Update app.py

app.py

@@ -79,6 +79,8 @@ pipe = StableDiffusion3Pipeline.from_pretrained(
 #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
@@ -112,6 +114,7 @@ def infer_30(
             num_inference_steps=num_inference_steps,
             width=width,
             height=height,
+            cross_attention_kwargs={"scale": 0.75},
             generator=generator,
             max_sequence_length=512
     ).images[0]