A landscape emerges from noise, breaks down again, and becomes the reference point for a complete one-minute explanation. Ling-3.1-flash generated this web presentation using HTML, CSS and SVG. The attached recording includes the opening, all the chapters and the closing recap. It moves through forward noising, reverse sampling, steps and samplers, guidance and latent space, then shows an illustrated workflow dashboard. Chapter labels and a progress bar keep the viewer oriented. The model’s contribution is the presentation itself: coordinating diagrams, captions and animation on one timeline. For a recreation, supply the teaching points and ask the model to use one recurring visual example throughout. A suggested prompt structure: “Create a 60-second animated web lesson about diffusion models in one HTML file using HTML, CSS and SVG. Use a landscape image as the recurring visual. Give each concept a labelled chapter, a short caption and a matching animation. Cover forward noising, reverse sampling, steps, guidance and latent space, then finish with a visual recap. Include a chapter indicator and progress bar.” Shared as part of AntLing’s campaign. submitted by /u/Muhlwa_Sholanke
Originally posted by u/Muhlwa_Sholanke on r/ArtificialInteligence
