From 2e87134faa2f01816d198b3e066089d963c1976e Mon Sep 17 00:00:00 2001 From: Enrico Date: Wed, 18 Sep 2024 01:38:26 +0200 Subject: [PATCH 01/15] wierdly broken --- Alignment.py | 2 +- Compositor3.py | 3 +++ __init__.py | 8 +++--- web/alignment.js | 64 ++++++++++++++++++++++++++++++++++++++++++++++ web/compositor3.js | 63 +++++++++++++++++++++++++++++++++------------ 5 files changed, 119 insertions(+), 21 deletions(-) create mode 100644 web/alignment.js diff --git a/Alignment.py b/Alignment.py index 3c68071..75cfe40 100644 --- a/Alignment.py +++ b/Alignment.py @@ -8,7 +8,7 @@ def INPUT_TYPES(cls): } RETURN_TYPES = ("BOOLEAN",) - RETURN_NAMES = ("composite",) + RETURN_NAMES = ("tools",) FUNCTION = "run" CATEGORY = "image" diff --git a/Compositor3.py b/Compositor3.py index e0e8262..ca4118f 100644 --- a/Compositor3.py +++ b/Compositor3.py @@ -35,6 +35,9 @@ def INPUT_TYPES(cls): "fabricData": ("STRING", {"default": "{}"}), "imageName": ("STRING", {"default": "new.png"}), }, + "optional": { + "tools": ("BOOLEAN", {"forceInput": True, "default": True}), + }, "hidden": { "extra_pnginfo": "EXTRA_PNGINFO", "node_id": "UNIQUE_ID", diff --git a/__init__.py b/__init__.py index f3138a8..48e59fb 100644 --- a/__init__.py +++ b/__init__.py @@ -19,10 +19,10 @@ NODE_DISPLAY_NAME_MAPPINGS = { #"Compositor": "Compositor", #"CompositorConfig": "CompositorConfig", - "Compositor3": "💜 Compositor V3", - "CompositorConfig3": "💜 Compositor Config V3", - "Alignment": "Alignment", - "CompositorTransformsOutV3": "💜 Compositor Transforms Output V3", + "Compositor3": "💜 Compositor (V3)", + "CompositorConfig3": "💜 Compositor Config (V3)", + "Alignment": "💜 Compositor Tools (V3)", + "CompositorTransformsOutV3": "💜 Compositor Transforms Output (V3)", } EXTENSION_NAME = "Enrico" diff --git a/web/alignment.js b/web/alignment.js new file mode 100644 index 0000000..ce043e7 --- /dev/null +++ b/web/alignment.js @@ -0,0 +1,64 @@ +import {app} from "../../scripts/app.js"; +import {api} from "../../scripts/api.js"; + + +function isType(comfyClass, node) { + return node.constructor.comfyClass == comfyClass; +} + +function getWidget(node, widgetName) { + return node.widgets.find((w) => w.name === widgetName); +} + +app.registerExtension({ + name: "Comfy.Alignment", + async getCustomWidgets(app) { + }, + async setup(app) { + }, + async init(args) { + }, + async beforeRegisterNodeDef(nodeType, nodeData, app) { + }, + + async loadedGraphNode(node, app) { + }, + // async afterConfigureGraph(args) { + // // not enough to do here, also in node created (for later or connection changed) + // console.log("after configure graph") + // // To do something when a workflow has loaded, use afterConfigureGraph, not setup + // // console.log("afterConfigureGraph", args); + // + // + // const tools = app.graph.findNodesByType("Alignment"); + // tools.forEach((node) => { + // const CHANNELNAME = `Tools${node.id}`; + // console.log(CHANNELNAME) + // const channel = new BroadcastChannel(CHANNELNAME); + // + // node["togglePreciseSelection"] = () => { + // //console.log(arguments); + // channel.postMessage({value: node.preciseSelection.value, nodeId: node.id}); + // + // } + // + // + // node.preciseSelection = node.addWidget("toggle", "preciseSelection", false, node.togglePreciseSelection); + // //node.preciseSelection.serialize = ()=>{} + // node.setDirtyCanvas(true, true); + // }) + // }, + async nodeCreated(node) { + if (!isType("Alignment", node)) return; + console.log("better log it"); + node.serialize_widgets = false; + node.isVirtualNode = true; + }, +}); + + + + + + + diff --git a/web/compositor3.js b/web/compositor3.js index cae815e..d0aacf8 100644 --- a/web/compositor3.js +++ b/web/compositor3.js @@ -152,7 +152,7 @@ app.registerExtension({ const nodeId = event.detail.node; const node = Editor.hook(nodeId); if (node.type != "Compositor3") { - console.log(node.type); + // console.log(node.type); return; } @@ -188,15 +188,15 @@ app.registerExtension({ /** important messaging considerations https://docs.comfy.org/essentials/comms_messages */ function configureHandler() { - console.log("configurehanlder", arguments); + //console.log("configurehanlder", arguments); } function executionStartHandler() { - console.log("executionStartHandler", arguments); + //console.log("executionStartHandler", arguments); } function executionCachedHandler() { - console.log("executionCachedHandler", arguments); + //console.log("executionCachedHandler", arguments); } function graphChangedHandler() { @@ -204,7 +204,7 @@ app.registerExtension({ } function changeWorkflowHandler() { - console.log("changeWorkflowHandler", arguments); + //console.log("changeWorkflowHandler", arguments); } @@ -324,19 +324,40 @@ app.registerExtension({ // console.log("afterConfigureGraph", args); + // reset the config timestamp, to ensure re-triggering const configs = app.graph.findNodesByType("CompositorConfig3"); configs.forEach((c) => { const initialized = getCompositorWidget(c, "initialized"); initialized.value = Date.now(); }) + // setup broadcast channel, also needs to be done on node created or connection change... const nodes = app.graph.findNodesByType("Compositor3"); // probably too late here as it's already running in the back - // nodes.forEach((current) => { - // const config = current.getInputNode(0); - // // console.log("looping afterconfiguregraph compostior node", current); - // // console.log("looping afterconfiguregraph compostior node configs", config); - // }) + nodes.forEach((current) => { + const tools = current.getInputNode(1); + //const tools = Editor.getToolWidget(this); + const CHANNELNAME = `Tools${tools.id}`; + //console.log(CHANNELNAME) + const channel = new BroadcastChannel(CHANNELNAME); + channel.addEventListener("message", (e) => { + const optionValue = e.data.value; + current.compositorInstance.preciseSelection = optionValue; + const c = current.compositorInstance.fcanvas; + c.getObjects().map(function (i) { + return i.set('perPixelTargetFind', optionValue); + }); + + }); + + current.channel = channel; + + + + + // console.log("looping afterconfiguregraph compostior node", current); + // console.log("looping afterconfiguregraph compostior node configs", config); + }) app.graph.setDirtyCanvas(true, true); }, /** @@ -357,8 +378,8 @@ app.registerExtension({ node.imageNameWidget = getCompositorWidget(node, "imageName"); const originalCallback = node.imageNameWidget.callback; node.imageNameWidget.callback = () => { - debugger; - console.log("callback of imageNameWidget with ", arguments); + //debugger; + //console.log("callback of imageNameWidget with ", arguments); originalCallback(arguments); } node.imageNameWidget.computeSize = () => [0, 0]; @@ -395,7 +416,7 @@ app.registerExtension({ node.continue = node.addWidget("button", "continue", "continue", compositorInstance.continue.bind(compositorInstance)); node.onMouseOut = function (e, pos, canvas) { - console.log("mouseout") + // console.log("mouseout") const original_onMouseDown = node.onMouseOut; return original_onMouseDown?.apply(this, arguments); } @@ -455,6 +476,7 @@ class Editor { compositionArea; compositionBorder; + preciseSelection = false; /** (widget) references / config params*/ p; @@ -517,6 +539,12 @@ class Editor { const connected = node.getInputNode(0); return connected.widgets[slot].value; } + static getToolWidget(instance) { + // console.log(node, slot); + return instance.node.getInputNode(1); + + } + /** * in CompositorConfig @@ -618,6 +646,7 @@ class Editor { static createCanvasElement() { const canvas = document.createElement("canvas"); + canvas.id = Editor.getRandomCompositorUniqueId(); return canvas; } @@ -841,7 +870,7 @@ class Editor { /** this can't be async so resort to promise resolving and callbacks */ grabUploadAndSetOutput(setDone, callback) { - console.log("capture"); + // console.log("capture"); // console.log("grap upload and set output") // prepare the image const img = new Image(); @@ -986,7 +1015,7 @@ class Editor { }); this.fcanvas.on('mouse:out', function (opt) { - console.log("mouseout") + // console.log("mouseout") // moving outside editor, this might fail to be intercepted depending on how full the // canvas is if (opt.target === null || opt.target === undefined || opt.target && opt.nextTarget===undefined) { @@ -995,7 +1024,7 @@ class Editor { }); this.fcanvas.on('object:modified', function (opt) { - console.log(this, compositorInstance); + // console.log(this, compositorInstance); // mark as needing upload so when we mouse out we doit then reset // mouse out is flimsy, sometimes it's not triggering compositorInstance.needsUpload = true; @@ -1133,6 +1162,8 @@ class Editor { //this.canvasEl.id = 'test'; // ditor.getRandomCompositorUniqueId(); this.canvasEl.id = Editor.getRandomCompositorUniqueId(); this.containerDiv.appendChild(this.canvasEl); + + this.containerDiv.style.overflow ="hidden"; this.canvasEl.width = this.w.value + 2 * this.p.value; this.canvasEl.height = this.h.value + 2 * this.p.value; From cf713a9848b8a91e08d88e1428a7d920e9db51d6 Mon Sep 17 00:00:00 2001 From: Enrico Date: Wed, 18 Sep 2024 12:01:32 +0200 Subject: [PATCH 02/15] rebased and re-introduced --- web/alignment.js | 50 ++++++++++++++++++++++++------------------------ 1 file changed, 25 insertions(+), 25 deletions(-) diff --git a/web/alignment.js b/web/alignment.js index ce043e7..257ba82 100644 --- a/web/alignment.js +++ b/web/alignment.js @@ -23,31 +23,31 @@ app.registerExtension({ async loadedGraphNode(node, app) { }, - // async afterConfigureGraph(args) { - // // not enough to do here, also in node created (for later