Qwen-Image-Layered decomposes images into transparent RGBA layers, unlocking inherent editability. You can move, resize, or delete objects without artifacts. Supports recursive decomposition and variable layer counts.
This is a really interesting release from the Qwen team. The model natively decomposes images into layers, which is basically the foundation for any precise editing work.
It is fine-tuned based on Qwen-Image. Right now, the Hugging Face demo allows splitting up to 10 layers, which is usually enough for most workflows.
The model size is a bit heavy. Hopefully, we will see a lighter or distilled version in the future!
Interesting! Soon China will overtake the US in the number of AI projects)
It is a significant milestone because it addresses the "tangled pixel" problem that has plagued AI image editing. Traditionally, AI edits images by regenerating the entire canvas (or a masked area), which often leads to "drift"—where the surrounding parts of the image change unintentionally.
By shifting from flat pixels to RGBA layers, Qwen-Image-Layered brings professional Photoshop-style logic to generative AI.
Can't wait to see APIs built on top of it
@junyang_lin I wanted to try, but don't you release the windows version?
Oh man...I can't wait to use this. I have been using inkscape to do all this manually for so long now. I use it to make some really cool 3D printed art from comics and stuff. I can't wait to try this! Like, I am genuinely super excited! If I was a dog, my tail would be straight up vibrating at this idea! I hope my friends and family don't get mad at all the 3D printed art I start churning out. I hope to someday start making 'limited edition' comic book covers for people. I think this will get me really close.
This is incredibly useful for design workflows! As a UI/UX designer, I often need to extract elements from flat images or mock-ups, and manually cutting out objects is time-consuming and tedious.
The ability to decompose images into transparent RGBA layers automatically is a game-changer. This could save hours when working with client-provided assets that need to be edited or repurposed.
I'm curious about the accuracy - how well does it handle complex images with overlapping elements or intricate details? Also, does it support batch processing for multiple images at once?
Definitely bookmarking this for my design toolkit!
@Qwen3 Turning flat images into multi layer editable assets is brilliant for designers! This could speed up workflows where you need to edit existing images without access to original source files.
How accurate is the layer detection for complex images with overlapping elements? And does it preserve transparency and blending modes, or does it focus mainly on separating visual layers?
This is a solid step forward for practical image editing. Native layer decomposition is exactly what’s been missing for precise control, not just “generate and hope.”
Agreed on the model size — a distilled version would make this much easier to adopt in real-world workflows.
This was so needed! Using LLM image generators was really limiting without layers
Hey, so cool to see my ex-company’s product on here! Qwen-Image-Layered is such a cool idea — as someone who’s suffered through way too many manual cutouts, turning images directly into editable layers feels like magic. Really smart approach.
Major props for focusing on such a specific yet painful problem. It's refreshing to see a bigger team move this nimbly and deliver something so genuinely useful.
One tiny thought for the future — if the AI could auto-tag layers while decomposing (like "person-foreground", "text-header", "sky-background"), it’d be even easier to navigate, especially when there are lots of layers.
Anyway, super stoked to see this launch. Congrats to the team! Looking forward to catching up 👏
Wow, this is absolutely huge!
Can't wait for SaaS video-editors to appear online to take advantage of this opportunity! 🚀
About Qwen-Image-Layered on Product Hunt
“Turn flat images into multi-layer editable assets”
Qwen-Image-Layered launched on Product Hunt on December 22nd, 2025 and earned 267 upvotes and 11 comments, placing #4 on the daily leaderboard. Qwen-Image-Layered decomposes images into transparent RGBA layers, unlocking inherent editability. You can move, resize, or delete objects without artifacts. Supports recursive decomposition and variable layer counts.
Qwen-Image-Layered was featured in Open Source (68.3k followers), Artificial Intelligence (466.2k followers) and Photo editing (1.4k followers) on Product Hunt. Together, these topics include over 99.1k products, making this a competitive space to launch in.
Who hunted Qwen-Image-Layered?
Qwen-Image-Layered was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Zac Zuo
Hi everyone!
This is a really interesting release from the Qwen team. The model natively decomposes images into layers, which is basically the foundation for any precise editing work.
It is fine-tuned based on Qwen-Image. Right now, the Hugging Face demo allows splitting up to 10 layers, which is usually enough for most workflows.
The model size is a bit heavy. Hopefully, we will see a lighter or distilled version in the future!