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string multiline [Crystools]", "pos": [ 950, 210 ], "size": [ 230, 110 ], "flags": {}, "order": 17, "mode": 4, "inputs": [], "outputs": [ { "name": "string", "type": "STRING", "links": [ 4169, 84530 ] } ], "title": "Eyes prompt", "properties": { "aux_id": "crystian/ComfyUI-Crystools", "ver": "576b44b9b79e3bf4b5d50457a28924d89a42e7e1", "Node name for S&R": "Primitive string multiline [Crystools]", "cnr_id": "comfyui-crystools", "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ "brown eyes" ], "color": "#232", "bgcolor": "#353", "shape": 1 }, { "id": 228, "type": "PreviewImage", "pos": [ 1880, 1280 ], "size": [ 210, 246 ], "flags": { "collapsed": true }, "order": 120, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 423 } ], "outputs": [], "title": "Nipples", "properties": { "cnr_id": "comfy-core", "ver": "0.3.27", "Node name for S&R": "PreviewImage", "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [], "shape": 1 }, { "id": 348, "type": "MarkdownNote", "pos": [ -770, -190 ], "size": [ 260, 130 ], "flags": { "pinned": true }, "order": 18, "mode": 0, "inputs": [], "outputs": [], "title": "Author", "properties": { "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ "Please leave feedback or questions [here](https://civitai.com/models/1297813/comfyui-detaileradetailer-all-in-one-illustrious-pony-sdxl).
\nThank you for using my Workflow!\n
\n### [Guide](https://civitai.com/articles/15480)" ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 473, "type": "Primitive string multiline [Crystools]", "pos": [ 710, 210 ], "size": [ 230, 110 ], "flags": {}, "order": 19, "mode": 4, "inputs": [], "outputs": [ { "name": "string", "type": "STRING", "links": [ 3921, 84528 ] } ], "title": "Face prompt", "properties": { "aux_id": "crystian/ComfyUI-Crystools", "ver": "576b44b9b79e3bf4b5d50457a28924d89a42e7e1", "Node name for S&R": "Primitive string multiline [Crystools]", "cnr_id": "comfyui-crystools", "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ "brown eyes, " ], "color": "#232", "bgcolor": "#353", "shape": 1 }, { "id": 491, "type": "mxSlider", "pos": [ 710, 140 ], "size": [ 230, 30 ], "flags": {}, "order": 20, "mode": 0, "inputs": [], "outputs": [ { "name": "", "type": "FLOAT", "links": [ 4206 ] } ], "title": "Denoise Face", "properties": { "aux_id": 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"id": 364, "type": "Label (rgthree)", "pos": [ -500, -380 ], "size": [ 801, 26 ], "flags": { "allow_interaction": false, "pinned": true }, "order": 42, "mode": 0, "inputs": [], "outputs": [], "title": "____________________________________________________________", "properties": { "fontSize": 24, "fontFamily": "Arial", "fontColor": "#ffffff", "textAlign": "left", "backgroundColor": "transparent", "padding": 0, "borderRadius": 0, "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "color": "#fff0", "bgcolor": "#fff0" }, { "id": 326, "type": "MarkdownNote", "pos": [ -500, -320 ], "size": [ 210, 260 ], "flags": { "pinned": true }, "order": 43, "mode": 0, "inputs": [], "outputs": [], "title": "Nodes", "properties": { "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ "[ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)
\n[ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)
\n[ComfyUI-mxToolkit](https://github.com/Smirnov75/ComfyUI-mxToolkit)
\n[ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use)
\n[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)
\n[ComfyUI-Crystools](https://github.com/crystian/ComfyUI-Crystools)
\n[ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)
\n[ComfyUI_Comfyroll_CustomNodes](https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes)
\n[ComfyUI-Advanced-ControlNet](https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet)
\n[ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)
\n[ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)
\n[ComfyUI-WD14-Tagger](https://github.com/pythongosssss/ComfyUI-WD14-Tagger)
\n[ComfyUI-vslinx-nodes](https://github.com/vslinx/ComfyUI-vslinx-nodes)
\n[cg-use-everywhere](https://github.com/chrisgoringe/cg-use-everywhere)
\n[cg-image-filter](https://github.com/chrisgoringe/cg-image-filter)
\n[rgthree-comfy](https://github.com/rgthree/rgthree-comfy)
\n[wlsh_nodes](https://github.com/wallish77/wlsh_nodes)" ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 583, "type": "MarkdownNote", "pos": [ -280, -320 ], "size": [ 290, 260 ], "flags": { "pinned": true }, "order": 44, "mode": 0, "inputs": [], "outputs": [], "title": "ControlNet Models", "properties": { "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ "To use ControlNet you first have to download the ControlNet Models for NoobAI.
\nThese models work for Eps, VPred and even Illustrious models.
\nSo you don't need to use a NoobAI model if you prefer using Illustrious Checkpoints.

\nYou can find these Models [here](https://civitai.com/models/929685\n).
\nThe OpenPose model [here](https://huggingface.co/Laxhar/noob_openpose/tree/main).
\nOr all of them in their huggingface collection [here](https://huggingface.co/collections/Laxhar/noobai-sdxl-controlnet-67342fca03831b10647d7910).\n\n### Save these in your /models/controlnet folder\n" ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 448, "type": "MarkdownNote", "pos": [ 20, -320 ], "size": [ 290, 260 ], "flags": { "pinned": true }, "order": 45, "mode": 0, "inputs": [], "outputs": [], "title": "IPAdapter Model", "properties": { "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ "To use the IPAdapter you first have to download the IPAdapter Model for NoobAI.
