Gen params paste improvement

modules/generation_parameters_copypaste.py

@@ -269,9 +269,9 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model
             res[k] = v
 
         if k.startswith("Hires prompt"):
-            res["Hires prompt"] = v[1:][:-1]
+            res["Hires prompt"] = v[1:][:-1].replace(';', ',')
         elif k.startswith("Hires negative prompt"):
-            res["Hires negative prompt"] = v[1:][:-1]
+            res["Hires negative prompt"] = v[1:][:-1].replace(';', ',')
 
     # Missing CLIP skip means it was set to 1 (the default)
     if "Clip skip" not in res:

modules/processing.py

@@ -790,8 +790,8 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
             if self.hr_resize_x == 0 and self.hr_resize_y == 0:
                 self.extra_generation_params["Hires upscale"] = self.hr_scale
                 self.extra_generation_params["Hires sampler"] = self.hr_sampler
-                self.extra_generation_params["Hires prompt"] = f'"{self.hr_prompt}"'
-                self.extra_generation_params["Hires negative prompt"] = f'"{self.hr_negative_prompt}"'
+                self.extra_generation_params["Hires prompt"] = f'({self.hr_prompt.replace(",", ";")})'
+                self.extra_generation_params["Hires negative prompt"] = f'({self.hr_negative_prompt.replace(",", ";")})'
                 self.hr_upscale_to_x = int(self.width * self.hr_scale)
                 self.hr_upscale_to_y = int(self.height * self.hr_scale)
             else: