There is a dark wave, electro, gothic nightclub lost in time, long before the advent of social media, when images used to accumulate in galleries and pages of the web 1.0. This checkpoint was trained on images from the age of the first mass-market digital cameras 30 years ago until 15 years later. The source material has been a blurry mess of low-resolution images with lots of JPEG artefacts; they’ve all been pre-processed over several iterations with different AI upscaling and artefact removal as well as face restoration systems.

The training data from 13025 images have been blended during the training process as additions to the already present similar subjects of the SD 1.5 checkpoint. A subset of the images was already in the original low-resolution versions included in SD 1.5. The result is that this checkpoint is trained to visualise epic and surreal dark wave, electro, and gothic party scenes populated with guests and visitors wearing elaborate costumes and unique clothing with the right make-up to go along for the occasion.

The training has been set up to get the general art and a static look and feel of the dataset transferred into a versatile SD 1.5 checkpoint where everything else is preserved to allow for a wide range of subjects and compositions. The checkpoint is not trained to replicate the actual persons or a precise subset of the training data. The training took 50 epochs over 1630240 iterations.

Use “GothClub2K” in your prompts to invoke attention to the training data and dataset of the subjects alongside a detailed description of what you like to visualise.