diff --git a/modules/api/api.py b/modules/api/api.py
index d33a81834..1f60e5c01 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -667,7 +667,7 @@ class Api:
                     "enabled":ext.enabled
                 })
         return ext_list
-    
+
     def launch(self):
         config = {
             "listen": shared.cmd_opts.listen,
diff --git a/modules/processing.py b/modules/processing.py
index deaf81ac5..156a33810 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -697,6 +697,8 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
         p.scripts.before_process(p)
     stored_opts = {}
     for k, v in p.override_settings.copy().items():
+        if shared.opts.data.get(k, None) is None and shared.opts.data_labels.get(k, None) is None:
+            continue
         orig = shared.opts.data.get(k, None) or shared.opts.data_labels[k].default
         if orig == v or (type(orig) == str and os.path.splitext(orig)[0] == v):
             p.override_settings.pop(k, None)
diff --git a/modules/processing_diffusers.py b/modules/processing_diffusers.py
index 15e3bc3b8..73c3fcc09 100644
--- a/modules/processing_diffusers.py
+++ b/modules/processing_diffusers.py
@@ -314,14 +314,14 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
                 if os.environ.get('SD_PROMPT_DEBUG', None) is not None:
                     errors.display(e, 'Prompt parser encode')
         if 'prompt' in possible:
-            if hasattr(model, 'text_encoder') and 'prompt_embeds' in possible and p.prompt_embeds[0] is not None:
+            if hasattr(model, 'text_encoder') and 'prompt_embeds' in possible and len(p.prompt_embeds) > 0 and p.prompt_embeds[0] is not None:
                 args['prompt_embeds'] = p.prompt_embeds[0]
                 if 'XL' in model.__class__.__name__:
                     args['pooled_prompt_embeds'] = p.positive_pooleds[0]
             else:
                 args['prompt'] = prompts
         if 'negative_prompt' in possible:
-            if hasattr(model, 'text_encoder') and 'negative_prompt_embeds' in possible and p.negative_embeds[0] is not None:
+            if hasattr(model, 'text_encoder') and 'negative_prompt_embeds' in possible and len(p.negative_embeds) > 0 and p.negative_embeds[0] is not None:
                 args['negative_prompt_embeds'] = p.negative_embeds[0]
                 if 'XL' in model.__class__.__name__:
                     args['negative_pooled_prompt_embeds'] = p.negative_pooleds[0]
diff --git a/modules/prompt_parser_diffusers.py b/modules/prompt_parser_diffusers.py
index ae5acb8f6..f29a19b6d 100644
--- a/modules/prompt_parser_diffusers.py
+++ b/modules/prompt_parser_diffusers.py
@@ -1,4 +1,5 @@
 import os
+import time
 import typing
 import torch
 from compel import ReturnedEmbeddingsType
@@ -59,12 +60,16 @@ class DiffusersTextualInversionManager(BaseTextualInversionManager):
         return self.pipe.tokenizer.encode(prompt, add_special_tokens=False)
 
 def get_prompt_schedule(p, prompt, steps):
+    t0 = time.time()
     temp = []
     schedule = prompt_parser.get_learned_conditioning_prompt_schedules([prompt], steps)[0]
+    if all(x == schedule[0] for x in schedule):
+        return [prompt], False
     for chunk in schedule:
         for s in range(steps):
             if len(temp) < s + 1 <= chunk[0]:
                 temp.append(chunk[1])
+    debug(f'Prompt: schedule={temp} time={time.time()-t0}')
     return temp, len(schedule) > 1
 
 def encode_prompts(pipe, p,  prompts: list, negative_prompts: list, steps: int, step: int = 1, clip_skip: typing.Optional[int] = None):