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298 ], "title": "String Function", "type": "StringFunction|pysssss", "widgets_values": [ "append", "yes", "", "", "", "masterpiece, best quality, amazing quality, absurdres, 8k, solo by zaush, (by kenket:1.2), by braeburned, realistic, halfanthro, anthro, female, snow leopard, grey fur, rosettes, long hair, messy hair, grey hair, blue eyes, smug, looking at viewer, sitting on bed, legs spread, lifting shirt, breasts, large breasts, nipples, pulling down boxers, boxers around thighs, penis, tapering penis, large penis, balls, pre-ejaculate, messy bed, bedroom, morning light, sunbeams" ] }, { "bgcolor": "#3f5159", "color": "#2a363b", "flags": { "collapsed": true }, "id": 1011, "inputs": [], "mode": 0, "order": 4, "outputs": [ { "links": [ 2646 ], "name": "IMAGE", "type": "IMAGE" } ], "pos": [ 1400, 1580 ], "properties": {}, "size": [ 210, 50 ], "title": "Get_image1", "type": "GetNode", "widgets_values": [ "image1" ] }, { "flags": { "collapsed": true }, "id": 1241, "inputs": [ { "link": 2772, "name": "pixels", "type": "IMAGE" }, { "link": 2663, "name": "vae", "type": "VAE" } ], "mode": 0, "order": 97, "outputs": [ { "links": [ 2662 ], "name": "LATENT", "type": "LATENT" } ], "pos": [ -670, -50 ], "properties": { "Node name for S&R": "VAEEncode", "cnr_id": "comfy-core", "ver": "0.3.59" }, "size": [ 140, 46 ], "type": "VAEEncode", "widgets_values": [] }, { "bgcolor": "#533", "color": "#322", "flags": { "collapsed": true }, "id": 1239, "inputs": [], "mode": 0, "order": 5, "outputs": [ { "links": [ 2659, 2663 ], "name": "VAE", "type": "VAE" } ], "pos": [ -1160, -50 ], "properties": {}, "size": [ 210, 50.00000762939453 ], "title": "Get_VAE", "type": "GetNode", "widgets_values": [ "VAE" ] }, { "bgcolor": "#535", "color": "#323", "flags": { "collapsed": true }, "id": 978, "inputs": [], "mode": 0, "order": 6, "outputs": [ { "links": [ 2658 ], "name": "LATENT", "type": "LATENT" } ], "pos": [ -1180, -10 ], "properties": {}, "size": [ 210, 60 ], "title": "Get_latent_0", "type": "GetNode", "widgets_values": [ "latent_0" ] }, { "bgcolor": "#3f5159", "color": "#2a363b", "flags": { "collapsed": true }, "id": 1042, "inputs": [], "mode": 0, "order": 7, "outputs": [ { "links": [ 3008 ], "name": "IMAGE", "type": "IMAGE" } ], "pos": [ 830, 1040 ], "properties": {}, "size": [ 210, 34 ], "title": "Get_image1", "type": "GetNode", "widgets_values": [ "image1" ] }, { "flags": { "collapsed": true }, "id": 1173, "inputs": [ { "link": 2464, "name": "on_true", "type": "CONDITIONING" }, { "link": 2465, "name": "on_false", "type": "CONDITIONING" }, { "link": 2463, "name": "boolean", "type": "BOOLEAN", "widget": { "name": "boolean" } } ], "mode": 0, "order": 165, "outputs": [ { "links": [ 2462 ], "name": "conditioning", "type": "CONDITIONING" } ], "pos": [ 2200, 580 ], "properties": { "Node name for S&R": "Switch conditioning [Crystools]", "cnr_id": "comfyui-crystools", "ver": "1.26.6" }, "size": [ 270, 78 ], "type": "Switch conditioning [Crystools]", "widgets_values": [ true ] }, { "bgcolor": "#653", "color": "#432", "flags": {}, "id": 916, "inputs": [], "mode": 0, "order": 8, "outputs": [ { "links": [ 2463 ], "name": "BOOLEAN", "type": "BOOLEAN" } ], "pos": [ 1680, 750 ], "properties": { "Node name for S&R": "PrimitiveBoolean", "cnr_id": "comfy-core", "ver": "0.3.43" }, "size": [ 210, 58 ], "title": "Replace prompt", "type": "PrimitiveBoolean", "widgets_values": [ true ] }, { "bgcolor": "#653", "color": "#432", "flags": { "collapsed": false }, "id": 199, "inputs": [ { "link": 2742, "name": "clip", "type": "CLIP" } ], "mode": 0, "order": 72, "outputs": [ { "links": [ 2680 ], "name": "CLIP", "slot_index": 0, "type": "CLIP" } ], "pos": [ -310, 450 ], "properties": { "Node name for S&R": "CLIPSetLastLayer", "cnr_id": "comfy-core", "ver": "0.3.15" }, "size": [ 