\nThis models work for Eps, VPred and Illustrious models.
\nYou can find the Model [here](https://civitai.com/models/1000401?modelVersionId=1121145\n).\n\n### Save this in your /models/ipadapter folder\n\nYou also need a compatible Clip-vision Model which you can either find [here](https://huggingface.co/axssel/IPAdapter_ClipVision_models/blob/main/CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors) or through the Comfy Model Manager by searching for \"CLIP-ViT-bigG-14-laion2B\".\n\n### Save this in your /models/clip_vision folder" ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 858, "type": "MarkdownNote", "pos": [ 1590, 1340 ], "size": [ 250, 570 ], "flags": { "pinned": true }, "order": 46, "mode": 0, "inputs": [], "outputs": [], "title": "Detailer, Pre-Filled Values", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.0.1" } }, "widgets_values": [ "### You are free to remove the connections for pre-filled values like steps, cfg, sampler name & scheduler. (Don't disconnect denoise, you can set it conveniently in the \"Detailer Control-Group\") \n### Usually you will receive better results by tweaking these settings but it requires some fiddling, so here are some general tips:\n\n``sampler_name``: DPM++ 2M(dpmpp_2m) or UniPC for clean, stable detail. Less drastic changes to the input image.\n\n``scheduler``: karras (keeps more steps in the low-noise region, better for inpainting).\n\n``steps``: 20–24 for most (faces/lips); 18–22 for eyes; 24–28 for hands/genitals when fixes are hard.\n\n``cfg``: 5.0–6.0 (lower avoids crunchy noise; raise sparingly).\n\n---\n\nBy default, **negative prompts** are shared with the main image generation. \nTo use a custom one, connect a new **\"CLIP Text Encode (Prompt)\"** to the \"negative\" connection in the Detailer inside the `\"Detailer\"` group.\n" ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 365, "type": "Label (rgthree)", "pos": [ -1140, -400 ], "size": [ 214.8000030517578, 26 ], "flags": { "allow_interaction": false, "pinned": true }, "order": 47, "mode": 0, "inputs": [], "outputs": [], "title": "Manual / Mini-Guide", "properties": { "fontSize": 24, "fontFamily": "Arial", "fontColor": "#ffffff", "textAlign": "left", "backgroundColor": "transparent", "padding": 0, "borderRadius": 0, "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "color": "#fff0", "bgcolor": "#fff0" }, { "id": 856, "type": "MarkdownNote", "pos": [ 1290, 810 ], "size": [ 290, 1100 ], "flags": { "pinned": true }, "order": 48, "mode": 0, "inputs": [], "outputs": [], "title": "Detailer Parameters", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.0.1" } }, "widgets_values": [ "#### ← To the left you can find the LoRA selectors for each specific body-part.
\n#### To the bottom left of this note, right below the \"Detailer LoRA's\"-Node, you can find my recommendations to improve the quality for body-specific parts even further.\n\n---\n\n#### → To the right are the Detailers, open the nodes, after activating them above, by clicking the rectangle to the left of their name and then adapt the settings to your needs to improve your results even further. These are the most important parameters to improve your results:
\n\n``Positive Prompt Node (Detailer Control-Group)`` — Use optional body-part positive prompts in the \"Detailer prompts\"-Group. \n Use **body-part specific LoRA’s** for best results.\n\n``guide_size`` — Target short-side pixels for each crop before inpaint. Higher = more detail, more VRAM.\n\n``max_size`` — Cap on the crop’s long side after resizing. Prevents huge crops; set ≥ largest expected crop to avoid downscaling.\n\n``feather`` — Blur on the blend mask edges. Higher = smoother seams, less edge noise (but slightly softer detail).\n\n``bbox_threshold`` — Detector confidence cutoff. Higher = fewer, surer detections; lower = more/looser boxes.\n\n``bbox_dilation`` — Extra pixels added around each bbox (padding). More context → more natural blends.\n\n``bbox_crop_factor`` — Multiplies bbox size before cropping (e.g., 1.2 = +20%). Similar to dilation but proportional.\n\n``sam_dilation`` — Dilate/erode SAM mask by pixels. Positive = expand mask, negative = tighten.\n\n``sam_threshold`` — Confidence cutoff for SAM mask. Lower = larger masks; higher = tighter masks.\n\n``sam_bbox_expansion`` — Scale factor applied to bbox before running SAM (e.g., 1.2 = +20%).\n\n``sam_mask_hint_threshold`` — Threshold for using hint logits with SAM; higher trusts hints less.\n\n``drop_size`` — Minimum mask/crop size (px). Filters tiny false positives.\n\n``noise_mask_feather`` — Feather for the noise application inside the mask. Higher = smoother noise transition, fewer gritty rims.\n\n``cycle`` — How many times to detail the detected region(s). >1 can refine tough areas at extra cost.\n\n---\n\n### Rule of thumb(for 2x upscaled):\n>Start with ``guide_size`` 896–1024 (eyes 896–1024; face 1024–1536+ if the face is large).\n\n>Set ``max_size`` near your image long side (or 1536–2048 if VRAM is tight).\n\n>Use ``feather`` 24–48 (smaller areas ≈20–28; larger areas ≈32–48).\n\n>Keep ``noise_mask_feather`` ≈ 24–36 (small vs. large areas)." ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 505, "type": "MarkdownNote", "pos": [ 1190, -130 ], "size": [ 230, 230 ], "flags": {}, "order": 49, "mode": 0, "inputs": [], "outputs": [], "title": "What are these sliders?", "properties": { "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ "#### Denoise\n\nDenoise controls how much of the original image's form and shape is preserved versus how much is regenerated during inpainting.\nA low denoise value keeps the original form while repainting it with your prompt. A high value removes the original form and shape and creates something new.\nI recommend keeping the values low to upscale & touchup - this increases quality without deformation.
