Update app.py

app.py

@@ -126,10 +126,9 @@ def load_and_prepare_model(model_id):
 
     pipe.unet = pipeX.unet
     #pipe.to(dtype=torch.bfloat16)
-    pipe.to(device)
-    pipe.to(torch.bfloat16)
-
-    #pipe.to(device, torch.bfloat16)
+    #pipe.to(device)
+    #pipe.to(torch.bfloat16)
+    pipe.to(device, torch.bfloat16)
     del pipeX
     #sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", algorithm_type="dpmsolver++")
     #sched = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config, beta_schedule="linear", algorithm_type="dpmsolver++")
@@ -215,7 +214,7 @@ def generate_30(
         f.write(f"Model Scheduler: Euler_a custom \n")
         f.write(f"Model VAE: stabilityai/sdxl-vae no dtype \n")
         f.write(f"Model UNET: stabilityai no dtype \n")
-        f.write(f"Model to cuda - then to dtype \n")
+        f.write(f"Model to cuda/dtype \n")
     upload_to_ftp(filename) 
     for i in range(0, num_images, BATCH_SIZE):
         batch_options = options.copy()
@@ -282,7 +281,7 @@ def generate_60(
         f.write(f"Model Scheduler: Euler_a custom \n")
         f.write(f"Model VAE: stabilityai/sdxl-vae no dtype \n")
         f.write(f"Model UNET: stabilityai no dtype \n")
-        f.write(f"Model to cuda - then to dtype \n")
+        f.write(f"Model to cuda/dtype \n")
     upload_to_ftp(filename) 
     for i in range(0, num_images, BATCH_SIZE):
         batch_options = options.copy()
@@ -349,7 +348,7 @@ def generate_90(
         f.write(f"Model Scheduler: Euler_a custom \n")
         f.write(f"Model VAE: stabilityai/sdxl-vae no dtype \n")
         f.write(f"Model UNET: stabilityai no dtype \n")
-        f.write(f"Model to cuda - then to dtype \n")
+        f.write(f"Model to cuda/dtype \n")
     upload_to_ftp(filename) 
     for i in range(0, num_images, BATCH_SIZE):
         batch_options = options.copy()