Update app.py

app.py

@@ -114,7 +114,7 @@ def load_and_prepare_model(model_id):
     #vaeX = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse",use_safetensors=True)
     #vaeX = AutoencoderKL.from_pretrained('ford442/Juggernaut-XI-v11-fp32',subfolder='vae', safety_checker=None, use_safetensors=False)   #  ,use_safetensors=True  FAILS
     #vaeX = AutoencoderKL.from_pretrained('ford442/RealVisXL_V5.0_FP64',subfolder='vae').to(torch.bfloat16)   #  ,use_safetensors=True  FAILS
-    unetX = UNet2DConditionModel.from_pretrained('SG161222/RealVisXL_V5.0',subfolder='unet')  #  ,use_safetensors=True  FAILS
+    #unetX = UNet2DConditionModel.from_pretrained('SG161222/RealVisXL_V5.0',subfolder='unet')  #  ,use_safetensors=True  FAILS
   #  vae = AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors",safety_checker=None).to(torch.bfloat16)
     #sched = EulerAncestralDiscreteScheduler.from_pretrained("SG161222/RealVisXL_V5.0", subfolder='scheduler',beta_schedule="scaled_linear", steps_offset=1,timestep_spacing="trailing"))
     #sched = EulerAncestralDiscreteScheduler.from_pretrained("SG161222/RealVisXL_V5.0", subfolder='scheduler', steps_offset=1,timestep_spacing="trailing")
@@ -149,12 +149,12 @@ def load_and_prepare_model(model_id):
     #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.to(torch.bfloat16)
-    pipe.unet = unetX.to(torch.bfloat16)
+    #pipe.unet = unetX.to(torch.bfloat16)
     pipe.scheduler = sched
     pipe.vae.do_resize=False
     #pipe.vae.do_rescale=False
     #pipe.vae.do_convert_rgb=True
-    pipe.vae.vae_scale_factor=7
+    pipe.vae.vae_scale_factor=8
     #pipe.scheduler = sched
     #pipe.vae=vae.to(torch.bfloat16)
     #pipe.unet=pipeX.unet
@@ -224,10 +224,10 @@ def uploadNote():
         f.write(f"Use Model Dtype: no \n")
         f.write(f"Model Scheduler: Euler_a all_custom before cuda woth trailing \n")
         f.write(f"Model VAE: sdxl-vae  to bfloat with cuda then attn_proc \n")
-        f.write(f"Model UNET: SG161222  to bfloat with cuda then attn_proc \n")
+        f.write(f"Model UNET: default  to bfloat with cuda  \n")
         f.write(f"Model HiDiffusion OFF \n")
         f.write(f"Model do_resize OFF \n")
-        f.write(f"Model vae_scale_factor 7 \n")
+        f.write(f"Model vae_scale_factor 8 \n")
     upload_to_ftp(filename) 
     
 @spaces.GPU(duration=30)