final version changes, pruned personal preference data, changed install script, added fullpreview images

windows-nvidia.bat

@@ -193,11 +193,11 @@ if exist "%samFile%" (
 echo Checking workflow files...
 
 REM Define workflow filenames and URLs
-set workflow[0]=TXT2IMG-ADetailer-v4.1-vslinx.json
-set url[0]=https://huggingface.co/vslinx/ComfyUIDetailerWorkflow-vslinx/resolve/main/workflows/TXT2IMG/v4.1/TXT2IMG-ADetailer-v4.1-vslinx.json
+set workflow[0]=TXT2IMG-ADetailer-v4.2-vslinx.json
+set url[0]=https://huggingface.co/vslinx/ComfyUIDetailerWorkflow-vslinx/resolve/main/workflows/TXT2IMG/v4.2/TXT2IMG-ADetailer-v4.2-vslinx.json
 
-set workflow[1]=IMG2IMG-ADetailer-v4.1-vslinx.json
-set url[1]=https://huggingface.co/vslinx/ComfyUIDetailerWorkflow-vslinx/resolve/main/workflows/IMG2IMG/v4.1/IMG2IMG-ADetailer-v4.1-vslinx.json
+set workflow[1]=IMG2IMG-ADetailer-v4.2-vslinx.json
+set url[1]=https://huggingface.co/vslinx/ComfyUIDetailerWorkflow-vslinx/resolve/main/workflows/IMG2IMG/v4.2/IMG2IMG-ADetailer-v4.2-vslinx.json
 
 REM Loop through and download if not already present
 for /L %%i in (0,1,1) do (

workflows/IMG2IMG/v4.2/IMG2IMG-ADetailer-v4.2-vslinx.json

@@ -2,17 +2,17 @@
   "id": "ff76bfee-226c-4e7b-a199-0dc633e64030",
   "revision": 0,
   "last_node_id": 649,
-  "last_link_id": 79273,
+  "last_link_id": 79339,
   "nodes": [
     {
       "id": 365,
       "type": "Label (rgthree)",
       "pos": [
         -1150,
-        -290
+        -310
       ],
       "size": [
-        308.15625,
+        308.20001220703125,
         24
       ],
       "flags": {
@@ -42,10 +42,10 @@
       "type": "Label (rgthree)",
       "pos": [
         -500,
-        -290
+        -310
       ],
       "size": [
-        149.40234375,
+        149.43333435058594,
         24
       ],
       "flags": {
@@ -75,10 +75,10 @@
       "type": "Label (rgthree)",
       "pos": [
         -700,
-        -200
+        -220
       ],
       "size": [
-        147.392578125,
+        147.38333129882812,
         52
       ],
       "flags": {
@@ -157,10 +157,10 @@
       "type": "Label (rgthree)",
       "pos": [
         -760,
-        -230
+        -250
       ],
       "size": [
-        184.5263671875,
+        184.5500030517578,
         34
       ],
       "flags": {
@@ -285,10 +285,10 @@
       "type": "Label (rgthree)",
       "pos": [
         -760,
-        -240
+        -260
       ],
       "size": [
-        60.6689453125,
+        60.650001525878906,
         14
       ],
       "flags": {
@@ -391,7 +391,7 @@
         {
           "name": "clip",
           "type": "CLIP",
-          "link": 79263
+          "link": 79332
         },
         {
           "name": "text",
@@ -445,7 +445,7 @@
         {
           "name": "clip",
           "type": "CLIP",
-          "link": 79264
+          "link": 79333
         },
         {
           "name": "text",
@@ -557,7 +557,7 @@
         {
           "name": "clip",
           "type": "CLIP",
-          "link": 79265
+          "link": 79334
         },
         {
           "name": "text",
@@ -727,7 +727,7 @@
         {
           "name": "clip",
           "type": "CLIP",
-          "link": 79266
+          "link": 79335
         },
         {
           "name": "text",
@@ -801,8 +801,8 @@
           "name": "CLIP",
           "type": "CLIP",
           "links": [
-            79268,
-            79272
+            79272,
+            79337
           ]
         },
         {
@@ -870,7 +870,7 @@
           "type": "CLIP",
           "links": [
             71130,
-            79271
+            79339
           ]
         },
         {
@@ -938,7 +938,7 @@
           "type": "CLIP",
           "links": [
             71588,
-            79263
+            79332
           ]
         },
         {
@@ -1006,7 +1006,7 @@
           "type": "CLIP",
           "links": [
             5403,
-            79264
+            79333
           ]
         },
         {
@@ -1074,7 +1074,7 @@
           "type": "CLIP",
           "links": [
             69161,
-            79265
+            79334
           ]
         },
         {
@@ -1123,7 +1123,7 @@
         {
           "name": "clip",
           "type": "CLIP",
-          "link": 79267
+          "link": 79336
         },
         {
           "name": "text",
@@ -1197,8 +1197,8 @@
           "name": "CLIP",
           "type": "CLIP",
           "links": [
-            79267,
-            79269
+            79269,
+            79336
           ]
         },
         {
@@ -1247,7 +1247,7 @@
         {
           "name": "clip",
           "type": "CLIP",
-          "link": 79268
+          "link": 79337
         },
         {
           "name": "text",
@@ -1371,7 +1371,7 @@
           "type": "CLIP",
           "links": [
             5405,
-            79266
+            79335
           ]
         },
         {
@@ -1654,7 +1654,7 @@
         512,
         true,
         1024,
-        163139755843893,
