Gpen-bfr-2048.pth — |verified|

. It is widely regarded by enthusiasts as a superior alternative to other popular models like GFPGAN and CodeFormer for high-quality, denoised inputs.

You can download official versions of this model from the GPEN GitHub repository or community-hosted spaces like Hugging Face . gpen-bfr-2048.pth

Users of Midjourney or Stable Diffusion often use this model to fix "messed up" faces or eyes that didn't render correctly during the initial generation. How to Use the .pth File Users of Midjourney or Stable Diffusion often use

# If the model is not a state_dict but a full model, you can directly use it # However, if it's a state_dict (weights), you need to load it into a model instance model.eval() # Set the model to evaluation mode What is GPEN-BFR-2048

The file is a high-resolution pretrained model weights file for the GAN Prior Embedded Network (GPEN) , a deep learning framework designed for Blind Face Restoration (BFR) . This specific model is trained on 2048x2048 resolution images, making it one of the most powerful versions available for restoring and enhancing facial details in low-quality or degraded photos. What is GPEN-BFR-2048?

The file is a pre-trained model for the GAN Prior Embedded Network (GPEN) , specifically designed for Blind Face Restoration (BFR) at a high output resolution of 2048x2048 pixels . Key Useful Features