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

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* Bug: Fix wrong params, docs, and handles noise=None

* make noise a required arg

---------

Co-authored-by: YiYi Xu <yixu310@gmail.com>
This commit is contained in:
Titong Jiang
2026-01-10 05:42:33 +08:00
committed by GitHub
parent b7a81582ae
commit 4fb44bdf91
3 changed files with 16 additions and 9 deletions
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8
src/diffusers/schedulers/scheduling_flow_match_euler_discrete.py
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@@ -171,8 +171,8 @@ class FlowMatchEulerDiscreteScheduler(SchedulerMixin, ConfigMixin):
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
@@ -180,8 +180,10 @@ class FlowMatchEulerDiscreteScheduler(SchedulerMixin, ConfigMixin):
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`:

9
src/diffusers/schedulers/scheduling_flow_match_heun_discrete.py
View File

@@ -110,8 +110,8 @@ class FlowMatchHeunDiscreteScheduler(SchedulerMixin, ConfigMixin):
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
@@ -119,8 +119,10 @@ class FlowMatchHeunDiscreteScheduler(SchedulerMixin, ConfigMixin):
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`:
@@ -130,6 +132,7 @@ class FlowMatchHeunDiscreteScheduler(SchedulerMixin, ConfigMixin):
self._init_step_index(timestep)
sigma = self.sigmas[self.step_index]
sample = sigma * noise + (1.0 - sigma) * sample
return sample

8
src/diffusers/schedulers/scheduling_flow_match_lcm.py
View File

@@ -192,8 +192,8 @@ class FlowMatchLCMScheduler(SchedulerMixin, ConfigMixin):
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
@@ -201,8 +201,10 @@ class FlowMatchLCMScheduler(SchedulerMixin, ConfigMixin):
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`: