diff --git a/api_server/routes/internal/internal_routes.py b/api_server/routes/internal/internal_routes.py
index 613b0f7c7..b224306da 100644
--- a/api_server/routes/internal/internal_routes.py
+++ b/api_server/routes/internal/internal_routes.py
@@ -58,8 +58,13 @@ class InternalRoutes:
                 return web.json_response({"error": "Invalid directory type"}, status=400)
 
             directory = get_directory_by_type(directory_type)
+
+            def is_visible_file(entry: os.DirEntry) -> bool:
+                """Filter out hidden files (e.g., .DS_Store on macOS)."""
+                return entry.is_file() and not entry.name.startswith('.')
+
             sorted_files = sorted(
-                (entry for entry in os.scandir(directory) if entry.is_file()),
+                (entry for entry in os.scandir(directory) if is_visible_file(entry)),
                 key=lambda entry: -entry.stat().st_mtime
             )
             return web.json_response([entry.name for entry in sorted_files], status=200)
diff --git a/comfy/sd.py b/comfy/sd.py
index a16f2d14f..1cad98aef 100644
--- a/comfy/sd.py
+++ b/comfy/sd.py
@@ -549,8 +549,10 @@ class VAE:
                     ddconfig = {"dim": dim, "z_dim": self.latent_channels, "dim_mult": [1, 2, 4, 4], "num_res_blocks": 2, "attn_scales": [], "temperal_downsample": [False, True, True], "dropout": 0.0}
                     self.first_stage_model = comfy.ldm.wan.vae.WanVAE(**ddconfig)
                     self.working_dtypes = [torch.bfloat16, torch.float16, torch.float32]
-                    self.memory_used_encode = lambda shape, dtype: 6000 * shape[3] * shape[4] * model_management.dtype_size(dtype)
-                    self.memory_used_decode = lambda shape, dtype: 7000 * shape[3] * shape[4] * (8 * 8) * model_management.dtype_size(dtype)
+                    self.memory_used_encode = lambda shape, dtype: (1500 if shape[2]<=4 else 6000) * shape[3] * shape[4] * model_management.dtype_size(dtype)
+                    self.memory_used_decode = lambda shape, dtype: (2200 if shape[2]<=4 else 7000) * shape[3] * shape[4] * (8*8) * model_management.dtype_size(dtype)
+
+
             # Hunyuan 3d v2 2.0 & 2.1
             elif "geo_decoder.cross_attn_decoder.ln_1.bias" in sd:
 
diff --git a/comfy/supported_models.py b/comfy/supported_models.py
index 04bc53162..790ef0814 100644
--- a/comfy/supported_models.py
+++ b/comfy/supported_models.py
@@ -541,7 +541,7 @@ class SD3(supported_models_base.BASE):
     unet_extra_config = {}
     latent_format = latent_formats.SD3
 
-    memory_usage_factor = 1.2
+    memory_usage_factor = 1.6
 
     text_encoder_key_prefix = ["text_encoders."]
 
@@ -1026,7 +1026,7 @@ class ZImage(Lumina2):
         "shift": 3.0,
     }
 
-    memory_usage_factor = 1.7
+    memory_usage_factor = 2.0
 
     supported_inference_dtypes = [torch.bfloat16, torch.float16, torch.float32]
 
diff --git a/comfy_api/latest/_io.py b/comfy_api/latest/_io.py
index 313a5af20..79217c813 100644
--- a/comfy_api/latest/_io.py
+++ b/comfy_api/latest/_io.py
@@ -1815,7 +1815,7 @@ class NodeOutput(_NodeOutputInternal):
             ui = data["ui"]
         if "expand" in data:
             expand = data["expand"]
-        return cls(args=args, ui=ui, expand=expand)
+        return cls(*args, ui=ui, expand=expand)
 
     def __getitem__(self, index) -> Any:
         return self.args[index]
diff --git a/comfy_api_nodes/nodes_kling.py b/comfy_api_nodes/nodes_kling.py
index 6c840dc47..a2cc87d84 100644
--- a/comfy_api_nodes/nodes_kling.py
+++ b/comfy_api_nodes/nodes_kling.py
@@ -2056,7 +2056,7 @@ class KlingExtension(ComfyExtension):
             OmniProImageToVideoNode,
             OmniProVideoToVideoNode,
             OmniProEditVideoNode,
-            # OmniProImageNode,  # need support from backend
+            OmniProImageNode,
         ]