Closed water110 closed 2 months ago
There is also rembg[gpu]
package meant to run on the GPU, and then
rembg
that is CPU. Which do you have installed?
On Wed, Jul 17, 2024 at 9:29 AM water110 @.***> wrote:
When I ran it for the first time, it reported an error, but quickly removed the background and reported the error as follows:
got prompt EP Error D:\a_work\1\s\onnxruntime\core\session\provider_bridge_ort.cc:1131 onnxruntime::ProviderLibrary::Get [ONNXRuntimeError] : 1 : FAIL : LoadLibrary failed with error 126 "" when trying to load "E:\FreeSoft\sd\comfyui-aki-v1.3\python\lib\site-packages\onnxruntime\capi\onnxruntime_providers_tensorrt.dll" when using ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'] Falling back to ['CUDAExecutionProvider', 'CPUExecutionProvider'] and retrying. Prompt executed in 8.80 seconds
I checked and found some feedback that it was due to TensorRT not being installed, so I installed TensorRT-8.6.1.6, and after installing it, when removing the image background via rembg again, it didn't report the error again,but the running speed was very slow and it cost Taking more than 1 minute to process。 What is the problem and how can I optimize this problem?
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There is also
rembg[gpu]
package meant to run on the GPU, and thenrembg
that is CPU. Which do you have installed?
I installed rembg using the following command 'pip install rembg[gpu]==2.0.57', but the 'pip list 'command shows 'rembg' instead of 'rembg[gpu]'. I don’t know if I have successfully installed 'rembg[gpu]'.
Yeah I don't think pip shows the package selected. I am not sure if they have a way to check what device it's using, but maybe they have a way to implicitly set it to cuda.
When I ran it for the first time, it reported an error, but quickly removed the background and reported the error as follows:
I checked and found some feedback that it was due to TensorRT not being installed, so I installed TensorRT-8.6.1.6, and after installing it, when removing the image background via rembg again, it didn't report the error again,but the running speed was very slow and it cost Taking more than 1 minute to process。 What is the problem and how can I optimize this problem?