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Update README: multi-step is now the default
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A newer version of the Gradio SDK is available: 6.24.0

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metadata 
title: RFMSR Super-Resolution
emoji: 🔍
colorFrom: red
colorTo: gray
sdk: gradio
sdk_version: 6.22.0
app_file: app.py
short_description: Residual Flow Matching for 4x image super-resolution
python_version: '3.12'
startup_duration_timeout: 30m

RFMSR: Residual Flow Matching for Image Super-Resolution

This Space demos RFMSR, a flow-matching-based image super-resolution model.

Upload a low-quality image and get a 4× upscaled result. The model performs residual flow matching in the latent space of the SD2.1 VAE, guided by DINOv2 semantic features.

Usage

  1. Upload a low-quality image (or click an example)
  2. Adjust the upscale factor and number of steps if desired
  3. Click "Super-Resolve"

Multi-step mode (default, 15 steps) produces sharp, high-quality results. One-step mode (1 step) is faster but produces softer/blurrier output.

Links