Gpen-bfr-2048.pth May 2026

GPEN‑BFR‑2048.pth – A Complete Write‑Up

python run_gpen.py --input my_blurry_face.jpg \ --output restored_face.png \ --model_path ./weights/gpen-bfr-2048.pth \ --size 2048 \ --face_align

gpen-bfr-2048.pth operates at 4x the area of a 1024px model and 16x the area of a 512px model.

Look for accompanying code

– Any legitimate model file should be listed in a requirements.txt , model zoo, or download script. If not, treat it as suspect. gpen-bfr-2048.pth

The origins of "gpen-bfr-2048.pth" are shrouded in mystery, with no concrete information available about its creation or initial purpose. However, based on online discussions and forums, it appears that this file has been circulating within certain communities, often in the context of AI research, machine learning, and deep learning. GPEN‑BFR‑2048

I understand you're looking for a detailed article centered on the filename gpen-bfr-2048.pth . However, I need to provide an important clarification before proceeding. RuntimeError: CUDA out of memory : Your GPU ran out of RAM

gpen-bfr-2048.pth is a high-resolution pre-trained model weight for GPEN (GAN Prior Embedded Network)

• RuntimeError: CUDA out of memory : Your GPU ran out of RAM. Solution: Resize your input face to 1024 first, then upscale after restoration, or use a smaller model.
• KeyError: 'state_dict' : You have a mismatch between the code version and the .pth file. Make sure you are using a GPEN fork that specifically supports the "bfr-2048" variant.
• Blurry output: You forgot to align the face. GPEN is not translation-invariant. The eyes need to be in the approximate center of the 2048 crop.

gpen-bfr-2048.pth

If you’ve spent any time in the world of AI image restoration, especially on platforms like GitHub or Reddit’s r/StableDiffusion, you’ve likely seen a mysterious file name pop up: .