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+license: mit
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+# 🌿 Vanilla Autoregressive Models are Scalable Image Generators
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+We introduce 🌿 Vanilla, a new family of image generation models that apply next-token prediction paradigm of large language models to visual generation domain. It is an affirmative answer to whether vanilla autoregressive models without inductive biases on visual signals can achieve state-of-the-art image generation performance if scaling properly. We reexamine the design spaces of image tokenizer and image generation models, and their scalability properties.
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+This repo is used for hosting Vanilla's checkpoints.
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+For more details or tutorials see https://github.com/FoundationVision/Vanilla