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Fix fp16 intermediates giving different results. (#13100)

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comfyanonymous 2026-03-21 14:53:25 -07:00 committed by GitHub
parent b5d32e6ad2
commit 11c15d8832
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1 changed files with 2 additions and 2 deletions
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comfy/sample.py
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@ -8,12 +8,12 @@ import comfy.nested_tensor
def prepare_noise_inner(latent_image, generator, noise_inds=None):
if noise_inds is None:
return torch.randn(latent_image.size(), dtype=latent_image.dtype, layout=latent_image.layout, generator=generator, device="cpu")
return torch.randn(latent_image.size(), dtype=torch.float32, layout=latent_image.layout, generator=generator, device="cpu").to(dtype=latent_image.dtype)
unique_inds, inverse = np.unique(noise_inds, return_inverse=True)
noises = []
for i in range(unique_inds[-1]+1):
noise = torch.randn([1] + list(latent_image.size())[1:], dtype=latent_image.dtype, layout=latent_image.layout, generator=generator, device="cpu")
noise = torch.randn([1] + list(latent_image.size())[1:], dtype=torch.float32, layout=latent_image.layout, generator=generator, device="cpu").to(dtype=latent_image.dtype)
if i in unique_inds:
noises.append(noise)
noises = [noises[i] for i in inverse]