Update app.py

app.py

@@ -61,13 +61,13 @@ def generate(
     if torch.cuda.is_available():
 
         if not use_vae:  
-            scheduler =  DPMSolverMultistepScheduler.from_pretrained(dropdown_model, subfolder="scheduler")
-            pipe = DiffusionPipeline.from_pretrained(dropdown_model, scheduler=scheduler, torch_dtype=torch.float16)
+            pipe = DiffusionPipeline.from_pretrained(dropdown_model, torch_dtype=torch.float16)
+            pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
             
         if use_vae:
-            scheduler =  DPMSolverMultistepScheduler.from_pretrained(dropdown_model, subfolder="scheduler")
-            vae = AutoencoderKL.from_pretrained(vaecall, torch_dtype=torch.float16, variant="fp16")
-            pipe = DiffusionPipeline.from_pretrained(dropdown_model, vae=vae, scheduler=scheduler, torch_dtype=torch.float16)
+            vae = AutoencoderKL.from_pretrained(vaecall, torch_dtype=torch.float16)
+            pipe = DiffusionPipeline.from_pretrained(dropdown_model, vae=vae, torch_dtype=torch.float16)
+            pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
             
         if use_lora:
             pipe.load_lora_weights(lora)