Compare commits

..

2 Commits

Author SHA1 Message Date
LaVie024
1c11c8a0af
Merge 2cb22c9afd into bbe2c13a70 2026-01-30 14:35:23 +05:00
comfyanonymous
bbe2c13a70
Make empty hunyuan latent 1.0 work with the 1.5 model. (#12171)
Some checks are pending
Execution Tests / test (macos-latest) (push) Waiting to run
Execution Tests / test (ubuntu-latest) (push) Waiting to run
Execution Tests / test (windows-latest) (push) Waiting to run
Python Linting / Run Ruff (push) Waiting to run
Test server launches without errors / test (push) Waiting to run
Python Linting / Run Pylint (push) Waiting to run
Unit Tests / test (macos-latest) (push) Waiting to run
Full Comfy CI Workflow Runs / test-stable (12.1, , linux, 3.10, [self-hosted Linux], stable) (push) Waiting to run
Unit Tests / test (ubuntu-latest) (push) Waiting to run
Full Comfy CI Workflow Runs / test-stable (12.1, , linux, 3.11, [self-hosted Linux], stable) (push) Waiting to run
Unit Tests / test (windows-2022) (push) Waiting to run
Full Comfy CI Workflow Runs / test-stable (12.1, , linux, 3.12, [self-hosted Linux], stable) (push) Waiting to run
Full Comfy CI Workflow Runs / test-unix-nightly (12.1, , linux, 3.11, [self-hosted Linux], nightly) (push) Waiting to run
2026-01-29 23:52:22 -05:00

View File

@ -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):