diff --git "a/workflows/IMG2IMG/v5.2/IMG2IMG-ADetailer-v5.2-vslinx.json" "b/workflows/IMG2IMG/v5.2/IMG2IMG-ADetailer-v5.2-vslinx.json" new file mode 100644--- /dev/null +++ "b/workflows/IMG2IMG/v5.2/IMG2IMG-ADetailer-v5.2-vslinx.json" @@ -0,0 +1,35631 @@ +{ + "id": "e4015dbf-c92b-4746-9394-3e1ac4b53dbe", + "revision": 0, + "last_node_id": 1064, + "last_link_id": 107274, + "nodes": [ + { + "id": 363, + "type": "Label (rgthree)", + "pos": [ + -500, + -390 + ], + "size": [ + 149.43333435058594, + 24 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 0, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Requirements", + "properties": { + "fontSize": 24, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 368, + "type": "Label (rgthree)", + "pos": [ + -700, + -270 + ], + "size": [ + 147.38333129882812, + 52 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 1, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "vsLinx", + "properties": { + "fontSize": 52, + "fontFamily": "Arial", + "fontColor": "#FF4D00", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 367, + "type": "Label (rgthree)", + "pos": [ + -760, + -300 + ], + "size": [ + 184.5500030517578, + 34 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 2, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Workflow by", + "properties": { + "fontSize": 34, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 450, + "type": "Label (rgthree)", + "pos": [ + -760, + -310 + ], + "size": [ + 60.650001525878906, + 14 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "IMG2IMG", + "properties": { + "fontSize": 14, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 366, + "type": "Label (rgthree)", + "pos": [ + -1140, + -390 + ], + "size": [ + 360.45001220703125, + 24 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 4, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "___________________________", + "properties": { + "fontSize": 24, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 493, + "type": "mxSlider", + "pos": [ + 710, + 360 + ], + "size": [ + 230, + 30 + ], + "flags": {}, + "order": 5, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "", + "type": "FLOAT", + "links": [ + 4209 + ] + } + ], + "title": "Denoise Lips", + "properties": { + "cnr_id": "comfyui-mxtoolkit", + "ver": "0a3857ada2c1780188b9d5abb95f9f3e6561d976", + "Node name for S&R": "mxSlider", + "value": 0.3, + "min": 0, + "max": 1, + "step": 0.01, + "decimals": 2, + "snap": true, + "aux_id": "Smirnov75/ComfyUI-mxToolkit", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + 0, + 0.3, + 1 + ], + "color": "#432", + "bgcolor": "#653", + "shape": 1 + }, + { + "id": 492, + "type": "mxSlider", + "pos": [ + 1190, + 140 + ], + "size": [ + 230, + 30 + ], + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "", + "type": "FLOAT", + "links": [ + 4208 + ] + } + ], + "title": "Denoise Nose", + "properties": { + "cnr_id": "comfyui-mxtoolkit", + "ver": "0a3857ada2c1780188b9d5abb95f9f3e6561d976", + "Node name for S&R": "mxSlider", + "value": 0.25, + "min": 0, + "max": 1, + "step": 0.01, + "decimals": 2, + "snap": true, + "aux_id": "Smirnov75/ComfyUI-mxToolkit", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + 0, + 0.25, + 1 + ], + "color": "#432", + "bgcolor": "#653", + "shape": 1 + }, + { + "id": 495, + "type": "mxSlider", + "pos": [ + 1190, + 360 + ], + "size": [ + 230, + 30 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "", + "type": "FLOAT", + "links": [ + 4210 + ] + } + ], + "title": "Denoise Nipples", + "properties": { + "cnr_id": "comfyui-mxtoolkit", + "ver": "0a3857ada2c1780188b9d5abb95f9f3e6561d976", + "Node name for S&R": "mxSlider", + "value": 0.35, + "min": 0, + "max": 1, + "step": 0.01, + "decimals": 2, + "snap": true, + "aux_id": "Smirnov75/ComfyUI-mxToolkit", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + 0, + 0.35, + 1 + ], + "color": "#432", + "bgcolor": "#653", + "shape": 1 + }, + { + "id": 497, + "type": "mxSlider", + "pos": [ + 950, + 580 + ], + "size": [ + 230, + 30 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "", + "type": "FLOAT", + "links": [ + 4212 + ] + } + ], + "title": "Denoise Penis", + "properties": { + "cnr_id": "comfyui-mxtoolkit", + "ver": "0a3857ada2c1780188b9d5abb95f9f3e6561d976", + "Node name for S&R": "mxSlider", + "value": 0.35, + "min": 0, + "max": 1, + "step": 0.01, + "decimals": 2, + "snap": true, + "aux_id": "Smirnov75/ComfyUI-mxToolkit", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + 0, + 0.35, + 1 + ], + "color": "#432", + "bgcolor": "#653", + "shape": 1 + }, + { + "id": 496, + "type": "mxSlider", + "pos": [ + 710, + 580 + ], + "size": [ + 230, + 30 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "", + "type": "FLOAT", + "links": [ + 4211 + ] + } + ], + "title": "Denoise Vagina", + "properties": { + "cnr_id": "comfyui-mxtoolkit", + "ver": "0a3857ada2c1780188b9d5abb95f9f3e6561d976", + "Node name for S&R": "mxSlider", + "value": 0.35, + "min": 0, + "max": 1, + "step": 0.01, + "decimals": 2, + "snap": true, + "aux_id": "Smirnov75/ComfyUI-mxToolkit", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + 0, + 0.35, + 1 + ], + "color": "#432", + "bgcolor": "#653", + "shape": 1 + }, + { + "id": 576, + "type": "Mute / Bypass Repeater (rgthree)", + "pos": [ + -240, + 1660 + ], + "size": [ + 247.65780639648438, + 60 + ], + "flags": { + "collapsed": true + }, + "order": 10, + "mode": 4, + "inputs": [ + { + "dir": 3, + "name": "", + "type": "*", + "link": null + } + ], + "outputs": [ + { + "color_off": "#a80", + "color_on": "#Fc0", + "dir": 4, + "name": "OPT_CONNECTION", + "type": "*", + "links": [ + 71975 + ] + } + ], + "title": "Alternative style image", + "properties": { + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "color": "#707070", + "bgcolor": "#5c5c5c", + "shape": 1 + }, + { + "id": 348, + "type": "MarkdownNote", + "pos": [ + -770, + -190 + ], + "size": [ + 260, + 130 + ], + "flags": { + "pinned": true + }, + "order": 11, + "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": 