Update app.py

app.py

@@ -35,9 +35,9 @@ def predict(prompt, negative_prompt, guidance_scale, num_inference_steps,model,
     if len(scheduler.split("-")) > 2:
         add_kwargs["algorithm_type"] = "sde-dpmsolver++"
     scheduler = getattr(diffusers, scheduler_class_name)
-    
-    pipeline.scheduler = scheduler.from_pretrained("emilianJR/epiCRealism", subfolder="scheduler", **add_kwargs)
-    
+
+    if model != "RealVisXL_V4.0":
+        pipeline.scheduler = scheduler.from_pretrained("emilianJR/epiCRealism", subfolder="scheduler", **add_kwargs)
     
     if lora == "nayanthara":
         lora = "profaker/Naya_lora"