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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": 467, + "type": "Primitive string multiline [Crystools]", + "pos": [ + 1670, + 140 + ], + "size": [ + 230, + 110 + ], + "flags": {}, + "order": 50, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "string", + "type": "STRING", + "links": [ + 4168, + 4169 + ] + } + ], + "title": "Eyes prompt", + "properties": { + "cnr_id": "comfyui-crystools", + "ver": "576b44b9b79e3bf4b5d50457a28924d89a42e7e1", + "Node name for S&R": "Primitive string multiline [Crystools]", + "widget_ue_connectable": {} + }, + "widgets_values": [ + "brown eyes" + ], + "color": "#232", + "bgcolor": "#353", + "shape": 1 + }, + { + "id": 621, + "type": "Primitive integer [Crystools]", + "pos": [ + 2650, + 1460 + ], + "size": [ + 270, + 58 + ], + "flags": { + "collapsed": true + }, + "order": 51, + "mode": 4, + "inputs": [], + "outputs": [ + { + 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+ "link": 3926 + }, + { + "dir": 3, + "label": " ", + "name": "Vagina prompt", + "type": "*", + "link": 3927 + }, + { + "dir": 3, + "label": " ", + "name": "Penis prompt", + "type": "*", + "link": 3928 + }, + { + "dir": 3, + "label": " ", + "name": "", + "type": "*", + "link": null + } + ], + "outputs": [ + { + "dir": 4, + "label": " ", + "name": "OPT_CONNECTION", + "type": "*", + "links": null + } + ], + "title": "Detail Prompt Control", + "properties": { + "toggleRestriction": "default", + "collapse_connections": true, + "widget_ue_connectable": {} + }, + "color": "#432", + "bgcolor": "#653", + "shape": 1 + }, + { + "id": 519, + "type": "workflow>ControlNet Models", + "pos": [ + 2170, + 190 + ], + "size": [ + 380, + 102 + ], + "flags": {}, + "order": 68, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "CONTROL_NET", + "type": "CONTROL_NET", + "links": [ + 5429 + ] + }, + { + "name": "preprocessor", + "type": "COMBO", + "links": [ + 5444 + ] + } + ], + "properties": { + "Node name for S&R": "workflow>ControlNet Models", + "widget_ue_connectable": {} + }, + "widgets_values": [ + "noobaiXLControlnet_epsCanny.safetensors", + "PyraCannyPreprocessor" + ], + "color": "#223", + "bgcolor": "#335", + "shape": 1 + }, + { + "id": 553, + "type": "Primitive string multiline [Crystools]", + "pos": [ + 2170, + 580 + ], + "size": [ + 380, + 180 + ], + "flags": { + "collapsed": false + }, + "order": 69, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "string", + "type": "STRING", + "links": [ + 71874 + ] + } + ], + "title": "Exclude tags from interrogation", + "properties": { + "cnr_id": "comfyui-crystools", + "ver": "576b44b9b79e3bf4b5d50457a28924d89a42e7e1", + "Node name for S&R": "Primitive string multiline [Crystools]", + "widget_ue_connectable": {} + }, + "widgets_values": [ + "" + ], + "color": "#332922", + "bgcolor": "#593930", + "shape": 1 + }, + { + "id": 326, + "type": "MarkdownNote", + "pos": [ + -500, + -240 + ], + "size": [ + 210, + 230 + ], + "flags": { + "pinned": true + }, + "order": 70, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Nodes", + "properties": { + "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[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, + -240 + ], + "size": [ + 290, + 230 + ], + "flags": { + "pinned": true + }, + "order": 71, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "ControlNet Models", + "properties": { + "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, + -240 + ], + "size": [ + 290, + 230 + ], + "flags": { + "pinned": true + }, + "order": 72, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "IPAdapter Model", + "properties": { + "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": 348, + "type": "MarkdownNote", + "pos": [ + -770, + -140 + ], + "size": [ + 260, + 130 + ], + "flags": { + "pinned": true + }, + "order": 73, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Author", + "properties": { + "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": 353, + "type": "MarkdownNote", + "pos": [ + -1150, + 1210 + ], + "size": [ + 370, + 370 + ], + "flags": { + "collapsed": false, + "pinned": true + }, + "order": 74, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Recommended Detailer LoRA's", + "properties": { + "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": 323, + "type": "MarkdownNote", + "pos": [ + -1150, + -240 + ], + "size": [ + 370, + 1410 + ], + "flags": { + "pinned": true + }, + "order": 75, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "How to use", + "properties": { + "widget_ue_connectable": {} + }, + "widgets_values": [ + "#### Model Backend\nIn the **Model Backend** group, choose your Checkpoint, VAE, Upscale Model as well as IPAdapter Model & Clip vision Model if you want to use that feature.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".\n\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#### Input Image\nHere you select your input image for the IMG2IMG process that you want to use throughout the complete process.\n\n---\n\n#### LoRA's / Detection Models\nIn the second row select your detection models for the body parts, select the LoRA's of your choice and select Detailer LoRA's for specific body-parts if you have any.\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#### Detailer Function Control\nIn the \"Detailer Function Control\"-Group you can select which Detailers to run, what manual body part prompts to use and what detailer LoRA's to activate.\n\n---\n\n#### General Function Control\nIn the \"General Detailer 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. Furthermore you can select which of the general LoRA's you want to enable that'll be used throughout the whole process including the detailing.\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#### 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#### Detailer Prompts\nConsists of 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 your denoise value - the higher impact your prompt has. You can also leave the prompt deactivated (In the \"Detailer Function Control\"-Group) 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\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.
