🛠️ Purpose & Design Philosophy
This workflow is a high-fidelity environment built for Illustrious. It prioritizes stability and professional texture over generation speed. It follows an "all-in-one" philosophy: configure your prompts, hit queue, and let the workflow handle the multi-stage refinement from start to finish.
Not for Speed: This is a heavy-duty refinement tool. If you want 2-second previews, use a basic workflow.
Personal Use: Built for my specific production needs. It is shared as-is for those who want a "set-and-forget" pipeline for Illustrious. Adjust the settings and models to fit your needs. The defaults on v19+ will be what I used for the sample images.
All-in-One Logic: The workflow handles generation, detailing, and upscaling in one continuous pass.
If you're needing something with more features: Try checking out Silly All-in-one, Multiple Characters With Regional Loras which is on civitai.
⚠️ Disclaimer & Compatibility
Install at Your Own Risk: Custom nodes can break your environment. I am not responsible for troubleshooting your specific installation.
ComfyUI: Built and tested on the non-app version. Desktop app users may face additional hurdles.
The "Your Version" Factor: Your node versions and environment are 99.9% likely to differ from mine.
Nodes 2.0: I do not recommend using Nodes 2.0. It creates unpredictable UI behavior; I will not provide support for issues involving this feature.
🤝 Support & Boundaries
I have not and never will monetize my workflow. CivitAI is the only platform I am maintaining this workflow on. If you find a version of my workflow posted and/or monetized anywhere and use it, then whoever posted it is responsible for providing you any support. This is the main reason why I don't monetize this: I don't want to be or feel obligated to provide support.
No DMs: DMs are disabled due to repeat spam. Please check the Discussions tab below; most questions have already been answered.
Modifications: You are free to hack this workflow apart. However, you are responsible for fixing it if it breaks.
Custom Requests: I do not make private workflows. If you need a custom solution, post a Bounty on CivitAI. There are many talented creators ready to help you for a fee.
Description
Version 18.0: The "Streamline" Update
This version marks a major architectural shift. Taking lessons from my separate Anima project, I have gutted the "bloat" to focus on a cleaner, faster, and more stable core experience.
Key Changes:
Model Patch Overhaul: Removed Epsilon Scaling and SMC-CFG. These have been replaced by a single RescaleCFG node. Combined with the existing CFGZeroStar, this provides superior "Anti-Burn" protection and prompt adherence with much less complexity.
Wildcard Removal: Removed the ImpactWildcardProcessor. As part of the effort to simplify the prompt path and reduce node dependencies, the workflow now utilizes standard CLIP encoding for more direct control.
Refined Upscale Logic: Removed Whiterabbit nodes. The pre-USDU upscale group now utilizes ComfyUI Core nodes. This offers a cleaner path with a simple toggle to choose between an Upscale Model or Pixel-only (Lanczos/Bilinear) upscaling.
USDU Optimization: Removed the Noise Injection group from the Ultimate SD Upscale process. Testing showed the benefits did not justify the extra complexity and clutter.
Workflow Cleanup: Removed Image-to-Image and ControlNet modules. To keep the workflow focused and readable, I’ve stripped these out for now. They may return in a future "Expansion" module, but the current goal is a lean, mean generation machine.
Watermark Handling: Removed the Watermark Detection & Removal group. Improved negative prompting (using "username") has proven effective enough to handle this natively without extra nodes.
Scheduler Simplified: Removed the Laplace Scheduler. While interesting, the extra wiring required to make it toggleable and compatible with metadata saving was causing unnecessary workflow "noise."
Generation time on a 5060ti 16GB: 2 LoRAs loaded. 140 seconds from start to finish. Image Gen>Upscale>USDU>2 Detailers.