:triangular_flag_on_post: **Updates**

- :white_check_mark: Add [V1.4 model](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth), which produces slightly more details and better identity than V1.3.

- :white_check_mark: Add **[V1.3 model](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth)**, which produces **more natural** restoration results, and better results on *very low-quality* / *high-quality* inputs. See more in [Model zoo](#european_castle-model-zoo), [Comparisons.md](Comparisons.md)

- :white_check_mark: Integrated to [Huggingface Spaces](https://huggingface.co/spaces) with [Gradio](https://github.com/gradio-app/gradio). See [Gradio Web Demo](https://huggingface.co/spaces/akhaliq/GFPGAN).

os.system(

'wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/RestoreFormer.pth -P ./gfpgan/weights'

)

# background enhancer with RealESRGAN

model = SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=32, upscale=4, act_type='prelu')

img: Path = Input(description='Input'),

version: str = Input(

description='GFPGAN version. v1.3: better quality. v1.4: more details and better identity.',

default='v1.4'),

scale: float = Input(description='Rescaling factor', default=2),

) -> Path:

print(img, version, scale, weight)

try:

extension = os.path.splitext(os.path.basename(str(img)))[1]

arch='RestoreFormer',

channel_multiplier=2,

bg_upsampler=self.upsampler)

try:

_, _, output = self.face_enhancer.enhance(