The cover artwork shows a visualization of the metric on the latent space itself (for the same model parameters and data as the video, but different training run). Imagining the magnification factor associated with the metric as a particle density distribution, and considering the resulting diffusion process, gives this visualization of initial velocities, reminiscent of an alien landscape full of sharp ridges and valleys.
Usually when creating art with generative models we think of the actual output created by the model. Here however, both the video as well as the cover art flip this notion on its head, showing that latent spaces themselves can have an inherent beauty and artistic quality, even if the data the model was trained on is decidedly dull, such as the consumer complaints texts used here.