Magic Eraser lets you erase big unwanted areas from your photos while keeping them crisp and realistic. Magic eraser is based on LaMa—which stands for Resolution-robust Large Mask Inpainting, is a powerhouse for tackling large areas in need of inpainting. This is further enhanced by a high receptive field perceptual loss and the use of expansive training masks, ensuring that every edit is seamless and natural-looking.
Here's how magic eraser helps in AI photo editing:
Erases Big Stuff: Regular Inpainting tools struggle with large areas. But Magic Eraser tackles huge unwanted parts in your picture effortlessly.
Works on High-Res Photos: Even on super clear photos, It can magically remove big things without making the rest blurry.
Generative Fill: Magic eraser can seamlessly fill in missing areas in photos with realistic details.
SDXL Img2Img is used for text-guided image-to-image translation. This model uses the weights from Stable Diffusion to generate new images from an input image using StableDiffusionImg2ImgPipeline from diffusers
This model is capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask
The SDXL model is the official upgrade to the v1.5 model. The model is released as open-source software
Take a picture/gif and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training