diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000000000000000000000000000000000000..fbbbece0126ace7489324b041afc31a4082d6b45
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,37 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.json -text
\ No newline at end of file
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..dff53e46cb07ebba0be37586ae7df7ba6378a4a2
--- /dev/null
+++ b/README.md
@@ -0,0 +1,250 @@
+ComfyUI Detailer/ADetailer Workflow
+===================================
+
+Requirements for each version are listed below or can be found inside a **Note** in the Workflow itself.
+
+Because of the many connections among the nodes, I **highly** recommend turning off the link visibility by clicking the **"Toggle Link visibility"** (Eye icon) in the bottom right of ComfyUI.
+
+[](https://civitai.com/articles/15480)
+
+Description
+-----------
+
+I originally came from A1111 WebUI to ComfyUI and, honestly, a lot of things felt way more complicated than they needed to be. I couldn’t find workflows that were both visually pleasing _and_ showed me all the important options without requiring a deep understanding of every little thing in ComfyUI.
+
+Over a few months I learned the ins and outs of Comfy and built my own very barebones, simple workflow (v1) with one main goal: streamline the process and make it visually understandable. I released it here thinking it might help others who also want to make the jump from A1111 to Comfy.
+
+Over the last year I’ve kept adding more and more features as people started using the workflow and requesting things. The workflow has grown a lot, but I’m still trying to keep the same ease-of-use that this whole journey started with. The main goal is still the same: give you a lot of powerful options in a layout that’s as clean, readable, and as user-friendly as ComfyUI will allow.
+
+At this point I feel like I have a pretty solid understanding of how Comfy works, and I’ve even created my own custom nodes to add missing functionality so this workflow could match the ideas I had for it. I try to hide as much of the technical complexity as possible — but if you’re ever curious or confused about anything, please feel free to ask!
+
+Thanks to all of your suggestions, the workflow now includes features like:
+
+* Single-image and batch generation
+
+* Automatic detailers for specific body parts
+
+* Upscaling
+
+* v-pred models
+
+* LoRAs
+
+* ControlNet
+
+* IPAdapter
+
+* Hires fix / refiner
+
+* Manual inpainting
+
+
+Thank you to every single person who uses this workflow, donates Buzz, or shares images on this page.
+I really appreciate you taking those extra steps to support and promote the project. ♥️
+
+Requirements
+------------
+
+**v4.4 and above require ComfyUI version 0.3.51 or above and also need the** [**frontend**](https://github.com/Comfy-Org/ComfyUI_frontend?tab=readme-ov-file#nightly-releases) **to be AT LEAST 1.24.3 or later.**
+
+### **v5.0** \- Full List
+
+* [ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)
+
+* [ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)
+
+* [ComfyUI-mxToolkit](https://github.com/Smirnov75/ComfyUI-mxToolkit)
+
+* [ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use)
+
+* [ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)
+
+* [ComfyUI-Crystools](https://github.com/crystian/ComfyUI-Crystools)
+
+* [ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)
+
+* [ComfyUI\_Comfyroll\_CustomNodes](https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes)
+
+* [ComfyUI-Advanced-ControlNet](https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet)
+
+* [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)
+
+* [ComfyUI\_IPAdapter\_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)
+
+* [ComfyUI-vslinx-nodes](https://github.com/vslinx/ComfyUI-vslinx-nodes)
+
+* [ComfyUI-Inpaint-CropAndStitch](https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch)
+
+* [comfyui\_controlnet\_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
+
+* [cg-image-filter](https://github.com/chrisgoringe/cg-image-filter)
+
+* [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)
+
+* [wlsh\_nodes](https://github.com/wallish77/wlsh_nodes)
+
+
+### **v4.4** \- Additions to v4.3 **(IMG2IMG Only)**
+
+* [ComfyUI-vslinx-nodes](https://github.com/vslinx/ComfyUI-vslinx-nodes)
+
+* Otherwise same as **v4-4.3** below
+
+
+### **v4.2-4.3** \- Additions to v4.1
+
+* [WLSH Nodes](https://github.com/wallish77/wlsh_nodes)
+
+* Otherwise same as **v4.1** (incl. **v4**) below
+
+
+### v4.1 - Additions to v4 (IMG2IMG Only)
+
+* [ComfyUI-WD14-Tagger](https://github.com/pythongosssss/ComfyUI-WD14-Tagger)
+
+* Otherwise same as **v4** below
+
+
+### v4 - Full List
+
+* [ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)
+
+* [ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)
+
+* [ComfyUI-mxToolkit](https://github.com/Smirnov75/ComfyUI-mxToolkit)
+
+* [ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use)
+
+* [ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)
+
+* [ComfyUI-Crystools](https://github.com/crystian/ComfyUI-Crystools)
+
+* [ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)
+
+* [ComfyUI\_Comfyroll\_CustomNodes](https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes)
+
+* [ComfyUI-Advanced-ControlNet](https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet)
+
+* [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)
+
+* [ComfyUI\_IPAdapter\_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)
+
+* [comfyui\_controlnet\_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
+
+* [cg-use-everywhere](https://github.com/chrisgoringe/cg-use-everywhere)
+
+* [cg-image-filter](https://github.com/chrisgoringe/cg-image-filter)
+
+* [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)
+
+
+### v3 - v3.2 - Full List
+
+* [ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)
+
+* [ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)
+
+* [ComfyUI-mxToolkit](https://github.com/Smirnov75/ComfyUI-mxToolkit)
+
+* [ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use)
+
+* [ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)
+
+* [ComfyUI-Crystools](https://github.com/crystian/ComfyUI-Crystools)
+
+* [ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)
+
+* [ComfyUI\_Comfyroll\_CustomNodes](https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes)
+
+* [ComfyUI-Advanced-ControlNet](https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet)
+
+* [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)
+
+* [comfyui\_controlnet\_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
+
+* [cg-use-everywhere](https://github.com/chrisgoringe/cg-use-everywhere)
+
+* [cg-image-filter](https://github.com/chrisgoringe/cg-image-filter)
+
+* [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)
+
+
+### v2.2 - Additions to v2
+
+* [ComfyUI\_Comfyroll\_Nodes](https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes)
+
+* Otherwise same Custom-Nodes as v2 but you can remove [Comfyui-ergouzi-Nodes](https://github.com/11dogzi/Comfyui-ergouzi-Nodes)
+
+
+v2 - Full List
+--------------
+
+* [ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)
+
+* [ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)
+
+* [ComfyUI-mxToolkit](https://github.com/Smirnov75/ComfyUI-mxToolkit)
+
+* [ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use)
+
+* [ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)
+
+* [ComfyUI-Crystools](https://github.com/crystian/ComfyUI-Crystools)
+
+* [Comfyui-ergouzi-Nodes](https://github.com/11dogzi/Comfyui-ergouzi-Nodes)
+
+* [ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)
+
+* [cg-use-everywhere](https://github.com/chrisgoringe/cg-use-everywhere)
+
+* [cg-image-filter](https://github.com/chrisgoringe/cg-image-filter)
+
+* [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)
+
+
+v1 - Full List
+--------------
+
+* [ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)
+
+* [ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)
+
+* [cg-use-everywhere](https://github.com/chrisgoringe/cg-use-everywhere)
+
+* [cg-image-picker](https://github.com/chrisgoringe/cg-image-picker)
+
+* [ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)
+
+
+How to use
+----------
+
+Since all of the different versions work differently, you should check the **"How to use"** Node inside of the Workflow itself.
+
+I promise that once you read the explanation of the workflow itself, it'll click and it will be a simple plug and play experience.
+
+It's the simplest I could've made it coming from someone who's only started using ComfyUI 4-5 months ago and had been exclusively an A1111WebUI user before.
+
+When were what functionalitys added?
+------------------------------------
+
+Starting from **v3**, ControlNet is included.
+Starting from **v4**, IPAdapter is included.
+Starting from **v4.3**, HiRes Fix and Dynamic prompts(wildcards) is included.
+Starting from **v4.4**, Refiner is included.
+Starting from **v5.0**, Manual Inpainting is included.
+
+Any errors during execution?
+----------------------------
+
+If you're running into any errors during the execution of the workflow, please check the [FAQ of my Guide](https://civitai.com/articles/15480#faq:) first. The guide is written for the IMG2IMG Workflow but when issues arise that people run into frequently i'll add the solutions and what's hapenning to that FAQ section.
+If you can't find the problem you're running into there - feel free to write me a comment **and include your logs from your comfyui console that show the error** on the model page so that i can help you and other people might benefit from it as well.
+
+Feedback
+--------
+
+I'd love to see your feedback or opinion on the workflow.
+This is the first workflow I have ever created myself from scratch and I'd love to hear what you think of it.
+
+If you want to do me a huge favor, you can post your results on this Model page.
+I'll make sure to send some buzz your way!
\ No newline at end of file
diff --git a/TODO-script.md b/TODO-script.md
new file mode 100644
index 0000000000000000000000000000000000000000..78d94d61250c513efa0f550486f903016329de49
--- /dev/null
+++ b/TODO-script.md
@@ -0,0 +1,3 @@
+- add support of just downloading models and nodes instead of everything (use existing comfy Folder)
+ - but also update all nodes that are already there to newest version
+- fix check for controlnet models (currently no check if they already exist)
\ No newline at end of file
diff --git a/models/IPAdapter/noobIPAMARK1_mark1.safetensors b/models/IPAdapter/noobIPAMARK1_mark1.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..5047cb03b4788ada35b711dfb78af1a779f039cb
--- /dev/null
+++ b/models/IPAdapter/noobIPAMARK1_mark1.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5cdb6a00be1b12579745b5bed0c7b83f0869073d8a864fa8cd50a9356601919a
+size 1405172056
diff --git a/models/README.md b/models/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..8b46582e2c0353d56ddd6aa28da96e7c70ac5be7
--- /dev/null
+++ b/models/README.md
@@ -0,0 +1 @@
+All the models stored here are only stored because i couldn't find an official source and didn't want to rely on 3rd-party people to keep the models uploaded. If your model is among these here, you can always contact me [here](https://civitai.com/user/vslinx) and i'll remove it by your request.
\ No newline at end of file
diff --git a/windows-nvidia.bat b/windows-nvidia.bat
new file mode 100644
index 0000000000000000000000000000000000000000..0813c29730fb5111b2b0b5e18c39f7af511d32f6
--- /dev/null
+++ b/windows-nvidia.bat
@@ -0,0 +1,326 @@
+@echo off
+setlocal enabledelayedexpansion
+
+echo.
+echo ============================
+echo ComfyUI Auto Installer
+echo ============================
+echo.
+
+REM Define paths
+set "comfyPath=%CD%\ComfyUI"
+set "customNodesPath=%comfyPath%\custom_nodes"
+set "venvPath=%comfyPath%\venv"
+set "pythonPath=%venvPath%\Scripts\python.exe"
+set "activateScript=%venvPath%\Scripts\activate.bat"
+
+REM -------------------------------
+REM Check if Python is available
+REM -------------------------------
+where python >nul 2>&1
+if %errorlevel% NEQ 0 (
+ echo Python is not found in PATH.
+ echo Would you like to install Python 3.12 now? [Y/N]
+ set /p "PYINSTALL=Your choice [Y/N]: "
+ if /i "!PYINSTALL!"=="Y" (
+ echo Downloading Python 3.12...
+ %SystemRoot%\System32\curl.exe -L -o python-installer.exe https://www.python.org/ftp/python/3.12.3/python-3.12.3-amd64.exe
+ if not exist python-installer.exe (
+ echo Failed to download Python installer.
+ pause
+ exit /b 1
+ )
+ echo Installing Python 3.12...
+ start /wait python-installer.exe /quiet InstallAllUsers=1 PrependPath=1 Include_test=0
+ del /f python-installer.exe
+ ) else (
+ echo Cannot continue without Python. Exiting...
+ pause
+ exit /b 1
+ )
+)
+
+REM Get Python version from stderr
+for /f "tokens=2 delims= " %%A in ('python -V 2^>^&1') do set PYVERSION=%%A
+
+REM Parse major and minor
+for /f "tokens=1,2 delims=." %%B in ("%PYVERSION%") do (
+ set "PYMAJOR=%%B"
+ set "PYMINOR=%%C"
+)
+
+echo Detected Python version: %PYVERSION%
+if not "%PYMAJOR%.%PYMINOR%"=="3.12" (
+ echo Your current Python version is %PYVERSION%. It may not be supported.
+ echo Would you like to:
+ echo [Y] Install Python 3.12
+ echo [N] Continue using current version
+ set /p "PYCHOICE=Choose [Y/N]: "
+ if /i "!PYCHOICE!"=="Y" (
+ echo Downloading Python 3.12...
+ %SystemRoot%\System32\curl.exe -L -o python-installer.exe https://www.python.org/ftp/python/3.12.3/python-3.12.3-amd64.exe
+ if not exist python-installer.exe (
+ echo Failed to download Python installer.
+ pause
+ exit /b 1
+ )
+ echo Installing Python 3.12...
+ start /wait python-installer.exe /quiet InstallAllUsers=1 PrependPath=1 Include_test=0
+ del /f python-installer.exe
+ )
+)
+
+REM -------------------------------
+REM Check Git
+REM -------------------------------
+git --version >nul 2>&1
+if %errorlevel% NEQ 0 (
+ echo Git not found. Installing Git...
+ powershell -Command "& {Invoke-WebRequest -Uri 'https://github.com/git-for-windows/git/releases/download/v2.41.0.windows.3/Git-2.41.0.3-64-bit.exe' -OutFile 'git_installer.exe'}"
+ if %errorlevel% NEQ 0 (
+ echo Failed to download Git.
+ pause
+ exit /b 1
+ )
+ start /wait git_installer.exe /VERYSILENT
+ del /f git_installer.exe
+ echo Git installed successfully.
+)
+
+REM -------------------------------
+REM Clone ComfyUI
+REM -------------------------------
+if not exist "%comfyPath%" (
+ echo Cloning ComfyUI...
+ git clone https://github.com/comfyanonymous/ComfyUI.git "%comfyPath%"
+) else (
+ echo ComfyUI already exists. Skipping clone.
+)
+
+REM -------------------------------
+REM Create venv
+REM -------------------------------
+if not exist "%venvPath%" (
+ echo Creating virtual environment...
+ python -m venv "%venvPath%"
+)
+
+REM -------------------------------
+REM Activate venv and install deps
+REM -------------------------------
+call "%activateScript%"
+echo Installing CUDA-enabled torch manually...
+"%pythonPath%" -m pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu128
+
+echo Installing dependencies...
+"%pythonPath%" -m pip install --upgrade pip
+"%pythonPath%" -m pip install -r "%comfyPath%\requirements.txt"
+
+REM -------------------------------
+REM Clone custom nodes
+REM -------------------------------
+if not exist "%customNodesPath%" (
+ mkdir "%customNodesPath%"
+)
+
+echo Cloning custom nodes...
+
+set repos[0]=https://github.com/ltdrdata/ComfyUI-Impact-Pack
+set repos[1]=https://github.com/ltdrdata/ComfyUI-Impact-Subpack
+set repos[2]=https://github.com/Smirnov75/ComfyUI-mxToolkit
+set repos[3]=https://github.com/yolain/ComfyUI-Easy-Use
+set repos[4]=https://github.com/pythongosssss/ComfyUI-Custom-Scripts
+set repos[5]=https://github.com/crystian/ComfyUI-Crystools
+set repos[6]=https://github.com/alexopus/ComfyUI-Image-Saver
+set repos[7]=https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes
+set repos[8]=https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet
+set repos[9]=https://github.com/kijai/ComfyUI-KJNodes
+set repos[10]=https://github.com/Fannovel16/comfyui_controlnet_aux
+set repos[11]=https://github.com/vslinx/ComfyUI-vslinx-nodes.git
+set repos[12]=https://github.com/chrisgoringe/cg-image-filter
+set repos[13]=https://github.com/rgthree/rgthree-comfy
+set repos[14]=https://github.com/cubiq/ComfyUI_IPAdapter_plus
+set repos[15]=https://github.com/pythongosssss/ComfyUI-WD14-Tagger.git
+set repos[16]=https://github.com/Comfy-Org/ComfyUI-Manager
+set repos[17]=https://github.com/wallish77/wlsh_nodes.git
+set repos[18]=https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch
+
+for /L %%i in (0,1,18) do (
+ set "repo=!repos[%%i]!"
+ for %%A in (!repo!) do (
+ set "folderName=%%~nxA"
+ set "targetPath=%customNodesPath%\!folderName!"
+
+ if not exist "!targetPath!" (
+ echo - Cloning !folderName!...
+ git clone !repo! "!targetPath!"
+ ) else (
+ echo - !folderName! already exists. Skipping.
+ )
+
+ REM Install requirements if available
+ if exist "!targetPath!\requirements.txt" (
+ echo Installing requirements for !folderName!...
+ "%pythonPath%" -s -m pip install -r "!targetPath!\requirements.txt"
+ )
+ )
+)
+
+REM -------------------------------
+REM Download JSON workflow files
+REM -------------------------------
+set "workflowFolder=%comfyPath%\user\default\workflows"
+if not exist "%workflowFolder%" (
+ mkdir "%workflowFolder%"
+)
+
+REM -------------------------------
+REM Download SAM model (Segment Anything)
+REM -------------------------------
+set "samFolder=%comfyPath%\models\sams"
+if not exist "%samFolder%" (
+ mkdir "%samFolder%"
+)
+
+set "samFile=%samFolder%\sam_vit_b_01ec64.pth"
+if exist "%samFile%" (
+ echo - sam_vit_b_01ec64.pth already exists. Skipping download.
+) else (
+ echo Downloading SAM model...
+ %SystemRoot%\System32\curl.exe -L -o "%samFile%" ^
+ https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth
+)
+
+echo Checking workflow files...
+
+REM Define workflow filenames and URLs
+set workflow[0]=TXT2IMG-ADetailer-v5.0-vslinx.json
+set url[0]=https://huggingface.co/vslinx/ComfyUIDetailerWorkflow-vslinx/resolve/main/workflows/TXT2IMG/v5.0/TXT2IMG-ADetailer-v5.0-vslinx.json
+
+set workflow[1]=IMG2IMG-ADetailer-v5.0-vslinx.json
+set url[1]=https://huggingface.co/vslinx/ComfyUIDetailerWorkflow-vslinx/resolve/main/workflows/IMG2IMG/v5.0/IMG2IMG-ADetailer-v5.0-vslinx.json
+
+REM Loop through and download if not already present
+for /L %%i in (0,1,1) do (
+ call set "file=%%workflow[%%i]%%"
+ call set "link=%%url[%%i]%%"
+ set "path=%workflowFolder%\!file!"
+
+ if exist "!path!" (
+ echo - !file! already exists. Skipping download.
+ ) else (
+ echo ↓ Downloading !file!...
+ %SystemRoot%\System32\curl.exe -L -o "!path!" "!link!"
+ )
+)
+
+echo.
+echo Would you like to download required models (ControlNet, IPAdapter, Upscale Model, etc.)?
+echo [Y] Yes
+echo [N] No
+set /p "download_models=Choose [Y/N]: "
+
+if /i "%download_models%"=="Y" (
+ echo Downloading required models...
+
+ REM Create folders if they don't exist
+ if not exist "%comfyPath%\models\vae" mkdir "%comfyPath%\models\vae"
+ if not exist "%comfyPath%\models\upscale_models" mkdir "%comfyPath%\models\upscale_models"
+ if not exist "%comfyPath%\models\ipadapter" mkdir "%comfyPath%\models\ipadapter"
+ if not exist "%comfyPath%\models\clip_vision" mkdir "%comfyPath%\models\clip_vision"
+ if not exist "%comfyPath%\models\controlnet" mkdir "%comfyPath%\models\controlnet"
+
+ REM Download files
+ echo Downloading VAE...
+ %SystemRoot%\System32\curl.exe -L -o "%comfyPath%\models\vae\sdxl_vae.safetensors" ^
+ https://huggingface.co/stabilityai/sdxl-vae/resolve/main/sdxl_vae.safetensors
+
+ echo Downloading Upscale Model...
+ %SystemRoot%\System32\curl.exe -L -o "%comfyPath%\models\upscale_models\4x_foolhardy_Remacri.pth" ^
+ https://huggingface.co/FacehugmanIII/4x_foolhardy_Remacri/resolve/main/4x_foolhardy_Remacri.pth
+
+ echo Downloading IPAdapter model...
+ %SystemRoot%\System32\curl.exe -L -o "%comfyPath%\models\ipadapter\noobIPAMARK1_mark1.safetensors" ^
+ https://huggingface.co/vslinx/ComfyUIDetailerWorkflow-vslinx/resolve/main/models/IPAdapter/noobIPAMARK1_mark1.safetensors
+
+ echo Downloading CLIP Vision Model...
+ %SystemRoot%\System32\curl.exe -L -o "%comfyPath%\models\clip_vision\CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors" ^
+ https://huggingface.co/XuminYu/example_safetensors/resolve/4b89d7ebd99a9913f0abbec4bf0f54932b11d243/CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors
+
+ echo Downloading ControlNet Canny Model...
+ %SystemRoot%\System32\curl.exe -L -o "%comfyPath%\models\controlnet\noobaiXLControlnet_epsCanny.safetensors" ^
+ https://huggingface.co/Eugeoter/noob-sdxl-controlnet-canny/resolve/main/noob_sdxl_controlnet_canny.safetensors
+
+ echo Downloading ControlNet DepthMidas Model...
+ %SystemRoot%\System32\curl.exe -L -o "%comfyPath%\models\controlnet\noobaiXLControlnet_epsDepthMidasv1-1.safetensors" ^
+ https://huggingface.co/Eugeoter/noob-sdxl-controlnet-depth_midas-v1-1/resolve/main/noob-sdxl-controlnet-depth-midas-v1-1.safetensors
+
+ echo Downloading ControlNet Lineart-Anime Model...
+ %SystemRoot%\System32\curl.exe -L -o "%comfyPath%\models\controlnet\noobaiXLControlnet_epsLineartAnime.safetensors" ^
+ https://huggingface.co/Eugeoter/noob-sdxl-controlnet-lineart_anime/resolve/main/noob-sdxl-controlnet-lineart_anime.safetensors
+
+ echo Downloading ControlNet Lineart-Realistic Model...
+ %SystemRoot%\System32\curl.exe -L -o "%comfyPath%\models\controlnet\noobaiXLControlnet_epsLineartRealistic.safetensors" ^
+ https://huggingface.co/Eugeoter/noob-sdxl-controlnet-lineart_realistic/resolve/main/noob-sdxl-controlnet-lineart_realistic.safetensors
+
+ echo Downloading ControlNet Manga line Model...
+ %SystemRoot%\System32\curl.exe -L -o "%comfyPath%\models\controlnet\noobaiXLControlnet_epsMangaLine.safetensors" ^
+ https://huggingface.co/Eugeoter/noob-sdxl-controlnet-manga_line/resolve/main/noob-sdxl-controlnet-manga-line.safetensors
+
+ echo Downloading ControlNet OpenPose Model...
+ %SystemRoot%\System32\curl.exe -L -o "%comfyPath%\models\controlnet\noobaiXLControlnet_epsOpenPose.safetensors" ^
+ https://huggingface.co/Laxhar/noob_openpose/resolve/main/openpose_pre.safetensors
+
+ echo Downloading ControlNet Softedge Hed Model...
+ %SystemRoot%\System32\curl.exe -L -o "%comfyPath%\models\controlnet\noobaiXLControlnet_epsSoftedgeHed.safetensors" ^
+ https://huggingface.co/Eugeoter/noob-sdxl-controlnet-softedge_hed/resolve/main/noob-sdxl-controlnet-softedge_hed.safetensors
+
+ echo Downloading ControlNet Depth Model...
+ %SystemRoot%\System32\curl.exe -L -o "%comfyPath%\models\controlnet\noobaiXLControlnet_epsDepth.safetensors" ^
+ https://huggingface.co/Eugeoter/noob-sdxl-controlnet-depth/resolve/main/noob_sdxl_controlnet_depth.safetensors
+
+ echo All required models have been downloaded.
+) else (
+ echo Skipping model downloads.
+)
+
+REM -------------------------------
+REM Setup Complete
+REM -------------------------------
+echo.
+echo ============================
+echo Setup Complete!
+echo ============================
+
+REM -------------------------------
+REM Offer to create Desktop shortcut
+REM -------------------------------
+echo Would you like to create a desktop shortcut to start ComfyUI?
+echo [Y] Yes
+echo [N] No
+set /p "MAKE_SHORTCUT=Choose [Y/N]: "
+
+if /i "!MAKE_SHORTCUT!"=="Y" (
+ set "shortcutBat=%USERPROFILE%\Desktop\Start_ComfyUI.bat"
+ echo @echo off > "!shortcutBat!"
+ echo cd /d "%comfyPath%" >> "!shortcutBat!"
+ echo call "%venvPath%\Scripts\activate.bat" >> "!shortcutBat!"
+ echo python main.py >> "!shortcutBat!"
+ echo pause >> "!shortcutBat!"
+ echo Shortcut created on Desktop as Start_ComfyUI.bat
+)
+
+REM -------------------------------
+REM Ask to start ComfyUI
+REM -------------------------------
+echo Would you like to start ComfyUI now?
+echo [Y] Yes
+echo [N] No
+set /p "STARTNOW=Choose [Y/N]: "
+if /i "!STARTNOW!"=="Y" (
+ echo Starting ComfyUI in a new shell...
