github/InvokeAI
1
1
Fork 0
mirror of https://github.com/invoke-ai/InvokeAI.git synced 2026-04-23 03:00:31 -04:00
Code Issues Packages Projects Releases Wiki Activity

restore 3.9 compatibility by replacing | with Union[]

Browse Source
This commit is contained in:
Lincoln Stein
2023-07-03 10:55:04 -04:00
parent 2465c7987b
commit ac9ec4e75a
16 changed files with 43 additions and 37 deletions
Download Patch File Download Diff File Expand all files Collapse all files

9
invokeai/backend/stable_diffusion/diffusers_pipeline.py
View File

@@ -7,7 +7,7 @@ import secrets
from collections.abc import Sequence
from dataclasses import dataclass, field
from typing import Any, Callable, Generic, List, Optional, Type, TypeVar, Union
from pydantic import BaseModel, Field
from pydantic import Field
import einops
import PIL.Image
@@ -17,12 +17,11 @@ import psutil
import torch
import torchvision.transforms as T
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.models.controlnet import ControlNetModel, ControlNetOutput
from diffusers.models.controlnet import ControlNetModel
from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import (
StableDiffusionPipeline,
)
from diffusers.pipelines.controlnet import MultiControlNetModel
from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img import (
StableDiffusionImg2ImgPipeline,
@@ -46,7 +45,7 @@ from .diffusion import (
InvokeAIDiffuserComponent,
PostprocessingSettings,
)
from .offloading import FullyLoadedModelGroup, LazilyLoadedModelGroup, ModelGroup
from .offloading import FullyLoadedModelGroup, ModelGroup
@dataclass
class PipelineIntermediateState:
@@ -105,7 +104,7 @@ class AddsMaskGuidance:
_debug: Optional[Callable] = None
def __call__(
self, step_output: BaseOutput | SchedulerOutput, t: torch.Tensor, conditioning
self, step_output: Union[BaseOutput, SchedulerOutput], t: torch.Tensor, conditioning
) -> BaseOutput:
output_class = step_output.__class__ # We'll create a new one with masked data.