u/UnemployedDoxedCoder

Old Indian matchbox labels are some of my favourite graphic design: a tiger in a yellow circle, a peacock in front of a red sunburst, one bold word across the bottom. I wanted a model that makes new ones from a text prompt.

What I built

• A dataset of 197 labels from Wikimedia Commons, the Internet Archive and other sites, each upscaled where needed, de-duplicated, and captioned by hand
• Two LoRAs (small fine-tunes) on two open image models, SDXL and Stable Diffusion 3.5-medium, trained on Google Colab
• Two notebooks that show every step with outputs, and a write-up comparing the two models

What came out

• The SD3.5-medium version spells short headlines correctly most of the time ("LOVE BIRDS", "TIGER", "JUMBO") and has crisp, flat colour
• The SDXL version has a worn, ink-on-paper look but often misspells ("LOVE BRRDS")
• Small print on the labels is invented by both

Links

• Code and write-up: https://github.com/spearb0lt/Indian-Matchbox-Art-Style-Text-to-Image-Generator
• Model weights: https://huggingface.co/spearb0lt/Indian-Matchbox-Art-Style-Text-to-Image-Generator
• Dataset: https://huggingface.co/datasets/spearb0lt/Indian-Matchbox-Labels

Both notebooks run on Google Colab (trained on an L4). Feedback welcome.