+        713936469292626,
         "randomize",
         30,
         5,
@@ -1700,7 +1700,7 @@
         "collapsed": true
       },
       "order": 159,
-      "mode": 0,
+      "mode": 4,
       "inputs": [
         {
           "name": "image",
@@ -1857,7 +1857,7 @@
         512,
         true,
         1024,
-        165737607034894,
+        417290188343411,
         "randomize",
         30,
         5,
@@ -1966,7 +1966,7 @@
         {
           "name": "clip",
           "type": "CLIP",
-          "link": 79270
+          "link": 79338
         },
         {
           "name": "text",
@@ -2064,8 +2064,8 @@
           "name": "CLIP",
           "type": "CLIP",
           "links": [
-            79270,
-            79273
+            79273,
+            79338
           ]
         },
         {
@@ -2284,10 +2284,10 @@
       "type": "Label (rgthree)",
       "pos": [
         -1150,
-        -280
+        -300
       ],
       "size": [
-        360.38671875,
+        360.45001220703125,
         24
       ],
       "flags": {
@@ -2312,80 +2312,22 @@
       "color": "#fff0",
       "bgcolor": "#fff0"
     },
-    {
-      "id": 583,
-      "type": "MarkdownNote",
-      "pos": [
-        -280,
-        -220
-      ],
-      "size": [
-        290,
-        210
-      ],
-      "flags": {
-        "pinned": true
-      },
-      "order": 19,
-      "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.<br>\nThese models work for Eps, VPred and even Illustrious models. <br>\nSo you don't need to use a NoobAI model if you prefer using Illustrious Checkpoints.<br> <br>\nYou can find these Models [here](https://civitai.com/models/929685\n). <br>\nThe OpenPose model [here](https://huggingface.co/Laxhar/noob_openpose/tree/main).<br>\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,
-        -220
-      ],
-      "size": [
-        290,
-        210
-      ],
-      "flags": {
-        "pinned": true
-      },
-      "order": 20,
-      "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.<br>\nThis models work for Eps, VPred and Illustrious models. <br>\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": 364,
       "type": "Label (rgthree)",
       "pos": [
         -500,
-        -280
+        -300
       ],
       "size": [
-        800.859375,
+        801,
         24
       ],
       "flags": {
         "allow_interaction": false,
         "pinned": true
       },
-      "order": 21,
+      "order": 19,
       "mode": 0,
       "inputs": [],
       "outputs": [],
@@ -2415,7 +2357,7 @@
         150
       ],
       "flags": {},
-      "order": 22,
+      "order": 20,
       "mode": 4,
       "inputs": [],
       "outputs": [
@@ -2464,7 +2406,7 @@
       "flags": {
         "collapsed": false
       },
-      "order": 23,
+      "order": 21,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -2513,7 +2455,7 @@
       "flags": {
         "collapsed": false
       },
-      "order": 24,
+      "order": 22,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -2548,36 +2490,6 @@
       "bgcolor": "#335",
       "shape": 1
     },
-    {
-      "id": 353,
-      "type": "MarkdownNote",
-      "pos": [
-        -1150,
-        1180
-      ],
-      "size": [
-        370,
-        400
-      ],
-      "flags": {
-        "collapsed": false,
-        "pinned": true
-      },
-      "order": 25,
-      "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": 21,
       "type": "SAMLoader",
@@ -2592,7 +2504,7 @@
       "flags": {
         "collapsed": true
       },
-      "order": 26,
+      "order": 23,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -2810,7 +2722,7 @@
       "flags": {
         "collapsed": false
       },
-      "order": 27,
+      "order": 24,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -2922,7 +2834,7 @@
         {
           "name": "clip",
           "type": "CLIP",
-          "link": 79271
+          "link": 79339
         },
         {
           "name": "text",
@@ -3028,7 +2940,7 @@
       "flags": {
         "collapsed": true
       },
-      "order": 28,
+      "order": 25,
       "mode": 0,
       "inputs": [
         {
@@ -3102,7 +3014,7 @@
         30
       ],
       "flags": {},
-      "order": 29,
+      "order": 26,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -3151,7 +3063,7 @@
         "collapsed": true
       },
       "order": 153,
-      "mode": 0,
+      "mode": 4,
       "inputs": [
         {
           "name": "image",
@@ -3308,7 +3220,7 @@
         512,
         true,
         1024,
-        609449220854434,
+        312097771717034,
         "randomize",
         30,
         5,
@@ -3511,7 +3423,7 @@
         512,
         true,
         1024,
-        64504453708537,
+        668826807638443,
         "randomize",
         30,
         5,
@@ -3648,35 +3560,6 @@
       "bgcolor": "#5c5c5c",
       "shape": 1
     },
-    {
-      "id": 348,
-      "type": "MarkdownNote",
-      "pos": [