+ start "" cmd /k ^
+ "cd /d "%comfyPath%" && call "%venvPath%\Scripts\activate.bat" && python main.py"
+)
+
+pause
\ No newline at end of file
diff --git a/workflows/IMG2IMG/v4.0/IMG2IMG-ADetailer-v4.0-vslinx.json b/workflows/IMG2IMG/v4.0/IMG2IMG-ADetailer-v4.0-vslinx.json
new file mode 100644
index 0000000000000000000000000000000000000000..8e91fc500a28dbc1d985553a8943ab57ced37b0e
--- /dev/null
+++ b/workflows/IMG2IMG/v4.0/IMG2IMG-ADetailer-v4.0-vslinx.json
@@ -0,0 +1,9687 @@
+{
+ "id": "c2a73882-44fd-40f0-b5ac-b7a3dbd909c1",
+ "revision": 0,
+ "last_node_id": 518,
+ "last_link_id": 5428,
+ "nodes": [
+ {
+ "id": 42,
+ "type": "UltralyticsDetectorProvider",
+ "pos": [
+ -540,
+ 920
+ ],
+ "size": [
+ 210,
+ 78
+ ],
+ "flags": {
+ "collapsed": false
+ },
+ "order": 0,
+ "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",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "bbox/adetailerNose_.pt"
+ ],
+ "color": "#223",
+ "bgcolor": "#335",
+ "shape": 1
+ },
+ {
+ "id": 76,
+ "type": "UltralyticsDetectorProvider",
+ "pos": [
+ -540,
+ 1160
+ ],
+ "size": [
+ 210,
+ 78
+ ],
+ "flags": {
+ "collapsed": false
+ },
+ "order": 1,
+ "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",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "segm/2DCockAndBallYolo8x.pt"
+ ],
+ "color": "#223",
+ "bgcolor": "#335",
+ "shape": 1
+ },
+ {
+ "id": 20,
+ "type": "UltralyticsDetectorProvider",
+ "pos": [
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+ 800
+ ],
+ "size": [
+ 210,
+ 78
+ ],
+ "flags": {
+ "collapsed": false
+ },
+ "order": 2,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "BBOX_DETECTOR",
+ "type": "BBOX_DETECTOR",
+ "slot_index": 0,
+ "links": [
+ 44
+ ]
+ },
+ {
+ "name": "SEGM_DETECTOR",
+ "type": "SEGM_DETECTOR",
+ "slot_index": 1,
+ "links": [
+ 182
+ ]
+ }
+ ],
+ "title": "Face Ultralytics",
+ "properties": {
+ "cnr_id": "comfyui-impact-subpack",
+ "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8",
+ "Node name for S&R": "UltralyticsDetectorProvider",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "bbox/99coins_anime_girl_face_box.pt"
+ ],
+ "color": "#223",
+ "bgcolor": "#335",
+ "shape": 1
+ },
+ {
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+ "order": 3,
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+ "outputs": [
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+ "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",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "segm/ntd11_anime_nsfw_segm_v1_nipples.pt"
+ ],
+ "color": "#223",
+ "bgcolor": "#335",
+ "shape": 1
+ },
+ {
+ "id": 46,
+ "type": "UltralyticsDetectorProvider",
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+ 1160
+ ],
+ "size": [
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+ ],
+ "flags": {
+ "collapsed": false
+ },
+ "order": 4,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "BBOX_DETECTOR",
+ "type": "BBOX_DETECTOR",
+ "slot_index": 0,
+ "links": [
+ 100
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+ {
+ "name": "SEGM_DETECTOR",
+ "type": "SEGM_DETECTOR",
+ "slot_index": 1,
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+ }
+ ],
+ "title": "Vagina Ultralytics",
+ "properties": {
+ "cnr_id": "comfyui-impact-subpack",
+ "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8",
+ "Node name for S&R": "UltralyticsDetectorProvider",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "bbox/pussy_yolo11s_bbox_best.pt"
+ ],
+ "color": "#223",
+ "bgcolor": "#335",
+ "shape": 1
+ },
+ {
+ "id": 365,
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+ "size": [
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+ "flags": {
+ "allow_interaction": false,
+ "pinned": true
+ },
+ "order": 5,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "Manual & Recommendations",
+ "properties": {
+ "fontSize": 24,
+ "fontFamily": "Arial",
+ "fontColor": "#ffffff",
+ "textAlign": "left",
+ "backgroundColor": "transparent",
+ "padding": 0,
+ "borderRadius": 0,
+ "widget_ue_connectable": {}
+ },
+ "color": "#fff0",
+ "bgcolor": "#fff0"
+ },
+ {
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+ "order": 6,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "Requirements",
+ "properties": {
+ "fontSize": 24,
+ "fontFamily": "Arial",
+ "fontColor": "#ffffff",
+ "textAlign": "left",
+ "backgroundColor": "transparent",
+ "padding": 0,
+ "borderRadius": 0,
+ "widget_ue_connectable": {}
+ },
+ "color": "#fff0",
+ "bgcolor": "#fff0"
+ },
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+ "type": "Label (rgthree)",
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+ "flags": {
+ "allow_interaction": false,
+ "pinned": true
+ },
+ "order": 7,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "vsLinx",
+ "properties": {
+ "fontSize": 52,
+ "fontFamily": "Arial",
+ "fontColor": "#FF4D00",
+ "textAlign": "left",
+ "backgroundColor": "transparent",
+ "padding": 0,
+ "borderRadius": 0,
+ "widget_ue_connectable": {}
+ },
+ "color": "#fff0",
+ "bgcolor": "#fff0"
+ },
+ {
+ "id": 348,
+ "type": "MarkdownNote",
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+ ],
+ "size": [
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+ ],
+ "flags": {
+ "pinned": true
+ },
+ "order": 8,
+ "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!"
+ ],
+ "color": "#222",
+ "bgcolor": "#000",
+ "shape": 1
+ },
+ {
+ "id": 73,
+ "type": "LoraLoader|pysssss",
+ "pos": [
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+ 800
+ ],
+ "size": [
+ 320,
+ 170
+ ],
+ "flags": {},
+ "order": 98,
+ "mode": 4,
+ "inputs": [
+ {
+ "name": "model",
+ "type": "MODEL",
+ "link": 165
+ },
+ {
+ "name": "clip",
+ "type": "CLIP",
+ "link": 166
+ }
+ ],
+ "outputs": [
+ {
+ "name": "MODEL",
+ "type": "MODEL",
+ "links": [
+ 192,
+ 596
+ ]
+ },
+ {
+ "name": "CLIP",
+ "type": "CLIP",
+ "links": [
+ 193
+ ]
+ },
+ {
+ "name": "example",
+ "type": "STRING",
+ "links": []
+ }
+ ],
+ "title": "LoRA 2",
+ "properties": {
+ "cnr_id": "comfyui-custom-scripts",
+ "ver": "bbda5e52ad580c13ceaa53136d9c2bed9137bd2e",
+ "Node name for S&R": "LoraLoader|pysssss",
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+ },
+ "widgets_values": [
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+ "[none]"
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+ "color": "#223",
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+ "shape": 1
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+ {
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+ "size": [
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+ "flags": {
+ "collapsed": false
+ },
+ "order": 9,
+ "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",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "bbox/adetailer2dMouth_v10.pt"
+ ],
+ "color": "#223",
+ "bgcolor": "#335",
+ "shape": 1
+ },
+ {
+ "id": 438,
+ "type": "Primitive boolean [Crystools]",
+ "pos": [
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+ ],
+ "size": [
+ 290,
+ 58
+ ],
+ "flags": {},
+ "order": 10,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "boolean",
+ "type": "BOOLEAN",
+ "links": [
+ 1846
+ ]
+ }
+ ],
+ "title": "Is V-Pred Model",
+ "properties": {
+ "cnr_id": "comfyui-crystools",
+ "ver": "576b44b9b79e3bf4b5d50457a28924d89a42e7e1",
+ "Node name for S&R": "Primitive boolean [Crystools]",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ false
+ ],
+ "color": "#223",
+ "bgcolor": "#335",
+ "shape": 1
+ },
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+ "id": 367,
+ "type": "Label (rgthree)",
+ "pos": [
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+ "size": [
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+ "flags": {
+ "allow_interaction": false,
+ "pinned": true
+ },
+ "order": 11,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "Workflow by",
+ "properties": {
+ "fontSize": 34,
+ "fontFamily": "Arial",
+ "fontColor": "#ffffff",
+ "textAlign": "left",
+ "backgroundColor": "transparent",
+ "padding": 0,
+ "borderRadius": 0,
+ "widget_ue_connectable": {}
+ },
+ "color": "#fff0",
+ "bgcolor": "#fff0"
+ },
+ {
+ "id": 81,
+ "type": "ModelSamplingDiscrete",
+ "pos": [
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+ "size": [
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+ "flags": {
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+ },
+ "order": 110,
+ "mode": 0,
+ "inputs": [
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+ "name": "model",
+ "type": "MODEL",
+ "link": 3204
+ }
+ ],
+ "outputs": [
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+ "name": "MODEL",
+ "type": "MODEL",
+ "slot_index": 0,
+ "links": [
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+ ]
+ }
+ ],
+ "title": "V-Pred Model",
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.14",
+ "Node name for S&R": "ModelSamplingDiscrete",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "v_prediction",
+ true
+ ],
+ "color": "#707070",
+ "bgcolor": "#5c5c5c",
+ "shape": 1
+ },
+ {
+ "id": 161,
+ "type": "ModelSamplingDiscrete",
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+ "size": [
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+ "flags": {
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+ "name": "model",
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+ }
+ ],
+ "outputs": [
+ {
+ "name": "MODEL",
+ "type": "MODEL",
+ "links": [
+ 324
+ ]
+ }
+ ],
+ "title": "EPS Model",
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.27",
+ "Node name for S&R": "ModelSamplingDiscrete",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "eps",
+ false
+ ],
+ "color": "#707070",
+ "bgcolor": "#5c5c5c",
+ "shape": 1
+ },
+ {
+ "id": 282,
+ "type": "WidgetToString",
+ "pos": [
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+ ],
+ "size": [
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+ 154
+ ],
+ "flags": {
+ "collapsed": true
+ },
+ "order": 66,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "any_input",
+ "shape": 7,
+ "type": "*",
+ "link": 1891
+ }
+ ],
+ "outputs": [
+ {
+ "name": "STRING",
+ "type": "STRING",
+ "links": [
+ 3192
+ ]
+ }
+ ],
+ "title": "Modelname for save",
+ "properties": {
+ "cnr_id": "comfyui-kjnodes",
+ "ver": "d57154c3a808b8a3f232ed293eaa2d000867c884",
+ "Node name for S&R": "WidgetToString",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ 0,
+ "ckpt_name",
+ true,
+ "",
+ 2
+ ],
+ "color": "#707070",
+ "bgcolor": "#5c5c5c",
+ "shape": 1
+ },
+ {
+ "id": 16,
+ "type": "ImageUpscaleWithModel",
+ "pos": [
+ -760,
+ 1410
+ ],
+ "size": [
+ 400,
+ 46
+ ],
+ "flags": {
+ "collapsed": true
+ },
+ "order": 79,
+ "mode": 4,
+ "inputs": [
+ {
+ "name": "upscale_model",
+ "type": "UPSCALE_MODEL",
+ "link": 34
+ },
+ {
+ "name": "image",
+ "type": "IMAGE",
+ "link": 3208
+ }
+ ],
+ "outputs": [
+ {
+ "name": "IMAGE",
+ "type": "IMAGE",
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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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+ "[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-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)
\n[ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)
\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)"
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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.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".\n\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 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#### Function Control\nIn the \"Function Control & Basic Prompt Settings\"-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 pre-pended quality prompt, what negative prompt to use across the detailers and if you want to use the IPAdapter to imitate the originals style.\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
\nBe aware that you still have to prompt correctly with IPAdapter.\n\n---\n\n#### Prompts\nConsists of start quality prompts and negative prompts (in the \"Function Control & Basic Prompt Settings\"-Group\" as well as the detailer prompts for each individual bodypart.
\nThere is no automatic append or prepend of the promp, so if you want to use the start quality prompt you should end the prompt itself on a \", \" to make sure it adds itself correctly to the detailer prompts. You can see a full example prompt of the eyes inside the Debug section to get a feel of how these connect and end up in your detailer-node.\n\n---\n\n\n`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.`"
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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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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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+ "properties": {
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+ "fontFamily": "Arial",
+ "fontColor": "#ffffff",
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+ "backgroundColor": "transparent",
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+ "properties": {
+ "widget_ue_connectable": {}
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+ "[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)"
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+ "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"
+ ],
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+ "title": "IPAdapter Model",
+ "properties": {
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\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"
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+ "fontFamily": "Arial",
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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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+ "id": 462,
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+ "name": "SEGM_DETECTOR",
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+ ]
+ }
+ ],
+ "title": "Vagina Ultralytics",
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+ "widget_ue_connectable": {}
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+ "segm/ntd11_anime_nsfw_segm_v4_pussy.pt"
+ ],
+ "color": "#223",
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+ "type": "BBOX_DETECTOR",
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+ {
+ "name": "SEGM_DETECTOR",
+ "type": "SEGM_DETECTOR",
+ "slot_index": 1,
+ "links": [
+ 173
+ ]
+ }
+ ],
+ "title": "Penis Ultralytics",
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+ "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8",
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+ ],
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+ "order": 32,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "Recommended Detailer LoRA's",
+ "properties": {
+ "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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+ "slot_index": 0,
+ "links": [
+ 45,
+ 337,
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+ "ver": "c6056b132d7e155c3ece42b77e08ea45bde1bfef",
+ "Node name for S&R": "SAMLoader",
+ "widget_ue_connectable": {}
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+ "widgets_values": [
+ "sam_vit_b_01ec64.pth",
+ "AUTO"
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+ "color": "#707070",
+ "bgcolor": "#5c5c5c",
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+ "Node name for S&R": "CR Text Concatenate",
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+ "order": 92,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "image",
+ "type": "IMAGE",
+ "link": 5445
+ }
+ ],
+ "outputs": [
+ {
+ "name": "IMAGE_GEN_WIDTH (INT)",
+ "type": "INT",
+ "links": [
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+ 5969
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+ },
+ {
+ "name": "IMAGE_GEN_HEIGHT (INT)",
+ "type": "INT",
+ "links": [
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+ 5968
+ ]
+ }
+ ],
+ "title": "Get Image sizes",
+ "properties": {
+ "cnr_id": "comfyui_controlnet_aux",
+ "ver": "83463c2e4b04e729268e57f638b4212e0da4badc",
+ "Node name for S&R": "ImageGenResolutionFromImage",
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+ {
+ "name": "image2",
+ "shape": 7,
+ "type": "IMAGE",
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+ ],
+ "outputs": [
+ {
+ "name": "IMAGE",
+ "type": "IMAGE",
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+ "type": "BBOX_DETECTOR",
+ "slot_index": 0,
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+ },
+ {
+ "name": "SEGM_DETECTOR",
+ "type": "SEGM_DETECTOR",
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+ }
+ ],
+ "title": "Nipples Ultralytics",
+ "properties": {
+ "cnr_id": "comfyui-impact-subpack",
+ "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8",
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+ "widgets_values": [
+ "segm/Nipple-yoro11x_seg.pt"
+ ],
+ "color": "#223",
+ "bgcolor": "#335",
+ "shape": 1
+ },
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+ "mode": 4,
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+ "type": "MODEL",
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+ },
+ {
+ "name": "clip",
+ "type": "CLIP",
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+ ],
+ "outputs": [
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+ "name": "MODEL",
+ "type": "MODEL",
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+ 7270
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+ },
+ {
+ "name": "CLIP",
+ "type": "CLIP",
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+ },
+ {
+ "name": "example",
+ "type": "STRING",
+ "links": null
+ }
+ ],
+ "title": "LoRA 4",
+ "properties": {
+ "cnr_id": "comfyui-custom-scripts",
+ "ver": "aac13aa7ce35b07d43633c3bbe654a38c00d74f5",
+ "Node name for S&R": "LoraLoader|pysssss",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "Illustrious\\Style\\ghibli_style_illustriousXL.safetensors",
+ 0.8000000000000002,
+ 0.8000000000000002,
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+ "[none]"
+ ],
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+ "bgcolor": "#335",
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+ "title": "How to use",
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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.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".\n\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 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#### Function Control\nIn the \"Function Control & Basic Prompt Settings\"-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 pre-pended quality prompt, what negative prompt to use across the detailers and if you want to use the IPAdapter to imitate the originals style.\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
\nBe aware that you still have to prompt correctly with IPAdapter.\n\n---\n\n#### Prompts\nConsists of the Start Quality Prompt and Negative Prompt (in the \"General Prompt Control\" group), as well as the Detailer Prompts for each individual body part.
\nThere is no automatic append or prepend of any kind to your prompts, so always make sure to end them with a comma and a space (\", \").
\nThe Start Quality Prompt only prepends itself to the detailers. If you want to use a quality prompt for the IMG2IMG transfer as well, simply include it at the beginning of your main prompt.
\nYou can find a full example of an eye prompt in the Debug section to see how everything connects in the detailer node.\n\n---\n\n\n`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
+ },
+ {
+ "id": 50,
+ "type": "Anything Everywhere3",
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+ "flags": {
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+ "order": 132,
+ "mode": 0,
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+ "color_on": "#B39DDB",
+ "label": "MODEL",
+ "name": "anything",
+ "shape": 7,
+ "type": "*",
+ "link": 3187
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+ {
+ "color_on": "#FFD500",
+ "label": "CLIP",
+ "name": "anything2",
+ "shape": 7,
+ "type": "*",
+ "link": 3205
+ },
+ {
+ "color_on": "#FF6E6E",
+ "label": "VAE",
+ "name": "anything3",
+ "shape": 7,
+ "type": "*",
+ "link": 1845
+ }
+ ],
+ "outputs": [],
+ "title": "Checkpoint Everywhere",
+ "properties": {
+ "cnr_id": "cg-use-everywhere",
+ "ver": "8017bc6b063f45db6b986d9fc8bb76bd3234b838",
+ "Node name for S&R": "Anything Everywhere3",
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+ "type": "CLIPTextEncode",
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+ {
+ "name": "text",
+ "type": "STRING",
+ "widget": {
+ "name": "text"
+ },
+ "link": 3902
+ }
+ ],
+ "outputs": [
+ {
+ "name": "CONDITIONING",
+ "type": "CONDITIONING",
+ "links": [
+ 384
+ ]
+ }
+ ],
+ "title": "Nose Clip transform",
+ "properties": {
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+ "Node name for S&R": "CLIPTextEncode",
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+ },
+ {
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+ "type": "STRING",
+ "links": null
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+ "title": "Nose Prompt Concat",
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+ "color": "#707070",
+ "bgcolor": "#5c5c5c",
+ "shape": 1
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+ {
+ "id": 564,
+ "type": "Mute / Bypass Repeater (rgthree)",
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+ "color_off": "#a80",
+ "color_on": "#Fc0",
+ "dir": 4,
+ "name": "OPT_CONNECTION",
+ "type": "*",
+ "links": [
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+ ],
+ "title": "IMG2IMG Transfer",
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+ "type": "IMAGE",
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+ {
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\nThank you for using my Workflow!\n
\n### [Guide](https://civitai.com/articles/15480)"
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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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+ "[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)"
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\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).
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+ "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"
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+ "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)"
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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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+ "#### 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. `"
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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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+ "[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)"
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\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"
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+ "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"
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+ "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)"
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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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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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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.
\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.
\nThe Hi-Res Fix Denoise value is only applied when Hi-Res Fix is enabled and determines how much of the original image is overwritten. A value between 0.25 and 0.35 is recommended.\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.
\nYou can also enable HiRes-Fix, which resamples the upscaled image with a low denoise value to repaint it for higher resolution and quality. It’s recommended to use \"Color Fix\" alongside it to preserve the original colors, as resampling can sometimes wash out contrast.
\nFurthermore 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 recommended body-part LoRA's that i use regularly. `"
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+ "type": "CLIP_VISION",
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+- added high-res fix & color fix (not recommended on upscaled images above 2x/larger than 2048x3072)
+- fixed IMG2IMG Transfer Sampler not using settings from "Sampler Settings"-Group
+- adapted guide notes in workflow
\ No newline at end of file
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+Step-By-Step Guide
+ComfyUI - IMG2IMG All-in-One Workflow
+----------------------------------------------------------
+
+_This guide is for the IMG2IMG workflow you can find_ _[here](https://civitai.com/models/1297813?modelVersionId=2104022)__._
+
+**Workflow description:**
+-------------------------
+
+This workflow is can be used for Image to Image generation.
+It let's you select an initial Input Image and then let's you decide if you'd like to do upscaling, detailing and/or image transfer to create a completely new image based on the composition, styling or features of the initial image.
+You can find some basic examples of what you can use this workflow for under the "Scenarios"-section of this guide.
+
+**Prerequisites:**
+------------------
+
+### 📦 **Custom Nodes:**
+
+* [ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)
+
+* [ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)
+
+* [ComfyUI-mxToolkit](https://github.com/Smirnov75/ComfyUI-mxToolkit)
+
+* [ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use)
+
+* [ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)
+
+* [ComfyUI-Crystools](https://github.com/crystian/ComfyUI-Crystools)
+
+* [ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)
+
+* [ComfyUI\_Comfyroll\_CustomNodes](https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes)
+
+* [ComfyUI-Advanced-ControlNet](https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet)
+
+* [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)
+
+* [ComfyUI\_IPAdapter\_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)
+
+* [ComfyUI-WD14-Tagger](https://github.com/pythongosssss/ComfyUI-WD14-Tagger)
+
+* [comfyui\_controlnet\_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
+
+* [cg-use-everywhere](https://github.com/chrisgoringe/cg-use-everywhere)
+
+* [cg-image-filter](https://github.com/chrisgoringe/cg-image-filter)
+
+* [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)
+
+* [wlsh\_nodes](https://github.com/wallish77/wlsh_nodes)
+
+
+### 📂 **Files:**
+
+**VAE** \- [sdxl\_vae.safetensors](https://huggingface.co/stabilityai/sdxl-vae/blob/main/sdxl_vae.safetensors)
+in models/vae
+
+**SAMLoader** model for detailing - [sam\_vit\_b\_01ec64.pth](https://github.com/facebookresearch/segment-anything?tab=readme-ov-file#model-checkpoints)
+in models/sams
+
+**Upscale Model (My recommendation, Only required if you want to do upscaling)**
+**4x Foolhardy Remacri** \- [4x\_foolhardy\_Remacri.pth](https://huggingface.co/FacehugmanIII/4x_foolhardy_Remacri/blob/main/4x_foolhardy_Remacri.pth)
+**4x RealESRGAN Anime** \- [RealESRGAN\_x4plus\_anime\_6B.pth](https://openmodeldb.info/models/4x-realesrgan-x4plus-anime-6b)
+in models/upscale\_models
+
+**IPAdapter (Only required if you want to copy artstyle from images)**
+**Clip-Vision** \- [CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors](https://huggingface.co/h94/IP-Adapter/blob/main/sdxl_models/image_encoder/model.safetensors) (recommend to rename the model file)
+in models/clip\_vision
+
+**IPAdapter** \- [noobIPAMARK1\_mark1.safetensors](https://civitai.com/models/1000401?modelVersionId=1121145)
+in models/ipadapter
+
+**ControlNet (My recommendations, only required if you want to do IMG2IMG Transfer)**
+**Canny** \- [noobaiXLControlnet\_epsCanny.safetensors](https://civitai.com/models/929685?modelVersionId=1040650)
+**Depth Midas v1.1** \- [noobaiXLControlnet\_DepthMidasv11.safetensors](https://civitai.com/models/929685?modelVersionId=1091944)
+**OpenPose** \- [noobaiXLControlnet\_epsOpenPose.safetensors](https://huggingface.co/Laxhar/noob_openpose/tree/main) (rename)
+**LineartAnime** \- [noobaiXLControlnet\_LineartAnime.safetensors](https://civitai.com/models/929685?modelVersionId=1049196)
+in models/controlnet
+
+**Detailer (My recommendations, only required if you want to do detailing)**
+**Face** \- [maskdetailer-seg.pt](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose), [99coins\_anime\_girl\_face\_m\_seg.pt](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)
+**Eyes** \- [Eyes.pt](https://civitai.com/models/150925/eyes-detection-adetailer), [Eyeful\_v2-Paired.pt](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui), [PitEyeDetailer-v2-seg.pt](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)
+**Nose** \- [adetailerNose\_.pt](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file)(works only/best with anthro noses)
+**Lips/Mouth** \- [lips\_v1.pt](https://civitai.com/models/142240/adetailer-after-detailer-lips-model), [adetailer2dMouth\_v10.pt](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)
+**Hands** \- [hand\_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt), [hand\_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)
+**Nipples** \- [Nipple-yoro11x\_seg.pt](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls), [nipples\_yolov8s-seg.pt](https://civitai.com/models/490259/adetailer-nipples-model)
+**Vagina** \- [ntd11\_anime-nsfw\_segm\_v3\_pussy.pt](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one), [pussy\_yolo11s\_seg\_best.pt](https://civitai.com/models/150234/pussy-adetailer)
+**Penis** \- [cockAndBallDetection2D\_](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)[v20.pt](http://v20.pt/)
+
+**Recommendated Settings:**
+---------------------------
+
+There are two settings that'll make your user experience at least a thousand percent better and i highly recommend doing these two small things.
+
+### **Link visibility**
+
+The first is to deactivate Link visibility, as you can see in the background of this Screenshot the links have gotten quite complex in their structure and i can't bother adding another 50 re-routes to make it clean. So i recommend toggling link visibility in the bottom right corner of your ComfyUI.
+
+
+
+### **AutoCompleter**
+
+My second recommendation is to use the autocomplete settings from pythongosssss's custom-scripts plugin(required for this workflow). Simply go to your settings(cogwheel symbol, bottom left corner) and then navigate to the "pysssss"-option in the sidebar on the left.
+Here activate the "Text AutocompleteEnabled" and "Auto-insert comma" as well as "Replace \_ with space_". I personally have Loras disabled since i'm using Lora loader instead of loading them via prompt. These are my complete settings:_
+
+
+
+Once you have set your preferences you can click on "Manage Custom Words".
+Go to [this model page](https://civitai.com/models/950325/danboorue621-autocomplete-tag-lists-incl-aliases-krita-ai-support) and download the autotag list incl. aliases. Download the newest version and put the file with "merged" in the name somewhere on your pc.
+After that you can click on "Manage Custom Words" and copy the path + filename and then press the "Load" button to the right. Once you do the preview should look like this:
+
+
+
+You now have an autocomplete system for your danbooru tags when creating images for illustrious & noobai. You now get suggestions for tags, artists and characters while also having aliases that automatically switch to the correct tag that the models were trained on for the best prompt accuary. It also automatically appends a comma and an empty space after every tag automatically which will be important once we talk about "start quality prompts" and IMG2IMG transfer later on in this guide. Here is a preview of how it can help you find the right tags:
+
+
+
+**General Term Explanation**
+----------------------------
+
+### **Detailer (ADetailer)**
+
+The Detailer (often called ADetailer) is used to refine specific parts of an image after the initial generation. It detects body parts or facial features—like eyes, hands, or mouth—using object detection (usually with Ultralytics), and then re-renders those areas at higher quality using targeted prompts and LoRAs. It’s great for fixing anatomy issues or enhancing details like eye color or hand shape.