\nKeep values at 0.2-0.35 to inpaint with higher quality, only increase the denoise value above that if you want to re-create because of deformations in the original." ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 855, "type": "MarkdownNote", "pos": [ 1190, 580 ], "size": [ 230, 180 ], "flags": {}, "order": 50, "mode": 0, "inputs": [], "outputs": [], "title": "Detailer Settings", "properties": { "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ "### ↓ Below you can find the settings for the Detailer as well as LoRA's you can activate. Between the LoRA's and the Detailers itself you can find an explanation of the most important variables and how to improve your results." ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 833, "type": "Power Lora Loader (rgthree)", "pos": [ 840, 1090 ], "size": [ 210, 200 ], "flags": {}, "order": 51, "mode": 0, "inputs": [ { "dir": 3, "name": "model", "type": "MODEL", "link": null }, { "dir": 3, "name": "clip", "type": "CLIP", "link": null } ], "outputs": [ { "dir": 4, "name": "MODEL", "shape": 3, "type": "MODEL", "links": [ 95992 ] }, { "dir": 4, "name": "CLIP", "shape": 3, "type": "CLIP", "links": [ 95993 ] } ], "title": "Vagina LoRA", "properties": { "aux_id": "rgthree/rgthree-comfy", "ver": "110e4ef1dbf2ea20ec39ae5a737bd5e56d4e54c2", "Show Strengths": "Single Strength", "cnr_id": "rgthree-comfy", "ue_properties": { "widget_ue_connectable": {}, "version": "7.0.1" } }, "widgets_values": [ {}, { "type": "PowerLoraLoaderHeaderWidget" }, {}, "" ], "color": "#223", "bgcolor": "#335", "shape": 1 }, { "id": 51, "type": "Prompts Everywhere", "pos": [ -760, 1650 ], "size": [ 420, 60 ], "flags": { "collapsed": true }, "order": 113, "mode": 0, "inputs": [ { "color_on": "#FFA931", "label": "CONDITIONING", "name": "+ve", "shape": 7, "type": "CONDITIONING", "link": 85702 }, { "color_on": "#FFA931", "label": "CONDITIONING", "name": "-ve", "shape": 7, "type": "CONDITIONING", "link": 85720 } ], "outputs": [], "properties": { "aux_id": "chrisgoringe/cg-use-everywhere", "ver": "8017bc6b063f45db6b986d9fc8bb76bd3234b838", "Node name for S&R": "Prompts Everywhere", "cnr_id": "cg-use-everywhere", "ue_properties": { "version": "7.0", "group_restricted": 0, "color_restricted": 0, "widget_ue_connectable": {}, "fixed_inputs": true, "prompt_regexes": true } }, "widgets_values": [], "color": "#707070", "bgcolor": "#5c5c5c", "shape": 1 }, { "id": 649, "type": "mxSlider", "pos": [ -60, 190 ], "size": [ 350, 30 ], "flags": {}, "order": 52, "mode": 0, "inputs": [], "outputs": [ { "name": "", "type": "FLOAT", "links": [ 79101 ] } ], "title": "Upscale Factor", "properties": { "aux_id": "Smirnov75/ComfyUI-mxToolkit", "ver": "0a3857ada2c1780188b9d5abb95f9f3e6561d976", "Node name for S&R": "mxSlider", "value": 2, "min": 1, "max": 6, "step": 0.1, "decimals": 1, "snap": true, "cnr_id": "comfyui-mxtoolkit", "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ 2, 2, 1 ], "color": "#432", "bgcolor": "#653", "shape": 1 }, { "id": 863, "type": "Reroute", "pos": [ -760, 1660 ], "size": [ 75, 26 ], "flags": {}, "order": 138, "mode": 0, "inputs": [ { "name": "", "type": "*", "link": 96870 } ], "outputs": [ { "name": "", "type": "CLIP", "links": [ 96959 ] } ], "properties": { "showOutputText": false, "horizontal": false, "ue_properties": { "widget_ue_connectable": {}, "version": "7.0.1" } }, "color": "#707070", "bgcolor": "#5c5c5c", "shape": 1 }, { "id": 582, "type": "mxSlider", "pos": [ 1850, 280 ], "size": [ 380, 30 ], "flags": {}, "order": 53, "mode": 0, "inputs": [], "outputs": [ { "name": "", "type": "FLOAT", "links": [ 85543 ] } ], "title": "Accuracy", "properties": { "aux_id": "Smirnov75/ComfyUI-mxToolkit", "ver": "0a3857ada2c1780188b9d5abb95f9f3e6561d976", "Node name for S&R": "mxSlider", "value": 0.55, "min": 0, "max": 2, "step": 0.01, "decimals": 2, "snap": true, "cnr_id": "comfyui-mxtoolkit", "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ 0, 0.55, 1 ], "color": "#432", "bgcolor": "#653", "shape": 1 }, { "id": 635, "type": "PathchSageAttentionKJ", "pos": [ -760, 1430 ], "size": [ 290, 58 ], "flags": {}, "order": 95, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 76831 } ], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 97100 ] } ], "title": "Patch Sage Attention", "properties": { "aux_id": "kijai/ComfyUI-KJNodes", "ver": "ad37ce656c13e9abea002b46e3a89be3dba32355", "Node name for S&R": "PathchSageAttentionKJ", "cnr_id": "comfyui-kjnodes", "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ "disabled" ], "color": "#223", "bgcolor": "#335", "shape": 1 }, { "id": 456, "type": "IPAdapterTiled", "pos": [ -460, 1760 ], "size": [ 270, 302 ], "flags": { "collapsed": true }, "order": 126, "mode": 4, "inputs": [ { "name": "model", "type": "MODEL", "link": 97102 }, { "name": "ipadapter", "type": "IPADAPTER", "link": 86023 }, { "name": "image", "type": "IMAGE", "link": 85918 }, { "name": "image_negative", "shape": 