Merge cc592e9896 into bbe2c13a70

Move count increment before isinstance(item, dict) check so that
non-dict output items (like text strings from PreviewAny node)
are included in outputs_count.

This aligns OSS Python with Cloud's Go implementation which uses
len(itemsArray) to count ALL items regardless of type.

Amp-Thread-ID: https://ampcode.com/threads/T-019c0bb5-14e0-744f-8808-1e57653f3ae3

Co-authored-by: Amp <amp@ampcode.com>

comfy_api/latest/_io.py

@@ -1146,6 +1146,20 @@ class ImageCompare(ComfyTypeI):
       def as_dict(self):
           return super().as_dict()
 
+
+@comfytype(io_type="COLOR")
+class Color(ComfyTypeI):
+  Type = str
+
+  class Input(WidgetInput):
+      def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None,
+                   socketless: bool=True, advanced: bool=None, default: str="#ffffff"):
+          super().__init__(id, display_name, optional, tooltip, None, default, socketless, None, None, None, None, advanced)
+          self.default: str
+
+      def as_dict(self):
+          return super().as_dict()
+
 DYNAMIC_INPUT_LOOKUP: dict[str, Callable[[dict[str, Any], dict[str, Any], tuple[str, dict[str, Any]], str, list[str] | None], None]] = {}
 def register_dynamic_input_func(io_type: str, func: Callable[[dict[str, Any], dict[str, Any], tuple[str, dict[str, Any]], str, list[str] | None], None]):
     DYNAMIC_INPUT_LOOKUP[io_type] = func
@@ -2099,6 +2113,7 @@ __all__ = [
     "AnyType",
     "MultiType",
     "Tracks",
+    "Color",
     # Dynamic Types
     "MatchType",
     "DynamicCombo",

comfy_execution/jobs.py

@@ -171,9 +171,10 @@ def get_outputs_summary(outputs: dict) -> tuple[int, Optional[dict]]:
                 continue
 
             for item in items:
+                count += 1
+
                 if not isinstance(item, dict):
                     continue
-                count += 1
 
                 if preview_output is None and is_previewable(media_type, item):
                     enriched = {

comfy_extras/nodes_color.py

@@ -0,0 +1,42 @@
+from typing_extensions import override
+from comfy_api.latest import ComfyExtension, io
+
+
+class ColorToRGBInt(io.ComfyNode):
+    @classmethod
+    def define_schema(cls) -> io.Schema:
+        return io.Schema(
+            node_id="ColorToRGBInt",
+            display_name="Color to RGB Int",
+            category="utils",
+            description="Convert a color to a RGB integer value.",
+            inputs=[
+                io.Color.Input("color"),
+            ],
+            outputs=[
+                io.Int.Output(display_name="rgb_int"),
+            ],
+        )
+
+    @classmethod
+    def execute(
+        cls,
+        color: str,
+    ) -> io.NodeOutput:
+        # expect format #RRGGBB
+        if len(color) != 7 or color[0] != "#":
+            raise ValueError("Color must be in format #RRGGBB")
+        r = int(color[1:3], 16)
+        g = int(color[3:5], 16)
+        b = int(color[5:7], 16)
+        return io.NodeOutput(r * 256 * 256 + g * 256 + b)
+
+
+class ColorExtension(ComfyExtension):
+    @override
+    async def get_node_list(self) -> list[type[io.ComfyNode]]:
+        return [ColorToRGBInt]
+
+
+async def comfy_entrypoint() -> ColorExtension:
+    return ColorExtension()

comfy_extras/nodes_hunyuan.py

@@ -56,7 +56,7 @@ class EmptyHunyuanLatentVideo(io.ComfyNode):
     @classmethod
     def execute(cls, width, height, length, batch_size=1) -> io.NodeOutput:
         latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device())
-        return io.NodeOutput({"samples":latent})
+        return io.NodeOutput({"samples": latent, "downscale_ratio_spacial": 8})
 
     generate = execute  # TODO: remove
 
@@ -73,7 +73,7 @@ class EmptyHunyuanVideo15Latent(EmptyHunyuanLatentVideo):
     def execute(cls, width, height, length, batch_size=1) -> io.NodeOutput:
         # Using scale factor of 16 instead of 8
         latent = torch.zeros([batch_size, 32, ((length - 1) // 4) + 1, height // 16, width // 16], device=comfy.model_management.intermediate_device())
-        return io.NodeOutput({"samples": latent})
+        return io.NodeOutput({"samples": latent, "downscale_ratio_spacial": 16})
 
 
 class HunyuanVideo15ImageToVideo(io.ComfyNode):

nodes.py

@@ -2432,7 +2432,8 @@ async def init_builtin_extra_nodes():
         "nodes_wanmove.py",
         "nodes_image_compare.py",
         "nodes_zimage.py",
-        "nodes_lora_debug.py"
+        "nodes_lora_debug.py",
+        "nodes_color.py"
     ]
 
     import_failed = []