VAR

Visual Autoregressive Modeling: A New Paradigm for Visual Generation

CommonProductImageImage GenerationAutoregressive Model

VAR is a novel visual autoregressive modeling method that surpasses diffusion models, achieving more efficient image generation. It establishes the power-law scaling laws of visual generation and possesses zero-shot generalization capabilities. VAR provides a range of pre-trained models of different sizes for users to explore and utilize.

Autoregressive Visual Generation
Efficiency surpassing diffusion models
Discovering power-law scaling laws of visual generation
Zero-shot generalization capability

Primarily used for efficient image generation and synthesis tasks.

Interact with VAR models for generative image creation on the demo website.
Explore the technical details of VAR models in the demo_sample.ipynb.
Leverage VAR to efficiently generate various image types
such as artistic creations and product designs.

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