From ef5e300594b2946b9d0c91b54248ecba4d43ae97 Mon Sep 17 00:00:00 2001 From: Maxed-Out-99 Date: Fri, 20 Jun 2025 10:29:53 -0700 Subject: [PATCH] Initial clean commit --- README.md | 2 + __init__.py | 9 + kjweb_async/marked.min.js | 6 + kjweb_async/purify.min.js | 3 + maxedoutnodes.py | 338 +++++++++++++++++++++++++++++++++ web/green.png | Bin 0 -> 2340 bytes web/js/help_popup.js | 326 ++++++++++++++++++++++++++++++++ web/js/jsnodes.js | 385 ++++++++++++++++++++++++++++++++++++++ web/red.png | Bin 0 -> 2334 bytes 9 files changed, 1069 insertions(+) create mode 100644 README.md create mode 100644 __init__.py create mode 100644 kjweb_async/marked.min.js create mode 100644 kjweb_async/purify.min.js create mode 100644 maxedoutnodes.py create mode 100644 web/green.png create mode 100644 web/js/help_popup.js create mode 100644 web/js/jsnodes.js create mode 100644 web/red.png diff --git a/README.md b/README.md new file mode 100644 index 0000000..0591b7f --- /dev/null +++ b/README.md @@ -0,0 +1,2 @@ +# ComfyUI-MaxedOut +Custom ComfyUI nodes used in Maxed Out workflows (SDXL, Flux, etc.) diff --git a/__init__.py b/__init__.py new file mode 100644 index 0000000..d94f11b --- /dev/null +++ b/__init__.py @@ -0,0 +1,9 @@ +from .maxedoutnodes import ( + NODE_CLASS_MAPPINGS, + NODE_DISPLAY_NAME_MAPPINGS, +) + +__all__ = [ + "NODE_CLASS_MAPPINGS", + "NODE_DISPLAY_NAME_MAPPINGS", +] diff --git a/kjweb_async/marked.min.js b/kjweb_async/marked.min.js new file mode 100644 index 0000000..2e66c36 --- /dev/null +++ b/kjweb_async/marked.min.js @@ -0,0 +1,6 @@ +/** + * marked v12.0.1 - a markdown parser + * Copyright (c) 2011-2024, Christopher Jeffrey. 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1408), + "Standard (4:3) 1664x1216": (1664, 1216), + "Landscape (3:2) 1728x1152": (1728, 1152), + "Widescreen (16:9) 1920x1088": (1920, 1088), + "Ultrawide (21:9) 2176x960": (2176, 960), + + "— Standard Resolutions —": None, + "Square (1:1) 1024x1024": (1024, 1024), + "Standard (4:3) 1152x896": (1152, 896), + "Landscape (3:2) 1216x832": (1216, 832), + "Widescreen (16:9) 1344x768": (1344, 768), + "Ultrawide (21:9) 1536x640": (1536, 640), + + "— Low Resolutions —": None, + "Square (1:1) 320x320": (320, 320), + "Standard (4:3) 448x320": (448, 320), + "Landscape (3:2) 384x256": (384, 256), + "Widescreen (16:9) 448x256": (448, 256), + "Ultrawide (21:9) 576x256": (576, 256), + } + + def __init__(self): + self.device = comfy.model_management.intermediate_device() + + @classmethod + def INPUT_TYPES(cls) -> dict: + return { + "required": { + "resolution": ( + list(cls.RESOLUTIONS.keys()), + {"default": "Square (1:1) 1024x1024"} + ), + "vertical": ("BOOLEAN",), + "batch_size": ( + "INT", + { + "default": 1, + "min": 1, + "max": 4096, + "tooltip": "The number of latent images in the batch." + } + ) + } + } + + RETURN_TYPES = ("LATENT",) + OUTPUT_TOOLTIPS = ("The empty latent image batch.",) + FUNCTION = "generate" + + def generate(self, resolution, vertical, batch_size=1) -> tuple: + size = self.RESOLUTIONS.get(resolution) + if size is None: + raise ValueError(f"'{resolution}' is a header or invalid option.") + + width, height = size + if vertical: + width, height = height, width + + latent = torch.zeros([batch_size, 16, height // 8, width // 8], device=self.device) + return ({"samples": latent},) + +######################################################################################################################## +# Sdxl Empty Latent Image +class SdxlEmptyLatentImage: + DESCRIPTION = """ + - Generates empty latent images. + + - All supported SDXL resolutions + are predefined for ease of use. + + - Meant to save time from manually entering + the resolution in the "Empty Latent Image" node. + """ + TITLE = "Sdxl Empty Latent Image (With Resolutions)" + CATEGORY = "KJNodes/Latent" + + # SDXL predefined resolutions (width, height) + RESOLUTIONS = { + "Square (1:1) 1024x1024": (1024, 1024), + "Standard (4:3) 1152x896": (1152, 896), + "Landscape (3:2) 1216x832": (1216, 832), + "Widescreen (16:9) 1344x768": (1344, 768), + "Ultra-Wide (21:9) 1536x640": (1536, 640), + } + + def __init__(self): + # Retrieve the intermediate device (usually the GPU) from ComfyUI's model management. + self.device = comfy.model_management.intermediate_device() + + @classmethod + def INPUT_TYPES(cls) -> dict: + return { + "required": { + # Dropdown selection for one of the predefined SDXL resolutions. + "resolution": (list(cls.RESOLUTIONS.keys()),), + # Toggle for vertical mode (swaps width and height). + "vertical": ("BOOLEAN",), + # Number of latent images to create in the batch. + "batch_size": ( + "INT", + { + "default": 1, + "min": 1, + "max": 4096, + "tooltip": "The number of latent images in the batch." + } + ) + } + } + + RETURN_TYPES = ("LATENT",) + OUTPUT_TOOLTIPS = ("The empty