or connection changed) - // console.log("after configure graph") - // // To do something when a workflow has loaded, use afterConfigureGraph, not setup - // // console.log("afterConfigureGraph", args); - // - // - // const tools = app.graph.findNodesByType("Alignment"); - // tools.forEach((node) => { - // const CHANNELNAME = `Tools${node.id}`; - // console.log(CHANNELNAME) - // const channel = new BroadcastChannel(CHANNELNAME); - // - // node["togglePreciseSelection"] = () => { - // //console.log(arguments); - // channel.postMessage({value: node.preciseSelection.value, nodeId: node.id}); - // - // } - // - // - // node.preciseSelection = node.addWidget("toggle", "preciseSelection", false, node.togglePreciseSelection); - // //node.preciseSelection.serialize = ()=>{} - // node.setDirtyCanvas(true, true); - // }) - // }, + async afterConfigureGraph(args) { + // not enough to do here, also in node created (for later or connection changed) + console.log("after configure graph") + // To do something when a workflow has loaded, use afterConfigureGraph, not setup + // console.log("afterConfigureGraph", args); + + + const tools = app.graph.findNodesByType("Alignment"); + tools.forEach((node) => { + const CHANNELNAME = `Tools${node.id}`; + console.log(CHANNELNAME) + const channel = new BroadcastChannel(CHANNELNAME); + + node["togglePreciseSelection"] = () => { + //console.log(arguments); + channel.postMessage({value: node.preciseSelection.value, nodeId: node.id}); + + } + + + node.preciseSelection = node.addWidget("toggle", "preciseSelection", false, node.togglePreciseSelection); + //node.preciseSelection.serialize = ()=>{} + node.setDirtyCanvas(true, true); + }) + }, async nodeCreated(node) { if (!isType("Alignment", node)) return; console.log("better log it"); From 2d066aadc0232d0a4feabe92ee54b95fe3609adc Mon Sep 17 00:00:00 2001 From: Enrico Date: Wed, 18 Sep 2024 12:26:47 +0200 Subject: [PATCH 03/15] added icon --- pyproject.toml | 2 +- web/compositor3.js | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 00e27df..34c0e72 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,4 +12,4 @@ Repository = "https://github.com/erosDiffusion/ComfyUI-enricos-nodes" [tool.comfy] PublisherId = "erosdiffusion" DisplayName = "ComfyUI-enricos-nodes" -Icon = "" +Icon = "💜" diff --git a/web/compositor3.js b/web/compositor3.js index d0aacf8..d63a747 100644 --- a/web/compositor3.js +++ b/web/compositor3.js @@ -736,6 +736,7 @@ class Editor { const oldTransform = this.getOldTransform(index); // Remove the old image from the canvas this.fcanvas.remove(this.inputImages[this.imageNameAt(index)]); + // this breaks if we have width and height so renamed to xwidth and xheight theImage.set(oldTransform); this.fcanvas.add(theImage); this.inputImages[this.imageNameAt(index)] = theImage; From 04900cfb5654b372d42b8f7140fef35c4855f08d Mon Sep 17 00:00:00 2001 From: Enrico Date: Wed, 18 Sep 2024 13:11:14 +0200 Subject: [PATCH 04/15] reset transforms work in progress --- web/alignment.js | 11 +++++- web/compositor3.js | 98 ++++++++++++++++++++++++++++++++++++---------- 2 files changed, 87 insertions(+), 22 deletions(-) diff --git a/web/alignment.js b/web/alignment.js index 257ba82..678bd42 100644 --- a/web/alignment.js +++ b/web/alignment.js @@ -24,7 +24,7 @@ app.registerExtension({ async loadedGraphNode(node, app) { }, async afterConfigureGraph(args) { - // not enough to do here, also in node created (for later or connection changed) + // not enough to do here only we also in node created (for later or connection changed) console.log("after configure graph") // To do something when a workflow has loaded, use afterConfigureGraph, not setup // console.log("afterConfigureGraph", args); @@ -38,12 +38,19 @@ app.registerExtension({ node["togglePreciseSelection"] = () => { //console.log(arguments); - channel.postMessage({value: node.preciseSelection.value, nodeId: node.id}); + channel.postMessage({action:"togglePreciseSelection",value: node.preciseSelection.value, nodeId: node.id}); + + } + + node["resetTransforms"] = () => { + //console.log(arguments); + channel.postMessage({action:"resetTransforms",value: true, nodeId: node.id}); } node.preciseSelection = node.addWidget("toggle", "preciseSelection", false, node.togglePreciseSelection); + node.resetTransforms = node.addWidget("button", "resetTransforms", false, node.resetTransforms); //node.preciseSelection.serialize = ()=>{} node.setDirtyCanvas(true, true); }) diff --git a/web/compositor3.js b/web/compositor3.js index d63a747..be51965 100644 --- a/web/compositor3.js +++ b/web/compositor3.js @@ -16,6 +16,26 @@ function getCompositorWidget(node, widgetName) { return node.widgets.find((w) => w.name === widgetName); } +function handleTogglePreciseSelection(e, currentNode) { + const optionValue = e.data.value; + currentNode.compositorInstance.preciseSelection = optionValue; + const c = currentNode.compositorInstance.fcanvas; + c.getObjects().map(function (i) { + return i.set('perPixelTargetFind', optionValue); + }); +} + +function handleResetOldTransform(e, currentNode) { + const optionValue = e.data.value; + const instance = currentNode.compositorInstance; + + const c = instance.fcanvas; + c.getObjects().forEach(function (image, index) { + instance.resetOldTransform(index); + + }); +} + /** * registering an extension gives the possibility to tap into lifecycle methods * here is the sequence from the docs: @@ -107,10 +127,10 @@ app.registerExtension({ /** example of arbitrary messages - PromptServer.instance.send_sync("my.custom.message", {"node": node_id, "other_things": etc}) - in api.ts search for "case 'executing'": for all events emitted or "new CustomEvent('executing'" - example of built-in, this should be when a node is about to start processing (in the back?) - */ + PromptServer.instance.send_sync("my.custom.message", {"node": node_id, "other_things": etc}) + in api.ts search for "case 'executing'": for all events emitted or "new CustomEvent('executing'" + example of built-in, this should be when a node is about to start processing (in the back?) + */ function executingMessageHandler(event) { //console.log("executingMessageHandler", event, arguments); const current = app.graph.getNodeById(event.detail); @@ -334,25 +354,28 @@ app.registerExtension({ // setup broadcast channel, also needs to be done on node created or connection change... const nodes = app.graph.findNodesByType("Compositor3"); // probably too late here as it's already running in the back - nodes.forEach((current) => { - const tools = current.getInputNode(1); + nodes.forEach((currentNode) => { + const tools = currentNode.getInputNode(1); //const tools = Editor.getToolWidget(this); const CHANNELNAME = `Tools${tools.id}`; //console.log(CHANNELNAME) const channel = new BroadcastChannel(CHANNELNAME); channel.addEventListener("message", (e) => { - const optionValue = e.data.value; - current.compositorInstance.preciseSelection = optionValue; - const c = current.compositorInstance.fcanvas; - c.getObjects().map(function (i) { - return i.set('perPixelTargetFind', optionValue); - }); - - }); + switch (e.data.action) { + case "togglePreciseSelection": + handleTogglePreciseSelection(e, currentNode); + break; + case "resetTransforms": + handleResetOldTransform(e, currentNode); + break; + default: + console.log("unknown broadcast event", e); + } - current.channel = channel; + }); + currentNode.channel = channel; // console.log("looping afterconfiguregraph compostior node", current); @@ -505,7 +528,7 @@ class Editor { * this is currently called on capture (regardless of the flag) */ static serializeStuff(node) { - // console.log("serializeStuff"); + console.log("serializeStuff"); const instance = node.compositorInstance; const result = { // or the widget ? boh @@ -539,9 +562,10 @@ class Editor { const connected = node.getInputNode(0); return connected.widgets[slot].value; } + static getToolWidget(instance) { // console.log(node, slot); - return instance.node.getInputNode(1); + return instance.node.getInputNode(1); } @@ -709,6 +733,40 @@ class Editor { }; } + resetOldTransform(index) { + this.inputImages[this.imageNameAt(index)].left = 0; + this.inputImages[this.imageNameAt(index)].top = 0; + this.inputImages[this.imageNameAt(index)].scaleX = 1; + this.inputImages[this.imageNameAt(index)].scaleY = 1; + this.inputImages[this.imageNameAt(index)].angle = 0; + this.inputImages[this.imageNameAt(index)].flipX = false; + this.inputImages[this.imageNameAt(index)].flipY = false; + this.inputImages[this.imageNameAt(index)].originX = "top"; + this.inputImages[this.imageNameAt(index)].originY = "left"; + this.inputImages[this.imageNameAt(index)].height; + this.inputImages[this.imageNameAt(index)].width; + this.inputImages[this.imageNameAt(index)].skewY = 0; + this.inputImages[this.imageNameAt(index)].skewX = 0; + this.inputImages[this.imageNameAt(index)].perPixelTargetFind = this.preciseSelection; + this.fcanvas.renderAll(); + + // return { + // left: this.inputImages[this.imageNameAt(index)].left, + // top: this.inputImages[this.imageNameAt(index)].top, + // scaleX: this.inputImages[this.imageNameAt(index)].scaleX, + // scaleY: this.inputImages[this.imageNameAt(index)].scaleY, + // angle: this.inputImages[this.imageNameAt(index)].angle, + // flipX: this.inputImages[this.imageNameAt(index)].flipX, + // flipY: this.inputImages[this.imageNameAt(index)].flipY, + // originX: this.inputImages[this.imageNameAt(index)].originX, + // originY: this.inputImages[this.imageNameAt(index)].originY, + // xwidth: this.inputImages[this.imageNameAt(index)].height, + // xheight: