Qwen Image Layered
Turn flat renders into editable layers with qwen-image-layered. Drop any image and export semantic RGBA stacks ready for production.
What Qwen Image Layered Does for Every Creator
What is qwen-image-layered?
The RGBA-native diffusion model that makes PSD-style editing immediate.
qwen-image-layered translates any RGB reference into a semantically organized stack. Each output keeps RGB and alpha aligned so you can edit subjects, props, or backgrounds without destroying the rest of the shot.
Semantic Decomposition
Intelligently separates subjects, props, and backgrounds into distinct layers.
Inherent Editability
Modify one layer without affecting the pixels of another.
Occlusion Completion
AI 'hallucinates' hidden details behind foreground objects.
RGBA-VAE Backbone
Lossless transparency handling for crisp edges.
Automation Ready
Direct ComfyUI integration for batch processing.
Variable Layer Counts
Generate 2 to 6+ layers depending on scene complexity.
Inside the Qwen Image Layered Pipeline
From flat pixels to structured layers in five intelligent steps.
Upload
Feed an RGB frame to qwen-image-layered.
Encode
Maps RGB and transparent layers to latent space (RGBA-VAE).
Diffuse
VLD-MMDiT core predicts multiple layers simultaneously.
Complete
Hallucinates hidden backgrounds for full occlusion.
Export
Download RGBA PNGs and recompose anywhere.
TECH STACK: qwen-image-layered leverages RGBA-VAE for latent mapping, VLD-MMDiT for diffusion, and Occlusion-Aware Loss to ensure every layer is production-ready.
Qwen Image Layered Capabilities
Engineered for the next generation of content pipelines.
Semantic RGBA Decomposition
Splits complex scenes into crisp RGBA layers that reconstruct perfectly. Unlike basic segmentation, qwen-image-layered understands the structure of the image.
Layer-native Editing
Alter a single layer without cross-contamination.
Occlusion Completion
Reveal walls, props, or skies that were never visible.
Variable Layers
Pick 2, 4, 6, or more outputs per inference.
Automation Friendly
Insert qwen-image-layered into ComfyUI graphs. It sits mid-pipeline so graphs can branch per layer.
PSD Compatibility
Each output is a drag-and-drop PNG.
Future-Proof
Sets the stage for animation and video-layer experiments.
Why Qwen Image Layered Wins the Metrics That Matter
Optimized for editability, not just mask accuracy. The only tool that outputs real, occluded pixels.
| Feature | Qwen Layered | Segmentation | Mask + Inpaint | Vanilla Diff. |
|---|---|---|---|---|
| Pixel-Perfect Recomposition | Yes | Mix | No | No |
| Occlusion Filling (AI) | High | None | High | N/A |
| Layer Editability | Native | Limited | Low | None |
| Automation Ready | Instant | Fast | Slow | Fast |
| PSD Export | Ready | Partial | Manual | No |
Real Pixels
We output RGBA, so teams skip manual alpha passes.
Scalable Compute
Compute scales with layer count but beats multi-tool pipelines.
Editability First
Optimized for downstream editing, not just viewing.
Real Workflows Powered by Qwen Image Layered
From game dev to marketing automation, see where layers matter.
Asset & Sprite Production
Drag qwen-image-layered exports directly into game engines, UI kits, or Unity/Unreal.
Localized Background Swaps
Use qwen-image-layered to replace regions without touching foregrounds. Perfect for e-commerce locales.
Manga / Comics / Animation
Mirrors the Photoshop/Krita paradigm artists already use. Separate characters from backgrounds instantly.
Automation Pipelines
Sits mid-pipeline in ComfyUI so graphs can branch per layer for specialized processing.
Watch Qwen Image Layered in Action
See how the community is using qwen-image-layered.
The World Talks About Qwen Image Layered
Join the conversation on X (Twitter).
Creators on Qwen Image Layered
Reddit threads are buzzing about layer-native workflows.
“Finally, I was just waiting for someone to explore this technique. This is the most logical solution to fine editing tasks.”
“This is HUGE if true.”
“This could have implications far beyond simple image generation.”
“Implemented right it could be a great help with one of the biggest pains in the ass involved in photoshop work, which is masking, selecting and separating.”
“It's pulling apart layers and filling in the missing bits at the same time. That's cool!”
“What this does is sort of encapsulate those operations into the model, which is pretty dope.”
“Automatic Semantic Decomposition!”
“Desperately want this, it's everything I was hoping.”
“If this can become a plugin that eats an image and spits out a series of png's then fuck man this is one hell of an amazing tool.”
“This fits the Krita / Photoshop layer paradigm perfectly.”
“Breaking apart images is way, way useful.”
“It's well known that masking is one of the biggest pain points in photo editing. This could finally solve that.”
Decompose. Edit. Recompose.
qwen-image-layered awaits. Stop fighting with masks and start working with structure.