From adfe3a06c63daf02b7a3721364e244a898e8e7d0 Mon Sep 17 00:00:00 2001 From: catscarlet Date: Fri, 28 Feb 2025 17:08:34 +0800 Subject: [PATCH] Update info about gpu acceleration issue. --- README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index ca4ca63..c789efc 100644 --- a/README.md +++ b/README.md @@ -100,14 +100,14 @@ pip install "rembg[cli]" # for library + cli Otherwise, install `rembg` with explicit CPU/GPU support. -CPU support: +### CPU support: ```bash pip install rembg[cpu] # for library pip install "rembg[cpu,cli]" # for library + cli ``` -GPU support: +### GPU support: First of all, you need to check if your system supports the `onnxruntime-gpu`. @@ -124,6 +124,8 @@ pip install "rembg[gpu]" # for library pip install "rembg[gpu,cli]" # for library + cli ``` +Nvidia GPU may require onnxruntime-gpu, cuda, and cudnn-devel. [#668](https://github.com/danielgatis/rembg/issues/668#issuecomment-2689830314) . If rembg[gpu] couldn't work probably and your can't install cuda or cudnn-devel, use rembg[cpu] and onnxruntime instead. + ## Usage as a cli After the installation step you can use rembg just typing `rembg` in your terminal window.