HotArt
HotArt
16 stars
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HotArt

Creator: OliviaRossi

About this version

This version adds Step-aware Preference Optimization (SPO) LORA, [a novel post-training approach that independently evaluates and adjusts the denoising performance at each step, using a step-aware preference model and a step-wise resampler to ensure accurate step-aware supervision... blah, blah, blah = makes the output way artfully beautiful, a.k.a. - NICER !!!]

P.S.: The SPO approach is better than Direct Preference Optimization (DPO) that has extended its success from aligning large language models (LLMs) to aligning text-to-image diffusion models with human preferences. Unlike most existing DPO methods, which assume that all diffusion steps share a consistent preference order with the final generated images, this assumption neglects step-specific denoising performance and that preference labels should be tailored to each step's contribution.

The idea behind this model merge is to create a perfect mix capable of generating artistic photography: artful portraits and beautiful landscapes.

This rich Model/LoRA mix series is an experiment that worked out very well ;)

Bild1.webpBild2.webpBild3.webpBild4.webpBild5.webpBild6.webpBild7.webpBild8.webpBild9.webpBild10.webpBild11.webpBild12.webpBild13.webpBild14.webpBild15.webpBild16.webpBild17.webpBild18.webpBild19.webpBild20.webp

HotArt

Creator: OliviaRossi

About this version

This version adds Step-aware Preference Optimization (SPO) LORA, [a novel post-training approach that independently evaluates and adjusts the denoising performance at each step, using a step-aware preference model and a step-wise resampler to ensure accurate step-aware supervision... blah, blah, blah = makes the output way artfully beautiful, a.k.a. - NICER !!!]

P.S.: The SPO approach is better than Direct Preference Optimization (DPO) that has extended its success from aligning large language models (LLMs) to aligning text-to-image diffusion models with human preferences. Unlike most existing DPO methods, which assume that all diffusion steps share a consistent preference order with the final generated images, this assumption neglects step-specific denoising performance and that preference labels should be tailored to each step's contribution.

The idea behind this model merge is to create a perfect mix capable of generating artistic photography: artful portraits and beautiful landscapes.

This rich Model/LoRA mix series is an experiment that worked out very well ;)

Bild1.webpBild2.webpBild3.webpBild4.webpBild5.webpBild6.webpBild7.webpBild8.webpBild9.webpBild10.webpBild11.webpBild12.webpBild13.webpBild14.webpBild15.webpBild16.webpBild17.webpBild18.webpBild19.webpBild20.webp
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HotArt 3 SPO
Updated on Jul 9, 2024
sparks/hotart
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16 stars
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sparks