Update pipeline.py

pipeline.py

@@ -48,8 +48,7 @@ from diffusers.models import ControlNetModel
 from diffusers.pipelines.controlnet.multicontrolnet import MultiControlNetModel
 from diffusers.pipelines.pipeline_utils import DiffusionPipeline
 from diffusers.utils import deprecate
-import PIL
-from PIL import Image
+
 import torchvision
 import math
 
@@ -668,17 +667,7 @@ class AnimateDiffPipeline(DiffusionPipeline, TextualInversionLoaderMixin, IPAdap
         )
 
         if init_image is not None:
-            start_image = (
-                (
-                    torchvision.transforms.functional.pil_to_tensor(
-                        PIL.Image.open(init_image).resize((width, height))
-                    )
-                    / 255
-                )[:3, :, :]
-                .to("cuda")
-                .to(torch.bfloat16)
-                .unsqueeze(0)
-            )
+            start_image = ((torchvision.transforms.functional.pil_to_tensor(init_image))/ 255 )[:3, :, :].to("cuda").to(torch.bfloat16).unsqueeze(0))
             start_image = (
                 self.vae.encode(start_image.mul(2).sub(1))
                 .latent_dist.sample()