OpenAI GLIDE: Guided Language to Image Diffusion for Generation and Editing
Diffusion Models
Diffusion models work by gradually transforming a noisy image into a clear, detailed one. The process starts with a random noise image, and the model iteratively reduces the noise, guided by the input data, until it produces a realistic image.
Example: Think of it as sculpting a statue from a block of marble. The initial noise represents the unformed block, and each step of the diffusion process chisels away the noise, revealing the final image.
Diffusion Models
Diffusion models work by gradually transforming a noisy image into a clear, detailed one. The process starts with a random noise image, and the model iteratively reduces the noise, guided by the input data, until it produces a realistic image.
Example: Think of it as sculpting a statue from a block of marble. The initial noise represents the unformed block, and each step of the diffusion process chisels away the noise, revealing the final image.