Gpen-bfr-2048.pth Official

It avoids the "plastic" look common in AI upscaling by generating realistic skin pores and fine textures.

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.

If you are setting up a tool like ComfyUI, Automatic1111, or a custom Python script, here is the general workflow to get the model running: Step 1: Download the Weights

KenjieDec/GPEN at fe9b1b2163911d1da194ef5554a2c3f388e85a03 gpen-bfr-2048.pth

Place it in the designated models/facerestore or weights directory.

At its core, "gpen-bfr-2048.pth" appears to be a file with a .pth extension, which is commonly associated with PyTorch, a popular open-source machine learning library. The .pth extension typically denotes a PyTorch model file, used for storing and loading neural network models.

You must download the official gpen-bfr-2048.pth file from a trusted repository. The official weights are usually hosted on: The original GitHub repository. It avoids the "plastic" look common in AI

The model has had a complex availability history due to its high quality and potential commercial applications.

You should consider using gpen-bfr-2048.pth if:

While you'll need a capable computer to run it, the results are often stunning. By integrating it into your workflow with simple Python code or through user-friendly applications like ComfyUI, you can breathe new life into your most precious memories or take your digital art to the next level. If you are setting up a tool like

import torch import torch.nn as nn from pathlib import Path

: The 2048.pth variant is specifically optimized for generating high-fidelity outputs at 2048x2048 resolution, making it ideal for "selfie" restoration and detailed portrait photography. Key Capabilities