{ "id": "6a4074a7-1ccb-44c9-9e88-30e2428371ad", "revision": 0, "last_node_id": 546, "last_link_id": 1119, "nodes": [ { "id": 330, "type": "Reroute", "pos": [ 1680, -600 ], "size": [ 75, 26 ], "flags": {}, "order": 28, "mode": 0, "inputs": [ { "name": "", "type": "*", "link": 626 } ], "outputs": [ { "name": "", "type": "VAE", "links": [ 628, 630 ] } ], "properties": { "showOutputText": false, "horizontal": false } }, { "id": 331, "type": "VAEDecodeTiled", "pos": [ 1830, -530 ], "size": [ 210, 150 ], "flags": { "collapsed": true }, "order": 71, "mode": 0, "inputs": [ { "name": "samples", "type": "LATENT", "link": 627 }, { "name": "vae", "type": "VAE", "link": 628 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "slot_index": 0, "links": [ 638 ] } ], "title": "VAE Decode", "properties": { "cnr_id": "comfy-core", "ver": "0.3.15", "Node name for S&R": "VAEDecodeTiled" }, "widgets_values": [ 1024, 64, 64, 8 ], "color": "#332922", "bgcolor": "#593930" }, { "id": 333, "type": "GetNode", "pos": [ 1830, -490 ], "size": [ 210, 34 ], "flags": { "collapsed": true }, "order": 0, "mode": 0, "inputs": [], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 639 ] } ], "title": "Get_overlay", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes" }, "widgets_values": [ "overlay" ], "color": "#2a363b", "bgcolor": "#3f5159" }, { "id": 334, "type": "GetNode", "pos": [ 1860, -450 ], "size": [ 210, 34 ], "flags": { "collapsed": true }, "order": 1, "mode": 0, "inputs": [], "outputs": [ { "name": "CROP_REGION", "type": "CROP_REGION", "links": [ 640 ] } ], "title": "Get_cr", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes" }, "widgets_values": [ "cr" ] }, { "id": 335, "type": "PrimitiveBoolean", "pos": [ -1120, -140 ], "size": [ 210, 58 ], "flags": { "collapsed": true }, "order": 2, "mode": 0, "inputs": [], "outputs": [ { "name": "BOOLEAN", "type": "BOOLEAN", "links": [ 840 ] } ], "title": "Don't touch", "properties": { "cnr_id": "comfy-core", "ver": "0.3.42", "Node name for S&R": "PrimitiveBoolean" }, "widgets_values": [ false ], "color": "#432", "bgcolor": "#653" }, { "id": 338, "type": "Switch conditioning [Crystools]", "pos": [ 240, -180 ], "size": [ 270, 78 ], "flags": { "collapsed": true }, "order": 58, "mode": 0, "inputs": [ { "name": "on_true", "type": "CONDITIONING", "link": 632 }, { "name": "on_false", "type": "CONDITIONING", "link": 1093 }, { "name": "boolean", "type": "BOOLEAN", "widget": { "name": "boolean" }, "link": 634 } ], "outputs": [ { "name": "conditioning", "type": "CONDITIONING", "links": [ 653 ] } ], "properties": { "cnr_id": "comfyui-crystools", "ver": "1.26.6", "Node name for S&R": "Switch conditioning [Crystools]" }, "widgets_values": [ true ] }, { "id": 340, "type": "GetNode", "pos": [ -320, 890 ], "size": [ 210, 34 ], "flags": { "collapsed": true }, "order": 3, "mode": 0, "inputs": [], "outputs": [ { "name": "*", "type": "*", "links": [ 671 ] } ], "title": "Get_ppres", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes" }, "widgets_values": [ "ppres" ] }, { "id": 342, "type": "Reroute", "pos": [ 40, -210 ], "size": [ 75, 26 ], "flags": {}, "order": 29, "mode": 0, "inputs": [ { "name": "", "type": "*", "widget": { "name": "value" }, "link": 636 } ], "outputs": [ { "name": "", "type": "BOOLEAN", "links": [ 634 ] } ], "properties": { "showOutputText": false, "horizontal": false } }, { "id": 343, "type": "ColorToMask", "pos": [ -1450, -280 ], "size": [ 270, 178 ], "flags": { "collapsed": true }, "order": 55, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 637 } ], "outputs": [ { "name": "MASK", "type": "MASK", "links": [ 687, 691 ] } ], "properties": { "cnr_id": "comfyui-kjnodes", "ver": "1.1.2", "Node name for S&R": "ColorToMask" }, "widgets_values": [ false, 255, 255, 255, 255, 1 ] }, { "id": 344, "type": "OverlayInpaintedImage", "pos": [ 1990, -530 ], "size": [ 192.43026733398438, 66 ], "flags": { "collapsed": true }, "order": 73, "mode": 0, "inputs": [ { "name": "inpainted", "type": "IMAGE", "link": 638 }, { "name": "overlay_image", "type": "IMAGE", "link": 639 }, { "name": "crop_region", "type": "CROP_REGION", "link": 640 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 641 ] } ], "title": "Overlay Inpainted", "properties": { "cnr_id": "comfyui-art-venture", "ver": "1.0.7", "Node name for S&R": "OverlayInpaintedImage", "aux_id": "m0rtus59/comfyui-art-venture" }, "widgets_values": [] }, { "id": 345, "type": "GetNode", "pos": [ 2020, -490 ], "size": [ 210, 34 ], "flags": { "collapsed": true }, "order": 4, "mode": 0, "inputs": [], "outputs": [ { "name": "BOOLEAN", "type": "BOOLEAN", "links": [ 643 ] } ], "title": "Get_inpaint", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes" }, "widgets_values": [ "inpaint" ] }, { "id": 346, "type": "Switch image [Crystools]", "pos": [ 2170, -570 ], "size": [ 270, 78 ], "flags": { "collapsed": true }, "order": 85, "mode": 0, "inputs": [ { "name": "on_true", "type": "IMAGE", "link": 641 }, { "name": "on_false", "type": "IMAGE", "link": 642 }, { "name": "boolean", "type": "BOOLEAN", "widget": { "name": "boolean" }, "link": 643 } ], "outputs": [ { "name": "image", "type": "IMAGE", "links": [ 674 ] } ], "properties": { "cnr_id": "comfyui-crystools", "ver": "1.27.3", "Node name for S&R": "Switch image [Crystools]" }, "widgets_values": [ true ] }, { "id": 349, "type": "LoadImage", "pos": [ -290, 310 ], "size": [ 390, 460 ], "flags": {}, "order": 5, "mode": 0, "inputs": [], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 650 ] }, { "name": "MASK", "type": "MASK", "links": [ 651 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.44", "Node name for S&R": "LoadImage", "image": "clipspace/clipspace-painted-masked-1769447466101.png [input]" }, "widgets_values": [ "clipspace/clipspace-painted-masked-77015504.png [input]", "image" ] }, { "id": 351, "type": "InpaintModelConditioning", "pos": [ 760, 230 ], "size": [ 210, 138 ], "flags": { "collapsed": true }, "order": 66, "mode": 0, "inputs": [ { "name": "positive", "type": "CONDITIONING", "link": 645 }, { "name": "negative", "type": "CONDITIONING", "link": 646 }, { "name": "vae", "type": "VAE", "link": 647 }, { "name": "pixels", "type": "IMAGE", "link": 648 }, { "name": "mask", "type": "MASK", "link": 649 } ], "outputs": [ { "name": "positive", "type": "CONDITIONING", "links": [ 676 ] }, { "name": "negative", "type": "CONDITIONING", "links": [ 677 ] }, { "name": "latent", "type": "LATENT", "links": [ 678 ] } ], "title": "Inpaint", "properties": { "cnr_id": "comfy-core", "ver": "0.3.40", "Node name for S&R": "InpaintModelConditioning" }, "widgets_values": [ true ], "color": "#432", "bgcolor": "#653" }, { "id": 357, "type": "PrimitiveStringMultiline", "pos": [ -1530, -80 ], "size": [ 440, 160 ], "flags": { "collapsed": true }, "order": 6, "mode": 0, "inputs": [], "outputs": [ { "name": "STRING", "type": "STRING", "links": [ 695 ] } ], "title": "Code", "properties": { "cnr_id": "comfy-core", "ver": "0.3.48", "Node name for S&R": "PrimitiveStringMultiline" }, "widgets_values": [ "import os\nfrom PIL import Image\nimport torchvision.transforms as T\nimport torch\n\n# --- Paths ---\ntemp_dir = os.path.join('.', 'ComfyUI', 'temp')\nos.makedirs(temp_dir, exist_ok=True)\nsave_path = os.path.join(temp_dir, 'imagebuffer.png') # persistent buffer\n\n# --- Extract input tensor ---\ntensor = image1.tensor if hasattr(image1, 'tensor') else image1.image if hasattr(image1, 'image') else image1.data\n\n# Take first frame