.75, 0.0, 0.0], [0.0, 0.0, 0.75], [0.0, 0.75, 0.75]]

# generate
output_frames = []
for prompt, image, adapter_weight in zip(prompts, images, adapter_weights):
    pipe.set_adapters(["zoom-out", "tilt-up", "pan-left"], adapter_weights=adapter_weight)
    output = pipe(
      prompt= prompt,
      num_frames=16,
      guidance_scale=7.5,
      num_inference_steps=30,
      ip_adapter_image = image,
      generator=torch.Generator("cpu").manual_s