diff --git a/comfy/model_management.py b/comfy/model_management.py
index 051062a90..c146eee11 100644
--- a/comfy/model_management.py
+++ b/comfy/model_management.py
@@ -214,7 +214,10 @@ def get_all_torch_devices(exclude_current=False):
     global cpu_state
     devices = []
     if cpu_state == CPUState.GPU:
-        if is_nvidia():
+        # NVIDIA + AMD/ROCm both expose their GPUs through torch.cuda.*;
+        # without the AMD arm, single-GPU ROCm users get an empty list
+        # which silently turns unload_all_models() into a no-op.
+        if is_nvidia() or is_amd():
             for i in range(torch.cuda.device_count()):
                 devices.append(torch.device("cuda", i))
         elif is_intel_xpu():
@@ -223,6 +226,14 @@ def get_all_torch_devices(exclude_current=False):
         elif is_ascend_npu():
             for i in range(torch.npu.device_count()):
                 devices.append(torch.device("npu", i))
+        elif is_mlu():
+            for i in range(torch.mlu.device_count()):
+                devices.append(torch.device("mlu", i))
+        else:
+            # Fallback for unhandled GPU backends (e.g. DirectML): at least
+            # report the current device so callers like unload_all_models()
+            # do not silently no-op.
+            devices.append(get_torch_device())
     else:
         devices.append(get_torch_device())
     if exclude_current:
diff --git a/main.py b/main.py
index 9933d11ee..9b22d1304 100644
--- a/main.py
+++ b/main.py
@@ -216,7 +216,14 @@ import comfy.memory_management
 import comfy.model_patcher
 
 if args.enable_dynamic_vram or (enables_dynamic_vram() and comfy.model_management.is_nvidia() and not comfy.model_management.is_wsl()):
-    if (not args.enable_dynamic_vram) and (comfy.model_management.torch_version_numeric < (2, 8)):
+    if not comfy.model_management.is_nvidia():
+        # The implicit auto-enable path is already gated by is_nvidia();
+        # this guard handles users who pass --enable-dynamic-vram explicitly
+        # on a non-NVIDIA system, where torch.cuda.device_count() below would
+        # either return 0 (silently disabling) or crash on backends that
+        # raise without CUDA. Be explicit and disable cleanly.
+        logging.warning("DynamicVRAM was requested but no NVIDIA GPU was detected. Falling back to legacy ModelPatcher.")
+    elif (not args.enable_dynamic_vram) and (comfy.model_management.torch_version_numeric < (2, 8)):
         logging.warning("Unsupported Pytorch detected. DynamicVRAM support requires Pytorch version 2.8 or later. Falling back to legacy ModelPatcher. VRAM estimates may be unreliable especially on Windows")
     elif comfy_aimdo.control.init_devices(range(torch.cuda.device_count())):
         if args.verbose == 'DEBUG':