stable-diffusion-webui-rembg VS cloth-segmentation

Extension REMBG for Automatic1111

This tool will mask the output image of your generations: https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg

Remove background with your favourite image editing software (I used Photoshop) or rembg, for example

With the following prompt, we get a good image of Pikachu in the DD style which can then have the background made transparent with https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg

Also, this auto removes backgrounds

So, the only difference from the listed method is to add an extra step to preprocessing. Before captioning images, I used this extension to batch remove backgrounds. Then, I took those PNGs and used Photoshop to batch save them as JPEGs, resulting in cutout images of the subject with white backgrounds. I then proceeded as listed in that comment.

u2net_cloth_seg (download, source): A pre-trained model for Cloths Parsing from human portrait. Here clothes are parsed into 3 category: Upper body, Lower body and Full body.

Since you want to do semantic segmentation with a U-net, I would recommend tearing apart this project: https://github.com/levindabhi/cloth-segmentation