CIVITAI / Workflows

Z-Image ControlNet 2.1-2601 Local Inpainting Workflow

Z-Image ControlNet 2.1-2601 Local Inpainting Workflow is a ComfyUI workflow designed for precise local repainting, masked image editing, and structure-controlled visual correction. Instead of regenerating the entire image, this workflow focuses on editing only the selected mask area while keeping the original composition, pose, lighting, background, and main visual identity as stable as possible. This workflow is built around Z-Image Turbo, using the Qwen 3 4B text encoder, the Z-Image VAE, and the Z-Image Turbo Fun ControlNet Union 2.1-2601 model patch. The main goal is to give creators a more controllable way to repair or redesign specific parts of an image. You can use it to replace clothing, fix a face, repair hands, change an object, repaint a product area, modify a character, add new elements, or correct a broken AI-generated detail without destroying the rest of the picture. The workflow starts from an input image and a mask. The ImageLoader provides both the original image and the masked area, then the image is encoded into latent space through the VAE. The masked region is passed into the latent repainting stage, so the new generation is mainly applied to the area you selected. This makes the workflow suitable for real production correction, because you do not need to recreate the full image every time a small region fails. A key part of this workflow is the high-noise and low-noise prompt structure. The high-noise prompt controls the main semantic change. This is where you describe what the masked area should become: a new outfit, a new object, a different face detail, a new weapon, a corrected hand, a changed product, or a repaired background element. The low-noise prompt is used for refinement. It helps the generated area blend back into the original image by improving color consistency, lighting, texture, and edge transition. This two-stage prompt structure is useful because local repainting needs both creativity and stability. If the prompt is too strong, the edited area may break away from the original picture. If the prompt is too weak, the change may not be obvious enough. By separating the main concept from the final refinement, this workflow gives users more control over how much the masked region changes and how naturally it merges with the source image. The ControlNet module is another important part of this workflow. It uses the Z-