+
+### **IPAdapter (Style/Composition Transfer)**
+
+IPAdapter is a tool for guiding the style, composition, or identity of your image using a reference image. It uses features from a CLIP model to influence the generation process without directly copying the reference. It’s ideal for tasks like transferring a specific pose, lighting, or even a person’s likeness into a new image while keeping your prompts in control.
+
+### **ControlNet (IMG2IMG Transfer)**
+
+ControlNet is a powerful system that allows you to guide image generation using structural inputs like depth maps, poses, line art, or canny edges. It works in an img2img-like fashion—taking your base image and controlling how the new image is generated based on that structure. It’s extremely useful for tasks where you want consistent composition, pose, or layout across different generations.
+
+### **HiRes Fix**
+
+HiRes Fix is a process that takes your generated image, after upscaling, and then re-renders it with a low denoise value to add detail, improve sharpness, and enhance overall quality at higher resolutions. This is not recommended at resolutions above 2048x3072(2x upscale with default settings) since it basically repaints the picture again.
+
+**Node Group Explanation**
+--------------------------
+
+### **Model Backend**
+
+This is where you select the necessary models for each task in the workflow.
+Most steps are pretty self-explanatory. If you're using a Checkpoint that was trained with V-Prediction, make sure to enable the **"Is V-Pred Model"** node.
+
+You can stick with the default SDXL VAE or swap it out for one you prefer—totally up to you.
+
+The **Upscale Model** does not determine how much the image will be upscaled. While that is usually the case we're using a factor slider later on in the workflow that allows you to adjust by how much the image will be upscaled regardless of what the Upscale Model says.
+
+You only need to download and select the IPAdapter model and the corresponding CLIP model if you plan to use IPAdapter. If you're not sure what that is, check out the **"IPAdapter"** section further down in this guide.
+
+The **Patch Sage Attention** node is for advanced users only. Installing **Sage Attention** and **Triton** on Windows can be tricky and time-consuming.
+For image generation, the benefits are minor—around **2–3 seconds faster** per image and **slightly less VRAM** used. It’s more useful for video generation, which isn’t covered here.
+
+If you still want to try it, you can find a guide [here.](https://www.reddit.com/r/comfyui/comments/1hn32jc/step_by_step_video_tutorial_on_installing/)
+
+All files needed to start generating—except for the Checkpoint—are listed in the **Files** section above.
+
+
+
+### **Input Image**
+
+This is where you select your input image for the entire process.
+
+The original resolution doesn’t matter—you don’t need to resize, downscale, or upscale anything beforehand. If you’re only doing inpainting or detailing, the image will keep its original resolution. However, during **img2img transfer** (when generating a new image based on the input), the **aspect ratio will be preserved**, but the **smallest side will be resized to 1024 pixels**. This is because SDXL models and their derivatives were trained on 1024×1024 images, and outputs at this scale generally look the best—regardless of aspect ratio.
+
+
+
+### **Sampler Settings**
+
+This is where you set the sampler settings for the workflow.
+
+**CLIP Skip**, **CFG/Guidance**, **Steps**, **Sampler**, and **Scheduler** are applied globally—they affect both the **detailer** and the **img2img transfer** (if you decide to use it).
+
+**Denoise** and **Seed** settings, on the other hand, are only used for the **img2img transfer**. That's because we'll have individual denoise controls for each body part later on in the **"Detailer Prompts"** group.
+
+The **"Hi-Res Fix Denoise"** slider is only active when **"Enable Hi-Res Fix"** is turned on in the **"General Function Control"** group. It controls how much of the original image is overwritten—lower values mean fewer changes. Since a small amount of denoise is needed for the sampler to work properly, I recommend a value between **0.25 and 0.35**.
+
+Lower denoise values also reduce **VRAM** and **GPU usage**.
+
+
+
+### **Detailer Function Control**
+
+In this section, you simply choose which detailer functionalities you'd like to use.
+
+You can enable or disable each individual body part for detailing or inpainting. If you're not sure what detailing actually does, check out the **"Detailer"** group explanation further down in the guide.
+
+You also have the option to activate a **custom prompt** and a **LoRA** for each specific body part. Prompts can be edited later in the **"Detailer Prompts"** group, while the LoRAs can be changed in the **"Detailer LoRAs"** group.
+
+This setup lets you do things like change the **eye color** using a specific prompt and apply a higher **denoise value** just to that area. You could also use a LoRA specifically designed for **improving hands** during hand detailing to fix bad hands, for example.
+
+
+
+### **General Function Control**
+
+In this section, you can toggle some general features and processes.
+
+**Upscaling** uses the model selected in the **"Model Backend"** group. If you're working with a high-res image and only using the detailer, it's best to turn upscaling off—otherwise, a 4096×4096 image could become 16384×16384. Higher resolutions also slow down the detailing process.
+
+For **img2img transfer**, I recommend leaving upscaling on, since the input is resized to 1024 on the shortest side, and this helps bring it back up after generation.
+
+You can enable **Hi-Res Fix** to resample the upscaled image with a low denoise value, repainting it for higher resolution and improved quality. It’s recommended to use **"Color Fix"** alongside it to preserve the original colors, as resampling can sometimes reduce contrast.
+
+The **Start Quality Prompt** (in the upcoming **"General Prompt Control"** group) automatically prepends itself to every detailer prompt. It’s useful for checkpoints that need specific quality tags.
+
+For example:
+Start Prompt: `masterpiece, best quality, absurdres,`
+Eyes Prompt: `brown eyes`
+Resulting prompt: `masterpiece, best quality, absurdres, brown eyes`
+
+Make sure it ends with a comma and a space for clean merging. You can preview it in the **"Debug"** group.
+
+The **Upscale Factor** determines how much the image will be upscaled **if upscaling is enabled**—**1.0** means no upscaling at all.
+
+**General LoRA Control** toggles global LoRAs from the **"LoRAs"** group. These apply throughout the whole process—great for adding a consistent style or boosting details using a general detailer LoRA.
+
+
+
+### **General Prompt Control**
+
+As mentioned in the **"General Function Control"** group, the **Start Quality Prompt** automatically prepends itself to all detailer prompts—this is completely optional and can be turned off in the previously mentioned group node.
+
+The **Negative Prompt**, on the other hand, is used globally for both **img2img transfer** and all **detailers**, and is a required part of the workflow.
+
+
+
+### **Detailer Prompts**
+
+In this section, you can prompt individual body parts. If you're not sure what the Detailer does, check out the **General Term Explanation** at the top of this guide.
+
+These prompts tell the Detailer what to generate in the regions detected by the Ultralytics model. This is especially helpful if you want to enhance specific features—like changing nail polish color or eye color. It also works well when using a LoRA targeted at a particular body part, allowing you to apply the trigger word only where it's needed.
+
+Another important setting here is the **Denoise** value.
+
+Denoise controls how much of the original shape, form, and color will be replaced:
+
+* A **higher value** will completely overwrite the area.
+
+* A **lower value** will preserve the original form and just enhance it at higher resolution.
+
+
+If the anatomy already looks good and you only want to improve quality, a Denoise value of **0.30 to 0.35** is recommended.
+If the anatomy is off—like extra fingers—you can increase it to **0.50 or higher** and see if the results improve.
+
+As a general rule:
+**The higher the Denoise value, the more the Detailer will ignore what's already in that area.**
+
+
+
+### **IPAdapter Control**
+
+If you're not sure what IPAdapter does, check out the **General Term Explanation** at the top of this guide. But in short: it allows you to transfer the **style and/or composition** of a reference image into your generated image. This works by injecting the visual "likeness" of the reference into the CLIP model during generation. It's especially useful in the **img2img transfer group** to preserve the original style, and even more so during **detailing**, where you want inpainted areas to match the original look.
+
+We won't be using IPAdapter for **composition copying**, since that's handled more effectively with **ControlNet** during img2img transfer.
+
+Enabling **"Enable IPAdapter (Style Transfer)"** turns on the IPAdapter feature. You can think of it like activating a LoRA—it’s most effective when used **without** other LoRAs and with a **base model** that doesn’t already have a strong built-in style. You can control how much influence the adapter has using the **"IPAdapter Style Strength"** slider.
+
+By default, IPAdapter uses the original image you selected in the **"Load Image"** group at the start of the workflow. But if you enable **"Alternative Style Image"**, you can choose a different reference image using the **"Alternative Style Image"** node. This is helpful when you're doing an img2img transfer but want the result to have a different style than the original.
+
+If you enable the **"Low VRAM"** option **alongside IPAdapter**, your input image will be **scaled down** so that the **smallest side is 512px**. This helps reduce the amount of VRAM used when IPAdapter analyzes the image. This will **reduce the quality** of the IPAdapter results, so only use it if you have **less than 12GB of VRAM** and/or can’t run IPAdapter otherwise.
+
+
+
+
+**Important!**
+One downside of using **IPAdapter** is that it can be difficult to change the **color palette** of the image if its influence is set too high. This is because IPAdapter acts like a **very aggressive LoRA**—it essentially copies everything it sees in the reference image, including colors, composition, and lighting.
+
+To work around this, you have a couple of options:
+
+* Add unwanted traits (like a specific hair color) to your **negative prompt**
+
+* **Reduce the IPAdapter strength** to lessen its influence
+
+
+If you want more advanced control, head down to the **"IPAdapter Tiled"** node in the **"Backend – IPAdapter"** group. This is where you can fine-tune how IPAdapter behaves:
+
+* **Change the** `weight_type`
+ Try switching from `"strong style transfer"` to `"style transfer precise"` or just `"style transfer"`. These settings can significantly affect how tightly the final image follows the reference style.
+
+* **Adjust** `start_at` **and** `end_at` **values**
+ These define **when** in the generation process IPAdapter is active. For example, setting them to `0.2` and `0.8` applies the influence during the middle part of the generation rather than the entire time. This lets you preserve the overall style while still allowing changes—like a different hair color—outside that influence window.
+
+* **Modify the** `combine_embeds` **method**
+ This determines **how** the IPAdapter embedding is merged with the CLIP model. Options like `"concat"`, `"average"`, or `"norm average"` affect how strongly IPAdapter overrides what your prompt specifies. If it’s overriding too much, switching methods might give you more balanced results.
+
+
+
+
+This node is explained in more detail [here](https://www.runcomfy.com/comfyui-nodes/ComfyUI_IPAdapter_plus/IPAdapterTiled#ipadapter-tiled-input-parameters), where you can also review what each setting does.
+
+### **IMG2IMG Transfer**
+
+This 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.
+For examples, check out the **"Replace Character in Image"** scenario at the bottom of this guide.
+
+Behind the scenes, this node group uses **automatic interrogation** of the original image with **Danbooru tags** to describe what’s visible. Then, **ControlNet** is used to lock in the composition and character placement.
+
+If you're unfamiliar with ControlNet, refer to the **General Term Explanation** section at the top of the guide. For our use case, the important part is that you always **match the ControlNet model with its corresponding preprocessor** in the **"ControlNet Models"** node.
+
+Let’s walk through the features in this group:
+
+**Enable IMG2IMG Transfer**
+This switches the workflow from detail-only mode to full **img2img transfer**. It lets you take the original image and re-create it with different characters, styles, or other visual changes—while keeping the overall composition and creating a completely new image instead of inpainting the original.
+Use the **"Low VRAM"** option **TOGETHER** with **IMG2IMG Transfer** to reduce VRAM usage during pre-processing and when applying ControlNet. This can affect output quality - especially the anatomy of complicated poses, so only use it if you have **12GB VRAM or less**, or if you want **faster generation** and are okay with lower quality.
+
+**Accuracy Slider** (also known as **ControlNet Strength**)
+This controls how much the original image influences the final result.
+
+* **0** means no influence (the prompt takes full control).
+
+* **1** locks in the original composition completely.
+
+
+A good balance is usually around **0.50–0.60**; I personally use **0.55**.
+If you’ve used ControlNet in A1111 WebUI, this is similar to choosing:
+
+* “**My prompt is more important**” (below 0.50),
+
+* “**Balanced**” (around 0.51–0.55),
+
+* or “**ControlNet is more important**” (above 0.55).
+
+
+Be aware: setting the strength too high will **limit your ability to change features** like hairstyle, clothing, or proportions (e.g., height or bust size).
+
+Also note: the effect depends on the **ControlNet model and preprocessor** you're using.
+For example, the **OpenPose preprocessor** only creates a skeleton of the character’s pose—it doesn’t lock in features like hair or body proportions. This means you can increase accuracy/strength without losing flexibility in how your character looks.
+
+However, OpenPose can struggle with **complex poses** or **multiple characters**, so keep that in mind depending on your image.
+
+The **IMG2IMG prompt** is what gets prepended to the prompt generated from image interrogation. This is where you can add quality tags for the new image, as well as any character-specific or scene-specific details—like the name of the character you're swapping in, or the artist style you'd like to apply.
+
+The **"Exclude tags from interrogation"** option lets you remove certain features from the automatic tag extraction.
+By default, the interrogation process will try to identify everything in the original image—so even if you write a new prompt (e.g., a new character with different features), the system might still include the old tags from the image. If the weights align unfavorably, it could ignore parts of your new prompt and instead favor the extracted tags.
+
+To avoid that, you can list the characteristics you want to exclude. For example, if the original image shows a girl with **short black hair**, **blue eyes**, and a **school uniform**, and you want to replace her with someone who has **long orange hair**, **brown eyes**, and is wearing **pajamas**, you would:
+
+* Write `"orange hair, brown eyes, long hair, pajamas"` in the **IMG2IMG prompt**
+
+* And write `"short hair, black hair, blue eyes, school uniform"` in the **"Exclude tags from interrogation"** field
+
+
+This tells the workflow to leave those unwanted tags out of the final prompt.
+
+To review the full prompt that will be used, check the **"Debug"** group—this is especially helpful for spotting leftover tags you might have missed.
+
+For a full practical example, check the **Scenario** section at the end of this guide, where I walk through how to swap characters in an image step by step.
+
+
+
+**Important!**
+
+A crucial part of achieving good **img2img transfer** results is choosing the **right ControlNet model and preprocessor**.
+At the beginning of this guide, you'll find the **"Files"** section where you can download all the ControlNet models I recommend for **Illustrious-based models**, including **NoobAI** and its derivatives.
+
+Each preprocessor detects the structure of your image differently. As a general rule:
+**The more detailed the preprocessor, the more original features will be preserved.**
+This also means that if your source image has chibi-style features or a younger character design, it may be harder to significantly alter the body type without reducing ControlNet’s overall effectiveness.
+
+For **accurate preservation** of the original look, I recommend:
+
+* **CannyEdge** or **PyraCanny**(More forgiving) as preprocessors, used with the **Canny** ControlNet model
+
+* **AnimeLineArt** preprocessor with the **AnimeLineArt** ControlNet model
+
+
+If you want more **flexibility** in adjusting features like body proportions or facial details, consider using a **depth-based preprocessor**:
+
+* **MiDaS-DepthMap** or **Depth Anything V2**, paired with the **DepthMiDaS V1.1** ControlNet model
+
+
+For cases where you **only care about the character's position**—and not the background, clothing, or fine details—use:
+
+* **OpenPose** preprocessor with the **OpenPose** ControlNet model
+ This will give you a simple skeleton structure of the pose (including hand positions), leaving you maximum control over everything else in the image.
+
+
+### Tips on ControlNet Strength:
+
+* With **less detailed preprocessors** like OpenPose, you can increase **ControlNet Strength (Accuracy)** to better lock in the character’s pose.
+
+* For **Canny** and **Depth**, I recommend a strength of **0.51–0.58**—this keeps the overall composition while still allowing changes to details.
+
+* If the output isn’t what you expected—like the pose being off or your prompt not taking effect—**try a new seed** before adjusting strength. Sometimes a bad seed is all it takes to throw things off.
+
+
+
+
+You can see a preview of your generated pose/composition from the pre-processor in the "Debug"-Group if you click on the square in the "ControlNet Preview"-Node.
+
+### **Before & After**
+
+This section lets you view the **before and after** of the generation process.
+
+Depending on whether you have **upscaling** and/or **Hi-Res Fix** enabled, the preview will appear on the left. The image on the right shows the **final result** after all selected detailing processes have been applied. Once the right image appears, it has also been saved to your **output folder**.
+
+If you want to preview the upscaled image **before** Hi-Res Fix is applied, check the **"Pre-HiRes Fix"** node in the **Debug** section.
+
+
+
+These are the results from using only the **face detailer** and **face prompt** with the default settings enabled:
+
+
+
+### **Detection Models**
+
+In this section, you select the **detection models** for each specific body part.
+
+You can find my recommended models either in the **"Files"** section at the top of this guide or directly inside the workflow under **"Recommended Ultralytics Model"**, located to the left of the layout. There are also many great options available on **[Civitai](https://civitai.com/search/models?modelType=Detection&sortBy=models_v9)** if you want to explore further.
+
+You only need to load the Ultralytics models you plan to use—but keep in mind:
+**If you activate a detailer for a body part but haven’t selected a detection model for it, image generation will fail.**
+
+Ultralytics models are trained to detect specific body parts or features—like hands, faces, clothing, or tails—and are used to automatically **mask those areas** so the detailer knows where to inpaint. For more background on how this works, check the **General Term Explanation** at the top of the guide.
+
+If you don’t plan to use the **nose detailer**, but want to use that slot for something else—like detecting **headwear**—you can absolutely swap it out. The node names themselves don’t really matter. What actually determines what gets detected is your **Ultralytics model** and the prompt you assign to that detailer in the **Detailer Prompts** section.
+
+
+
+### **LoRA's**
+
+In this area, you can select **general LoRAs** to apply across the entire process. These LoRAs will be used for **both image generation and all detailers**, so they affect the whole workflow.
+
+Only enable LoRAs here if you want to apply a consistent **style** or **character** to the entire image from start to finish.
+
+If you're unsure about the difference between **CLIP strength** and **model strength**, it's best to keep both set to the **same value** for consistent results.
+
+
+
+### **Detailer LoRA's**
+
+These **detailer LoRAs** are applied **only** to the specific body part being detailed. This is useful if you have a LoRA trained to enhance certain features—like eyes, hands, or other detailed areas.
+
+If you want to improve quality but don’t have a LoRA tailored to that body part, you can also use a **general detail-enhancer**, which you’ll find in the **"Recommended Detailer LoRAs"** node inside the workflow.
+
+
+
+### **Detailer**
+
+This is where the **detailing magic** happens. The Ultralytics model detects the body part it was trained to recognize, and that area is then **inpainted at the final resolution** to fix blurry details, incorrect anatomy, or off colors.
+
+Each detailer comes with **recommended default settings**, but you still have full control over **CFG, sampler, scheduler, and steps** via the **"Sampler Settings"** group at the top of the workflow.
+The other key setting is the **denoise value**, which you can adjust in the **"Detailer Prompts"** group.
+
+For a full breakdown of what each parameter does, check out the documentation [here](https://www.runcomfy.com/comfyui-nodes/ComfyUI-Impact-Pack/FaceDetailer).
+
+
+
+### **Debug**
+
+This section is here to help you **analyze any issues** that might come up during image generation.
+
+The note inside the "Debug" group already provides a solid explanation of most of what's happening under the hood.
+
+The **"Show full IMG2IMG Transfer Prompt"** node displays the combined result of your **IMG2IMG transfer prompt** and the **interrogated prompt** from your original image.
+
+Use this to:
+
+* **Check which tags** were extracted from the original image
+
+* **Remove unwanted tags** by adding them to the **"Exclude from Interrogation"** node in the **"IMG2IMG Transfer"** group
+
+* **Verify prompt formatting**, especially making sure your IMG2IMG prompt ends with a **comma and a space** to ensure a clean, cohesive prompt
+
+
+The **"Show example eye prompt"** node is especially useful if you're using the **"Start Quality Prompt"** from the **"General Function Control"** group. It shows how the prompts are being combined so you can better understand what the detailer is actually working with.
+
+Next are all the **Detailers** for each body part. Here, you can check the individually processed sections of the image if you have detailers enabled. This allows you to spot any issues that might occur during detailing.
+
+Clicking the rectangle next to a detailer’s name will show its preview:
+
+* If the preview shows the **full image**, the detailer wasn’t activated.
+
+* If the preview is **completely black**, the Ultralytics model didn’t detect any body parts matching what it was trained to find.
+
+
+If that happens, try using a different **detection model** or adjusting the **detailer’s parameters**. For guidance, see the **"Detailer Parameters"** node located to the left.
+
+**ControlNet Preview** shows the image generated during **IMG2IMG transfer**, which serves as the base for your final image.
+
+**Pre-HiRes Fix** displays a preview of the image before the **Hi-Res Fix** process is applied.
+
+
+
+**Scenarios:**
+--------------
+
+We will be using this sample image as the base for these examples:
+
+
+
+### Detail features of image
+
+If you simply want to **detail an existing image**, it's as easy as loading your image into the **"Load Image"** node, selecting the **detailers** you want to use, and enabling any other processes you'd like to include.
+
+You can also generate a completely new image with a different **character** or **style** by exploring the **"Replace Character in Image"** or **"Change Style"** scenarios included in this guide.
+
+For best results, I recommend using a **neutral checkpoint**—one that doesn’t have strong styling baked in. This helps preserve the original image more faithfully. Pairing it with **IPAdapter** further maintains the original style, making it much easier to apply detailing without needing to test multiple checkpoints or LoRAs to get the look right.
+
+With just a few simple settings, you can dramatically improve image quality:
+
+
+
+The results below show how **blurry areas in the face and hands**—often caused by upscaling—have been successfully fixed:
+
+
+
+### Replace character in image
+
+The goal of this scenario is to generate an image that **preserves the style of the original** while **changing the character**. To do this, we’ll use **IMG2IMG Transfer** to create a new image with a custom prompt, and **IPAdapter** to transfer the original image’s style.
+
+First, select a **Checkpoint that doesn’t have heavy styling baked in**. In this example, I’m using the **[NoobAICyberFix](https://civitai.com/models/913998?modelVersionId=1122850)** [](https://civitai.com/models/913998?modelVersionId=1122850) checkpoint—it has great anatomy and keeps styling minimal, which makes it a solid base for this kind of task.
+
+Next, activate the **IPAdapter** and set a style strength. You may need to experiment with this value—IPAdapter tends to **strongly copy the original color palette**, which can make it difficult to change features like **hair color** if the strength is set too high.
+
+
+
+Next, we’ll activate the **IMG2IMG Transfer** and choose a **Canny preprocessor** along with a compatible **ControlNet model**. In this example, I’m using the **PyraCanny PreProcessor**, which gives a highly accurate representation of the original composition while still allowing for minor changes. I’ve set the **accuracy (strength)** to **0.55** for the first run to strike a balance between structure and flexibility.
+
+Now I’ll add my **IMG2IMG prompt**, including some quality tags at the beginning. For this example, I want to swap the original character with **Inoue Orihime** from _Bleach_, so my prompt looks like this:
+
+`masterpiece, best quality, absurdres, amazing quality, inoue orihime, brown eyes, orange hair, long hair, large breasts,`
+
+
+
+The result after image generation looks like this:
+
+
+
+As we can see, the result already looks pretty good—but there are still a few issues, like some **discoloration in the hair** and the **purple eyes**, which don’t match the prompt.
+
+The cause is easy to identify once we head down to the **Debug** section of the workflow and check the **"Show full IMG2IMG Transfer Prompt"** node. There, we can see the full prompt after interrogation, which looks like this:
+
+`masterpiece, best quality, absurdres, amazing quality, inoue orihime, brown eyes, orange hair, long hair, large breasts, 1girl, solo, long hair, looking at viewer, blush, smile, bangs, skirt, brown hair, school uniform, standing, purple eyes, ponytail, short sleeves, cowboy shot, pleated skirt, serafuku, sailor collar, blue skirt, neckerchief, blue background, index finger raised, finger to mouth`
+
+Clearly, some tags—like **brown hair** and **purple eyes**—are still being picked up from the original image. To fix this, I’ll add any tags I don’t want in the final result to the **"Exclude Tags from Interrogation"** node. This helps ensure the output sticks closer to my intended prompt.
+
+
+
+After adding this change my result would now look like this:
+
+
+
+If I now want to change the **hairstyle**, I have a few options:
+
+1. **Decrease the Accuracy (Strength)**
+ Lowering the ControlNet strength gives the model more freedom to follow your prompt rather than sticking closely to the original image.
+
+2. **Switch to the OpenPose PreProcessor and ControlNet Model**
+ Since this is a relatively simple pose, OpenPose can easily detect it. Using a **less detailed preprocessor** like OpenPose gives you more flexibility to change visual features such as hair, clothing, or body proportions.
+
+3. **Explicitly prompt the desired hairstyle**
+ Add the specific hairstyle you want directly to your prompt. This can help override details retained from the original image—especially when combined with reduced ControlNet strength.
+
+
+Simply adding **"straight hair"** to the IMG2IMG prompt results in an output where the **body proportions from the original image are preserved**, but the **hairstyle is updated**:
+
+
+
+Switching the **PreProcessor** to **OpenPosePreprocessor** and using the **OpenPose ControlNet model** allows you to **ignore the original body proportions entirely** and focus solely on preserving the pose. This gives your checkpoint full freedom to depict the character according to how it was trained, without being constrained by the original image’s features:
+
+
+
+To show how easy it is to **replace characters** with this you can simply change `inoue orihime, brown eyes, orange hair, long hair, large breasts,` to `shihouin yoruichi, yellow eyes, slit pupils, medium breasts,` and the result would look like this (using OpenPose for ControlNet):
+
+
+
+### Change style of image
+
+Changing the **style of an entire image** is incredibly easy with this workflow.
+
+Start by selecting all the processes you want to include—like **upscaling**, **detailers**, and any other enhancements—then simply activate the **IMG2IMG Transfer** function.
+
+If your only goal is to **recreate the image in a different style**, I recommend the following:
+
+* Leave the **"Exclude Tags from Interrogation"** node **empty**
+
+* Add only the **default quality tags** from your checkpoint or LoRAs to the **IMG2IMG prompt**
+
+* Use a **high-accuracy preprocessor**, such as **CannyEdgePreprocessor**, along with the **Canny ControlNet model**
+
+
+If you want to **faithfully replicate the composition** without changing anything else, increase the **ControlNet Accuracy (Strength)**. I usually set it to **0.55**, but in this case—since I want to copy everything exactly—I’ve increased it to **0.65**.