and first 3 channels, permute to [C,H,W]\ntensor = tensor[0, :, :, :3].permute(2, 0, 1)\n\n# Normalize if needed\nif tensor.max() > 1.0:\n tensor = tensor / 255.0\n\n# Convert to PIL and tensor for comparison\nimg_pil = T.ToPILImage()(tensor)\ncurr_tensor = T.ToTensor()(img_pil) # [C,H,W]\n\n# --- Compare with saved image ---\nif os.path.exists(save_path):\n prev_img = Image.open(save_path).convert(\"RGB\")\n prev_tensor = T.ToTensor()(prev_img)\n\n # Resize if dimensions differ\n if prev_tensor.shape != curr_tensor.shape:\n prev_tensor = torch.nn.functional.interpolate(prev_tensor.unsqueeze(0), size=curr_tensor.shape[1:], mode='bilinear', align_corners=False).squeeze(0)\n\n # Compute MSE\n mse = torch.mean((curr_tensor - prev_tensor) ** 2).item()\nelse:\n mse = 1.0 # force \"never\" on first run\n\n# --- Decide output with tolerance ---\nthreshold = 1e-3 # adjust tolerance: higher = more tolerant\nif mse < threshold:\n text1.data = \"always\"\nelse:\n text1.data = \"never\"\n\n# --- Save current image to buffer ---\nimg_pil.save(save_path)\n" ] }, { "id": 358, "type": "ImageResizeKJv2", "pos": [ -1630, -280 ], "size": [ 270, 360 ], "flags": { "collapsed": true }, "order": 46, "mode": 0, "inputs": [ { "name": "image", "type": "IMAGE", "link": 660 }, { "name": "mask", "shape": 7, "type": "MASK", "link": null }, { "name": "width", "type": "INT", "widget": { "name": "width" }, "link": 661 }, { "name": "height", "type": "INT", "widget": { "name": "height" }, "link": 662 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 637 ] }, { "name": "width", "type": "INT", "links": null }, { "name": "height", "type": "INT", "links": null }, { "name": "mask", "type": "MASK", "links": null } ], "properties": { "cnr_id": "comfyui-kjnodes", "ver": "1.1.3", "Node name for S&R": "ImageResizeKJv2" }, "widgets_values": [ 512, 512, "nearest-exact", "resize", "0, 0, 0", "center", 2, "cpu" ] }, { "id": 359, "type": "Exec Python Code Script", "pos": [ -2020, -280 ], "size": [ 290, 790 ], "flags": { "collapsed": true }, "order": 30, "mode": 0, "inputs": [ { "name": "image1", "shape": 7, "type": "IMAGE", "link": 1082 }, { "name": "image2", "shape": 7, "type": "IMAGE", "link": null }, { "name": "mask1", "shape": 7, "type": "MASK", "link": null }, { "name": "mask2", "shape": 7, "type": "MASK", "link": null }, { "name": "list1", "shape": 7, "type": "*", "link": null }, { "name": "dict1", "shape": 7, "type": "*", "link": null }, { "name": "any1", "shape": 7, "type": "*", "link": null }, { "name": "any2", "shape": 7, "type": "*", "link": null }, { "name": "any3", "shape": 7, "type": "*", "link": null }, { "name": "any4", "shape": 7, "type": "*", "link": null }, { "name": "raw_code", "type": "STRING", "widget": { "name": "raw_code" }, "link": 664 } ], "outputs": [ { "name": "image1", "type": "*", "links": null }, { "name": "image2", "type": "*", "links": null }, { "name": "mask1", "type": "*", "links": null }, { "name": "mask2", "type": "*", "links": null }, { "name": "number1", "type": "*", "links": [ 661 ] }, { "name": "number2", "type": "*", "links": [ 662 ] }, { "name": "text1", "type": "*", "links": [ 665, 697 ] }, { "name": "text2", "type": "*", "links": null }, { "name": "list1", "type": "*", "links": null }, { "name": "dict1", "type": "*", "links": null }, { "name": "any1", "type": "*", "links": null }, { "name": "any2", "type": "*", "links": null }, { "name": "any3", "type": "*", "links": null }, { "name": "any4", "type": "*", "links": null } ], "properties": { "cnr_id": "python-interpreter-node", "ver": "2.1.0", "Node name for S&R": "Exec Python Code Script" }, "widgets_values": [ "", 0, 0, "hello", "world", true, "" ] }, { "id": 360, "type": "SetNode", "pos": [ -1830, -310 ], "size": [ 