Average Model Cost: $0.0004
Number of Runs: 65,572
Models by this creator
rembg is a pre-trained neural network that is designed to remove the background from an image. The model takes in an image as input and uses its understanding of various visual features to segment the image into foreground and background regions. It then creates a pixel-level mask that indicates which parts of the image belong to the foreground, allowing for easy removal of the background. The model is trained on a large dataset of images with ground truth foreground-background segmentation masks, allowing it to accurately remove backgrounds from a wide range of images.
This repo is for testing the first Openjourney fine tuned model. It was trained over Stable Diffusion 1.5 with +60000 images, 4500 steps and 3 epochs. So "mdjrny-v4 style" is not necessary anymore (yay!) Things to check in this beta: Is the quality better that the Dreambooth version?