+
+
+
+These settings result in this image together with an Anime styled LoRA that i'm using:
+
+
+
+Next, I checked the **"Show full IMG2IMG Transfer Prompt"** node in the **"Debug"**\-Group and saw the following output:
+
+`masterpiece, best quality, absurdres, amazing quality, 1girl, solo, long hair, looking at viewer, blush, brown hair, smile, bangs, skirt, school uniform, standing, purple eyes, ponytail, short sleeves, cowboy shot, pleated skirt, serafuku, sailor collar, blue skirt, neckerchief, blue background, index finger raised, finger to mouth`
+
+To finalize the result, I added a couple of elements the interrogation either missed or misidentified. In this case, I added `"stars, vignetting, black hair"` to the **IMG2IMG prompt** and added `"brown hair"` to the **"Exclude Tags from Interrogation"** node—since I wanted to adjust the hair color slightly.
+
+I ran it again, and here’s the final result:
+
+
+
+If you want to change the **style of an image** without using a LoRA, you can use the **IPAdapter** instead. By enabling **"Alternative Style Image"** in the **"IPAdapter Control"** node, you can copy the style from a completely different reference image.
+
+In this example, I used the **alternative image** shown in my settings above. I simply activated both **"IPAdapter"** and **"Alternative Style Image"**, and ended up with this result:
+
+
+
+FAQ:
+----
+
+### SAMLoader 21: Value not in list: model\_name: 'sam\_vit\_b\_01ec64.pth' not in \[\]
+
+If you get this error it's because your ComfyUI Installation is missing the SAM ViT-B Model.
+This is usually included in the standard ComfyUI installation but can be left out if you download specific versions like the portable comfy version. You can fix this issue by doing either of these:
+
+* Go into your ComfyUI Manager, then click on Model Manager(should be somewhere in the middle) and then search for the ["ViT-B Sam"-Model](https://i.gyazo.com/5cc96ed026eeb3368affe74db032a4eb.png) and install it.
+
+* Download the model [here](https://huggingface.co/datasets/Gourieff/ReActor/blob/main/models/sams/sam_vit_b_01ec64.pth) for example.
+ And move it into your models/sams folder
+
+
+### I'm missing one of these nodes "workflowStart quality prompt", "workflowEnd quality prompt" or "workflowControlNet Models"
+
+This error appears when you either haven't installed all the necessary comfyui custom nodes or your comfyui has not cleared it's cache. If you have this issue do the following:
+
+* Make sure you have all the custom nodes installed as listed in the workflow, the model page (check for your specific version in the description) or at the top of this guide
+
+* Check your ComfyUI Console where you've started comfyui and make sure none of the nodes say (IMPORT FAILED) when loading them, if one of them do - do the following:
+
+ * Inside ComfyUI open your [ComfyUI-Manager](https://github.com/Comfy-Org/ComfyUI-Manager) (install it if you haven't yet)
+
+ * Click on Custom Nodes Manager
+
+ * In the top left corner change the filter to "Import failed"
+
+ * Wait till it loads and on the node/s where it failed click on "Try fix"
+
+ * After it's done loading close down your comfyui (including the console where u started it)
+
+ * Start ComfyUI again, once it's started you can open it in the browser again, make sure to click "refresh" in your browser once.
+
+* If you have all custom nodes installed and none of them fail, you can open your [ComfyUI-Manager](https://github.com/Comfy-Org/ComfyUI-Manager) (install it if you haven't yet) and click on "Custom Nodes Manager", here click on "Filter" in the top left corner and change it to "Update". ComfyUI is now going to check if any of your nodes can be updated, if there's an update available make sure to update every node.
+
+* Close ComfyUI completely, including your console where you started ComfyUI.
+ Start ComfyUI again and once it's done loading go into your browser and enter the comfyui address. Once comfyui is loaded you close all open workflows, click the "refresh" button (Default is F5-Button) and then open the workflow again.
+
+* ComfyUI should now have cleared the cache and when you open/drag the workflow in comfyui again it should work without problems.
+
+
+### **Loop Detected TypeError: Cannot read properties of undefined (reading '0') at...**
+
+If you're getting this error it's most likely because of the recent huge changes to Comfy which are going to replace Node-Groups with Subgraphs. This Workflow still uses Node-Groups as of now since it's the simpler solution but will be upgraded soon when node-groups are being deprecated.
+The issue is caused by the cg-use-everywhere custom-node. So if you're getting this error message, make sure you do the following:
+
+* Update comfy to the newest Version
+
+* Update the comfy-frontend of your comfy instance
+
+ * You can do this by adding "--front-end-version Comfy-Org/ComfyUI\_frontend@latest" as a start parameter of your main.py - check how to [here](https://comfyui-wiki.com/en/tutorial/basic/how-to-update-comfyui#how-to-upgrade-the-comfyui-web-frontend).
+
+* Open your Comfy-Manager and make sure all custom nodes are up-to-date by going into your "Custom Nodes Manager" and then click on "Filter" in the top left corner and change it to "Update". ComfyUI is now going to check if any of your nodes can be updated, if there's an update available make sure to update every node (especially cg-use-everywhere).
+
+* Close ComfyUI completely, including your console where you started ComfyUI.
+ Start ComfyUI again and once it's done loading go into your browser and enter the comfyui address. Once comfyui is loaded you close all open workflows, click the "refresh" button (Default is F5-Button) and then open the workflow again.
+
+* ComfyUI should now have cleared the cache and when you open/drag the workflow in comfyui again it should work without problems.
+
+
+Thank you for reading the guide or at least the parts that help you, if you have any more questions feel free to leave them as a comment in either the model or here in the guide.
+As more questions will come my way i'll make sure to add answers to the FAQ.
+So if you have an issue that is not listed in the FAQ right now, just ask away and i'll help to the best of my abilities!
+Enjoy generating ♥️
\ No newline at end of file
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\nThank you for using my Workflow!\n
\n### [Guide](https://civitai.com/articles/15480)"
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+ "[ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)
\n[ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)
\n[ComfyUI-mxToolkit](https://github.com/Smirnov75/ComfyUI-mxToolkit)
\n[ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use)
\n[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)
\n[ComfyUI-Crystools](https://github.com/crystian/ComfyUI-Crystools)
\n[ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)
\n[ComfyUI_Comfyroll_CustomNodes](https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes)
\n[ComfyUI-Advanced-ControlNet](https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet)
\n[ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)
\n[ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)
\n[ComfyUI-WD14-Tagger](https://github.com/pythongosssss/ComfyUI-WD14-Tagger)
\n[ComfyUI-vslinx-nodes](https://github.com/vslinx/ComfyUI-vslinx-nodes)
\n[cg-use-everywhere](https://github.com/chrisgoringe/cg-use-everywhere)
\n[cg-image-filter](https://github.com/chrisgoringe/cg-image-filter)
\n[rgthree-comfy](https://github.com/rgthree/rgthree-comfy)
\n[wlsh_nodes](https://github.com/wallish77/wlsh_nodes)"
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+ "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"
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+ "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"
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+ "### You are free to remove the connections for pre-filled values like steps, cfg, sampler name & scheduler. (Don't disconnect denoise, you can set it conveniently in the \"Detailer Control-Group\") \n### Usually you will receive better results by tweaking these settings but it requires some fiddling, so here are some general tips:\n\n``sampler_name``: DPM++ 2M(dpmpp_2m) or UniPC for clean, stable detail. Less drastic changes to the input image.\n\n``scheduler``: karras (keeps more steps in the low-noise region, better for inpainting).\n\n``steps``: 20–24 for most (faces/lips); 18–22 for eyes; 24–28 for hands/genitals when fixes are hard.\n\n``cfg``: 5.0–6.0 (lower avoids crunchy noise; raise sparingly).\n\n---\n\nBy default, **negative prompts** are shared with the main image generation. \nTo use a custom one, connect a new **\"CLIP Text Encode (Prompt)\"** to the \"negative\" connection in the Detailer inside the `\"Detailer\"` group.\n"
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+ "#### ← To the left you can find the LoRA selectors for each specific body-part.
\n#### To the bottom left of this note, right below the \"Detailer LoRA's\"-Node, you can find my recommendations to improve the quality for body-specific parts even further.\n\n---\n\n#### → To the right are the Detailers, open the nodes, after activating them above, by clicking the rectangle to the left of their name and then adapt the settings to your needs to improve your results even further. These are the most important parameters to improve your results:
\n\n``Positive Prompt Node (Detailer Control-Group)`` — Use optional body-part positive prompts in the \"Detailer prompts\"-Group. \n Use **body-part specific LoRA’s** for best results.\n\n``guide_size`` — Target short-side pixels for each crop before inpaint. Higher = more detail, more VRAM.\n\n``max_size`` — Cap on the crop’s long side after resizing. Prevents huge crops; set ≥ largest expected crop to avoid downscaling.\n\n``feather`` — Blur on the blend mask edges. Higher = smoother seams, less edge noise (but slightly softer detail).\n\n``bbox_threshold`` — Detector confidence cutoff. Higher = fewer, surer detections; lower = more/looser boxes.\n\n``bbox_dilation`` — Extra pixels added around each bbox (padding). More context → more natural blends.\n\n``bbox_crop_factor`` — Multiplies bbox size before cropping (e.g., 1.2 = +20%). Similar to dilation but proportional.\n\n``sam_dilation`` — Dilate/erode SAM mask by pixels. Positive = expand mask, negative = tighten.\n\n``sam_threshold`` — Confidence cutoff for SAM mask. Lower = larger masks; higher = tighter masks.\n\n``sam_bbox_expansion`` — Scale factor applied to bbox before running SAM (e.g., 1.2 = +20%).\n\n``sam_mask_hint_threshold`` — Threshold for using hint logits with SAM; higher trusts hints less.\n\n``drop_size`` — Minimum mask/crop size (px). Filters tiny false positives.\n\n``noise_mask_feather`` — Feather for the noise application inside the mask. Higher = smoother noise transition, fewer gritty rims.\n\n``cycle`` — How many times to detail the detected region(s). >1 can refine tough areas at extra cost.\n\n---\n\n### Rule of thumb(for 2x upscaled):\n>Start with ``guide_size`` 896–1024 (eyes 896–1024; face 1024–1536+ if the face is large).\n\n>Set ``max_size`` near your image long side (or 1536–2048 if VRAM is tight).\n\n>Use ``feather`` 24–48 (smaller areas ≈20–28; larger areas ≈32–48).\n\n>Keep ``noise_mask_feather`` ≈ 24–36 (small vs. large areas)."
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\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."
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+ "## ← 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."
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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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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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+ "## First Row\n\n#### Input Image\nHere you select your input image for the IMG2IMG process that you want to use throughout the complete process. Thanks to the custom node you can select multiple images at once and they'll be processed one after another.\n\n---\n\n\n#### Sampler Settings\nThese settings will be used during all steps of the process. The Sampler, Scheduler, Steps, CFG/Guidance and CLIP Skip settings will be used in the image generation(IMG2IMG Transfer) as well as the detailer. The Denoise and Seed settings are only used during IMG2IMG Transfer.\n\n---\n\n#### General Function Control\nIn the \"General Function Control\"-Group you can select if you want to upscale your output image, as well as the factor by which you want to upscale and if you want to use a prepended quality prompt for the detailers that are being used.
\nYou can also enable HiRes-Fix, which resamples the upscaled image with a low denoise value to repaint it for higher resolution and quality.
\nThe Hi-Res Fix Denoise value is only applied when Hi-Res Fix is enabled and determines how much of the original image is overwritten. A value between 0.25 and 0.35 is recommended.
It’s recommended to use \"Color Fix\" alongside it to preserve the original colors, as resampling can sometimes wash out contrast.\n\n---\n\n#### General Prompt Control\nHere you can set the Start quality prompt that you'll be able to use throughout the detailers as well as the negative prompt that will be used across every process of this workflow.\n\n---\n\n\n#### LoRA's\nIn this group you can add as many LoRA's to the general process as you want. These LoRA's will be applied to the whole process including detailing, hires fix, detailers etc. to keep consistent styles/characters across your generation. Simply click the \"+ Add Lora\"-Button in the Node and select your LoRA. You can toggle single ones or all of them by the switch button in front of the names/at the top respectively. To remove LoRA's simply rightclick on their name and click \"Remove\".\n\n---\n\n#### Detailer Control\nIn the \"Detailer Control\"-Group you can select which Detailers to run, what manual body part prompts to activate as well as one \"Denoise\"-Slider and one prompt field for each body part that has a detailer.
The prompt field is there to let you define what should be inpainted into the detail area while the denoise slider controls how much of the original shape, form, and color will be replaced.
A high value will completely overwrite the area while a lower value will preserve the original form (and color depending on how low) and just enhance it at a higher resolution.
If the anatomy already looks good and you only want to improve quality, a denoise value of 0.25 to 0.35 is recommended. If the anatomy is off - like extra fingers - you can increase it to 0.5 or higher and see if the results improve.
The higher your denoise value - the higher impact your prompt has. You can also leave the prompt deactivated (At the top) and only use a low denoise value to simply detail the area in a higher resolution without changing too much of what's being shown.
As a general rule for the denoise setting you can remember that the higher the denoise value, the more the detailer will ignore what's already in that area. \n\n---\n\n#### IPAdapter\nIPAdapter let's you copy the style of an image simply by providing an IPAdapter Model & a Clip Model.
\nIt basically works as a 1-Image-LoRA that injects itself into the Model and applies the style of the image like a LoRA.
\n
\nIf you use the \"Low VRAM\"-Option, ALONGSIDE the IPAdapter, your input image will be scaled down to a resolution where your smallest side of the image has 512px to decrease the VRAM usage that IPAdapter needs to analyze the image.
\nBe aware that you still have to prompt correctly with IPAdapter.\n\n---\n\n#### IMG2IMG Transfer\nThis section lets you use any image as a base to create a new one with the same composition and elements, while still giving you creative control over what’s shown. In short, it allows you to recreate or \"copy\" an image with your own characters, styling, or prompts.
\nThe positive prompt also supports dynamic prompts including files and wildcards. To see the full documentation on what you can do with that check the node-documentation [here](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/ImpactWildcard.md). If you want to use dynamic prompts with files they'll have to be in the respective folder BEFORE you start comfyui to be recognized, refreshing alone will not load them.
\nTo use this effectively please check the guide [here](https://civitai.com/articles/15480) under \"IMG2IMG Transfer\" for a full explanation.\nUse the \"Low VRAM\"-Option ALONGSIDE the IMG2IMG Transfer to reduce required/used VRAM during the Pre-Processing and appliance of the ControlNet to the image. This also impacts results so only use it if you have 12GB VRAM or less or if you want faster generation and don't mind a decrease in quality.\n\n---\n\n#### Before & After\nSimply gives you a preview of your image as it processes. The left node shows your image after upscaling/hires fix (if either or both are activated) while the right shows you your image after detailing. To see a preview after upscaling but before the hires fix check the \"Pre-HiRes Fix\"-Node in the Debug-Group below this node.\n\n---\n\n## Second Row\n\n#### Model Backend\nIn the **Model Backend** group, choose your Checkpoint, VAE and Upscale Model.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".
\nIf you have a checkpoint that uses a baked in VAE you can disable the \"Seperate VAE\"-Switch to use the in-built VAE of the checkpoint.\n\nOnly use \"Patch Sage Attention\" if you know what you do. You need to install triton on your PC which can be a lengthy and troublesome undertaking while only giving you a miniscule speed boost of maybe 2-3 seconds per image. You can find a guide for it [here](https://www.reddit.com/r/comfyui/comments/1hn32jc/step_by_step_video_tutorial_on_installing/).\n\n---\n\n#### Refiner Backend\nHere you can select if you want to use the normal Sampler or the Refiner Sampler - followed by options to add a refiner checkpoint, a slider for the steps that should be spent on the base checkpoint and LoRA's that'll be exclusively used during the 2nd sampling phase done with the refiner. If you don't know what a refiner is, check the \"Refiner\"-Note to the bottom right of the Refiner Backend.\n\n---\n\n#### Detection Models\nHere you select your ultralytics detection models that are trained specifically to find certain body parts and mask them so the detailer can inpaint these areas. You can find some recommendations for these in the \"Recommended Ultralytics Models\"-Node to the right or on civitai [here](https://civitai.com/search/models?modelType=Detection&sortBy=models_v9). Ultralytics are not model specific, so even if it's listed as SD1 you can use them for every other checkpoint.\n\n---\n\n#### Detailer LoRA's\nSimilar to the LoRA selection in the first Row you can select as man LoRAs as you want here. Each one of them is only injected into the corresponding detailer. Therefore you can use LoRAs that are specifically made for certain body parts. Some recommendations are in the \"Recommended Detailer LoRA's\"-Note to the right directly under the \"Detailer LoRA's\"-Group.\n\n---\n\n#### Detailer\nThis is where the magic happens - here the ultralytics models are being used to find your areas, mask them and then inpaint them using your set values. To find out more and some recommendations read the note to the left of it and underneath it.\n\n---\n\n#### Debug\nHere you will find some helpers throughout the workflow that give you some background information and might help you find problems during your generation if you're running into issues. More information on what everything there does is inside the note in the group or in the \"Debug\"-Section of [this](https://civitai.com/articles/15480) guide."
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+ "### 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."
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+- dynamic prompts/wildcards now supported through Impact-Pack, syntax [here](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/ImpactWildcard.md) - txt files have to be in the folder BEFORE comfy starts to be recognized
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+- moved all model selection stuff into second row for more streamlined process
+- removal of all group nodes & abstraction through subgraphs
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+- fixed modelname not saving correctly for civitai
+- overhauled notes in the workflow for better understanding & improving your results
+- global clipskip now happens AFTER lora loading (correct implementation, no difference to outcome quality)
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+_wanted to add recommended detailer values you can just activate/deactivate (more vram but better results) but this is currently not possible since multiple custom_nodes still cause issues with subgraphs being bypassed_
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\nThank you for using my Workflow!\n
\n### [Guide](https://civitai.com/articles/15480)"
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+ "[ComfyUI Impact Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)
\n[ComfyUI Impact Subpack](https://github.com/ltdrdata/ComfyUI-Impact-Subpack)
\n[ComfyUI-mxToolkit](https://github.com/Smirnov75/ComfyUI-mxToolkit)
\n[ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use)
\n[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)
\n[ComfyUI-Crystools](https://github.com/crystian/ComfyUI-Crystools)
\n[ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)
\n[ComfyUI_Comfyroll_CustomNodes](https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes)
\n[ComfyUI-Advanced-ControlNet](https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet)
\n[ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)
\n[ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)
\n[ComfyUI-WD14-Tagger](https://github.com/pythongosssss/ComfyUI-WD14-Tagger)
\n[ComfyUI-vslinx-nodes](https://github.com/vslinx/ComfyUI-vslinx-nodes)
\n[cg-use-everywhere](https://github.com/chrisgoringe/cg-use-everywhere)
\n[cg-image-filter](https://github.com/chrisgoringe/cg-image-filter)
\n[rgthree-comfy](https://github.com/rgthree/rgthree-comfy)
\n[wlsh_nodes](https://github.com/wallish77/wlsh_nodes)"
+ ],
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+ "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"
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+ "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"
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+ "### You are free to remove the connections for pre-filled values like steps, cfg, sampler name & scheduler. (Don't disconnect denoise, you can set it conveniently in the \"Detailer Control-Group\") \n### Usually you will receive better results by tweaking these settings but it requires some fiddling, so here are some general tips:\n\n``sampler_name``: DPM++ 2M(dpmpp_2m) or UniPC for clean, stable detail. Less drastic changes to the input image.\n\n``scheduler``: karras (keeps more steps in the low-noise region, better for inpainting).\n\n``steps``: 20–24 for most (faces/lips); 18–22 for eyes; 24–28 for hands/genitals when fixes are hard.\n\n``cfg``: 5.0–6.0 (lower avoids crunchy noise; raise sparingly).\n\n---\n\nBy default, **negative prompts** are shared with the main image generation. \nTo use a custom one, connect a new **\"CLIP Text Encode (Prompt)\"** to the \"negative\" connection in the Detailer inside the `\"Detailer\"` group.\n"
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+ "#### ← To the left you can find the LoRA selectors for each specific body-part.
\n#### To the bottom left of this note, right below the \"Detailer LoRA's\"-Node, you can find my recommendations to improve the quality for body-specific parts even further.\n\n---\n\n#### → To the right are the Detailers, open the nodes, after activating them above, by clicking the rectangle to the left of their name and then adapt the settings to your needs to improve your results even further. These are the most important parameters to improve your results:
\n\n``Positive Prompt Node (Detailer Control-Group)`` — Use optional body-part positive prompts in the \"Detailer prompts\"-Group. \n Use **body-part specific LoRA’s** for best results.\n\n``guide_size`` — Target short-side pixels for each crop before inpaint. Higher = more detail, more VRAM.\n\n``max_size`` — Cap on the crop’s long side after resizing. Prevents huge crops; set ≥ largest expected crop to avoid downscaling.\n\n``feather`` — Blur on the blend mask edges. Higher = smoother seams, less edge noise (but slightly softer detail).\n\n``bbox_threshold`` — Detector confidence cutoff. Higher = fewer, surer detections; lower = more/looser boxes.\n\n``bbox_dilation`` — Extra pixels added around each bbox (padding). More context → more natural blends.\n\n``bbox_crop_factor`` — Multiplies bbox size before cropping (e.g., 1.2 = +20%). Similar to dilation but proportional.\n\n``sam_dilation`` — Dilate/erode SAM mask by pixels. Positive = expand mask, negative = tighten.\n\n``sam_threshold`` — Confidence cutoff for SAM mask. Lower = larger masks; higher = tighter masks.\n\n``sam_bbox_expansion`` — Scale factor applied to bbox before running SAM (e.g., 1.2 = +20%).\n\n``sam_mask_hint_threshold`` — Threshold for using hint logits with SAM; higher trusts hints less.\n\n``drop_size`` — Minimum mask/crop size (px). Filters tiny false positives.\n\n``noise_mask_feather`` — Feather for the noise application inside the mask. Higher = smoother noise transition, fewer gritty rims.\n\n``cycle`` — How many times to detail the detected region(s). >1 can refine tough areas at extra cost.\n\n---\n\n### Rule of thumb(for 2x upscaled):\n>Start with ``guide_size`` 896–1024 (eyes 896–1024; face 1024–1536+ if the face is large).\n\n>Set ``max_size`` near your image long side (or 1536–2048 if VRAM is tight).\n\n>Use ``feather`` 24–48 (smaller areas ≈20–28; larger areas ≈32–48).\n\n>Keep ``noise_mask_feather`` ≈ 24–36 (small vs. large areas)."
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+ "#### 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."
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+ "### ↓ 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."
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+ "## ← 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."
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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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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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+ "## First Row\n\n#### Input Image\nHere you select your input image for the IMG2IMG process that you want to use throughout the complete process. Thanks to the custom node you can select multiple images at once and they'll be processed one after another.\n\n---\n\n\n#### Sampler Settings\nThese settings will be used during all steps of the process. The Sampler, Scheduler, Steps, CFG/Guidance and CLIP Skip settings will be used in the image generation(IMG2IMG Transfer) as well as the detailer. The Denoise and Seed settings are only used during IMG2IMG Transfer.\n\n---\n\n#### General Function Control\nIn the \"General Function Control\"-Group you can select if you want to upscale your output image, as well as the factor by which you want to upscale and if you want to use a prepended quality prompt for the detailers that are being used.
\nYou can also enable HiRes-Fix, which resamples the upscaled image with a low denoise value to repaint it for higher resolution and quality.
\nThe Hi-Res Fix Denoise value is only applied when Hi-Res Fix is enabled and determines how much of the original image is overwritten. A value between 0.25 and 0.35 is recommended.
It’s recommended to use \"Color Fix\" alongside it to preserve the original colors, as resampling can sometimes wash out contrast.\n\n---\n\n#### General Prompt Control\nHere you can set the Start quality prompt that you'll be able to use throughout the detailers as well as the negative prompt that will be used across every process of this workflow.\n\n---\n\n\n#### LoRA's\nIn this group you can add as many LoRA's to the general process as you want. These LoRA's will be applied to the whole process including detailing, hires fix, detailers etc. to keep consistent styles/characters across your generation. Simply click the \"+ Add Lora\"-Button in the Node and select your LoRA. You can toggle single ones or all of them by the switch button in front of the names/at the top respectively. To remove LoRA's simply rightclick on their name and click \"Remove\".\n\n---\n\n#### Detailer Control\nIn the \"Detailer Control\"-Group you can select which Detailers to run, what manual body part prompts to activate as well as one \"Denoise\"-Slider and one prompt field for each body part that has a detailer.
The prompt field is there to let you define what should be inpainted into the detail area while the denoise slider controls how much of the original shape, form, and color will be replaced.
A high value will completely overwrite the area while a lower value will preserve the original form (and color depending on how low) and just enhance it at a higher resolution.
If the anatomy already looks good and you only want to improve quality, a denoise value of 0.25 to 0.35 is recommended. If the anatomy is off - like extra fingers - you can increase it to 0.5 or higher and see if the results improve.
The higher your denoise value - the higher impact your prompt has. You can also leave the prompt deactivated (At the top) and only use a low denoise value to simply detail the area in a higher resolution without changing too much of what's being shown.
As a general rule for the denoise setting you can remember that the higher the denoise value, the more the detailer will ignore what's already in that area. \n\n---\n\n#### IPAdapter\nIPAdapter let's you copy the style of an image simply by providing an IPAdapter Model & a Clip Model.
\nIt basically works as a 1-Image-LoRA that injects itself into the Model and applies the style of the image like a LoRA.
\n
\nIf you use the \"Low VRAM\"-Option, ALONGSIDE the IPAdapter, your input image will be scaled down to a resolution where your smallest side of the image has 512px to decrease the VRAM usage that IPAdapter needs to analyze the image.
\nBe aware that you still have to prompt correctly with IPAdapter.\n\n---\n\n#### IMG2IMG Transfer\nThis section lets you use any image as a base to create a new one with the same composition and elements, while still giving you creative control over what’s shown. In short, it allows you to recreate or \"copy\" an image with your own characters, styling, or prompts.
\nThe positive prompt also supports dynamic prompts including files and wildcards. To see the full documentation on what you can do with that check the node-documentation [here](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/ImpactWildcard.md). If you want to use dynamic prompts with files they'll have to be in the respective folder BEFORE you start comfyui to be recognized, refreshing alone will not load them.
