stable-diffusion-webui-rembg VS rembg

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.

A bit conflicted as the linked video is also linked from the actual rembg repo but it seems way faster and more detailed to just read the readme at that repo first, and maybe use a video if something doesn’t make sense.

There are open source tools like rembg (https://github.com/danielgatis/rembg) which call into pre-trained models.

You can use Rembg extension to remove background automatically: https://github.com/danielgatis/rembg

Hi guys 📷 I am new to ml deployment. Can anyone help about production deployment ? I made fastapi docker app which removes background from image (https://github.com/danielgatis/rembg). It uses u2net segmentation. I tried aws ec2, lambda, googld cloudrun and so far ec2(t2-large) is the fastest but still too slow. Also, it costs way more than I expected. Are there any other solution that I can deploy ml app with as low as possible? Where do you guys mostly deploy ml app?

I am currently using rembg https://github.com/danielgatis/rembg

rembg

A python script with rembg could work

4.) rembg -- backgrounds be gone. If there isn't an extension in Automatic1111 for this yet, there should be (I haven't checked recently). Same deal as midas, you can point it at a folder and zap the backgrounds off of all your images. Useful in combo with midas and imagemagick if, for instance, you want images of an object on a white background (Stable Diffusion training via LoRAs/Dreambooth may not benefit, but other things like GANs prefer that sort of training image). Useful if you want to "compose" a scene and you have images of dispirate objects/people you want in that scene.

Ran into another issue with " LoadLibrary failed with error 126 Here's the solution: https://github.com/danielgatis/rembg/issues/312