update upscalers

modules/postprocess/scunet_model.py

@@ -2,7 +2,7 @@ import PIL.Image
 import numpy as np
 import torch
 from rich.progress import Progress, TextColumn, BarColumn, TaskProgressColumn, TimeRemainingColumn, TimeElapsedColumn
-from modules import devices, script_callbacks
+from modules import devices
 from modules.postprocess.scunet_model_arch import SCUNet as net
 from modules.shared import opts, log, console, device
 from modules.upscaler import Upscaler
@@ -67,7 +67,7 @@ class UpscalerSCUNet(Upscaler):
         output = E.div_(W)
         return output
 
-    def do_upscale(self, img: PIL.Image.Image, selected_file): # pylint: disable=arguments-renamed
+    def do_upscale(self, img: PIL.Image.Image, selected_file):
         devices.torch_gc()
         model = self.load_model(selected_file)
         if model is None:

modules/postprocess/sdupscaler_model.py

@@ -6,7 +6,7 @@ from modules.upscaler import Upscaler, UpscalerData
 
 class UpscalerSD(Upscaler):
     def __init__(self, dirname): # pylint: disable=super-init-not-called
-        self.name = "StableDiffusion"
+        self.name = "SDUpscale"
         self.user_path = dirname
         if shared.backend != shared.Backend.DIFFUSERS:
             super().__init__()