\nTo use this effectively please check the guide [here](https://civitai.com/articles/15480) under \"IMG2IMG Transfer\" for a full explanation.\nUse the \"Low VRAM\"-Option ALONGSIDE the IMG2IMG Transfer to reduce required/used VRAM during the Pre-Processing and appliance of the ControlNet to the image. This also impacts results so only use it if you have 12GB VRAM or less or if you want faster generation and don't mind a decrease in quality.\n\n---\n\n#### Before & After\nSimply gives you a preview of your image as it processes. The left node shows your image after upscaling/hires fix (if either or both are activated) while the right shows you your image after detailing. To see a preview after upscaling but before the hires fix check the \"Pre-HiRes Fix\"-Node in the Debug-Group below this node.\n\n---\n\n## Second Row\n\n#### Model Backend\nIn the **Model Backend** group, choose your Checkpoint, VAE and Upscale Model.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".
\nIf you have a checkpoint that uses a baked in VAE you can disable the \"Seperate VAE\"-Switch to use the in-built VAE of the checkpoint.\n\nOnly use \"Patch Sage Attention\" if you know what you do. You need to install triton on your PC which can be a lengthy and troublesome undertaking while only giving you a miniscule speed boost of maybe 2-3 seconds per image. You can find a guide for it [here](https://www.reddit.com/r/comfyui/comments/1hn32jc/step_by_step_video_tutorial_on_installing/).\n\n---\n\n#### Refiner Backend\nHere you can select if you want to use the normal Sampler or the Refiner Sampler - followed by options to add a refiner checkpoint, a slider for the steps that should be spent on the base checkpoint and LoRA's that'll be exclusively used during the 2nd sampling phase done with the refiner. If you don't know what a refiner is, check the \"Refiner\"-Note to the bottom right of the Refiner Backend.\n\n---\n\n#### Detection Models\nHere you select your ultralytics detection models that are trained specifically to find certain body parts and mask them so the detailer can inpaint these areas. You can find some recommendations for these in the \"Recommended Ultralytics Models\"-Node to the right or on civitai [here](https://civitai.com/search/models?modelType=Detection&sortBy=models_v9). Ultralytics are not model specific, so even if it's listed as SD1 you can use them for every other checkpoint.\n\n---\n\n#### Detailer LoRA's\nSimilar to the LoRA selection in the first Row you can select as man LoRAs as you want here. Each one of them is only injected into the corresponding detailer. Therefore you can use LoRAs that are specifically made for certain body parts. Some recommendations are in the \"Recommended Detailer LoRA's\"-Note to the right directly under the \"Detailer LoRA's\"-Group.\n\n---\n\n#### Detailer\nThis is where the magic happens - here the ultralytics models are being used to find your areas, mask them and then inpaint them using your set values. To find out more and some recommendations read the note to the left of it and underneath it.\n\n---\n\n#### Debug\nHere you will find some helpers throughout the workflow that give you some background information and might help you find problems during your generation if you're running into issues. More information on what everything there does is inside the note in the group or in the \"Debug\"-Section of [this](https://civitai.com/articles/15480) guide."
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\nThank you for using my Workflow!\n
\n### [Guide](https://civitai.com/articles/15480)"
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\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)
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+ "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"
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+ "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"
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+ "### You are free to remove the connections for pre-filled values like steps, cfg, sampler name & scheduler. (Don't disconnect denoise, you can set it conveniently in the \"Detailer Control-Group\") \n### Usually you will receive better results by tweaking these settings but it requires some fiddling, so here are some general tips:\n\n``sampler_name``: DPM++ 2M(dpmpp_2m) or UniPC for clean, stable detail. Less drastic changes to the input image.\n\n``scheduler``: karras (keeps more steps in the low-noise region, better for inpainting).\n\n``steps``: 20–24 for most (faces/lips); 18–22 for eyes; 24–28 for hands/genitals when fixes are hard.\n\n``cfg``: 5.0–6.0 (lower avoids crunchy noise; raise sparingly).\n\n---\n\nBy default, **negative prompts** are shared with the main image generation. \nTo use a custom one, connect a new **\"CLIP Text Encode (Prompt)\"** to the \"negative\" connection in the Detailer inside the `\"Detailer\"` group.\n"
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+ "#### ← To the left you can find the LoRA selectors for each specific body-part.
\n#### To the bottom left of this note, right below the \"Detailer LoRA's\"-Node, you can find my recommendations to improve the quality for body-specific parts even further.\n\n---\n\n#### → To the right are the Detailers, open the nodes, after activating them above, by clicking the rectangle to the left of their name and then adapt the settings to your needs to improve your results even further. These are the most important parameters to improve your results:
\n\n``Positive Prompt Node (Detailer Control-Group)`` — Use optional body-part positive prompts in the \"Detailer prompts\"-Group. \n Use **body-part specific LoRA’s** for best results.\n\n``guide_size`` — Target short-side pixels for each crop before inpaint. Higher = more detail, more VRAM.\n\n``max_size`` — Cap on the crop’s long side after resizing. Prevents huge crops; set ≥ largest expected crop to avoid downscaling.\n\n``feather`` — Blur on the blend mask edges. Higher = smoother seams, less edge noise (but slightly softer detail).\n\n``bbox_threshold`` — Detector confidence cutoff. Higher = fewer, surer detections; lower = more/looser boxes.\n\n``bbox_dilation`` — Extra pixels added around each bbox (padding). More context → more natural blends.\n\n``bbox_crop_factor`` — Multiplies bbox size before cropping (e.g., 1.2 = +20%). Similar to dilation but proportional.\n\n``sam_dilation`` — Dilate/erode SAM mask by pixels. Positive = expand mask, negative = tighten.\n\n``sam_threshold`` — Confidence cutoff for SAM mask. Lower = larger masks; higher = tighter masks.\n\n``sam_bbox_expansion`` — Scale factor applied to bbox before running SAM (e.g., 1.2 = +20%).\n\n``sam_mask_hint_threshold`` — Threshold for using hint logits with SAM; higher trusts hints less.\n\n``drop_size`` — Minimum mask/crop size (px). Filters tiny false positives.\n\n``noise_mask_feather`` — Feather for the noise application inside the mask. Higher = smoother noise transition, fewer gritty rims.\n\n``cycle`` — How many times to detail the detected region(s). >1 can refine tough areas at extra cost.\n\n---\n\n### Rule of thumb(for 2x upscaled):\n>Start with ``guide_size`` 896–1024 (eyes 896–1024; face 1024–1536+ if the face is large).\n\n>Set ``max_size`` near your image long side (or 1536–2048 if VRAM is tight).\n\n>Use ``feather`` 24–48 (smaller areas ≈20–28; larger areas ≈32–48).\n\n>Keep ``noise_mask_feather`` ≈ 24–36 (small vs. large areas)."
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+ "#### 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."
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+ "### ↓ 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."
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+ "## ← 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."
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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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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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\nBlue = Load model/checkpoint/lora/image
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+ "## 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."
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+ "## 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. "
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+ "## 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"
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+ "### 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 select the image for an external pose to be used or pre-processed as mentioned in the functions above."
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\nThank you for using my Workflow!\n
\n### [Guide](https://civitai.com/articles/15480)"
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\nSo you don't need to use a NoobAI model if you prefer using Illustrious Checkpoints.
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\nThe OpenPose model [here](https://huggingface.co/Laxhar/noob_openpose/tree/main).
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\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"
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+ "### You are free to remove the connections for pre-filled values like steps, cfg, sampler name & scheduler. (Don't disconnect denoise, you can set it conveniently in the \"Detailer Control-Group\") \n### Usually you will receive better results by tweaking these settings but it requires some fiddling, so here are some general tips:\n\n``sampler_name``: DPM++ 2M(dpmpp_2m) or UniPC for clean, stable detail. Less drastic changes to the input image.\n\n``scheduler``: karras (keeps more steps in the low-noise region, better for inpainting).\n\n``steps``: 20–24 for most (faces/lips); 18–22 for eyes; 24–28 for hands/genitals when fixes are hard.\n\n``cfg``: 5.0–6.0 (lower avoids crunchy noise; raise sparingly).\n\n---\n\nBy default, **negative prompts** are shared with the main image generation. \nTo use a custom one, connect a new **\"CLIP Text Encode (Prompt)\"** to the \"negative\" connection in the Detailer inside the `\"Detailer\"` group.\n"
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+ "#### ← To the left you can find the LoRA selectors for each specific body-part.
\n#### To the bottom left of this note, right below the \"Detailer LoRA's\"-Node, you can find my recommendations to improve the quality for body-specific parts even further.\n\n---\n\n#### → To the right are the Detailers, open the nodes, after activating them above, by clicking the rectangle to the left of their name and then adapt the settings to your needs to improve your results even further. These are the most important parameters to improve your results:
\n\n``Positive Prompt Node (Detailer Control-Group)`` — Use optional body-part positive prompts in the \"Detailer prompts\"-Group. \n Use **body-part specific LoRA’s** for best results.\n\n``guide_size`` — Target short-side pixels for each crop before inpaint. Higher = more detail, more VRAM.\n\n``max_size`` — Cap on the crop’s long side after resizing. Prevents huge crops; set ≥ largest expected crop to avoid downscaling.\n\n``feather`` — Blur on the blend mask edges. Higher = smoother seams, less edge noise (but slightly softer detail).\n\n``bbox_threshold`` — Detector confidence cutoff. Higher = fewer, surer detections; lower = more/looser boxes.\n\n``bbox_dilation`` — Extra pixels added around each bbox (padding). More context → more natural blends.\n\n``bbox_crop_factor`` — Multiplies bbox size before cropping (e.g., 1.2 = +20%). Similar to dilation but proportional.\n\n``sam_dilation`` — Dilate/erode SAM mask by pixels. Positive = expand mask, negative = tighten.\n\n``sam_threshold`` — Confidence cutoff for SAM mask. Lower = larger masks; higher = tighter masks.\n\n``sam_bbox_expansion`` — Scale factor applied to bbox before running SAM (e.g., 1.2 = +20%).\n\n``sam_mask_hint_threshold`` — Threshold for using hint logits with SAM; higher trusts hints less.\n\n``drop_size`` — Minimum mask/crop size (px). Filters tiny false positives.\n\n``noise_mask_feather`` — Feather for the noise application inside the mask. Higher = smoother noise transition, fewer gritty rims.\n\n``cycle`` — How many times to detail the detected region(s). >1 can refine tough areas at extra cost.\n\n---\n\n### Rule of thumb(for 2x upscaled):\n>Start with ``guide_size`` 896–1024 (eyes 896–1024; face 1024–1536+ if the face is large).\n\n>Set ``max_size`` near your image long side (or 1536–2048 if VRAM is tight).\n\n>Use ``feather`` 24–48 (smaller areas ≈20–28; larger areas ≈32–48).\n\n>Keep ``noise_mask_feather`` ≈ 24–36 (small vs. large areas)."
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+ "#### 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."
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+ "### ↓ 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."
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+ "## ← 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."
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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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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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+ "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"
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+ "### 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)"
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+ "type": "MASK",
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+ "## 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. "
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+ "## 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"
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+ "### 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 select the image for an external pose to be used or pre-processed as mentioned in the functions above."
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+ "name": "",
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+ {
+ "dir": 4,
+ "label": " ",
+ "name": "OPT_CONNECTION",
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+ "links": null
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+ "title": "Detail Prompt Control",
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+ "title": "Face prompt",
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+ "cnr_id": "comfy-core",
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+ "brown eyes, "
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+ "## 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."
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+ "title": "Patch Sage Attention",
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+ "### 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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+ "name": "clip_6",
+ "type": "CLIP",
+ "link": 106950
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+ "name": "text2_5",
+ "type": "STRING",
+ "link": 107158
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+ "label": "Nose CLIP",
+ "name": "clip_7",
+ "type": "CLIP",
+ "link": 106954
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+ "label": "Nose prompt",
+ "name": "text2_6",
+ "type": "STRING",
+ "link": 107159
+ },
+ {
+ "label": "Hands prompt",
+ "name": "text2_7",
+ "type": "STRING",
+ "link": 107161
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+ "outputs": [
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+ "label": "Lips CLIP",
+ "name": "CONDITIONING",
+ "type": "CONDITIONING",
+ "links": [
+ 84534
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+ {
+ "label": "Nipples CLIP",
+ "name": "CONDITIONING_1",
+ "type": "CONDITIONING",
+ "links": [
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+ "label": "Vagina CLIP",
+ "name": "CONDITIONING_2",
+ "type": "CONDITIONING",
+ "links": [
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+ "label": "Penis CLIP",
+ "name": "CONDITIONING_3",
+ "type": "CONDITIONING",
+ "links": [
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+ {
+ "label": "Hands CLIP",
+ "name": "CONDITIONING_4",
+ "type": "CONDITIONING",
+ "links": [
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+ {
+ "label": "Eyes CLIP",
+ "name": "CONDITIONING_5",
+ "type": "CONDITIONING",
+ "links": [
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+ {
+ "label": "Face CLIP",
+ "name": "CONDITIONING_6",
+ "type": "CONDITIONING",
+ "links": [
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+ {
+ "label": "Eyes example prompt",
+ "name": "STRING",
+ "type": "*",
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+ {
+ "label": "Nose CLIP",
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+ "type": "CONDITIONING",
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diff --git a/workflows/IMG2IMG/v5.1/changelod.md b/workflows/IMG2IMG/v5.1/changelod.md
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+- Added new multiline prompt node for positive and negative prompt with option to add wildcards directly through a dropdown browser
+- fixed a bug where the image saved didn't have the processed negative prompts if wildcards were used in the negative prompts
+- removed wlsh custom_node dependency and replaces upscaling with my own upscaling that works the same but uses less vram
+- Switched out some boolean switches for lazy switches for better performance
+- Removal of Crystools nodes as they are mostly obsolete and can be replaced by core/kj nodes
+- now saves positive & negative prompt of inpainting when in use, including lora's used
+- removed old historical link and node data from json that is no longer in use (no functionality or bugs fixed, simply changes for the workflow validator from comfy and rgthree)
+
+TODO:
+- open MR in rgthree Fast Bypasser to maybe also output the booleans from each connected bypasser, if that is not possible or not accepted build own node to connect and read these bool statements or remove rgthree bypasser for my own true/false bypasser on all detailers & prompts to bypass all previews of unused detailers to use less computing power, less disk space and speed up process while keeping assets gallery clean
+- check for bug when only upscaling an image, had an error there previously because of some prompts from the inpainting section
\ No newline at end of file
diff --git a/workflows/TXT2IMG/v1.0/changelog.md b/workflows/TXT2IMG/v1.0/changelog.md
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+- initial release
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diff --git a/workflows/TXT2IMG/v1.0/vslinx-FaceDetailer.json b/workflows/TXT2IMG/v1.0/vslinx-FaceDetailer.json
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pause",1,"",""]},{"id":79,"type":"Note","pos":[-1160,930],"size":[380,980],"flags":{},"order":24,"mode":0,"inputs":[],"outputs":[],"title":"How to improve further","properties":{},"widgets_values":["You can add more detailers if you'd like for other body parts by just copying one of the groups and except the image all necessary nodes for image generation will automatically be selected.\n\nBy default every node will use the positive and negative prompts you have selected for the image. The detector itself will only find the area while the detailer node will generate what it see's fit for this Area. So the best way to really improve what's being \"detailed\" is to create a new prompt node and connecting it to the \"positive\" connector of the node. You can also add loras in between. There are some good loras on civitai which focus on specific body parts specifically for this case.\nWith this you can control precisely what is being inpainted at the location the detailer detector has found!\n\nBelow the detailer itself, inside the detailer group, you can always see a preview of the replaced part. So if there's something that has been falsely selected or not selected you can either disable the group or tweak with the settings of the detailer itself.\n\nSince the detailer inpaints the area there are a few things to consider:\n*The bbox_crop_factor is how far out of the image the inpainting zooms out for context. 1.0 being only the area detected while 3.0 being 3x that size. If the crop factor is too small the image area won't have much context of what it's inpainting and you might end up with something completely different replacing that area. Having the crop factor too high will lose you details because the area inpainted is not small enough anymore. You should never have to go beyond 3.0.\n*The denoise is what decides how much of the original is being changed, 0.5 being the middle whereas 1 would mean that it gets completely replaced without influence from the original. Keep it somewhere in the middle to have the original guide the inpainting on the position and form of the subject while upscaling and improving that specific part.\n*For the best results connect a new prompt node to the positive attribute of the Detailer node, this will let you control exactly what the new area should be replaced with. There are a lot of good lora's for specific bodyparts that you can use in that process too. I recommend rgthree's \"power prompt\" node which lets you add lora's directly.\n*It's best to have a selector that automatically selects multiple eyes, nipples etc. So that the replacement will match and not look like 2 completely different eyes.\n*If you want to keep the color or shape of the iris from changing without having to add more prompts you can simply dial down the CFG and/or lower the denoise to keep more of the original."],"color":"#432","bgcolor":"#653"},{"id":84,"type":"CLIPTextEncode","pos":[-80,270],"size":[420,210],"flags":{},"order":25,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":null,"localized_name":"clip"}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[191],"slot_index":0,"localized_name":"CONDITIONING"}],"title":"Positive Prompt","properties":{"cnr_id":"comfy-core","ver":"0.3.14","Node name for S&R":"CLIPTextEncode"},"widgets_values":["masterpiece,best quality,amazing quality,absurdres, BREAK \ninoue orihime, bleach \\(series\\), 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(https://github.com/pythongosssss/ComfyUI-Custom-Scripts)\ncg-use-everywhere\n(https://github.com/chrisgoringe/cg-use-everywhere)\ncg-image-picker\n(https://github.com/chrisgoringe/cg-image-picker)\nComfyUI Impact Subpack\n(https://github.com/ltdrdata/ComfyUI-Impact-Subpack)\n\nHow to use:\nSelect all necessary models, go down to the Detailer Groups and open the \"UltralyticsDetectorP\"-Node and select the corresponding Model for the Body-Part.\nGo to the \"Detailer Selector\" and choose your options.\nHappy generating!\n\nRecommended Models for the Detailers, in no specific 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+v2 has better overall usability!
+It's recommended to hide link visibility for better clarity. (eye icon in bottom right corner of comfyui)
+- Easier overview and accessibility of sampler settings
+- Better control over Processes and optional parameters
+- Added optional detailer prompts
+- Added optional detailer LoRA's (recommendations inside note in workflow)
+- Added Clip Skip slider to switch between 1 or 2 (Some models use Clip Skip 1)
+- Swapped cg-image-picker with cg-image-filter since the picker is now deprecated
+
+The Workflow now has color coded node-groups. These let you know which group is responsible for which task. The colors mean the following:
+- Blue/Purple: Preperation, here you have to prepare the workflow. Select your Models, LoRA's and enter your optional detailer prompts.
+- Green: Image Control, here you change the sampler Settings, select which tasks to run and enter your image prompts.
+- Orange: Image Generation, here you see previews of your images and your image is being saved. There is an additional Group for debugging to check how and what has been upgraded by the Detailer. This helps to find the cause of issues if your upgrade doesn't end up the way you want it to.
+- Black: Backend/Technical, here you have all the nodes that do the magic in the background. In an ideal world you'll never have to bother with these unless you know what you're doing and want to tweak the ranges at which the detection and detailers work.