210, 34 ], "flags": { "collapsed": true }, "order": 39, "mode": 0, "inputs": [ { "name": "*", "type": "*", "link": 665 } ], "outputs": [ { "name": "*", "type": "*", "links": [] } ], "title": "Set_ppres", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "" }, "widgets_values": [ "ppres" ] }, { "id": 364, "type": "CLIPTextEncode", "pos": [ 40, -220 ], "size": [ 400, 200 ], "flags": { "collapsed": true }, "order": 52, "mode": 0, "inputs": [ { "name": "clip", "type": "CLIP", "link": 672 }, { "name": "text", "type": "STRING", "widget": { "name": "text" }, "link": 673 } ], "outputs": [ { "name": "CONDITIONING", "type": "CONDITIONING", "links": [ 632 ] } ], "title": "Positive", "properties": { "cnr_id": "comfy-core", "ver": "0.12.2", "Node name for S&R": "CLIPTextEncode" }, "widgets_values": [ "worst quality, bad quality, grainy, noisy, render, filmgrain, watermark\n\n(source_anime, source_cartoon, panels,score_1, daz_studio, blender, source_filmmaker, 3d, sfm:1.6)" ] }, { "id": 372, "type": "PrimitiveStringMultiline", "pos": [ -2170, -280 ], "size": [ 510, 200 ], "flags": { "collapsed": true }, "order": 7, "mode": 0, "inputs": [], "outputs": [ { "name": "STRING", "type": "STRING", "links": [ 664 ] } ], "title": "Code", "properties": { "cnr_id": "comfy-core", "ver": "0.3.50", "Node name for S&R": "PrimitiveStringMultiline" }, "widgets_values": [ "# Extract image tensor, assuming it's a batched Torch tensor\nimg = image1.data[0] # remove batch dimension\n\n# Get shape: height and width\nheight, width = img.shape[:2]\n\n# Pick smaller side\nsmaller = min(height, width)\n\n# Bucket to nearest multiple of 64\nsmaller = round(smaller / 64) * 64\n\n# Set outputs\nnumber1.to(int(width))\nnumber2.to(int(height))\ntext1.to(int(smaller))\n\n# For debugging\nprint(f\"Fixed image shape: {img.shape}\")\nprint(f\"Width: {width}, Height: {height}\")\nprint(f\"Smaller side (bucketed to 64): {smaller}\")\n" ] }, { "id": 373, "type": "GetNode", "pos": [ 510, 230 ], "size": [ 210, 34 ], "flags": { "collapsed": true }, "order": 8, "mode": 0, "inputs": [], "outputs": [ { "name": "VAE", "type": "VAE", "links": [ 647 ] } ], "title": "Get_vae", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes" }, "widgets_values": [ "vae" ], "color": "#322", "bgcolor": "#533" }, { "id": 374, "type": "SetNode", "pos": [ 620, 340 ], "size": [ 210, 34 ], "flags": { "collapsed": true }, "order": 49, "mode": 0, "inputs": [ { "name": "CROP_REGION", "type": "CROP_REGION", "link": 684 } ], "outputs": [ { "name": "*", "type": "*", "links": null } ], "title": "Set_cr", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "" }, "widgets_values": [ "cr" ] }, { "id": 375, "type": "SetNode", "pos": [ 200, 630 ], "size": [ 210, 34 ], "flags": { "collapsed": true }, "order": 36, "mode": 0, "inputs": [ { "name": "BOOLEAN", "type": "BOOLEAN", "link": 685 } ], "outputs": [ { "name": "*", "type": "*", "links": null } ], "title": "Set_inpaint", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "" }, "widgets_values": [ "inpaint" ] }, { "id": 377, "type": "SetNode", "pos": [ 620, 300 ], "size": [ 210, 34 ], "flags": { "collapsed": true }, "order": 48, "mode": 0, "inputs": [ { "name": "IMAGE", "type": "IMAGE", "link": 686 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 834 ] } ], "title": "Set_overlay", "properties": { "Node name for S&R": "SetNode", "aux_id": "kijai/ComfyUI-KJNodes", "previousName": "" }, "widgets_values": [ "overlay" ], "color": "#2a363b", "bgcolor": "#3f5159" }, { "id": 379, "type": "MaskComposite", "pos": [ -1280, -280 ], "size": [ 270, 126 ], "flags": { "collapsed": true }, "order": 59, "mode": 0, "inputs": [ { "name": "destination", "type": "MASK", "link": 687 }, { "name": "source", "type": "MASK", "link": 