615, + "type": "Mute / Bypass Repeater (rgthree)", + "pos": [ + -240, + 1800 + ], + "size": [ + 247.65780639648438, + 60 + ], + "flags": { + "collapsed": true + }, + "order": 12, + "mode": 4, + "inputs": [ + { + "dir": 3, + "name": "", + "type": "*", + "link": null + } + ], + "outputs": [ + { + "color_off": "#a80", + "color_on": "#Fc0", + "dir": 4, + "name": "OPT_CONNECTION", + "type": "*", + "links": [ + 71974 + ] + } + ], + "title": "Low VRAM for IPAdapter", + "properties": { + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "color": "#707070", + "bgcolor": "#5c5c5c", + "shape": 1 + }, + { + "id": 76, + "type": "UltralyticsDetectorProvider", + "pos": [ + 160, + 1090 + ], + "size": [ + 210, + 78 + ], + "flags": { + "collapsed": false + }, + "order": 13, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "BBOX_DETECTOR", + "type": "BBOX_DETECTOR", + "slot_index": 0, + "links": [ + 171 + ] + }, + { + "name": "SEGM_DETECTOR", + "type": "SEGM_DETECTOR", + "slot_index": 1, + "links": [ + 173 + ] + } + ], + "title": "Penis Ultralytics", + "properties": { + "cnr_id": "comfyui-impact-subpack", + "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8", + "Node name for S&R": "UltralyticsDetectorProvider", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + "segm/ntd11_anime_nsfw_segm_v4_penis.pt" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 37, + "type": "UltralyticsDetectorProvider", + "pos": [ + -60, + 1210 + ], + "size": [ + 210, + 78 + ], + "flags": { + "collapsed": false + }, + "order": 14, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "BBOX_DETECTOR", + "type": "BBOX_DETECTOR", + "slot_index": 0, + "links": [ + 65 + ] + }, + { + "name": "SEGM_DETECTOR", + "type": "SEGM_DETECTOR", + "slot_index": 1, + "links": [ + 180 + ] + } + ], + "title": "Lips Ultralytics", + "properties": { + "cnr_id": "comfyui-impact-subpack", + "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8", + "Node name for S&R": "UltralyticsDetectorProvider", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + "segm/adetailer2dMouth_v10.pt" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 68, + "type": "UltralyticsDetectorProvider", + "pos": [ + 160, + 850 + ], + "size": [ + 210, + 80 + ], + "flags": { + "collapsed": false + }, + "order": 15, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "BBOX_DETECTOR", + "type": "BBOX_DETECTOR", + "slot_index": 0, + "links": [ + 158 + ] + }, + { + "name": "SEGM_DETECTOR", + "type": "SEGM_DETECTOR", + "slot_index": 1, + "links": [ + 160 + ] + } + ], + "title": "Hands Ultralytics", + "properties": { + "cnr_id": "comfyui-impact-subpack", + "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8", + "Node name for S&R": "UltralyticsDetectorProvider", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + "bbox/hand_yolov9c.pt" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 40, + "type": "UltralyticsDetectorProvider", + "pos": [ + 160, + 970 + ], + "size": [ + 210, + 80 + ], + "flags": { + "collapsed": false + }, + "order": 16, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "BBOX_DETECTOR", + "type": "BBOX_DETECTOR", + "slot_index": 0, + "links": [ + 67 + ] + }, + { + "name": "SEGM_DETECTOR", + "type": "SEGM_DETECTOR", + "slot_index": 1, + "links": [ + 178 + ] + } + ], + "title": "Nipples Ultralytics", + "properties": { + "cnr_id": "comfyui-impact-subpack", + "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8", + "Node name for S&R": "UltralyticsDetectorProvider", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + "segm/Nipple-yoro11x_seg.pt" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 46, + "type": "UltralyticsDetectorProvider", + "pos": [ + 160, + 1210 + ], + "size": [ + 210, + 78 + ], + "flags": { + "collapsed": false + }, + "order": 17, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "BBOX_DETECTOR", + "type": "BBOX_DETECTOR", + "slot_index": 0, + "links": [ + 100 + ] + }, + { + "name": "SEGM_DETECTOR", + "type": "SEGM_DETECTOR", + "slot_index": 1, + "links": [ + 111 + ] + } + ], + "title": "Vagina Ultralytics", + "properties": { + "cnr_id": "comfyui-impact-subpack", + "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8", + "Node name for S&R": "UltralyticsDetectorProvider", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + "segm/ntd11_anime_nsfw_segm_v4_pussy.pt" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 42, + "type": "UltralyticsDetectorProvider", + "pos": [ + -60, + 1090 + ], + "size": [ + 210, + 78 + ], + "flags": { + "collapsed": false + }, + "order": 18, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "BBOX_DETECTOR", + "type": "BBOX_DETECTOR", + "slot_index": 0, + "links": [ + 82 + ] + }, + { + "name": "SEGM_DETECTOR", + "type": "SEGM_DETECTOR", + "slot_index": 1, + "links": [ + 179 + ] + } + ], + "title": "Nose Ultalytics", + "properties": { + "cnr_id": "comfyui-impact-subpack", + "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8", + "Node name for S&R": "UltralyticsDetectorProvider", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + "bbox/adetailerNose_.pt" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 364, + "type": "Label (rgthree)", + "pos": [ + -500, + -380 + ], + "size": [ + 801, + 24 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 19, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "____________________________________________________________", + "properties": { + "fontSize": 24, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 583, + "type": "MarkdownNote", + "pos": [ + -280, + -320 + ], + "size": [ + 290, + 260 + ], + "flags": { + "pinned": true + }, + "order": 20, + "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": 21, + "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": 365, + "type": "Label (rgthree)", + "pos": [ + -1140, + -400 + ], + "size": [ + 214.8000030517578, + 24 + ], + "flags": { + "pinned": true, + "allow_interaction": false + }, + "order": 22, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Manual / Mini-Guide", + "properties": { + "fontSize": 24, + "fontFamily": "Arial", + "fontColor": "#ffffff", + "textAlign": "left", + "backgroundColor": "transparent", + "padding": 0, + "borderRadius": 0, + "angle": 0, + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "color": "#fff0", + "bgcolor": "#fff0" + }, + { + "id": 505, + "type": "MarkdownNote", + "pos": [ + 1190, + -130 + ], + "size": [ + 230, + 230 + ], + "flags": {}, + "order": 23, + "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": 24, + "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": 863, + "type": "Reroute", + "pos": [ + -760, + 1660 + ], + "size": [ + 75, + 26 + ], + "flags": {}, + "order": 179, + "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": 854, + "type": "MarkdownNote", + "pos": [ + -70, + 1340 + ], + "size": [ + 680, + 190 + ], + "flags": { + "pinned": true + }, + "order": 25, + "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": 26, + "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": 27, + "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 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"id": 832, + "type": "Power Lora Loader (rgthree)", + "pos": [ + 620, + 1090 + ], + "size": [ + 210, + 200 + ], + "flags": {}, + "order": 176, + "mode": 0, + "inputs": [ + { + "dir": 3, + "name": "model", + "type": "MODEL", + "link": 106969 + }, + { + "dir": 3, + "name": "clip", + "type": "CLIP", + "link": 106960 + } + ], + "outputs": [ + { + "dir": 4, + "name": "MODEL", + "shape": 3, + "type": "MODEL", + "links": [ + 95990 + ] + }, + { + "dir": 4, + "name": "CLIP", + "shape": 3, + "type": "CLIP", + "links": [ + 95991, + 106953 + ] + } + ], + "title": "Nipples LoRA", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "110e4ef1dbf2ea20ec39ae5a737bd5e56d4e54c2", + "Show Strengths": "Single Strength", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.0.1" + } + }, + "widgets_values": [ + {}, + { + "type": "PowerLoraLoaderHeaderWidget" + }, + {}, + "" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 829, + "type": "Power Lora Loader (rgthree)", + "pos": [ + 840, + 850 + ], + "size": [ + 210, + 200 + ], + "flags": {}, + "order": 173, + "mode": 0, + "inputs": [ + { + "dir": 3, + "name": "model", + "type": "MODEL", + "link": 106971 + }, + { + "dir": 3, + "name": "clip", + "type": "CLIP", + "link": 106963 + } + ], + "outputs": [ + { + "dir": 4, + "name": "MODEL", + "shape": 3, + "type": "MODEL", + "links": [ + 95983 + ] + }, + { + "dir": 4, + "name": "CLIP", + "shape": 3, + "type": "CLIP", + "links": [ + 95984, + 106954 + ] + } + ], + "title": "Nose LoRA", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "110e4ef1dbf2ea20ec39ae5a737bd5e56d4e54c2", + "Show Strengths": "Single Strength", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.0.1" + } + }, + "widgets_values": [ + {}, + { + "type": "PowerLoraLoaderHeaderWidget" + }, + {}, + "" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 830, + "type": "Power Lora Loader (rgthree)", + "pos": [ + 1060, + 850 + ], + "size": [ + 210, + 200 + ], + "flags": {}, + "order": 174, + "mode": 0, + "inputs": [ + { + "dir": 3, + "name": "model", + "type": "MODEL", + "link": 106974 + }, + { + "dir": 3, + "name": "clip", + "type": "CLIP", + "link": 106965 + } + ], + "outputs": [ + { + "dir": 4, + "name": "MODEL", + "shape": 3, + "type": "MODEL", + "links": [ + 95986 + ] + }, + { + "dir": 4, + "name": "CLIP", + "shape": 3, + "type": "CLIP", + "links": [ + 95987, + 106955 + ] + } + ], + "title": "Lips LoRA", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "110e4ef1dbf2ea20ec39ae5a737bd5e56d4e54c2", + "Show Strengths": "Single Strength", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.0.1" + } + }, + "widgets_values": [ + {}, + { + "type": "PowerLoraLoaderHeaderWidget" + }, + {}, + "" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 827, + "type": "Power Lora Loader (rgthree)", + "pos": [ + 400, + 850 + ], + "size": [ + 210, + 200 + ], + "flags": {}, + "order": 171, + "mode": 0, + "inputs": [ + { + "dir": 3, + "name": "model", + "type": "MODEL", + "link": 106967 + }, + { + "dir": 3, + "name": "clip", + "type": "CLIP", + "link": 106958 + } + ], + "outputs": [ + { + "dir": 4, + "name": "MODEL", + "shape": 3, + "type": "MODEL", + "links": [ + 95978 + ] + }, + { + "dir": 4, + "name": "CLIP", + "shape": 3, + "type": "CLIP", + "links": [ + 95979, + 106950 + ] + } + ], + "title": "Face LoRA", + "properties": { + "cnr_id": "rgthree-comfy", + "ver": "110e4ef1dbf2ea20ec39ae5a737bd5e56d4e54c2", + "Show Strengths": "Single Strength", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.0.1" + } + }, + "widgets_values": [ + {}, + { + "type": "PowerLoraLoaderHeaderWidget" + }, + {}, + "" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 842, + "type": "Power Lora Loader (rgthree)", + "pos": [ + -440, + 1300 + ], + "size": [ + 350, + 220 + ], + "flags": {}, + "order": 125, + "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": { + "cnr_id": "rgthree-comfy", + "ver": "110e4ef1dbf2ea20ec39ae5a737bd5e56d4e54c2", + "Show Strengths": "Single Strength", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.0.1" + } + }, + "widgets_values": [ + {}, + { + "type": "PowerLoraLoaderHeaderWidget" + }, + {}, + "" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 895, + "type": "MarkdownNote", + "pos": [ + 320, + -320 + ], + "size": [ + 370, + 260 + ], + "flags": { + "pinned": true + }, + "order": 40, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Color Code", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.4.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Cyan = Enable/Disable features
\nBlue = Load model/checkpoint/lora/image
\nYellow = Set generation values
\nGreen = Positive prompts
\nRed = Negative prompts
\nPale Blue = Previews
\nBlack = Info/Tutorial
