Towards Robust Blind Face Restoration with Codebook Lookup Transformer
This repo is a PyTorch implementation of the paper CodeFormer.
Installation
pip install codeformer-pip
Usage
from codeformer.app import inference_app
inference_app(
image="test.jpg",
background_enhance=True,
face_upsample=True,
upscale=2,
codeformer_fidelity=0.5,
)
Citation
@inproceedings{zhou2022codeformer,
author = {Zhou, Shangchen and Chan, Kelvin C.K. and Li, Chongyi and Loy, Chen Change},
title = {Towards Robust Blind Face Restoration with Codebook Lookup TransFormer},
booktitle = {NeurIPS},
year = {2022}
}
License
This project is licensed under NTU S-Lab License 1.0. Redistribution and use should follow this license.
Metadata
Release files for codeformer-pip 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| codeformer-pip-0.0.4.tar.gz | 111.9 kB | Without provenance | Details for codeformer-pip-0.0.4.tar.gz |
Release files / codeformer-pip-0.0.4.tar.gz
| Download URL | codeformer-pip-0.0.4.tar.gz |
|---|---|
| Size | 111.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b0f7e1bcf9003b2abcf714265b83ec9b6cf30c2243e5a56f4c4f8d42a0262045
|
|
BLAKE2b-256 checksum How to use checksums |
9c74b1346a6b85c54634b553d773bdcc696d6b4dcd9a6bc55c77cbfbad8dc223
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10
|
Security for codeformer-pip 0.0.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.