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[Type hint] Karras VE pipeline #288

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Merged
merged 2 commits into from
Aug 31, 2022
Merged

[Type hint] Karras VE pipeline #288

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[Type hint] Karras VE pipeline
patrickvonplaten Aug 31, 2022
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patrickvonplaten Aug 31, 2022
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12 changes: 10 additions & 2 deletions src/diffusers/pipelines/stochatic_karras_ve/pipeline_stochastic_karras_ve.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
#!/usr/bin/env python3
import warnings
from typing import Optional

import torch

Expand All @@ -21,13 +22,20 @@ class KarrasVePipeline(DiffusionPipeline):
unet: UNet2DModel
scheduler: KarrasVeScheduler

def __init__(self, unet, scheduler):
def __init__(self, unet: UNet2DModel, scheduler: KarrasVeScheduler):
super().__init__()
scheduler = scheduler.set_format("pt")
self.register_modules(unet=unet, scheduler=scheduler)

@torch.no_grad()
def __call__(self, batch_size=1, num_inference_steps=50, generator=None, output_type="pil", **kwargs):
def __call__(
self,
batch_size: int = 1,
num_inference_steps: int = 50,
generator: Optional[torch.Generator] = None,
output_type: Optional[str] = "pil",
**kwargs,
):
if "torch_device" in kwargs:
device = kwargs.pop("torch_device")
warnings.warn(
Expand Down