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FlowUpscaler offers rapid latent image upscaling for Flux.2

A new latent upscale model called FlowUpscaler has been developed for Flux.2 and its Klein variants. This model utilizes a Rectified Flow approach, allowing it to upscale images from 512x512 to 1024x1024 in just 8 milliseconds. It was trained by mimicking Flux.2 trajectories through flow distillation and is available with ComfyUI nodes for integration into existing workflows. AI

IMPACT Accelerates image generation workflows by providing significantly faster upscaling capabilities.

RANK_REASON This is a new tool/model release for image upscaling, not a frontier model release from a major lab.

Read on r/StableDiffusion →

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

FlowUpscaler offers rapid latent image upscaling for Flux.2

COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/TensorForger ·

    FlowUpscaler: a very fast Rectified Flow latent upscale model for Flux.2 (ComfyUI nodes are already there)

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1u4w48e/flowupscaler_a_very_fast_rectified_flow_latent/"> <img alt="FlowUpscaler: a very fast Rectified Flow latent upscale model for Flux.2 (ComfyUI nodes are already there)" src="https://external-previe…