Small-tailqwq

> > > 在请求函数中添加 > > > ```js > > > 如果（rootId！== 自我。道具。default_root_id ）{ 返回 新的 响应（'权限被拒绝' ，{ 状态：403 } ）; } > > > ``` > > > >...

算是告一段落了，现在等待官方通过吧。不通过的话我自己也发布了一个将就着用就是了，如果有翻译方面的问题还请母语用户指出，毕竟我也是边谷歌边翻译的。 经过测试，可以正确识别 Home-Assistant 的用户语言，更换语言请按 shift + F5 刷新浏览器缓存以生效。 --------- It's the end of the story, now I'm waiting for the official approval. If it doesn't pass, I've also released one...

应该是jsd被dns污染的缘故，同上替换链接吧

https://stackoverflow.com/questions/69694093/gpu-is-not-available-for-pytorch/69694337#69694337?newreg=c46988f256ae4e2bad7fa540e7b57279 You can try the method here to determine your cuda version

> It will become very slow ...... You can try deleting the `venv` folder and reinstalling a Torch by rebooting, I solved my problem by doing that. But this is...

I haven't tried using IGPU, so I can't give you an accurate answer. Sorry I can't help you.

Hey there, I'd like to know how you modified `def setup_model():`. Is it changed to look like this below? ```python def setup_model(): torch.backends.cudnn.benchmark = True if not os.path.exists(model_path): os.makedirs(model_path) list_models()...

I'm using a 2060 graphics card on my laptop and I didn't get a significant performance boost after modifying the file, he would eat up more memory when I launched...

经过多次测试，我得到了它在我电脑上的运行结果(RTX 2060 90W) After many tests, I got the data that it works on my computer(RTX 2060 90W) | | 1img | 6imgs | | ------------------------------ | -------- | --------...

Brother, I tested it again after installing cuDNN, it works with xformers on RTX3080, the speed was about `1.1it/s` for 8 rounds and 8 sets of images before using it,...