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Update nodes.py

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kijai 2025-01-19 00:52:28 +02:00
parent 7b36368a74
commit 3f141b8f1c
1 changed files with 8 additions and 7 deletions
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15
nodes/nodes.py
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@ -1034,13 +1034,14 @@ class InjectNoiseToLatent:
CATEGORY = "KJNodes/noise"
def injectnoise(self, latents, strength, noise, normalize, average, mix_randn_amount=0, seed=None, mask=None):
samples = latents.copy()
if latents["samples"].shape != noise["samples"].shape:
samples = latents["samples"].clone().cpu()
noise = noise["samples"].clone().cpu()
if samples.shape != samples.shape:
raise ValueError("InjectNoiseToLatent: Latent and noise must have the same shape")
if average:
noised = (samples["samples"].clone() + noise["samples"].clone()) / 2
noised = (samples + noise) / 2
else:
noised = samples["samples"].clone() + noise["samples"].clone() * strength
noised = samples + noise * strength
if normalize:
noised = noised / noised.std()
if mask is not None:
@ -1048,14 +1049,14 @@ class InjectNoiseToLatent:
mask = mask.expand((-1,noised.shape[1],-1,-1))
if mask.shape[0] < noised.shape[0]:
mask = mask.repeat((noised.shape[0] -1) // mask.shape[0] + 1, 1, 1, 1)[:noised.shape[0]]
noised = mask * noised + (1-mask) * latents["samples"]
noised = mask * noised + (1-mask) * samples
if mix_randn_amount > 0:
if seed is not None:
generator = torch.manual_seed(seed)
rand_noise = torch.randn(noised.size(), dtype=noised.dtype, layout=noised.layout, generator=generator, device="cpu")
noised = noised + (mix_randn_amount * rand_noise)
samples["samples"] = noised
return (samples,)
return ({"samples":noised},)
class SoundReactive:
@classmethod