RealESRGAN_x4plus model is wrong for inference the example images

[xm1085]

use "python inference_realesrgan.py -n RealESRGAN_x4plus -i inputs" to inference the example images,but get the wrong results:

----------my device-----------
rtx4090 24G
cuda:12.1
cuda driver:565.90

---------conda_env------------
absl-py 2.1.0
addict 2.4.0
autocommand 2.2.2
backports.tarfile 1.2.0
basicsr 1.4.2
certifi 2024.8.30
charset-normalizer 3.4.0
contourpy 1.3.0
cycler 0.12.1
facexlib 0.3.0
filelock 3.16.1
filterpy 1.4.5
fonttools 4.54.1
fsspec 2024.10.0
future 1.0.0
gfpgan 1.3.8
grpcio 1.67.1
idna 3.10
imageio 2.36.0
importlib_metadata 8.5.0
importlib_resources 6.4.0
inflect 7.3.1
jaraco.collections 5.1.0
jaraco.context 5.3.0
jaraco.functools 4.0.1
jaraco.text 3.12.1
Jinja2 3.1.4
kiwisolver 1.4.7
lazy_loader 0.4
llvmlite 0.43.0
lmdb 1.5.1
Markdown 3.7
MarkupSafe 3.0.2
matplotlib 3.9.2
more-itertools 10.3.0
mpmath 1.3.0
networkx 3.4.2
numba 0.60.0
numpy 1.26.4
nvidia-cublas-cu12 12.1.3.1
nvidia-cuda-cupti-cu12 12.1.105
nvidia-cuda-nvrtc-cu12 12.1.105
nvidia-cuda-runtime-cu12 12.1.105
nvidia-cudnn-cu12 8.9.2.26
nvidia-cufft-cu12 11.0.2.54
nvidia-curand-cu12 10.3.2.106
nvidia-cusolver-cu12 11.4.5.107
nvidia-cusparse-cu12 12.1.0.106
nvidia-nccl-cu12 2.19.3
nvidia-nvjitlink-cu12 12.6.77
nvidia-nvtx-cu12 12.1.105
opencv-python 4.10.0.84
packaging 24.1
pillow 11.0.0
pip 24.2
platformdirs 4.3.6
protobuf 5.28.3
pyparsing 3.2.0
python-dateutil 2.9.0.post0
PyYAML 6.0.2
realesrgan 0.3.0 /home/xiaomeng/Real-ESRGAN
requests 2.32.3
scikit-image 0.24.0
scipy 1.14.1
setuptools 75.1.0
six 1.16.0
sympy 1.13.3
tb-nightly 2.19.0a20241101
tensorboard-data-server 0.7.2
tifffile 2024.9.20
tomli 2.0.2
torch 2.2.2
torchaudio 2.2.2
torchvision 0.17.2
tqdm 4.66.6
triton 2.2.0
typeguard 4.3.0
typing_extensions 4.12.2
urllib3 2.2.3
Werkzeug 3.1.1
wheel 0.44.0
yapf 0.40.2
zipp 3.20.2

[quentalt]

@xm1085 it's a colonoscopy, lol i joke, I would also have liked a link to a direct use but hey...