SDXL workflow I’ve been using for years on my Nitro laptop.

A digital artist has detailed their multi-year journey to mastering Stable Diffusion, culminating in a sophisticated, custom-built workflow using ComfyUI on a Nitro laptop. Starting from basic Google Colab generations and overcoming the steep learning curve of node-based systems, the creator now employs the NTRmix Illustrious SDXL model within a highly tailored pipeline. Key components include a LOADER group with resolution presets and A1111-style settings, a TEXT TO IMAGE group for batch generation and cherry-picking, and a CONTROLNET setup primarily using Depth for precise silhouette and pose control. The workflow is designed for efficiency and control, featuring a manual image diverter to bypass unnecessary upscaling steps and a bell node that audibly signals when a generation is complete.

The process represents a mature, hybrid approach to AI image generation. The artist generates a base illustration with their SDXL workflow, then uses fundamental art knowledge to select the best output from an initial KSampler batch. This selected image is fed into a HiRes upscaling group (I2I NON LATENT UPSCALE) for refinement. Crucially, the final step involves using Photoshop for detailed manual touch-ups, acknowledging that AI alone cannot meet all human aesthetic preferences. The reliance on custom nodes from packs like EasyUse, ImpactPack, and ArtVenture highlights the community-driven, modular nature of advanced ComfyUI usage, moving far beyond simple text-to-image prompts to a controlled, iterative, and professional production pipeline.