Any video tutorial how to install ffmpeg-static?

[oisilener1982]

Download ffmpeg-static
Download and decompress ffmpeg-static, then

export FFMPEG_PATH=/path/to/ffmpeg-4.4-amd64-static

[yuange250]

Sorry for that, can you download the file from the follow link ?
https://www.johnvansickle.com/ffmpeg/old-releases/ffmpeg-4.4-amd64-static.tar.xz

[oisilener1982]

I already have the file and im having difficulty how to properly install. Im not a programmer :(

What is meant by: export FFMPEG_PATH=/path/to/ffmpeg-4.4-amd64-static

[yuange250]

OK, is your operating system windows or linux?

Firstliy, copy the full path of ffmpeg-4.4-amd64-static, like /home/XXX/ffmpeg-4.4-amd64-static(linux) or D:/xxxx/ffmpeg-4.4-amd64-static(windows)

Then, here is the easiest way to solve your problem, open the 'infer_audio2vid.py', change the line 32 to your own path:
current:

after change:

[oisilener1982]

Thanks, i think the above suggestion helped but i have a new error:

(echomimic) D:\AI\EchoMimic>python -u infer_audio2vid.py
C:\Users\Renel\anaconda3\envs\echomimic\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
C:\Users\Renel\anaconda3\envs\echomimic\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
please download ffmpeg-static and export to FFMPEG_PATH.
For example: export FFMPEG_PATH=/musetalk/ffmpeg-4.4-amd64-static
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. You can do so with:

pip install accelerate

.
Traceback (most recent call last):
File "infer_audio2vid.py", line 243, in
main()
File "infer_audio2vid.py", line 97, in main
vae = AutoencoderKL.from_pretrained(
File "C:\Users\Renel\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 1173, in to
return self._apply(convert)
File "C:\Users\Renel\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 779, in _apply
module._apply(fn)
File "C:\Users\Renel\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 779, in _apply
module._apply(fn)
File "C:\Users\Renel\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 804, in apply
param_applied = fn(param)
File "C:\Users\Renel\anaconda3\envs\echomimic\lib\site-packages\torch\nn\modules\module.py", line 1159, in convert
return t.to(
File "C:\Users\Renel\anaconda3\envs\echomimic\lib\site-packages\torch\cuda_init.py", line 284, in _lazy_init
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled

[oisilener1982]

[yuange250]

reinstall torch and torchvision may solve the problem.

pip install torch==2.0.1
pip install torchvision==0.15.2

but we are sorry that we only ensure the codes can be run on a graphic card with at least 16G memory. OOM may occurs on 3080(10G) :(

[hotdogarea]

我是windows11 python3.10环境下，按照要求安装了对应版本的torch，但我的cuda是12.5的。依然提示这个，安装的时候我用的清华源，是清华源的问题？

File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\torch\nn\modules\module.py", line 1143, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\torch\cuda_init_.py", line 239, in _lazy_init
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
PS H:\AIaudio_Live\EchoMimic> pip list
Package Version

---

accelerate 0.32.1
antlr4-python3-runtime 4.9.3
av 11.0.0
certifi 2024.7.4
charset-normalizer 3.3.2
colorama 0.4.6
decorator 4.4.2
diffusers 0.24.0
einops 0.4.1
facenet-pytorch 2.5.0
ffmpeg-python 0.2.0
filelock 3.15.4
fsspec 2024.6.1
future 1.0.0
huggingface-hub 0.23.4
idna 3.7
imageio 2.34.2
imageio-ffmpeg 0.5.1
importlib_metadata 8.0.0
intel-openmp 2021.4.0
Jinja2 3.1.4
lightning-utilities 0.11.3.post0
MarkupSafe 2.1.5
mkl 2021.4.0
moviepy 1.0.3
mpmath 1.3.0
networkx 3.3
numpy 1.26.4
omegaconf 2.3.0
opencv-python 4.10.0.84
packaging 24.1
pillow 10.4.0
pip 24.0
proglog 0.1.10
psutil 6.0.0
PyYAML 6.0.1
regex 2024.5.15
requests 2.32.3
safetensors 0.4.3
setuptools 69.5.1
sympy 1.13.0
tbb 2021.13.0
tokenizers 0.19.1
torch 2.0.1
torchaudio 2.0.2
torchmetrics 1.4.0.post0
torchtyping 0.1.4
torchvision 0.15.2
tqdm 4.66.4
transformers 4.42.3
typeguard 4.3.0
typing_extensions 4.12.2
urllib3 2.2.2
wheel 0.43.0
zipp 3.19.2

[hotdogarea]

我是windows11 python3.10环境下，按照要求安装了对应版本的torch，但我的cuda是12.5的。依然提示这个，安装的时候我用的清华源，是清华源的问题？

