Fix type annotation (#5146)

* Fix type annotation on Scheduler.from_pretrained

* Fix type annotation on PIL.Image

examples/community/clip_guided_images_mixing_stable_diffusion.py

@@ -3,7 +3,7 @@ import inspect
 from typing import Optional, Union
 
 import numpy as np
-import PIL
+import PIL.Image
 import torch
 from torch.nn import functional as F
 from torchvision import transforms

examples/community/clip_guided_stable_diffusion_img2img.py

@@ -2,7 +2,7 @@ import inspect
 from typing import List, Optional, Union
 
 import numpy as np
-import PIL
+import PIL.Image
 import torch
 from torch import nn
 from torch.nn import functional as F

examples/community/ddim_noise_comparative_analysis.py

@@ -14,7 +14,7 @@
 
 from typing import List, Optional, Tuple, Union
 
-import PIL
+import PIL.Image
 import torch
 from torchvision import transforms
 

examples/community/imagic_stable_diffusion.py

@@ -7,7 +7,7 @@ import warnings
 from typing import List, Optional, Union
 
 import numpy as np
-import PIL
+import PIL.Image
 import torch
 import torch.nn.functional as F
 from accelerate import Accelerator

examples/community/img2img_inpainting.py

@@ -2,7 +2,7 @@ import inspect
 from typing import Callable, List, Optional, Tuple, Union
 
 import numpy as np
-import PIL
+import PIL.Image
 import torch
 from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
 

examples/community/lpw_stable_diffusion.py

@@ -3,7 +3,7 @@ import re
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import numpy as np
-import PIL
+import PIL.Image
 import torch
 from packaging import version
 from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer

examples/community/lpw_stable_diffusion_onnx.py

@@ -3,7 +3,7 @@ import re
 from typing import Callable, List, Optional, Union
 
 import numpy as np
-import PIL
+import PIL.Image
 import torch
 from packaging import version
 from transformers import CLIPImageProcessor, CLIPTokenizer

examples/community/masked_stable_diffusion_img2img.py

 from typing import Any, Callable, Dict, List, Optional, Union
 
 import numpy as np
-import PIL
+import PIL.Image
 import torch
 
 from diffusers import StableDiffusionImg2ImgPipeline

examples/community/pipeline_zero1to3.py

@@ -6,7 +6,7 @@ from typing import Any, Callable, Dict, List, Optional, Union
 
 import kornia
 import numpy as np
-import PIL
+import PIL.Image
 import torch
 from packaging import version
 from transformers import CLIPFeatureExtractor, CLIPVisionModelWithProjection

examples/community/stable_diffusion_repaint.py

@@ -16,7 +16,7 @@ import inspect
 from typing import Callable, List, Optional, Union
 
 import numpy as np
-import PIL
+import PIL.Image
 import torch
 from packaging import version
 from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer

examples/community/stable_diffusion_tensorrt_img2img.py

@@ -24,7 +24,7 @@ from typing import List, Optional, Union
 import numpy as np
 import onnx
 import onnx_graphsurgeon as gs
-import PIL
+import PIL.Image
 import tensorrt as trt
 import torch
 from huggingface_hub import snapshot_download

examples/community/stable_diffusion_tensorrt_inpaint.py

@@ -24,7 +24,7 @@ from typing import List, Optional, Union
 import numpy as np
 import onnx
 import onnx_graphsurgeon as gs
-import PIL
+import PIL.Image
 import tensorrt as trt
 import torch
 from huggingface_hub import snapshot_download

examples/community/text_inpainting.py

 from typing import Callable, List, Optional, Union
 
-import PIL
+import PIL.Image
 import torch
 from transformers import (
     CLIPImageProcessor,

examples/community/tiled_upscaling.py

@@ -16,7 +16,7 @@ import math
 from typing import Callable, List, Optional, Union
 
 import numpy as np
-import PIL
+import PIL.Image
 import torch
 from PIL import Image
 from transformers import CLIPTextModel, CLIPTokenizer

examples/community/unclip_image_interpolation.py

 import inspect
 from typing import List, Optional, Union
 
-import PIL
+import PIL.Image
 import torch
 from torch.nn import functional as F
 from transformers import (

src/diffusers/image_processor.py

@@ -16,7 +16,7 @@ import warnings
 from typing import List, Optional, Union
 
 import numpy as np
-import PIL
+import PIL.Image
 import torch
 from PIL import Image
 

src/diffusers/pipelines/alt_diffusion/pipeline_alt_diffusion_img2img.py

@@ -16,7 +16,7 @@ import inspect
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import numpy as np
-import PIL
+import PIL.Image
 import torch
 from packaging import version
 from transformers import CLIPImageProcessor, XLMRobertaTokenizer

src/diffusers/pipelines/alt_diffusion/pipeline_output.py

@@ -2,7 +2,7 @@ from dataclasses import dataclass
 from typing import List, Optional, Union
 
 import numpy as np
-import PIL
+import PIL.Image
 
 from ...utils import (
     BaseOutput,

src/diffusers/pipelines/blip_diffusion/blip_image_processing.py

@@ -38,7 +38,7 @@ from diffusers.utils import numpy_to_pil
 
 
 if is_vision_available():
-    import PIL
+    import PIL.Image
 
 
 logger = logging.get_logger(__name__)

src/diffusers/pipelines/blip_diffusion/pipeline_blip_diffusion.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 from typing import List, Optional, Union
 
-import PIL
+import PIL.Image
 import torch
 from transformers import CLIPTokenizer