\nBrown = Detailer" + ], + "color": "#222", + "bgcolor": "#000", + "shape": 1 + }, + { + "id": 430, + "type": "mxSlider", + "pos": [ + 1450, + 160 + ], + "size": [ + 370, + 30 + ], + "flags": {}, + "order": 41, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "", + "type": "FLOAT", + "links": [ + 3185 + ] + } + ], + "title": "IPAdapter Style Strength", + "properties": { + "cnr_id": "comfyui-mxtoolkit", + "ver": "0a3857ada2c1780188b9d5abb95f9f3e6561d976", + "Node name for S&R": "mxSlider", + "value": 0.85, + "min": 0, + "max": 5, + "step": 0.01, + "decimals": 2, + "snap": true, + "aux_id": "Smirnov75/ComfyUI-mxToolkit", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + 0, + 0.85, + 1 + ], + "color": "#432", + "bgcolor": "#653", + "shape": 1 + }, + { + "id": 925, + "type": "PreviewImage", + "pos": [ + 3440, + 850 + ], + "size": [ + 210, + 260 + ], + "flags": {}, + "order": 203, + "mode": 4, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 107105 + } + ], + "outputs": [], + "title": "pre hires fix", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.59", + "Node name for S&R": "PreviewImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [], + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": 1 + }, + { + "id": 927, + "type": "MarkdownNote", + "pos": [ + 3660, + 850 + ], + "size": [ + 260, + 260 + ], + "flags": {}, + "order": 42, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Inpaint Debug Info", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.3", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "### ControlNet Preview\nShows you the used pose during the ControlNet-Process. If the image is being pre-processed it'll show a pre-processed pose.\n\n### pre hires fix\nFor debugging purposes this shows you the image before applying hires-fix (if hires fix is activated)" + ], + "color": "#222", + "bgcolor": "#000", + "shape": 1 + }, + { + "id": 574, + "type": "LoadImage", + "pos": [ + 1450, + 230 + ], + "size": [ + 370, + 530 + ], + "flags": {}, + "order": 43, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 7255 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": null + } + ], + "title": "Alternative style image", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.33", + "Node name for S&R": "LoadImage", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + "example.png", + "image" + ], + "color": "#233", + "bgcolor": "#355", + "shape": 1 + }, + { + "id": 926, + "type": "PreviewImage", + "pos": [ + 3220, + 850 + ], + "size": [ + 210, + 260 + ], + "flags": {}, + "order": 204, + "mode": 4, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 107134 + } + ], + "outputs": [], + "title": "ControlNet Preview", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.59", + "Node name for S&R": "PreviewImage", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [], + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": 1 + }, + { + "id": 957, + "type": "MarkdownNote", + "pos": [ + 4560, + -170 + ], + "size": [ + 280, + 490 + ], + "flags": { + "pinned": true + }, + "order": 44, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Sampler/Model/IPAdapter Info", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.4.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## How to use a different Sampler/Model or IPAdapter with Inpainting\n\n#### Checkpoint (Model)\nTo change the checkpoint/model used during Inpainting you'll have to change the model in the left side of the workflow that is responsible for the TXT2IMG part of this workflow.\nYou can find it in the second row in the \"Model Backend\"-Group.
*It currently does not work with the Refiner.*\n\n---\n\n#### Sampler\nTo use different sampler settings than the ones you've used during the TXT2IMG process, simply activate the \"Use different Sampler Settings?\" switch in the \"Alternative Sampler\"-Group to the left of this note here. In this group you can set different sampler settings than the one used during the image generation process to save yourself from switching back and forth if you'd like to use different settings for each process.\n\n---\n\n#### IPAdapter\nJust like the checkpoint(model) you'll have to activate it on the left side of the workflow inside the \"IPAdapter / ControlNet\"-Group to not clutter up the workflow even further. Don't forget to adapt the settings and change the \"Load Style Image\" in the \"IPAdapter (Optional)\"-Group. " + ], + "color": "#222", + "bgcolor": "#000", + "shape": 1 + }, + { + "id": 951, + "type": "MarkdownNote", + "pos": [ + 4850, + -170 + ], + "size": [ + 370, + 940 + ], + "flags": { + "pinned": true + }, + "order": 45, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "How to use Manual Inpainting", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.4.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## Group Explanation\n\n#### Manual Inpainting\nActivating the \"**Inpaint?**\"- Switch will change the mode of this workflow from TXT2IMG generation to inpainting.
\nOnce activated a new image will be created based on the image and mask provided in the \"Load last generated image\".

\nThe \"**Load last generated image**\"-Node will automatically load the last generated image from your output folder, alternatively you can also click \"choose file to upload\" to use a different/older one instead.
\nThe first step in using the Inpainting part is to rightclick the image and clicking on \"Open in MaskEditor | Image Canvas\".
\nThere you'll use the default tool *(Masking tool, top left - first symbol)* to draw a mask over the area you'd like to inpaint. Once done you'll click save in the topbar.
You'll now see that your original image in the \"Load last generated image\"-Node has a blacked out area.
This area will be inpainted.
\n**If you want to you can NOW, after drawing the mask, deactivate \"Auto-refresh after generation\" to prevent the image and mask from being replaced once the new image has been generated. Otherwise your drawn mask will disappear once the new image has been saved.**

\nThe \"**Denoise**\"-Slider decides how much of the original will be replaced or how much of it's original form is maintained.