-        -770,
-        -120
-      ],
-      "size": [
-        260,
-        110
-      ],
-      "flags": {
-        "pinned": true
-      },
-      "order": 30,
-      "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). <br>\nThank you for using my Workflow!\n<br>\n### [Guide](https://civitai.com/articles/15480)"
-      ],
-      "color": "#222",
-      "bgcolor": "#000",
-      "shape": 1
-    },
     {
       "id": 86,
       "type": "LoraLoader|pysssss",
@@ -3743,36 +3626,6 @@
       "bgcolor": "#335",
       "shape": 1
     },
-    {
-      "id": 354,
-      "type": "MarkdownNote",
-      "pos": [
-        1950,
-        810
-      ],
-      "size": [
-        400,
-        780
-      ],
-      "flags": {
-        "collapsed": false,
-        "pinned": true
-      },
-      "order": 31,
-      "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
-    },
     {
       "id": 530,
       "type": "EmptyLatentImage",
@@ -4209,7 +4062,7 @@
         512,
         true,
         1024,
-        539159457790573,
+        1010692068935941,
         "randomize",
         30,
         5,
@@ -4386,7 +4239,7 @@
         30
       ],
       "flags": {},
-      "order": 32,
+      "order": 27,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -4651,7 +4504,7 @@
         512,
         true,
         1024,
-        1115887470650589,
+        931358925120818,
         "randomize",
         30,
         5,
@@ -4854,7 +4707,7 @@
         512,
         true,
         1024,
-        959433734111503,
+        181447405005868,
         "randomize",
         30,
         5,
@@ -4947,7 +4800,7 @@
       "flags": {
         "collapsed": true
       },
-      "order": 95,
+      "order": 93,
       "mode": 0,
       "inputs": [
         {
@@ -5122,7 +4975,7 @@
         190
       ],
       "flags": {},
-      "order": 33,
+      "order": 28,
       "mode": 0,
       "inputs": [],
       "outputs": [],
@@ -5150,7 +5003,7 @@
       "flags": {
         "collapsed": false
       },
-      "order": 34,
+      "order": 29,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -5197,8 +5050,8 @@
         110
       ],
       "flags": {},
-      "order": 35,
-      "mode": 0,
+      "order": 30,
+      "mode": 4,
       "inputs": [],
       "outputs": [
         {
@@ -5236,7 +5089,7 @@
         30
       ],
       "flags": {},
-      "order": 36,
+      "order": 31,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -5282,7 +5135,7 @@
         30
       ],
       "flags": {},
-      "order": 37,
+      "order": 32,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -5328,7 +5181,7 @@
         30
       ],
       "flags": {},
-      "order": 38,
+      "order": 33,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -5374,7 +5227,7 @@
         30
       ],
       "flags": {},
-      "order": 39,
+      "order": 34,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -5420,7 +5273,7 @@
         30
       ],
       "flags": {},
-      "order": 40,
+      "order": 35,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -5466,7 +5319,7 @@
         30
       ],
       "flags": {},
-      "order": 41,
+      "order": 36,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -5721,7 +5574,7 @@
       "flags": {
         "collapsed": true
       },
-      "order": 93,
+      "order": 94,
       "mode": 0,
       "inputs": [
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@@ -5772,7 +5625,7 @@
       "flags": {
         "collapsed": false
       },
-      "order": 42,
+      "order": 37,
       "mode": 0,
       "inputs": [],
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@@ -5819,7 +5672,7 @@
         110
       ],
       "flags": {},
-      "order": 43,
+      "order": 38,
       "mode": 4,
       "inputs": [],
       "outputs": [
@@ -5858,7 +5711,7 @@
         110
       ],
       "flags": {},
-      "order": 44,
+      "order": 39,
       "mode": 4,
       "inputs": [],
       "outputs": [
@@ -5897,7 +5750,7 @@
         110
       ],
       "flags": {},
-      "order": 45,
+      "order": 40,
       "mode": 4,
       "inputs": [],
       "outputs": [
@@ -5938,7 +5791,7 @@
       "flags": {
         "collapsed": true
       },
-      "order": 46,
+      "order": 41,
       "mode": 0,
       "inputs": [
         {
@@ -6050,7 +5903,7 @@
       "flags": {
         "collapsed": false
       },
-      "order": 47,
+      "order": 42,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -6097,7 +5950,7 @@
         30
       ],
       "flags": {},
-      "order": 48,
+      "order": 43,
       "mode": 0,
       "inputs": [],
       "outputs": [
@@ -6303,7 +6156,7 @@
         true,
         false,
         "",
-        "1girl, solo, looking at viewer, blush, smile, skirt, school uniform, standing, short sleeves, cowboy shot, pleated skirt, serafuku, sailor collar, blue skirt, neckerchief, blue background, index finger raised, finger to mouth"
