Infinity ∞: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Infinity ∞: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

License: MIT
Model Type: Generative AI
Infinity introduces a novel approach to visual autoregressive modeling, enabling the generation of high-resolution, photorealistic images. By employing a bitwise token prediction framework, it achieves faster inference and improved generation quality compared to existing models.

Key Features

  • Bitwise Token Prediction: Utilizes a bitwise multi-scale residual quantizer and infinite-vocabulary classifier to enhance token prediction efficiency.
  • Bitwise Self-Correction: Implements a mechanism to mitigate train-test discrepancies, improving image generation consistency.
  • High-Resolution Generation: Capable of generating 1024×1024 images with significantly reduced inference time.
  • Pretrained Models: Provides access to various model checkpoints, including Infinity-2B and Infinity-8B, for diverse applications.
  • Interactive Demos: Offers Jupyter Notebooks for hands-on experimentation and understanding of model behavior.

Project Screenshots

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