The LAION-5b dataset, which SD 1.5 is trained on contains already a significant number of images created in the 1700s by Giovanni Battista Piranesi:

however, their resolution, tagging and chopping is all over the place, this model reinforces the concepts and art style based on high quality 1024 full-sized images without borders text and descriptions from the original artworks of Giovanni Battista Piranesi. they are based on high quality scans by the University of Tokyo library in the Kamei Collection. the images have been properly tagged and perfectly chopped as well as edited to remove numbers and comments and text embedded in the images.

The resulting checkpoint is now available in its first iteration. I’m also uploading the training data if you like to pick up where I stopped. LoRa version is also coming.