Update app.py

app.py

@@ -108,7 +108,7 @@ def load_and_prepare_model(model_id):
     model_dtypes = {"ford442/RealVisXL_V5.0_BF16": torch.bfloat16,}
     dtype = model_dtypes.get(model_id, torch.bfloat16)  # Default to float32 if not found
     #vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", safety_checker=None)
-    #vaeX = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae")
+    vaeX = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae")
     #vae = AutoencoderKL.from_pretrained('cross-attention/asymmetric-autoencoder-kl-x-2',use_safetensors=False)
     #vae = AutoencoderKL.from_single_file('https://huggingface.co/ford442/sdxl-vae-bf16/mySLR/myslrVAE_v10.safetensors')
     #vaeX = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse",use_safetensors=True)
@@ -149,12 +149,12 @@ 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.to(torch.bfloat16)
+    pipe.vae = vaeX.to(torch.bfloat16)
     #pipe.unet = unetX
     pipe.scheduler = sched
     pipe.vae.do_resize=False
     #pipe.vae.do_rescale=False
-    pipe.vae.do_convert_rgb=True
+    #pipe.vae.do_convert_rgb=True
     pipe.vae.vae_scale_factor=4
     #pipe.scheduler = sched
     #pipe.vae=vae.to(torch.bfloat16)