visual_anagrams
The project delves into the creation of optical illusions using diffusion models, emphasizing visual anagrams that alter appearance through transformations such as rotation and color inversion. Utilizing DeepFloyd's pixel diffusion model, it avoids common artifacts of latent diffusion. The repository includes comprehensive guides and Colab demos for engaging users, offering both free and advanced versions to experiment with high-resolution images. Users can generate diverse illusions in various styles and subjects, employing techniques like flipping and jigsaw. This approach underscores the relationship between art and machine learning, serving as a valuable resource for developers and researchers in synthetic visual art and perception.