this.inputImages[this.imageNameAt(index)].width, + // skewY: this.inputImages[this.imageNameAt(index)].skewY, + // skewX: this.inputImages[this.imageNameAt(index)].skewX, + // }; + } + /** * checks if the reference at index for an image is not null * references are stored in "inputImages" @@ -931,7 +989,7 @@ class Editor { // body.append('overwrite', "true"); // if (setDone) api.fetchApi("/compositor/done", {method: "POST", body}); // return; - app.queuePrompt(0,1); + app.queuePrompt(0, 1); } @@ -1019,7 +1077,7 @@ class Editor { // console.log("mouseout") // moving outside editor, this might fail to be intercepted depending on how full the // canvas is - if (opt.target === null || opt.target === undefined || opt.target && opt.nextTarget===undefined) { + if (opt.target === null || opt.target === undefined || opt.target && opt.nextTarget === undefined) { compositorInstance.uploadIfNeeded(compositorInstance); } }); @@ -1165,7 +1223,7 @@ class Editor { this.containerDiv.appendChild(this.canvasEl); - this.containerDiv.style.overflow ="hidden"; + this.containerDiv.style.overflow = "hidden"; this.canvasEl.width = this.w.value + 2 * this.p.value; this.canvasEl.height = this.h.value + 2 * this.p.value; From f00dd2dec364f9d460ddb34c1c011865db1d2857 Mon Sep 17 00:00:00 2001 From: Enrico Date: Wed, 18 Sep 2024 18:53:33 +0200 Subject: [PATCH 05/15] bboxes for area conditioning - output bboxes - force int on utput flag --- TransformsOut.py | 31 ++++++++++++++---- web/alignment.js | 7 ++-- web/compositor3.js | 82 ++++++++++++++++++++++++++++++++++++---------- 3 files changed, 94 insertions(+), 26 deletions(-) diff --git a/TransformsOut.py b/TransformsOut.py index f462d3f..895dd1f 100644 --- a/TransformsOut.py +++ b/TransformsOut.py @@ -18,6 +18,7 @@ def INPUT_TYPES(cls): "required": { "transforms": ("STRING", {"forceInput": True}), "channel": ("INT", {"min": 1, "max": 8, "default": 1}), + "forceInt": ("BOOLEAN", {"default": True}), }, "hidden": { @@ -26,8 +27,8 @@ def INPUT_TYPES(cls): }, } - RETURN_TYPES = ("INT", "INT", "INT", "INT") - RETURN_NAMES = ("x", "y", "width", "height") + RETURN_TYPES = ("INT", "INT", "INT", "INT", "INT", "INT", "INT", "INT") + RETURN_NAMES = ("x", "y", "width", "height", "bbox x", "bbox y", "bbox width", "bbox height") FUNCTION = "run" CATEGORY = "image" @@ -36,14 +37,30 @@ def run(self, **kwargs): node_id = kwargs.pop('node_id', None) channel = kwargs.pop('channel', 1) transforms = kwargs.pop('transforms', {}) - print(transforms) + forceInt = kwargs.pop('forceInt', {}) + # print(transforms) data = json.loads(transforms) padding = data["padding"] + + # extract transforms t = data["transforms"] - # remap as it's 0 based, scale size as the area is final - width = t[channel - 1]["xwidth"] * t[channel - 1]["scaleX"] - height = t[channel - 1]["xheight"] * t[channel - 1]["scaleY"] + width = t[channel - 1]["width"] * t[channel - 1]["scaleX"] + height = t[channel - 1]["height"] * t[channel - 1]["scaleY"] # remove the padding as transforms are padding based x = t[channel - 1]["left"] - padding y = t[channel - 1]["top"] - padding - return (x, y, width, height) + + # bounding box out + b = data["bboxes"] + bwidth = b[channel - 1]["width"] + bheight = b[channel - 1]["height"] + # remove the padding as transforms are padding based + bx = b[channel - 1]["left"] - padding + by = b[channel - 1]["top"] - padding + + if forceInt: + return (int(x), int(y), int(width), int(height), int(bx), int(by), int(bwidth), int(bheight)) + else: + # remap as it's 0 based, scale size as the area is final + + return (x, y, width, height, bx, by, bwidth, bheight) diff --git a/web/alignment.js b/web/alignment.js index 678bd42..ba36b6f 100644 --- a/web/alignment.js +++ b/web/alignment.js @@ -39,16 +39,19 @@ app.registerExtension({ node["togglePreciseSelection"] = () => { //console.log(arguments); channel.postMessage({action:"togglePreciseSelection",value: node.preciseSelection.value, nodeId: node.id}); + } + node["centerSelected"] = () => { + //console.log(arguments); + channel.postMessage({action:"centerSelected",value: true, nodeId: node.id}); } node["resetTransforms"] = () => { //console.log(arguments); channel.postMessage({action:"resetTransforms",value: true, nodeId: node.id}); - } - + node.centerSelected = node.addWidget("button", "centerSelected", false, node.centerSelected); node.preciseSelection = node.addWidget("toggle", "preciseSelection", false, node.togglePreciseSelection); node.resetTransforms = node.addWidget("button", "resetTransforms", false, node.resetTransforms); //node.preciseSelection.serialize = ()=>{} diff --git a/web/compositor3.js b/web/compositor3.js index be51965..d60c301 100644 --- a/web/compositor3.js +++ b/web/compositor3.js @@ -32,10 +32,25 @@ function handleResetOldTransform(e, currentNode) { const c = instance.fcanvas; c.getObjects().forEach(function (image, index) { instance.resetOldTransform(index); - }); } +function centerSelected(e, currentNode) { + const optionValue = e.data.value; + const instance = currentNode.compositorInstance; + + const c = instance.fcanvas; + // get the selected and set the + instance.needsUpload = true; + c.getActiveObjects().forEach((o)=>o.center()); + c.renderAll(); + instance.uploadIfNeeded(instance); + // c.getObjects().forEach(function (image, index) { + // instance.resetOldTransform(index); + // + // }); +} + /** * registering an extension gives the possibility to tap into lifecycle methods * here is the sequence from the docs: @@ -368,6 +383,9 @@ app.registerExtension({ case "resetTransforms": handleResetOldTransform(e, currentNode); break; + case "centerSelected": + centerSelected(e, currentNode); + break; default: console.log("unknown broadcast event", e); } @@ -545,9 +563,19 @@ class Editor { return undefined; } }); - result.transforms = res; + const bboxes = [0, 1, 2, 3, 4, 5, 6, 7].map((i) => { + try { + let t = instance.getBoundingBox(i); + return t; + } catch (e) { + return undefined; + } + }); + + result.bboxes = bboxes; + return JSON.stringify(result); } @@ -716,20 +744,40 @@ class Editor { } getOldTransform(index) { + const ref = this.inputImages[this.imageNameAt(index)]; + return { + left: ref.left, + top: ref.top, + scaleX: ref.scaleX, + scaleY: ref.scaleY, + angle: ref.angle, + flipX: ref.flipX, + flipY: ref.flipY, + originX: ref.originX, + originY: ref.originY, + width: ref.width, + height: ref.height, + skewY: ref.skewY, + skewX: ref.skewX, + }; + } + + getBoundingBox(index) { + const ref = this.inputImages[this.imageNameAt(index)].getBoundingRect(); return { - left: this.inputImages[this.imageNameAt(index)].left, - top: this.inputImages[this.imageNameAt(index)].top, - scaleX: this.inputImages[this.imageNameAt(index)].scaleX, - scaleY: this.inputImages[this.imageNameAt(index)].scaleY, - angle: this.inputImages[this.imageNameAt(index)].angle, - flipX: this.inputImages[this.imageNameAt(index)].flipX, - flipY: this.inputImages[this.imageNameAt(index)].flipY, - originX: this.inputImages[this.imageNameAt(index)].originX, - originY: this.inputImages[this.imageNameAt(index)].originY, - xwidth: this.inputImages[this.imageNameAt(index)].height, - xheight: this.inputImages[this.imageNameAt(index)].width, - skewY: this.inputImages[this.imageNameAt(index)].skewY, - skewX: this.inputImages[this.imageNameAt(index)].skewX, + left: ref.left, + top: ref.top, + scaleX: ref.scaleX, + scaleY: ref.scaleY, + angle: ref.angle, + flipX: ref.flipX, + flipY: ref.flipY, + originX: ref.originX, + originY: ref.originY, + width: ref.height, + height: ref.width, + skewY: ref.skewY, + skewX: ref.skewX, }; } @@ -743,8 +791,8 @@ class Editor { this.inputImages[this.imageNameAt(index)].flipY = false; this.inputImages[this.imageNameAt(index)].originX = "top"; this.inputImages[this.imageNameAt(index)].originY = "left"; - this.inputImages[this.imageNameAt(index)].height; - this.inputImages[this.imageNameAt(index)].width; + // this.inputImages[this.imageNameAt(index)].height; + // this.inputImages[this.imageNameAt(index)].width; this.inputImages[this.imageNameAt(index)].skewY = 0; this.inputImages[this.imageNameAt(index)].skewX = 0; this.inputImages[this.imageNameAt(index)].perPixelTargetFind = this.preciseSelection; From 76be22c11df1a8604bc0286486dd43c28c6c3753 Mon Sep 17 00:00:00 2001 From: Enrico Date: Wed, 18 Sep 2024 19:45:48 +0200 Subject: [PATCH 06/15] swicth backto xwidth and dont resore --- TransformsOut.py | 17 +++++++++-------- web/compositor3.js | 27 +++++++-------------------- 2 files changed, 16 insertions(+), 28 deletions(-) diff --git a/TransformsOut.py b/TransformsOut.py index 895dd1f..7bb2d4e 100644 --- a/TransformsOut.py +++ b/TransformsOut.py @@ -27,7 +27,7 @@ def INPUT_TYPES(cls): }, } - RETURN_TYPES = ("INT", "INT", "INT", "INT", "INT", "INT", "INT", "INT") + RETURN_TYPES = ("INT", "INT", "INT", "INT", "INT", "INT", "INT", "INT", "INT") RETURN_NAMES = ("x", "y", "width", "height", "bbox x", "bbox y", "bbox width", "bbox height") FUNCTION = "run" @@ -44,23 +44,24 @@ def run(self, **kwargs): # extract transforms t = data["transforms"] - width = t[channel - 1]["width"] * t[channel - 1]["scaleX"] - height = t[channel - 1]["height"] * t[channel - 1]["scaleY"] + width = t[channel - 1]["xwidth"] * t[channel - 1]["scaleX"] + height = t[channel - 1]["xheight"] * t[channel - 1]["scaleY"] # remove the padding as transforms are padding based + angle = t[channel - 1]["angle"] x = t[channel - 1]["left"] - padding + y = t[channel - 1]["top"] - padding # bounding box out b = data["bboxes"] - bwidth = b[channel - 1]["width"] - bheight = b[channel - 1]["height"] + bwidth = b[channel - 1]["xwidth"] + bheight = b[channel - 1]["xheight"] # remove the padding as transforms are padding based bx = b[channel - 1]["left"] - padding by = b[channel - 1]["top"] - padding if forceInt: - return (int(x), int(y), int(width), int(height), int(bx), int(by), int(bwidth), int(bheight)) + return (int(x), int(y), int(width), int(height), int(angle), int(bx), int(by), int(bwidth), int(bheight)) else: # remap as it's 0 based, scale size as the area is final - - return (x, y, width, height, bx, by, bwidth, bheight) + return (x, y, width, height, angle,bx, by, bwidth, bheight) diff --git a/web/compositor3.js b/web/compositor3.js index d60c301..8fc0e3f 100644 --- a/web/compositor3.js +++ b/web/compositor3.js @@ -755,8 +755,8 @@ class Editor { flipY: ref.flipY, originX: ref.originX, originY: ref.originY, - width: ref.width, - height: ref.height, + xwidth: ref.width, + xheight: ref.height, skewY: ref.skewY, skewX: ref.skewX, }; @@ -774,8 +774,8 @@ class Editor { flipY: ref.flipY, originX: ref.originX, originY: ref.originY, - width: ref.height, - height: ref.width, + xwidth: ref.height, + xheight: ref.width, skewY: ref.skewY, skewX: ref.skewX, }; @@ -797,24 +797,11 @@ class Editor { this.inputImages[this.imageNameAt(index)].skewX = 0; this.inputImages[this.imageNameAt(index)].perPixelTargetFind = this.preciseSelection; this.fcanvas.renderAll(); - - // return { - // left: this.inputImages[this.imageNameAt(index)].left, - // top: this.inputImages[this.imageNameAt(index)].top, - // scaleX: this.inputImages[this.imageNameAt(index)].scaleX, - // scaleY: this.inputImages[this.imageNameAt(index)].scaleY, - // angle: this.inputImages[this.imageNameAt(index)].angle, - // flipX: this.inputImages[this.imageNameAt(index)].flipX, - // flipY: this.inputImages[this.imageNameAt(index)].flipY, - // originX: this.inputImages[this.imageNameAt(index)].originX, - // originY: this.inputImages[this.imageNameAt(index)].originY, - // xwidth: this.inputImages[this.imageNameAt(index)].height, - // xheight: this.inputImages[this.imageNameAt(index)].width, - // skewY: this.inputImages[this.imageNameAt(index)].skewY, - // skewX: this.inputImages[this.imageNameAt(index)].skewX, - // }; } + + + /** * checks if the reference at index for an image is not null * references are stored in "inputImages" From 2ec749cfe74f555a26e73e67074292eec2b28661 Mon Sep 17 00:00:00 2001 From: Enrico Date: Thu, 19 Sep 2024 17:36:18 +0200 Subject: [PATCH 07/15] force height in python v1 --- CompositorConfig3.py | 109 +++++++++++++++++++++++++++++++++++++++++-- web/compositor3.js | 1 + 2 files changed, 106 insertions(+), 4 deletions(-) diff --git a/CompositorConfig3.py b/CompositorConfig3.py index 51faf14..e79220d 100644 --- a/CompositorConfig3.py +++ b/CompositorConfig3.py @@ -5,7 +5,10 @@ from PIL import Image import torch import folder_paths - +import torch +import torch.nn.functional as F +import math +from comfy.utils import common_upscale MAX_RESOLUTION = nodes.MAX_RESOLUTION @@ -34,6 +37,7 @@ def INPUT_TYPES(cls): "width": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 32}), "height": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 32}), "padding": ("INT", {"default": 100, "min": 0, "max": MAX_RESOLUTION, "step": 1}), + "normalizeHeight": ("BOOLEAN", {"default": False}), "initialized": ("STRING", {"default": ""}), }, "optional": { @@ -102,6 +106,7 @@ def configure(self, **kwargs): padding = kwargs.pop('padding', 100) width = kwargs.pop('width', 512) height = kwargs.pop('height', 512) + normalizeHeight = kwargs.pop('normalizeHeight', 512) node_id = kwargs.pop('node_id', None) images = [image1, image2, image3, image4, image5, image6, image7, image8, ] @@ -110,10 +115,26 @@ def configure(self, **kwargs): # apply the masks to the images if any so that we get a rgba # then pass the rgba in the return value - + counter = 0 for (img, mask) in zip(images, masks): if img is not None: + + if normalizeHeight: + print(counter) + counter = counter+1 + #img = self.upscale(img, "lanczos", height, "height", "disabled") + processor = ImageProcessor() + oldimg = img + img = processor.scale_image(img, height) + #print(oldimg == img) + # tensor + if mask is not None: + if normalizeHeight: + print(mask) + #mask = self.upscale(img, "lanczos", height, "height", "disabled") + mask = processor.scale_image(mask, height) + # apply the mask and return masked = self.apply_mask(img, mask) # self.masked = masked[0] @@ -128,7 +149,6 @@ def configure(self, **kwargs): # input is None, forward input_images.append(img) - self.ensureEmpty() res = { @@ -158,10 +178,91 @@ def ensureEmpty(self): image = "test_empty.png" if not folder_paths.exists_annotated_filepath(image): print("it does not exist") - img = Image.new('RGB', (512,512), 'white') + img = Image.new('RGB', (512, 512), 'white') img.save(folder_paths.get_annotated_filepath(image)) + def upscale(self, image, upscale_method, side_length: int, side: str, crop): + samples = image.movedim(-1, 1) + + size = get_image_size(image) + + width_B = int(size[0]) + height_B = int(size[1]) + + width = width_B + height = height_B + + def determineSide(_side: str) -> tuple[int, int]: + width, height = 0, 0 + if _side == "Width": + heigh_ratio = height_B / width_B + width = side_length + height = heigh_ratio * width + elif _side == "Height": + width_ratio = width_B / height_B + height = side_length + width = width_ratio * height + return width, height + + if side == "Longest": + if width > height: + width, height = determineSide("Width") + else: + width, height = determineSide("Height") + elif side == "Shortest": + if width < height: + width, height = determineSide("Width") + else: + width, height = determineSide("Height") + else: + width, height = determineSide(side) + + width = math.ceil(width) + height = math.ceil(height) + + cls = common_upscale(samples, width, height, upscale_method, crop) + cls = cls.movedim(1, -1) + return (cls,) + + +def get_image_size(IMAGE) -> tuple[int, int]: + samples = IMAGE.movedim(-1, 1) + size = samples.shape[3], samples.shape[2] + # size = size.movedim(1, -1) + return size + def resize_mask(mask, shape): return torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(shape[0], shape[1]), mode="bilinear").squeeze(1) + + + + + + +class ImageProcessor: + def scale_image(self, image_tensor, new_height): + # Ensure the input tensor is in the format [batch_size, width, height, channels] + if image_tensor.ndim != 4: + raise ValueError("Expected image tensor to have shape [batch_size, width, height, channels]") + + batch_size, width, height, channels = image_tensor.shape + + if channels not in (1, 3, 4): + raise ValueError("Image tensor must have 1 (grayscale), 3 (RGB), or 4 (RGBA) channels") + + # Calculate the new width to maintain aspect ratio + aspect_ratio = width / height + new_width = int(new_height * aspect_ratio) + + # Permute to match PyTorch's expected format [batch_size, channels, height, width] + image_tensor = image_tensor.permute(0, 3, 2, 1) # [batch_size, channels, height, width] + + # Resize images to the new dimensions + resized_images = F.interpolate(image_tensor, size=(new_height, new_width), mode='bilinear', align_corners=False) + + # Permute back to the original format [batch_size, width, height, channels] + resized_images = resized_images.permute(0, 3, 2, 1) # [batch_size, width, height, channels] + + return resized_images \ No newline at end of file diff --git a/web/compositor3.js b/web/compositor3.js index 8fc0e3f..e844d99 100644 --- a/web/compositor3.js +++ b/web/compositor3.js @@ -891,6 +891,7 @@ class Editor { altSelectionKey: "ctrlKey", altActionKey: "ctrlKey", centeredKey: "altKey", + // uniScaleTransform: false, // selectable:true, // evented:true, // centeredRotation: true, From f773bc97bf6e3b6bcfdaa0678de4bf8dd9202ecb Mon Sep 17 00:00:00 2001 From: Enrico Date: Thu, 19 Sep 2024 19:47:00 +0200 Subject: [PATCH 08/15] normalize height feature --- CompositorConfig3.py | 23 +++++++++-------------- 1 file changed, 9 insertions(+), 14 deletions(-) diff --git a/CompositorConfig3.py b/CompositorConfig3.py index e79220d..0b88150 100644 --- a/CompositorConfig3.py +++ b/CompositorConfig3.py @@ -236,33 +236,28 @@ def resize_mask(mask, shape): return torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(shape[0], shape[1]), mode="bilinear").squeeze(1) - - - - - class ImageProcessor: def scale_image(self, image_tensor, new_height): - # Ensure the input tensor is in the format [batch_size, width, height, channels] + # Ensure the input tensor is in the format [batch_size, height, width, channels] if image_tensor.ndim != 4: - raise ValueError("Expected image tensor to have shape [batch_size, width, height, channels]") + raise ValueError("Expected image tensor to have shape [batch_size, height, width, channels]") - batch_size, width, height, channels = image_tensor.shape + batch_size, original_height, original_width, channels = image_tensor.shape if channels not in (1, 3, 4): raise ValueError("Image tensor must have 1 (grayscale), 3 (RGB), or 4 (RGBA) channels") - # Calculate the new width to maintain aspect ratio - aspect_ratio = width / height + # Calculate the new width to maintain the aspect ratio + aspect_ratio = original_width / original_height new_width = int(new_height * aspect_ratio) # Permute to match PyTorch's expected format [batch_size, channels, height, width] - image_tensor = image_tensor.permute(0, 3, 2, 1) # [batch_size, channels, height, width] + image_tensor = image_tensor.permute(0, 3, 1, 2) # [batch_size, channels, height, width] - # Resize images to the new