Practical Exploration → 01 Ideation → 02 Fine-tuning → 03 Experiments → 04 Co-creations → 05 Result
02 Fine-tuning
To fine-tune the Stable Diffusion v1.5 model, I selected a dataset of about 130 images, mainly posters and some flyers. These selections are from the last 30 years, with a small selection from the 50s to the 70s, and they include some of my own designs.
Interesting areas of these images were selected and cropped with the help of Birme’s website into 512 x 512 px images for fine-tuning and creating various models.
These new images, about 230, were categorised by complexity, from simple to most complex design. The fine-tuning was done with the Dreambooth tool on Google Colab.
Each model was trained with one of these 11 image categories to capture a unique visual style. The following images are a selection from each group.