The idea behind this model merge is to create a perfect mix capable of generating artistic photography: artful portraits and beautiful landscapes.
Both HotArt and HotArt2 as well as HotArt3 are great in their own way, try both with the same seed/sampler = then use the one according to your taste ;)
This rich Checkpoint/LORA mix series is an experiment that worked out very well ;)
For HotArt2 better hands - use both of the suggested resources (LORAs) at low ~0.333 level.
See below for more examples of generation capabilities š
Description
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.
FAQ
Comments (4)
Hello, are you planning to make a lightning version?
I can do it, sure - why not
@OliviaRossiĀ Shiva bless you :-))
@OliviaRossiĀ Thanks so much!
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.