Parti – Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Parti is a new autoregressive text-to-image model that shows just how much scale can achieve. This model’s outputs are crips, accurate, realistic, and can combine arbitrary styles, concepts, and fulfil even challenging requests.

Yannic explains the research paper.

Time stamps:

  • 0:00 – Introduction
  • 2:40 – Example Outputs
  • 6:00 – Model Architecture
  • 17:15 – Datasets (incl. PartiPrompts)
  • 21:45 – Experimental Results
  • 27:00 – Picking a cherry tree
  • 29:30 – Failure cases
  • 33:20 – Final comments

Frank

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