diff --git a/html/locale_en.json b/html/locale_en.json
index 925d935da..c67068070 100644
--- a/html/locale_en.json
+++ b/html/locale_en.json
@@ -570,7 +570,7 @@
   {"id":"","label":"Use model EMA weights when possible","localized":"","hint":""},
   {"id":"","label":"Generator device","localized":"","hint":""},
   {"id":"","label":"Enable sequential CPU offload","localized":"","hint":"Reduces GPU memory usage by transferring weights to the CPU. Increases inference time approximately 10%. Use with Enable Attention slicing for minimal memory consumption"},
-  {"id":"","label":"Enable model CPU offload","localized":"","hint":"Transferring of entire models to the GPU, negligible impact on inference time while still providing some memory savings. Use with Enable Attention slicing for additional memory savings"},
+  {"id":"","label":"Enable model CPU offload","localized":"","hint":"Transferring of entire models to the CPU, negligible impact on inference time while still providing some memory savings. Use with Enable Attention slicing for additional memory savings"},
   {"id":"","label":"Enable VAE slicing","localized":"","hint":"Decodes batch latents one image at a time with limited VRAM. Small performance boost in VAE decode on multi-image batches. Use with Enable Attention slicing"},
   {"id":"","label":"Enable VAE tiling","localized":"","hint":"Divide large images into overlapping tiles with limited VRAM. Might result in a minor increase in processing time. Use with Enable Attention Slicing"},
   {"id":"","label":"Enable attention slicing","localized":"","hint":"Performs attention computation in steps instead of all at once. 10% slower inference times. Greatly reduces memory usage. Best used, period"},
diff --git a/modules/ipex_specific/__init__.py b/modules/ipex_specific/__init__.py
index 19b0d8860..b71027b35 100644
--- a/modules/ipex_specific/__init__.py
+++ b/modules/ipex_specific/__init__.py
@@ -37,9 +37,10 @@ def ipex_init():
     torch.cuda.stream = torch.xpu.stream
     torch.cuda.synchronize = torch.xpu.synchronize
     torch.cuda.Event = torch.xpu.Event
+    torch.cuda.Stream = torch.xpu.Stream
+    torch.cuda.FloatTensor = torch.xpu.FloatTensor
     torch.Tensor.cuda = torch.Tensor.xpu
     torch.Tensor.is_cuda = torch.Tensor.is_xpu
-    torch.cuda.Stream = torch.xpu.Stream
 
     #Memory:
     torch.cuda.empty_cache = torch.xpu.empty_cache