\ No newline at end of file
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left)"],"color":"#222","bgcolor":"#000","shape":1},{"id":214,"type":"Fast Bypasser (rgthree)","pos":[330,280],"size":[270,430],"flags":{},"order":54,"mode":0,"inputs":[{"name":"Face prompt","type":"*","link":374},{"name":"Eyes prompt","type":"*","link":375},{"name":"Nose prompt","type":"*","link":376},{"name":"Lips prompt","type":"*","link":377},{"name":"Hands prompt","type":"*","link":378},{"name":"Nipples prompt","type":"*","link":379},{"name":"Vagina prompt","type":"*","link":380},{"name":"Penis prompt","type":"*","link":381},{"name":"","type":"*","link":null}],"outputs":[{"name":"OPT_CONNECTION","type":"*","links":null}],"title":"Detail Prompt Control","properties":{"toggleRestriction":"default"},"color":"#432","bgcolor":"#653","shape":1},{"id":74,"type":"Note","pos":[-770,40],"size":[490,150],"flags":{},"order":35,"mode":0,"inputs":[],"outputs":[],"title":"Information","properties":{},"widgets_values":["Workflow was created by vslinx on civitai (https://civitai.com/user/vslinx)\nIf you have any suggestions or feedback be sure to drop it on the Workflow posted there :)\n(https://civitai.com/models/1297813/comfyui-detaileradetailer-all-in-one-illustrious-pony-sdxl)\n\nYou will find all the Information for required costum nodes, recommended models (incl. links to them) and how to improve the output & details of your images in the notes to the left of the \"Models & Setup\" section as well as the Detailer section respectively."],"color":"#222","bgcolor":"#000","shape":1},{"id":218,"type":"Note","pos":[-1160,40],"size":[380,300],"flags":{},"order":36,"mode":0,"inputs":[],"outputs":[],"title":"How to use","properties":{},"widgets_values":["How to use:\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\".\n\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\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.\n\nLastly in 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. Just enter your positive and negative prompts afterwards and happy generating!\n\nBelow are my recommended detection models as well as Detailer LoRA's for some of them that i use regularly."],"color":"#222","bgcolor":"#000","shape":1},{"id":80,"type":"Note","pos":[-1160,380],"size":[380,480],"flags":{},"order":44,"mode":0,"inputs":[],"outputs":[],"title":"Recommended Ultralytics Models","properties":{},"widgets_values":["FACE\nhttps://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose\nhttps://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation\n\nEYES\nhttps://civitai.com/models/150925/eyes-detection-adetailer\nhttps://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui\n\nLIPS / Mouth\nhttps://civitai.com/models/142240/adetailer-after-detailer-lips-model\nhttps://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation\n\nNOSE\nhttps://civitai.com/models/1232431/adetailer-nose\n(https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) - taken offline by owner, works best with anthro noses\n\nHANDS\nhttps://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt\n\nNIPPLES\nhttps://civitai.com/models/1132590/nipple-adetailer-for-anime-girls\nhttps://civitai.com/models/490259/adetailer-nipples-model\n\nVAGINA\nhttps://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one\nhttps://civitai.com/models/150234/pussy-adetailer\n\nPENIS\nhttps://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer\n"],"color":"#222","bgcolor":"#000","shape":1},{"id":216,"type":"Note","pos":[-1160,900],"size":[380,210],"flags":{},"order":45,"mode":0,"inputs":[],"outputs":[],"title":"Recommended Detailer LoRA's","properties":{},"widgets_values":["General Detailer (Can be used for everything)\nhttps://civitai.com/models/987736?modelVersionId=1147221\n\nGeneral Detailer for V-Pred Models\nhttps://civitai.com/models/987736?modelVersionId=1209350\n\nEyes\nhttps://civitai.com/models/1300857\n\nHands\nhttps://civitai.com/models/200255\n\nNipples\nhttps://civitai.com/models/502107\nhttps://civitai.com/models/493096\nhttps://civitai.com/models/827482"],"color":"#222","bgcolor":"#000","shape":1},{"id":79,"type":"Note","pos":[-1160,1150],"size":[380,780],"flags":{},"order":46,"mode":0,"inputs":[],"outputs":[],"title":"How to improve further","properties":{},"widgets_values":["If body-part specific prompts are disabled the detailer will use the standard positive and negative prompts for generation. The detector and checkpoints usually do a good job understanding what the detected area is and what to generate by itself by denoising the input.\nThat being said, writing good body-part specific prompts into the designated area generates way more accurate and generally better results. To elevate this to a new level you can use a detailer LoRA in the \"Detailer LoRA\"-Group. I have left some recommendations above this note.\nIf there is no body-part specific detailer lora you can easily use the General Detailer for the EPS or V-Pred Model and just prompt what exactly should be shown.\nBy default the negative prompts are shared with prompts used to generate the image, if you want to have a specific negative prompt you may connect a new text prompt-node to the chosen detailer in the \"Backend - Detailer preperation\"-Group.\n\nIn the debug area underneath the generated image preview you can see one node per body part. Opening these by clicking the rectangle next to it's name shows you the improved body-part as a mask.\nIf the preview contains the full image that means the detailer was deactivated and no changes have been made, if the preview on the other hand shows a black rectangle that means that the detection model has not had a match with what it was trained to find. In that case you can either change the detection model or play around with the parameters of the specific Detailer itself, found in the \"Backend - Detailer preperation\"-Group. Below are some pointers on what you can do with the parameters of the detailer.\n\nSince the detailer inpaints the area there are a few things to consider:\n*The bbox_crop_factor is how far out of the image the inpainting zooms out for context. 1.0 being only the area detected while 3.0 being 3x that size. If the crop factor is too small the image area won't have much context of what it's inpainting and you might end up with something completely different replacing that area. Having the crop factor too high will lose you details because the area inpainted is not small enough anymore. You should never have to go beyond 3.0.\n*The denoise is what decides how much of the original is being changed, 0.5 being the middle whereas 1 would mean that it gets completely replaced without influence from the original. Keep it somewhere in the middle to have the original guide the inpainting on the position and form of the subject while upscaling and improving that specific part.\n*For the best results connect a new prompt node to the positive attribute of the Detailer node, this will let you control exactly what the new area should be replaced with. There are a lot of good lora's for specific bodyparts that you can use in that process too. I recommend rgthree's \"power prompt\" node which lets you add lora's directly.\n*It's best to have a selector that automatically selects multiple eyes, nipples etc. So that the replacement will match and not look like 2 completely different eyes.\n*If you want to keep the color or shape of the iris from changing without having to add more prompts you can simply dial down the CFG and/or lower the denoise to keep more of the original.\n\n"],"color":"#222","bgcolor":"#000","shape":1},{"id":217,"type":"Note","pos":[-270,40],"size":[520,150],"flags":{},"order":47,"mode":0,"inputs":[],"outputs":[],"title":"Required Nodes","properties":{},"widgets_values":["ComfyUI Impact Pack (https://github.com/ltdrdata/ComfyUI-Impact-Pack)\nComfyUI Impact Subpack (https://github.com/ltdrdata/ComfyUI-Impact-Subpack)\nComfyUI-mxToolkit (https://github.com/Smirnov75/ComfyUI-mxToolkit)\nComfyUI-Easy-Use (https://github.com/yolain/ComfyUI-Easy-Use)\nComfyUI-Custom-Scripts 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+- cg-image-filter (https://github.com/chrisgoringe/cg-image-filter)
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The detector and checkpoints usually do a good job understanding what the detected area is and what to generate by itself by denoising the input.\nThat being said, writing good body-part specific prompts into the designated area generates way more accurate and generally better results. To elevate this to a new level you can use a detailer LoRA in the \"Detailer LoRA\"-Group. I have left some recommendations above this note.\nIf there is no body-part specific detailer lora you can easily use the General Detailer for the EPS or V-Pred Model and just prompt what exactly should be shown.\nBy default the negative prompts are shared with prompts used to generate the image, if you want to have a specific negative prompt you may connect a new text prompt-node to the chosen detailer in the \"Backend - Detailer preperation\"-Group.\n\nIn the debug area underneath the generated image preview you can see one node per body part. Opening these by clicking the rectangle next to it's name shows you the improved body-part as a mask.\nIf the preview contains the full image that means the detailer was deactivated and no changes have been made, if the preview on the other hand shows a black rectangle that means that the detection model has not had a match with what it was trained to find. In that case you can either change the detection model or play around with the parameters of the specific Detailer itself, found in the \"Backend - Detailer preperation\"-Group. Below are some pointers on what you can do with the parameters of the detailer.\n\nSince the detailer inpaints the area there are a few things to consider:\n*The bbox_crop_factor is how far out of the image the inpainting zooms out for context. 1.0 being only the area detected while 3.0 being 3x that size. If the crop factor is too small the image area won't have much context of what it's inpainting and you might end up with something completely different replacing that area. Having the crop factor too high will lose you details because the area inpainted is not small enough anymore. You should never have to go beyond 3.0.\n*The denoise is what decides how much of the original is being changed, 0.5 being the middle whereas 1 would mean that it gets completely replaced without influence from the original. Keep it somewhere in the middle to have the original guide the inpainting on the position and form of the subject while upscaling and improving that specific part.\n*For the best results connect a new prompt node to the positive attribute of the Detailer node, this will let you control exactly what the new area should be replaced with. There are a lot of good lora's for specific bodyparts that you can use in that process too. I recommend rgthree's \"power prompt\" node which lets you add lora's directly.\n*It's best to have a selector that automatically selects multiple eyes, nipples etc. So that the replacement will match and not look like 2 completely different eyes.\n*If you want to keep the color or shape of the iris from changing without having to add more prompts you can simply dial down the CFG and/or lower the denoise to keep more of the original.\n\n"],"color":"#222","bgcolor":"#000","shape":1},{"id":85,"type":"CLIPTextEncode","pos":[870,520],"size":[420,200],"flags":{},"order":31,"mode":0,"inputs":[{"localized_name":"clip","name":"clip","type":"CLIP","link":null}],"outputs":[{"localized_name":"CONDITIONING","name":"CONDITIONING","type":"CONDITIONING","slot_index":0,"links":[190]}],"title":"Negative","properties":{"cnr_id":"comfy-core","ver":"0.3.14","Node name for S&R":"CLIPTextEncode"},"widgets_values":["bad quality, worst quality, worst detail, sketch, censored, watermark, signature, artist 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Detailer","properties":{"cnr_id":"comfyui-impact-pack","ver":"c6056b132d7e155c3ece42b77e08ea45bde1bfef","Node name for S&R":"FaceDetailer"},"widgets_values":[512,true,1024,726283645137926,"randomize",30,5,"euler","normal",0.5,5,true,true,0.5,10,3,"center-1",0,0.93,0,0.7,"False",10,"",1,false,20,false,false],"color":"#233","bgcolor":"#355","shape":1},{"id":196,"type":"CLIPTextEncode","pos":[370,1260],"size":[240,90],"flags":{},"order":33,"mode":0,"inputs":[{"localized_name":"clip","name":"clip","type":"CLIP","link":null}],"outputs":[{"localized_name":"CONDITIONING","name":"CONDITIONING","type":"CONDITIONING","links":[380,388]}],"title":"Vagina prompt","properties":{"cnr_id":"comfy-core","ver":"0.3.27","Node name for S&R":"CLIPTextEncode"},"widgets_values":["pussy, cameltoe, "],"color":"#232","bgcolor":"#353","shape":1},{"id":46,"type":"UltralyticsDetectorProvider","pos":[-100,1230],"size":[210,78],"flags":{"collapsed":false},"order":34,"mode":0,"inputs":[],"outputs":[{"localized_name":"BBOX_DETECTOR","name":"BBOX_DETECTOR","type":"BBOX_DETECTOR","slot_index":0,"links":[100]},{"localized_name":"SEGM_DETECTOR","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 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"],"color":"#232","bgcolor":"#353","shape":1},{"id":218,"type":"Note","pos":[-1160,30],"size":[380,310],"flags":{},"order":38,"mode":0,"inputs":[],"outputs":[],"title":"How to use","properties":{},"widgets_values":["How to use:\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\".\n\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\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.\n\nLastly in 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. Just enter your positive and negative prompts afterwards and happy generating!\n\nBelow are my recommended detection models as well as Detailer LoRA's for some of them that i use regularly."],"color":"#222","bgcolor":"#000","shape":1},{"id":74,"type":"Note","pos":[-770,30],"size":[490,160],"flags":{},"order":39,"mode":0,"inputs":[],"outputs":[],"title":"Information","properties":{},"widgets_values":["Workflow was created by vslinx on civitai (https://civitai.com/user/vslinx)\nIf you have any suggestions or feedback be sure to drop it on the Workflow posted there :)\n(https://civitai.com/models/1297813/comfyui-detaileradetailer-all-in-one-illustrious-pony-sdxl)\n\nYou will find all the Information for required costum nodes, recommended models (incl. links to them) and how to improve the output & details of your images in the notes to the left of the \"Models & Setup\" section as well as the Detailer section respectively."],"color":"#222","bgcolor":"#000","shape":1},{"id":217,"type":"Note","pos":[-270,30],"size":[520,160],"flags":{},"order":40,"mode":0,"inputs":[],"outputs":[],"title":"Required Nodes","properties":{},"widgets_values":["ComfyUI Impact Pack (https://github.com/ltdrdata/ComfyUI-Impact-Pack)\nComfyUI Impact Subpack (https://github.com/ltdrdata/ComfyUI-Impact-Subpack)\nComfyUI-mxToolkit (https://github.com/Smirnov75/ComfyUI-mxToolkit)\nComfyUI-Easy-Use (https://github.com/yolain/ComfyUI-Easy-Use)\nComfyUI-Custom-Scripts (https://github.com/pythongosssss/ComfyUI-Custom-Scripts)\nComfyUI-Crystools (https://github.com/crystian/ComfyUI-Crystools)\nComfyui-ergouzi-Nodes (https://github.com/11dogzi/Comfyui-ergouzi-Nodes)\nComfyUI-Image-Saver (https://github.com/alexopus/ComfyUI-Image-Saver)\ncg-use-everywhere (https://github.com/chrisgoringe/cg-use-everywhere)\ncg-image-filter (https://github.com/chrisgoringe/cg-image-filter)\nrgthree-comfy (https://github.com/rgthree/rgthree-comfy)"],"color":"#222","bgcolor":"#000","shape":1},{"id":158,"type":"Switch any [Crystools]","pos":[-440,1620],"size":[315,78],"flags":{"collapsed":true},"order":55,"mode":0,"inputs":[{"localized_name":"on_true","name":"on_true","type":"*","link":323},{"localized_name":"on_false","name":"on_false","type":"*","link":324},{"name":"boolean","type":"BOOLEAN","widget":{"name":"boolean"},"link":429}],"outputs":[{"localized_name":"*","name":"*","type":"*","links":[327]}],"title":"V-Pred Switch","properties":{"cnr_id":"comfyui-crystools","ver":"576b44b9b79e3bf4b5d50457a28924d89a42e7e1","Node name for S&R":"Switch any 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+- no longer requires ergouzi nodes, removed float sliders to the mxToolkit's ones for consistent look & feel
+- Now requires ComfyUI_Comfyroll_CustomNodes
+- Upon request brought back the LoRA Bypass control to enable/disable them inside of the function control
+- Introduced seperated prompts, now being able to use Pre- & After prompts for quality.
+- This is often used in noobAI checkpoints where you prepend and append quality tags.
+- These three prompts get combined without weight-shifting, so use them as recommended from your checkpoint. Prompts will be automatically seperated by a comma, so just use as in example.
+- Added control to make start & end quality prompts optional
+- removed unnecessary preview of image being saved
+- Added image-saver into backend to save images with full prompts, model information, sampler information and used loras/embeddings. Helps with automatic resource tagging when uploading to civitai
+- Added prompt preview in Debug section so you can see how your prompt is being combined with pre & after quality prompts
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Just enter your positive and negative prompts afterwards and happy generating!\n\nBelow are my recommended detection models as well as Detailer LoRA's for some of them that i use regularly."],"color":"#222","bgcolor":"#000","shape":1},{"id":214,"type":"Fast Bypasser (rgthree)","pos":[330,70],"size":[270,430],"flags":{},"order":50,"mode":0,"inputs":[{"dir":3,"name":"Face prompt","type":"*","link":374},{"dir":3,"name":"Eyes prompt","type":"*","link":375},{"dir":3,"name":"Nose prompt","type":"*","link":376},{"dir":3,"name":"Lips prompt","type":"*","link":377},{"dir":3,"name":"Hands prompt","type":"*","link":378},{"dir":3,"name":"Nipples prompt","type":"*","link":379},{"dir":3,"name":"Vagina prompt","type":"*","link":380},{"dir":3,"name":"Penis prompt","type":"*","link":381},{"dir":3,"name":"","type":"*","link":null}],"outputs":[{"dir":4,"name":"OPT_CONNECTION","type":"*","links":null}],"title":"Detail Prompt Control","properties":{"toggleRestriction":"default"},"color":"#432","bgcolor":"#653","shape":1},{"id":80,"type":"Note","pos":[-1160,180],"size":[380,480],"flags":{},"order":24,"mode":0,"inputs":[],"outputs":[],"title":"Recommended Ultralytics Models","properties":{},"widgets_values":["FACE\nhttps://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose\nhttps://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation\n\nEYES\nhttps://civitai.com/models/150925/eyes-detection-adetailer\nhttps://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui\n\nLIPS / Mouth\nhttps://civitai.com/models/142240/adetailer-after-detailer-lips-model\nhttps://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation\n\nNOSE\nhttps://civitai.com/models/1232431/adetailer-nose\n(https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) - taken offline by owner, works best with anthro noses\n\nHANDS\nhttps://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt\n\nNIPPLES\nhttps://civitai.com/models/1132590/nipple-adetailer-for-anime-girls\nhttps://civitai.com/models/490259/adetailer-nipples-model\n\nVAGINA\nhttps://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one\nhttps://civitai.com/models/150234/pussy-adetailer\n\nPENIS\nhttps://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer\n"],"color":"#222","bgcolor":"#000","shape":1},{"id":74,"type":"Note","pos":[-770,-170],"size":[490,160],"flags":{},"order":25,"mode":0,"inputs":[],"outputs":[],"title":"Information","properties":{},"widgets_values":["Workflow was created by vslinx on civitai (https://civitai.com/user/vslinx)\nIf you have any suggestions or feedback be sure to drop it on the Workflow posted there :)\n(https://civitai.com/models/1297813/comfyui-detaileradetailer-all-in-one-illustrious-pony-sdxl)\n\nYou will find all the Information for required costum nodes, recommended models (incl. links to them) and how to improve the output & details of your images in the notes to the left of the \"Models & Setup\" section as well as the Detailer section respectively."],"color":"#222","bgcolor":"#000","shape":1},{"id":79,"type":"Note","pos":[-1160,950],"size":[380,790],"flags":{},"order":26,"mode":0,"inputs":[],"outputs":[],"title":"How to improve further","properties":{},"widgets_values":["If body-part specific prompts are disabled the detailer will use the standard positive and negative prompts for generation. The detector and checkpoints usually do a good job understanding what the detected area is and what to generate by itself by denoising the input.\nThat being said, writing good body-part specific prompts into the designated area generates way more accurate and generally better results. To elevate this to a new level you can use a detailer LoRA in the \"Detailer LoRA\"-Group. I have left some recommendations above this note.\nIf there is no body-part specific detailer lora you can easily use the General Detailer for the EPS or V-Pred Model and just prompt what exactly should be shown.\nBy default the negative prompts are shared with prompts used to generate the image, if you want to have a specific negative prompt you may connect a new text prompt-node to the chosen detailer in the \"Backend - Detailer preperation\"-Group.\n\nIn the debug area underneath the generated image preview you can see one node per body part. Opening these by clicking the rectangle next to it's name shows you the improved body-part as a mask.\nIf the preview contains the full image that means the detailer was deactivated and no changes have been made, if the preview on the other hand shows a black rectangle that means that the detection model has not had a match with what it was trained to find. In that case you can either change the detection model or play around with the parameters of the specific Detailer itself, found in the \"Backend - Detailer preperation\"-Group. Below are some pointers on what you can do with the parameters of the detailer.\n\nSince the detailer inpaints the area there are a few things to consider:\n*The bbox_crop_factor is how far out of the image the inpainting zooms out for context. 1.0 being only the area detected while 3.0 being 3x that size. If the crop factor is too small the image area won't have much context of what it's inpainting and you might end up with something completely different replacing that area. Having the crop factor too high will lose you details because the area inpainted is not small enough anymore. You should never have to go beyond 3.0.\n*The denoise is what decides how much of the original is being changed, 0.5 being the middle whereas 1 would mean that it gets completely replaced without influence from the original. Keep it somewhere in the middle to have the original guide the inpainting on the position and form of the subject while upscaling and improving that specific part.\n*For the best results connect a new prompt node to the positive attribute of the Detailer node, this will let you control exactly what the new area should be replaced with. There are a lot of good lora's for specific bodyparts that you can use in that process too. I recommend rgthree's \"power prompt\" node which lets you add lora's directly.\n*It's best to have a selector that automatically selects multiple eyes, nipples etc. So that the replacement will match and not look like 2 completely different eyes.\n*If you want to keep the color or shape of the iris from changing without having to add more prompts you can simply dial down the CFG and/or lower the denoise to keep more of the original.\n\n"],"color":"#222","bgcolor":"#000","shape":1},{"id":216,"type":"Note","pos":[-1160,700],"size":[380,210],"flags":{},"order":27,"mode":0,"inputs":[],"outputs":[],"title":"Recommended Detailer LoRA's","properties":{},"widgets_values":["General Detailer (Can be used for everything)\nhttps://civitai.com/models/987736?modelVersionId=1147221\n\nGeneral Detailer for V-Pred 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+ "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!"
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+ "[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_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
\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)"
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+ "properties": {},
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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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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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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 right).\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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+ "outputs": [],
+ "title": "Pose Collections",
+ "properties": {},
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+ "### 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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+ "title": "ControlNet Models",
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+ "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 models 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"
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+ "title": "Hands prompt",
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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.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".
\n*If you have no intention to use ControlNet at all and don't want to download the required ControlNet models you can rightclick the \"ControlNet Model\"-Node and click bypass.*\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.
\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.\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 \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.
\nThe ControlNet image has to match the ControlNet model in the node inside of the \"Model Backend\"-Group.
\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.
\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.\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#### 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\n`Below are my recommended detection models as well as Detailer LoRA's for some of them that i use regularly.`"
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\nThank you for using my Workflow!"
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+ "[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_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
\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)"
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+ "outputs": [],
+ "title": "Recommended Detailer LoRA's",
+ "properties": {},
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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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+ "title": "Recommended Ultralytics Models",
+ "properties": {},
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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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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 right).\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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+ "flags": {},
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+ "inputs": [],
+ "outputs": [],
+ "title": "Pose Collections",
+ "properties": {},
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+ "### 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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+ "flags": {
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+ "outputs": [],
+ "title": "ControlNet Models",
+ "properties": {},
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+ "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 models 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"
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+ "name": "CONDITIONING",
+ "type": "CONDITIONING",
+ "links": [
+ 386,
+ 616
+ ]
+ }
+ ],
+ "title": "Hands prompt",
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+ "cnr_id": "comfy-core",
+ "ver": "0.3.27",
+ "Node name for S&R": "CLIPTextEncode"
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+ "detailed hand"
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+ "name": "CONDITIONING",
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+ }
+ ],
+ "title": "Lips prompt",
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+ "cnr_id": "comfy-core",
+ "ver": "0.3.27",
+ "Node name for S&R": "CLIPTextEncode"
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+ "widgets_values": [
+ "lips, mouth"
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+ "name": "CONDITIONING",
+ "type": "CONDITIONING",
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+ "title": "Eyes prompt",
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+ "cnr_id": "comfy-core",
+ "ver": "0.3.27",
+ "Node name for S&R": "CLIPTextEncode"
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+ "widgets_values": [
+ "detailed eyes"
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+ "name": "Face Detailer",
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+ "name": "Vagina Detailer",
+ "type": "*",
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+ "dir": 3,
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+ "name": "Penis Detailer",
+ "type": "*",
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+ {
+ "dir": 3,
+ "label": " ",
+ "name": "",
+ "type": "*",
+ "link": null
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+ "outputs": [
+ {
+ "dir": 4,
+ "label": " ",
+ "name": "OPT_CONNECTION",
+ "type": "*",
+ "links": null
+ }
+ ],
+ "title": "Process Control",
+ "properties": {
+ "toggleRestriction": "default",
+ "collapse_connections": true
+ },
+ "color": "#432",
+ "bgcolor": "#653",
+ "shape": 1
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+ "name": "Nipples prompt",
+ "type": "*",
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+ "dir": 3,
+ "label": " ",
+ "name": "Vagina prompt",
+ "type": "*",
+ "link": 618
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+ {
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+ "label": " ",
+ "name": "Penis prompt",
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+ "dir": 3,
+ "label": " ",
+ "name": "",
+ "type": "*",
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+ "outputs": [
+ {
+ "dir": 4,
+ "label": " ",
+ "name": "OPT_CONNECTION",
+ "type": "*",
+ "links": null
+ }
+ ],
+ "title": "Detail Prompt Control",
+ "properties": {
+ "toggleRestriction": "default",
+ "collapse_connections": true
+ },
+ "color": "#432",
+ "bgcolor": "#653",
+ "shape": 1
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+ "flags": {},
+ "order": 72,
+ "mode": 0,
+ "inputs": [
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+ "dir": 3,
+ "label": " ",
+ "name": "Face LoRA",
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+ "link": 620
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+ {
+ "dir": 3,
+ "label": " ",
+ "name": "Eyes LoRA",
+ "type": "*",
+ "link": 621
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+ {
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+ "name": "Nose LoRA",
+ "type": "*",
+ "link": 622
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+ "name": "Lips LoRA",
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+ "name": "Hands LoRA",
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+ "name": "Vagina LoRA",
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+ "links": null
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+ "title": "Detail LoRA Control",
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+ "toggleRestriction": "default",
+ "collapse_connections": true
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+ "type": "*",
+ "link": 595
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+ {
+ "dir": 3,
+ "label": " ",
+ "name": "LoRA 2",
+ "type": "*",
+ "link": 596
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+ "label": " ",
+ "name": "LoRA 3",
+ "type": "*",
+ "link": 597
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+ "dir": 3,
+ "label": " ",
+ "name": "LoRA 4",
+ "type": "*",
+ "link": 598
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+ {
+ "dir": 3,
+ "label": " ",
+ "name": "LoRA 5",
+ "type": "*",
+ "link": 599
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+ {
+ "dir": 3,
+ "label": " ",
+ "name": "LoRA 6",
+ "type": "*",
+ "link": 600
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+ {
+ "dir": 3,
+ "label": " ",
+ "name": "",
+ "type": "*",
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+ {
+ "dir": 4,
+ "label": " ",
+ "name": "OPT_CONNECTION",
+ "type": "*",
+ "links": null
+ }
+ ],
+ "title": "General LoRA Control",
+ "properties": {
+ "toggleRestriction": "default",
+ "collapse_connections": true
+ },
+ "color": "#432",
+ "bgcolor": "#653",
+ "shape": 1
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+ "order": 89,
+ "mode": 0,
+ "inputs": [
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+ "type": "IMAGE",
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+ "outputs": [],
+ "title": "Pose Preview",
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.27",
+ "Node name for S&R": "PreviewImage"
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+ "color": "#233",
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+ ]
+ },
+ {
+ "name": "MASK",
+ "type": "MASK",
+ "links": null
+ }
+ ],
+ "title": "Load ControlNet Pose",
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.27",
+ "Node name for S&R": "LoadImage"
+ },
+ "widgets_values": [
+ "5.png",
+ "image",
+ ""
+ ],
+ "color": "#233",
+ "bgcolor": "#355",
+ "shape": 1
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+ {
+ "id": 323,
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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.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".
\n*If you have no intention to use ControlNet at all and don't want to download the required ControlNet models you can rightclick the \"ControlNet Model\"-Node and click bypass.*\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.
\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.\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 \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.
\nThe ControlNet image has to match the ControlNet model in the node inside of the \"Model Backend\"-Group.
\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.
\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.\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#### 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\n`Below are my recommended detection models as well as Detailer LoRA's for some of them that i use regularly.`"
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+ "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!"
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+ "[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_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
\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)"
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\nThese models work for Eps, VPred and even Illustrious models.
\nSo you don't need to use a NoobAI models 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"
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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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+ "### 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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+ "## 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 right).\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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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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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.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".
\n*If you have no intention to use ControlNet at all and don't want to download the required ControlNet models you can rightclick the \"ControlNet Model\"-Node and click bypass.*\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.
\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.\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 \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.
\nThe ControlNet image has to match the ControlNet model in the node inside of the \"Model Backend\"-Group.
\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.
\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.\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#### 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\n`Below are my recommended detection models as well as Detailer LoRA's for some of them that i use regularly.`"
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+ "color": "#223",
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+ },
+ {
+ "id": 51,
+ "type": "Prompts Everywhere",
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+ "name": "+ve",
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+ "color_on": "#FFA931",
+ "label": "CONDITIONING",
+ "name": "-ve",
+ "shape": 7,
+ "type": "*",
+ "link": 511
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+ ],
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+ "properties": {
+ "cnr_id": "cg-use-everywhere",
+ "ver": "8017bc6b063f45db6b986d9fc8bb76bd3234b838",
+ "Node name for S&R": "Prompts Everywhere",
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+ "color": "#707070",
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+ {
+ "id": 261,
+ "type": "CLIPTextEncode",
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+ "size": [
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+ "flags": {
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+ {
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+ "widget": {
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+ "outputs": [
+ {
+ "name": "CONDITIONING",
+ "type": "CONDITIONING",
+ "links": [
+ 511
+ ]
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+ ],
+ "title": "Prompt neg convert",
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+ "Node name for S&R": "CLIPTextEncode",
+ "widget_ue_connectable": {
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+ "bgcolor": "#5c5c5c",
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+ "name": "CONDITIONING",
+ "type": "CONDITIONING",
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+ 448
+ ]
+ }
+ ],
+ "title": "Prompt convert",
+ "properties": {
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+ "Node name for S&R": "CLIPTextEncode",
+ "widget_ue_connectable": {
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+ ],
+ "color": "#707070",
+ "bgcolor": "#5c5c5c",
+ "shape": 1
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+ "id": 34,
+ "type": "UltralyticsDetectorProvider",
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+ -540,
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+ 210,
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+ ],
+ "flags": {
+ "collapsed": false
+ },
+ "order": 37,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "BBOX_DETECTOR",
+ "type": "BBOX_DETECTOR",
+ "slot_index": 0,
+ "links": [
+ 53
+ ]
+ },
+ {
+ "name": "SEGM_DETECTOR",
+ "type": "SEGM_DETECTOR",
+ "slot_index": 1,
+ "links": [
+ 528
+ ]
+ }
+ ],
+ "title": "Eyes Ultralytics",
+ "properties": {
+ "cnr_id": "comfyui-impact-subpack",
+ "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8",
+ "Node name for S&R": "UltralyticsDetectorProvider",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "segm/PitEyeDetailer-v2-seg.pt"
+ ],
+ "color": "#223",
+ "bgcolor": "#335",
+ "shape": 1
+ },
+ {
+ "id": 353,
+ "type": "MarkdownNote",
+ "pos": [
+ -1530,
+ 1200
+ ],
+ "size": [
+ 370,
+ 360
+ ],
+ "flags": {
+ "collapsed": false,
+ "pinned": true
+ },
+ "order": 38,
+ "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": 352,
+ "type": "MarkdownNote",
+ "pos": [
+ -1530,
+ 590
+ ],
+ "size": [
+ 370,
+ 570
+ ],
+ "flags": {
+ "pinned": true
+ },
+ "order": 39,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "Recommended Ultralytics Models",
+ "properties": {
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
+ ],
+ "color": "#222",
+ "bgcolor": "#000",
+ "shape": 1
+ },
+ {
+ "id": 326,
+ "type": "MarkdownNote",
+ "pos": [
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+ -270
+ ],
+ "size": [
+ 210,
+ 220
+ ],
+ "flags": {
+ "pinned": true
+ },
+ "order": 40,
+ "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_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
\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)"
+ ],
+ "color": "#222",
+ "bgcolor": "#000",
+ "shape": 1
+ },
+ {
+ "id": 341,
+ "type": "MarkdownNote",
+ "pos": [
+ -280,
+ -270
+ ],
+ "size": [
+ 290,
+ 220
+ ],
+ "flags": {
+ "pinned": true
+ },
+ "order": 41,
+ "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,
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+ "size": [
+ 290,
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+ ],
+ "flags": {
+ "pinned": true
+ },
+ "order": 42,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "IPAdapter Models",
+ "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": 366,
+ "type": "Label (rgthree)",
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+ "flags": {
+ "allow_interaction": false,
+ "pinned": true
+ },
+ "order": 43,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "___________________________",
+ "properties": {
+ "fontSize": 24,
+ "fontFamily": "Arial",
+ "fontColor": "#ffffff",
+ "textAlign": "left",
+ "backgroundColor": "transparent",
+ "padding": 0,
+ "borderRadius": 0,
+ "widget_ue_connectable": {}
+ },
+ "color": "#fff0",
+ "bgcolor": "#fff0"
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+ "id": 360,
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+ "flags": {
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+ "order": 44,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "Pose Collections",
+ "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)."