latent image batch.",) + FUNCTION = "generate" + + def generate(self, resolution, vertical, batch_size=1) -> tuple: + # Get the selected resolution tuple (width, height) + width, height = self.RESOLUTIONS[resolution] + # If vertical mode is enabled, swap width and height. + if vertical: + width, height = height, width + + # Create an empty latent tensor. + # Typically, the latent space has 4 channels and each spatial dimension is 1/8th of the image. + latent = torch.zeros([batch_size, 4, height // 8, width // 8], device=self.device) + return ({"samples": latent},) + +######################################################################################################################## +# Image Scale To Total Pixels (SDXL Safe) +class ImageScaleToTotalPixelsSafe: + DESCRIPTION = """ + - Scales to target megapixel count, preserving aspect ratio. + + - If image matches SDXL resolutions (e.g. those used in + "SDXL Empty Latent Image" node), scaling is skipped. + + - Meant for SDXL workflows (e.g. image-to-image, inpainting) + to auto-scale random images but not images already made with SDXL. + """ + upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"] + + # SDXL-safe resolutions (width, height) – store one orientation only, + # the code will check both (w, h) and (h, w) + SDXL_SAFE_RESOLUTIONS = [ + (1024, 1024), + (1152, 896), + (1216, 832), + (1344, 768), + (1536, 640), + ] + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "upscale_method": (cls.upscale_methods,), + "total_megapixels": ( + "FLOAT", + { + "default": 1.0, + "min": 0.01, + "max": 128.0, + "step": 0.01, + "tooltip": "Set the total megapixels (e.g., 1.0 = 1 MP)", + }, + ), + } + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "upscale" + CATEGORY = "KJNodes/Upscaling" + + def upscale(self, image, upscale_method, total_megapixels): + b, h, w, c = image.shape + + # Skip scaling if the image already matches an SDXL-safe resolution + if (w, h) in self.SDXL_SAFE_RESOLUTIONS or (h, w) in self.SDXL_SAFE_RESOLUTIONS: + return (image,) + + # ComfyUI-native megapixel math + samples = image.movedim(-1, 1) + orig_h, orig_w = samples.shape[2], samples.shape[3] + + target_pixels = int(round(total_megapixels * 1024 * 1024)) + scale_by = math.sqrt(target_pixels / (orig_w * orig_h)) + + new_w = max(1, round(orig_w * scale_by)) + new_h = max(1, round(orig_h * scale_by)) + + scaled = comfy.utils.common_upscale(samples, new_w, new_h, upscale_method, "disabled") + scaled = scaled.movedim(1, -1) + return (scaled,) + +######################################################################################################################## +# Flux Image Scale To Total Pixels (Flux Safe) +class FluxImageScaleToTotalPixelsSafe: + DESCRIPTION = """ + - Scales to target megapixel count, preserving aspect ratio. + + - If image matches Flux-safe resolutions (e.g. those used in + the Flux Empty Latent Image node), scaling is skipped. + + - Meant for image-to-image or inpainting workflows to auto-scale + arbitrary images, but skip images already matching Flux resolutions. + """ + upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"] + + # Flux-safe resolutions (width, height) – stored in one orientation only + FLUX_SAFE_RESOLUTIONS = [ + (1408, 1408), + (1728, 1152), + (1664, 1216), + (1920, 1088), + (2176, 960), + (1024, 1024), + (1216, 832), + (1152, 896), + (1344, 768), + (1536, 640), + (320, 320), + (384, 256), + (448, 320), + (448, 256), + (576, 256), + ] + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "upscale_method": (cls.upscale_methods, ), + "total_megapixels": ( + "FLOAT", + { + "default": 1.0, + "min": 0.01, + "max": 128.0, + "step": 0.01, + "tooltip": "Set the total megapixels (e.g., 1.0 = 1 MP)", + }, + ), + } + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "upscale" + CATEGORY = "KJNodes/Upscaling" + + def upscale(self, image, upscale_method, total_megapixels): + b, h, w, c = image.shape + + # Skip scaling if image matches any Flux-safe resolution + if (w, h) in self.FLUX_SAFE_RESOLUTIONS or (h, w) in self.FLUX_SAFE_RESOLUTIONS: + return (image,) + + samples = image.movedim(-1, 1) + orig_h, orig_w = samples.shape[2], samples.shape[3] + + target_pixels = int(round(total_megapixels * 1024 * 1024)) + scale_by = math.sqrt(target_pixels / (orig_w * orig_h)) + + new_w = max(1, round(orig_w * scale_by)) + new_h = max(1, round(orig_h * scale_by)) + + scaled = comfy.utils.common_upscale(samples, new_w, new_h, upscale_method, "disabled") + scaled = scaled.movedim(1, -1) + return (scaled,) + +######################################################################################################################## +# Prompt with Guidance (Flux) +class PromptWithGuidance(ComfyNodeABC): + DESCRIPTION = """ + - Combines clip text encode with flux guidance to lower node count. + + - Also removes the need to convert them into node group within ComfyUI. + """ + @classmethod + def INPUT_TYPES(cls) -> InputTypeDict: + return { + "required": { + "text": (IO.STRING, {"multiline": True, "dynamicPrompts": True}), + "clip": (IO.CLIP, {"tooltip": "The CLIP model used for encoding the text."