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Author SHA1 Message Date
Sas van Gulik
634f04797c
Merge branch 'comfyanonymous:master' into feature/custom-node-paths-cli-args 2025-11-24 07:01:52 +01:00
comfyanonymous
cbd68e3d58
Add better error message for common error. (#10846)
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2025-11-23 04:55:22 -05:00
comfyanonymous
d89c29f259
Add display names to Hunyuan latent video nodes. (#10837)
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2025-11-22 22:51:53 -05:00
Christian Byrne
a9c35256bc
Update requirements.txt (#10834)
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2025-11-22 02:28:29 -08:00
3 changed files with 5 additions and 4 deletions

View File

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

View File

@ -38,6 +38,7 @@ 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),
@ -63,6 +64,7 @@ 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
@ -71,8 +73,6 @@ 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

View File

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