首先，我可以确定来看我的文章的,要么是对NovelAI感兴趣的或者是不知道怎么在本地部署Novel，或者部署遇到各种bug的，我这里踩了很多的bug，部署出现的问题如果遇到 差不多的情况，希望我的解决方法对你有所帮助。
前言
自从NovelAI模型泄露到现在，热度一直居高不下，基本上都有很多人在本地部署NovelAI，不过有很多人还是部署失败，我尝试了很多次，也踩了很多的bug，希望我的文章对你有所帮助。
注意事项，电脑配置不高的可跳过
我的一些碎碎念
配置NovelAI需要一个好的显卡，显存很重要，越大的就越好，显卡低的虽然也可以跑，不过爆的概率太大了，还有最重要的性能，关系到你的出图的时间。
还需要安装好CUDA驱动，我在下面出一下CUDA安装的教程方法，一起吧，不需要翻来覆去的去找教程了
首先准备好我们的准备工作（必须）
我们先去官网下载，下载最新版即可，下载旧版本也可以，不过不能低于3.10版本（这里最好下载3.10.8，最新版已弃用torch）。
把PIP源改成清华的源（部分可能无法下载），也可以用本来的，不过那个下载速度不保证
1 | pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple |
NovelAI.leak.Part1 (novelaileak)(必须) (约52.06GiB)
这个包包含了NovelAI的生产模型，大概是10月份泄露的吧，这个是必要的下载包，不一定要下载全部，你只需要下载里面名叫stableckpt包即可，我们需要的模型都在里面，其它的我也不知道是什么，反正是用不上的（大雾）。
1 | magnet:?xt=urn:btih:5bde442da86265b670a3e5ea3163afad2c6f8ecc |
还有一个是NovelAI.leak.Part2 (novelaileakpt2)(可选)(约124.53GiB)
这个包还包含了NovelAI的一些额外模型，比较有用是GPT模型，这个就交给那些大佬来操作，我这个萌新不知道怎么用，可以选择性的下载，这个是别人分享的磁力链（里面加了很多tracker）
1 | 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CUDA安装（不需要的可跳过）
安装教程
先查询自己的版本是支持的最高版本是多少，我们用命令nvidia-smi来查询你的电脑支持的最高版本！
这里由于我有安装CUDA，这里是不会显示什么的，你没有安装的话，这里会显示你电脑可以安装的版本，右上角显示的是你支持的最高的版本号，不要安装的太高，低于上面的版本就行（如我安装的是11.6版本，我电脑也支持11.7）。
然后我们进入CUDA的官网,下载对应的版本，也可以下载低一点的版本，不一定下载高版本，我感觉都差不多
对应自己的系统来下载，别下载其它系统的CUDA虽然不知道有什么bug，不过还是下载自己对应的系统比较好，因为我的是windows 11所以我下载的是11的版本
离线版是把整个版本下载下来（需要下很久），网络版是给你一个安装程序，等它加载所有的CUDA就可以安装，两个区别不大，看你想要下载哪个了
下载好后就是安装，这里其它的都是默认，只有一个是选择，我截图就截这一张，以免你们看多了懵（主要是我懒）。
这里选择自定义安装
这里全部选择安装，不要想这么多。
后面的安装路径你可以自己改，不过我还是推荐用默认路径。
安装完成后下面我们用cmd来查询自己是否安装成功
cuDNN下载及安装
我们先点击下面的链接，我们需要去注册一个账号，里面的信息随便填，反正
打上勾，选择存档的cuDNN版本
找到自己对应的版本
没有找到自己对应的版本号，选择后面有x符号的（比如我的11.6.55，我安装的就是cuDNN v8.5.0版本）。
然后选择windows的压缩包，如果你是其它的系统自行选择对应的安装包。
把下面的安装包直接解压到路径下
找不到文件路径自己去高级变量那里看，安装的时候，它直接默认安装了环境变量
添加至系统变量
开始验证安装是否成功
往系统环境变量中的 Path 添加如下路径（根据自己的路径进行修改）
这里的是我的安装路径，你自己改过就自己改成自己自定义安装路径
在这个路径下cmd点击enter回车，打开命令框
如我的是C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\extras\demo_suite
执行deviceQuery.exe和bandwidthTest.exe两个exe文件
下面你还看见了deviceQuery这些信息，可以通过信息看出来11.6是所支持的最高版本的CUDA，后面的Runtime Version是实际运行的时候使用的CUDA版本，最后面Device0是第一块显卡的意思，如果你有多个显卡就会显示Device1。
部署
配置stable-diffusion-webui环境
这里上面有讲，这里开始这会自动帮你配置好Venv环境以及依赖，不过前提不要遇到什么
