moved NoisyLatentImage class to comfy extras

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Saquib Alam 2023-08-04 01:47:08 +05:30 committed by GitHub
parent 757398bc65
commit 98c99d67c2
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import torch
class NoisyLatentImage:
def __init__(self, device="cpu"):
self.device = device
@classmethod
def INPUT_TYPES(s):
return {"required": {
"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
"width": ("INT", {"default": 512, "min": 64, "max": MAX_RESOLUTION, "step": 8}),
"height": ("INT", {"default": 512, "min": 64, "max": MAX_RESOLUTION, "step": 8}),
"batch_size": ("INT", {"default": 1, "min": 1, "max": 64})}}
RETURN_TYPES = ("LATENT",)
FUNCTION = "generate"
CATEGORY = "latent"
def generate(self, seed, width, height, batch_size=1):
generator = torch.manual_seed(seed)
latent = torch.randn([batch_size, 4, height // 8, width // 8], generator=generator, device=self.device)
return ({"samples":latent}, )
NODE_CLASS_MAPPINGS = {
"Noisy Latent Image": NoisyLatentImage,
}
NODE_DISPLAY_NAME_MAPPINGS = {
"NoisyLatentImage": "Noisy Latent Image"
}