Real-ESRGAN
Training Real-World Blind Super-Resolution with Pure Synthetic Data, based on https://github.com/xinntao/Real-ESRGAN.
Dependencies
- PyTorch 2.6.0.dev or later
- VapourSynth R66 or later
trt requires additional packages:
- Torch-TensorRT 2.6.0.dev or later
To install the latest nightly build of PyTorch and Torch-TensorRT, run:
pip install -U packaging setuptools wheel
pip install --pre -U torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu126
pip install --no-deps --pre -U torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu126
pip install -U tensorrt-cu12 tensorrt-cu12_bindings tensorrt-cu12_libs --extra-index-url https://pypi.nvidia.com
Installation
pip install -U vsrealesrgan
If you want to download all models at once, run python -m vsrealesrgan. If you prefer to only download the model you
specified at first run, set auto_download=True in realesrgan().
Usage
from vsrealesrgan import realesrgan
ret = realesrgan(clip)
See __init__.py for the description of the parameters.
1 maintainer
Metadata
1 maintainer
Release files for vsrealesrgan 5.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vsrealesrgan-5.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / vsrealesrgan-5.2.1-py3-none-any.whl
| Download URL | vsrealesrgan-5.2.1-py3-none-any.whl |
|---|---|
| Size | 17.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
51f38c5d928cf483a29cbaa3fe00c582a3d5d45e72c92f4cf0dc59f4283397d9
|
|
BLAKE2b-256 checksum How to use checksums |
3685bee01587a17c90e0d2eee764b78b86cbe19e5395c8fd020b2b55c02bae4c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.3
|