\nSet a higher value if you're struggling to overwrite details of the original.
\nHigh value = overwrite more of original(too high will result in bad proportions)
\nLow value = respect original's form and colors
\nDefault value = 55\n\n**Context Factor** decides by what factor the area OUTSIDE of your mask is being considered. I recommend settings the value somewhere around 3.0 to give the inpainting some context of what's around your masked area. If you try to inpaint very small areas increase the value, if you inpaint a large area decrease the value instead.
\nOnce you generate your inpainting image you can see a preview of the full context area in the \"pre hires fix\"-node inside the \"Inpaint Debug\"-Group.\n

\nThe **Mask Blend Pixels** value decides how many pixels are used to blur the edges of the newly inpainted area. Smaller values mean sharper edges between the original image and the inpainted area.\n

\nThe **Seed**, **Positive** (prompt) and **Negative** (prompt) fulfill the same task as they do during normal TXT2IMG generation.\n\n\n---\n\n#### Quality Improvement\nActivating the \"**Use Hi-Res Fix? (Recommended)**\"-Switch will do a re-sampling of the full inpaint(+ context) area with the denoise value set in the \"**Hi-Res Fix Denoise**\"-Node.
Make sure to have the denoise value to a low value to make sure that the image stays close to the inpainted image.
\nThis will improve quality on high resolution image inpainting and lead to generally better results. In the \"**Inpaint Debug**\"-Group you can find a preview of how your inpaint looks before the hires fix is applied.

\nDuring inpainting the mask will be upscaled, right before applying hires fix(if selected), to garantuee a high quality output. If you want to use a different upscale model or factor than during your initial image generation, you can select different ones in the \"**Upscale Model**\"-Node by activating \"**Use different Upscale Model? ↓**\".
\nBefore the area is pasted back into the original, it'll be downscaled/resized again to fit exactly into this area, so you don't have to worry about finding the right factor. This is solely for increasing the output quality. \n\n---\n\n#### Alternative Sampler\nCheck the \"Sampler/Model/IPAdapter Info\"-Group to the top left of this note.\n" + ], + "color": "#222", + "bgcolor": "#000", + "shape": 1 + }, + { + "id": 498, + "type": "ShowText|pysssss", + "pos": [ + 2400, + 850 + ], + "size": [ + 790, + 110 + ], + "flags": { + "collapsed": false + }, + "order": 160, + "mode": 0, + "inputs": [ + { + "name": "text", + "type": "STRING", + "link": 84541 + } + ], + "outputs": [ + { + "name": "STRING", + "shape": 6, + "type": "STRING", + "links": null + } + ], + "title": "Show example eye prompt", + "properties": { + "cnr_id": "comfyui-custom-scripts", + "ver": "aac13aa7ce35b07d43633c3bbe654a38c00d74f5", + "Node name for S&R": "ShowText|pysssss", + "aux_id": "pythongosssss/ComfyUI-Custom-Scripts", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [], + "shape": 1 + }, + { + "id": 231, + "type": "PreviewImage", + "pos": [ + 1880, + 1230 + ], + "size": [ + 250, + 258 + ], + "flags": { + "collapsed": true + }, + "order": 155, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 107046 + } + ], + "outputs": [], + "title": "Eyes", + "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": [], + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": 1 + }, + { + "id": 907, + "type": "vsLinx_BypassOnBool", + "pos": [ + 1860, + 1790 + ], + "size": [ + 313.066650390625, + 58 + ], + "flags": { + "collapsed": true + }, + "order": 191, + "mode": 0, + "inputs": [ + { + "name": "any", + "type": "IMAGE", + "link": 107045 + }, + { + "name": "bypass", + "type": "BOOLEAN", + "widget": { + "name": "bypass" + }, + "link": 107035 + } + ], + "outputs": [ + { + "label": "IMAGE", + "name": "any", + "type": "IMAGE", + "links": [ + 107046 + ] + } + ], + "title": "Eyes bypass", + "properties": { + "cnr_id": "comfyui-vslinx-nodes", + "ver": "1.0.1", + "Node name for S&R": "vsLinx_BypassOnBool", + "aux_id": "vslinx/ComfyUI-vslinx-nodes", + "ue_properties": { + "widget_ue_connectable": { + "bypass": true + }, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + false + ], + "color": "#707070", + "bgcolor": "#5c5c5c", + "shape": 1 + }, + { + "id": 910, + "type": "vsLinx_BypassOnBool", + "pos": [ + 1860, + 1830 + ], + "size": [ + 313.066650390625, + 58 + ], + "flags": { + "collapsed": true + }, + "order": 194, + "mode": 0, + "inputs": [ + { + "name": "any", + "type": "IMAGE", + "link": 107047 + }, + { + "name": "bypass", + "type": "BOOLEAN", + "widget": { + "name": "bypass" + }, + "link": 107036 + } + ], + "outputs": [ + { + "label": "IMAGE", + "name": "any", + "type": "IMAGE", + "links": [ + 107048 + ] + } + ], + "title": "Nose bypass", + "properties": { + "cnr_id": "comfyui-vslinx-nodes", + "ver": "1.0.1", + "Node name for S&R": "vsLinx_BypassOnBool", + "aux_id": "vslinx/ComfyUI-vslinx-nodes", + "ue_properties": { + "widget_ue_connectable": { + "bypass": true + }, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + false + ], + "color": "#707070", + "bgcolor": "#5c5c5c", + "shape": 1 + }, + { + "id": 908, + "type": "vsLinx_BypassOnBool", + "pos": [ + 1860, + 1870 + ], + "size": [ + 313.066650390625, + 58 + ], + "flags": { + "collapsed": true + }, + "order": 192, + "mode": 0, + "inputs": [ + { + "name": "any", + "type": "IMAGE", + "link": 107049 + }, + { + "name": "bypass", + "type": "BOOLEAN", + "widget": { + "name": "bypass" + }, + "link": 107038 + } + ], + "outputs": [ + { + "label": "IMAGE", + "name": "any", + "type": "IMAGE", + "links": [ + 107050 + ] + } + ], + "title": "Lips bypass", + "properties": { + "cnr_id": "comfyui-vslinx-nodes", + "ver": "1.0.1", + "Node name for S&R": "vsLinx_BypassOnBool", + "aux_id": "vslinx/ComfyUI-vslinx-nodes", 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"STRING", + "type": "STRING", + "links": [ + 107150, + 107158 + ] + } + ], + "title": "Eyes prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.5.1", + "Node name for S&R": "PrimitiveStringMultiline", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + "brown eyes, " + ], + "color": "#232", + "bgcolor": "#353", + "shape": 1 + }, + { + "id": 973, + "type": "PrimitiveStringMultiline", + "pos": [ + 1190, + 210 + ], + "size": [ + 230, + 110 + ], + "flags": {}, + "order": 70, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 107151, + 107159 + ] + } + ], + "title": "Nose prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.5.1", + "Node name for S&R": "PrimitiveStringMultiline", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + "nose, " + ], + "color": "#232", + "bgcolor": "#353", + "shape": 1 + }, + { + "id": 974, + "type": "PrimitiveStringMultiline", + "pos": [ + 710, + 430 + ], + "size": [ + 230, + 110 + ], + "flags": {}, + "order": 71, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 107152, + 107160 + ] + } + ], + "title": "Lips prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.5.1", + "Node name for S&R": "PrimitiveStringMultiline", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + "lips, " + ], + "color": "#232", + "bgcolor": "#353", + "shape": 1 + }, + { + "id": 975, + "type": "PrimitiveStringMultiline", + "pos": [ + 950, + 430 + ], + "size": [ + 230, + 110 + ], + "flags": {}, + "order": 72, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 107153, + 107161 + ] + } + ], + "title": "Hands prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.5.1", + "Node name for S&R": "PrimitiveStringMultiline", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + "fingernails, " + ], + "color": "#232", + "bgcolor": "#353", + "shape": 1 + }, + { + "id": 978, + "type": "PrimitiveStringMultiline", + "pos": [ + 950, + 650 + ], + "size": [ + 230, + 110 + ], + "flags": {}, + "order": 73, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 107156, + 107164 + ] + } + ], + "title": "Penis prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.5.1", + "Node name for S&R": "PrimitiveStringMultiline", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + "penis, " + ], + "color": "#232", + "bgcolor": "#353", + "shape": 1 + }, + { + "id": 977, + "type": "PrimitiveStringMultiline", + "pos": [ + 710, + 650 + ], + "size": [ + 230, + 110 + ], + "flags": {}, + "order": 74, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 107155, + 107163 + ] + } + ], + "title": "Vagina prompt", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.5.1", + "Node name for S&R": "PrimitiveStringMultiline", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + "pussy, " + ], + "color": "#232", + "bgcolor": "#353", + "shape": 1 + }, + { + "id": 985, + "type": "PrimitiveStringMultiline", + "pos": [ + 3620, + 560 + ], + "size": [ + 300, + 200 + ], + "flags": {}, + "order": 75, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "STRING", + "type": "STRING", + "links": [ + 107167 + ] + } + ], + "title": "Negative", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.5.1", + "Node name for S&R": "PrimitiveStringMultiline", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + "lowres, (worst quality, low quality, bad anatomy, bad hands:1.3), abstract, signature, " + ], + "color": "#322", + "bgcolor": "#533", + "shape": 1 + }, + { + "id": 987, + "type": "PrimitiveBoolean", + "pos": [ + -440, + 1130 + ], + "size": [ + 350, + 58 + ], + "flags": {}, + "order": 76, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "BOOLEAN", + "type": "BOOLEAN", + "links": [ + 107170 + ] + } + ], + "title": "Is V-Pred Model", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.5.1", + "Node name for S&R": "PrimitiveBoolean", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + false + ], + "color": "#233", + "bgcolor": "#355", + "shape": 1 + }, + { + "id": 986, + "type": "PrimitiveBoolean", + "pos": [ + -760, + 1030 + ], + "size": [ + 290, + 60 + ], + "flags": {}, + "order": 77, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "BOOLEAN", + "type": "BOOLEAN", + "links": [ + 107169 + ] + } + ], + "title": "Is V-Pred Model", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.5.1", + "Node name for S&R": "PrimitiveBoolean", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + false + ], + "color": "#233", + "bgcolor": "#355", + "shape": 1 + }, + { + "id": 868, + "type": "easy anythingIndexSwitch", + "pos": [ + 350, + 1730 + ], + "size": [ + 270, + 98 + ], + "flags": { + "collapsed": true + }, + "order": 138, + "mode": 4, + "inputs": [ + { + "name": "value0", + "shape": 7, + "type": "*", + "link": 107172 + }, + { + "name": "value1", + "shape": 7, + "type": "*", + "link": 97456 + }, + { + "name": "value2", + "type": "*", + "link": null + } + ], + "outputs": [ + { + "name": "value", + "type": "*", + "links": [ + 97457 + ] + } + ], + "title": "Low VRAM res Switch", + "properties": { + "cnr_id": "comfyui-easy-use", + "ver": "11794f7d718dc38dded09e677817add796ce0234", + "Node name for S&R": "easy anythingIndexSwitch", + "ue_properties": { + "widget_ue_connectable": { + "index": true + }, + "version": "7.0.1" + } + }, + "widgets_values": [ + 1 + ], + "color": "#707070", + "bgcolor": "#5c5c5c", + "shape": 1 + }, + { + "id": 989, + "type": "INTConstant", + "pos": [ + -760, + 1810 + ], + "size": [ + 270, + 58 + ], + "flags": { + "collapsed": true + }, + "order": 78, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "value", + "type": "INT", + "links": [ + 107171, + 107172 + ] + } + ], + "title": "Default resolution", + "properties": { + "cnr_id": "comfyui-kjnodes", + "ver": "557edbae16975b718672c70a50f1d35e59fc4c01", + "Node name for S&R": "INTConstant", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + 1024 + ], + "color": "#707070", + "bgcolor": "#5c5c5c", + "shape": 1 + }, + { + "id": 323, + "type": "MarkdownNote", + "pos": [ + -1150, + -320 + ], + "size": [ + 370, + 2300 + ], + "flags": { + "pinned": true + }, + "order": 79, + "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 0.05 and 0.35 is recommended.
