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erlich is the text2image latent diffusion model from CompVis (with additions from `glid-3-xl`) finetuned on a dataset collected from LAION-5B named Large Logo Dataset. It consists of roughly 100K images of logos with captions generated via BLIP using aggressive re-ranking.
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language: en
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tags:
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- exbert
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license: mit
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erlich is the text2image latent diffusion model from CompVis (with additions from `glid-3-xl`) finetuned on a dataset collected from LAION-5B named Large Logo Dataset. It consists of roughly 100K images of logos with captions generated via BLIP using aggressive re-ranking.
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Replicate versions:
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