CIVITAI / Workflows

Redraw Paste-Back Qwen 2511 Local Inpainting Workflow

已按最新格式处理：不写 Title: ，不写 Description: ，英文标题放在整段文案最后。 Bilibili 链接已清理为公开播放链接： https://www.bilibili.com/video/BV1SK68BwE33/ 。RunningHub 已统一为 .ai 域名。 解析依据：你上传的工作流包含 Qwen Image Edit 2511、Lightning 4steps LoRA、Qwen 2.5 VL 文本编码器、Qwen Image VAE、Mask 局部区域、QwenEditConfigPreparer、TextEncodeQwenImageEditPlusCustom、QwenEditOutputExtractor、CropWithPadInfo、RestoreCropBox、Image Comparer、ImageReel 等关键节点，核心是“局部重绘 → 裁剪编辑 → 贴回原图 → 对比输出”。 This ComfyUI workflow is designed for Qwen Image Edit 2511 local inpainting, masked region editing, and redraw-and-paste-back image correction. The main purpose of this workflow is to let creators modify only a selected part of an image while preserving the original full-frame composition, camera angle, background, subject identity, and non-edited areas as much as possible. Unlike a full-frame image editing workflow, this workflow focuses on local precision. It does not ask the model to reinterpret the entire image unnecessarily. Instead, it extracts or prepares the target area, sends the selected region into Qwen Image Edit 2511 for controlled repainting, then restores the edited result back into the original image position. This makes it useful for fixing specific problems inside an image without destroying the rest of the picture. The workflow is built around Qwen Image Edit 2511. It uses qwen_image_edit_2511_bf16.safetensors as the main editing model, Qwen-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors for faster generation, qwen_2.5_vl_7b_fp8_scaled.safetensors as the vision-language text encoder, and qwen_image_vae.safetensors as the VAE. This gives the workflow strong image understanding, instruction-following ability, and practical local editing speed. The core workflow logic is “redraw first, then paste back.” In normal image editing, the model may change too much of the original image. Faces may drift, backgrounds may shift, lighting may change, or the whole image may become a new generation. This workflow is designed to reduce that problem by limiting the edit to a selected region. The model can focus on the masked area, while the final RestoreCropBox stage places the corrected result back into the original canvas. This is especially useful when the original image is already good, but one part needs repair or replacement. For example, the workflow can be used to fix a hand, repair a face, change a clothing area, replace an object, a