\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`To the left are my recommended detection models and below are my recommended body-part LoRA's that i use regularly. `" + ], + "color": "#222", + "bgcolor": "#000", + "shape": 1 + }, + { + "id": 454, + "type": "LoadImage", + "pos": [ + -440, + 70 + ], + "size": [ + 370, + 690 + ], + "flags": {}, + "order": 76, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 5445, + 5600, + 7030, + 7256, + 72367, + 72368, + 72369 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.33", + "Node name for S&R": "LoadImage", + "widget_ue_connectable": {} + }, + "widgets_values": [ + "1_.png", + "image" + ], + "color": "#232", + "bgcolor": "#353", + "shape": 1 + }, + { + "id": 354, + "type": "MarkdownNote", + "pos": [ + 1950, + 810 + ], + "size": [ + 400, + 770 + ], + "flags": { + "collapsed": false, + "pinned": true + }, + "order": 77, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Improve further", + "properties": { + "widget_ue_connectable": {} + }, + "widgets_values": [ + "## Detailer Tips & Usage Guide\n\n### Prompt Behavior\n- If **body-part specific prompts** are **disabled**, the detailer uses the **standard positive/negative prompts**.\n- Detectors and checkpoints usually infer the content well through denoising.\n- However, **writing specific prompts** for body parts results in **better and more accurate** generations.\n- To enhance further, use a **Detailer LoRA** (see recommended ones to the left).\n- If no specific LoRA exists, use a **general Detailer** (EPS or V-Pred) and prompt what you want shown.\n\n> By default, **negative prompts** are shared with the main image generation. \n> To use a custom one, connect a new **Text Prompt Node** in the \n> `\"Backend - Detailer Preparation\"` group.\n\n---\n\n### Debug Preview\n\n- After generation, check the **debug area** for one node per detected body part.\n- Click the rectangle next to a node's name to view the **mask**.\n- If the preview:\n - shows the **full image** → the detailer was **inactive**.\n - is **black** → the model **found no match**.\n\n> If no match is found, try changing the detection model \n> or tweaking the **Detailer parameters** below.\n\n---\n\n## Key Detailer Parameters\n\n- **`bbox_crop_factor`**: Controls how much context around the area is used.\n - `1.0` = tight crop, `3.0` = broader context.\n - Too low = lacks context; too high = loses detail.\n - Optimal range: **1.0–3.0**.\n\n- **`denoise`**: Determines how much of the original is changed.\n - `0.5` = balanced, `1.0` = full replacement.\n - Mid-range is ideal to retain form while enhancing detail.\n\n- **Positive Prompt Node**: \n Use optional body-part positive prompts in the \"Detailer prompts\"-Group. \n Use **body-part specific LoRA’s** for best results.\n\n- **Matching Parts**: \n Use a **detection model** that recognized a pair of eyes, nipples, etc., to ensure consistency.\n\n- **Preserve Original Details**:\n - Lower **CFG** or **denoise** to retain color/shape (e.g., iris).\n" + ], + "color": "#222", + "bgcolor": "#000", + "shape": 1 + } + ], + "links": [ + [ + 44, + 20, + 0, + 19, + 6, + "BBOX_DETECTOR" + ], + [ + 45, + 21, + 0, + 19, + 7, + "SAM_MODEL" + ], + [ + 53, + 34, + 0, + 32, + 6, + "BBOX_DETECTOR" + ], + [ + 55, + 19, + 0, + 32, + 0, + "IMAGE" + ], + [ + 65, + 37, + 0, + 35, + 6, + "BBOX_DETECTOR" + ], + [ + 67, + 40, + 0, + 38, + 6, + "BBOX_DETECTOR" + ], + [ + 82, + 42, + 0, + 43, + 6, + "BBOX_DETECTOR" + ], + [ + 100, + 46, + 0, + 47, + 6, + "BBOX_DETECTOR" + ], + [ + 111, + 46, + 1, + 47, + 8, + "SEGM_DETECTOR" + ], + [ + 158, + 68, + 0, + 70, + 6, + "BBOX_DETECTOR" + ], + [ + 160, + 68, + 1, + 70, + 8, + "SEGM_DETECTOR" + ], + [ + 165, + 12, + 0, + 73, + 0, + "MODEL" + ], + [ + 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