generative

Check out the FilmGeeks3 Collection In last year’s post on generative models, we showcased theatrical posters synthesized with GANs and diffusion models. Since that time, Latent Diffusion has gained popularity for faster training while allowing the output to be conditioned on text and images. This variant performs diffusion in the embedding space after encoding text or image inputs with CLIP. By allowing the generated output to be conditioned on text and/or image inputs, the user has much more influence on the results....