⚡ Illustrious Workflow as of version 18
🛠️ Purpose & Design Philosophy
This workflow is a high-fidelity environment built for Illustrious XL. 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 SDXL 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.
All-in-One Logic: The workflow handles generation, detailing, and upscaling in one continuous pass.
🚀 Key Features & 2026 Logic
Global Model Patching (RescaleCFG): Includes a pre-configured RescaleCFG patch (Multiplier: 0.7) applied globally. This acts as "HDR Insurance," preventing the "deep-fried" or over-saturated look common in high-CFG Illustrious runs.
Detail Daemon Sampler: Integrated to enhance structural depth. In this version, it is tuned to start at 0.4 to preserve the core Illustrious character proportions while sharpening hair and eye details.
Hybrid Upscale Strategy: * Group Bypass Switch: Easily toggle between a Pixel-only (Lanczos) path for flat anime styles and an Upscale-Model path for 2.5D/highly detailed renders.
Ultimate SD Upscale: Re-draws the upscaled canvas at a 0.35 denoise to lock in fine textures.
Power LoRA Loader: Manage multiple Illustrious-specific LoRAs without messy wiring.
Triple Detailer Groups: 3-stage targeted refinement for faces, hands, and clothing using standard detection models.
CivitAI Meta-Sync: Images are saved with full metadata (Model, LoRAs, Sampler info) for automatic site parsing.
⚠️ Disclaimer & Compatibility
Install at Your Own Risk: Custom nodes can break your environment. I am not responsible for troubleshooting your specific installation.
ComfyUI Portable: Built and tested on the Portable 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
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
re-uploaded to fixed version on 12 Nov 1855PM UTC. Looks like 9 downloads happened prior.
V14 is a stripped down version of v13 with some adjustments. This is based on what I am currently using and have no plans to add what I removed from the workflow.
The following were removed:
ControlNet
Image to Image
Dynamic Thresholding
Detail Daemon
A side effect of no longer using DT and DD is that some sampler+scheduler combos that did not work well previously are now usable (for me at least).
This version uses the standard Comfy Core KSampler for the initial image.
Removal of the items above simplifies the workflow for folks who are newer to comfyUI.
The only setting out of the norm (IMO) will be the Epsilon Scaling nodes. I left a big note on how it works and the recommended settings for it.
This version is compatible with RES4LYF in a limited capacity
You can use the samplers/schedulers available on the nodes in the workflow that have the samplers/scheduler from RES4LYF without issues. None of the custom nodes from RES4LYF are used in this workflow.
Samplers/schedulers will have to be set manually if you want to use the schedulers from RES4LYF. The Impact Pack nodes are not compatible with RES4LYF schedulers (AFAIK) so you will have to pick from what is available.
RES4LYF schedulers are not selectable via the Global Sampler node other than bong_tangent.
FaceDetailer nodes have all been replaced with Detailer (SEGS) nodes.