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    ⚡ 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

    Update: I mislabeled the Tile Width and Tile Height nodes in the Pre-USDU groups. Those should be "Width" and "Height". Those nodes connect into the Upscale Image node in the same group and adjust the size of the image based on what you put in the "Upscale from original size" node. I'll fix this on the next update.

    Moved the Global Seed node closer to the 1st KSampler (SamplerCustomAdvanced) node.

    Added a few more notes throughout the workflow to hopefully help anyone who is not familiar with how some nodes work.

    Tweaked some of the settings on the various Image Filter Adjustments nodes and left the majority of them expanded in case people want to adjust them.

    Added single ControlNet groups for both USDU groups.

    • These utilize the ControlNet Union model which can be downloaded via the Manager.

    Removed the nodes that added text for the before & after results in the Image Comparer nodes.

    • These were behaving in a way that would cause the random image results to not populate in the Comparer nodes until the workflow was fully finished.

    • Kind of a shame, was a nice QoL thing for me.

    Initial example images were generated using:

    Sampler: Euler Ancestral

    Scheduler: Beta

    Steps: 28

    CFG: 6

    Upscaled via 2 USDU Groups

    Upscale Model: RealESRGAN_x4Plus Anime 6B (link to OpenModelDB)

    Steps: 10

    Denoise: 0.2

    Detailers for Face and Eyes

    3 cycles each

    Face Detection Model: Anzhc Face seg 1024 v2 y8n.pt (link to huggingface page)

    Eye Detection Model: Eyeful | Robust eye detection for Adetailer / ComfyUI - v2 Individual version. (civitai page link)

    These will be the settings on the saved workflow file.

    Workflows
    Illustrious

    Details

    Downloads
    214
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/5/2025
    Updated
    3/16/2026
    Deleted
    -

    Files

    notSoSimpleOrIsIt_v11a.zip

    Mirrors

    CivitAI (1 mirrors)