+ ],
+ "color": "#222",
+ "bgcolor": "#000",
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+ "name": "images",
+ "type": "IMAGE",
+ "link": 506
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+ "name": "steps",
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+ "widget": {
+ "name": "steps"
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+ "name": "modelname",
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+ "type": "STRING",
+ "widget": {
+ "name": "modelname"
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+ "name": "positive",
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+ "widget": {
+ "name": "positive"
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+ "link": 507
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+ {
+ "name": "negative",
+ "shape": 7,
+ "type": "STRING",
+ "widget": {
+ "name": "negative"
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+ "link": 512
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+ {
+ "name": "seed_value",
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+ "widget": {
+ "name": "seed_value"
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+ "link": 522
+ },
+ {
+ "name": "width",
+ "shape": 7,
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+ "name": "width"
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+ "link": 520
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+ {
+ "name": "height",
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+ "name": "height"
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+ {
+ "name": "denoise",
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+ "name": "denoise"
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+ "shape": 7,
+ "type": "INT",
+ "widget": {
+ "name": "clip_skip"
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+ "link": 514
+ }
+ ],
+ "outputs": [
+ {
+ "name": "hashes",
+ "type": "STRING",
+ "links": null
+ },
+ {
+ "name": "a1111_params",
+ "type": "STRING",
+ "links": null
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+ "scheduler": true,
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+ "width": true,
+ "height": true,
+ "seed_value": true,
+ "cfg": true,
+ "modelname": true
+ }
+ },
+ "widgets_values": [
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+ "",
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+ "color": "#707070",
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+ "flags": {},
+ "order": 45,
+ "mode": 0,
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+ "type": "IPADAPTER",
+ "links": [
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+ },
+ {
+ "name": "CLIP_VISION",
+ "type": "CLIP_VISION",
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+ }
+ ],
+ "properties": {
+ "Node name for S&R": "workflow>IPAdapter Models",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "noobIPAMARK1_mark1.safetensors",
+ "CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors"
+ ],
+ "color": "#223",
+ "bgcolor": "#335",
+ "shape": 1
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+ "mode": 4,
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+ "name": "",
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+ "link": null
+ }
+ ],
+ "outputs": [
+ {
+ "color_off": "#a80",
+ "color_on": "#Fc0",
+ "dir": 4,
+ "name": "OPT_CONNECTION",
+ "type": "*",
+ "links": [
+ 3191
+ ]
+ }
+ ],
+ "title": "IPAdapter Style",
+ "properties": {
+ "widget_ue_connectable": {}
+ },
+ "color": "#707070",
+ "bgcolor": "#5c5c5c",
+ "shape": 1
+ },
+ {
+ "id": 456,
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+ "name": "",
+ "type": "*",
+ "link": null
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+ "color_off": "#a80",
+ "color_on": "#Fc0",
+ "dir": 4,
+ "name": "OPT_CONNECTION",
+ "type": "*",
+ "links": [
+ 3192
+ ]
+ }
+ ],
+ "title": "IPAdapter Composition",
+ "properties": {
+ "widget_ue_connectable": {}
+ },
+ "color": "#707070",
+ "bgcolor": "#5c5c5c",
+ "shape": 1
+ },
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+ "id": 237,
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+ "size": [
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+ "flags": {},
+ "order": 48,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "scheduler",
+ "type": "COMBO",
+ "links": [
+ 433,
+ 3195
+ ]
+ },
+ {
+ "name": "scheduler_name",
+ "type": "STRING",
+ "links": [
+ 517
+ ]
+ }
+ ],
+ "title": "Scheduler Selector",
+ "properties": {
+ "cnr_id": "comfyui-image-saver",
+ "ver": "473e71bbf486a6386629a86645b03fed4f38ae8d",
+ "Node name for S&R": "Scheduler Selector (Comfy) (Image Saver)",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "sgm_uniform"
+ ],
+ "color": "#432",
+ "bgcolor": "#653",
+ "shape": 1
+ },
+ {
+ "id": 458,
+ "type": "ImpactSchedulerAdapter",
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+ "size": [
+ 270,
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+ ],
+ "flags": {
+ "collapsed": true
+ },
+ "order": 88,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "scheduler",
+ "type": "COMBO",
+ "widget": {
+ "name": "scheduler"
+ },
+ "link": 3195
+ }
+ ],
+ "outputs": [
+ {
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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.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".\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.
\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.
\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.\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.\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.
\nThe ControlNet image has to match the ControlNet model in the node inside of the \"Model Backend\"-Group.
\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.
\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.\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.
\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.
\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.
\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.
\n
\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\n`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.`"
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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 - Low to mid-range is ideal to retain original 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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+- Compact Group Nodes for ControlNet & IPAdapter Models
+- Fixed clip inheritance amongst optional Detailer LoRA's & Optional Detailer prompts
+- Debug section now shows full prompt preview at all times
\ No newline at end of file
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+ ]
+ }
+ ],
+ "title": "Prompt convert",
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.27",
+ "Node name for S&R": "CLIPTextEncode",
+ "widget_ue_connectable": {
+ "text": true
+ }
+ },
+ "widgets_values": [
+ ""
+ ],
+ "color": "#707070",
+ "bgcolor": "#5c5c5c",
+ "shape": 1
+ },
+ {
+ "id": 326,
+ "type": "MarkdownNote",
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+ 220
+ ],
+ "flags": {
+ "pinned": true
+ },
+ "order": 30,
+ "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_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
\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)"
+ ],
+ "color": "#222",
+ "bgcolor": "#000",
+ "shape": 1
+ },
+ {
+ "id": 341,
+ "type": "MarkdownNote",
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+ -270
+ ],
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+ 220
+ ],
+ "flags": {
+ "pinned": true
+ },
+ "order": 31,
+ "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",
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+ ],
+ "flags": {
+ "pinned": true
+ },
+ "order": 32,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "IPAdapter Models",
+ "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
+ },
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+ "id": 366,
+ "type": "Label (rgthree)",
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+ 24
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+ "flags": {
+ "allow_interaction": false,
+ "pinned": true
+ },
+ "order": 33,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "___________________________",
+ "properties": {
+ "fontSize": 24,
+ "fontFamily": "Arial",
+ "fontColor": "#ffffff",
+ "textAlign": "left",
+ "backgroundColor": "transparent",
+ "padding": 0,
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+ "flags": {
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+ "order": 34,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "Pose Collections",
+ "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)."
+ ],
+ "color": "#222",
+ "bgcolor": "#000",
+ "shape": 1
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+ "id": 440,
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+ "flags": {},
+ "order": 35,
+ "mode": 0,
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+ "outputs": [
+ {
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+ "type": "IPADAPTER",
+ "links": [
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+ "name": "CLIP_VISION",
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+ }
+ ],
+ "properties": {
+ "Node name for S&R": "workflow>IPAdapter Models",
+ "widget_ue_connectable": {}
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+ "widgets_values": [
+ "noobIPAMARK1_mark1.safetensors",
+ "CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors"
+ ],
+ "color": "#223",
+ "bgcolor": "#335",
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+ "link": null
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+ "outputs": [
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+ "dir": 4,
+ "name": "OPT_CONNECTION",
+ "type": "*",
+ "links": [
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+ ]
+ }
+ ],
+ "title": "IPAdapter Style",
+ "properties": {
+ "widget_ue_connectable": {}
+ },
+ "color": "#707070",
+ "bgcolor": "#5c5c5c",
+ "shape": 1
+ },
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+ "dir": 4,
+ "name": "OPT_CONNECTION",
+ "type": "*",
+ "links": [
+ 3192
+ ]
+ }
+ ],
+ "title": "IPAdapter Composition",
+ "properties": {
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+ "color": "#707070",
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+ "shape": 1
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+ }
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+ "title": "CFG / Guidance",
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+ "color": "#432",
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+ "flags": {},
+ "order": 39,
+ "mode": 0,
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+ "title": "Steps",
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+ "color": "#432",
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+ }
+ ],
+ "title": "EPS Model",
+ "properties": {
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+ "ver": "0.3.27",
+ "Node name for S&R": "ModelSamplingDiscrete",
+ "widget_ue_connectable": {}
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+ "color": "#707070",
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+ "name": "MODEL",
+ "type": "MODEL",
+ "slot_index": 0,
+ "links": [
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+ }
+ ],
+ "title": "V-Pred Model",
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+ "widget_ue_connectable": {}
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+ "mode": 4,
+ "inputs": [
+ {
+ "name": "clip",
+ "type": "CLIP",
+ "link": 1506
+ }
+ ],
+ "outputs": [
+ {
+ "name": "CONDITIONING",
+ "type": "CONDITIONING",
+ "links": [
+ 617,
+ 3356
+ ]
+ }
+ ],
+ "title": "Nipples prompt",
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.27",
+ "Node name for S&R": "CLIPTextEncode",
+ "widget_ue_connectable": {}
+ },
+ "widgets_values": [
+ "nipples"
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+ "color": "#232",
+ "bgcolor": "#353",
+ "shape": 1
+ },
+ {
+ "id": 19,
+ "type": "FaceDetailer",
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+ "order": 113,
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+ "type": "CONDITIONING",
+ "link": null
+ },
+ {
+ "name": "bbox_detector",
+ "type": "BBOX_DETECTOR",
+ "link": 44
+ },
+ {
+ "name": "sam_model_opt",
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+ },
+ {
+ "name": "denoise",
+ "type": "FLOAT",
+ "widget": {
+ "name": "denoise"
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+ "link": 3376
+ }
+ ],
+ "outputs": [
+ {
+ "name": "image",
+ "type": "IMAGE",
+ "slot_index": 0,
+ "links": [
+ 55,
+ 576
+ ]
+ },
+ {
+ "name": "cropped_refined",
+ "shape": 6,
+ "type": "IMAGE",
+ "slot_index": 1,
+ "links": []
+ },
+ {
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+ "links": [
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+ },
+ {
+ "name": "mask",
+ "type": "MASK",
+ "slot_index": 3,
+ "links": []
+ },
+ {
+ "name": "detailer_pipe",
+ "type": "DETAILER_PIPE",
+ "links": []
+ },
+ {
+ "name": "cnet_images",
+ "shape": 6,
+ "type": "IMAGE",
+ "links": null
+ }
+ ],
+ "title": "Face Detailer",
+ "properties": {
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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.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".\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.
\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.
\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.\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.\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.
\nThe ControlNet image has to match the ControlNet model in the node inside of the \"Model Backend\"-Group.
\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.
\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.\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.
\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.
\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.
\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.
\n
\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\n`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.`"
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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 - Low to mid-range is ideal to retain original 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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+ "#### 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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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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\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_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
\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)"
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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.
\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.
\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.
\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.
\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.
\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.
\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.
\nThe ControlNet image has to match the ControlNet model in the node inside of the \"Model Backend\"-Group.
\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.
\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.
\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.
\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.
\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.
\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.
\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.
\n
\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.
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`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.`"
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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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+ "#### 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."
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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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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 - Low to mid-range is ideal to retain original 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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+ "### 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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\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_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
\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)"
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+ ],
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+ "type": "STRING",
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+ "title": "End quality prompt (Optional)",
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+ ],
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+ "bgcolor": "#353",
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+ "order": 175,
+ "mode": 0,
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+ {
+ "name": "images",
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+ ],
+ "outputs": [],
+ "title": "Preview after Detailing",
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.14",
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+ "type": "MarkdownNote",
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+ "order": 62,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "Recommended Ultralytics Models",
+ "properties": {
+ "widget_ue_connectable": {}
+ },
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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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+ "label": " ",
+ "name": "Low VRAM for Style",
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+ "label": " ",
+ "name": "IPAdapter Composition",
+ "type": "*",
+ "link": 10374
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+ "dir": 3,
+ "label": " ",
+ "name": "Low VRAM for Composition",
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+ "label": " ",
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+ "type": "*",
+ "links": null
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+ "title": "IPAdapter",
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+ "collapse_connections": true
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+ "color": "#233",
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+ "order": 141,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "images",
+ "type": "IMAGE",
+ "link": 10742
+ }
+ ],
+ "outputs": [],
+ "title": "ControlNet Pose Preview",
+ "properties": {
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+ "ver": "0.3.33",
+ "Node name for S&R": "PreviewImage",
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+ "type": "ShowText|pysssss",
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+ ],
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+ "shape": 6,
+ "type": "STRING",
+ "links": null
+ }
+ ],
+ "title": "Prompt preview",
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+ "ver": "9f7b3215e6af317603056a9a1666bf6e83e28835",
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+ "#### 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.\n\nThe Pre-HiRes Fix-Node to the left shows you how the image looks like before the HiRes-Fix is applied."
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+ "label": " ",
+ "name": "OPT_CONNECTION",
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+ "title": "General Process Control",
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+ "order": 152,
+ "mode": 0,
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+ "type": "IMAGE",
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+ },
+ {
+ "name": "vae",
+ "type": "VAE",
+ "link": null
+ }
+ ],
+ "outputs": [
+ {
+ "name": "LATENT",
+ "type": "LATENT",
+ "links": [
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+ ]
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+ "properties": {
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+ "title": "Steps",
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+ "Node name for S&R": "mxSlider",
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+ "min": 0,
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+ "step": 1,
+ "decimals": 0,
+ "snap": true,
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+ "type": "INT,FLOAT,IMAGE,LATENT",
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+ "type": "INT",
+ "links": [
+ 11085
+ ]
+ },
+ {
+ "name": "FLOAT",
+ "type": "FLOAT",
+ "links": null
+ }
+ ],
+ "title": "calc steps",
+ "properties": {
+ "cnr_id": "comfyui-custom-scripts",
+ "ver": "aac13aa7ce35b07d43633c3bbe654a38c00d74f5",
+ "ue_properties": {
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+ ],
+ "title": "CFG / Guidance",
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+ "title": "calc cfg",
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+ "### 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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+ "## 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 - Low to mid-range is ideal to retain original 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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+ "#### 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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+ "#### Model Backend\nIn the **Model Backend** group, choose your Checkpoint, VAE, Upscale Model as well as ControlNet Model and the Pre-processor Model.
\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.
\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.
\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.
\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.
\nYou can also enable HiRes-Fix, which resamples the upscaled image with a low denoise value to repaint it for higher resolution and quality. It’s recommended to use \"Color Fix\" alongside it to preserve the original colors, as resampling can sometimes wash out contrast.
\nThe Hi-Res Fix Denoise value is only applied when Hi-Res Fix is enabled and determines how much of the original image is overwritten. A value between 0.25 and 0.35 is recommended.
\nFurthermore you can select which of the general LoRA's you want to enable that'll be used throughout the whole process including the detailing - you can set them in the \"LoRA's\"-Group below.
\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.
\nThe ControlNet image has to match the ControlNet model in the node inside of the \"Model Backend\"-Group.
\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.
\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.
\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.
\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.
\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.
\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.
\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.
\n
\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.
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`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.`"
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+ "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!"
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\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"
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\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"
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\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)
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\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_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
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\n[rgthree-comfy](https://github.com/rgthree/rgthree-comfy)
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+ "### ↓ Below you can find LoRA's you can activate as well as the settings for the Detailer. Between the LoRA's and the Detailers itself you can find an explanation of the most important variables and how to improve your results."
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+ "#### ← To the left you can find the LoRA selectors for each specific body-part.
\n#### To the bottom left of this note, right below the \"Detailer LoRA's\"-Node, you can find my recommendations to improve the quality for body-specific parts even further.\n\n---\n\n#### → To the right are the Detailers, open the nodes, after activating them above, by clicking the rectangle to the left of their name and then adapt the settings to your needs to improve your results even further. These are the most important parameters to improve your results:
\n\n``Positive Prompt Node (Detailer Control-Group)`` — Use optional body-part positive prompts in the \"Detailer prompts\"-Group. \n Use **body-part specific LoRA’s** for best results.\n\n``guide_size`` — Target short-side pixels for each crop before inpaint. Higher = more detail, more VRAM.\n\n``max_size`` — Cap on the crop’s long side after resizing. Prevents huge crops; set ≥ largest expected crop to avoid downscaling.\n\n``feather`` — Blur on the blend mask edges. Higher = smoother seams, less edge noise (but slightly softer detail).\n\n``bbox_threshold`` — Detector confidence cutoff. Higher = fewer, surer detections; lower = more/looser boxes.\n\n``bbox_dilation`` — Extra pixels added around each bbox (padding). More context → more natural blends.\n\n``bbox_crop_factor`` — Multiplies bbox size before cropping (e.g., 1.2 = +20%). Similar to dilation but proportional.\n\n``sam_dilation`` — Dilate/erode SAM mask by pixels. Positive = expand mask, negative = tighten.\n\n``sam_threshold`` — Confidence cutoff for SAM mask. Lower = larger masks; higher = tighter masks.\n\n``sam_bbox_expansion`` — Scale factor applied to bbox before running SAM (e.g., 1.2 = +20%).\n\n``sam_mask_hint_threshold`` — Threshold for using hint logits with SAM; higher trusts hints less.\n\n``drop_size`` — Minimum mask/crop size (px). Filters tiny false positives.\n\n``noise_mask_feather`` — Feather for the noise application inside the mask. Higher = smoother noise transition, fewer gritty rims.\n\n``cycle`` — How many times to detail the detected region(s). >1 can refine tough areas at extra cost.\n\n---\n\n### Rule of thumb(for 2x upscaled):\n>Start with ``guide_size`` 896–1024 (eyes 896–1024; face 1024–1536+ if the face is large).\n\n>Set ``max_size`` near your image long side (or 1536–2048 if VRAM is tight).\n\n>Use ``feather`` 24–48 (smaller areas ≈20–28; larger areas ≈32–48).\n\n>Keep ``noise_mask_feather`` ≈ 24–36 (small vs. large areas)."
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\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."
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+ "masterpiece, best quality, absurdres, amazing quality, kuchiki rukia, 1girl, solo, breasts, looking at viewer, blush, smile, cowboy shot, sleeveless, pants, sweater, hand on hip, v, turtleneck, denim, jeans, "
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+ "### Debug Section\n\nThe **\"Prompt preview\"** node displays the complete prompt used during image generation, this includes your start & end quality prompts if activated. \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 Pose Preview\"** shows the pose that is used from ControlNet. If you have ControlNet deactivated it'll just show the default image. If you have pre-processing during ControlNet enabled you'll see your pose that was generated through that here.\n\n--- \n\n**Pre-HiRes Fix** displays a preview of your image before the HiRes-Fix process is applied."
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+ "## First Row\n\n#### Sampler Settings\nThese settings will be used during all steps of the process. The Batch Size decides how many pictures will be created at once.
\nYou 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.
\nThe ControlNet Strength, ControlNet Start Percent & ControlNet End Percent only apply if you're using ControlNet, the same applies to the IPAdapter Style Strength & IPAdapter Composition Strength which only are applied if you're using either of them.\n\n---\n\n\n#### General Function Control\nIn the \"General Function Control\"-Group you can select if you want to see the image selection, when doing batches of image, to continue with the process as well as choose if you want to upscale your output image, as well as the factor by which you want to upscale.
\nYou can also enable HiRes-Fix, which resamples the upscaled image with a low denoise value to repaint it for higher resolution and quality.
\nThe Hi-Res Fix Denoise value is only applied when Hi-Res Fix is enabled and determines how much of the original image is overwritten. A value between 0.25 and 0.35 is recommended.
\nIt’s recommended to use \"Color Fix\" alongside it to preserve the original colors, as resampling can sometimes wash out contrast.
\nLastly you can select Start and/or End quality prompts to seperate your prompt so you don't have to always type/copy the quality tags of checkpoints/loras. You can see a preview of the full prompt in the Debug section of this workflow.\n\n---\n\n#### IPAdapter / ControlNet\nHere you select which functions of the IPAdapter/ControlNet you want to activate. There is always one Low VRAM option to activate ALONGSIDE the function counterpart. The Low VRAM Option will always downsize the input image for these functions to 512px on it's smallest side, while keeping aspect ratio, to ensure lower vram usage.
\nThis 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#### 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 (Optional)\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. The composition part works similar to ControlNet where the general composition is being copied by the image.
\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.
\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.
\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#### ControlNet (Optional)\nYou can either provide a full image in the \"Pre-Process image to Pose\" image selector or a ControlNet pose image in the \"Load ControlNet Pose\" image selector at the bottom.
\nThe ControlNet image has to match the ControlNet model in the node inside of the \"ControlNet Model\"-Node at the top.
\nIf you want to imitate the pose of an image and have selected a image in the \"Pre-Process image to Pose\"-Node inside the \"ControlNet\"-Group you have to enable the \"Use Pre-Processor\"-Node in the \"IPAdapter / ControlNet\"-Group.
\nAfter selecting a pre-processing model at the bottom of the \"Model Backend\"-Group you can see a preview of the generated/used pose in the \"ControlNet Pose Preview\"-Node inside the \"Debug\"-Group.
\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#### Prompts\nHere you fill out your positive & negative prompts for the image generation. If you have selected Start-/End quality prompts you can also fill them out here. You see a preview of your full positive prompt in the Debug section.
\nBoth positive and negative prompts also support 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).
\nIf 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.\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.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".
\nIf 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.
\nThere is text node that gives you a preview of your full prompt including all of your optional prompts combined as well as a preview for a Pre-HiRes Fix version of your image (if HiRes Fix is activated) and a preview of the ControlNet Image that has been loaded.
\nIf you're using a Pre-Processor this is where you'll see the finished processed pose for your image generation.
\nFurthermore there are multiple nodes you can open, by clicking the rectangle left to their name, for each body part that'll show you the new inpainted detailed bodypart.
\nIf the preview is the full image, the detailer was not activated. If the preview is a black rectangle it means that the ultralytics model could not find what it was trained on."
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+ "## ← 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."
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+ "title": "Recommended Ultralytics Models",
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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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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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+ "### 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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+ "type": "SEGM_DETECTOR",
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+ "title": "Face Ultralytics",
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+ "label": " ",
+ "name": "OPT_CONNECTION",
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+ "title": "Process Control",
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+- dynamic prompts/wildcards now supported through Impact-Pack, syntax [here](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/ImpactWildcard.md) - txt files have to be in the folder BEFORE comfy starts to be recognized
+- introduction of refiner functionality
+- switch for turning off seperate VAE to use baked-in VAE of checkpoint
+- replaced the single lora loaders and their 6 activation buttons with rgthree's lora stack loader to load as many as you want (same for detailer loras)
+- made image-selection filter an optional step since some people don't want to use it (Process Control - Enable Image Selection)
+- moved all model selection stuff into second row for more streamlined process
+- moved controlnet & ipadapter model selection into their respective groups for easier switching
+- removal of all group nodes & abstraction through subgraphs
+- overhauled notes in the workflow for better understanding & improving your results
+- global clipskip now happens AFTER lora loading (correct implementation, no difference to outcome quality)
+
+_wanted to add recommended detailer values you can just activate/deactivate (more vram but better results) but this is currently not possible since multiple custom_nodes still cause issues with subgraphs being bypassed_
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+ "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!"
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+ "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"
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+ "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"
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+ "[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_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
\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)"
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+ "### ↓ Below you can find LoRA's you can activate as well as the settings for the Detailer. Between the LoRA's and the Detailers itself you can find an explanation of the most important variables and how to improve your results."
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+ "#### ← To the left you can find the LoRA selectors for each specific body-part.
\n#### To the bottom left of this note, right below the \"Detailer LoRA's\"-Node, you can find my recommendations to improve the quality for body-specific parts even further.\n\n---\n\n#### → To the right are the Detailers, open the nodes, after activating them above, by clicking the rectangle to the left of their name and then adapt the settings to your needs to improve your results even further. These are the most important parameters to improve your results:
\n\n``Positive Prompt Node (Detailer Control-Group)`` — Use optional body-part positive prompts in the \"Detailer prompts\"-Group. \n Use **body-part specific LoRA’s** for best results.\n\n``guide_size`` — Target short-side pixels for each crop before inpaint. Higher = more detail, more VRAM.\n\n``max_size`` — Cap on the crop’s long side after resizing. Prevents huge crops; set ≥ largest expected crop to avoid downscaling.\n\n``feather`` — Blur on the blend mask edges. Higher = smoother seams, less edge noise (but slightly softer detail).\n\n``bbox_threshold`` — Detector confidence cutoff. Higher = fewer, surer detections; lower = more/looser boxes.\n\n``bbox_dilation`` — Extra pixels added around each bbox (padding). More context → more natural blends.\n\n``bbox_crop_factor`` — Multiplies bbox size before cropping (e.g., 1.2 = +20%). Similar to dilation but proportional.\n\n``sam_dilation`` — Dilate/erode SAM mask by pixels. Positive = expand mask, negative = tighten.\n\n``sam_threshold`` — Confidence cutoff for SAM mask. Lower = larger masks; higher = tighter masks.\n\n``sam_bbox_expansion`` — Scale factor applied to bbox before running SAM (e.g., 1.2 = +20%).\n\n``sam_mask_hint_threshold`` — Threshold for using hint logits with SAM; higher trusts hints less.\n\n``drop_size`` — Minimum mask/crop size (px). Filters tiny false positives.\n\n``noise_mask_feather`` — Feather for the noise application inside the mask. Higher = smoother noise transition, fewer gritty rims.\n\n``cycle`` — How many times to detail the detected region(s). >1 can refine tough areas at extra cost.\n\n---\n\n### Rule of thumb(for 2x upscaled):\n>Start with ``guide_size`` 896–1024 (eyes 896–1024; face 1024–1536+ if the face is large).\n\n>Set ``max_size`` near your image long side (or 1536–2048 if VRAM is tight).\n\n>Use ``feather`` 24–48 (smaller areas ≈20–28; larger areas ≈32–48).\n\n>Keep ``noise_mask_feather`` ≈ 24–36 (small vs. large areas)."
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+ "#### 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."
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+ "### You are free to remove the connections for pre-filled values like steps, cfg, sampler name & scheduler. (Don't disconnect denoise, you can set it conveniently in the \"Detailer Control-Group\") \n### Usually you will receive better results by tweaking these settings but it requires some fiddling, so here are some general tips:\n\n``sampler_name``: DPM++ 2M(dpmpp_2m) or UniPC for clean, stable detail. Less drastic changes to the input image.\n\n``scheduler``: karras (keeps more steps in the low-noise region, better for inpainting).\n\n``steps``: 20–24 for most (faces/lips); 18–22 for eyes; 24–28 for hands/genitals when fixes are hard.\n\n``cfg``: 5.0–6.0 (lower avoids crunchy noise; raise sparingly).\n\n---\n\nBy default, **negative prompts** are shared with the main image generation. \nTo use a custom one, connect a new **\"CLIP Text Encode (Prompt)\"** to the \"negative\" connection in the Detailer inside the `\"Detailer\"` group.\n"
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+ "### Debug Section\n\nThe **\"Prompt preview\"** node displays the complete prompt used during image generation, this includes your start & end quality prompts if activated. \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 Pose Preview\"** shows the pose that is used from ControlNet. If you have ControlNet deactivated it'll just show the default image. If you have pre-processing during ControlNet enabled you'll see your pose that was generated through that here.\n\n--- \n\n**Pre-HiRes Fix** displays a preview of your image before the HiRes-Fix process is applied."
