Gpen-bfr-2048.pth Jun 2026

have reported that it often outperforms CodeFormer and GFPGAN v1.4 in terms of visual clarity. Natural Results

First, let’s start with the acronym. GPEN stands for It’s a sophisticated AI model developed by researchers at Alibaba's DAMO Academy and The Hong Kong Polytechnic University, first introduced in a paper at the CVPR 2021 conference.

wget "[URL_TO_MODEL]" -O weights/GPEN-BFR-2048.pth

This is the file extension for a PyTorch model checkpoint. It contains the weights and biases—essentially the "brain" and learned experience—of the trained neural network. How GPEN Differs from Traditional Upscalers gpen-bfr-2048.pth

The file "gpen-bfr-2048.pth" appears to be a PyTorch model checkpoint file. In this report, we will attempt to gather information about this file, its possible origins, and its potential uses.

# Generate an image image = model(noise)

The .pth extension indicates it is a PyTorch model file containing the "state_dict" (weights) needed to run the neural network. have reported that it often outperforms CodeFormer and

import torch model = torch.load('gpen-bfr-2048.pth', map_location=torch.device('cpu'))

Unlike standard models that often operate at 512px or 1024px, the "2048" variant is specifically optimized for ultra-high-definition outputs.

The gpen-bfr-2048.pth model is widely integrated into several open-source ecosystems and professional workflows: wget "[URL_TO_MODEL]" -O weights/GPEN-BFR-2048

The model can be downloaded directly using a command line tool like wget if you have the direct URL:

Many users prefer adding the model to their existing WebUI (like Automatic1111 or SDNext) or face-swapping software (FaceFusion). Download the .pth file or .onnx version.