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Video : https://youtu.be/4TJl7Iz2MCY

In this video, we dive deep into the newly released Qwen Image Layered model—an AI breakthrough that can intelligently decompose a single image into multiple editable layers, each with transparent backgrounds. You’ll see hands-on demos in ComfyUI, including how to separate characters, backgrounds, shadows, and objects like projectors or campfires into individual elements. We’ll walk through installing the model (BF16, FP8, and GGUF versions), setting up the custom layer mapper node, and using Qwen-VL for automatic prompt generation—so you don’t have to guess what to type.

This content is perfect for AI artists, content creators, fashion designers, digital editors, and ComfyUI workflow developers who want granular control over image composition without manual masking. Whether you’re swapping outfits on virtual models, creating dynamic thumbnails, or building advanced image-to-image pipelines, this layered decomposition approach gives you pixel-perfect isolation of visual elements—far beyond basic background removal tools.

Why does this matter? Because traditional AI image editing often treats visuals as flat, inseparable outputs. The Qwen Image Layered model changes that by enabling true multi-layer understanding, opening doors to non-destructive editing, re-animation, object replacement, and scene recomposition—all programmatically. As one of the first public implementations in ComfyUI, this workflow sets the stage for next-gen AI-powered creative control, especially for creators focused on fashion, lifestyle, or character-driven content.

Qwen-Image-Layered

https://github.com/QwenLM/Qwen-Image-Layered

Huggingface

https://huggingface.co/Qwen/Qwen-Image-Layered

Modelscope

https://modelscope.cn/models/Qwen/Qwen-Image-Layered

Paper

https://arxiv.org/abs/2512.15603

ComfyUI Repo for Qwen-Image-Layered

https://huggingface.co/Comfy-Org/Qwen-Image-Layered_ComfyUI/tree/main/split_files

Qwen-Image-Layered GGUF

https://huggingface.co/QuantStack/Qwen-Image-Layered-GGUF/tree/main

ComfyUI-QwenImageLayeredToLength

https://github.com/benjiyaya/ComfyUI-QwenImageLayeredToLength

Example Workflow:

https://github.com/benjiyaya/ComfyUI-QwenImageLayeredToLength/blob/main/Qwen-Image-Layered%20(Example)%20-1%20.json

Workflow With Qwen 3 VL :

Files

Qwen Image Layered Just Dropped In ComfyUI - Will This AI TKO Photoshop’s Magic Wand?

In this video, we dive deep into the newly released Qwen Image Layered model—an AI breakthrough that can intelligently decompose a single image into multiple editable layers, each with transparent backgrounds. You’ll see hands-on demos in ComfyUI, including how to separate characters, backgrounds, shadows, and objects like projectors or campfires into individual elements. We’ll walk through installing the model (BF16, FP8, and GGUF versions), setting up the custom layer mapper node, and using Qwen-VL for automatic prompt generation—so you don’t have to guess what to type. This content is perfect for AI artists, content creators, fashion designers, digital editors, and ComfyUI workflow developers who want granular control over image composition without manual masking. Whether you’re swapping outfits on virtual models, creating dynamic thumbnails, or building advanced image-to-image pipelines, this layered decomposition approach gives you pixel-perfect isolation of visual elements—far beyond basic background removal tools. Why does this matter? Because traditional AI image editing often treats visuals as flat, inseparable outputs. The Qwen Image Layered model changes that by enabling true multi-layer understanding, opening doors to non-destructive editing, re-animation, object replacement, and scene recomposition—all programmatically. As one of the first public implementations in ComfyUI, this workflow sets the stage for next-gen AI-powered creative control, especially for creators focused on fashion, lifestyle, or character-driven content. Qwen-Image-Layered https://github.com/QwenLM/Qwen-Image-Layered Huggingface https://huggingface.co/Qwen/Qwen-Image-Layered Modelscope https://modelscope.cn/models/Qwen/Qwen-Image-Layered Paper https://arxiv.org/abs/2512.15603 ComfyUI Repo for Qwen-Image-Layered https://huggingface.co/Comfy-Org/Qwen-Image-Layered_ComfyUI/tree/main/split_files Qwen-Image-Layered GGUF https://huggingface.co/QuantStack/Qwen-Image-Layered-GGUF/tree/main ComfyUI-QwenImageLayeredToLength https://github.com/benjiyaya/ComfyUI-QwenImageLayeredToLength Example Workflow: https://github.com/benjiyaya/ComfyUI-QwenImageLayeredToLength/blob/main/Qwen-Image-Layered%20(Example)%20-1%20.json -------------------------------------------------------------------------------------------------------------------------------- Local Workstation GPU : https://amzn.to/3XfXsAO -------------------------------------------------------------------------------------------------------------------------------- If You Like tutorial like this, You Can Support Our Work In Patreon: https://www.patreon.com/c/aifuturetech #qwenimage #qwen