演示了传入空latent导致的问题。源码中:
noise_latent = latent.copy()
original_samples = noise_latent["samples"].clone()
random_noise = torch.randn_like(original_samples)
if normalize == "true":
mean = original_samples.mean()
std = original_samples.std()
random_noise = random_noise * std + mean
random_noise = original_samples + random_noise * noise_strength
所以如果原始ladtent是空,就会导致最后的random_noise 也为0

