Move nodes_mochi.py

This commit is contained in:
doctorpangloss 2024-10-29 15:36:33 -07:00
parent 76a80a65ea
commit ea5078f7f2

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@ -1,6 +1,8 @@
import nodes
import torch
import comfy.model_management
from comfy.nodes.common import MAX_RESOLUTION
class EmptyMochiLatentVideo:
def __init__(self):
@ -8,10 +10,11 @@ class EmptyMochiLatentVideo:
@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 {"required": {"width": ("INT", {"default": 848, "min": 16, "max": MAX_RESOLUTION, "step": 16}),
"height": ("INT", {"default": 480, "min": 16, "max": MAX_RESOLUTION, "step": 16}),
"length": ("INT", {"default": 25, "min": 7, "max": MAX_RESOLUTION, "step": 6}),
"batch_size": ("INT", {"default": 1, "min": 1, "max": 4096})}}
RETURN_TYPES = ("LATENT",)
FUNCTION = "generate"
@ -19,7 +22,8 @@ class EmptyMochiLatentVideo:
def generate(self, width, height, length, batch_size=1):
latent = torch.zeros([batch_size, 12, ((length - 1) // 6) + 1, height // 8, width // 8], device=self.device)
return ({"samples":latent}, )
return ({"samples": latent},)
NODE_CLASS_MAPPINGS = {
"EmptyMochiLatentVideo": EmptyMochiLatentVideo,