OpenSourceJoker/video2x
3
0
Fork 0
mirror of https://github.com/k4yt3x/video2x.git synced 2025-02-26 09:29:08 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

docs(book): update command arguments in the container usages (#1323)
Some checks failed
Docs / deploy (push) Has been cancelled
Details

Browse Source 
Signed-off-by: k4yt3x <i@k4yt3x.com>
This commit is contained in:
k4yt3x 2025-02-04 00:00:00 +00:00
parent afa37f9e58
commit 3e987b9693
No known key found for this signature in database
1 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
docs/book/src/running/container.md
View File

@ -17,7 +17,7 @@ This section documents how to upscale a video. Replace `$TAG` with an appropriat
Make sure your host has the proper GPU and Vulkan libraries and drivers, then use the following command to launch the container:
```shell
docker run --gpus all -it --rm -v $PWD/data:/host ghcr.io/k4yt3x/video2x:$TAG -i standard-test.mp4 -o output.mp4 -f realesrgan -r 4 -m realesr-animevideov3
docker run --gpus all -it --rm -v $PWD/data:/host ghcr.io/k4yt3x/video2x:$TAG -i standard-test.mp4 -o output.mp4 -p realesrgan -s 4 --realesrgan-model realesr-animevideov3
```
### NVIDIA GPUs
@ -33,19 +33,19 @@ In addition to installing the proper drivers on your host, `nvidia-docker2` (NVI
Once all the prerequisites are installed, you can launch the container:
```shell
docker run --gpus all -it --rm -v $PWD:/host ghcr.io/k4yt3x/video2x:$TAG -i standard-test.mp4 -o output.mp4 -f realesrgan -r 4 -m realesr-animevideov3
docker run --gpus all -it --rm -v $PWD:/host ghcr.io/k4yt3x/video2x:$TAG -i standard-test.mp4 -o output.mp4 -p realesrgan -s 4 --realesrgan-model realesr-animevideov3
```
Depending on the version of your nvidia-docker and some other mysterious factors, you can also try setting `no-cgroups = true` in `/etc/nvidia-container-runtime/config.toml` and adding the NVIDIA devices into the container if the command above doesn't work:
```shell
docker run --gpus all --device=/dev/nvidia0 --device=/dev/nvidiactl --runtime nvidia -it --rm -v $PWD:/host ghcr.io/k4yt3x/video2x:$TAG -i standard-test.mp4 -o output.mp4 -f realesrgan -r 4 -m realesr-animevideov3
docker run --gpus all --device=/dev/nvidia0 --device=/dev/nvidiactl --runtime nvidia -it --rm -v $PWD:/host ghcr.io/k4yt3x/video2x:$TAG -i standard-test.mp4 -o output.mp4 -p realesrgan -s 4 --realesrgan-model realesr-animevideov3
```
If you are still getting a `vkEnumeratePhysicalDevices failed -3` error at this point, try adding the `--privileged` flag to give the container the same level of permissions as the host:
```shell
docker run --gpus all --privileged -it --rm -v $PWD:/host ghcr.io/k4yt3x/video2x:$TAG -i standard-test.mp4 -o output.mp4 -f realesrgan -r 4 -m realesr-animevideov3
docker run --gpus all --privileged -it --rm -v $PWD:/host ghcr.io/k4yt3x/video2x:$TAG -i standard-test.mp4 -o output.mp4 -p realesrgan -s 4 --realesrgan-model realesr-animevideov3
```
### Intel GPUs
@ -53,5 +53,5 @@ docker run --gpus all --privileged -it --rm -v $PWD:/host ghcr.io/k4yt3x/video2x
Similar to NVIDIA GPUs, you can add `--gpus all` or `--device /dev/dri` to pass the GPU into the container. Adding `--privileged` might help with the performance (thanks @NukeninDark).
```shell
docker run --gpus all --privileged -it --rm -v $PWD:/host ghcr.io/k4yt3x/video2x:$TAG -i standard-test.mp4 -o output.mp4 -f realesrgan -r 4 -m realesr-animevideov3
docker run --gpus all --privileged -it --rm -v $PWD:/host ghcr.io/k4yt3x/video2x:$TAG -i standard-test.mp4 -o output.mp4 -p realesrgan -s 4 --realesrgan-model realesr-animevideov3
```