Update app.py

app.py

@@ -81,7 +81,7 @@ pipe = StableDiffusion3Pipeline.from_single_file(
     "https://huggingface.co/1inkus/sd35-large-UltraReal-bf16-DDUF/blob/main/sd3-bf16-large.dduf",
     #tokenizer_3=T5TokenizerFast.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", add_prefix_space=False, use_fast=True, subfolder="tokenizer_3"),
     use_safetensors=True,
-)
+).to(device=device)
 
 ###    pipe = StableDiffusion3Pipeline.from_pretrained(
     #"stabilityai  #  stable-diffusion-3.5-large",
@@ -107,9 +107,9 @@ pipe = StableDiffusion3Pipeline.from_single_file(
 #text_encoder_2=CLIPTextModelWithProjection.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='text_encoder_2',token=True).to(torch.device("cuda:0")) #, dtype=torch.bfloat16)
 #text_encoder_3=T5EncoderModel.from_pretrained("ford442/stable-diffusion-3.5-large-fp32", subfolder='text_encoder_3',token=True).to(torch.device("cuda:0")) #, dtype=torch.bfloat16)
     
-pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/UltraReal.safetensors")
+#pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/UltraReal.safetensors")
 
-pipe.to(device=device) #, dtype=torch.bfloat16)
+#pipe.to(device=device) #, dtype=torch.bfloat16)
 #pipe.to(device)
 #pipe.vae=vaeX.to('cpu')
 upscaler_2 = UpscaleWithModel.from_pretrained("Kim2091/ClearRealityV1").to(torch.device('cpu'))