Personally diffused

Personally diffused

From 2018 to 2020, I mainly used GAN models that I coded and trained myself, using my own image material, to generate new works which were based on visual features derived from the images used in training. More recently I have tried the same approach using diffusion models. For training I use very small datasets of visually consistent images, and training times are of the order of one or two days. I have released the software in GitHub as urdiffusion.

Urdiffusion is not for everyone, it is difficult to control and absolutely not for realistic images. After all, I developed it in order to explore visuality from my own point of view, according to my preferences.

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