210, 58 ], "type": "CLIPSetLastLayer", "widgets_values": [ -2 ] }, { "bgcolor": "#593930", "color": "#332922", "flags": { "collapsed": true }, "id": 499, "inputs": [ { "link": 988, "name": "samples", "type": "LATENT" }, { "link": 1431, "name": "vae", "type": "VAE" } ], "mode": 0, "order": 78, "outputs": [ { "links": [ 972 ], "name": "IMAGE", "slot_index": 0, "type": "IMAGE" } ], "pos": [ 2480, 510 ], "properties": { "Node name for S&R": "VAEDecodeTiled", "cnr_id": "comfy-core", "ver": "0.3.15" }, "size": [ 210, 150 ], "title": "VAE Decode", "type": "VAEDecodeTiled", "widgets_values": [ 1024, 64, 64, 8 ] }, { "bgcolor": "#535", "color": "#323", "flags": { "collapsed": true }, "id": 510, "inputs": [], "mode": 0, "order": 9, "outputs": [ { "links": [ 988 ], "name": "LATENT", "type": "LATENT" } ], "pos": [ 2300, 510 ], "properties": {}, "size": [ 210, 60 ], "title": "Get_InpaintLatent", "type": "GetNode", "widgets_values": [ "InpaintLatent" ] }, { "bgcolor": "#3f5159", "color": "#2a363b", "flags": { "collapsed": false }, "id": 930, "inputs": [ { "link": 2651, "name": "image", "type": "IMAGE" }, { "link": 1957, "name": "resolution", "shape": 7, "type": "INT", "widget": { "name": "resolution" } } ], "mode": 0, "order": 116, "outputs": [ { "links": [ 1946 ], "name": "IMAGE", "type": "IMAGE" } ], "pos": [ 650, 60 ], "properties": { "Node name for S&R": "AIO_Preprocessor", "cnr_id": "comfyui_controlnet_aux", "ver": "1.0.7" }, "size": [ 320, 82 ], "type": "AIO_Preprocessor", "widgets_values": [ "Manga2Anime_LineArt_Preprocessor", 1344 ] }, { "bgcolor": "#653", "color": "#432", "flags": { "collapsed": true }, "id": 1245, "inputs": [], "mode": 0, "order": 10, "outputs": [], "pos": [ -1890, -770 ], "properties": {}, "size": [ 400, 170 ], "type": "Note", "widgets_values": [ "explicit, size difference, duo, massive muscular anthro tiger male and a small anthro lynx male, in a steamy shower stall, water spraying down their bodies, the tiger is standing with a smug grin, one hand braced against the tiled wall, the lynx is on his knees, eagerly performing fellatio, deepthroating the tiger's huge, erect humanoid penis, tiger's hand on the back of the lynx's head, guiding him, the lynx's eyes are wide with adoration and effort, wet fur, glistening bodies, steam, low angle shot, deep throat, tears" ] }, { "flags": { "collapsed": true }, "id": 1175, "inputs": [], "mode": 0, "order": 11, "outputs": [ { "links": [ 2666 ], "name": "STRING", "type": "STRING" } ], "pos": [ 260, 270 ], "properties": { "Node name for S&R": "PrimitiveStringMultiline", "cnr_id": "comfy-core", "ver": "0.3.48" }, "size": [ 440, 160 ], "title": "Code", "type": "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 output\nnumber1.to(int(smaller))\n\n# For debugging\nprint(f\"Fixed image shape: {img.shape}\")\nprint(f\"Smaller side (bucketed to 64): {smaller}\")\n" ] }, { "bgcolor": "#3f5159", "color": "#2a363b", "flags": { "collapsed": true }, "id": 410, "inputs": [], "mode": 0, "order": 12, "outputs": [ { "links": [ 3007 ], "name": "IMAGE", "type": "IMAGE" } ], "pos": [ -870, -1260 ], "properties": {}, "size": [ 210, 60 ], "title": "Get_image1", "type": "GetNode", "widgets_values": [ "image1" ] }, { "flags": { "collapsed": true }, "id": 1238, "inputs": [ { "link": 2658, "name": "samples", "type": "LATENT" }, { "link": 2659, "name": "vae", "type": "VAE" } ], "mode": 0, "order": 67, "outputs": [ { "links": [ 2771 ], "name": "IMAGE", "type": "IMAGE" } ], "pos": [ -1020, -20 ], "properties": { "Node name for S&R": "VAEDecode", "cnr_id": "comfy-core", "ver": "0.3.59" }, "size": [ 140, 46 ], "type": "VAEDecode", "widgets_values": [] }, { "flags": { "collapsed": true }, "id": 1288, "inputs": [ { "link": 2771, "name": "image1", "shape": 