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AI Painting Now Supports Layered Images
Artificial Intelligence   Latest   Machine Learning

AI Painting Now Supports Layered Images

Author(s): Meng Li

Originally published on Towards AI.

Previously, creating images with a transparent background required me to spend hours carefully removing backgrounds in Photoshop. A slight lack of attention could ruin the entire effort, which was incredibly frustrating.

However, now with LayerDiffusion, all those tedious steps can be skipped.

By entering a few simple commands, it can automatically generate the transparent images I want, which is a real lifesaver!

LayerDiffusion is the latest masterpiece from the creator of ControlNet!

So, how exactly does LayerDiffusion achieve this?

How do we use LayerDiffusion?

Let’s explore together.

The uniqueness of LayerDiffusion lies in its ability to discreetly embed transparency information without altering the overall image.

Previous methods were cumbersome, directly training with pixel colors;

Now, the situation is much improved, thanks to the Latent Diffusion Model (LDM), which has made the process much easier.

Firstly, we adjusted the latent space of the LDM to handle the encoding and decoding of transparent images.

Then, we used a pre-trained model to generate transparent images, with quite satisfactory results.

Furthermore, we devised a method to enable the model to jointly or conditionally generate multiple layers.

Lastly, we meticulously prepared the dataset and addressed the details of neural network training implementation.

The LayerDiffusion project is not just about generating transparent images; it can also create transparent image elements… Read the full blog for free on Medium.

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Published via Towards AI

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