Update text_to_image.py

text_to_image.py

@@ -2,8 +2,7 @@ from transformers.tools.base import Tool, get_default_device
 from transformers.utils import is_accelerate_available, is_diffusers_available
 import torch
 
-if is_diffusers_available():
-    from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler
+from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler
 
 
 TEXT_TO_IMAGE_DESCRIPTION = (
@@ -21,8 +20,6 @@ class TextToImageTool(Tool):
     def __init__(self, device=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.")
 
         super().__init__()