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fix(DDIM scheduler): use correct dtype for noise #742

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Merged
merged 3 commits into from
Oct 7, 2022
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fix(DDIM scheduler): use correct dtype for noise #742

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15e386e
fix(DDIM scheduler): use correct dtype for noise
keturn Oct 5, 2022
428f83e
Merge branch 'main' into fix/fp16-stochastics
keturn Oct 5, 2022
b6748c0
Merge branch 'main' into fix/fp16-stochastics
keturn Oct 6, 2022
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3 changes: 2 additions & 1 deletion src/diffusers/schedulers/scheduling_ddim.py
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Expand Up @@ -283,8 +283,9 @@ def step(
prev_sample = alpha_prod_t_prev ** (0.5) * pred_original_sample + pred_sample_direction

if eta > 0:
# randn_like does not support generator https://github.com/pytorch/pytorch/issues/27072
device = model_output.device if torch.is_tensor(model_output) else "cpu"
noise = torch.randn(model_output.shape, generator=generator).to(device)
noise = torch.randn(model_output.shape, dtype=model_output.dtype, generator=generator).to(device)
variance = self._get_variance(timestep, prev_timestep) ** (0.5) * eta * noise

prev_sample = prev_sample + variance
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