From 125d5c8d96eb374a7ba214dba51da9cf30da6564 Mon Sep 17 00:00:00 2001
From: invincibledude <>
Date: Sun, 22 Jan 2023 15:31:11 +0300
Subject: [PATCH] hr conditioning

---
 modules/processing.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index bab1c101..f0073d1a 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -235,7 +235,7 @@ class StableDiffusionProcessing:
     def init(self, all_prompts, all_seeds, all_subseeds):
         pass
 
-    def sample(self, conditioning, unconditional_conditioning, hr_conditioning=None, hr_unconditional_conditioning=None, seeds, subseeds, subseed_strength, prompts):
+    def sample(self, conditioning, unconditional_conditioning, seeds, subseeds, subseed_strength, prompts, hr_conditioning=None, hr_unconditional_conditioning=None):
         raise NotImplementedError()
 
     def close(self):
@@ -838,7 +838,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
             if self.hr_upscaler is not None:
                 self.extra_generation_params["Hires upscaler"] = self.hr_upscaler
 
-    def sample(self, conditioning, unconditional_conditioning, hr_conditioning, hr_unconditional_conditioning, seeds, subseeds, subseed_strength, prompts):
+    def sample(self, conditioning, unconditional_conditioning, seeds, subseeds, subseed_strength, prompts, hr_conditioning=None, hr_unconditional_conditioning=None):
         self.sampler = sd_samplers.create_sampler(self.sampler_name, self.sd_model)
 
         latent_scale_mode = shared.latent_upscale_modes.get(self.hr_upscaler, None) if self.hr_upscaler is not None else shared.latent_upscale_modes.get(shared.latent_upscale_default_mode, "nearest")