+        "1girl, solo, long hair, breasts, looking at viewer, smile, open mouth, blue eyes, skirt, shirt, thighhighs, ribbon, navel, twintails, medium breasts, standing, collarbone, hair ribbon, white hair, short sleeves, cowboy shot, pleated skirt, outdoors, solo focus, day, midriff, hand up, miniskirt, black skirt, stomach, bag, zettai ryouiki, crop top, black shirt, v, building, watch, wristwatch, crop top overhang"
       ],
       "color": "#707070",
       "bgcolor": "#5c5c5c",
@@ -6382,7 +6235,7 @@
       "flags": {
         "collapsed": true
       },
-      "order": 128,
+      "order": 127,
       "mode": 4,
       "inputs": [
         {
@@ -6445,7 +6298,7 @@
       "flags": {
         "collapsed": true
       },
-      "order": 129,
+      "order": 128,
       "mode": 4,
       "inputs": [
         {
@@ -6508,7 +6361,7 @@
       "flags": {
         "collapsed": true
       },
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-        "[ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)<br>\n[ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)<br>\n[ComfyUI-mxToolkit](https://github.com/Smirnov75/ComfyUI-mxToolkit)<br>\n[ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use)<br>\n[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)<br>\n[ComfyUI-Crystools](https://github.com/crystian/ComfyUI-Crystools)<br>\n[ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)<br>\n[ComfyUI_Comfyroll_CustomNodes](https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes)<br>\n[ComfyUI-Advanced-ControlNet](https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet)<br>\n[ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)<br>\n[ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)<br>\n[ComfyUI-WD14-Tagger](https://github.com/pythongosssss/ComfyUI-WD14-Tagger)<br>\n[cg-use-everywhere](https://github.com/chrisgoringe/cg-use-everywhere)<br> \n[cg-image-filter](https://github.com/chrisgoringe/cg-image-filter)<br>\n[rgthree-comfy](https://github.com/rgthree/rgthree-comfy)<br>\n[wlsh_nodes](https://github.com/wallish77/wlsh_nodes)"
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-        "#### 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. <br>\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. <br>\nIt basically works as a 1-Image-LoRA that injects itself into the Model and applies the style of the image like a LoRA. <br>\n<br>\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. <br>\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. <br> 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. <br> 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. <br> 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. <br> 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. <br> 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. <br>\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. `"
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@@ -9377,7 +8990,7 @@
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@@ -9651,173 +9171,541 @@
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@@ -9836,7 +9724,7 @@
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@@ -9847,88 +9735,99 @@
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@@ -9945,7 +9844,7 @@
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-      "title": "IMG Transfer Control",
+      "title": "Exclude tags from interrogation",
       "properties": {
-        "toggleRestriction": "default",
-        "widget_ue_connectable": {},
-        "collapse_connections": true
+        "cnr_id": "comfyui-crystools",
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     {
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       "mode": 0,
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-        {
-          "name": "images",
-          "type": "IMAGE",
-          "link": 422
-        }
+      "inputs": [],
+      "outputs": [],
+      "title": "Nodes",
+      "properties": {
+        "widget_ue_connectable": {}
+      },
+      "widgets_values": [
+        "[ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)<br>\n[ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)<br>\n[ComfyUI-mxToolkit](https://github.com/Smirnov75/ComfyUI-mxToolkit)<br>\n[ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use)<br>\n[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)<br>\n[ComfyUI-Crystools](https://github.com/crystian/ComfyUI-Crystools)<br>\n[ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)<br>\n[ComfyUI_Comfyroll_CustomNodes](https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes)<br>\n[ComfyUI-Advanced-ControlNet](https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet)<br>\n[ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)<br>\n[ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)<br>\n[ComfyUI-WD14-Tagger](https://github.com/pythongosssss/ComfyUI-WD14-Tagger)<br>\n[cg-use-everywhere](https://github.com/chrisgoringe/cg-use-everywhere)<br> \n[cg-image-filter](https://github.com/chrisgoringe/cg-image-filter)<br>\n[rgthree-comfy](https://github.com/rgthree/rgthree-comfy)<br>\n[wlsh_nodes](https://github.com/wallish77/wlsh_nodes)"
