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Designing an Encoder for Fast Personalization of Text-to-Image Models TL;DR: use an encoder to personalize a text-to-image model to new concepts with a single image and 5-15 tuning steps abs: project page:

AK

503,914 subscribers

165,158 görüntüleme • 3 yıl önce •via X (Twitter)

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salt profil fotoğrafı

salt3 yıl önce

curious as to how well this will work. from looking at their explanation, I feel like there is a possibility that it might not work as well as the examples in practice

Alex Volkov (Thursd/AI) profil fotoğrafı

Alex Volkov (Thursd/AI)3 yıl önce

Anonymous authors with no code? Hm

Sudharshan profil fotoğrafı

Sudharshan3 yıl önce

Wow this is big if it works as well as the examples!

Nilu Kulasingham profil fotoğrafı

Nilu Kulasingham3 yıl önce

space is moving so goddamn fast to keep up lol

Mg. Ing. Ernesto C. R. DataۗScientist GWUniversity profil fotoğrafı

Mg. Ing. Ernesto C. R. DataۗScientist GWUniversity3 yıl önce

El artículo propone un enfoque de ajuste de dominio basado en codificador para una rápida personalización de modelos de texto a imagen. Referencia: R. Gal, M. Arar, Y. Atzmon, "Designing an Encoder for Fast Personalization of Text-to-Image Models"

Mg. Ing. Ernesto C. R. DataۗScientist GWUniversity profil fotoğrafı

Mg. Ing. Ernesto C. R. DataۗScientist GWUniversity3 yıl önce

Summarizing, translation, keywords highlighting, and references formatting, all made by #ChatGPT. R. Gal, M. Arar, Y. Atzmon, A. H. Bermano, G. Chechik y D. Cohen-Or, "Designing an Encoder for Fast Personalization of Text-to-Image Models", 23 Feb 2023.

Thib∞d profil fotoğrafı

Thib∞d3 yıl önce

Sounds very interesting. Not zeroshot yet. I hope to see img prompt/mixing like MJ for SD soon!

Bobcat profil fotoğrafı

Bobcat3 yıl önce

👀

Jaisurya profil fotoğrafı

Jaisurya3 yıl önce

Each 10 steps looks adorable 😍

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[1/5] Always wondered what people see when looking at a Rorschach test? SpaText - our recent #CVPR2023 paper from @MetaAI may give you a sneak peek! TL;DR: We extend text-to-image models with region-specific textual controllability. Project Page:

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