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+ "## First Row\n\n#### Sampler Settings\nThese settings will be used during all steps of the process. The Batch Size decides how many pictures will be created at once.
\nYou 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.
\nThe ControlNet Strength, ControlNet Start Percent & ControlNet End Percent only apply if you're using ControlNet, the same applies to the IPAdapter Style Strength & IPAdapter Composition Strength which only are applied if you're using either of them.\n\n---\n\n\n#### General Function Control\nIn the \"General Function Control\"-Group you can select if you want to see the image selection, when doing batches of image, to continue with the process as well as choose if you want to upscale your output image, as well as the factor by which you want to upscale.
\nYou can also enable HiRes-Fix, which resamples the upscaled image with a low denoise value to repaint it for higher resolution and quality.
\nThe Hi-Res Fix Denoise value is only applied when Hi-Res Fix is enabled and determines how much of the original image is overwritten. A value between 0.25 and 0.35 is recommended.
\nIt’s recommended to use \"Color Fix\" alongside it to preserve the original colors, as resampling can sometimes wash out contrast.
\nLastly you can select Start and/or End quality prompts to seperate your prompt so you don't have to always type/copy the quality tags of checkpoints/loras. You can see a preview of the full prompt in the Debug section of this workflow.\n\n---\n\n#### IPAdapter / ControlNet\nHere you select which functions of the IPAdapter/ControlNet you want to activate. There is always one Low VRAM option to activate ALONGSIDE the function counterpart. The Low VRAM Option will always downsize the input image for these functions to 512px on it's smallest side, while keeping aspect ratio, to ensure lower vram usage.
\nThis 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#### 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 (Optional)\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. The composition part works similar to ControlNet where the general composition is being copied by the image.
\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.
\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.
\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#### ControlNet (Optional)\nYou can either provide a full image in the \"Pre-Process image to Pose\" image selector or a ControlNet pose image in the \"Load ControlNet Pose\" image selector at the bottom.
\nThe ControlNet image has to match the ControlNet model in the node inside of the \"ControlNet Model\"-Node at the top.
\nIf you want to imitate the pose of an image and have selected a image in the \"Pre-Process image to Pose\"-Node inside the \"ControlNet\"-Group you have to enable the \"Use Pre-Processor\"-Node in the \"IPAdapter / ControlNet\"-Group.
\nAfter selecting a pre-processing model at the bottom of the \"Model Backend\"-Group you can see a preview of the generated/used pose in the \"ControlNet Pose Preview\"-Node inside the \"Debug\"-Group.
\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#### Prompts\nHere you fill out your positive & negative prompts for the image generation. If you have selected Start-/End quality prompts you can also fill them out here. You see a preview of your full positive prompt in the Debug section.
\nBoth positive and negative prompts also support 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).
\nIf 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.\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.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".
\nIf 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.
\nThere is text node that gives you a preview of your full prompt including all of your optional prompts combined as well as a preview for a Pre-HiRes Fix version of your image (if HiRes Fix is activated) and a preview of the ControlNet Image that has been loaded.
\nIf you're using a Pre-Processor this is where you'll see the finished processed pose for your image generation.
\nFurthermore there are multiple nodes you can open, by clicking the rectangle left to their name, for each body part that'll show you the new inpainted detailed bodypart.
\nIf the preview is the full image, the detailer was not activated. If the preview is a black rectangle it means that the ultralytics model could not find what it was trained on."
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+ "## ← 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."
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+ "order": 59,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "Recommended Ultralytics Models",
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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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+ "order": 60,
+ "mode": 0,
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+ "title": "Recommended Detailer LoRA's",
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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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+ "### 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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+ "name": "SEGM_DETECTOR",
+ "type": "SEGM_DETECTOR",
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+ }
+ ],
+ "title": "Face Ultralytics",
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+ "title": "Is V-Pred Model",
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+ "name": "OPT_CONNECTION",
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+ ],
+ "title": "Use Refiner or Normal Sampler?",
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+ "title": "Hands Ultralytics",
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+ "title": "Nipples Ultralytics",
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+ "type": "VAE",
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+ },
+ {
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+ "links": []
+ }
+ ],
+ "title": "Refiner Checkpoint",
+ "properties": {
+ "cnr_id": "comfyui-custom-scripts",
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+ "outputs": [],
+ "title": "Preview after Upscale/HiRes Fix",
+ "properties": {
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+ "### Debug Section\n\nThe **\"Prompt preview\"** node displays the complete prompt used during image generation, this includes your start & end quality prompts if activated. \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 Pose Preview\"** shows the pose that is used from ControlNet. If you have ControlNet deactivated it'll just show the default image. If you have pre-processing during ControlNet enabled you'll see your pose that was generated through that here.\n\n--- \n\n**Pre-HiRes Fix** displays a preview of your image before the HiRes-Fix process is applied."
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+ "title": "____________________________________",
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+ "## ← 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."
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+ "outputs": [],
+ "title": "Recommended Ultralytics Models",
+ "properties": {
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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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+ "flags": {
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+ "pinned": true
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+ "order": 33,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "Recommended Detailer LoRA's",
+ "properties": {
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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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+ "order": 34,
+ "mode": 0,
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+ "title": "Pose Collections",
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+ "### 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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+ "type": "BBOX_DETECTOR",
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+ {
+ "name": "SEGM_DETECTOR",
+ "type": "SEGM_DETECTOR",
+ "slot_index": 1,
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+ }
+ ],
+ "title": "Nose Ultalytics",
+ "properties": {
+ "cnr_id": "comfyui-impact-subpack",
+ "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8",
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+ "title": "Lips Ultralytics",
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+ "id": 46,
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+ "type": "BBOX_DETECTOR",
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+ "type": "SEGM_DETECTOR",
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+ ],
+ "title": "Vagina Ultralytics",
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+ "widgets_values": [
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+ "color": "#223",
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+ "shape": 1
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+ {
+ "id": 564,
+ "type": "Power Lora Loader (rgthree)",
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+ "flags": {},
+ "order": 174,
+ "mode": 0,
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+ "name": "model",
+ "type": "MODEL",
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+ {
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+ "dir": 4,
+ "name": "MODEL",
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+ "type": "MODEL",
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+ ],
+ "title": "Eyes LoRA",
+ "properties": {
+ "cnr_id": "rgthree-comfy",
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+ "Show Strengths": "Single Strength",
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+ {},
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+ {
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+ "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"
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+ "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"
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+ "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!"
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+ "#### ← To the left you can find the LoRA selectors for each specific body-part.
\n#### To the bottom left of this note, right below the \"Detailer LoRA's\"-Node, you can find my recommendations to improve the quality for body-specific parts even further.\n\n---\n\n#### → To the right are the Detailers, open the nodes, after activating them above, by clicking the rectangle to the left of their name and then adapt the settings to your needs to improve your results even further. These are the most important parameters to improve your results:
\n\n``Positive Prompt Node (Detailer Control-Group)`` — Use optional body-part positive prompts in the \"Detailer prompts\"-Group. \n Use **body-part specific LoRA’s** for best results.\n\n``guide_size`` — Target short-side pixels for each crop before inpaint. Higher = more detail, more VRAM.\n\n``max_size`` — Cap on the crop’s long side after resizing. Prevents huge crops; set ≥ largest expected crop to avoid downscaling.\n\n``feather`` — Blur on the blend mask edges. Higher = smoother seams, less edge noise (but slightly softer detail).\n\n``bbox_threshold`` — Detector confidence cutoff. Higher = fewer, surer detections; lower = more/looser boxes.\n\n``bbox_dilation`` — Extra pixels added around each bbox (padding). More context → more natural blends.\n\n``bbox_crop_factor`` — Multiplies bbox size before cropping (e.g., 1.2 = +20%). Similar to dilation but proportional.\n\n``sam_dilation`` — Dilate/erode SAM mask by pixels. Positive = expand mask, negative = tighten.\n\n``sam_threshold`` — Confidence cutoff for SAM mask. Lower = larger masks; higher = tighter masks.\n\n``sam_bbox_expansion`` — Scale factor applied to bbox before running SAM (e.g., 1.2 = +20%).\n\n``sam_mask_hint_threshold`` — Threshold for using hint logits with SAM; higher trusts hints less.\n\n``drop_size`` — Minimum mask/crop size (px). Filters tiny false positives.\n\n``noise_mask_feather`` — Feather for the noise application inside the mask. Higher = smoother noise transition, fewer gritty rims.\n\n``cycle`` — How many times to detail the detected region(s). >1 can refine tough areas at extra cost.\n\n---\n\n### Rule of thumb(for 2x upscaled):\n>Start with ``guide_size`` 896–1024 (eyes 896–1024; face 1024–1536+ if the face is large).\n\n>Set ``max_size`` near your image long side (or 1536–2048 if VRAM is tight).\n\n>Use ``feather`` 24–48 (smaller areas ≈20–28; larger areas ≈32–48).\n\n>Keep ``noise_mask_feather`` ≈ 24–36 (small vs. large areas)."
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\nBlue = Load model/checkpoint/lora/image
\nYellow = Set generation values
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\nRed = Negative prompts
\nPale Blue = Previews
\nBlack = Info/Tutorial
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+ "### 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)"
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+ "[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-vslinx-nodes](https://github.com/vslinx/ComfyUI-vslinx-nodes)
\n[ComfyUI-Inpaint-CropAndStitch](https://github.com/lquesada/ComfyUI-Inpaint-CropAndStitch)
\n[comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
\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)"
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+ "#### 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."
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+ "## First Row\n\n#### Sampler Settings\nThese settings will be used during all steps of the process. The Batch Size decides how many pictures will be created at once.
\nYou 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.
\nThe ControlNet Strength, ControlNet Start Percent & ControlNet End Percent only apply if you're using ControlNet, the same applies to the IPAdapter Style Strength & IPAdapter Composition Strength which only are applied if you're using either of them.\n\n---\n\n\n#### General Function Control\nIn the \"General Function Control\"-Group you can select if you want to see the image selection, when doing batches of image, to continue with the process as well as choose if you want to upscale your output image, as well as the factor by which you want to upscale.
\nYou can also enable HiRes-Fix, which resamples the upscaled image with a low denoise value to repaint it for higher resolution and quality.
\nThe Hi-Res Fix Denoise value is only applied when Hi-Res Fix is enabled and determines how much of the original image is overwritten. A value between 0.25 and 0.35 is recommended.
\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.\nLastly you can select Start and/or End quality prompts to seperate your prompt so you don't have to always type/copy the quality tags of checkpoints/loras. You can see a preview of the full prompt in the Debug section of this workflow.\n\n---\n\n#### IPAdapter / ControlNet\nHere you select which functions of the IPAdapter/ControlNet you want to activate. There is always one Low VRAM option to activate ALONGSIDE the function counterpart. The Low VRAM Option will always downsize the input image for these functions to 512px on it's smallest side, while keeping aspect ratio, to ensure lower vram usage.
\nThis 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#### 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 (Optional)\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. The composition part works similar to ControlNet where the general composition is being copied by the image.
\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.
\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.
\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#### ControlNet (Optional)\nYou can either provide a full image in the \"Pre-Process image to Pose\" image selector or a ControlNet pose image in the \"Load ControlNet Pose\" image selector at the bottom.
\nThe ControlNet image has to match the ControlNet model in the node inside of the \"ControlNet Model\"-Node at the top.
\nIf you want to imitate the pose of an image and have selected a image in the \"Pre-Process image to Pose\"-Node inside the \"ControlNet\"-Group you have to enable the \"Use Pre-Processor\"-Node in the \"IPAdapter / ControlNet\"-Group.
\nAfter selecting a pre-processing model at the bottom of the \"Model Backend\"-Group you can see a preview of the generated/used pose in the \"ControlNet Pose Preview\"-Node inside the \"Debug\"-Group.
\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#### Prompts\nHere you fill out your positive & negative prompts for the image generation. If you have selected Start-/End quality prompts you can also fill them out here. You see a preview of your full positive prompt in the Debug section.
\nBoth positive and negative prompts also support 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).
\nIf 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.\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.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".
\nIf 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.
\nThere is text node that gives you a preview of your full prompt including all of your optional prompts combined as well as a preview for a Pre-HiRes Fix version of your image (if HiRes Fix is activated) and a preview of the ControlNet Image that has been loaded.
\nIf you're using a Pre-Processor this is where you'll see the finished processed pose for your image generation.
\nFurthermore there are multiple nodes you can open, by clicking the rectangle left to their name, for each body part that'll show you the new inpainted detailed bodypart.
\nIf the preview is the full image, the detailer was not activated. If the preview is a black rectangle it means that the ultralytics model could not find what it was trained on."
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+ "## 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"
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+ "## 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. "
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+ "### 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 select the image for an external pose to be used or pre-processed as mentioned in the functions above."
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+ "## ← 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."
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+ "order": 29,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "Recommended Ultralytics Models",
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+ "#### FACE\n- [Mask aDetailer - Face detailer for Eyes, Eyebrows, and Nose](https://civitai.com/models/1222100/mask-adetailer-face-detailer-for-eyes-eyebrows-and-nose)\n- [ADetailer Anime Girl Face Segmentation / 漫画娘 顔検知](https://civitai.com/models/1076050/adetailer-anime-girl-face-segmentation)\n\n#### EYES\n- [Eyes detection (Adetailer)](https://civitai.com/models/150925/eyes-detection-adetailer)\n- [Eyeful | Robust eye detection for Adetailer / ComfyUI](https://civitai.com/models/178518/eyeful-or-robust-eye-detection-for-adetailer-comfyui)\n- [PitEyeDetailer](https://huggingface.co/camenduru/ultralytics/blob/main/PitEyeDetailer-v2-seg.pt)\n\n#### LIPS / Mouth\n- [ADetailer (After Detailer) Lips Model](https://civitai.com/models/142240/adetailer-after-detailer-lips-model)\n- [ADetailer 2d mouth detection [yolo/segmentation]](https://civitai.com/models/1306938/adetailer-2d-mouth-detection-yolosegmentation)\n\n\n#### NOSE\n- [ADetailer (Nose)](https://www.mediafire.com/file/f6buda8p06cosn6/adetailerNose_.pt/file) ([originally](https://civitai.com/models/1232431/adetailer-nose) from user [vortumanko](https://civitai.com/user/vortumanko) but taken offline by owner, works best with anthro noses, for everything else i recommend one of the face detailers above)\n\n#### HANDS\n- [hand_yolov8s.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov8s.pt)\n- [hand_yolov9c.pt](https://huggingface.co/Bingsu/adetailer/blob/main/hand_yolov9c.pt)\n\n#### NIPPLES\n- [Nipple Adetailer for Anime Girls](https://civitai.com/models/1132590/nipple-adetailer-for-anime-girls)\n- [ADetailer Nipples model](https://civitai.com/models/490259/adetailer-nipples-model)\n\n\n#### VAGINA\n- [Anime NSFW Detection/ADetailer All-in-One](https://civitai.com/models/1313556/anime-nsfw-detectionadetailer-all-in-one)\n- [Pussy Adetailer](https://civitai.com/models/150234/pussy-adetailer)\n\n\n#### PENIS\n- [Cock and Ball Detection 2D edition (ADetailer)](https://civitai.com/models/310687/cock-and-ball-detection-2d-edition-adetailer)\n"
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+ "order": 30,
+ "mode": 0,
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+ "title": "Recommended Detailer LoRA's",
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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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+ "outputs": [],
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+ "### 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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+ "type": "BBOX_DETECTOR",
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+ {
+ "name": "SEGM_DETECTOR",
+ "type": "SEGM_DETECTOR",
+ "slot_index": 1,
+ "links": [
+ 179
+ ]
+ }
+ ],
+ "title": "Nose Ultalytics",
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+ "cnr_id": "comfyui-impact-subpack",
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+ }
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+ "title": "Lips Ultralytics",
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+ "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8",
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+ "type": "SEGM_DETECTOR",
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+ "title": "Vagina Ultralytics",
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+ "bbox/pussy_yolo11s_bbox_best.pt"
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+ "id": 564,
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+ "title": "Eyes LoRA",
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+ "Show Strengths": "Single Strength",
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+ ],
+ "title": "Penis LoRA",
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+ ],
+ "title": "Denoise Eyes",
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+ "slot_index": 0,
+ "links": [
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+ },
+ {
+ "name": "SEGM_DETECTOR",
+ "type": "SEGM_DETECTOR",
+ "slot_index": 1,
+ "links": [
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+ ]
+ }
+ ],
+ "title": "Eyes Ultralytics",
+ "properties": {
+ "cnr_id": "comfyui-impact-subpack",
+ "ver": "74db20c95eca152a6d686c914edc0ef4e4762cb8",
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+ },
+ "widgets_values": [
+ "segm/PitEyeDetailer-v2-seg.pt"
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+ "type": "FLOAT",
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+ }
+ ],
+ "title": "Denoise Hands",
+ "properties": {
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+ "ver": "0a3857ada2c1780188b9d5abb95f9f3e6561d976",
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+ "flags": {
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+ "order": 38,
+ "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
+ ]
+ }
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+ "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"
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+ "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"
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+ "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!"
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+ "#### ← To the left you can find the LoRA selectors for each specific body-part.
\n#### To the bottom left of this note, right below the \"Detailer LoRA's\"-Node, you can find my recommendations to improve the quality for body-specific parts even further.\n\n---\n\n#### → To the right are the Detailers, open the nodes, after activating them above, by clicking the rectangle to the left of their name and then adapt the settings to your needs to improve your results even further. These are the most important parameters to improve your results:
\n\n``Positive Prompt Node (Detailer Control-Group)`` — Use optional body-part positive prompts in the \"Detailer prompts\"-Group. \n Use **body-part specific LoRA’s** for best results.\n\n``guide_size`` — Target short-side pixels for each crop before inpaint. Higher = more detail, more VRAM.\n\n``max_size`` — Cap on the crop’s long side after resizing. Prevents huge crops; set ≥ largest expected crop to avoid downscaling.\n\n``feather`` — Blur on the blend mask edges. Higher = smoother seams, less edge noise (but slightly softer detail).\n\n``bbox_threshold`` — Detector confidence cutoff. Higher = fewer, surer detections; lower = more/looser boxes.\n\n``bbox_dilation`` — Extra pixels added around each bbox (padding). More context → more natural blends.\n\n``bbox_crop_factor`` — Multiplies bbox size before cropping (e.g., 1.2 = +20%). Similar to dilation but proportional.\n\n``sam_dilation`` — Dilate/erode SAM mask by pixels. Positive = expand mask, negative = tighten.\n\n``sam_threshold`` — Confidence cutoff for SAM mask. Lower = larger masks; higher = tighter masks.\n\n``sam_bbox_expansion`` — Scale factor applied to bbox before running SAM (e.g., 1.2 = +20%).\n\n``sam_mask_hint_threshold`` — Threshold for using hint logits with SAM; higher trusts hints less.\n\n``drop_size`` — Minimum mask/crop size (px). Filters tiny false positives.\n\n``noise_mask_feather`` — Feather for the noise application inside the mask. Higher = smoother noise transition, fewer gritty rims.\n\n``cycle`` — How many times to detail the detected region(s). >1 can refine tough areas at extra cost.\n\n---\n\n### Rule of thumb(for 2x upscaled):\n>Start with ``guide_size`` 896–1024 (eyes 896–1024; face 1024–1536+ if the face is large).\n\n>Set ``max_size`` near your image long side (or 1536–2048 if VRAM is tight).\n\n>Use ``feather`` 24–48 (smaller areas ≈20–28; larger areas ≈32–48).\n\n>Keep ``noise_mask_feather`` ≈ 24–36 (small vs. large areas)."
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\nBlue = Load model/checkpoint/lora/image
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\nRed = Negative prompts
\nPale Blue = Previews
\nBlack = Info/Tutorial
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+ "title": "External ControlNet Image",
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+ "### 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)"
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+ "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."
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+ "outputs": [
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+ "name": "MODEL",
+ "type": "MODEL",
+ "links": [
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+ "name": "tiles",
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+ "title": "IPAdapter Tiled Comp",
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+ "title": "Color Fix Strength",
+ "properties": {
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+ "## 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"
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+ "## 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. "
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+ "### 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 select the image for an external pose to be used or pre-processed as mentioned in the functions above."
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+ "## First Row\n\n#### Sampler Settings\nThese settings will be used during all steps of the process. The Batch Size decides how many pictures will be created at once.
\nYou 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.
\nThe ControlNet Strength, ControlNet Start Percent & ControlNet End Percent only apply if you're using ControlNet, the same applies to the IPAdapter Style Strength & IPAdapter Composition Strength which only are applied if you're using either of them.\n\n---\n\n\n#### General Function Control\nIn the \"General Function Control\"-Group you can select if you want to see the image selection, when doing batches of image, to continue with the process as well as choose if you want to upscale your output image, as well as the factor by which you want to upscale.
\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.\nLastly you can select Start and/or End quality prompts to seperate your prompt so you don't have to always type/copy the quality tags of checkpoints/loras. You can see a preview of the full prompt in the Debug section of this workflow.\n\n---\n\n#### IPAdapter / ControlNet\nHere you select which functions of the IPAdapter/ControlNet you want to activate. There is always one Low VRAM option to activate ALONGSIDE the function counterpart. The Low VRAM Option will always downsize the input image for these functions to 512px on it's smallest side, while keeping aspect ratio, to ensure lower vram usage.
\nThis 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#### 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 (Optional)\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. The composition part works similar to ControlNet where the general composition is being copied by the image.
\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.
\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.
\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#### ControlNet (Optional)\nYou can either provide a full image in the \"Pre-Process image to Pose\" image selector or a ControlNet pose image in the \"Load ControlNet Pose\" image selector at the bottom.
\nThe ControlNet image has to match the ControlNet model in the node inside of the \"ControlNet Model\"-Node at the top.
\nIf you want to imitate the pose of an image and have selected a image in the \"Pre-Process image to Pose\"-Node inside the \"ControlNet\"-Group you have to enable the \"Use Pre-Processor\"-Node in the \"IPAdapter / ControlNet\"-Group.
\nAfter selecting a pre-processing model at the bottom of the \"Model Backend\"-Group you can see a preview of the generated/used pose in the \"ControlNet Pose Preview\"-Node inside the \"Debug\"-Group.
\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#### Prompts\nHere you fill out your positive & negative prompts for the image generation. If you have selected Start-/End quality prompts you can also fill them out here. You see a preview of your full positive prompt in the Debug section.
\nBoth positive and negative prompts also support 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).
\nIf 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.\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.
\nIf you're using a v-prediction model, make sure to enable \"Is V-Pred Model\".
\nIf 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.
\nThere is text node that gives you a preview of your full prompt including all of your optional prompts combined as well as a preview for a Pre-HiRes Fix version of your image (if HiRes Fix is activated) and a preview of the ControlNet Image that has been loaded.
\nIf you're using a Pre-Processor this is where you'll see the finished processed pose for your image generation.
\nFurthermore there are multiple nodes you can open, by clicking the rectangle left to their name, for each body part that'll show you the new inpainted detailed bodypart.
\nIf the preview is the full image, the detailer was not activated. If the preview is a black rectangle it means that the ultralytics model could not find what it was trained on."
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+ "outputs": [
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+ "name": "stitcher",
+ "type": "STITCHER",
+ "slot_index": 0,
+ "links": [
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+ "widgets_values": [
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+ ],
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+ "bgcolor": "#5c5c5c",
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+ },
+ {
+ "id": 674,
+ "type": "LazySwitchKJ",
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+ 1230
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+ "size": [
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+ "flags": {
+ "collapsed": true
+ },
+ "order": 5,
+ "mode": 0,
+ "inputs": [
+ {
+ "localized_name": "on_false",
+ "name": "on_false",
+ "type": "*",
+ "link": 22017
+ },
+ {
+ "localized_name": "on_true",
+ "name": "on_true",
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+ "link": 37802
+ },
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+ "localized_name": "switch",
+ "name": "switch",
+ "type": "BOOLEAN",
+ "widget": {
+ "name": "switch"
+ },
+ "link": 22016
+ }
+ ],
+ "outputs": [
+ {
+ "localized_name": "*",
+ "name": "*",
+ "type": "*",
+ "links": [
+ 22018,
+ 22019
+ ]
+ }
+ ],
+ "title": "After Inpaint IMG",
+ "properties": {
+ "cnr_id": "comfyui-kjnodes",
+ "ver": "0adab07d1ad3d0780afc97319eaf37c3681af37d",
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+}
\ No newline at end of file
diff --git a/workflows/TXT2IMG/v5.1/changelod.md b/workflows/TXT2IMG/v5.1/changelod.md
new file mode 100644
index 0000000000000000000000000000000000000000..b33d9c5fa626e9c6eb6a92641559f57a2113d19c
--- /dev/null
+++ b/workflows/TXT2IMG/v5.1/changelod.md
@@ -0,0 +1,11 @@
+- Added new multiline prompt node for positive and negative prompt with option to add wildcards directly through a dropdown browser
+- fixed a bug where the image saved didn't have the processed negative prompts if wildcards were used in the negative prompts
+- removed wlsh custom_node dependency and replaces upscaling with my own upscaling that works the same but uses less vram
+- Switched out some boolean switches for lazy switches for better performance
+- Removal of Crystools nodes as they are mostly obsolete and can be replaced by core/kj nodes
+- fixed bug where hires cn img didnt get passed down on inpainting with controlnet
+- now saves positive & negative prompt of inpainting when in use, including lora's used
+- removed old historical link and node data from json that is no longer in use (no functionality or bugs fixed, simply changes for the workflow validator from comfy and rgthree)
+
+TODO:
+- open MR in rgthree Fast Bypasser to maybe also output the booleans from each connected bypasser, if that is not possible or not accepted build own node to connect and read these bool statements or remove rgthree bypasser for my own true/false bypasser on all detailers & prompts to bypass all previews of unused detailers to use less computing power, less disk space and speed up process while keeping assets gallery clean
\ No newline at end of file