Update app.py

app.py

@@ -73,17 +73,17 @@ pipe = StableDiffusion3Pipeline.from_pretrained(
     "ford442/stable-diffusion-3.5-large-bf16",
     trust_remote_code=True,
     transformer=None, # Load transformer separately
-    scheduler=None,
+    #scheduler=None,
     use_safetensors=True
 )
 
-scheduler2=FlowMatchEulerDiscreteScheduler.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='scheduler')
-pipe.scheduler=scheduler2
+#scheduler2=FlowMatchEulerDiscreteScheduler.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='scheduler')
+#pipe.scheduler=scheduler2
 ll_transformer=SD3Transformer2DModel.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='transformer').to(device, dtype=torch.bfloat16)
 pipe.transformer=ll_transformer
+pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/UltraReal.safetensors")
 
 pipe.to(device=device, dtype=torch.bfloat16)
-pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/UltraReal.safetensors")
 
 upscaler_2 = UpscaleWithModel.from_pretrained("Kim2091/ClearRealityV1").to(device)