Update distorch_2.py: Add compatibility for GGUFModelPatcher and ModelPatcher lacking model_patches_models attribute

Some model patchers define only model_patches_to() and not model_patches_models(), 
which ComfyUI expects for dependency discovery. 
This patch adds a targeted fallback for GGUFModelPatcher and ModelPatcher 
to prevent AttributeError when model_patches_models() is missing.

Author: max-solo23

distorch_2.py

@@ -51,6 +51,21 @@ def patched_load_models_gpu(models, memory_required=0, force_patch_weights=False
             models_temp = set()
             for m in models:
                 models_temp.add(m)
+                model_type = type(m).__name__
+
+                if ("GGUF" in model_type or "ModelPatcher" in model_type) and hasattr(m, "model_patches_to"):
+                    print(f"[MultiGPU] {type(m).__name__} missing 'model_patches_models' attribute, using 'model_patches_to' fallback.")
+                    target_device = getattr(m, "load_device",
+                                            f"cuda:{torch.cuda.current_device()}" if torch.cuda.is_available() else "cpu")
+                    print(f"Target device: {target_device}")
+                    patches = m.model_patches_to(target_device)
+                    if patches:
+                        print(f"[MultiGPU] Found {len(patches)} mm_patch(es) for {type(m).__name__} on device {target_device}")
+                        for mm_patch in patches:
+                            print(f"[MultiGPU] Registering mm_patch: {type(mm_patch).__name__}")
+                            models_temp.add(mm_patch)
+                    continue
+                
                 for mm_patch in m.model_patches_models():
                     models_temp.add(mm_patch)
                 patches = m.model_patches_to(m.load_device)