bug,这里我放一些我遇到的bug啊，你们的有一些部署产生的问题，有一些是显卡不支持，有的是爆显存了，内存我推荐16G的，NovelAI运行的需要要求很高，低一点的也可以，不过那样很烧显卡，管端那边跑起来最低都是11GB+开始，想正常运行就更恐怖，需要20GB+了，这个已经是属于企业用的显卡范畴了。下面显示我的模块需要更新，我以为是我的需要更新，
pip list查询是已经更新了的，后面发现是stable-diffusion-webui文件夹里面的模块没有更新，这需要你定位到stable-diffusion-webui-cn\venv\Scripts下进行更新，显示这个有点烦，眼不见为净的可以去更新一下（听说是可以不用更新，不过我感觉还是更新了好，毕竟显示在那里碍眼，没有显示的不用管）如果显示这样的是因为你没有开启魔法，安装过程对网络要求较高，需要你自己去开启魔法。
这里再附上DeepDanbooru下载，这是针对二次元图片的tag属性识别算法。
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https://github.com/KichangKim/DeepDanbooru/releases
下载好之后把它放在
table-diffusion-webui\models\deepbooru文件夹下（全部解压到这个文件夹下）复制粘贴模型
前面我们下载了
novelaileak的模型，现在我们去novelaileak\stableckpt中选择一个模型，这里选择最多的是animefull-final-pruned模型（如果硬盘空间足够，可以都全部复制过来），然后把它的model.ckpt复制到stable-diffusion-webui\models\Stable-diffusion。模型更改及优化（重要）
模型文件配置
如果你有去复制多个模型，你都会看见模型目录下都有
animevae.pt文件，这个是vae模型，里面包含了一些NovelAI官方的调优参数，直接复制到stable-diffusion-webui\models\Stable-diffusion文件夹下，并改名模型名称.vae.pt（如我的是novelailatest-pruned.ckpt,那么vae模型就该叫novelailatest-pruned.vae.pt）启动的时候你如果看见
Loading VAE weights from:XXXX就表明你vae配置成功了（如下图）。添加config
在模型文件夹下都有一个
config文件，你用哪个模型就把它的config.yml文件放到stable-diffusion-webui\models\Stable-diffusion文件夹下，并且改名模型名称.yaml（如我的模型重命名为novelailatest-pruned.ckpt，那config文件改名为novelailatest-pruned.yaml）。添加hypernetworks模型
去自己下载的模型文件下
novelaileak\stableckpt\modules\modules里面的文件全部复制粘贴到stable-diffusion-webui\models\hypernetworks下（你在复制模型文件的时候有看见）。这样你可以在
Settings-Stable Diffusion-Stable Diffusion finetune hypernetwork选择你想要的hypernetwork模型。这一参数影响图像的画风，每张图及每个人的所适用的hypernetwork模型都是不同的，你按照你自己的喜好来。
修改Ignore last layers of CLIP model（配好再看）
听说这是NovelAI官方搞的小动作，如果保持默认和管端显示有很大的差距，将
Settings-Stable Siffusion-Ignore last layers of CLIP model改成2即可。开始部署stable-diffusion-webui
碎碎念
这里是大部分都配置不行的地方,主要的问题有显存爆了,要么就是你的电脑不支持,或者遇到
python报的错误去官网上找不到答案,还有你的CUDA没有安装(有一些是这个没有安装报的错),或者是你的电脑不支持部署NovelAI,它配置需要的要求很高,你想配低一点我这里只有一部分教程适合你,想配在本地又电脑配置不够你只能去找想相关的教程1
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8```text
# 下载stable-diffusion-webui
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
# 用管理员身份cd你的文件夹根目录下
cd stable-diffusion-webui
#运行此文件
webui-user.bat
```基本上到这里就已经完成了，如果你的还没有部署成功，一般都是电脑配置太低或者你的显卡不是N卡，要么就是不会魔法。
