Update app.py

app.py

@@ -138,9 +138,9 @@ def load_and_prepare_model():
     pipe.scheduler = sched
     #pipe.vae.do_resize=False
     #pipe.vae.vae_scale_factor=8
-   # pipe.to(device=device, dtype=torch.bfloat16)
-    pipe.to(device)
-    pipe.to(torch.bfloat16)
+    pipe.to(device=device, dtype=torch.bfloat16)
+    #pipe.to(device)
+    #pipe.to(torch.bfloat16)
     #pipe.vae.set_default_attn_processor()
     print(f'init noise scale: {pipe.scheduler.init_noise_sigma}')
     pipe.watermark=None
@@ -170,14 +170,14 @@ def upload_to_ftp(filename):
 def uploadNote(prompt,num_inference_steps,guidance_scale,timestamp):
     filename= f'rv_C_{timestamp}.txt'
     with open(filename, "w") as f:
-        f.write(f"Realvis 5.0 (Tester C) \n")
+        f.write(f"Realvis 5.0 (Tester D) \n")
         f.write(f"Date/time: {timestamp} \n")
         f.write(f"Prompt: {prompt} \n")
         f.write(f"Steps: {num_inference_steps} \n")
         f.write(f"Guidance Scale: {guidance_scale} \n")
         f.write(f"SPACE SETUP: \n")
-        f.write(f"Model Scheduler: Euler_a all_custom before cuda \n")
-        f.write(f"Model VAE: sdxl-vae-bf16\n")
+        f.write(f"Model Scheduler: Euler_a all default before cuda \n")
+        f.write(f"Model VAE: default\n")
         f.write(f"To cuda and bfloat \n")
     upload_to_ftp(filename)