7, "type": "IMAGE", "link": null }, { "name": "attn_mask", "shape": 7, "type": "MASK", "link": null }, { "name": "clip_vision", "shape": 7, "type": "CLIP_VISION", "link": 86024 }, { "name": "weight", "type": "FLOAT", "widget": { "name": "weight" }, "link": 3185 } ], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 3187 ] }, { "name": "tiles", "type": "IMAGE", "links": null }, { "name": "masks", "type": "MASK", "links": null } ], "properties": { "aux_id": "cubiq/ComfyUI_IPAdapter_plus", "ver": "a0f451a5113cf9becb0847b92884cb10cbdec0ef", "Node name for S&R": "IPAdapterTiled", "cnr_id": "comfyui_ipadapter_plus", "rejects_ue_links": false, "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ 1, "strong style transfer", "add", 0, 1, 0.25000000000000006, "K+V" ], "color": "#707070", "bgcolor": "#5c5c5c", "shape": 1 }, { "id": 522, "type": "easy seed", "pos": [ -360, 540 ], "size": [ 270, 106 ], "flags": {}, "order": 54, "mode": 0, "inputs": [], "outputs": [ { "name": "seed", "type": "INT", "links": [ 59810, 85391, 85535 ] } ], "title": "Seed", "properties": { "aux_id": "yolain/ComfyUI-Easy-Use", "ver": "3e84b8cd77719341adc71b08b5789bdb07b1a543", "Node name for S&R": "easy seed", "cnr_id": "comfyui-easy-use", "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ 795010889449535, "fixed", null ], "color": "#432", "bgcolor": "#653", "shape": 1 }, { "id": 670, "type": "mxSlider", "pos": [ -60, 260 ], "size": [ 350, 30 ], "flags": {}, "order": 55, "mode": 0, "inputs": [], "outputs": [ { "name": "", "type": "FLOAT", "links": [ 85394 ] } ], "title": "Hi-Res Fix Denoise", "properties": { "aux_id": "Smirnov75/ComfyUI-mxToolkit", "ver": "0a3857ada2c1780188b9d5abb95f9f3e6561d976", "Node name for S&R": "mxSlider", "value": 0.3, "min": 0, "max": 1, "step": 0.01, "decimals": 2, "snap": true, "cnr_id": "comfyui-mxtoolkit", "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ 0, 0.3, 1 ], "color": "#432", "bgcolor": "#653", "shape": 1 }, { "id": 274, "type": "PreviewImage", "pos": [ 2260, 20 ], "size": [ 410, 740 ], "flags": { "collapsed": false }, "order": 124, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 97913 } ], "outputs": [], "title": "Preview after Upscale/HiRes Fix", "properties": { "cnr_id": "comfy-core", "ver": "0.3.27", "Node name for S&R": "PreviewImage", "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [], "shape": 1 }, { "id": 685, "type": "8b276ebf-cef2-48f0-9370-d0f01939cc16", "pos": [ -240, 1760 ], "size": [ 240, 26 ], "flags": { "collapsed": true }, "order": 101, "mode": 4, "inputs": [ { "name": "image", "type": "IMAGE", "link": 85917 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 85918 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.49", "ue_properties": { "widget_ue_connectable": {}, "version": "7.0.1" } }, "widgets_values": [], "color": "#707070", "bgcolor": "#5c5c5c", "shape": 1 }, { "id": 725, "type": "Reroute", "pos": [ -620, 700 ], "size": [ 75, 26 ], "flags": {}, "order": 93, "mode": 0, "inputs": [ { "name": "", "type": "*", "link": 92203 } ], "outputs": [ { "name": "", "type": "IMAGE", "links": [ 91437, 91438, 97297, 97361 ] } ], "properties": { "showOutputText": false, "horizontal": false, "ue_properties": { "widget_ue_connectable": {}, "version": "7.0.1" } }, "color": "#707070", "bgcolor": "#5c5c5c", "shape": 1 }, { "id": 865, "type": "easy anythingIndexSwitch", "pos": [ 350, 1650 ], "size": [ 270, 98 ], "flags": { "collapsed": true }, "order": 102, "mode": 4, "inputs": [ { "name": "value0", "shape": 7, "type": "*", "link": 97361 }, { "name": "value1", "shape": 7, "type": "*", "link": 97424 }, { "name": "value2", "type": "*", "link": null } ], "outputs": [ { "name": "value", "type": "*", "links": [ 97392 ] } ], "title": "Low VRAM img Switch", "properties": { "aux_id": "yolain/ComfyUI-Easy-Use", "ver": "11794f7d718dc38dded09e677817add796ce0234", "Node name for S&R": "easy anythingIndexSwitch", "cnr_id": "comfyui-easy-use", "ue_properties": { "widget_ue_connectable": { "index": true }, "version": "7.0.1" } }, "widgets_values": [ 1 ], "color": "#707070", "bgcolor": "#5c5c5c", "shape": 1 }, { "id": 868, "type": "easy anythingIndexSwitch", "pos": [ 350, 1730 ], "size": [ 270, 98 ], "flags": { "collapsed": true }, "order": 103, "mode": 4, "inputs": [ { "name": "value0", "shape": 7, "type": "*", "link": 97455 }, { "name": "value1", "shape": 7, "type": "*", "link": 97456 }, { "name": "value2", "type": "*", "link": null } ], "outputs": [ { "name": "value", "type": "*", "links": [ 97457 ] } ], "title": "Low VRAM res Switch", "properties": { "aux_id": "yolain/ComfyUI-Easy-Use", "ver": "11794f7d718dc38dded09e677817add796ce0234", "Node name for S&R": "easy anythingIndexSwitch", "cnr_id": "comfyui-easy-use", "ue_properties": { "widget_ue_connectable": { "index": true }, "version": "7.0.1" } }, "widgets_values": [ 1 ], "color": "#707070", "bgcolor": "#5c5c5c", "shape": 1 }, { "id": 854, "type": "MarkdownNote", "pos": [ -70, 1340 ], "size": [ 680, 190 ], "flags": { "pinned": true }, "order": 56, "mode": 0, "inputs": [], "outputs": [], "title": "Refiner", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.0.1" } }, "widgets_values": [ "## ← Explanation Refiner\nIf you’re using refiner, the image is generated with two different checkpoints, which also means it requires more VRAM. The first checkpoint creates the bulk of the image, including composition and structure, while the second checkpoint refines and touches up details. The slider “steps spent on base” determines how many steps are allocated to the first checkpoint, while the remaining steps (up to the total steps set in Sampler Settings) are spent with the refiner. Usually, a specific refiner checkpoint is loaded just for that second phase.\n\nIf you combine a refiner with hires fix, keep in mind that only the first checkpoint is used for the hires pass due to technical limitations — so if you’re trying to apply a second checkpoint for style, it’s best to use a very low denoise value (around 0.1–0.15) for the hires fix. With the rise of hires fix and upscaling, refiners have become mostly obsolete, since these methods achieve equal or better results in a more flexible and efficient way." ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 695, "type": "MarkdownNote", "pos": [ 970, 1340 ], "size": [ 310, 570 ], "flags": { "collapsed": false, "pinned": true }, "order": 57, "mode": 0, "inputs": [], "outputs": [], "title": "Recommended Detailer LoRA's", "properties": { "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ "#### General Detailer (Can be used for everything)\n- [NoobAI-XL Detailer](https://civitai.com/models/987736?modelVersionId=1147221)\n\n#### General Detailer for V-Pred Models\n- [NoobAI-XL Detailer](https://civitai.com/models/987736?modelVersionId=1209350)\n\n#### Eyes\n- [Eye detail LoRA [Illustrious+FLUX]](https://civitai.com/models/1300857?modelVersionId=1468284)\n\n#### Hands\n- [Hands XL + SD 1.5 + FLUX.1-dev + Pony + Illustrious](https://civitai.com/models/200255?modelVersionId=1464262)\n\n#### Nipples\n- [Nipple LORA for ADetailer / ADetailer用の乳首LORA Anmagine XL 3.1-4.0](https://civitai.com/models/502107\n)\n- [Nipple LORA for ADetailer / ADetailer用の乳首LORA](https://civitai.com/models/493096)\n- [[Illustrious-XL] Nipple LORA for ADetailer / ADetailer用の乳首LORA](https://civitai.com/models/827482)" ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 696, "type": "MarkdownNote", "pos": [ 620, 1340 ], "size": [ 340, 570 ], "flags": { "collapsed": false, "pinned": true }, "order": 58, "mode": 0, "inputs": [], "outputs": [], "title": "Recommended Ultralytics Models", "properties": { "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n" ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 438, "type": "Primitive boolean [Crystools]", "pos": [ -760, 1030 ], "size": [ 290, 60 ], "flags": {}, "order": 59, "mode": 0, "inputs": [], "outputs": [ { "name": "boolean", "type": "BOOLEAN", "links": [ 85701 ] } ], "title": "Is V-Pred Model", "properties": { "aux_id": "crystian/ComfyUI-Crystools", "ver": "576b44b9b79e3bf4b5d50457a28924d89a42e7e1", "Node name for S&R": "Primitive boolean [Crystools]", "cnr_id": "comfyui-crystools", "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ false ], "color": "#223", "bgcolor": "#335", "shape": 1 }, { "id": 840, "type": "mxSlider", "pos": [ -440, 1250 ], "size": [ 350, 30 ], "flags": {}, "order": 60, "mode": 0, "inputs": [], "outputs": [ { "name": "", "type": "INT", "links": [ 96191 ] } ], "title": "Steps spent on Base", "properties": { "aux_id": "Smirnov75/ComfyUI-mxToolkit", "ver": "d3333cca48025509932766ffda98e82050453118", "Node name for S&R": "mxSlider", "value": 25, "min": 0, "max": 60, "step": 1, "decimals": 0, "snap": true, "cnr_id": "comfyui-mxtoolkit", "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ 25, 25, 0 ], "color": "#223", "bgcolor": "#335", "shape": 1 }, { "id": 870, "type": "Primitive boolean [Crystools]", "pos": [ -440, 1150 ], "size": [ 350, 58 ], "flags": {}, "order": 61, "mode": 0, "inputs": [], "outputs": [ { "name": "boolean", "type": "BOOLEAN", "links": [ 97549 ] } ], "title": "Is V-Pred Model", "properties": { "aux_id": "crystian/ComfyUI-Crystools", "ver": "576b44b9b79e3bf4b5d50457a28924d89a42e7e1", "Node name for S&R": "Primitive boolean [Crystools]", "cnr_id": "comfyui-crystools", "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ false ], "color": "#223", "bgcolor": "#335", "shape": 1 }, { "id": 314, "type": "Fast Bypasser (rgthree)", "pos": [ 710, -130 ], "size": [ 230, 226 ], "flags": {}, "order": 125, "mode": 0, "inputs": [ { "dir": 3, "label": " ", "name": "Face Detailer", "type": "*", "link": 576 }, { "dir": 3, "label": " ", "name": "Eyes Detailer", "type": "*", "link": 577 }, { "dir": 3, "label": " ", "name": "Nose Detailer", "type": "*", "link": 578 }, { "dir": 3, "label": " ", "name": "Lips Detailer", "type": "*", "link": 