Update app.py

app.py

@@ -3,7 +3,7 @@ import numpy as np
 import random
 
 import spaces #[uncomment to use ZeroGPU]
-from diffusers import DiffusionPipeline
+from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -15,8 +15,9 @@ if torch.cuda.is_available():
 else:
     torch_dtype = torch.float32
 
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype,use_karras_sigmas=True,algorithm_type="sde-dpmsolver++")
+pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
+pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config, algorithm_type="sde-dpmsolver++", use_karras_sigmas=True)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024