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Merge pull request #1 from Saquib764/Saquib764-patch-1

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Added NoisyLatentImage node in  nodes.py
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Saquib Alam 2023-08-04 01:24:56 +05:30 committed by GitHub
commit 546aa4abc4
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1 changed files with 21 additions and 0 deletions
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nodes.py
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@ -871,6 +871,27 @@ class EmptyLatentImage:
latent = torch.zeros([batch_size, 4, height // 8, width // 8]) latent = torch.zeros([batch_size, 4, height // 8, width // 8])
return ({"samples":latent}, ) return ({"samples":latent}, )
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}, )
class LatentFromBatch: class LatentFromBatch:
@classmethod @classmethod