579 }, { "dir": 3, "label": " ", "name": "Hands Detailer", "type": "*", "link": 580 }, { "dir": 3, "label": " ", "name": "Nipples Detailer", "type": "*", "link": 581 }, { "dir": 3, "label": " ", "name": "Vagina Detailer", "type": "*", "link": 582 }, { "dir": 3, "label": " ", "name": "Penis Detailer", "type": "*", "link": 583 }, { "dir": 3, "label": " ", "name": "", "type": "*", "link": null } ], "outputs": [ { "dir": 4, "label": " ", "name": "OPT_CONNECTION", "type": "*", "links": null } ], "title": "Detailer Control", "properties": { "toggleRestriction": "default", "collapse_connections": true, "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "color": "#432", "bgcolor": "#653", "shape": 1 }, { "id": 842, "type": "Power Lora Loader (rgthree)", "pos": [ -440, 1320 ], "size": [ 350, 200 ], "flags": {}, "order": 92, "mode": 0, "inputs": [ { "dir": 3, "name": "model", "type": "MODEL", "link": 96393 }, { "dir": 3, "name": "clip", "type": "CLIP", "link": 96394 } ], "outputs": [ { "dir": 4, "name": "MODEL", "shape": 3, "type": "MODEL", "links": [ 97550 ] }, { "dir": 4, "name": "CLIP", "shape": 3, "type": "CLIP", "links": [ 97551 ] } ], "title": "Refiner LoRA's", "properties": { "aux_id": "rgthree/rgthree-comfy", "ver": "110e4ef1dbf2ea20ec39ae5a737bd5e56d4e54c2", "Show Strengths": "Single Strength", "cnr_id": "rgthree-comfy", "ue_properties": { "widget_ue_connectable": {}, "version": "7.0.1" } }, "widgets_values": [ {}, { "type": "PowerLoraLoaderHeaderWidget" }, {}, "" ], "color": "#223", "bgcolor": "#335", "shape": 1 }, { "id": 684, "type": "76f22bc5-45aa-41cd-ab2b-88b2f4509b12", "pos": [ -760, 1690 ], "size": [ 250, 354 ], "flags": { "collapsed": true }, "order": 137, "mode": 0, "inputs": [ { "label": "clip (after loras)", "name": "clip", "type": "CLIP", "link": 96838 }, { "label": "Start quality prompt", "name": "text", "type": "STRING", "widget": { "name": "text" }, "link": 85695 }, { "name": "model", "type": "MODEL", "link": 97100 }, { "name": "scheduler", "type": "COMBO", "widget": { "name": "scheduler" }, "link": 85697 }, { "label": "Negative prompt", "name": "text_1", "type": "STRING", "widget": { "name": "text_1" }, "link": 85699 }, { "label": "Clip skip value", "name": "a", "type": "INT,FLOAT,IMAGE,LATENT", "link": 85700 }, { "label": "is v-pred?", "name": "boolean", "type": "BOOLEAN", "widget": { "name": "boolean" }, "link": 85701 }, { "label": "clip (after clip skip)", "name": "clip_1", "type": "CLIP", "link": 96959 }, { "label": "clip (refiner)", "name": "clip_2", "type": "CLIP", "link": 97551 }, { "label": "is v-pred? (refiner)", "name": "boolean_1", "type": "BOOLEAN", "widget": { "name": "boolean_1" }, "link": 97549 }, { "label": "model (refiner)", "name": "model_1", "type": "MODEL", "link": 97550 } ], "outputs": [ { "label": "Start quality prompt", "name": "CONDITIONING", "type": "CONDITIONING", "links": [ 85702 ] }, { "name": "scheduler", "type": "COMBO", "links": [ 85704, 85705, 85706, 85707, 85708, 85709, 85710, 95897, 96613 ] }, { "name": "SAM_MODEL", "type": "SAM_MODEL", "links": [ 85711, 85712, 85713, 85714, 85715, 85716, 85717, 85718 ] }, { "name": "CLIP", "type": "CLIP", "links": [ 96839, 96870 ] }, { "label": "Negative prompt", "name": "CONDITIONING_1", "type": "CONDITIONING", "links": [ 85720 ] }, { "label": "model", "name": "*", "type": "*", "links": [ 97101 ] }, { "label": "CLIP (refiner)", "name": "CLIP_1", "type": "CLIP", "links": [ 97552 ] }, { "label": "model (refiner)", "name": "*_1", "type": "*", "links": [ 97553 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.49", "ue_properties": { "widget_ue_connectable": { "text": true, "scheduler": true, "text_1": true, "boolean": true }, "version": "7.0.1" } }, "widgets_values": [ "", "normal", "", true, true ], "color": "#707070", "bgcolor": "#5c5c5c", "shape": 1 }, { "id": 323, "type": "MarkdownNote", "pos": [ -1150, -320 ], "size": [ 370, 2230 ], "flags": { "pinned": true }, "order": 62, "mode": 0, "inputs": [], "outputs": [], "title": "How to use", "properties": { "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "widgets_values": [ "## First Row\n\n#### Input Image\nHere you select your input image for the IMG2IMG process that you want to use throughout the complete process. Thanks to the custom node you can select multiple images at once and they'll be processed one after another.\n\n---\n\n\n#### Sampler Settings\nThese settings will be used during all steps of the process. The Sampler, Scheduler, Steps, CFG/Guidance and CLIP Skip settings will be used in the image generation(IMG2IMG Transfer) as well as the detailer. The Denoise and Seed settings are only used during IMG2IMG Transfer.\n\n---\n\n#### General Function Control\nIn the \"General Function Control\"-Group you can select if you want to upscale your output image, as well as the factor by which you want to upscale and if you want to use a prepended quality prompt for the detailers that are being used.
