diff options
| author | AUTOMATIC <16777216c@gmail.com> | 2022-09-30 11:42:40 +0300 |
|---|---|---|
| committer | AUTOMATIC <16777216c@gmail.com> | 2022-09-30 11:42:40 +0300 |
| commit | d1f098540ad1dbc2abb8d04322634efba650b631 (patch) | |
| tree | 2c5cd3088177c938d643ed5430f7e2c38cdc2209 /modules/realesrgan_model.py | |
| parent | 2552204fcb04c13af93749bd125d086ba148517c (diff) | |
remove unwanted formatting/functionality from the PR
Diffstat (limited to 'modules/realesrgan_model.py')
| -rw-r--r-- | modules/realesrgan_model.py | 12 |
1 files changed, 4 insertions, 8 deletions
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+",
|