\nIt’s recommended to use \"Color Fix\" alongside it to preserve the original colors, as resampling can sometimes wash out contrast.
\nThe Color Fix Strength value decides how strong the color correction is after the hires fix, it's recommended to keep it low as to not introduce artifacts in darker areas.
\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": 635, + "type": "PathchSageAttentionKJ", + "pos": [ + -760, + 1430 + ], + "size": [ + 290, + 82 + ], + "flags": {}, + "order": 123, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 76831 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 97100 + ] + } + ], + "title": "Patch Sage Attention", + "properties": { + "cnr_id": "comfyui-kjnodes", + "ver": "ad37ce656c13e9abea002b46e3a89be3dba32355", + "Node name for S&R": "PathchSageAttentionKJ", + "aux_id": "kijai/ComfyUI-KJNodes", + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + "disabled", + false + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 990, + "type": "MarkdownNote", + "pos": [ + -770, + 1870 + ], + "size": [ + 370, + 110 + ], + "flags": { + "pinned": true + }, + "order": 80, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Pose Collections", + "properties": { + "ue_properties": { + "version": "7.0.1", + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + "### Civitai has a large amount of available poses collections you can browse through the Poses filter [here](https://civitai.com/search/models?modelType=Poses&sortBy=models_v9)." + ], + "color": "#222", + "bgcolor": "#000", + "shape": 1 + }, + { + "id": 864, + "type": "3b44c24d-cafa-4957-bb1d-bb05cd7d599a", + "pos": [ + 350, + 1610 + ], + "size": [ + 180, + 50 + ], + "flags": { + "collapsed": true + }, + "order": 134, + "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": { + "proxyWidgets": [], + "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": 917, + "type": "vsLinx_BypassOnBool", + "pos": [ + 2180, + 1460 + ], + "size": [ + 313.06667175292966, + 58 + ], + "flags": { + "collapsed": true + }, + "order": 196, + "mode": 0, + "inputs": [ + { + "name": "any", + "type": "IMAGE", + "link": 107104 + }, + { + "name": "bypass", + "type": "BOOLEAN", + "widget": { + "name": "bypass" + }, + "link": 107008 + } + ], + "outputs": [ + { + "label": "IMAGE", + "name": "any", + "type": "IMAGE", + "links": [ + 107105 + ] + } + ], + "title": "bypass", + "properties": { + "cnr_id": "comfyui-vslinx-nodes", + "ver": "6c0b0f9a47be20b80d10465e8b1f92cc66f59900", + "Node name for S&R": "vsLinx_BypassOnBool", + "aux_id": "Iyanzl/ComfyUI-vslinx-nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.2.2" + } + }, + "widgets_values": [ + true + ], + "color": "#707070", + "bgcolor": "#5c5c5c", + "shape": 1 + }, + { + "id": 913, + "type": "vsLinx_BypassOnBool", + "pos": [ + 2180, + 1720 + ], + "size": [ + 313.06667175292966, + 58 + ], + "flags": { + "collapsed": true + }, + "order": 195, + "mode": 0, + "inputs": [ + { + "name": "any", + "type": "IMAGE", + "link": 107003 + }, + { + "name": "bypass", + "type": "BOOLEAN", + "widget": { + "name": "bypass" + }, + "link": 107004 + } + ], + "outputs": [ + { + "label": "IMAGE", + "name": "any", + "type": "IMAGE", + "links": [ + 107134 + ] + } + ], + "title": "Preview bypass", + "properties": { + "cnr_id": "comfyui-vslinx-nodes", + "ver": "1.1.1", + "Node name for S&R": "vsLinx_BypassOnBool", + "aux_id": "vslinx/ComfyUI-vslinx-nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": 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+ "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.2.2" + } + }, + "widgets_values": [ + false + ], + "color": "#707070", + "bgcolor": "#5c5c5c", + "shape": 1 + }, + { + "id": 871, + "type": "MarkdownNote", + "pos": [ + 1770, + 850 + ], + "size": [ + 620, + 340 + ], + "flags": {}, + "order": 83, + "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": 678, + "type": "3c8dca62-a8b8-4d8e-ba3a-703a9a8226a8", + "pos": [ + 150, + 1740 + ], + "size": [ + 249.95000457763672, + 54 + ], + "flags": { + "collapsed": true + }, + "order": 167, + "mode": 0, + "inputs": [ + { + "label": "image (upscaled)", + "name": "image_ref", + "type": "IMAGE", + "link": 107188 + }, + { + "label": "image (hires)", + "name": "image_target", + "type": "IMAGE", + "link": 85484 + }, + { + "name": "strength", + "type": "FLOAT", + "widget": { + "name": "strength" + }, + "link": 106996 + } + ], + "outputs": [ + { + "label": "image (color fixed)", + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 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"vsLinx_UpscaleByFactorWithModel", + "aux_id": "Iyanzl/ComfyUI-vslinx-nodes", + "ue_properties": { + "widget_ue_connectable": {}, + "input_ue_unconnectable": {}, + "version": "7.5.2" + } + }, + "widgets_values": [ + "nearest-exact", + 2 + ], + "color": "#707070", + "bgcolor": "#5c5c5c", + "shape": 1 + }, + { + "id": 225, + "type": "PreviewImage", + "pos": [ + 1990, + 1230 + ], + "size": [ + 260, + 246 + ], + "flags": { + "collapsed": true + }, + "order": 149, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 107048 + } + ], + "outputs": [], + "title": "Nose", + "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": [], + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": 1 + }, + { + "id": 226, + "type": "PreviewImage", + "pos": [ + 2100, + 1230 + ], + "size": [ + 260, + 246 + ], + "flags": { + "collapsed": true + }, + "order": 150, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 107050 + } + ], + "outputs": [], + "title": "Lips", + "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": [], + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": 1 + }, + { + "id": 928, + "type": "MarkdownNote", + "pos": [ + 3940, + 810 + ], + "size": [ + 1280, + 490 + ], + "flags": { + "pinned": true + }, + "order": 84, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "ControlNet Tutorial ↑", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.3", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "### Left Column | Models & Settings\nThe \"Inpaint ControlNet\"-Group offers you more control over what is generated in the masked area.