\nYou can also enable HiRes-Fix, which resamples the upscaled image with a low denoise value to repaint it for higher resolution and quality.
\nThe Hi-Res Fix Denoise value is only applied when Hi-Res Fix is enabled and determines how much of the original image is overwritten. A value between 0.25 and 0.35 is recommended.
It’s recommended to use \"Color Fix\" alongside it to preserve the original colors, as resampling can sometimes wash out contrast.\n\n---\n\n#### General Prompt Control\nHere you can set the Start quality prompt that you'll be able to use throughout the detailers as well as the negative prompt that will be used across every process of this workflow.\n\n---\n\n\n#### LoRA's\nIn this group you can add as many LoRA's to the general process as you want. These LoRA's will be applied to the whole process including detailing, hires fix, detailers etc. to keep consistent styles/characters across your generation. Simply click the \"+ Add Lora\"-Button in the Node and select your LoRA. You can toggle single ones or all of them by the switch button in front of the names/at the top respectively. To remove LoRA's simply rightclick on their name and click \"Remove\".\n\n---\n\n#### Detailer Control\nIn the \"Detailer Control\"-Group you can select which Detailers to run, what manual body part prompts to activate as well as one \"Denoise\"-Slider and one prompt field for each body part that has a detailer.
The prompt field is there to let you define what should be inpainted into the detail area while the denoise slider controls how much of the original shape, form, and color will be replaced.
A high value will completely overwrite the area while a lower value will preserve the original form (and color depending on how low) and just enhance it at a higher resolution.
If the anatomy already looks good and you only want to improve quality, a denoise value of 0.25 to 0.35 is recommended. If the anatomy is off - like extra fingers - you can increase it to 0.5 or higher and see if the results improve.
The higher your denoise value - the higher impact your prompt has. You can also leave the prompt deactivated (At the top) and only use a low denoise value to simply detail the area in a higher resolution without changing too much of what's being shown.
As a general rule for the denoise setting you can remember that the higher the denoise value, the more the detailer will ignore what's already in that area. \n\n---\n\n#### IPAdapter\nIPAdapter let's you copy the style of an image simply by providing an IPAdapter Model & a Clip Model.
\nIt basically works as a 1-Image-LoRA that injects itself into the Model and applies the style of the image like a LoRA.
\n
\nIf you use the \"Low VRAM\"-Option, ALONGSIDE the IPAdapter, your input image will be scaled down to a resolution where your smallest side of the image has 512px to decrease the VRAM usage that IPAdapter needs to analyze the image.
\nBe aware that you still have to prompt correctly with IPAdapter.\n\n---\n\n#### IMG2IMG Transfer\nThis section lets you use any image as a base to create a new one with the same composition and elements, while still giving you creative control over what’s shown. In short, it allows you to recreate or \"copy\" an image with your own characters, styling, or prompts.
\nThe positive prompt also supports dynamic prompts including files and wildcards. To see the full documentation on what you can do with that check the node-documentation [here](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/ImpactWildcard.md). If you want to use dynamic prompts with files they'll have to be in the respective folder BEFORE you start comfyui to be recognized, refreshing alone will not load them.
\nTo use this effectively please check the guide [here](https://civitai.com/articles/15480) under \"IMG2IMG Transfer\" for a full explanation.\nUse the \"Low VRAM\"-Option ALONGSIDE the IMG2IMG Transfer to reduce required/used VRAM during the Pre-Processing and appliance of the ControlNet to the image. This also impacts results so only use it if you have 12GB VRAM or less or if you want faster generation and don't mind a decrease in quality.\n\n---\n\n#### Before & After\nSimply gives you a preview of your image as it processes. The left node shows your image after upscaling/hires fix (if either or both are activated) while the right shows you your image after detailing. To see a preview after upscaling but before the hires fix check the \"Pre-HiRes Fix\"-Node in the Debug-Group below this node.\n\n---\n\n## Second Row\n\n#### Model Backend\nIn the **Model Backend** group, choose your Checkpoint, VAE and Upscale Model.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".