+      ],
+      "color": "#222",
+      "bgcolor": "#000",
+      "shape": 1
+    },
+    {
+      "id": 583,
+      "type": "MarkdownNote",
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+        -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.<br>\nThese models work for Eps, VPred and even Illustrious models. <br>\nSo you don't need to use a NoobAI model if you prefer using Illustrious Checkpoints.<br> <br>\nYou can find these Models [here](https://civitai.com/models/929685\n). <br>\nThe OpenPose model [here](https://huggingface.co/Laxhar/noob_openpose/tree/main).<br>\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
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+        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.<br>\nThis models work for Eps, VPred and Illustrious models. <br>\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",
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+      "flags": {
+        "pinned": true
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+      "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). <br>\nThank you for using my Workflow!\n<br>\n### [Guide](https://civitai.com/articles/15480)"
+      ],
+      "color": "#222",
+      "bgcolor": "#000",
+      "shape": 1
+    },
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+      "order": 74,
+      "mode": 0,
+      "inputs": [],
       "outputs": [],
-      "title": "Hands",
+      "title": "Recommended Detailer LoRA's",
       "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
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         "widget_ue_connectable": {}
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+        "#### 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)"
+      ],
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+      "bgcolor": "#000",
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     },
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-          "type": "IMAGE",
-          "link": 423
-        }
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       "outputs": [],
-      "title": "Nipples",
+      "title": "How to use",
       "properties": {
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         "widget_ue_connectable": {}
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+        "#### 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. <br>\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. <br>\nIt basically works as a 1-Image-LoRA that injects itself into the Model and applies the style of the image like a LoRA. <br>\n<br>\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. <br>\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. <br> 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. <br> 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. <br> 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. <br> 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. <br> 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. <br>\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. `"
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-      "title": "Face",
+      "title": "Improve further",
       "properties": {
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+        "## 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"
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+        "1girl, solo, breasts, looking at viewer, blush, smile, inoue orihime, orange hair, brown eyes, long hair, large breasts, simple background, turtleneck, turtleneck sweater, sideways glance, smile, "
+      ],
+      "color": "#232",
+      "bgcolor": "#353",
       "shape": 1
     },
     {
-      "id": 224,
-      "type": "PreviewImage",
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+      "type": "MarkdownNote",
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       "mode": 0,
-      "inputs": [
-        {
-          "name": "images",
-          "type": "IMAGE",
-          "link": 419
-        }
-      ],
+      "inputs": [],
       "outputs": [],
-      "title": "Face",
+      "title": "How to use",
       "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "PreviewImage",
         "widget_ue_connectable": {}
       },
-      "widgets_values": [],
+      "widgets_values": [
