Merge branch 'master' into jk/remove-unused-code
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guill 2026-01-30 10:08:33 -08:00 committed by GitHub
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@ -56,7 +56,7 @@ class EmptyHunyuanLatentVideo(io.ComfyNode):
@classmethod @classmethod
def execute(cls, width, height, length, batch_size=1) -> io.NodeOutput: 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()) 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 generate = execute # TODO: remove
@ -73,7 +73,7 @@ class EmptyHunyuanVideo15Latent(EmptyHunyuanLatentVideo):
def execute(cls, width, height, length, batch_size=1) -> io.NodeOutput: def execute(cls, width, height, length, batch_size=1) -> io.NodeOutput:
# Using scale factor of 16 instead of 8 # 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()) 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): class HunyuanVideo15ImageToVideo(io.ComfyNode):