Update app.py

app.py

@@ -21,7 +21,7 @@ def read_content(file_path: str) -> str:
 
 def predict(dict, prompt="", negative_prompt="", guidance_scale=7.5, steps=30, strength=0.8,model="Realistic_V5.0", scheduler="DPMSolverMultistepScheduler-Karras"):
     
-    pipe = StableDiffusionInpaintPipeline.from_pretrained("SG161222/Realistic_Vision_V5.0_noVAE",vae=vae).to("cuda")
+    pipe = AutoPipelineForInpainting.from_pretrained("SG161222/Realistic_Vision_V5.0_noVAE",vae=vae).to("cuda")
     
     if model == "Realistic_V5.1":
         pipe = AutoPipelineForInpainting.from_pretrained("SG161222/Realistic_Vision_V5.1_noVAE", vae=vae).to("cuda")