Update app.py

app.py

@@ -2,9 +2,9 @@ import gradio as gr
 import numpy as np
 import random
 
-# import spaces #[uncomment to use ZeroGPU]
-from diffusers import DiffusionPipeline
+import spaces #[uncomment to use ZeroGPU]
 import torch
+from diffusers import StableDiffusionXLPipeline
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_repo_id = "SG161222/RealVisXL_V5.0"  # Replace to the model you would like to use
@@ -14,7 +14,7 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
+pipe = StableDiffusionXLPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max