comfy/cldm/cldm.py

@@ -413,8 +413,7 @@ class ControlNet(nn.Module):
         out_middle = []
 
         if self.num_classes is not None:
-            if y is None:
-                raise ValueError("y is None, did you try using a controlnet for SDXL on SD1?")
+            assert y.shape[0] == x.shape[0]
             emb = emb + self.label_emb(y)
 
         h = x

comfy_extras/nodes_hunyuan.py

@@ -38,7 +38,6 @@ class EmptyHunyuanLatentVideo(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="EmptyHunyuanLatentVideo",
-            display_name="Empty HunyuanVideo 1.0 Latent",
             category="latent/video",
             inputs=[
                 io.Int.Input("width", default=848, min=16, max=nodes.MAX_RESOLUTION, step=16),
@@ -64,7 +63,6 @@ class EmptyHunyuanVideo15Latent(EmptyHunyuanLatentVideo):
     def define_schema(cls):
         schema = super().define_schema()
         schema.node_id = "EmptyHunyuanVideo15Latent"
-        schema.display_name = "Empty HunyuanVideo 1.5 Latent"
         return schema
 
     @classmethod
@@ -73,6 +71,8 @@ class EmptyHunyuanVideo15Latent(EmptyHunyuanLatentVideo):
         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})
 
+    generate = execute  # TODO: remove
+
 
 class HunyuanVideo15ImageToVideo(io.ComfyNode):
     @classmethod

requirements.txt

@@ -1,5 +1,5 @@
 comfyui-frontend-package==1.30.6
-comfyui-workflow-templates==0.7.9
+comfyui-workflow-templates==0.6.0
 comfyui-embedded-docs==0.3.1
 torch
 torchsde