Update (v2): The new Requirements(Custom-Nodes) are in the Workflow itself as well as in this Description under "Requirements (v2)".
I had to swap the cg-image-picker with the cg-image-filter because the image-picker is no longer being maintained and therefore deprecated and not compatible with newer comfyui versions.
I wasn't really satisfied with most of the Detailer Workflows because they either were too complicated for no reason or didn't had enough options out of the box.
This is why i've created my own Workflow that lets you generate a batch of however many images you want, select the images you'd want to upscale & improve the details and then see a preview of before & after.
Every Group of Actions is selectable, meaning you can decide if you'd like to upscale, use v-pred model, save the result and select/deselect every single ADetailer by a simple yes/no selector.
Every Part in the Process is optional and it will always work as long as you keep "Models & Setup", "Sampler Settings" as well as "Prompts" enabled.
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)
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)
Requirements (v2.2 and above)
ComfyUI_Comfyroll_Nodes (https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/wiki)
Otherwise same Custom-Nodes as v2 but you can remove Comfyui-ergouzi-Nodes
Select all necessary models, go down to the Detailer Groups and open the "UltralyticsDetectorP"-Node and select the corresponding Detector-Model for the Body-Part.
You will find my recommended Detection-Models in the Workflow itself or here under "Suggested Resources".
Go to the "Detailer Selector" in the upper area and choose your options.
Only required Groups are Models & Setup, Sampler Settings and Prompts, the rest can be bypassed without compromising the functionality.
If you have a V-Pred Model please activate the "Enable V-Pred Model"-Option to generate images.
You find all Information on how to improve your Details further inside of the "How to improve further"-Note inside of the Workflow.
For v2 check the "How to use"-Node inside the Workflow itself.
I'd love to see your feedback or opinion or 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. I'm a big fan of the image picker extension because i can select the best images out of a batch to continue working with and if the result is not to my liking i can easily use the extension as a kind of "img2img" node because i can tweak some settings, enable/disable some detailer's and then select my desired images again and start another upscaling&detailer round by simply selecting the images and hitting "Progress selected image as restart".
! Important !
This version now uses subgraphs. This means you need to have ComfyUI version 0.3.51 or above and also need to update your frontend to AT LEAST 1.24.3 or later.
dynamic prompts/wildcards now supported through Impact-Pack, syntax here - 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
Go ahead and upload yours!
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