dimensions + # Resize images to the new dimensions (new_height, new_width) resized_images = F.interpolate(image_tensor, size=(new_height, new_width), mode='bilinear', align_corners=False) - # Permute back to the original format [batch_size, width, height, channels] - resized_images = resized_images.permute(0, 3, 2, 1) # [batch_size, width, height, channels] + # Permute back to the original format [batch_size, height, width, channels] + resized_images = resized_images.permute(0, 2, 3, 1) # [batch_size, height, width, channels] return resized_images \ No newline at end of file From e3418106b77bb188907061e4c73f9accb2d69c8a Mon Sep 17 00:00:00 2001 From: Enrico Date: Fri, 20 Sep 2024 18:04:23 +0200 Subject: [PATCH 09/15] stop and start kind of working (not clean) --- Compositor3.py | 19 +++++++-- CompositorConfig3.py | 13 +++++-- web/compositor3.js | 93 ++++++++++++++++++++++++++++++++++++-------- 3 files changed, 102 insertions(+), 23 deletions(-) diff --git a/Compositor3.py b/Compositor3.py index ca4118f..6af973a 100644 --- a/Compositor3.py +++ b/Compositor3.py @@ -20,11 +20,12 @@ async def receivedDone(request): class Compositor3: file = "new.png" result = None + configCache = None @classmethod def IS_CHANGED(cls, **kwargs): fabricData = kwargs.get("fabricData") - print(fabricData) + # print(fabricData) return fabricData @classmethod @@ -53,6 +54,7 @@ def composite(self, **kwargs): # https://blog.miguelgrinberg.com/post/how-to-make-python-wait node_id = kwargs.pop('node_id', None) + imageName = kwargs.get('imageName', "new.png") config = kwargs.get('config', "default") @@ -60,9 +62,17 @@ def composite(self, **kwargs): width = config["width"] height = config["height"] config_node_id = config["node_id"] + onConfigChanged = config["onConfigChanged"] names = config["names"] fabricData = kwargs.get("fabricData") + configChanged = self.configCache != config + print(configChanged) + print(config) + print(self.configCache) + + + self.configCache = config ui = { "test": ("value",), "padding": [padding], @@ -73,6 +83,8 @@ def composite(self, **kwargs): "names": names, "fabricData": [fabricData], "awaited": [self.result], + "configChanged": [configChanged], + "onConfigChanged": [onConfigChanged], } # break and send a message to the gui as if it was "executed" below @@ -80,7 +92,8 @@ def composite(self, **kwargs): PromptServer.instance.send_sync("compositor_init", detail) imageExists = folder_paths.exists_annotated_filepath(imageName) - if imageName == "new.png" or not imageExists: + # block when config changed + if imageName == "new.png" or not imageExists or configChanged: return { "ui": ui, "result": (ExecutionBlocker(None), ExecutionBlocker(None)) @@ -93,7 +106,7 @@ def composite(self, **kwargs): i = i.point(lambda i: i * (1 / 255)) image = i.convert("RGB") image = np.array(image).astype(np.float32) / 255.0 - image = torch.from_numpy(image)[None,] + image = torch.from_numpy(image)[None, ] return { "ui": ui, diff --git a/CompositorConfig3.py b/CompositorConfig3.py index 0b88150..fb72a96 100644 --- a/CompositorConfig3.py +++ b/CompositorConfig3.py @@ -38,6 +38,7 @@ def INPUT_TYPES(cls): "height": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 32}), "padding": ("INT", {"default": 100, "min": 0, "max": MAX_RESOLUTION, "step": 1}), "normalizeHeight": ("BOOLEAN", {"default": False}), + "onConfigChanged": ("BOOLEAN", {"label_off": "stop", "label_on": "Grab and Continue", "default": False}), "initialized": ("STRING", {"default": ""}), }, "optional": { @@ -107,6 +108,8 @@ def configure(self, **kwargs): width = kwargs.pop('width', 512) height = kwargs.pop('height', 512) normalizeHeight = kwargs.pop('normalizeHeight', 512) + # grabAndContinue, stop + onConfigChanged = kwargs.pop('onConfigChanged', False) node_id = kwargs.pop('node_id', None) images = [image1, image2, image3, image4, image5, image6, image7, image8, ] @@ -120,7 +123,7 @@ def configure(self, **kwargs): if img is not None: if normalizeHeight: - print(counter) + # print(counter) counter = counter+1 #img = self.upscale(img, "lanczos", height, "height", "disabled") processor = ImageProcessor() @@ -131,7 +134,7 @@ def configure(self, **kwargs): if mask is not None: if normalizeHeight: - print(mask) + # print(mask) #mask = self.upscale(img, "lanczos", height, "height", "disabled") mask = processor.scale_image(mask, height) @@ -157,8 +160,10 @@ def configure(self, **kwargs): "height": height, "padding": padding, "names": input_images, + "onConfigChanged": onConfigChanged, + "normalizeHeight": normalizeHeight, } - print(f"compositor config {node_id} executed") + # print(f"compositor config {node_id} executed") # return (res, self.masked, ) return (res,) @@ -177,7 +182,7 @@ def apply_mask(self, image: torch.Tensor, alpha: torch.Tensor): def ensureEmpty(self): image = "test_empty.png" if not folder_paths.exists_annotated_filepath(image): - print("it does not exist") + # print("it does not exist") img = Image.new('RGB', (512, 512), 'white') img.save(folder_paths.get_annotated_filepath(image)) diff --git a/web/compositor3.js b/web/compositor3.js index e844d99..73a0e93 100644 --- a/web/compositor3.js +++ b/web/compositor3.js @@ -190,7 +190,7 @@ app.registerExtension({ // console.log(node.type); return; } - + const instance = node.compositorInstance; // console.log("hasResult,awaitedResult", e.hasResult[0], e.awaited[0]); node.compositorInstance.w.value = e.width[0]; @@ -205,6 +205,13 @@ app.registerExtension({ const restore = Editor.deserializeStuff(node.fabricDataWidget.value); const shouldRestore = Editor.getConfigWidgetValue(node, 3); + const shouldRestore = true; // Editor.getConfigWidgetValue(node, 3); + const normalizeHeight = Editor.getConfigWidgetValue(node, 3); + const onConfigChanged = Editor.getConfigWidgetValue(node, 4); + + instance.normalizeHeigh = normalizeHeight; + instance.onConfigChanged = onConfigChanged; + instance.configChanged = e.configChanged[0]; images.map((b64, index) => { function fromUrlCallback(oImg) { @@ -216,8 +223,54 @@ app.registerExtension({ * http://fabricjs.com/docs/fabric.Image.html */ fabric.Image.fromURL(b64, fromUrlCallback); + }); + if(instance.configChanged) { + + instance.needsUpload = true; + + // true: grab and continue + if(onConfigChanged){ + console.log("upload and continue") + + const reEnqueue = () => { + console.log("upload and continue") + interrupt(); + instance.continue(); + } + + instance.uploadIfNeeded(instance, reEnqueue); + + + }else{ + // False, stop + instance.uploadIfNeeded(instance) + console.log("stopped, just upload") + } + + } + + // console.log("configChanged",instance.configChanged); + // // if(instance.onConfigChanged == "grabAndContinue"){ + // // console.log("grabAndContinue") + // // instance.needsUpload = true; + // // console.log("set instance needs upload to ", instance.needsUpload) + // // const reEneuque = () => { + // // app.queuePrompt(0, 1); + // // } + // // instance.uploadIfNeeded(instance,reEneuque); + // // }else{ + // + // console.log("stop:config") + // instance.needsUpload = true; + // console.log("set instance needs upload to ", instance.needsUpload) + // + // }else{ + // instance.needsUpload = false; + // console.log("config did not hcange, needs upload set to ", instance.needsUpload) + // } + } /** important messaging considerations https://docs.comfy.org/essentials/comms_messages */ @@ -366,6 +419,9 @@ app.registerExtension({ initialized.value = Date.now(); }) + // enable nodes to talk to each other without running the frontend through a dedicated + // broadcast channel + // // setup broadcast channel, also needs to be done on node created or connection change... const nodes = app.graph.findNodesByType("Compositor3"); // probably too late here as it's already running in the back @@ -951,6 +1007,7 @@ class Editor { node.setDirtyCanvas(true, true); if (callback) callback() + // deprecated, not really needed anymore if (setDone) api.fetchApi("/compositor/done", {method: "POST", body}); }, () => { @@ -963,8 +1020,11 @@ class Editor { return this.cblob == undefined } - /** this can't be async so resort to promise resolving and callbacks */ - grabUploadAndSetOutput(setDone, callback) { + /** this can't be async so resort to promise resolving and callbacks + * @params setDone **deprecated** when setDone is true, it will raise a /compositor/done event for the backend + * @params callback will be passed to uploadImage and called when the upload has finished + * */ + grabUploadAndSetOutput(instance, setDone, callback) { // console.log("capture"); // console.log("grap upload and set output") // prepare the image @@ -1017,16 +1077,7 @@ class Editor { } continue(setDone) { - // console.log("continue"); - // const body = new FormData(); - // const node_id = this.node.id; - // body.append('node_id', node_id); - // body.append('filename', this.node.imageNameWidget.value); - // body.append('overwrite', "true"); - // if (setDone) api.fetchApi("/compositor/done", {method: "POST", body}); - // return; app.queuePrompt(0, 1); - } @@ -1163,15 +1214,15 @@ class Editor { }.bind(this)); } - uploadIfNeeded(compositorInstance) { + uploadIfNeeded(compositorInstance,callback = ()=>{console.log("upload if needed")}) { if (compositorInstance.needsUpload) { compositorInstance.needsUpload = false; const serialized = Editor.serializeStuff(compositorInstance.node); compositorInstance.node.fabricDataWidget.value = serialized; - const callback = () => { - alert("done"); - } + // const callback = () => { + // + // } compositorInstance.grabUploadAndSetOutput(compositorInstance, false, callback) } else { console.log("no