- What is guided diffusion?
- What are steps in stable diffusion?
- What is diffusion model in deep learning?
- What is diffusion model in marketing?
What is guided diffusion?
This is the codebase for Diffusion Models Beat GANS on Image Synthesis. This repository is based on openai/improved-diffusion, with modifications for classifier conditioning and architecture improvements.
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.
What is diffusion model in deep learning?
Diffusion models train by adding noise to images, which the model then learns how to remove. The model then applies this denoising process to random seeds to generate realistic images.
What is diffusion model in marketing?
In marketing, diffusion models have been used traditionally for capturing the life- cycle dynamics of a new product, for forecasting the demand for a new product, and as a decision aid in making pre-launch, launch and post-launch strategic choices.