readme: ---
  language: en
  tags:
  - glid-3-xl
  - latent-diffusion
  
  license: mit
  ---
  
  
  erlich is the text2image latent diffusion model from CompVis (with additions from `glid-3-xl`) finetuned on a dataset collected from LAION-5B named Large Logo Dataset. It consists of roughly 100K images of logos with captions generated via BLIP using aggressive re-ranking.
  
  Replicate versions:
  [original](https://replicate.com/laion-ai/erlich/versions/36ad98eccc1965ea471c39b61e58f32d599b59dbf3c8dff9d701d4e9c77d8db3)
  [latest](https://replicate.com/laion-ai/erlich/versions/d146f48156973f404ec492e57103ac377cac1d2d2a8ead80152cd4a50ab444d6)