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Fix img2img speed with LMS-Discrete Scheduler #896

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Merged
merged 2 commits into from
Nov 18, 2022
Merged

Fix img2img speed with LMS-Discrete Scheduler #896

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739639d
Fix img2img speed with LMS-Discrete Scheduler
NotNANtoN Oct 18, 2022
ff2f7b4
Merge branch 'main' into patch-1
anton-l Nov 18, 2022
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9 changes: 4 additions & 5 deletions src/diffusers/schedulers/scheduling_lms_discrete.py
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Original file line number Diff line number Diff line change
Expand Up @@ -243,19 +243,18 @@ def add_noise(
timesteps: torch.FloatTensor,
) -> torch.FloatTensor:
# Make sure sigmas and timesteps have the same device and dtype as original_samples
self.sigmas = self.sigmas.to(device=original_samples.device, dtype=original_samples.dtype)
sigmas = self.sigmas.to(device=original_samples.device, dtype=original_samples.dtype)
if original_samples.device.type == "mps" and torch.is_floating_point(timesteps):
# mps does not support float64
self.timesteps = self.timesteps.to(original_samples.device, dtype=torch.float32)
schedule_timesteps = self.timesteps.to(original_samples.device, dtype=torch.float32)
timesteps = timesteps.to(original_samples.device, dtype=torch.float32)
else:
self.timesteps = self.timesteps.to(original_samples.device)
schedule_timesteps = self.timesteps.to(original_samples.device)
timesteps = timesteps.to(original_samples.device)

schedule_timesteps = self.timesteps
step_indices = [(schedule_timesteps == t).nonzero().item() for t in timesteps]

sigma = self.sigmas[step_indices].flatten()
sigma = sigmas[step_indices].flatten()
while len(sigma.shape) < len(original_samples.shape):
sigma = sigma.unsqueeze(-1)

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