<h1 id="illustrious-workflow-as-of-version-18g">⚡ Illustrious Workflow as of version 18g</h1><h2 id="purpose-and-design-philosophy">🛠️ Purpose &amp; Design Philosophy</h2>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.<ul><li>Not for Speed: This is a heavy-duty refinement tool. If you want 2-second previews, use a basic SDXL workflow.</li><li>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.</li><li>All-in-One Logic: The workflow handles generation, detailing, and upscaling in one continuous pass.</li><li>If you're needing all the bells and whistles: Try checking out <a target="_blank" rel="ugc" href="https://civarchive.com/models/1386234/comfyui-image-workflows?modelVersionId=2811282">ComfyUI Image Workflows</a> by Legendaer here on CivitAI.</li></ul><hr /><h2 id="key-features-and-2026-logic">🚀 Key Features &amp; 2026 Logic</h2><ul><li>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.</li><li>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.</li><li>Hybrid Upscale Strategy: * Group Bypass Switch: Easily toggle between a RTX VSR path for flat anime styles and an Upscale-Model path for 2.5D/highly detailed renders.<ul><li>Ultimate SD Upscale: Re-draws the upscaled canvas at a 0.2 to 0.35 denoise to lock in fine textures.</li></ul></li><li>Power LoRA Loader: Manage multiple Illustrious-specific LoRAs without messy wiring.</li><li>Triple Detailer Groups: 3-stage targeted refinement for faces, hands, and clothing using standard detection models.</li><li>CivitAI Meta-Sync: Images are saved with full metadata (Model, LoRAs, Sampler info) for automatic site parsing.</li></ul><hr /><h2 id="disclaimer-and-compatibility">⚠️ Disclaimer &amp; Compatibility</h2><ul><li>Install at Your Own Risk: Custom nodes can break your environment. I am not responsible for troubleshooting your specific installation.</li><li>ComfyUI Portable: Built and tested on the Portable version. Desktop app users may face additional hurdles.</li><li>The "Your Version" Factor: Your node versions and environment are 99.9% likely to differ from mine.</li><li>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.</li></ul><hr /><h2 id="support-and-boundaries">🤝 Support &amp; Boundaries</h2><ul><li>No DMs: DMs are disabled due to repeat spam. Please check the Discussions tab below; most questions have already been answered.</li><li>Modifications: You are free to hack this workflow apart. However, you are responsible for fixing it if it breaks.</li><li>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.</li></ul><h2 id="other-related-info">🛠️ Other Related Info</h2>ComfyUI version: v0.19.3ComfyUI frontend: v.1.43.1Custom node links for manual install:<a target="_blank" rel="ugc" href="https://github.com/ltdrdata/ComfyUI-Impact-Pack">ComfyUI Impact Pack</a><a target="_blank" rel="ugc" href="https://github.com/pythongosssss/ComfyUI-Custom-Scripts">ComfyUI-Custom-Scripts</a><a target="_blank" rel="ugc" href="https://github.com/rgthree/rgthree-comfy">rgthree-comfy</a><a target="_blank" rel="ugc" href="https://github.com/kijai/ComfyUI-KJNodes">ComfyUI-KJNodes</a><a target="_blank" rel="ugc" href="https://github.com/ssitu/ComfyUI_UltimateSDUpscale">ComfyUI_UltimateSDUpscale</a><a target="_blank" rel="ugc" href="https://github.com/ClownsharkBatwing/RES4LYF">RES4LYF</a><a target="_blank" rel="ugc" href="https://github.com/Jonseed/ComfyUI-Detail-Daemon">ComfyUI-Detail-Daemon</a><a target="_blank" rel="ugc" href="https://github.com/ltdrdata/ComfyUI-Inspire-Pack">ComfyUI Inspire Pack</a><a target="_blank" rel="ugc" href="https://github.com/ltdrdata/ComfyUI-Impact-Subpack">ComfyUI Impact Subpack</a><a target="_blank" rel="ugc" href="https://github.com/alexopus/ComfyUI-Image-Saver">ComfyUI Image Saver</a><a target="_blank" rel="ugc" href="https://github.com/JPS-GER/ComfyUI_JPS-Nodes">JPS Custom Nodes for ComfyUI</a><a target="_blank" rel="ugc" href="https://github.com/Goshe-nite/comfyui-gps-supplements">GPS' Supplements for ComfyUI</a><a target="_blank" rel="ugc" href="https://github.com/regiellis/ComfyUI-EasyColorCorrector">Easy Color Corrector</a><a target="_blank" rel="ugc" href="https://github.com/evanspearman/ComfyMath">ComfyMath</a>

Not so simple (or is it?) Illustrious Workflow

Update Notes: v18gThis update focuses on expanding the high-resolution pipeline for those who want to push their outputs to the absolute limit. We are re-introducing a refined multi-stage upscaling logic that I’ve been testing to solve the "muddiness" often found in massive upscales.New Feature: Secondary USDU Refinement PipelineIn v18g, I have added an optional secondary set of groups designed to "double-down" on detail and texture. This is a complex chain that includes:<ul><li>Image Downscaling: To reset the pixel grid.</li><li>Pre-USDU2 Upscale: To prepare the canvas.</li><li>CFG Zero Star USDU2 &amp; Ultimate SD Upscale 2: For the final detail injection.</li></ul>⚠️ The "Double-Edged Sword" WarningThis new pipeline is powerful but can be temperamental. While it excels at creating incredible skin textures and cinematic lighting, it can struggle with high-frequency micro-patterns.<ul><li>Best For: Portraits, skin-heavy shots, and dramatic low-key lighting.</li><li>Avoid For: Fine lace, intricate embroidery, or extremely dense mechanical greebles.</li></ul>Note: If your image starts looking "over-processed" or you lose the crispness of fine threads, simply Bypass the 2nd USDU groups.Recommended Settings (TL;DR)To get the best out of the dual-pass system, the goal is "High Precision, Low Impact" on the second pass:<ul><li>Pass 1: Use your standard settings to build the structure.</li><li>Pass 2: Increase the Step Count but Lower the Denoise (suggested range: 0.20–0.35 depending on your sampler/scheduler combo).</li><li>The Logic: This allows the sampler more time to refine the image without having enough "permission" to radically change or blur your existing details.</li></ul>Other Changes<ul><li>Legacy Support: The simple Image-to-Image option introduced in v18f remains fully integrated.</li><li>Workflow Optimization: General cleanup to accommodate the new node groups without sacrificing the overall speed of the Illustrious base.</li></ul>

Files with SHA256: c6c89e6cc9c69f33d70ccdf4bb2372d8e8fc43f8da1659a29ef0c393b8b22728