This workflow is designed for Qwen Image Edit 2511 seamless head replacement with redraw-and-paste-back control. Compared with a simple head-swap workflow, this version adds a more complete local editing structure: the target region is prepared, redrawn with Qwen Image Edit 2511, then pasted back into the original image area with stronger composition preservation. The goal is to replace the head identity naturally while keeping the original body, clothing, background, lighting, camera angle, and image layout stable.
The workflow uses Qwen Image Edit 2511 as the main editing route, with qwen_image_vae, qwen_2.5_vl_7b_fp8_scaled, and Qwen 2511-related model / LoRA components. It is structured for controlled image editing rather than full-image regeneration. This is important because head replacement can easily break the original body proportion, neck connection, shoulder alignment, light direction, skin tone, and facial scale. This workflow is designed to reduce those problems through masking, reference preparation, and paste-back reconstruction.
The key idea is “redraw first, then restore.” The workflow prepares the main image and reference image, uses background / subject extraction and mask processing to isolate the editable region, then expands and softens the mask with MaskGrow-style controls. After that, Qwen Edit configuration nodes prepare the image references, visual-language inputs, VAE images, masks, and prompt structure. The edited result is decoded, cropped with pad information, scaled back when needed, and restored into the original image through a paste-back / restore-crop-box route.
This gives the workflow a more practical production behavior. Instead of allowing the model to reinterpret the entire image, the edit is concentrated on the face / head area. The original image remains the structural anchor, while the reference image provides the replacement identity. This makes the final result more suitable for portrait correction, character testing, fashion model previews, authorized identity replacement, cosplay transformation, AI influencer image editing, and Civitai / RunningHub showcase examples.
The workflow also includes preview and comparison tools, such as mask preview, image comparer, image reel display, and before-after outputs. These are useful for checking whether the mask is correct, whether the reference identity is preserved, and whether the paste-back result blends naturally with the original image. For head replacement, this inspection step is important because the smallest mismatch in jawline, neck shadow, skin texture, or light direction can make the result look artificial.
In short, this is a Qwen 2511 head-swap master workflow with a stronger redraw-and-paste-back pipeline. It is built for users who need more control than a basic face swap and want cleaner integration with the original image. If you want to see how the mask, reference image, Qwen Edit nodes, redraw stage, and paste-back reconstruction connect together, watch the full tutorial from the YouTube link above.
⚙️ Try the Workflow Online
👉 Workflow: https://www.runninghub.ai/post/2027381547103424514?inviteCode=rh-v1111
Open the link above to run the workflow directly online and view the generation results in real time.
If the results meet your expectations, you can also deploy it locally for further customization.
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📺 Bilibili Updates (Mainland China & Asia-Pacific)
If you are in Mainland China or the Asia-Pacific region, you can watch the video below for workflow demos and a detailed creative breakdown.
📺 Bilibili Video: https://www.bilibili.com/video/BV1DpADznEo2/
I will continue updating model resources on Quark Drive:
👉 https://pan.quark.cn/s/20c6f6f8d87b
These resources are mainly prepared for local users, making creation and learning more convenient.
⚙️ 在线体验工作流
👉 工作流: https://www.runninghub.ai/post/2027381547103424514?inviteCode=rh-v1111
打开上方链接即可直接运行该工作流,实时查看生成效果。
如果觉得效果理想,你也可以在本地进行自定义部署。
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📺 Bilibili 更新(中国大陆及南亚太地区)
如果你在中国大陆或南亚太地区,可以通过下方视频查看该工作流的实测效果与构思讲解。
📺 B站视频: https://www.bilibili.com/video/BV1DpADznEo2/
我会在 夸克网盘 持续更新模型资源:
👉 https://pan.quark.cn/s/20c6f6f8d87b
这些资源主要面向本地用户,方便进行创作与学习。
