Update app.py

app.py

@@ -2,6 +2,8 @@ import spaces
 import gradio as gr
 import numpy as np
 import random
+from lora import LoRAModel
+
 import torch
 from diffusers import StableDiffusion3Pipeline
 #from transformers import CLIPTextModelWithProjection, T5EncoderModel
@@ -76,11 +78,13 @@ pipe = StableDiffusion3Pipeline.from_pretrained(
     #use_safetensors=False,
 )
 
+
+
+lora_model = LoRAModel.from_pretrained("https://huggingface.co/ford442/sdxl-vae-bf16/LoRA/UltraReal.safetensors")
+pipe.apply_lora(lora_model, scaling_factor=0.75)
 #pipe.to(device=device, dtype=torch.bfloat16)
 pipe.to(device)
 
-pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/UltraReal.safetensors", adapter_name="real")
-
 upscaler_2 = UpscaleWithModel.from_pretrained("Kim2091/ClearRealityV1").to(torch.device('cpu'))
 
 MAX_SEED = np.iinfo(np.int32).max