Illustrious: an Open Advanced Illustration Model
In this work, we share the insights for achieving state-of-the-art quality in
our text-to-image anime image generative model, called Illustrious. To achieve
high resolution, dynamic color range images, and high restoration ability, we
focus on three critical approaches for model improvement. First, we delve into
the significance of the batch size and dropout control, which enables faster
learning of controllable token based concept activations. Second, we increase
the training resolution of images, affecting the accurate depiction of
character anatomy in much higher resolution, extending its generation
capability over 20MP with proper methods. Finally, we propose the refined
multi-level captions, covering all tags and various natural language captions
as a critical factor for model development. Through extensive analysis and
experiments, Illustrious demonstrates state-of-the-art performance in terms of
animation style, outperforming widely-used models in illustration domains,
propelling easier customization and personalization with nature of open source.
We plan to publicly release updated Illustrious model series sequentially as
well as sustainable plans for improvements.
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Sang Hyun Park
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Jun Young Koh
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JUNYOUNG KOH
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solbon1212
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Junha Lee
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Joy Song
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Joy Song
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fashiongirl9
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Dongha Kim
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KimDongha
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WhiteDandelion
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Hoyeon Moon
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2024-10-02T08:55:06.114Z
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Hoyeon Moon
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mhy9910
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Hyunju Lee
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2024-10-02T08:55:50.662Z
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Hyunju Lee
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leehg57
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Min Song
Illustrious: an Open Advanced Illustration Model
In this work, we share the insights for achieving state-of-the-art quality in
our text-to-image anime image generative model, called Illustrious. To achieve
high resolution, dynamic color range images, and high restoration ability, we
focus on three critical approaches for model improvement. First, we delve into
the significance of the batch size and dropout control, which enables faster
learning of controllable token based concept activations. Second, we increase
the training resolution of images, affecting the accurate depiction of
character anatomy in much higher resolution, extending its generation
capability over 20MP with proper methods. Finally, we propose the refined
multi-level captions, covering all tags and various natural language captions
as a critical factor for model development. Through extensive analysis and
experiments, Illustrious demonstrates state-of-the-art performance in terms of
animation style, outperforming widely-used models in illustration domains,
propelling easier customization and personalization with nature of open source.
We plan to publicly release updated Illustrious model series sequentially as
well as sustainable plans for improvements.
Illustrious, a text-to-image anime model, achieves high-resolution, dynamic color output, and strong restoration capabilities through controlled token activations, higher training resolutions, and refined multi-level captions, outperforming existing models.
controllable token based concept activations training resolution character anatomy refined multi-level captions state-of-the-art performance animation style illustration domains customization personalization