diff --git a/comfy/model_management.py b/comfy/model_management.py
index 052dfb77521..f0b8be55e84 100644
--- a/comfy/model_management.py
+++ b/comfy/model_management.py
@@ -5,6 +5,7 @@
 NORMAL_VRAM = 3
 HIGH_VRAM = 4
 MPS = 5
+XPU = 6
 
 accelerate_enabled = False
 vram_state = NORMAL_VRAM
@@ -85,10 +86,17 @@
 except:
     pass
 
+try:
+    import intel_extension_for_pytorch
+    if torch.xpu.is_available():
+        vram_state = XPU
+except:
+    pass
+
 if forced_cpu:
     vram_state = CPU
 
-print("Set vram state to:", ["CPU", "NO VRAM", "LOW VRAM", "NORMAL VRAM", "HIGH VRAM", "MPS"][vram_state])
+print("Set vram state to:", ["CPU", "NO VRAM", "LOW VRAM", "NORMAL VRAM", "HIGH VRAM", "MPS", "XPU"][vram_state])
 
 
 current_loaded_model = None
@@ -141,6 +149,9 @@ def load_model_gpu(model):
         mps_device = torch.device("mps")
         real_model.to(mps_device)
         pass
+    elif vram_state == XPU:
+        real_model.to("xpu")
+        pass
     elif vram_state == NORMAL_VRAM or vram_state == HIGH_VRAM:
         model_accelerated = False
         real_model.cuda()
@@ -189,6 +200,8 @@ def unload_if_low_vram(model):
 def get_torch_device():
     if vram_state == MPS:
         return torch.device("mps")
+    if vram_state == XPU:
+        return torch.device("xpu")
     if vram_state == CPU:
         return torch.device("cpu")
     else:
@@ -228,6 +241,9 @@ def get_free_memory(dev=None, torch_free_too=False):
     if hasattr(dev, 'type') and (dev.type == 'cpu' or dev.type == 'mps'):
         mem_free_total = psutil.virtual_memory().available
         mem_free_torch = mem_free_total
+    elif hasattr(dev, 'type') and (dev.type == 'xpu'):
+        mem_free_total = torch.xpu.get_device_properties(dev).total_memory - torch.xpu.memory_allocated(dev)
+        mem_free_torch = mem_free_total
     else:
         stats = torch.cuda.memory_stats(dev)
         mem_active = stats['active_bytes.all.current']
@@ -258,8 +274,12 @@ def mps_mode():
     global vram_state
     return vram_state == MPS
 
+def xpu_mode():
+    global vram_state
+    return vram_state == XPU
+
 def should_use_fp16():
-    if cpu_mode() or mps_mode():
+    if cpu_mode() or mps_mode() or xpu_mode():
         return False #TODO ?
 
     if torch.cuda.is_bf16_supported():