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Yaron Lipman, Ricky T · 2023

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cs.CV 1

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2026 1

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UNVERDICTED 1

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Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models

cs.CV · 2026-05-20 · unverdicted · novelty 5.0

Lens is a 3.8B-parameter text-to-image model that reaches competitive or superior performance to >6B-parameter systems using 19.3% of the training compute of Z-Image through a densely captioned 800M dataset, multi-resolution batching, semantic VAE, strong language encoder, RL fine-tuning, and 4-step

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  • Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models cs.CV · 2026-05-20 · unverdicted · none · ref 19

    Lens is a 3.8B-parameter text-to-image model that reaches competitive or superior performance to >6B-parameter systems using 19.3% of the training compute of Z-Image through a densely captioned 800M dataset, multi-resolution batching, semantic VAE, strong language encoder, RL fine-tuning, and 4-step