1、Cannot initialize model with low cpu memory usage because accelerate was not found in the environment. Defaulting to low_cpu_mem_usage=False. It is strongly recommended to install accelerate for faster and less memory-intense model loading.
解决方法：pip install accelerate
2、python inference_video.py 错误
Traceback (most recent call last):
File "/mnt/example/HelloMeme/inference_video.py", line 117, in <module>
inference_video(engines, ref_img_path, drive_video_path, save_path, trans_ratio=0.0)
File "/root/miniconda3/envs/myconda/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/mnt/example/HelloMeme/inference_video.py", line 80, in inference_video
imageio.mimsave(save_path, res_frames, fps=15)
File "/root/miniconda3/envs/myconda/lib/python3.12/site-packages/imageio/v2.py", line 494, in mimwrite
with imopen(uri, "wI", **imopen_args) as file:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/miniconda3/envs/myconda/lib/python3.12/site-packages/imageio/core/imopen.py", line 281, in imopen
raise err_type(err_msg)
ValueError: Could not find a backend to open `data/results/trump_jue.mp4`` with iomode `wI`.
Based on the extension, the following plugins might add capable backends:
FFMPEG: pip install imageio[ffmpeg]
pyav: pip install imageio[pyav]
1、Cannot initialize model with low cpu memory usage because
acceleratewas not found in the environment. Defaulting tolow_cpu_mem_usage=False. It is strongly recommended to installacceleratefor faster and less memory-intense model loading.解决方法：pip install accelerate
2、python inference_video.py 错误
解决方法：pip install imageio[ffmpeg]