\nIf you have a checkpoint that uses a baked in VAE you can disable the \"Seperate VAE\"-Switch to use the in-built VAE of the checkpoint.\n\nOnly use \"Patch Sage Attention\" if you know what you do. You need to install triton on your PC which can be a lengthy and troublesome undertaking while only giving you a miniscule speed boost of maybe 2-3 seconds per image. You can find a guide for it [here](https://www.reddit.com/r/comfyui/comments/1hn32jc/step_by_step_video_tutorial_on_installing/).\n\n---\n\n#### Refiner Backend\nHere you can select if you want to use the normal Sampler or the Refiner Sampler - followed by options to add a refiner checkpoint, a slider for the steps that should be spent on the base checkpoint and LoRA's that'll be exclusively used during the 2nd sampling phase done with the refiner. If you don't know what a refiner is, check the \"Refiner\"-Note to the bottom right of the Refiner Backend.\n\n---\n\n#### Detection Models\nHere you select your ultralytics detection models that are trained specifically to find certain body parts and mask them so the detailer can inpaint these areas. You can find some recommendations for these in the \"Recommended Ultralytics Models\"-Node to the right or on civitai [here](https://civitai.com/search/models?modelType=Detection&sortBy=models_v9). Ultralytics are not model specific, so even if it's listed as SD1 you can use them for every other checkpoint.\n\n---\n\n#### Detailer LoRA's\nSimilar to the LoRA selection in the first Row you can select as man LoRAs as you want here. Each one of them is only injected into the corresponding detailer. Therefore you can use LoRAs that are specifically made for certain body parts. Some recommendations are in the \"Recommended Detailer LoRA's\"-Note to the right directly under the \"Detailer LoRA's\"-Group.\n\n---\n\n#### Detailer\nThis is where the magic happens - here the ultralytics models are being used to find your areas, mask them and then inpaint them using your set values. To find out more and some recommendations read the note to the left of it and underneath it.\n\n---\n\n#### Debug\nHere you will find some helpers throughout the workflow that give you some background information and might help you find problems during your generation if you're running into issues. More information on what everything there does is inside the note in the group or in the \"Debug\"-Section of [this](https://civitai.com/articles/15480) guide." ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 871, "type": "MarkdownNote", "pos": [ 1770, 850 ], "size": [ 620, 340 ], "flags": {}, "order": 63, "mode": 0, "inputs": [], "outputs": [], "title": "What are these nodes?", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.0.1" } }, "widgets_values": [ "### Debug Section\n\nThe **\"Show Example Eye Prompt\"** node demonstrates how the \"Start Quality Prompt (Detailer)\" node merges with your detailer prompts when the start quality prompt is enabled. (Only shows if Eye prompt is enabled)\n\n---\n\nThe **\"Show full IMG2IMG Transfer Prompt\"** node displays the complete prompt used during IMG2IMG transfer, including all tags added through interrogation.\n\n---\n\nYou can open the body-part previews by clicking the rectangle symbol next to their name. They show the improved part.\nIf the whole image is in the preview it means that the Detailer is disabled, no changes have been made.\nIf the preview is a black rectangle it means the Ultralytics detection model has not found any matches.\nYou might choose a different detection model or change settings in the detailer, see \"Detailer Parameters\"-Note to the left. You can find the Detailers in the \"Detailer\"-Group.\n\n---\n\n**ControlNet Preview** shows the image generated during IMG2IMG transfer that is used as the base for creating your final image.\n\n---\n\n**Pre-HiRes Fix** displays a preview of your image before the HiRes-Fix process is applied." ], "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 629, "type": "Mute / Bypass Repeater (rgthree)", "pos": [ 350, 1690 ], "size": [ 250.20077514648438, 60 ], "flags": { "collapsed": true }, "order": 64, "mode": 4, "inputs": [ { "dir": 3, "name": "", "type": "*", "link": null } ], "outputs": [ { "color_off": "#a80", "color_on": "#Fc0", "dir": 4, "name": "OPT_CONNECTION", "type": "*", "links": [ 72526 ] } ], "title": "Low VRAM for IMG2IMG Transfer", "properties": { "ue_properties": { "version": "7.0.1", "widget_ue_connectable": {} } }, "color": "#707070", "bgcolor": "#5c5c5c", "shape": 1 }, { "id": 864, "type": "3b44c24d-cafa-4957-bb1d-bb05cd7d599a", "pos": [ 350, 1610 ], "size": [ 180, 50 ], "flags": { "collapsed": true }, "order": 99, "mode": 4, "inputs": [ { "name": "image", "type": "IMAGE", "link": 97297 } ], "outputs": [ { "label": "resized img", "name": "IMAGE", "type": "IMAGE", "links": [ 97424 ] }, { "label": "resolution", "name": "int", "type": "INT", "links": [ 97456 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.51", "ue_properties": { "widget_ue_connectable": {}, "version": "7.0.1" } }, "widgets_values": [], "color": "#707070", "bgcolor": "#5c5c5c", "shape": 1 }, { "id": 662, "type": "Mute / Bypass Repeater (rgthree)", "pos": [ -10, 1780 ], "size": [ 247.65780639648438, 60 ], "flags": { "collapsed": true }, "order": 65, "mode": 0, "inputs": [ { "dir": 3, "name": "", "type": "*", "link": null } ], "outputs": [ { "color_off": "#a80", "color_on": "#Fc0", "dir": 4, "name": "OPT_CONNECTION", "type": "*", "links": [ 83076 ] } ], "title": "Hi-Res Fix", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.0.1" } }, "color": 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