Update image_transformation.py

image_transformation.py

@@ -5,18 +5,15 @@ import torch
 from transformers.tools.base import Tool, get_default_device
 from transformers.utils import (
     is_accelerate_available,
-    is_diffusers_available,
     is_vision_available,
     is_opencv_available,
 )
+from diffusers import StableDiffusionControlNetPipeline, ControlNetModel, UniPCMultistepScheduler
 
 
 if is_vision_available():
     from PIL import Image
 
-if is_diffusers_available():
-    from diffusers import StableDiffusionControlNetPipeline, ControlNetModel, UniPCMultistepScheduler
-
 if is_opencv_available():
     import cv2
 
@@ -39,8 +36,6 @@ class ControlNetTransformationTool(Tool):
     def __init__(self, device=None, controlnet=None, stable_diffusion=None, **hub_kwargs) -> None:
         if not is_accelerate_available():
             raise ImportError("Accelerate should be installed in order to use tools.")
-        if not is_diffusers_available():
-            raise ImportError("Diffusers should be installed in order to use the StableDiffusionTool.")
         if not is_vision_available():
             raise ImportError("Pillow should be installed in order to use the StableDiffusionTool.")
 

requirements.txt

@@ -1,4 +1,4 @@
-transformers @ git+https://github.com/huggingface/transformers@test_composition
+transformers
 diffusers
 accelerate
 opencv-python