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Fix wrong param types, docs, and handles noise=None in scale_noise of FlowMatching schedulers #11669

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Fix wrong param types, docs, and handles noise=None in scale_noise of FlowMatching schedulers #11669

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51d689e
Bug: Fix wrong params, docs, and handles noise=None
Promisery Jun 6, 2025
96482a5
Merge branch 'main' into main
Promisery Jun 6, 2025
6bc8a3a
make noise a required arg
Promisery Jun 12, 2025
5883649
Merge branch 'main' into main
Promisery Jun 12, 2025
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8 changes: 5 additions & 3 deletions src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py
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Original file line number Diff line number Diff line change
Expand Up @@ -171,17 +171,19 @@ def set_shift(self, shift: float):
def scale_noise(
self,
sample: torch.FloatTensor,
timestep: Union[float, torch.FloatTensor],
noise: Optional[torch.FloatTensor] = None,
timestep: torch.FloatTensor,
noise: torch.FloatTensor,
) -> torch.FloatTensor:
"""
Forward process in flow-matching

Args:
sample (`torch.FloatTensor`):
The input sample.
timestep (`int`, *optional*):
timestep (`torch.FloatTensor`):
The current timestep in the diffusion chain.
noise (`torch.FloatTensor`):
The noise tensor.

Returns:
`torch.FloatTensor`:
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9 changes: 6 additions & 3 deletions src/diffusers/schedulers/scheduling_flow_match_heun_discrete.py
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Original file line number Diff line number Diff line change
Expand Up @@ -110,17 +110,19 @@ def set_begin_index(self, begin_index: int = 0):
def scale_noise(
self,
sample: torch.FloatTensor,
timestep: Union[float, torch.FloatTensor],
noise: Optional[torch.FloatTensor] = None,
timestep: torch.FloatTensor,
noise: torch.FloatTensor,
) -> torch.FloatTensor:
"""
Forward process in flow-matching

Args:
sample (`torch.FloatTensor`):
The input sample.
timestep (`int`, *optional*):
timestep (`torch.FloatTensor`):
The current timestep in the diffusion chain.
noise (`torch.FloatTensor`):
The noise tensor.

Returns:
`torch.FloatTensor`:
Expand All @@ -130,6 +132,7 @@ def scale_noise(
self._init_step_index(timestep)

sigma = self.sigmas[self.step_index]

sample = sigma * noise + (1.0 - sigma) * sample

return sample
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8 changes: 5 additions & 3 deletions src/diffusers/schedulers/scheduling_flow_match_lcm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -192,17 +192,19 @@ def set_scale_factors(self, scale_factors: list, upscale_mode):
def scale_noise(
self,
sample: torch.FloatTensor,
timestep: Union[float, torch.FloatTensor],
noise: Optional[torch.FloatTensor] = None,
timestep: torch.FloatTensor,
noise: torch.FloatTensor,
) -> torch.FloatTensor:
"""
Forward process in flow-matching

Args:
sample (`torch.FloatTensor`):
The input sample.
timestep (`int`, *optional*):
timestep (`torch.FloatTensor`):
The current timestep in the diffusion chain.
noise (`torch.FloatTensor`):
The noise tensor.

Returns:
`torch.FloatTensor`:
Expand Down