}), + "guidance": ("FLOAT", {"default": 3.5, "min": 0.0, "max": 100.0, "step": 0.1}) + } + } + + RETURN_TYPES = (IO.CONDITIONING,) + FUNCTION = "encode_and_guide" + CATEGORY = "KJNodes/conditioning" + + def encode_and_guide(self, text, clip, guidance): + if clip is None: + raise RuntimeError("CLIP model is None. Your checkpoint may not contain a text encoder.") + + tokens = clip.tokenize(text) + conditioning = clip.encode_from_tokens_scheduled(tokens) + conditioning = node_helpers.conditioning_set_values(conditioning, {"guidance": guidance}) + return (conditioning,) + +######################################################################################################################## + +# NODE MAPPING +NODE_CLASS_MAPPINGS = { + "Flux Empty Latent Image": FluxEmptyLatentImage, + "Sdxl Empty Latent Image": SdxlEmptyLatentImage, + "Image Scale To Total Pixels (SDXL Safe)": ImageScaleToTotalPixelsSafe, + "Flux Image Scale To Total Pixels (Flux Safe)": FluxImageScaleToTotalPixelsSafe, + "Prompt With Guidance (Flux)": PromptWithGuidance, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "Flux Empty Latent Image": "Flux Empty Latent Image MXD", + "Sdxl Empty Latent Image": "SDXL Empty Latent Image MXD", + "Image Scale To Total Pixels (SDXL Safe)": "Scale Image (SDXL Safe) MXD", + "Flux Image Scale To Total Pixels (Flux Safe)": "Scale Image (Flux Safe) MXD", + "Prompt With Guidance (Flux)": "Prompt with Flux Guidance MXD", +} diff --git a/web/green.png b/web/green.png new file mode 100644 index 0000000000000000000000000000000000000000..900964e4b3907145fe1e75a5b58473567450e16d GIT binary patch literal 2340 zcmbtW`#%$GAKsW8vWHqiVq|h^IhC0+IUk24a%inh6JicIA5xx>Q-^t(!>AZd4O4n+ zA}t|CX_;sqhvbk$$P)HW@AG-yKj6JT_w~KL_jP^m`+NU(-&rU(d$7a-2><{9c66}u z6tMCR#C8c{R6@e4fDEyx9dWL%T7ncHCxC+hz<*c>cmN>sw;~2q_$QYZXn;_J+Rird zOLlfqJL}(LSnF}0AQ6vn@D+%=_wE4rZZu_6AWB8so{qM|hhhPyG2zkp=uqr=^E*u+ zi2_S*$Ff03V*&cQ`UX0>NF9A6WxeCZ$BrB8BI>-rX9P9UJ2fZqVOW5!uJPYfZ@%O3 z%bk9|k0zjhn|kdYGKT~rct<=T&q zpT`pZ*XF3+u~w@G@&JHnildFy$MO{suqX5{DGKPCwOWA#z7kdE>7Ya=Tzy~A?Kpz_ z#_L>2xcnz;{q5Ukh%q}3*H;?VI-NA#Sq4@C<>>iouIJ~NK5?ekX%D_1JlcHX8~QTX zf?xH*DWJx0IVLrct}d`@FQHAU)(A!gr`WOj5Km7Jid3pEw^Qet z0?8(ZB!I!^9K+`rHvckh)Mp~WU+Tqc)(WrXP{q3Fm|O|(`a9d7bFup7iK{)2lUAE> zUMo27`ZfwgU-VdBS2^HFHF-viIj%80CfrokGguTVW0!J+&7!~+gnZhkthzX?0dud4 zTnp2m-)M20RNtt5ik5cIa2>st#C`@dPKuT+V(pE3>7xr8K*v`X(UM_DBoX7xuFMa- zWQDQH2q%U*;4HniynOpg^7`a0b{W%(BBnrQkoprz+W~EvX&S&f1Iv%T5yeCOHs`3m zX^g3U#gwzthY?|tOV9v@F4=)F5T4SA47Tvwtc!UD#ef(YCe-QN3mD+7+PNOsN6G0E z!Is;l*XHk3BPCRw4Uf0jNj*CN&ARaRQfuCOcIt6J*j`Q zZq5fU{O{WH-wU=hR>r*yYN7Q=JN{MIH7?EI&Gsu#p2wP+rEdP%42Db3>GYvW#L(LR z99+8qX&X(wCLGe`UvI(+Yxi-M3^VO2(R1b$OBo_@IUU;7uG{)ix18JnK{KVzkKQI{ zHjRQladEO-p`@?eTS{1`P&*2PuXTwW)rMI_K^_V`>=> z#|4p)&@VOa4u!oxRDw$sD-M38h&#|9ctC@z(oPYY9Yu@1VDaULu4jExCw;lfDcp@N zd{trHqx^b**4M0Jg9gayGm6byuJ^J7r)ci!@saH3MX(t$CD1FQ4C4FBG;CnZl^A#J zmN=m3ir4K2&b*W8D1d{NZ zFozHaeD?_FBcM`cA=&Y4{PPo}CLM(yyhd7UFwJQW7)zM7a9FsH{iI4|C1lyMpRqzF zo_%P1vzhZ0vJiqd)i{#vM2!7qzfeJ{?HqvDKxA+3{5YwA$OHKo6hWYK2dz4-7N| zf=?neB(efF2{xUKe)~9Y(o*+!%qJziK{FJ~^1i~oDWmH_3kz^@FaDjdckb~xv+859 zM1SN=ZuG)B!-KpDm?w*Ha41*(hws*+v&Hf+^a_HiVo%s!N&y_9DnyO zI#_6oqIcUQV~7H86lXmtOO4<#WCPn5=Nh%$8~0?)nVPo_mNp>GEKQPBV|w$~BZM%A zeA~qR^B~uQvt@xZiXM2z+S$nB4ZK^{e8BG5BKwf%7%rN}H3Y=Gncr%`qf>j1x>fv9 zrWvTKI9dSSGv`sYD4ZZ+Y1!3~R?raY_!?Z(AgXFMnDn-17Dww1^1bvt!~(D=QK zryh-P-t65YU85FFR*JxAYNh4gtqyWHlR8n(zhCe68O$2z$K(7WY{!6AG#~5-xbC|Nl=5z|q#t=Arf3EB^rinH$Xj literal 0 HcmV?d00001 diff --git a/web/js/help_popup.js b/web/js/help_popup.js new file mode 100644 index 0000000..ff9056f --- /dev/null +++ b/web/js/help_popup.js @@ -0,0 +1,326 @@ +import { app } from "../../../scripts/app.js"; + +// code based on mtb nodes by Mel Massadian https://github.com/melMass/comfy_mtb/ +export const loadScript = ( + FILE_URL, + async = true, + type = 'text/javascript', +) => { + return new Promise((resolve, reject) => { + try { + // Check if the script already exists + const existingScript = document.querySelector(`script[src="${FILE_URL}"]`) + if (existingScript) { + resolve({ status: true, message: 'Script already loaded' }) + return + } + + const scriptEle = document.createElement('script') + scriptEle.type = type + scriptEle.async = async + scriptEle.src = FILE_URL + + scriptEle.addEventListener('load', (ev) => { + resolve({ status: true }) + }) + + scriptEle.addEventListener('error', (ev) => { + reject({ + status: false, + message: `Failed to load the script ${FILE_URL}`, + }) + }) + + document.body.appendChild(scriptEle) + } catch (error) { + reject(error) + } + }) +} + +loadScript('/kjweb_async/marked.min.js').catch((e) => { + console.log(e) +}) +loadScript('/kjweb_async/purify.min.js').catch((e) => { + console.log(e) +}) + +const categories = ["KJNodes", "SUPIR", "VoiceCraft", "Marigold", "IC-Light", "WanVideoWrapper"]; +app.registerExtension({ + name: "KJNodes.HelpPopup", + async beforeRegisterNodeDef(nodeType, nodeData) { + + if (app.ui.settings.getSettingValue("KJNodes.helpPopup") === false) { + return; + } + try { + categories.forEach(category => { + if (nodeData?.category?.startsWith(category)) { + addDocumentation(nodeData, nodeType); + } + else return + }); + } catch (error) { + console.error("Error in registering KJNodes.HelpPopup", error); + } + }, +}); + +const create_documentation_stylesheet = () => { + const tag = 'kj-documentation-stylesheet' + + let styleTag = document.head.querySelector(tag) + + if (!styleTag) { + styleTag = document.createElement('style') + styleTag.type = 'text/css' + styleTag.id = tag + styleTag.innerHTML = ` + .kj-documentation-popup { + background: var(--comfy-menu-bg); + position: absolute; + color: var(--fg-color); + font: 12px monospace; + line-height: 1.5em; + padding: 10px; + border-radius: 10px; + border-style: solid; + border-width: medium; + border-color: var(--border-color); + z-index: 5; + overflow: hidden; + } + .content-wrapper { + overflow: auto; + max-height: 100%; + /* Scrollbar styling for Chrome */ + &::-webkit-scrollbar { + width: 6px; + } + &::-webkit-scrollbar-track { + background: var(--bg-color); + } + &::-webkit-scrollbar-thumb { + background-color: var(--fg-color); + border-radius: 6px; + border: 3px solid var(--bg-color); + } + + /* Scrollbar styling for Firefox */ + scrollbar-width: thin; + scrollbar-color: var(--fg-color) var(--bg-color); + a { + color: yellow; + } + a:visited { + color: orange; + } + a:hover { + color: red; + } + } + ` + document.head.appendChild(styleTag) + } + } + + /** Add documentation widget to the selected node */ + export const addDocumentation = ( + nodeData, + nodeType, + opts = { icon_size: 14, icon_margin: 4 },) => { + + opts = opts || {} + const iconSize = opts.icon_size ? opts.icon_size : 14 + const iconMargin = opts.icon_margin ? opts.icon_margin : 4 + let docElement = null + let contentWrapper = null + //if no description in the node python code, don't do anything + if (!nodeData.description) { + return + } + + const drawFg = nodeType.prototype.onDrawForeground + nodeType.prototype.onDrawForeground = function (ctx) { + const r = drawFg ? drawFg.apply(this, arguments) : undefined + if (this.flags.collapsed) return r + + // icon position + const x = this.size[0] - iconSize - iconMargin + + // create the popup + if (this.show_doc && docElement === null) { + docElement = document.createElement('div') + contentWrapper = document.createElement('div'); + docElement.appendChild(contentWrapper); + + create_documentation_stylesheet() + contentWrapper.classList.add('content-wrapper'); + docElement.classList.add('kj-documentation-popup') + + //parse the string from the python node code to html with marked, and sanitize the html with DOMPurify + contentWrapper.innerHTML = DOMPurify.sanitize(marked.parse(nodeData.description,)) + + // resize handle + const resizeHandle = document.createElement('div'); + resizeHandle.style.width = '0'; + resizeHandle.style.height = '0'; + resizeHandle.style.position = 'absolute'; + resizeHandle.style.bottom = '0'; + resizeHandle.style.right = '0'; + resizeHandle.style.cursor = 'se-resize'; + + // Add pseudo-elements to create a triangle shape + const borderColor = getComputedStyle(document.documentElement).getPropertyValue('--border-color').trim(); + resizeHandle.style.borderTop = '10px solid transparent'; + resizeHandle.style.borderLeft = '10px solid transparent'; + resizeHandle.style.borderBottom = `10px solid ${borderColor}`; + resizeHandle.style.borderRight = `10px solid ${borderColor}`; + + docElement.appendChild(resizeHandle) + let isResizing = false + let startX, startY, startWidth, startHeight + + resizeHandle.addEventListener('mousedown', function (e) { + e.preventDefault(); + e.stopPropagation(); + isResizing = true; + startX = e.clientX; + startY = e.clientY; + startWidth = parseInt(document.defaultView.getComputedStyle(docElement).width, 10); + startHeight = parseInt(document.defaultView.getComputedStyle(docElement).height, 10); + }, + { signal: this.docCtrl.signal }, + ); + + // close button + const closeButton = document.createElement('div'); + closeButton.textContent = '❌'; + closeButton.style.position = 'absolute'; + closeButton.style.top = '0'; + closeButton.style.right = '0'; + closeButton.style.cursor = 'pointer'; + closeButton.style.padding = '5px'; + closeButton.style.color = 