introduce
Hugging Face provides different methods for image-to-image generation using pretrained models and other available libraries. This article will use the UNet2DConditionModel model to generate new images from input images. The implementation will be based on PyTorch and then on hugging height2img . The stable diffusion model makes it possible to generate new images by modifying them and generating new creative images.
What is a stable diffusion model?
Stable diffusion models are models that act as latent diffusers by learning the latent composition of an image and how the image behaves in the latent space. They can be considered a member of the deep generative neural network (dgNN) family, which are particularly high-performance generative neural network (GNN) layer backends.
Beginners may ask what the word "stable" means in stable diffusion. it is stable,