Z Image Inpainting LoRA: High-Fidelity Image-to-Image Editing & Inpainting on playground and API | RunComfy

Z Image Inpainting LoRA is a fine-tuned LoRA module built on top of the Z-Image Turbo architecture, designed to restore or modify portions of images through advanced diffusion techniques. It works as part of an image-to-image workflow, allowing users to mask and regenerate image segments with natural, seamless blending.

Z Image Inpainting LoRA is ideal for designers, marketers, and AI artists who need efficient image restoration or content-aware editing. When used within an image-to-image process, it efficiently handles object removal, background swaps, and small inpainting corrections with high fidelity and bilingual text support.

Z Image Inpainting LoRA can be accessed through the Runcomfy AI playground using a credit-based system. New users receive trial credits, but continuous use of features such as image-to-image generation and inpainting may require purchasing additional credits depending on usage volume.

Z Image Inpainting LoRA leverages a single-stream diffusion transformer from Z-Image Turbo, which ensures faster and more coherent visual corrections. It achieves smoother identity preservation during image-to-image transformations and stands out for its speed and bilingual text handling compared to many older U-Net-based models.

Z Image Inpainting LoRA supports high-quality mask-based editing, can integrate up to three LoRA style modules, and operates efficiently with less than 16 GB VRAM. Its image-to-image pipeline allows fine-tuned control over color and texture consistency while keeping rendering time low.

While Z Image Inpainting LoRA produces fast and visually consistent results, it may not handle extremely detailed edits or large-scale inpainting tasks perfectly. Users working with sensitive facial or texture reconstruction projects may observe slight artifacting in intensive image-to-image transformations.

Z Image Inpainting LoRA typically outputs photorealistic results with coherent lighting and accurate object boundaries. When paired with the image-to-image process, it ensures textures and tones blend naturally into surrounding regions, maintaining both realism and prompt-driven stylistic alignment.

You can use Z Image Inpainting LoRA directly through the Runcomfy website, accessible via both desktop and mobile browsers. Once logged in, simply load your base image for an image-to-image edit, apply masks for inpainting, and adjust LoRA style parameters within the playground interface.