File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\torch\nn\modules\module.py", line 1143, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\torch\cuda__init__.py", line 239, in _lazy_init raise AssertionError("Torch not compiled with CUDA enabled") AssertionError: Torch not compiled with CUDA enabled PS H:\AIaudio_Live\EchoMimic> pip list Package Version

accelerate 0.32.1 antlr4-python3-runtime 4.9.3 av 11.0.0 certifi 2024.7.4 charset-normalizer 3.3.2 colorama 0.4.6 decorator 4.4.2 diffusers 0.24.0 einops 0.4.1 facenet-pytorch 2.5.0 ffmpeg-python 0.2.0 filelock 3.15.4 fsspec 2024.6.1 future 1.0.0 huggingface-hub 0.23.4 idna 3.7 imageio 2.34.2 imageio-ffmpeg 0.5.1 importlib_metadata 8.0.0 intel-openmp 2021.4.0 Jinja2 3.1.4 lightning-utilities 0.11.3.post0 MarkupSafe 2.1.5 mkl 2021.4.0 moviepy 1.0.3 mpmath 1.3.0 networkx 3.3 numpy 1.26.4 omegaconf 2.3.0 opencv-python 4.10.0.84 packaging 24.1 pillow 10.4.0 pip 24.0 proglog 0.1.10 psutil 6.0.0 PyYAML 6.0.1 regex 2024.5.15 requests 2.32.3 safetensors 0.4.3 setuptools 69.5.1 sympy 1.13.0 tbb 2021.13.0 tokenizers 0.19.1 torch 2.0.1 torchaudio 2.0.2 torchmetrics 1.4.0.post0 torchtyping 0.1.4 torchvision 0.15.2 tqdm 4.66.4 transformers 4.42.3 typeguard 4.3.0 typing_extensions 4.12.2 urllib3 2.2.2 wheel 0.43.0 zipp 3.19.2

解决了，不要用清华源，去pytorch官网下载2.4G版本那个torch
https://download.pytorch.org/whl/torch_stable.html

但会出现新的问题
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\torch\jit_trace.py", line 1220, in wrapper
return fn(*args, **kwargs)
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\torchvision\ops\boxes.py", line 94, in _batched_nms_coordinate_trick
keep = nms(boxes_for_nms, scores, iou_threshold)
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\torchvision\ops\boxes.py", line 41, in nms
return torch.ops.torchvision.nms(boxes, scores, iou_threshold)
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\torch_ops.py", line 502, in call
return self._op(*args, **kwargs or {})
NotImplementedError: Could not run 'torchvision::nms' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchvision::nms' is only available for these backends: [CPU, QuantizedCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradMPS, AutogradXPU, AutogradHPU, AutogradLazy, AutogradMeta, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PythonDispatcher].

确实是facenet_pytorch版本的问题，facenet_pytorch我重新升级安装后版本为0.26 需要torch2.2.0以上，重新安装后问题解决，执行程序后也生成了output文件，但出现了新的问题：
PS H:\AIaudio_Live\EchoMimic> python .\infer_audio2vid.py
C:\Users\Administrator.conda\envs\echo\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
C:\Users\Administrator.conda\envs\echo\lib\site-packages\diffusers\utils\outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
please download ffmpeg-static and export to FFMPEG_PATH.
For example: export FFMPEG_PATH=/musetalk/ffmpeg-4.4-amd64-static
Some weights of the model checkpoint were not used when initializing UNet2DConditionModel:
['down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_q.weight, down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight, down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight, down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.weight, down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.bias, down_blocks.0.attentions.0.transformer_blocks.0.norm2.weight, down_blocks.0.attentions.0.transformer_blocks.0.norm2.bias, down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q.weight, down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k.weight, down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v.weight, down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0.weight, down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0.bias, down_blocks.0.attentions.1.transformer_blocks.0.norm2.weight, down_blocks.0.attentions.1.transformer_blocks.0.norm2.bias, down_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight, 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mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight, mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight, mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight, mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight, mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.bias, mid_block.attentions.0.transformer_blocks.0.norm2.weight, mid_block.attentions.0.transformer_blocks.0.norm2.bias, conv_norm_out.weight, conv_norm_out.bias, conv_out.weight, conv_out.bias']
AttributeError: 'float' object has no attribute 'rint'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\numpy\core\fromnumeric.py", line 59, in _wrapfunc
return bound(*args, **kwds)
TypeError: loop of ufunc does not support argument 0 of type float which has no callable rint method

During handling of the above exception, another exception occurred:

AttributeError: 'float' object has no attribute 'rint'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "H:\AIaudio_Live\EchoMimic\infer_audio2vid.py", line 243, in
main()
File "H:\AIaudio_Live\EchoMimic\infer_audio2vid.py", line 192, in main
xyxy = np.round(xyxy).astype('int')
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\numpy\core\fromnumeric.py", line 3360, in round
return _wrapfunc(a, 'round', decimals=decimals, out=out)
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\numpy\core\fromnumeric.py", line 68, in _wrapfunc
return _wrapit(obj, method, *args, **kwds)
File "C:\Users\Administrator.conda\envs\echo\lib\site-packages\numpy\core\fromnumeric.py", line 45, in _wrapit
result = getattr(asarray(obj), method)(*args, **kwds)
TypeError: loop of ufunc does not support argument 0 of type float which has no callable rint method