diff --git a/modules/processing.py b/modules/processing.py
index 9cad05f2..f28e7212 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -685,10 +685,13 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
 
     def init(self, all_prompts, all_seeds, all_subseeds):
         if self.enable_hr:
-            if state.job_count == -1:
-                state.job_count = self.n_iter * 2
-            else:
+            if not state.processing_has_refined_job_count:
+                if state.job_count == -1:
+                    state.job_count = self.n_iter
+
+                shared.total_tqdm.updateTotal((self.steps + (self.hr_second_pass_steps or self.steps)) * state.job_count)
                 state.job_count = state.job_count * 2
+                state.processing_has_refined_job_count = True
 
             if self.hr_resize_x == 0 and self.hr_resize_y == 0:
                 self.extra_generation_params["Hires upscale"] = self.hr_scale
diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index e904d860..3851a77f 100644
--- a/modules/sd_samplers.py
+++ b/modules/sd_samplers.py
@@ -97,8 +97,9 @@ sampler_extra_params = {
 
 def setup_img2img_steps(p, steps=None):
     if opts.img2img_fix_steps or steps is not None:
-        steps = int((steps or p.steps) / min(p.denoising_strength, 0.999)) if p.denoising_strength > 0 else 0
-        t_enc = p.steps - 1
+        requested_steps = (steps or p.steps)
+        steps = int(requested_steps / min(p.denoising_strength, 0.999)) if p.denoising_strength > 0 else 0
+        t_enc = requested_steps - 1
     else:
         steps = p.steps
         t_enc = int(min(p.denoising_strength, 0.999) * steps)
diff --git a/modules/shared.py b/modules/shared.py
index 54a6ba23..04c545ee 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -153,6 +153,7 @@ class State:
     job = ""
     job_no = 0
     job_count = 0
+    processing_has_refined_job_count = False
     job_timestamp = '0'
     sampling_step = 0
     sampling_steps = 0
@@ -194,6 +195,7 @@ class State:
     def begin(self):
         self.sampling_step = 0
         self.job_count = -1
+        self.processing_has_refined_job_count = False
         self.job_no = 0
         self.job_timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
         self.current_latent = None
@@ -608,7 +610,7 @@ class TotalTQDM:
             return
         if self._tqdm is None:
             self.reset()
-        self._tqdm.total=new_total
+        self._tqdm.total = new_total
 
     def clear(self):
         if self._tqdm is not None: