diff --git a/installer.py b/installer.py
index b4bfb7444..1376a5d33 100644
--- a/installer.py
+++ b/installer.py
@@ -186,6 +186,8 @@ def install(package, friendly: str = None, ignore: bool = False):
     if args.reinstall or args.upgrade:
         global quick_allowed # pylint: disable=global-statement
         quick_allowed = False
+    if args.use_ipex and "accelerate==" in package:
+        package = "accelerate==0.20.3"
     if args.reinstall or not installed(package, friendly):
         pip(f"install --upgrade {package}", ignore=ignore)
 
diff --git a/modules/lora_diffusers.py b/modules/lora_diffusers.py
index 816ff788b..f8ab54dde 100644
--- a/modules/lora_diffusers.py
+++ b/modules/lora_diffusers.py
@@ -58,7 +58,7 @@ def load_diffusers_lora(name, lora, strength = 1.0):
             if shared.opts.diffusers_lora_loader == "merge and apply":
                 lora_network.merge_to(multiplier=strength)
             if shared.opts.diffusers_lora_loader == "sequential apply":
-                lora_network.to(pipe.device, dtype=pipe.unet.dtype)
+                lora_network.to(shared.device, dtype=pipe.unet.dtype)
                 lora_network.apply_to(multiplier=strength)
             lora_state['all_loras'].append(lora_network)
             shared.log.info(f"Diffusers LoRA loaded: {name} {strength}")
diff --git a/modules/prompt_parser_diffusers.py b/modules/prompt_parser_diffusers.py
index be9f17fff..559845059 100644
--- a/modules/prompt_parser_diffusers.py
+++ b/modules/prompt_parser_diffusers.py
@@ -3,7 +3,6 @@ import typing
 import torch
 import diffusers
 from compel import Compel, ReturnedEmbeddingsType
-import modules.devices as devices
 import modules.shared as shared
 import modules.prompt_parser as prompt_parser
 
@@ -55,9 +54,10 @@ def compel_encode_prompts(
         negative_pooleds.append(negative_pooled)
 
     prompt_embeds = torch.cat(prompt_embeds, dim=0)
-    positive_pooleds = torch.cat(positive_pooleds, dim=0)
     negative_embeds = torch.cat(negative_embeds, dim=0)
-    negative_pooleds = torch.cat(negative_pooleds, dim=0)
+    if shared.sd_model_type == "sdxl":
+        positive_pooleds = torch.cat(positive_pooleds, dim=0)
+        negative_pooleds = torch.cat(negative_pooleds, dim=0)
     return prompt_embeds, positive_pooleds, negative_embeds, negative_pooleds
 
 
@@ -94,7 +94,7 @@ def compel_encode_prompt(
         text_encoder=pipeline.text_encoder,
         returned_embeddings_type=embedding_type,
         requires_pooled=False,
-        device=devices.device
+        device=shared.device
     )
 
     if shared.sd_model_type == "sdxl":
@@ -103,7 +103,7 @@ def compel_encode_prompt(
             text_encoder=pipeline.text_encoder_2,
             returned_embeddings_type=embedding_type,
             requires_pooled=True,
-            device=devices.device
+            device=shared.device
         )
         if not is_refiner:
             positive_te1 = compel_te1(prompt)