【SDXL】IMG to IMG

✨ SDXL — Image to Image — Simple Workflow A clean, all-in-one SDXL image-to-image workflow built entirely with the UmeAiRT Toolkit for ComfyUI. Only 8 nodes . No spaghetti wires. Just load your model, write your prompt, and hit generate. You can find a step-by-step guide to this workflow in this article: link ⚠️ IMPORTANT — Nodes 2.0 Required This workflow is built for the Nodes 2.0 (Vue) interface of ComfyUI. If you don't enable it, the workflow may have display problems. How to activate Nodes 2.0: Open ComfyUI Go to Settings (⚙️ icon, bottom-left) Find "Use Nodes V2 (Vue)" and toggle it ON Refresh the page Load the workflow If you prefer the classic interface, check out my Legacy version of this workflow instead ( link ). 🎯 Features Text-to-Image generation with any SDXL/ILLUSTRIOUS checkpoint Built-in upscaler — high-quality tiled upscaling (toggleable on/off) Slower than a classic upscaler, but significantly better quality Subject Detailer — automatic face or body enhancement (toggleable on/off) Full metadata embedding — your images are saved with all generation parameters, ready for online publishing and remixing 3 LoRA slots — with individual on/off toggles and strength control and you can connect as many other lora modules to each other for as many LoRA as you want. 📦 Custom Node Required Only one custom node to install: 👉 ComfyUI-UmeAiRT-Toolkit Install via ComfyUI Manager (search "UmeAiRT") or use the UmeAiRT Auto-Installer . The Toolkit packages everything internally — upscaler, face detailer, metadata saver. No other custom nodes needed. 📂 Files you need An SDXL model : like this one in ComfyUI/models/checkpoints/ An upscale model (optional) : like this one in ComfyUI/models/upscale_models/ As many LoRAs as you like (optional) : like this one in ComfyUI/models/loras/ For the Subject Detailer (optional, download automatically by my toolkit) : A BBOX detector model : like this one in ComfyUI/models/ultralytics/bbox/ A SAM model : like this one in ComfyUI/models/sams/ A SEGM detector model : like this one in ComfyUI/models/ultralytics/segm/