+        "#### Model Backend\nIn the **Model Backend** group, choose your Checkpoint, VAE, Upscale Model as well as ControlNet Model and the Pre-processor Model. <br>\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\n#### LoRA's / Detection Models\nIn the second row select the LoRA's of your choice, select your detection models for the body parts and fill out the prompts for specific body parts(or leave as is) and select Detailer LoRA's for specific body-parts if you have any.\n\n---\n\n#### Sampler Settings\nChange the sampler settings according to your wishes or leave as is. You can change the Resolution more accurately by double clicking the height and width values and entering a value manually. The default settings are my personal preferences. <br>\nThe settings for CFG, steps, scheduler & sampler also apply to all of the detailers to keep a consistent setting for all parts of the generation. <br>\nAt the bottom of the \"Sampler settings\"-Group you can find three sliders that are exclusively for ControlNet. If you do not know what they do you should leave them as is, but they can be used to control the influence of the ControlNet over your final result. <br>\nThe same goes for the IPAdapter Settings.\n\n---\n\n#### Function Control\nIn the \"Function Control\"-Group you can select which Detailers to run, what manual body part prompts to use and what detailer LoRA's to activate.\nHere you can also control if you want to use a start and/or quality prompt, if you'd like to use ControlNet and/or the Pre-Processor to either imitate a pose from a pose image or a reference image and if you want to use the IPAdapter to imitate an image's style and/or composition. <br>\nLastly you can also select the General LoRA's to use throughout the whole process of the workflow - you can set them in the \"LoRA's\"-Group below. <br>\nWhen using the upscaling function you can also set the factor by which you want to upscale your image instead of leaving it to the Upscale Model itself for more control.\n\n---\n\n#### ControlNet\nYou can either provide a full image in the \"Pre-Processing\" image selector or a ControlNet pose image in the \"Load ControlNet Pose\" image selector below. <br>\nThe ControlNet image has to match the ControlNet model in the node inside of the \"Model Backend\"-Group.<br>\nIf you want to imitate the pose of an image and have selected a image in the \"Pre-Processing\"-Node inside the \"ControlNet\"-Group you have to enable the \"Use Pre-Processor\"-Node in the \"Process Control\"-Group.<br>\nAfter selecting a pre-processing model at the bottom of the \"Model Backend\"-Group you can see a preview of the generated/used next to the ControlNet switches in the \"Process Control\"-Group. <br>\nUsing Low VRAM Mode ALONGSIDE ControlNet will downscale the input image of the used pose(no matter if pre-processed or not) to 512px on it's smallest size to save some VRAM. 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\nYou can find an in-depth guide about what ControlNet is, what it does and how each model works in [this](https://stable-diffusion-art.com/controlnet/) guide. (It's for A1111WebUI but you'll understand)\n\n---\n\n#### IPAdapter\nIPAdapter let's you copy the style of an image simply by providing an IPAdapter Model & a Clip Model. <br>\nIt basically works as a 1-Image-LoRA that injects itself into the Model and applies the style of the image like a LoRA. The composition part works similar to ControlNet where the general composition is being copied by the image. <br>\nYou can select an image for the style and an image for the composition individually in the \"IPAdapter (Optional)\"-Group and then set the strength of their influence in the \"Sampler Settings\"-Group. <br>\nIn general if you're just trying to copy the style of one image and the position of another image i'd recommend using ControlNet for the pose and IPAdapter for the style. <br>\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.<br>\n<br>\nBe aware that you still have to prompt correctly with IPAdapter, otherwise the concept or pose of the input image will heavily influence the final image(if you're not using ControlNet or a Composition image).\n\n---\n\n#### Prompts\nConsists of start quality prompts, positive prompt, end quality prompts and negative prompts. If you're like me and want to use the same quality tags across multiple different prompts you can activate/deactivate the quality prompts in the \"Process Control\"-Group.\nComma automatically gets appended to the end of the quality prompt and the positive prompt. To see what your full prompt looks like you can check the \"Prompt preview\"-Node inside the \"Debug\"-Group underneath the image preview.\n\n---\n\n#### Detailer Prompts\nConsists of one \"Denoise\"-Slider and one prompt field for each body part that has a detailer. <br> 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. <br> 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. <br> 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. <br> 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. <br> 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`Below and to the left are my recommended detection models as well as Detailer LoRA's for some of them that i use regularly. At the bottom you can find collections of Poses for ControlNet.`"
+      ],
+      "color": "#222",
+      "bgcolor": "#000",
       "shape": 1
     },
     {
@@ -9954,15 +9847,14 @@
