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New tiny latent upscaler SesquiLSR released for AI image models

A new, small, and fast latent upscaler called SesquiLSR has been developed for use with various AI image generation models. This upscaler aims to improve efficiency by avoiding the lossy VAE roundtrip typically involved in upscaling latent representations. SesquiLSR is designed to be a replacement for basic upscaling methods like bilinear or bicubic, offering better quality while maintaining speed. AI

IMPACT Offers a more efficient latent upscaling method for AI image generators, potentially improving workflow speed and quality.

RANK_REASON The item describes a new tool/implementation for AI image generation, not a core AI model release or research paper.

Read on r/StableDiffusion →

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

New tiny latent upscaler SesquiLSR released for AI image models

COVERAGE [1]

  1. r/StableDiffusion TIER_2 (CA) · /u/LoganBooker ·

    SesquiLSR: tiny 1-2x learned latent upscaler for Flux2, Anima, SDXL and more

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1uoortd/sesquilsr_tiny_12x_learned_latent_upscaler_for/"> <img alt="SesquiLSR: tiny 1-2x learned latent upscaler for Flux2, Anima, SDXL and more" src="https://preview.redd.it/6f8c7x9cpjbh1.png?width=140&a…