Update app.py

app.py

@@ -2,7 +2,8 @@ import gradio as gr
 import numpy as np
 import random
 import spaces #[uncomment to use ZeroGPU]
-from diffusers import DiffusionPipeline
+#added DPMSolverSDEScheduler
+from diffusers import DiffusionPipeline, DPMSolverSDEScheduler
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -14,6 +15,7 @@ else:
     torch_dtype = torch.float32
 
 pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
+#added full line below pipe.scheduler...
 pipe.scheduler = DPMSolverSDEScheduler.from_config(pipe.scheduler.config, algorithm_type="dpmsolver++", solver_order=2, use_karras_sigmas=True)
 pipe = pipe.to(device)