Update app.py

app.py

@@ -18,7 +18,7 @@ else:
     torch_dtype = torch.float32
 
 pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
-pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
+pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config)
 pipe.load_lora_weights("artificiallover0/man_asshole")
 pipe.fuse_lora()
 pipe = pipe.to(device)