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fix rf time scheduler problem #14011

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fix rf time scheduler problem #14011

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5 changes: 1 addition & 4 deletions src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py
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Expand Up @@ -364,10 +364,7 @@ def set_timesteps(

# 5. Convert sigmas and timesteps to tensors and move to specified device
sigmas = torch.from_numpy(sigmas).to(dtype=torch.float32, device=device)
if not is_timesteps_provided:
timesteps = sigmas * self.config.num_train_timesteps
else:
timesteps = torch.from_numpy(timesteps).to(dtype=torch.float32, device=device)
timesteps = sigmas * self.config.num_train_timesteps

# 6. Append the terminal sigma value.
# If a model requires inverted sigma schedule for denoising but timesteps without inversion, the
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