fix: 仅在可用 CUDA 时启用 xformers 内存高效注意力

app.py

@@ -87,7 +87,8 @@ class Demo:
         self.current_model = 'SDXL Turbo'
         euler_anc = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
         self.pipe = StableDiffusionXLPipeline.from_pretrained(model_id, scheduler=euler_anc, torch_dtype=self.weight_dtype).to(self.device)
-        self.pipe.enable_xformers_memory_efficient_attention()
+        if torch.cuda.is_available():
+            self.pipe.enable_xformers_memory_efficient_attention()
         
         self.guidance_scale = 1
         self.num_inference_steps = 3