Update app.py

app.py

@@ -146,7 +146,7 @@ def load_and_prepare_model(model_id):
     #sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear",use_karras_sigmas=True, algorithm_type="dpmsolver++")
     #pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
     #pipe.scheduler = DPMSolverMultistepScheduler.from_pretrained('SG161222/RealVisXL_V5.0', subfolder='scheduler', algorithm_type='sde-dpmsolver++')
-    pipe.vae = vaeX
+    pipe.vae = vaeX.to(torch.bfloat16)
     #pipe.unet = unetX
     #pipe.vae.do_resize=False
     pipe.scheduler = sched
@@ -157,7 +157,7 @@ def load_and_prepare_model(model_id):
     pipe.to(device)
     pipe.to(torch.bfloat16)
     
-    apply_hidiffusion(pipe)
+    #apply_hidiffusion(pipe)
 
     #pipe.unet.set_default_attn_processor()
     #pipe.vae.set_default_attn_processor()
@@ -220,8 +220,9 @@ def uploadNote():
         f.write(f"SPACE SETUP: \n")
         f.write(f"Use Model Dtype: no \n")
         f.write(f"Model Scheduler: Euler_a custom before cuda \n")
-        f.write(f"Model VAE: SG161222/sdxl_vae \n")
+        f.write(f"Model VAE: SG161222/sdxl_vae to bfloat before cuda \n")
         f.write(f"Model UNET: default SG161222/RealVisXL_V5.0 \n")
+        f.write(f"Model HiDiffusion OFF \n")
     upload_to_ftp(filename) 
     
 @spaces.GPU(duration=30)