       "type": "MarkdownNote",
       "pos": [
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       "size": [
         370,
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       ],
       "flags": {
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-        "pinned": true
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       "order": 79,
       "mode": 0,
@@ -9980,40 +9872,145 @@
       "shape": 1
     },
     {
-      "id": 360,
+      "id": 468,
       "type": "MarkdownNote",
       "pos": [
-        -1530,
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-        370,
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+        270
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-      "flags": {
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       "order": 80,
       "mode": 0,
       "inputs": [],
       "outputs": [],
-      "title": "Pose Collections",
+      "title": "Debug Information",
       "properties": {
         "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)."
+        "#### Debug Section\n\nYou can open the previews above by clicking the rectangle symbol next to the name.\nThey show the improved part by the detailer.\n\nIf the whole image is in the preview it means that the Detailer is disabled, no changes have been made.\n\nIf the preview is a black rectangle it means the Ultralytics detection model has not found any matches.\n\nYou might choose a different detection model or change settings in the detailer.\n(See \"Improve further\" on the left)\n\nThe prompt preview to the left side of this note shows you the combination of positive prompts in your workflow."
       ],
       "color": "#222",
       "bgcolor": "#000",
       "shape": 1
     },
+    {
+      "id": 245,
+      "type": "ShowText|pysssss",
+      "pos": [
+        2220,
+        1460
+      ],
+      "size": [
+        390,
+        270
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+      "flags": {
+        "collapsed": false
+      },
+      "order": 119,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "text",
+          "type": "STRING",
+          "link": 10454
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "shape": 6,
+          "type": "STRING",
+          "links": null
+        }
+      ],
+      "title": "Prompt preview",
+      "properties": {
+        "cnr_id": "comfyui-custom-scripts",
+        "ver": "9f7b3215e6af317603056a9a1666bf6e83e28835",
+        "Node name for S&R": "ShowText|pysssss",
+        "widget_ue_connectable": {}
+      },
+      "widgets_values": [
+        "masterpiece, best quality, absurdres, amazing quality, 1girl, solo, breasts, looking at viewer, blush, smile, inoue orihime, orange hair, brown eyes, long hair, large breasts, simple background, turtleneck, turtleneck sweater, sideways glance, smile, "
+      ],
+      "shape": 1
+    },
+    {
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+      "type": "PreviewImage",
+      "pos": [
+        2470,
+        -40
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+        460,
+        830
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+      "flags": {},
+      "order": 163,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 176
+        }
+      ],
+      "outputs": [],
+      "title": "Preview after Detailing",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.14",
+        "Node name for S&R": "PreviewImage",
+        "widget_ue_connectable": {}
+      },
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+      "type": "PreviewImage",
+      "pos": [
+        2000,
+        -40
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+      "size": [
+        460,
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+      "flags": {},
+      "order": 148,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
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+          "link": 11007
+        }
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+      "outputs": [],
+      "title": "Preview / Upscaled",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.27",
+        "Node name for S&R": "PreviewImage",
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       "mode": 0,
       "inputs": [],
       "outputs": [],
-      "title": "How to use",
+      "title": "Pose Collections",
       "properties": {
         "widget_ue_connectable": {}
       },