'red'; + closeButton.style.fontSize = '12px'; + + docElement.appendChild(closeButton) + + closeButton.addEventListener('mousedown', (e) => { + e.stopPropagation(); + this.show_doc = !this.show_doc + docElement.parentNode.removeChild(docElement) + docElement = null + if (contentWrapper) { + contentWrapper.remove() + contentWrapper = null + } + }, + { signal: this.docCtrl.signal }, + ); + + document.addEventListener('mousemove', function (e) { + if (!isResizing) return; + const scale = app.canvas.ds.scale; + const newWidth = startWidth + (e.clientX - startX) / scale; + const newHeight = startHeight + (e.clientY - startY) / scale;; + docElement.style.width = `${newWidth}px`; + docElement.style.height = `${newHeight}px`; + }, + { signal: this.docCtrl.signal }, + ); + + document.addEventListener('mouseup', function () { + isResizing = false + }, + { signal: this.docCtrl.signal }, + ) + + document.body.appendChild(docElement) + } + // close the popup + else if (!this.show_doc && docElement !== null) { + docElement.parentNode.removeChild(docElement) + docElement = null + } + // update position of the popup + if (this.show_doc && docElement !== null) { + const rect = ctx.canvas.getBoundingClientRect() + const scaleX = rect.width / ctx.canvas.width + const scaleY = rect.height / ctx.canvas.height + + const transform = new DOMMatrix() + .scaleSelf(scaleX, scaleY) + .multiplySelf(ctx.getTransform()) + .translateSelf(this.size[0] * scaleX * Math.max(1.0,window.devicePixelRatio) , 0) + .translateSelf(10, -32) + + const scale = new DOMMatrix() + .scaleSelf(transform.a, transform.d); + const bcr = app.canvas.canvas.getBoundingClientRect() + + const styleObject = { + transformOrigin: '0 0', + transform: scale, + left: `${transform.a + bcr.x + transform.e}px`, + top: `${transform.d + bcr.y + transform.f}px`, + }; + Object.assign(docElement.style, styleObject); + } + + ctx.save() + ctx.translate(x - 2, iconSize - 34) + ctx.scale(iconSize / 32, iconSize / 32) + ctx.strokeStyle = 'rgba(255,255,255,0.3)' + ctx.lineCap = 'round' + ctx.lineJoin = 'round' + ctx.lineWidth = 2.4 + ctx.font = 'bold 36px monospace' + ctx.fillStyle = 'orange'; + ctx.fillText('?', 0, 24) + ctx.restore() + return r + } + // handle clicking of the icon + const mouseDown = nodeType.prototype.onMouseDown + nodeType.prototype.onMouseDown = function (e, localPos, canvas) { + const r = mouseDown ? mouseDown.apply(this, arguments) : undefined + const iconX = this.size[0] - iconSize - iconMargin + const iconY = iconSize - 34 + if ( + localPos[0] > iconX && + localPos[0] < iconX + iconSize && + localPos[1] > iconY && + localPos[1] < iconY + iconSize + ) { + if (this.show_doc === undefined) { + this.show_doc = true + } else { + this.show_doc = !this.show_doc + } + if (this.show_doc) { + this.docCtrl = new AbortController() + } else { + this.docCtrl.abort() + } + return true; + } + return r; + } + const onRem = nodeType.prototype.onRemoved + + nodeType.prototype.onRemoved = function () { + const r = onRem ? onRem.apply(this, []) : undefined + + if (docElement) { + docElement.remove() + docElement = null + } + + if (contentWrapper) { + contentWrapper.remove() + contentWrapper = null + } + return r + } +} \ No newline at end of file diff --git a/web/js/jsnodes.js b/web/js/jsnodes.js new file mode 100644 index 0000000..566a5d9 --- /dev/null +++ b/web/js/jsnodes.js @@ -0,0 +1,385 @@ +import { app } from "../../../scripts/app.js"; +import { applyTextReplacements } from "../../../scripts/utils.js"; + +app.registerExtension({ + name: "KJNodes.jsnodes", + async beforeRegisterNodeDef(nodeType, nodeData, app) { + if(!nodeData?.category?.startsWith("KJNodes")) { + return; + } + switch (nodeData.name) { + case "ConditioningMultiCombine": + nodeType.prototype.onNodeCreated = function () { + this._type = "CONDITIONING" + this.inputs_offset = nodeData.name.includes("selective")?1:0 + this.addWidget("button", "Update inputs", null, () => { + if (!this.inputs) { + this.inputs = []; + } + const target_number_of_inputs = this.widgets.find(w => w.name === "inputcount")["value"]; + const num_inputs = this.inputs.filter(input => input.type === this._type).length + if(target_number_of_inputs===num_inputs)return; // already set, do nothing + + if(target_number_of_inputs < num_inputs){ + const inputs_to_remove = num_inputs - target_number_of_inputs; + for(let i = 0; i < inputs_to_remove; i++) { + this.removeInput(this.inputs.length - 1); + } + } + else{ + for(let i = num_inputs+1; i <= target_number_of_inputs; ++i) + this.addInput(`conditioning_${i}`, this._type) + } + }); + } + break; + case "ImageBatchMulti": + case "ImageAddMulti": + case "ImageConcatMulti": + case "CrossFadeImagesMulti": + case "TransitionImagesMulti": + nodeType.prototype.onNodeCreated = function () { + this._type = "IMAGE" + this.addWidget("button", "Update