688 } ], "outputs": [ { "name": "MASK", "type": "MASK", "links": [ 680 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.76", "Node name for S&R": "MaskComposite" }, "widgets_values": [ 0, 0, "add" ] }, { "id": 381, "type": "ImageAndMaskPreview", "pos": [ -1270, -210 ], "size": [ 270, 126 ], "flags": { "collapsed": true }, "order": 60, "mode": 0, "inputs": [ { "name": "image", "shape": 7, "type": "IMAGE", "link": 1084 }, { "name": "mask", "shape": 7, "type": "MASK", "link": 691 } ], "outputs": [ { "name": "composite", "type": "IMAGE", "links": [ 839 ] } ], "title": "Preview", "properties": { "cnr_id": "comfyui-kjnodes", "ver": "1.1.2", "Node name for S&R": "ImageAndMaskPreview" }, "widgets_values": [ 0.8000000000000002, "255, 0, 255", true ] }, { "id": 382, "type": "SegmDetectorCombined_v2", "pos": [ -2000, -180 ], "size": [ 271.8443359375, 102 ], "flags": { "collapsed": true }, "order": 31, "mode": 0, "inputs": [ { "name": "segm_detector", "type": "SEGM_DETECTOR", "link": 692 }, { "name": "image", "type": "IMAGE", "link": 1085 } ], "outputs": [ { "name": "MASK", "type": "MASK", "links": [ 689 ] } ], "properties": { "cnr_id": "comfyui-impact-pack", "ver": "8.28.1", "Node name for S&R": "SegmDetectorCombined_v2" }, "widgets_values": [ 0.6, 10 ] }, { "id": 383, "type": "Exec Python Code Script", "pos": [ -1990, -120 ], "size": [ 290, 790 ], "flags": { "collapsed": true }, "order": 32, "mode": 0, "inputs": [ { "name": "image1", "shape": 7, "type": "IMAGE", "link": 1086 }, { "name": "image2", "shape": 7, "type": "IMAGE", "link": null }, { "name": "mask1", "shape": 7, "type": "MASK", "link": null }, { "name": "mask2", "shape": 7, "type": "MASK", "link": null }, { "name": "list1", "shape": 7, "type": "*", "link": null }, { "name": "dict1", "shape": 7, "type": "*", "link": null }, { "name": "any1", "shape": 7, "type": "*", "link": null }, { "name": "any2", "shape": 7, "type": "*", "link": null }, { "name": "any3", "shape": 7, "type": "*", "link": null }, { "name": "any4", "shape": 7, "type": "*", "link": null }, { "name": "raw_code", "type": "STRING", "widget": { "name": "raw_code" }, "link": 695 } ], "outputs": [ { "name": "image1", "type": "*", "links": [] }, { "name": "image2", "type": "*", "links": null }, { "name": "mask1", "type": "*", "links": null }, { "name": "mask2", "type": "*", "links": null }, { "name": "number1", "type": "*", "links": [] }, { "name": "number2", "type": "*", "links": [] }, { "name": "text1", "type": "*", "links": [ 837, 841 ] }, { "name": "text2", "type": "*", "links": null }, { "name": "list1", "type": "*", "links": null }, { "name": "dict1", "type": "*", "links": null }, { "name": "any1", "type": "*", "links": null }, { "name": "any2", "type": "*", "links": null }, { "name": "any3", "type": "*", "links": null }, { "name": "any4", "type": "*", "links": null } ], "title": "Check update", "properties": { "cnr_id": "python-interpreter-node", "ver": "2.1.0", "Node name for S&R": "Exec Python Code Script" }, "widgets_values": [ "import numpy as np # Extract image tensor, assuming it's a batched Torch tensor img = image1.data[0] # remove batch dimension # Get shape: height and width height, width = img.shape[:2] # Pick smaller side smaller = min(height, width) # Set output text1.to(str(smaller)) # For debugging print(f\"Fixed image shape: {img.shape}\") print(f\"Smaller side: {smaller}\")", 0, 0, "hello", "world", true ] }, { "id": 384, "type": "UltralyticsDetectorProvider", "pos": [ -2270, -180 ], "size": [ 390, 78 ], "flags": { "collapsed": true }, "order": 9, "mode": 0, "inputs": [], "outputs": [ { "name": "BBOX_DETECTOR", "type": "BBOX_DETECTOR", "links": null }, { 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