LPIPS-J
This is a minimal JAX/Flax port of lpips, as implemented in:
Only the essential features have been implemented. Our motivation is to support VQGAN training for DALL•E Mini.
It currently supports the vgg16 backend, leveraging the implementation in flaxmodels.
Pre-trained weights for the network and the linear layers are downloaded from the 🤗 Hugging Face hub.
Installation
- Install JAX for CUDA or TPU following the instructions at https://github.com/google/jax#installation.
- Install this package from the repository:
pip install --upgrade git+https://github.com/pcuenca/lpips-j.git
1 maintainer
Metadata
1 maintainer
Release files for lpips-j 0.0.6
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| lpips-j-0.0.6.tar.gz | 7.2 kB | Without provenance | Details for lpips-j-0.0.6.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| lpips_j-0.0.6-py3-none-any.whl | Python 3 | none | any | Details for lpips_j-0.0.6-py3-none-any.whl |
Total release size: 14.7 kB
Release files / lpips-j-0.0.6.tar.gz
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| Size | 7.2 kB |
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Release files / lpips_j-0.0.6-py3-none-any.whl
| Download URL | lpips_j-0.0.6-py3-none-any.whl |
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| Size | 7.4 kB |
| Tags | Python 3 |
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