按照Wan2.1的推理手册运行出现问题

按照手册指导的通过运行以下代码可以快速加载 Wan-AI/Wan2.1-T2V-1.3B 模型并进行推理

import torch
from diffsynth import save_video
from diffsynth.pipelines.wan_video_new import WanVideoPipeline, ModelConfig

pipe = WanVideoPipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
ModelConfig(model_id="Wan-AI/Wan2.1-T2V-1.3B", origin_file_pattern="diffusion_pytorch_model*.safetensors", offload_device="cpu"),
ModelConfig(model_id="Wan-AI/Wan2.1-T2V-1.3B", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth", offload_device="cpu"),
ModelConfig(model_id="Wan-AI/Wan2.1-T2V-1.3B", origin_file_pattern="Wan2.1_VAE.pth", offload_device="cpu"),
],
)
pipe.enable_vram_management()

video = pipe(
prompt="纪实摄影风格画面，一只活泼的小狗在绿茵茵的草地上迅速奔跑。小狗毛色棕黄，两只耳朵立起，神情专注而欢快。阳光洒在它身上，使得毛发看上去格外柔软而闪亮。背景是一片开阔的草地，偶尔点缀着几朵野花，远处隐约可见蓝天和几片白云。透视感鲜明，捕捉小狗奔跑时的动感和四周草地的生机。中景侧面移动视角。",
negative_prompt="色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
seed=0, tiled=True,
)
save_video(video, "video1.mp4", fps=15, quality=5)

报错信息：
Traceback (most recent call last):
File "/workspace/DiffSynth-Studio/test.py", line 14, in
pipe.enable_vram_management()
File "/workspace/DiffSynth-Studio/diffsynth/pipelines/wan_video_new.py", line 135, in enable_vram_management
vram_limit = self.get_vram()
^^^^^^^^^^^^^^^
File "/workspace/DiffSynth-Studio/diffsynth/utils/init.py", line 132, in get_vram
return torch.cuda.mem_get_info(self.device)[1] / (1024 ** 3)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/conda/lib/python3.11/site-packages/torch/cuda/memory.py", line 684, in mem_get_info
device = _get_device_index(device)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/conda/lib/python3.11/site-packages/torch/cuda/_utils.py", line 38, in _get_device_index
return _torch_get_device_index(device, optional, allow_cpu)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/conda/lib/python3.11/site-packages/torch/_utils.py", line 803, in _get_device_index
raise ValueError(
ValueError: Expected a torch.device with a specified index or an integer, but got:cuda

Reproduce the failure with the provided test.py example, then inspect diffsynth/pipelines/wan_video_new.py around enable_vram_management and diffsynth/utils/init.py around get_vram. Trace how the configured CUDA device reaches torch.cuda.mem_get_info, and verify the example completes past VRAM management without the device-index error.