add cpu offload and index augmented conditioning input

app.py

@@ -26,6 +26,8 @@ pipe = StableDiffusionControlNetPipeline.from_pretrained(
         torch_dtype=torch.float32,
         )
 pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config)
+pipe.enable_model_cpu_offload()
+#pipe.enable_xformers_memory_efficient_attention()
 
 generator = torch.manual_seed(0)
 
@@ -38,7 +40,7 @@ def infer(prompt, negative_prompt, image):
     
     output = pipe(
         prompt,
-        cond_input,
+        cond_input[0],
         generator=generator,
         num_images_per_prompt=4,
         num_inference_steps=20