Update app.py

app.py

@@ -123,7 +123,6 @@ def load_and_prepare_model(model_id):
     #sched = EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear")
     #pipeX = StableDiffusionXLPipeline.from_pretrained("SG161222/RealVisXL_V5.0").to(torch.bfloat16)
     #pipeX = StableDiffusionXLPipeline.from_pretrained("ford442/Juggernaut-XI-v11-fp32",use_safetensors=True)
-    
     pipe = StableDiffusionXLPipeline.from_pretrained(
         'ford442/RealVisXL_V5.0_BF16',
        #'ford442/Juggernaut-XI-v11-fp32',
@@ -149,7 +148,7 @@ def load_and_prepare_model(model_id):
     #pipe.scheduler = DPMSolverMultistepScheduler.from_pretrained('SG161222/RealVisXL_V5.0', subfolder='scheduler', algorithm_type='sde-dpmsolver++')
     #pipe.vae = vaeX
     #pipe.unet = unetX
-    #pipe.vae.do_resize=False
+    pipe.vae.do_resize=False
     #pipe.scheduler = sched
     #pipe.vae=vae.to(torch.bfloat16)
     #pipe.unet=pipeX.unet
@@ -228,7 +227,7 @@ def uploadNote():
         f.write(f"Model VAE: juggernaut to bfloat before cuda then attn_proc \n")
         f.write(f"Model UNET: default ford442/RealVisXL_V5.0_BF16 \n")
         f.write(f"Model HiDiffusion OFF \n")
-        f.write(f"Model do_resize ON \n")
+        f.write(f"Model do_resize OFF \n")
     upload_to_ftp(filename) 
     
 @spaces.GPU(duration=30)