CIVITAI / Workflows

Z-Image - Three Upscaling Methods

Z-Image Three-Way Upscale Workflow is a ComfyUI image enhancement pipeline designed for high-resolution restoration, detail refinement, and controlled upscaling. This workflow provides three different upscale routes in one graph, so users can compare speed, texture quality, structure preservation, and final sharpness depending on the image type. The first route uses Z-Image Turbo with Z-Image Fun ControlNet Tile and UltimateSDUpscale. It is suitable for anime, illustration, realistic portraits, product images, and AI-generated artwork that needs stronger detail reconstruction. The Tile ControlNet helps preserve the original composition while allowing Z-Image to redraw micro-details, skin texture, hair, fabric, background objects, and edges with better clarity. The default denoise is low, so the image will not drift too far from the original. The second route combines a traditional 4x upscale model with Z-Image latent refinement. It first enlarges the image using 4x_NMKD-Siax, then scales the result to a high megapixel target, splits it into tiles, generates captions with Florence2, and sends the tiles back into Z-Image for controlled polishing. This path is useful when you want a balanced result: sharper than pure ESRGAN-style upscaling, but more stable than heavy redraw. The third route uses SeedVR2 as an AI restoration/upscale pass. Although SeedVR2 is often used for video enhancement, this workflow applies it to tiled image restoration. It is especially useful for soft images, compressed outputs, screenshots, old renders, and images that need cleaner reconstruction without excessive prompt influence. The workflow tiles the image, processes each section, and reassembles it with padding to reduce seams. Main features: - Three upscale methods in one workflow - Z-Image Turbo detail refinement - Z-Image Fun ControlNet Tile support - UltimateSDUpscale route for high-quality redraw - Florence2 automatic caption generation - 4x_NMKD-Siax classic upscale model route - SeedVR2 restoration/upscale route - Tiled processing for large images - Image comparison nodes for before/after checking - Low denoise settings for better identity and composition preservation Recommended use cases: Portrait enhancement, anime upscaling, AI artwork polishing, product image cleanup, social media cover restoration, high-resolution poster output, detail recovery, and com