Standard diffusion

1. What is Stable Diffusion used for?
2. What are steps in Stable Diffusion?
3. Does Stable Diffusion allow NSFW?
4. What is diffusion in deep learning?

What is Stable Diffusion used for?

Stable Diffusion is a latent diffusion model that is capable of generating detailed images from text descriptions. It can also be used for tasks such as inpainting, outpainting, text-to-image and image-to-image translations.

What are steps in Stable Diffusion?

Stable Diffusion consists of 3 parts: the variational autoencoder (VAE), U-Net, and an optional text encoder. The VAE encoder compresses the image from pixel space to a smaller dimensional latent space, capturing a more fundamental semantic meaning of the image.

Does Stable Diffusion allow NSFW?

Users Are Calling It 'Censorship' The latest update to Stable Diffusion also includes an adult content filter limiting the generation of NSFW images.

What is diffusion in deep learning?

A diffusion model is a deep generative model that is based on two stages, a forward diffusion stage and a reverse diffusion stage. In the forward diffusion stage, the input data is gradually perturbed over several steps by adding Gaussian noise.