inputs", null, () => { + if (!this.inputs) { + this.inputs = []; + } + const target_number_of_inputs = this.widgets.find(w => w.name === "inputcount")["value"]; + const num_inputs = this.inputs.filter(input => input.type === this._type).length + if(target_number_of_inputs===num_inputs)return; // already set, do nothing + + if(target_number_of_inputs < num_inputs){ + const inputs_to_remove = num_inputs - target_number_of_inputs; + for(let i = 0; i < inputs_to_remove; i++) { + this.removeInput(this.inputs.length - 1); + } + } + else{ + for(let i = num_inputs+1; i <= target_number_of_inputs; ++i) + this.addInput(`image_${i}`, this._type) + } + + }); + } + break; + case "MaskBatchMulti": + nodeType.prototype.onNodeCreated = function () { + this._type = "MASK" + this.addWidget("button", "Update inputs", null, () => { + if (!this.inputs) { + this.inputs = []; + } + const target_number_of_inputs = this.widgets.find(w => w.name === "inputcount")["value"]; + const num_inputs = this.inputs.filter(input => input.type === this._type).length + if(target_number_of_inputs===num_inputs)return; // already set, do nothing + + if(target_number_of_inputs < num_inputs){ + const inputs_to_remove = num_inputs - target_number_of_inputs; + for(let i = 0; i < inputs_to_remove; i++) { + this.removeInput(this.inputs.length - 1); + } + } + else{ + for(let i = num_inputs+1; i <= target_number_of_inputs; ++i) + this.addInput(`mask_${i}`, this._type) + } + }); + } + break; + + case "FluxBlockLoraSelect": + case "HunyuanVideoBlockLoraSelect": + nodeType.prototype.onNodeCreated = function () { + this.addWidget("button", "Set all", null, () => { + const userInput = prompt("Enter the values to set for widgets (e.g., s0,1,2-7=2.0, d0,1,2-7=2.0, or 1.0):", ""); + if (userInput) { + const regex = /([sd])?(\d+(?:,\d+|-?\d+)*?)?=(\d+(\.\d+)?)/; + const match = userInput.match(regex); + if (match) { + const type = match[1]; + const indicesPart = match[2]; + const value = parseFloat(match[3]); + + let targetWidgets = []; + if (type === 's') { + targetWidgets = this.widgets.filter(widget => widget.name.includes("single")); + } else if (type === 'd') { + targetWidgets = this.widgets.filter(widget => widget.name.includes("double")); + } else { + targetWidgets = this.widgets; // No type specified, all widgets + } + + if (indicesPart) { + const indices = indicesPart.split(',').flatMap(part => { + if (part.includes('-')) { + const [start, end] = part.split('-').map(Number); + return Array.from({ length: end - start + 1 }, (_, i) => start + i); + } + return Number(part); + }); + + for (const index of indices) { + if (index < targetWidgets.length) { + targetWidgets[index].value = value; + } + } + } else { + // No indices provided, set value for all target widgets + for (const widget of targetWidgets) { + widget.value = value; + } + } + } else if (!isNaN(parseFloat(userInput))) { + // Single value provided, set it for all widgets + const value = parseFloat(userInput); + for (const widget of this.widgets) { + widget.value = value; + } + } else { + alert("Invalid input format. Please use the format s0,1,2-7=2.0, d0,1,2-7=2.0, or 1.0"); + } + } else { + alert("Invalid input. Please enter a value."); + } + }); + }; + break; + + case "GetMaskSizeAndCount": + const onGetMaskSizeConnectInput = nodeType.prototype.onConnectInput; + nodeType.prototype.onConnectInput = function (targetSlot, type, output, originNode, originSlot) { + const v = onGetMaskSizeConnectInput? onGetMaskSizeConnectInput.apply(this, arguments): undefined + this.outputs[1]["label"] = "width" + this.outputs[2]["label"] = "height" + this.outputs[3]["label"] = "count" + return v; + } + const onGetMaskSizeExecuted = nodeType.prototype.onAfterExecuteNode; + nodeType.prototype.onExecuted = function(message) { + const r = onGetMaskSizeExecuted? onGetMaskSizeExecuted.apply(this,arguments): undefined + let values = message["text"].toString().split('x').map(Number); + this.outputs[1]["label"] = values[1] + " width" + this.outputs[2]["label"] = values[2] + " height" + this.outputs[3]["label"] = values[0] + " count" + return r + } + break; + + case "GetImageSizeAndCount": + const onGetImageSizeConnectInput = nodeType.prototype.onConnectInput; + nodeType.prototype.onConnectInput = function (targetSlot, type, output, originNode, originSlot) { + console.log(this) + const v = onGetImageSizeConnectInput? onGetImageSizeConnectInput.apply(this, arguments): undefined + //console.log(this) + this.outputs[1]["label"] = "width" + this.outputs[2]["label"] = "height" + this.outputs[3]["label"] = "count" + return v; + } + //const onGetImageSizeExecuted = nodeType.prototype.onExecuted; + const onGetImageSizeExecuted = nodeType.prototype.onAfterExecuteNode; + nodeType.prototype.onExecuted = function(message) { + console.log(this) + const