Update app.py

app.py

@@ -109,7 +109,7 @@ 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",use_safetensors=False)
+    vaeX = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae", safety_checker=None,use_safetensors=False)
     #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)
@@ -175,7 +175,7 @@ def load_and_prepare_model(model_id):
     #pipe.vae.do_resize=False
     #pipe.vae.do_rescale=False
     #pipe.vae.do_convert_rgb=True
-    pipe.vae.vae_scale_factor=10
+    pipe.vae.vae_scale_factor=7
 
     pipe.scheduler = sched
     #pipe.vae=vae.to(torch.bfloat16)
@@ -251,7 +251,7 @@ 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: sdxl-vae to bfloat safetensor=false before cuda then attn_proc / scale facotor 10 \n")
+        f.write(f"Model VAE: sdxl-vae to bfloat safetensor=false before cuda then attn_proc / scale facotor 7 \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")