7, "type": "IMAGE" }, { "link": null, "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": 2770, "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": 2768, "name": "raw_code", "type": "STRING", "widget": { "name": "raw_code" } } ], "mode": 0, "order": 90, "outputs": [ { "links": [ 2772 ], "name": "image1", "type": "*" }, { "links": null, "name": "image2", "type": "*" }, { "links": null, "name": "mask1", "type": "*" }, { "links": null, "name": "mask2", "type": "*" }, { "links": [], "name": "number1", "type": "*" }, { "links": [], "name": "number2", "type": "*" }, { "links": [], "name": "text1", "type": "*" }, { "links": null, "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": "*" } ], "pos": [ -860, -20 ], "properties": { "Node name for S&R": "Exec Python Code Script", "cnr_id": "python-interpreter-node", "ver": "2.1.0" }, "size": [ 290, 790 ], "title": "Upscale to a bucket", "type": "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, "" ] }, { "flags": { "collapsed": true }, "id": 1289, "inputs": [], "mode": 0, "order": 13, "outputs": [ { "links": [ 2768 ], "name": "STRING", "type": "STRING" } ], "pos": [ -980, 20 ], "properties": { "Node name for S&R": "PrimitiveStringMultiline", "cnr_id": "comfy-core", "ver": "0.3.48" }, "size": [ 440, 160 ], "title": "Code", "type": "PrimitiveStringMultiline", "widgets_values": [ "import torch\nimport torch.nn.functional as F\n\nimg = image1.data # [B,H,W,C] NHWC\nscale = float(any1.data)\n\n# Convert to float if needed\nif not torch.is_floating_point(img):\n img = img.float() / 255.0\n\nB, H, W, C = img.shape\n\n# Determine smaller side\nif H < W:\n smaller, larger = H, W\n smaller_is_height = True\nelse:\n smaller, larger = W, H\n smaller_is_height = False\n\n# Scale smaller side and bucket to nearest multiple of 64\nsmaller_scaled = smaller * scale\nsmaller_bucket = max(64, round(smaller_scaled / 64) * 64)\n\n# Compute larger side to preserve aspect ratio\nlarger_scaled = larger * (smaller_bucket / smaller)\n# Bucket larger side to nearest multiple of 64\nlarger_bucket = max(64, round(larger_scaled / 64) * 64)\n\n# Assign final H and W preserving aspect ratio\nif smaller_is_height:\n new_H, new_W = smaller_bucket, larger_bucket\nelse:\n new_W, new_H = smaller_bucket, larger_bucket\n\n# Resize with interpolate\nupscaled = F.interpolate(img.permute(0,3,1,2), size=(new_H,new_W), mode='bilinear', align_corners=False)\nupscaled = upscaled.permute(0,2,3,1)\n\n# Output\nimage1.to(upscaled)\n" ] }, { "flags": {}, "id": 1291, "inputs": [], "mode": 0, "order": 14, "outputs": [ { "links": [ 2770 ], "name": "FLOAT", "type": "FLOAT" } ], "pos": [ -1100, 60 ], "properties": { "Node name for S&R": "PrimitiveFloat", "cnr_id": "comfy-core", "ver": "0.3.68" }, "size": [ 210, 58 ], "title": "Upscale by", "type": "PrimitiveFloat", "widgets_values": [ 1.5 ] }, { "bgcolor": "#653", "color": "#432", "flags": { "collapsed": true }, "id": 1299, "inputs": [], "mode": 0, "order": 15, "outputs": [ { "links": [ 2997 ], "name": "BOOLEAN", "type": "BOOLEAN" } ], "pos": [ 970, -640 ], "properties": { "Node name for S&R": "PrimitiveBoolean", "cnr_id": "comfy-core", "ver": "0.3.44" }, "size": [ 210, 58 ], "title": "Don't touch", "type": "PrimitiveBoolean", "widgets_values": [ false ] }, { "bgcolor": "#335", "color": "#223", "flags": {}, "id": 1269, "inputs": [], "mode": 2, "order": 16, "outputs": [ { "links": [ 2729 ], "name": "MODEL", "slot_index": 0, "type": "MODEL" }, { "links": [ 2727 ], "name": "CLIP", "slot_index": 1, "type": "CLIP" }, { "links": [], "name": "VAE", "slot_index": 2, "type": "VAE" } ], "pos": [ -1560, -1780 ], "properties": { "Node name for S&R": "CheckpointLoaderSimple", "cnr_id": "comfy-core", "ver": "0.3.67" }, "size": [ 420, 98 ], "type": "CheckpointLoaderSimple", "widgets_values": [ "ILL\\chromaxlMix_v4Sorbet.safetensors" ] }, { "bgcolor": "#335", "color": "#223", "flags": {}, "id": 1267, "inputs": [], "mode": 2, "order": 17, "outputs": [ { "links": [ 2730 ], "name": "MODEL", "slot_index": 0, "type": "MODEL" }, { "links": [ 2728 ], "name": "CLIP", "slot_index": 1, "type": "CLIP" }, { "links": [], "name": "VAE", "slot_index": 2, "type": "VAE" } ], "pos": [ -1560, -1640 ], "properties": { "Node name for S&R": "CheckpointLoaderSimple", "cnr_id": "comfy-core", "ver": "0.3.67" }, "size": [ 430, 98 ], "type": "CheckpointLoaderSimple", "widgets_values": [ "ILL\\novaFurryXL_illustriousV30.safetensors" ] }, { "bgcolor": "#653", "color": "#432", "flags": {}, "id": 1268, "inputs": [ { "link": 2727, "name": "clip1", "type": "CLIP" }, { "link": 2728, "name": "clip2", "type": "CLIP" } ], "mode": 2, "order": 71, "outputs": [ { "links": [], "name": "CLIP", "slot_index": 0, "type": "CLIP" } ], "pos": [ -1100, -1640 ], "properties": { "Node name for S&R": "CLIPMergeSimple", "cnr_id": "comfy-core", "ver": "0.3.67" }, "size": [ 210, 78 ], "type": "CLIPMergeSimple", "widgets_values": [ 0.2 ] }, { "flags": { "collapsed": true }, "id": 559, "inputs": [ { "link": 2649, "name": "image1", "shape": 7, "type": "IMAGE" }, { "link": null, "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": 2666, "name": "raw_code", "type": "STRING", "widget": { "name": "raw_code" } } ], "mode": 0, "order": 101, "outputs": [ { "links": null, "name": "image1", "type": "*" }, { "links": null, "name": "image2", "type": "*" }, { "links": null, "name": "mask1", "type": "*" }, { "links": null, "name": "mask2", "type": "*" }, { "links": [ 1089, 1090, 1957 ], "name": "number1", "type": "*" }, { "links": [], "name": "number2", "type": "*" }, { "links": [], "name": "text1", "type": "*" }, { "links": null, "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": "*" } ], "pos": [ 410, 270 ], "properties": { "Node name for S&R": "Exec Python Code Script", "cnr_id": "python-interpreter-node", "ver": "2.1.0" }, "size": [ 290, 790 ], "type": "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, "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}\")", "Output:\nFixed image shape: torch.Size([1856, 1280, 3])\nSmaller side (bucketed to 64): 1280\n" ] }, { "flags": { "collapsed": true }, "id": 497, "inputs": [ { "link": 972, "name": "inpainted", "type": "IMAGE" }, { "link": 1423, "name": "overlay_image", "type": "IMAGE" }, { "link": 1424, "name": "crop_region", "type": "CROP_REGION" } ], "mode": 0, "order": 95, "outputs": [ { "links": [ 2588 ], "name": "IMAGE", "type": "IMAGE" } ], "pos": [ 2670, 510 ], "properties": { "Node name for S&R": "OverlayInpaintedImage", "aux_id": "m0rtus59/comfyui-art-venture", "cnr_id": "comfyui-art-venture", "ver": "1.0.7" }, "size": [ 192.43026733398438, 66 ], "title": "Overlay Inpainted", "type": "OverlayInpaintedImage", "widgets_values": [] }, { "bgcolor": "#335", "color": "#223", "flags": {}, "id": 1250, "inputs": [], "mode": 0, "order": 18, "outputs": [ { "links": [ 2741 ], "name": "MODEL", "slot_index": 0, "type": "MODEL" }, { "links": [ 2742 ], "name": "CLIP", "slot_index": 1, "type": "CLIP" }, { "links": [], "name": "VAE", "slot_index": 2, "type": "VAE" } ], "pos": [ -740, 400 ], "properties": { "Node name for S&R": "CheckpointLoaderSimple", "cnr_id": "comfy-core", "ver": "0.3.15" }, "size": [ 400, 98 ], "type": "CheckpointLoaderSimple", "widgets_values": [ "furry-refiner-mix.safetensors" ] }, { "bgcolor": "#653", "color": "#432", "flags": { "collapsed": true }, "id": 1263, "inputs": [], "mode": 0, "order": 19, "outputs": [], "pos": [ -1980, -770 ], "properties": {}, "size": [ 400, 170 ], "type": "Note", "widgets_values": [ "anthro, lynx, male, femboy, slender, (black fur. black body:1.4), yellow eyes, thin 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