Introduction:
Hey everyone! This is my personal, finely-tuned universal workflow designed for creating vibrant anime artwork and stunning portraits.
It is built to be extremely flexible and works perfectly with any of your favorite checkpoints. Below, you can see a breakdown of what this pipeline consists of and how it works.
What's inside:
3 Generation Stages: A smooth pipeline consisting of Text-to-Image, Image-to-Image, and a final upscale pass for maximum quality.
Model Merging: A convenient block to blend different checkpoints on the fly.
Smart LoRA Stack: An infinite LoRA chain equipped with an automatic weight optimizer to prevent image frying.
Advanced ControlNet: Multi-layered control for posing, facial semantics, and scene depth to keep your generation precise.
FaceDetailer: An optional block to rescue and heavily detail faces on medium and long-range shots.
Required Custom Nodes & Direct Links:
To ensure your layout loads flawlessly without any red (missing) blocks, make sure to install these 5 essential node packs via the ComfyUI Manager or using the direct GitHub source links below:
[ComfyUI-KJNodes]
https://github.com/kijai/ComfyUI-KJNodes (by Kijai)
What it does: Provides critical utility and quality-of-life nodes.
Role in workflow: It handles the complex logic behind VAE/CLIP merging and layout scripting, enabling smooth communication between different model components.
[ComfyUI Impact Pack]
https://github.com/ltdrdata/ComfyUI-Impact-Pack (by Dr.Lt.Data)
What it does: The ultimate framework for detection, masking, and regional sampling.
Role in workflow: This is the foundation of the FaceDetailer system. It crops, masks, and runs a secondary high-precision sampling loop over facial regions to clean up anatomy on distant shots.
[ComfyUI Impact Subpack]
https://github.com/ltdrdata/ComfyUI-Impact-Subpack (by Dr.Lt.Data)
What it does: A specialized extension designed to compliment the core Impact Pack.
Role in workflow: It bridges ComfyUI with Ultralytics frameworks, allowing you to load advanced tracking models like YOLOv9 and SAM2 for pixel-perfect segmentation.
[ComfyUI ControlNet Auxiliary Preprocessors]
https://github.com/Fannovel16/comfyui_controlnet_aux (by Fannovel16)
What it does: The industry-standard collection of advanced computer vision preprocessors.
Role in workflow: Powering all 3 layers of your ControlNet pipeline. It acts as the backbone for Union Promax, extracts lines using AnyLineArt, handles face landmarks with AnimeFace, and calculates depths via Zoe.
[ComfyUI LoRA Optimizer]
https://github.com/ethanfel/ComfyUI-LoRA-Optimizer (by Ethanfel)
What it does: An advanced auto-optimizer node designed for blending multiple LoRA networks using difference-based merging.
Role in workflow: The central brain of your LoRA setup. It dynamically calculates and targets TIES conflict resolutions, allowing you to sequence a long chain of styles and characters simultaneously without frying your final canvas.
ControlNet Model I Use:
Here is the exact ControlNet model required for this workflow:
https://huggingface.co/brad-twinkl/controlnet-union-sdxl-1.0-promax
Most Importantly:
Guys, I didn't want to clutter this page with walls of boring technical text.
The complete setup guide, sampler hacks, prompting rules, and deep group breakdowns are all located directly inside the workflow in the text box (Notes)!
Thank You & Personal Advice:
Guys, thank you so much for downloading my workflow!
And here is my personal advice to all of you: please, write high-quality prompts. The more detailed and well-crafted your prompt is, the better the final output will be on almost any model.
Please, don't overlook this and don't get lazy. Sometimes I get lazy myself and write short, basic prompts. In those cases, the quality turns out to be average or medium-high, let's say.
But you can definitely do better! Just don't be lazy, put some effort into your text, and this workflow will deliver a true masterpiece. Download it, load it up, and start creating!
Description
Compatibility Notes:
This workflow is universally built to support all base SDXL architectures and Pony-based models. It works incredibly well for anime styles across these formats.
Crucial Warning for Anima Models:
If you switch to specific Anima checkpoints, please note that ControlNet might not work correctly out of the box.
Additionally, for certain Animа models, you must manually load and connect their specific external CLIP separately (use the bypassed Load CLIP node inside the Loader group) to ensure proper text encoding.
