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Ultimate ComfyUI SDXL/PDXL/Illustrious Workflow

7

169

6

Type

Workflows

Stats

89

0

Reviews

Published

Sep 5, 2025

Base Model

SDXL 1.0

Hash

AutoV2
A84FB38FE3

Ultimate ComfyUI SDXL/PDXL/Illustrious Workflow

My ComfyUI SDXL/PDXL/Illustrious workflow features three upscale/refine stages, OpenPose ControlNet, numerous detailers, and a neatly organized structure. Most options are easily configurable via the dashboard, using dropdowns or boolean toggles.

Notes:

  • You will need to download the various bbox models to successfully run the detailers. You can find these models on huggingface/civitai. You can find the SAM model in the ComfyUI model manager.

  • You can disable detailers by bypassing the detailer node. You can also disable the entire group and the model loader. However, you must leave the get_DETAILER_*_IMAGE nodes enabled.

Features:

- Dual Model Setup: Enables a stylized model for initial generation and a secondary model for refinement/upscale stages. I typically use a PDXL/Illustrious model as the secondary one, as it excels at handling human anatomy, hands, and faces.

- Three-Stage Sample/Upscale Design: Provides full control over upscaling and sampling, unlike consolidated HiRes Fix nodes. The incremental approach reduces artifacts and distortions while preserving details from the original generation.

- Control Panel: Centralizes easy configuration of models, settings, and more—all in one place.

- Consolidated Prompts: Dedicated locations for all prompts and detailer prompts.

- Prompt Bypass Options: Bypass stage 2/3 prompts with a single click to use one positive/negative prompt across all stages. Selectively bypass positive, negative, or both.

- Full Scaling Control: Adjust scaling factors for each stage independently.

- Pony Toggles: Automatically add Pony scores to prompts if desired, keeping prompts clean and organized. This can be edited, and the text replaced, for embeddings instead.

- Image Loader and Switch: Supports img2img or txt2img modes, with optional inversion and tinting.

- LoRA Stacks: Separate stacks for stage 1, stages 2/3, and detailers, offering maximum control over LoRA application.

- Automatic Image Dimensions: Handles width and height automatically (conditioning and scaling).

- Eight Detailers: Includes hands, breasts, penis, butt, vagina, face, eyes/mouth, and jewelry.

- Precise Masking: All detailers use bounding box (bbox) and Segment Anything Model (SAM) for accurate masks.

- Hand Detailer: Utilizes OpenPose ControlNets to guide refinements for hands and fingers.

- Face Detailer: Employs MediaPipe FaceMesh for ultimate control, detecting face, eyes, pupils, mouth, etc., individually or together.

Dependencies (Custom Nodes):

  • Comfyroll Studio

  • Custom Scripts

  • Dream Project

  • Impact Pack

  • Inspire Pack

  • KJNodes

  • Tiled Diffusion

  • Easy Use