From d1f098540ad1dbc2abb8d04322634efba650b631 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Fri, 30 Sep 2022 11:42:40 +0300
Subject: remove unwanted formatting/functionality from the PR

---
 modules/realesrgan_model.py | 12 ++++--------
 1 file changed, 4 insertions(+), 8 deletions(-)

(limited to 'modules/realesrgan_model.py')

diff --git a/modules/realesrgan_model.py b/modules/realesrgan_model.py
index 0a2eb896..dc0123e0 100644
--- a/modules/realesrgan_model.py
+++ b/modules/realesrgan_model.py
@@ -88,28 +88,24 @@ def get_realesrgan_models(scaler):
         models = [
             UpscalerData(
                 name="R-ESRGAN General 4xV3",
-                path="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3"
-                     ".pth",
+                path="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth",
                 scale=4,
                 upscaler=scaler,
-                model=lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=32, upscale=4,
-                                              act_type='prelu')
+                model=lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=32, upscale=4, act_type='prelu')
             ),
             UpscalerData(
                 name="R-ESRGAN General WDN 4xV3",
                 path="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-wdn-x4v3.pth",
                 scale=4,
                 upscaler=scaler,
-                model=lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=32, upscale=4,
-                                              act_type='prelu')
+                model=lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=32, upscale=4, act_type='prelu')
             ),
             UpscalerData(
                 name="R-ESRGAN AnimeVideo",
                 path="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-animevideov3.pth",
                 scale=4,
                 upscaler=scaler,
-                model=lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=16, upscale=4,
-                                              act_type='prelu')
+                model=lambda: SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=16, upscale=4, act_type='prelu')
             ),
             UpscalerData(
                 name="R-ESRGAN 4x+",
-- 
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