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convert nodes_mochi.py to V3 schema (#10069)

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Alexander Piskun 2025-09-29 22:03:35 +03:00 committed by GitHub
parent 05a258efd8
commit b1111c2062
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1 changed files with 33 additions and 16 deletions
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49
comfy_extras/nodes_mochi.py
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@ -1,23 +1,40 @@
import nodes
from typing_extensions import override
import torch
import comfy.model_management
import nodes
from comfy_api.latest import ComfyExtension, io
class EmptyMochiLatentVideo:
class EmptyMochiLatentVideo(io.ComfyNode):
@classmethod
def INPUT_TYPES(s):
return {"required": { "width": ("INT", {"default": 848, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}),
"height": ("INT", {"default": 480, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}),
"length": ("INT", {"default": 25, "min": 7, "max": nodes.MAX_RESOLUTION, "step": 6}),
"batch_size": ("INT", {"default": 1, "min": 1, "max": 4096})}}
RETURN_TYPES = ("LATENT",)
FUNCTION = "generate"
def define_schema(cls):
return io.Schema(
node_id="EmptyMochiLatentVideo",
category="latent/video",
inputs=[
io.Int.Input("width", default=848, min=16, max=nodes.MAX_RESOLUTION, step=16),
io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16),
io.Int.Input("length", default=25, min=7, max=nodes.MAX_RESOLUTION, step=6),
io.Int.Input("batch_size", default=1, min=1, max=4096),
],
outputs=[
io.Latent.Output(),
],
)
CATEGORY = "latent/video"
def generate(self, width, height, length, batch_size=1):
@classmethod
def execute(cls, width, height, length, batch_size=1) -> io.NodeOutput:
latent = torch.zeros([batch_size, 12, ((length - 1) // 6) + 1, height // 8, width // 8], device=comfy.model_management.intermediate_device())
return ({"samples":latent}, )
return io.NodeOutput({"samples": latent})
NODE_CLASS_MAPPINGS = {
"EmptyMochiLatentVideo": EmptyMochiLatentVideo,
}
class MochiExtension(ComfyExtension):
@override
async def get_node_list(self) -> list[type[io.ComfyNode]]:
return [
EmptyMochiLatentVideo,
]
async def comfy_entrypoint() -> MochiExtension:
return MochiExtension()