  We extend Textual Inversion to learn pseudo-words that represent a concept at
different resolutions. This allows us to generate images that use the concept
with different levels of detail and also to manipulate different resolutions
using language. Once learned, the user can generate images at different levels
of agreement to the original concept; "A photo of $S^*(0)$" produces the exact
object while the prompt "A photo of $S^*(0.8)$" only matches the rough outlines
and colors. Our framework allows us to generate images that use different
resolutions of an image (e.g. details, textures, styles) as separate
pseudo-words that can be composed in various ways. We open-soure our code in
the following URL: https://github.com/giannisdaras/multires_textual_inversion