r = onGetImageSizeExecuted? onGetImageSizeExecuted.apply(this,arguments): undefined + let values = message["text"].toString().split('x').map(Number); + console.log(values) + this.outputs[1]["label"] = values[1] + " width" + this.outputs[2]["label"] = values[2] + " height" + this.outputs[3]["label"] = values[0] + " count" + return r + } + break; + + case "PreviewAnimation": + const onPreviewAnimationConnectInput = nodeType.prototype.onConnectInput; + nodeType.prototype.onConnectInput = function (targetSlot, type, output, originNode, originSlot) { + const v = onPreviewAnimationConnectInput? onPreviewAnimationConnectInput.apply(this, arguments): undefined + this.title = "Preview Animation" + return v; + } + const onPreviewAnimationExecuted = nodeType.prototype.onAfterExecuteNode; + nodeType.prototype.onExecuted = function(message) { + const r = onPreviewAnimationExecuted? onPreviewAnimationExecuted.apply(this,arguments): undefined + let values = message["text"].toString(); + this.title = "Preview Animation " + values + return r + } + break; + + case "VRAM_Debug": + const onVRAM_DebugConnectInput = nodeType.prototype.onConnectInput; + nodeType.prototype.onConnectInput = function (targetSlot, type, output, originNode, originSlot) { + const v = onVRAM_DebugConnectInput? onVRAM_DebugConnectInput.apply(this, arguments): undefined + this.outputs[3]["label"] = "freemem_before" + this.outputs[4]["label"] = "freemem_after" + return v; + } + const onVRAM_DebugExecuted = nodeType.prototype.onAfterExecuteNode; + nodeType.prototype.onExecuted = function(message) { + const r = onVRAM_DebugExecuted? onVRAM_DebugExecuted.apply(this,arguments): undefined + let values = message["text"].toString().split('x'); + this.outputs[3]["label"] = values[0] + " freemem_before" + this.outputs[4]["label"] = values[1] + " freemem_after" + return r + } + break; + + case "JoinStringMulti": + const originalOnNodeCreated = nodeType.prototype.onNodeCreated || function() {}; + nodeType.prototype.onNodeCreated = function () { + originalOnNodeCreated.apply(this, arguments); + + this._type = "STRING"; + this.addWidget("button", "Update inputs", null, () => { + if (!this.inputs) { + this.inputs = []; + } + const target_number_of_inputs = this.widgets.find(w => w.name === "inputcount")["value"]; + const num_inputs = this.inputs.filter(input => input.name && input.name.toLowerCase().includes("string_")).length + if (target_number_of_inputs === num_inputs) return; // already set, do nothing + + if(target_number_of_inputs < num_inputs){ + const inputs_to_remove = num_inputs - target_number_of_inputs; + for(let i = 0; i < inputs_to_remove; i++) { + this.removeInput(this.inputs.length - 1); + } + } + else{ + for(let i = num_inputs+1; i <= target_number_of_inputs; ++i) + this.addInput(`string_${i}`, this._type) + } + }); + } + break; + case "SoundReactive": + nodeType.prototype.onNodeCreated = function () { + let audioContext; + let microphoneStream; + let animationFrameId; + let analyser; + let dataArray; + let startRangeHz; + let endRangeHz; + let smoothingFactor = 0.5; + let smoothedSoundLevel = 0; + + // Function to update the widget value in real-time + const updateWidgetValueInRealTime = () => { + // Ensure analyser and dataArray are defined before using them + if (analyser && dataArray) { + analyser.getByteFrequencyData(dataArray); + + const startRangeHzWidget = this.widgets.find(w => w.name === "start_range_hz"); + if (startRangeHzWidget) startRangeHz = startRangeHzWidget.value; + const endRangeHzWidget = this.widgets.find(w => w.name === "end_range_hz"); + if (endRangeHzWidget) endRangeHz = endRangeHzWidget.value; + const smoothingFactorWidget = this.widgets.find(w => w.name === "smoothing_factor"); + if (smoothingFactorWidget) smoothingFactor = smoothingFactorWidget.value; + + // Calculate frequency bin width (frequency resolution) + const frequencyBinWidth = audioContext.sampleRate / analyser.fftSize; + // Convert the widget values from Hz to indices + const startRangeIndex = Math.floor(startRangeHz / frequencyBinWidth); + const endRangeIndex = Math.floor(endRangeHz / frequencyBinWidth); + + // Function to calculate the average value for a frequency range + const calculateAverage = (start, end) => { + const sum = dataArray.slice(start, end).reduce((acc, val) => acc + val, 0); + const average = sum / (end - start); + + // Apply exponential moving average smoothing + smoothedSoundLevel = (average * (1 - smoothingFactor)) + (smoothedSoundLevel * smoothingFactor); + return smoothedSoundLevel; + }; + // Calculate the average levels for each frequency range + const soundLevel = calculateAverage(startRangeIndex, endRangeIndex); + + // Update the widget values + + const lowLevelWidget = this.widgets.find(w => w.name === "sound_level"); + if (lowLevelWidget) lowLevelWidget.value = soundLevel; + + animationFrameId = requestAnimationFrame(updateWidgetValueInRealTime); + } + }; + + // Function to start capturing audio from the microphone + const startMicrophoneCapture = () => { + // Only create the audio context and analyser once + if (!audioContext) { + audioContext = new (window.AudioContext || window.webkitAudioContext)(); + // Access the sample rate of the audio context + console.log(`Sample rate: ${audioContext.sampleRate}Hz`); + analyser = audioContext.createAnalyser(); + analyser.fftSize = 2048; + dataArray = new Uint8Array(analyser.frequencyBinCount); + // Get the range values from widgets (assumed to be in Hz) + const lowRangeWidget = this.widgets.find(w => w.name === "low_range_hz"); + if (lowRangeWidget) startRangeHz = lowRangeWidget.value; + + const midRangeWidget = this.widgets.find(w => w.name === "mid_range_hz"); + if (midRangeWidget) endRangeHz = midRangeWidget.value; + } + + navigator.mediaDevices.getUserMedia({ audio: true }).then(stream => { + microphoneStream = stream; + const microphone = audioContext.createMediaStreamSource(stream); + microphone.connect(analyser); + updateWidgetValueInRealTime(); + }).catch(error => { + console.error('Access to microphone was denied or an error occurred:', error); + }); + }; + + // Function to stop capturing audio from the microphone + const stopMicrophoneCapture = () => { + if (animationFrameId) { + cancelAnimationFrame(animationFrameId); + } + if (microphoneStream) { + microphoneStream.getTracks().forEach(track => track.stop()); + } + if (audioContext) { + audioContext.close(); + // Reset audioContext to ensure it can be created again when starting + audioContext = null; + } + }; + + // Add start button + this.addWidget("button", "Start mic capture", null, startMicrophoneCapture); + + // Add stop button + this.addWidget("button", "Stop mic capture", null, stopMicrophoneCapture); + }; + break; + case "SaveImageKJ": + const onNodeCreated = nodeType.prototype.onNodeCreated; + nodeType.prototype.onNodeCreated = function() { + const r = onNodeCreated ? onNodeCreated.apply(this, arguments) : void 0; + const widget = this.widgets.find((w) => w.name === "filename_prefix"); + widget.serializeValue = () => { + return applyTextReplacements(app, widget.value); + }; + return r; + }; + break; + + } + + }, + async setup() { + // to keep Set/Get node virtual connections visible when offscreen + const originalComputeVisibleNodes = LGraphCanvas.prototype.computeVisibleNodes; + LGraphCanvas.prototype.computeVisibleNodes = function () { + const visibleNodesSet = new Set(originalComputeVisibleNodes.apply(this, arguments)); + for (const node of this.graph._nodes) { + if ((node.type === "SetNode" || node.type === "GetNode") && node.drawConnection) { + visibleNodesSet.add(node); + } + } + return Array.from(visibleNodesSet); + }; + + } +}); \ No newline at end of file diff --git a/web/red.png b/web/red.png new file mode 100644 index 0000000000000000000000000000000000000000..4352c118b2c5fa6f33edc4d99a5e4d22649ff827 GIT binary patch literal 2334 zcmbtW`9IWa8~)B%vQxIg5kr*7kj9!p_84Rg!dS=BV6sJwgifJ_Y#rnn*=j;%-=!=u zmd27}!WlAX>`Np2J9^LOynn#^eD3SM?&rGhXZh`U60H#?yj)^j008isnHpYWveXec z*qJ#bGIEniFpPtlx22^5vjk2uVaf#PUj~E30JeV=4v_f2wE$BC{MFAKE#t%)8;2at ze+`O4O+T~XylLvl6uD0v0W>&qXOAiJhZ;GA8vFTU0G+VFP`^-rjF)aki7&-R=*gODx3J4*kjZXB0&plHGNZKp>2vK2UFy3iLPzHe+pBy`ixw| z8MS>Kv619JsF>%tK7(VivdRg!UUc%TBw*??TQ;6gKBaf!Wi zT0p(ibF0Ib+RwMUkUnL(w|DCF9Bl&uh+Gl;`-)O}UJI#SG|zuP@v_cDP{`wA5>Fww zKBvPVGB%e@mZP6_mJ%`F&%3icL#Q<{LL2YdTaq6MIj4`|_GRu_KR5_~khYmTu#)Sl zp;OtlB#os{MPjA`MLa7c>YY~iD?&YcTqExiq)P_Vo@METKfHSfN}5ye{3a-#aV%z? zQ%j~JaR~Q>rO(Nz%?>tly-TpNJrd1|ogRZnndSbUM<3{YEB}GL$*@YIx*?1yZxCa`H5@Y0CTlEBJ+F?}w!lV|){ow^r1_j2^4` zr=;GxL`}rPZFfr0LTTK?+mlV;gx49ZNy%2d{N@VWbXC(Q<9Wp~+qA_NHcUBHydd96 zej#7A6U&pWpuvI-tC}~-GD5S@O6EFd2DzrH!B6t?s~k#3-a-a&3iL`xOo6>&#;)J`iGDC+8fI_VK3Sv&z9%#s__}A*Z*!{c{5D4R9*bLCgM@a__&({twVPE zTuW$eoshBk%3N15C1h93_Ezy5TZSa|g1l-?0lRH{SPhvcg7r99oMY1n{JMDPT?kUJ zRvFju&31_me_6gcy#{#E#a~USHy@YT%`tLsDJUZdhpV}*#<;%nY{L6k(c zU@CmDl9>gKkD5wtgZqvx8UtCv0cqQx#)lpMsA9L-po251Y99p7c3*_AO8J$gTso1s&QoT#PV%6)m5(c)8z$+;dG?KDog+vToXqjJfYTT2-dPkU{LsrB zQ#X#H{@DnmRBlwGWR}CSx~ODSGn<}#O2DMGm~GO!Rs?I&ssLYImoz(&anIw{3wLmx*J5j+K@zLom!KMuco&3+V&&LxW^o!Q zoTVF>0J_RsX9;p>ERUMJkkoGZPE^rpY>^T83L?arp(%QjcfmZt#4RIMG|}GUn#Cu? zVbv(?Jlt(34mP!YwWCg(I;7Cy7ie(tl1t;{;xVdfteuPP2vmF$aSoi+!UzWsFqH$ zyMLbee#h7@cRPtc8Lcto*k5_RHe9a^H{qqZD&BThW-V>lVu+Qs%BqYFcG=AO%LqQ! zA*VlAKiVZqZ=i6rpHbVWzRf;AR^8gxn5E75=D%9_r4KMh60Lj>1}aD4$wRc|NbBEo*`Ky}Q~ODg1q1di15fyGUh)2}tVq zZN@fXuBCj>Z}{&F7ksKP&xJD40(m~#Z4>^_na%hggGIh)DcywH7#^hr@cRv8zRP#x zod;C9^)oW^D_DzQ@Ylxv4RiqwZxOwQZLE9`_TUC)v zZK7odY7H#<-e?)_Y5m=B z)x%_Eblc(j%TdkH6;6EF3-bL zb}CM>%m+M6#W>@}6y_5iy;;xPD{WmmAb+JqV0Ekw z(Z!(70To>aN6hmBC~hW%$R$-Jzv*7zY1e`hnZPy8;Xcq^=UeX|G^%k+eEa0{2-9@O z&_