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Ostris releases Primal VAE, improving image generation efficiency

By PulseAugur Editorial · [1 sources] ·

Ostris has released Primal VAE, a new variational autoencoder designed for image generation models. This VAE operates by performing a 2x spatial downsampling to a single channel, which can result in an 8x downsampling at 16 channels when combined with patching, similar to other modern VAEs but without deep compression. Primal VAE is trained to maintain its norm in line with noise, eliminating the need for scaling factors, shift factors, or latent normalization. AI

IMPACT This new VAE could offer improved efficiency and performance for image generation models by simplifying the latent space processing.

RANK_REASON Release of a new VAE model for image generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ostris releases Primal VAE, improving image generation efficiency

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Release of a new VAE model for image generation. [lever_c_demoted from research: ic=1 ai=1.0]
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model release
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COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Crazy-Repeat-2006 ·

    Ostris releases Primal VAE - better than Flux.2 VAE.

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1xjt4bg/ostris_releases_primal_vae_better_than_flux2_vae/"> <img alt="Ostris releases Primal VAE - better than Flux.2 VAE." src="https://preview.redd.it/yns229gpioyh1.png?width=640&amp;crop=smart&amp;auto…

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