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Proper latent channel count

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kijai 2025-11-19 00:38:16 +02:00 committed by comfyanonymous
parent fcd3a00d91
commit 8a45f558a9
1 changed files with 2 additions and 2 deletions
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4
comfy_extras/nodes_hunyuan.py
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@ -67,7 +67,7 @@ class EmptyHunyuanVideo15Latent(EmptyHunyuanLatentVideo):
@classmethod
def execute(cls, width, height, length, batch_size=1) -> io.NodeOutput:
# Using scale factor of 16 instead of 8
latent = torch.zeros([batch_size, 16, ((length - 1) // 4) + 1, height // 16, width // 16], device=comfy.model_management.intermediate_device())
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
@ -137,7 +137,7 @@ class HunyuanVideo15RefinerLatent(io.ComfyNode):
io.Image.Input("start_image", optional=True),
io.ClipVisionOutput.Input("clip_vision_output", optional=True),
io.Latent.Input("latent"),
io.Float.Input("noise_augmentation", default=0.10, min=0.0, max=1.0, step=0.01),
io.Float.Input("noise_augmentation", default=0.70, min=0.0, max=1.0, step=0.01),
],
outputs=[