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-        "#### Model Backend\nIn the **Model Backend** group, choose your Checkpoint, VAE, Upscale Model as well as ControlNet Model and the Pre-processor Model. <br>\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\n#### LoRA's / Detection Models\nIn the second row select the LoRA's of your choice, select your detection models for the body parts and fill out the prompts for specific body parts(or leave as is) and select Detailer LoRA's for specific body-parts if you have any.\n\n---\n\n#### Sampler Settings\nChange the sampler settings according to your wishes or leave as is. You can change the Resolution more accurately by double clicking the height and width values and entering a value manually. The default settings are my personal preferences. <br>\nThe settings for CFG, steps, scheduler & sampler also apply to all of the detailers to keep a consistent setting for all parts of the generation. <br>\nAt the bottom of the \"Sampler settings\"-Group you can find three sliders that are exclusively for ControlNet. If you do not know what they do you should leave them as is, but they can be used to control the influence of the ControlNet over your final result. <br>\nThe same goes for the IPAdapter Settings.\n\n---\n\n#### Function Control\nIn the \"Function Control\"-Group you can select which Detailers to run, what manual body part prompts to use and what detailer LoRA's to activate.\nHere you can also control if you want to use a start and/or quality prompt, if you'd like to use ControlNet and/or the Pre-Processor to either imitate a pose from a pose image or a reference image and if you want to use the IPAdapter to imitate an image's style and/or composition. <br>\nLastly you can also select the General LoRA's to use throughout the whole process of the workflow - you can set them in the \"LoRA's\"-Group below. <br>\nWhen using the upscaling function you can also set the factor by which you want to upscale your image instead of leaving it to the Upscale Model itself for more control.\n\n---\n\n#### ControlNet\nYou can either provide a full image in the \"Pre-Processing\" image selector or a ControlNet pose image in the \"Load ControlNet Pose\" image selector below. <br>\nThe ControlNet image has to match the ControlNet model in the node inside of the \"Model Backend\"-Group.<br>\nIf you want to imitate the pose of an image and have selected a image in the \"Pre-Processing\"-Node inside the \"ControlNet\"-Group you have to enable the \"Use Pre-Processor\"-Node in the \"Process Control\"-Group.<br>\nAfter selecting a pre-processing model at the bottom of the \"Model Backend\"-Group you can see a preview of the generated/used next to the ControlNet switches in the \"Process Control\"-Group. <br>\nUsing Low VRAM Mode ALONGSIDE ControlNet will downscale the input image of the used pose(no matter if pre-processed or not) to 512px on it's smallest size to save some VRAM. 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\nYou can find an in-depth guide about what ControlNet is, what it does and how each model works in [this](https://stable-diffusion-art.com/controlnet/) guide. (It's for A1111WebUI but you'll understand)\n\n---\n\n#### IPAdapter\nIPAdapter let's you copy the style of an image simply by providing an IPAdapter Model & a Clip Model. <br>\nIt basically works as a 1-Image-LoRA that injects itself into the Model and applies the style of the image like a LoRA. The composition part works similar to ControlNet where the general composition is being copied by the image. <br>\nYou can select an image for the style and an image for the composition individually in the \"IPAdapter (Optional)\"-Group and then set the strength of their influence in the \"Sampler Settings\"-Group. <br>\nIn general if you're just trying to copy the style of one image and the position of another image i'd recommend using ControlNet for the pose and IPAdapter for the style. <br>\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.<br>\n<br>\nBe aware that you still have to prompt correctly with IPAdapter, otherwise the concept or pose of the input image will heavily influence the final image(if you're not using ControlNet or a Composition image).\n\n---\n\n#### Prompts\nConsists of start quality prompts, positive prompt, end quality prompts and negative prompts. If you're like me and want to use the same quality tags across multiple different prompts you can activate/deactivate the quality prompts in the \"Process Control\"-Group.\nComma automatically gets appended to the end of the quality prompt and the positive prompt. To see what your full prompt looks like you can check the \"Prompt preview\"-Node inside the \"Debug\"-Group underneath the image preview.\n\n---\n\n#### Detailer Prompts\nConsists of one \"Denoise\"-Slider and one prompt field for each body part that has a detailer. <br> 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. <br> 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. <br> 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. <br> 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. <br> 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`Below and to the left are my recommended detection models as well as Detailer LoRA's for some of them that i use regularly. At the bottom you can find collections of Poses for ControlNet.`"
+        "### 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)."
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