\nFirst and most importantly, you'll have to download and match the correct **ControlNet Model** with a fitting PreProcessor to make use of the ControlNet functionality.
\nThis means you'll have to use, for example, a Canny ControlNet Model with a Canny PreProcessor etc.
\nYou can find the necessary files for Illustrious/NoobAI checkpoints [here](https://civitai.com/articles/15480#files:), it might also be worth reading the guide as some of the things in my guide for the IMG2IMG workflow are also applicable here.
\nIf you don't have much experience with ControlNet you should leave the **ControlNet Start** and **ControlNet End Percent**-Sliders alone and play around with the **ControlNet Strength**-slider instead.
If the generated area does not match the \"skeleton\" visible in the \"ControlNet Preview\"-Node in the \"Inpaint Debug\"-Group to the left, you might want to increase the strength of the ControlNet.
\nIf you want a bit more leeway of creativity you can lower the amount to have a bit more freedom.
\nI recommend a value of around 0.50-0.60 for best results, it basically means as much as \"Prompt and ControlNet are important, but ControlNet is a little bit more deciding\".
If you're still getting bad results you'll have to change your inpainting prompt, make sure to ONLY prompt what is supposed to be seen in __your drawn__ mask.\n### Middle Column | Activation Switches & Modes\n| Switch | Functionality |\n|---------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| Use ControlNet? | Activates the use of ControlNet, by default activating this functionality alone will take your masked area and then preprocess it.
The preprocessed pose will then be used exclusively in the masked area.
Use ControlNet alone if you're already happy with the shape and/or form of the original and would only like to touch up on things or change colors etc. |\n| Use External Pose? | If activated **in combination** with \"Use ControlNet?\" it'll use an external image instead of the original image that is being inpainted.
By default and without activating the \"Use Pre-Processing?\"-Function below it'll take the image as if it was already a pre-processed pose.
If used without the \"Fit pose into mask?\"-Function it'll fit your pose into the full image and **ONLY** inpaint the area of the pose that overlaps with your mask.
So use this only if you have 2 very similar images/poses and want to take the detail from a different one than the original. |\n| Use Pre-Processing? | If activated in combination with \"Use External Pose?\", and \"Use ControlNet?\" of course, it'll pre-process the external Pose image and create a pose based out of it.
You will see the preview of that in the \"ControlNet Preview\"-Node in the \"Inpaint Debug\"-Group to the left.
If used without the \"Fit pose into mask?\"-Function it'll fit your pose into the full image and **ONLY** inpaint the area of the pose that overlaps with your mask. |\n| Fit pose into mask? | If this is activated in combination with either \"Use External Pose?\" and/or \"Use Pre-Processing?\" it'll force the full provided external pose into a bbox(bounding box) of your drawn mask.
You can see a preview of this,after executing the workflow with the option enabled, in the \"ControlNet Preview\"-Node inside the \"Inpaint Debug\"-Group to the left.
You can also check [this](https://private-user-images.githubusercontent.com/51156944/500046011-8c4d8a46-42e9-4da0-ab72-7d00b5bd7d8f.gif?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.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.yuF-lanSNSwGTWngKp1RWtMXoGUVdLf2U897xOxsFWA) image to see what it could look like when you use this function to add a waving hand to your original image. |\n\n### Third Column | External ControlNet Image\nSelf explainatory - here you can 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"outputs": [], + "title": "Pre-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": {}, + "input_ue_unconnectable": {} + } + }, + "widgets_values": [], + "color": "#2a363b", + "bgcolor": "#3f5159", + "shape": 1 + }, + { + "id": 745, + "type": "vsLinx_LoadSelectedImagesList", + "pos": [ + -760, + 20 + ], + "size": [ + 370, + 740 + ], + "flags": { + "collapsed": false + }, + "order": 109, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "images", + "shape": 6, + "type": "IMAGE", + "links": [ + 98757 + ] + }, + { + "name": "filenames", + "shape": 6, + "type": "STRING", + "links": null + } + ], + "title": "Load (multiple) Images", + "properties": { + "cnr_id": "comfyui-vslinx-nodes", + "ver": "da733e713177116d8f8abcc9c7a6a31d037994e2", + "Node name for S&R": "vsLinx_LoadSelectedImagesList", + "max_images": 0, + "fail_if_empty": true, + "filename_handling": "full filename", + "aux_id": "vslinx/ComfyUI-vslinx-nodes", + "selected_paths": "[\"example.png\"]", + "ue_properties": { + "widget_ue_connectable": { + "selected_paths": true + }, + "version": "7.0.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + null, + "[\"example.png\"]", + true, + "full filename" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 326, + "type": "MarkdownNote", + "pos": [ + -500, + -320 + ], + "size": [ + 210, + 260 + ], + "flags": { + "pinned": true + }, + "order": 110, + "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-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-vslinx-nodes](https://github.com/vslinx/ComfyUI-vslinx-nodes)
\n[ComfyUI-Inpaint-CropAndStitch](https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch)
\n[ComfyUI_UltimateSDUpscale](https://github.com/ssitu/ComfyUI_UltimateSDUpscale)
\n[comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
\n[ComfyUI-WD14-Tagger](https://github.com/pythongosssss/ComfyUI-WD14-Tagger)
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\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": 858, + "type": "MarkdownNote", + "pos": [ + 1590, + 1340 + ], + "size": [ + 250, + 570 + ], + "flags": { + "collapsed": false, + "pinned": true + }, + "order": 115, + "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. 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