test gradio

app.py

@@ -36,8 +36,7 @@ euler_a = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="s
 vae=AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
 pipe = StableDiffusionXLAdapterPipeline.from_pretrained(
     model_id, vae=vae, adapter=adapter, scheduler=euler_a, torch_dtype=torch.float16, variant="fp16",
-).to("cuda")
-pipe.enable_xformers_memory_efficient_attention()
+)
 
 pipe.load_ip_adapter("TencentARC/T2I-Adapter", subfolder="models", weight_name="coadapter-style-sd15v1.pth")
 pipe.to("cuda", torch.float16)