Datasets:

mmmgo
/

mydataset

@@ -1,116 +0,0 @@
-0,stable diffusion
-图片尺寸很重要: 使用stablediffusion2.1_768_ema_pruned模型，当尺寸为768x512时，生成的图片像是有很多噪点一样，切换为768x768尺寸后，马上改善。
-进一步测试，发现：只要宽或高设置不是768x768，它就画不好了。
-然后，再搜索引擎找了一下说明，果然：Stable Diffusion 2.0 and 2.1 require both a model and a configuration file, and the image width & height will need to be set to 768 or higher when generating images...
-(white background:1.1),mid_shot,(bust:1.1),upper_body,realistic,front portrait of a man,30 years old,deep_skin,(square face:1.1),(silver hair:1.1),cocked eyebrow,blue eyes,big nose,thick lips,grin,teeth,long hair,in summer,blue t-shirt,
-(illustration of a boy riding bike:1.2),white_background,outline,
-0,
-123.60.67.167
-1, find oldones/ -type f -name 'a*' -delete
-2,
-scp -r local_path/ [email protected]:/remote_path/
-Ctrl+z
-bg
-然而，使用高性能文件传输工具rsync是一个更好的选择。
-rsync -aPz sourcefolder/ [email protected]:/root/destinationfolder/
-3, 多个python版本共存/自由切换
-https://github.com/pyenv/pyenv?tab=readme-ov-file#usage
-pyenv install 3.10.4
-配置环境变量（根据自己系统，PYENV_ROOT路径可能不同）
-export PYENV_ROOT=/usr/local/Cellar/pyenv/2.4.13/
-export PATH="$PYENV_ROOT/bin:$PATH"
-if which pyenv > /dev/null; then eval "$(pyenv init -)"; fi
-Switch between Python versions
-To select a Pyenv-installed Python as the version to use, run one of the following commands:
-pyenv shell <version> -- select just for current shell session
-pyenv local <version> -- automatically select whenever you are in the current directory (or its subdirectories)
-pyenv global <version> -- select globally for your user account
-pyenv versions
-4, nvm
-curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.1/install.sh | bash
-Close and reopen your terminal to start using nvm or run the following to use it now:
-export NVM_DIR="$HOME/.nvm"
-[ -s "$NVM_DIR/nvm.sh" ] && \. "$NVM_DIR/nvm.sh"  # This loads nvm
-[ -s "$NVM_DIR/bash_completion" ] && \. "$NVM_DIR/bash_completion"  # This loads nvm bash_completion
-nvm install 20.0.0
-nvm list
-5, du -h 显示目录占用空间大小情况
-如果显示太多，使用 --max-depth=1 控制显示的层级数，非常的方便好用
-6,
-Argument list too long error for rm, cp, mv commands
-解决：
-例子，
-删除： find . -name "*.pdf" -print0 | xargs -0 rm
-移动： find . -type f -name '*.mp3' -exec mv {} ../pron/ \;
-7,
-tar 压缩加密
-tar -czvf - path2folder/ | openssl des3 -salt -k xyxyxyxyx -out ./file.tar.gz
-tar 解压
-openssl des3 -d -k xyxyxyxyx -salt -in file.tar.gz | tar xzf -
-8, How can I check if my CPU is AMD64 compatible?
-lscpu
-cat /proc/cpuinfo
-Architecture:          i686
-CPU op-mode(s):        32-bit, 64-bit
-Byte Order:            Little Endian
-CPU(s):                4
-On-line CPU(s) list:   0-3
-Thread(s) per core:    2
-Core(s) per socket:    2
-Socket(s):             1
-Vendor ID:             GenuineIntel
-CPU family:            6
-Model:                 42
-Stepping:              7
-CPU MHz:               2301.000
-BogoMIPS:              4589.37
-Virtualization:        VT-x
-L1d cache:             32K
-L1i cache:             32K
-L2 cache:              256K
-L3 cache:              3072K
-For Intel systems, the Vendor ID is - GenuineIntel and for AMD - AuthenticAMD.
-But they are compatible. It is a bit of an historical artifact in that AMD was the creator of the 64 bit 'long' mode, and later Intel matched that creation.
-But naming often refers to any 64 bit binary as an AMD/64bit format, usually with the label 'AMD64'.