upload needed to be done"); @@ -1308,3 +1359,13 @@ class Editor { } +async function interrupt() { + const response = await fetch('/interrupt', { + method: 'POST', + cache: 'no-cache', + headers: { + 'Content-Type': 'text/html' + }, + }); + return await response.json(); +} \ No newline at end of file From 59871fb7da07959710fad450b100a208b6a8c44f Mon Sep 17 00:00:00 2001 From: Enrico Date: Fri, 20 Sep 2024 18:04:47 +0200 Subject: [PATCH 10/15] start and stop --- web/compositor3.js | 1 - 1 file changed, 1 deletion(-) diff --git a/web/compositor3.js b/web/compositor3.js index 73a0e93..ea57583 100644 --- a/web/compositor3.js +++ b/web/compositor3.js @@ -204,7 +204,6 @@ app.registerExtension({ const images = [...e.names]; const restore = Editor.deserializeStuff(node.fabricDataWidget.value); - const shouldRestore = Editor.getConfigWidgetValue(node, 3); const shouldRestore = true; // Editor.getConfigWidgetValue(node, 3); const normalizeHeight = Editor.getConfigWidgetValue(node, 3); const onConfigChanged = Editor.getConfigWidgetValue(node, 4); From 2b7e626b5533613c5d370969b81c9b7f975620ee Mon Sep 17 00:00:00 2001 From: Enrico Date: Fri, 20 Sep 2024 18:53:55 +0200 Subject: [PATCH 11/15] cleanup and release preparation --- CompositorConfig.py | 200 ------------------ CompositorConfig3.py | 1 - Alignment.py => CompositorTools3.py | 4 +- ...formsOut.py => CompositorTransformsOut3.py | 10 +- __init__.py | 15 +- nodes_compositor.py | 193 ----------------- web/{alignment.js => tools.js} | 8 +- 7 files changed, 14 insertions(+), 417 deletions(-) delete mode 100644 CompositorConfig.py rename Alignment.py => CompositorTools3.py (80%) rename TransformsOut.py => CompositorTransformsOut3.py (89%) delete mode 100644 nodes_compositor.py rename web/{alignment.js => tools.js} (91%) diff --git a/CompositorConfig.py b/CompositorConfig.py deleted file mode 100644 index 2d1fad1..0000000 --- a/CompositorConfig.py +++ /dev/null @@ -1,200 +0,0 @@ -# author: erosdiffusionai@gmail.com -import nodes -import numpy as np -import base64 -from io import BytesIO -from PIL import Image -import torch -import folder_paths -from server import PromptServer - -MAX_RESOLUTION = nodes.MAX_RESOLUTION - - -# these probably exist elsewhere as utils -def tensor2pil(image): - return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) - - -# these probably exist elsewhere as utils -def toBase64ImgUrl(img): - bytesIO = BytesIO() - img.save(bytesIO, format="PNG") - img_types = bytesIO.getvalue() - img_base64 = base64.b64encode(img_types) - return f"data:image/png;base64,{img_base64.decode('utf-8')}" - - -class CompositorConfig: - #OUTPUT_NODE = True - NOT_IDEMPOTENT = True - - # @classmethod - # def IS_CHANGED(cls, **kwargs): - # return float("NaN") - - @classmethod - def INPUT_TYPES(cls): - return { - "required": { - "width": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 32}), - "height": ("INT", {"default": 512, "min": 0, "max": MAX_RESOLUTION, "step": 32}), - "padding": ("INT", {"default": 100, "min": 0, "max": MAX_RESOLUTION, "step": 1}), - "capture_on_queue": ("BOOLEAN", {"default": True}), - "pause": ("BOOLEAN", {"default": True}), - "storeTransforms": ("BOOLEAN", {"default": False}), - }, - "optional": { - "image1": ("IMAGE",), - "mask1": ("MASK",), - "image2": ("IMAGE",), - "mask2": ("MASK",), - "image3": ("IMAGE",), - "mask3": ("MASK",), - "image4": ("IMAGE",), - "mask4": ("MASK",), - "image5": ("IMAGE",), - "mask5": ("MASK",), - "image6": ("IMAGE",), - "mask6": ("MASK",), - "image7": ("IMAGE",), - "mask7": ("MASK",), - "image8": ("IMAGE",), - "mask8": ("MASK",), - "use_alignment_controls": ("BOOLEAN", {"forceInput": True}), - - }, - "hidden": { - "prompt": "PROMPT", - "extra_pnginfo": "EXTRA_PNGINFO", - "node_id": "UNIQUE_ID", - }, - } - - RETURN_TYPES = ("COMPOSITOR_CONFIG",) - RETURN_NAMES = ("config",) - - FUNCTION = "configure" - - CATEGORY = "image" - DESCRIPTION = """ -The compositor node -- pass up to 8 images -- optionally pass their masks (invert them) -- masks are automatically applied and internally the compositor is passed an rgba -- use the sizing controls to configure the compositor, it will be resized on run -- set the flag to pause to allow yourself time to build your composition (pause acts on compositor, not the config node) -""" - - def configure(self, **kwargs): - # extract the images - # convert them from tensor to pil and then to base 64 - # send as custom to be able to be used by ui - # finally return the resulting image (the composite "image" is seen as input but it's actually the output) - - # image = kwargs.pop('image', None) - image1 = kwargs.pop('image1', None) - image2 = kwargs.pop('image2', None) - image3 = kwargs.pop('image3', None) - image4 = kwargs.pop('image4', None) - image5 = kwargs.pop('image5', None) - image6 = kwargs.pop('image6', None) - image7 = kwargs.pop('image7', None) - image8 = kwargs.pop('image8', None) - mask1 = kwargs.pop('mask1', None) - mask2 = kwargs.pop('mask2', None) - mask3 = kwargs.pop('mask3', None) - mask4 = kwargs.pop('mask4', None) - mask5 = kwargs.pop('mask5', None) - mask6 = kwargs.pop('mask6', None) - mask7 = kwargs.pop('mask7', None) - mask8 = kwargs.pop('mask8', None) - pause = kwargs.pop('pause', False) - capture_on_queue = kwargs.pop('capture_on_queue', True) - padding = kwargs.pop('padding', 100) - width = kwargs.pop('width', 512) - height = kwargs.pop('height', 512) - node_id = kwargs.pop('node_id', None) - storeTransforms = kwargs.pop('storeTransforms') - use_alignment_controls = kwargs.pop('use_alignment_controls') - - images = [image1, image2, image3, image4, image5, image6, image7, image8, ] - masks = [mask1, mask2, mask3, mask4, mask5, mask6, mask7, mask8, ] - input_images = [] - - # apply the masks to the images if any so that we get a rgba - # then pass the rgba in the return value - - for (img, mask) in zip(images, masks): - if img is not None: - if mask is not None: - # apply the mask and return - masked = self.apply_mask(img, mask) - # self.masked = masked[0] - - i = tensor2pil(masked[0]) - input_images.append(toBase64ImgUrl(i)) - else: - # no need to apply the mask - i = tensor2pil(img) - input_images.append(toBase64ImgUrl(i)) - else: - # input is None, forward - input_images.append(img) - - # this can act as broadcast to another node, in this case it will be received - # by the compositor node, where it should be filtered by it's config node id and - # discard messages not coming from config - # PromptServer.instance.send_sync( - # "compositor.config", {"names": input_images, - # "config_node_id": node_id, - # "width": width, - # "height": height, - # "padding": padding, - # "capture_on_queue": capture_on_queue, - # "pause": pause - # } - # ) - - self.ensureEmpty() - - res = { - "node_id": node_id, - "width": width, - "height": height, - "padding": padding, - "capture_on_queue": capture_on_queue, - "pause": pause, - # the image names - # "images": input_images, - "names": input_images, - "storeTransforms": storeTransforms, - "use_alignment_controls": use_alignment_controls, - } - print(f"compositor config {node_id} executed") - # return (res, self.masked, ) - return (res,) - - def apply_mask(self, image: torch.Tensor, alpha: torch.Tensor): - batch_size = min(len(image), len(alpha)) - out_images = [] - - alpha = 1.0 - resize_mask(alpha, image.shape[1:]) - for i in range(batch_size): - out_images.append(torch.cat((image[i][:, :, :3], alpha[i].unsqueeze(2)), dim=2)) - - result = (torch.stack(out_images),) - return result - - # ensures empty.png exists - def ensureEmpty(self): - image = "test_empty.png" - if not folder_paths.exists_annotated_filepath(image): - print("it does not exist") - img = Image.new('RGB', (512,512), 'white') - img.save(folder_paths.get_annotated_filepath(image)) - - -def resize_mask(mask, shape): - return torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), - size=(shape[0], shape[1]), mode="bilinear").squeeze(1) diff --git a/CompositorConfig3.py b/CompositorConfig3.py index fb72a96..59e3427 100644 --- a/CompositorConfig3.py +++ b/CompositorConfig3.py @@ -3,7 +3,6 @@ import base64 from io import BytesIO from PIL import Image -import torch import folder_paths import torch import torch.nn.functional as F diff --git a/Alignment.py b/CompositorTools3.py similarity index 80% rename from Alignment.py rename to CompositorTools3.py index 75cfe40..14d2c54 100644 --- a/Alignment.py +++ b/CompositorTools3.py @@ -1,4 +1,4 @@ -class Alignment: +class CompositorTools3: @classmethod def INPUT_TYPES(cls): return { @@ -13,7 +13,7 @@ def INPUT_TYPES(cls): CATEGORY = "image" DESCRIPTION = """ -frontend communication only with feature flag +experimental node: frontend communication only with feature flag, needs page reload to fill controls """ def run(self, **kwargs): diff --git a/TransformsOut.py b/CompositorTransformsOut3.py similarity index 89% rename from TransformsOut.py rename to CompositorTransformsOut3.py index 7bb2d4e..6f0c17a 100644 --- a/TransformsOut.py +++ b/CompositorTransformsOut3.py @@ -28,7 +28,7 @@ def INPUT_TYPES(cls): } RETURN_TYPES = ("INT", "INT", "INT", "INT", "INT", "INT", "INT", "INT", "INT") - RETURN_NAMES = ("x", "y", "width", "height", "bbox x", "bbox y", "bbox width", "bbox height") + RETURN_NAMES = ("x", "y", "width", "height", "angle", "bbox x", "bbox y", "bbox width", "bbox height") FUNCTION = "run" CATEGORY = "image" @@ -41,16 +41,15 @@ def run(self, **kwargs): # print(transforms) data = json.loads(transforms) padding = data["padding"] - # extract transforms t = data["transforms"] width = t[channel - 1]["xwidth"] * t[channel - 1]["scaleX"] height = t[channel - 1]["xheight"] * t[channel - 1]["scaleY"] # remove the padding as transforms are padding based - angle = t[channel - 1]["angle"] x = t[channel - 1]["left"] - padding - y = t[channel - 1]["top"] - padding + #angle + angle = t[channel - 1]["angle"] # bounding box out b = data["bboxes"] @@ -63,5 +62,4 @@ def run(self, **kwargs): if forceInt: return (int(x), int(y), int(width), int(height), int(angle), int(bx), int(by), int(bwidth), int(bheight)) else: - # remap as it's 0 based, scale size as the area is final - return (x, y, width, height, angle,bx, by, bwidth, bheight) + return (x, y, width, height, angle, bx, by, bwidth, bheight) diff --git a/__init__.py b/__init__.py index 48e59fb..681f2fd 100644 --- a/__init__.py +++ b/__init__.py @@ -1,27 +1,20 @@ # author: erosdiffusionai@gmail.com -# from .nodes_compositor import Compositor -# from .CompositorConfig import CompositorConfig -# from .CompositorConfig import CompositorConfig from .Compositor3 import Compositor3 from .CompositorConfig3 import CompositorConfig3 -from .Alignment import Alignment -from .TransformsOut import CompositorTransformsOutV3 +from .CompositorTools3 import CompositorTools3 +from .CompositorTransformsOut3 import CompositorTransformsOutV3 NODE_CLASS_MAPPINGS = { - # "Compositor": Compositor, - # "CompositorConfig": CompositorConfig, "Compositor3": Compositor3, "CompositorConfig3": CompositorConfig3, - "Alignment": Alignment, + "CompositorTools3": CompositorTools3, "CompositorTransformsOutV3": CompositorTransformsOutV3, } NODE_DISPLAY_NAME_MAPPINGS = { - #"Compositor": "Compositor", - #"CompositorConfig": "CompositorConfig", "Compositor3": "💜 Compositor (V3)", "CompositorConfig3": "💜 Compositor Config (V3)", - "Alignment": "💜 Compositor Tools (V3)", + "CompositorTools3": "💜 Compositor Tools (V3) Experimental", "CompositorTransformsOutV3": "💜 Compositor Transforms Output (V3)", } diff --git a/nodes_compositor.py b/nodes_compositor.py deleted file mode 100644 index edcf2d7..0000000 --- a/nodes_compositor.py +++ /dev/null @@ -1,193 +0,0 @@ -import nodes -import folder_paths -from server import PromptServer -# from aiohttp import web -import numpy as np -import base64 -from io import BytesIO -from PIL import Image, ImageOps -from comfy_execution.graph import ExecutionBlocker -from pathlib import Path -import random - -MAX_RESOLUTION = nodes.MAX_RESOLUTION - - -# these probably exist elsewhere as utils -def tensor2pil(image): - return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) - - -# these probably exist elsewhere as utils -def toBase64ImgUrl(img): - bytesIO = BytesIO() - img.save(bytesIO, format="PNG") - img_types = bytesIO.getvalue() - img_base64 = base64.b64encode(img_types) - return f"data:image/png;base64,{img_base64.decode('utf-8')}" - - -# compositor type is a customized LoadImage. the image is the output! -# basically we pretend we have loaded a composite image and return it. -# other stuff supports the gui -# ideally we would support any number of inputs to be composited -# it should not be necessary to pass b64 but just the names of the uploaded images -# author: erosdiffusionai@gmail.com - -class Compositor(nodes.LoadImage): - #OUTPUT_NODE = False - NOT_IDEMPOTENT = True - counter = 1 - - # By default, Comfy considers that a node has changed if any of its inputs or widgets have changed. - # This is normally correct, but you may need to override this if, for instance, - # the node uses a random number (and does not specify a seed - it’s best practice to have a seed input in this case - # so that the user can control reproducability and avoid unecessary execution), - # or loads an input that may have changed externally, or sometimes ignores inputs - # (so doesn’t need to execute just because those inputs changed). - # - # Despite the name, IS_CHANGED should not return a bool - # IS_CHANGED is passed the same arguments as the main function defined by FUNCTION, - # and can return any Python object. This object is compared with the one returned in the previous run (if any) - # and the node will be considered to have changed if is_changed != is_changed_old - # (this code is in execution.py if you need to dig). - # could also be @staticmethod but need to try, or not annotated - @classmethod - def IS_CHANGED(cls, **kwargs): - # it seems that for the image, it's ignored as something else changed ??? - file = kwargs.get("hash") - print(file) - return file - - # @classmethod - # def VALIDATE_INPUTS(cls, image, config): - # # YOLO, anything goes! - # return True - - # def check_lazy_status(self, image, config): - # needed = [] - # if image is None and other_condition: - # needed.append("image1") - # return needed - - @classmethod - def INPUT_TYPES(cls): - return { - "required": { - # about forceInput, lazy and other flags: https://docs.comfy.org/essentials/custom_node_datatypes - "image": ("COMPOSITOR", {"default": "test_empty.png"}), - "config": ("COMPOSITOR_CONFIG", {"forceInput": True}), - "fabricData": ("STRING", {"default": "{}"}), - "hash": ("STRING", {"default": "first run"}), - - }, - "hidden": { - "extra_pnginfo": "EXTRA_PNGINFO", - "node_id": "UNIQUE_ID", - }, - } - - RETURN_TYPES = ("IMAGE",) - RETURN_NAMES = ("composite",) - FUNCTION = "composite" - CATEGORY = "image" - - DESCRIPTION = """ -The compositor node -- drag click to select multiple -- shift click to add/remove from selected -- once you have a multiselection you can move/scale/rotate all the items in the selection together -- use the buffer zone to manipulate big items or park them -- z-index is no intuitive make sure your graph has the items in the same exact vertical sequence on how they are connected -- regenerating shows you the sequence, if something does not stack correctly regenerate to see where it goes -- using the pause button should stop the flow but somenodes don't interpret correctly the break and throw an error. it's irreleveant, just close it -- use "join image with alpha" to apply a mask (hand drawn or extracted via sam or other way) and get and rgba to pass to the node -- use Image remove background (rembg) from comfyui-rembg-node to extract an rgba image with no background -""" - - def composite(self, **kwargs): - image = kwargs.get('image', None) - config = kwargs.get('config', "default") - pause = config["pause"] - padding = config["padding"] - capture_on_queue = config["capture_on_queue"] - width = config["width"] - height = config["height"] - config_node_id = config["node_id"] - # images = config["images"] - names = config["names"] - fabricData = kwargs.get("fabricData") - storeTransforms = kwargs.get("storeTransforms") - use_alignment_controls = config["use_alignment_controls"] - - node_id = kwargs.pop('node_id', None) - # additional stuff we might send - # prompt - # extra_pnginfo - # EXTRA_PNGINFO <- will need to save x,y, scale, rotate, skew, etc inside here to be able to re-load - # EXTRA_PNGINFO is a dictionary that will be copied into the metadata of any .png files saved. - # Custom nodes can store additional information in this dictionary for saving - # (or as a way to communicate with a downstream node). - - images = [] - - # test progress callback - # self.progress("test1") - # self.progress("test2") - # self.progress("test3") - - # not needed for now, config controls the node - # PromptServer.instance.send_sync( - # "compositor.images", {"names": images, "node": node_id} - # ) - - # values to send the gui for update, includes base64 images - ui = { - "test": ("value",), - "pause": [pause], - "padding": [padding], - "capture_on_queue": [capture_on_queue], - "width": [width], - "height": [height], - "config_node_id": [config_node_id], - "node_id": [node_id], - # "images": images, - "names": names, - "image": [image], - "fabricData": [fabricData], - "storeTransforms": [storeTransforms], - "use_alignment_controls": [use_alignment_controls], - } - - invalidImage = self.imageDoesNotExist(image) - isPippo = self.imageIsPippo(image) - # print(image is None) - # if pause or image is None: - if pause or image is None or invalidImage or isPippo: - # at the end of my main method - # awkward return types, can't assign variable need tuple (val,) or list [val] - print( - f"compositor {node_id} with config {config_node_id} executed, with pause {pause} or image {image} is None {image is None} or invalidImage {invalidImage}]") - print(f"pause {pause}") - return {"ui": ui, "result": (ExecutionBlocker(None),)} - - else: - print( - f"compositor {node_id} with config {config_node_id} executed, else clause: image {image} is None ? {image is None} or invalidImage {invalidImage}") - return {"ui": ui, "result": super().load_image(folder_paths.get_annotated_filepath(image))} - - # example of progress feedback, not sure about the details dictionary signature: - # we're supposed to teg node and prompt_id - def progress(self, a): - # node (node id), prompt_id, value, max - # print(a) - self.counter = self.counter + 1 - PromptServer.instance.send_sync( - "progress", {"value": self.counter, "node": None, "prompt_id": None, "max": 10} - ) - - def imageDoesNotExist(self, image): - return not folder_paths.exists_annotated_filepath(image) - - def imageIsPippo(self, image): - return image == "test_empty.png" diff --git a/web/alignment.js b/web/tools.js similarity index 91% rename from web/alignment.js rename to web/tools.js index ba36b6f..acb79a1 100644 --- a/web/alignment.js +++ b/web/tools.js @@ -11,7 +11,7 @@ function getWidget(node, widgetName) { } app.registerExtension({ - name: "Comfy.Alignment", + name: "Comfy.CompositorTools3", async getCustomWidgets(app) { }, async setup(app) { @@ -30,7 +30,7 @@ app.registerExtension({ // console.log("afterConfigureGraph", args); - const tools = app.graph.findNodesByType("Alignment"); + const tools = app.graph.findNodesByType("CompositorTools3"); tools.forEach((node) => { const CHANNELNAME = `Tools${node.id}`; console.log(CHANNELNAME) @@ -59,8 +59,8 @@ app.registerExtension({ }) }, async nodeCreated(node) { - if (!isType("Alignment", node)) return; - console.log("better log it"); + if (!isType("CompositorTools3", node)) return; + // console.log("better log it"); node.serialize_widgets = false; node.isVirtualNode = true; }, From 0a57cb79fb71ee60a03c12d2f349303742fc1f77 Mon Sep 17 00:00:00 2001 From: Enrico Date: Fri, 20 Sep 2024 19:04:21 +0200 Subject: [PATCH 12/15] add gitignore --- .gitignore | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index 763624e..47af30d 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,4 @@ -__pycache__/* \ No newline at end of file +__pycache__/* +*.iml +.idea/** +/.idea/ From f13a00f6eed9867ae291aa8101e5aad775f4c55d Mon Sep 17 00:00:00 2001 From: Enrico Date: Fri, 20 Sep 2024 20:10:19 +0200 Subject: [PATCH 13/15] fix mask --- Compositor3.py | 6 +++--- CompositorConfig3.py | 29 ++++++++++++++++++++++++----- 2 files changed, 27 insertions(+), 8 deletions(-) diff --git a/Compositor3.py b/Compositor3.py index 6c97efd..be515cc 100644 --- a/Compositor3.py +++ b/Compositor3.py @@ -68,9 +68,9 @@ def composite(self, **kwargs): fabricData = kwargs.get("fabricData") configChanged = self.configCache != config - print(configChanged) - print(config) - print(self.configCache) + # print(configChanged) + # print(config) + # print(self.configCache) self.configCache = config diff --git a/CompositorConfig3.py b/CompositorConfig3.py index 46db217..a9bcef5 100644 --- a/CompositorConfig3.py +++ b/CompositorConfig3.py @@ -134,10 +134,11 @@ def configure(self, **kwargs): # tensor if mask is not None: - if normalizeHeight: - # print(mask) - #mask = self.upscale(img, "lanczos", height, "height", "disabled") - mask = processor.scale_image(mask, height) + # if normalizeHeight: + # # print(mask) + # #mask = self.upscale(img, "lanczos", height, "height", "disabled") + # mask = prepare_mask(mask, foo_is_batch=True) + # mask = processor.scale_image(mask, height) # apply the mask and return # apply the mask and return @@ -272,4 +273,22 @@ def scale_image(self, image_tensor, new_height): # Permute back to the original format [batch_size, height, width, channels] resized_images = resized_images.permute(0, 2, 3, 1) # [batch_size, height, width, channels] - return resized_images \ No newline at end of file + return resized_images + + +def prepare_mask(mask, foo_is_batch): + """ + Prepares the mask tensor to have shape [batch_size, height, width, channels]. + + Arguments: + mask: Tensor of shape [foo, width, height] + foo_is_batch: Bool, True if `foo` represents the batch size, False if it represents the channel. + """ + if foo_is_batch: + # Case where `foo` is the batch size, reshape to [batch_size, height, width, channels=1] + mask = mask.unsqueeze(3) # Add a channel dimension [batch_size, width, height] -> [batch_size, width, height, 1] + else: + # Case where `foo` is the channel dimension, reshape to [1, height, width, channels] + mask = mask.unsqueeze(0).permute(0, 2, 3, 1) # Add batch dim and permute to [1, height, width, channels] + + return mask \ No newline at end of file From 3e3c4eb04be5180f2a6eea6b263d438ca68f7005 Mon Sep 17 00:00:00 2001 From: Enrico Date: Fri, 20 Sep 2024 20:53:37 +0200 Subject: [PATCH 14/15] updated examples --- README.md | 40 +- assets/{v3.2.PNG => v3.0.2.PNG} | Bin assets/v3.1.PNG | Bin 0 -> 2414599 bytes assets/v3.1.json | 1304 +++++++++++++ ...1.0_multiple_instances_with_lettering.json | 1630 +++++++++++++++++ assets/{ => workflows}/v3.json | 0 pyproject.toml | 2 +- 7 files changed, 2954 insertions(+), 22 deletions(-) rename assets/{v3.2.PNG => v3.0.2.PNG} (100%) create mode 100644 assets/v3.1.PNG create mode 100644 assets/v3.1.json create mode 100644 assets/workflows/v3.1.0_multiple_instances_with_lettering.json rename assets/{ => workflows}/v3.json (100%) diff --git a/README.md b/README.md index f804d97..706ef19 100644 --- a/README.md +++ b/README.md @@ -21,8 +21,8 @@ With the Compositor Node you can: - Use the information about transforms in other nodes (like conditioning set area) ## Changelog -- v **3.0.9** - 20.09.2024 - - _new feature_: **onConfigChange action toggle** when you change the configuration (or any of the attached nodes) you can now choose if +- v **3.1.0** - 20.09.2024 + - _new feature_: **onConfigChange action toggle** when you change the configuration (or any of the attached nodes) you can now choose if_ - you want to stop the flow to allow edits - or you want to grab a capture and continue the flow - _enhancement_: output transforms now give you back the angle and bounding box coordinates @@ -34,31 +34,29 @@ With the Compositor Node you can: - **reset transforms** zeroes out the changes to images bringing them to their original size, angle and 0,0 location (top left) - limitations: as saving discards the selection, and it happens on mouse out you might need to re-select to use centering and reset - + +![the compositor node](/assets/v3.1.PNG) + - v **3.0.8** - 18.09.2024 - - _new feature_: **invert mask** option. the implementation of mask was not correct. now it's possible to invert the mask via toggle. - - _new feature_: **angle output** the angle of rotation is now accessible in the output (and soon the bounding box x,y, width and height). - - _bugfix_: **fix cut images on swap due to wrongly preserved width and height** - - _new feature: **added force int** to allow the outputs to be used with set area conditioning (that requires int) + - _new feature_: **invert mask** option. the implementation of mask was not correct. now it's possible to invert the mask via toggle. + - _new feature_: **angle output** the angle of rotation is now accessible in the output (and soon the bounding box x,y, width and height). + - _bugfix_: **fix cut images on swap due to wrongly preserved width and height** + - _new feature: **added force int** to allow the outputs to be used with set area conditioning (that requires int) - v **3.0.4** - 18.09.2024 - **bugfix**: the width and height stored in transforms were swapped and the output node would report them incorrectly. thanks @sky958958 for spotting it - v **3.0.2** - 17.09.2024 - **friendly transforms** for area prompting! With the goal of being able to do regional area prompting, now you can easily output each input x,y coordinates and their scaled width and height with the help of the new **Transform Output** node! - select the channel corresponding the input and the node will output the values for you. - - _enhancement_: a **new node** outputs x,y,width,height other images into a convenient node to be attached to the transforms output - - _enhancement_: save and restore skew from transform (now you can distort your images to help fake perspective) + select the channel corresponding the input and the node will output the values for you. + - _enhancement_: a **new node** outputs x,y,width,height other images into a convenient node to be attached to the transforms output + - _enhancement_: save and restore skew from transform (now you can distort your images to help fake perspective) - v **3.0.0** - 16.09.2024 - this release is a full rewrite of the code and fixes: - - issues #45 , #34, #18 - also, and adds **new features**: - - _enhancement_: **simplified control panel** (cature on queue, save transform, pause are removed as not needed anymore) - - _new feature_: **automatic upload** of the output **on mouse out** of the canvas area (no need to click capture) - - _new feature_: **flash on save** (once the image is uploaded the composition area green border briefly flashes in orange) - - _new feature_: **preliminary work for optional control panels** (they will contain alignment controls, and other tools) - - _enhancement_: enqueue with **continue**, on the first run, if necessary information is missing (like output) the flow will stop, make your composition, and click continue to re-enqueue the flash finishes. - - -![the compositor node](/assets/v3.PNG) - + - issues #45 , #34, #18 + also, and adds **new features**: + - _enhancement_: **simplified control panel** (cature on queue, save transform, pause are removed as not needed anymore) + - _new feature_: **automatic upload** of the output **on mouse out** of the canvas area (no need to click capture) + - _new feature_: **flash on save** (once the image is uploaded the composition area green border briefly flashes in orange) + - _new feature_: **preliminary work for optional control panels** (they will contain alignment controls, and other tools) + - _enhancement_: enqueue with **continue**, on the first run, if necessary information is missing (like output) the flow will stop, make your composition, and click continue to re-enqueue the flash finishes. - v **2.0.4** - 06.09.2024 - _enhancement_: You can now **scale the selected image via mouse wheel**! - v **2.0.1** - 05.09.2024 - **V2 is HERE!** - _enhancement_: An all **new widget layout** with maximized working area and less clutter diff --git a/assets/v3.2.PNG b/assets/v3.0.2.PNG similarity index 100% rename from assets/v3.2.PNG rename to assets/v3.0.2.PNG diff --git a/assets/v3.1.PNG b/assets/v3.1.PNG new file mode 100644 index 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