             min_height = 1;
             min_width = 1;
             for (let x in inp) {
-                let default_val = min_val = max_val = step_val = undefined;
+                let default_val = min_val = max_val = step_val = multiline = 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'];
+                    multiline = inp[x][1]['multiline'];
                 }
 
                 let type = inp[x][0];
@@ -134,6 +147,10 @@ function onObjectInfo(json) {
                     // }
                     this._widgets += [w]
                 } else if (type == "STRING") {
+                    if (default_val == undefined) default_val = "";
+                    if (multiline == undefined) multiline = false;
+
+                    if (multiline) {
                         var w = {
                             type: "customtext",
                             name: x,
@@ -173,6 +190,7 @@ function onObjectInfo(json) {
                         w.input_div.contentEditable = true;
                         w.input_div.style.backgroundColor = "#FFFFFF";
                         w.input_div.style.overflow = 'hidden';
+                        w.input_div.innerText = default_val;
                         document.addEventListener('click', function(event) {
                             if (!w.input_div.contains(event.target)) {
                                 w.input_div.blur();
@@ -194,6 +212,10 @@ function onObjectInfo(json) {
                                         }
                                     }
                                 }
+                    } else {
+                        w = this.addWidget("text", x, default_val, function(v){}, { multiline:false } );
+                        this._widgets += [w];
+                    }
                 } else {
                     this.addInput(x, type);
                 }
@@ -219,7 +241,7 @@ function onObjectInfo(json) {
     };
 
     afterLoadGraph();
-    // graph.configure(JSON.parse(base_txt2img_graph));
+    // loadGraphData(graph, JSON.parse(base_txt2img_graph));
 }
 
 fetch("object_info", {cache: "no-store"})
@@ -376,7 +398,7 @@ function prompt_file_load(file)
             }
             console.log(txt_chunks);
             console.log(JSON.parse(txt_chunks["prompt"]));
-            graph.configure(JSON.parse(txt_chunks["workflow"]));
+            loadGraphData(graph, JSON.parse(txt_chunks["workflow"]));
         };
         reader.readAsArrayBuffer(file);
     } else if (file.type === "application/json" || file.name.endsWith(".json")) {
@@ -384,7 +406,7 @@ function prompt_file_load(file)
         reader.onload = function() {
             console.log(reader.result);
             var jsonData = JSON.parse(reader.result);
-            graph.configure(jsonData);
+            loadGraphData(graph, jsonData);
         };
         reader.readAsText(file);
     }
@@ -413,7 +435,7 @@ function clearGraph() {
 }
 
 function loadTxt2Img() {
-    graph.configure(default_graph);
+    loadGraphData(graph, default_graph);
 }
 
 function saveGraph() {