NovelAI WEBUI部署从入门到入土

博主： XCwosjw
发布时间：2022 年 10 月 10 日
2466 次浏览
1 条评论
30167字数
分类：开发

<div class="tip share">请注意，本文编写于 163 天前，最后修改于 17 天前，其中某些信息可能已经过时。</div>

2022-11-27更新 ：本文部分或全部内容已过时，任何有关NovelAI与stable-diffusion-webui的问题请优先参考由社区维护的[wiki](https://draw.dianas.cyou/)

## 零.前言

最近NovelAI模型泄露的事可谓是闹得沸沸扬扬，一眨眼我小破站的首页推荐全都是这玩意，但我逛了一圈，却没有找到一个系统的NovelAI部署以及后续使用的教程，便打算写一篇~~来充充博客门面~~。

## 一.准备工作

### 1.Python 3.x (必须)

直接去[Python官网](https://www.python.org/downloads/windows/)下载最新的版本3.x版本即可
别忘了把PIP源改成清华`pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple`

### 2.NovelAI.leak.Part1 (novelaileak)(必须) (约52.06GiB)

该包中包含了NovelAI的生产模型(大概是10月6日的？)，必须下载
这里仅提供磁链（我自己加了好多tracker），网盘分流你可以自己找

```
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```

</details>

### 2.NovelAI.leak.Part2 (novelaileakpt2)(可选)(约124.53GiB)

该包中包含了NovelAI的一些额外模型，比较有用的是里面的GPT模型，可惜我们暂时还不会用，可选下载
这里仅提供磁链（我自己加了好多tracker），网盘分流你可以自己找

```
magnet:?xt=urn:btih:a20087e7807f28476dd7b0b2e0174981709d89cd&dn=novelaileakpt2&tr=udp%3a%2f%2ftracker.openbittorrent.com%3a6969%2fannounce&tr=http%3a%2f%2f1337.abcvg.info%3a80%2fannounce&tr=udp%3a%2f%2f%5b2001%3a1b10%3a1000%3a8101%3a0%3a242%3aac11%3a2%5d%3a6969%2fannounce&tr=http%3a%2f%2ffxtt.ru%3a80%2fannounce&tr=http%3a%2f%2fi-p-v-6.tk%3a6969%2fannounce&tr=http%3a%2f%2fipv6.1337.cx%3a6969%2fannounce&tr=http%3a%2f%2fipv6.govt.hu%3a6969%2fannounce&tr=http%3a%2f%2fjp.moeweb.pw%3a6969%2fannounce&tr=http%3a%2f%2fopen-v6.demonoid.ch%3a6969%2fannounce&tr=udp%3a%2f%2fopen.tracker.ink%3a6969%2fannounce&tr=http%3a%2f%2ft.nyaatracker.com%3a80%2fannounce&tr=http%3a%2f%2ft.overflow.biz%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.birkenwald.de%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.dler.com%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.dler.org%3a6969%2fannounce&tr=http%3a%2f%2ftracker.gbitt.info%3a80%2fannounce&tr=http%3a%2f%2ftracker.ipv6tracker.ru%3a80%2fannounce&tr=http%3a%2f%2ftracker.k.vu%3a6969%2fannounce&tr=http%3a%2f%2fvps02.net.orel.ru%3a80%2fannounce&tr=https%3a%2f%2ftr.burnabyhighstar.com%3a443%2fannounce&tr=https%3a%2f%2ftr.fuckbitcoin.xyz%3a443%2fannounce&tr=https%3a%2f%2ftracker.expli.top%3a443%2fannounce&tr=https%3a%2f%2ftracker.foreverpirates.co%3a443%2fannounce&tr=https%3a%2f%2ftracker.gbitt.info%3a443%2fannounce&tr=https%3a%2f%2ftracker.kuroy.me%3a443%2fannounce&tr=https%3a%2f%2ftracker.lilithraws.org%3a443%2fannounce&tr=https%3a%2f%2ftracker.loligirl.cn%3a443%2fannounce&tr=https%3a%2f%2ftracker.moeblog.cn%3a443%2fannounce&tr=https%3a%2f%2ftracker.tamersunion.org%3a443%2fannounce&tr=https%3a%2f%2ftracker1.520.jp%3a443%2fannounce&tr=https%3a%2f%2ftracker2.ctix.cn%3a443%2fannounce&tr=http%3a%2f%2f207.241.226.111%3a6969%2fannounce&tr=http%3a%2f%2f207.241.231.226%3a6969%2fannounce&tr=udp%3a%2f%2f6ahddutb1ucc3cp.ru%3a6969%2fannounce&tr=udp%3a%2f%2f91.216.110.52%3a451%2fannounce&tr=udp%3a%2f%2f%5b2001%3a470%3a1%3a189%3a0%3a1%3a2%3a3%5d%3a6969%2fannounce&tr=udp%3a%2f%2f%5b2a03%3a7220%3a8083%3acd00%3a%3a1%5d%3a451%2fannounce&tr=udp%3a%2f%2f%5b2a0f%3ae586%3af%3af%3a%3a220%5d%3a6969%2fannounce&tr=udp%3a%2f%2fadmin.52ywp.com%3a6969%2fannounce&tr=udp%3a%2f%2fbananas.space%3a6969%2fannounce&tr=udp%3a%2f%2fblack-bird.ynh.fr%3a6969%2fannounce&tr=udp%3a%2f%2fcamera.lei001.com%3a6969%2fannounce&tr=http%3a%2f%2fchouchou.top%3a8080%2fannounce&tr=udp%3a%2f%2fepider.me%3a6969%2fannounce&tr=udp%3a%2f%2fexodus.desync.com%3a6969%2fannounce&tr=udp%3a%2f%2ff1sh.de%3a6969%2fannounce&tr=udp%3a%2f%2ffe.dealclub.de%3a6969%2fannounce&tr=udp%3a%2f%2fh85-235-17-132.cust.a3fiber.se%3a6969%2fannounce&tr=udp%3a%2f%2fhtz3.noho.st%3a6969%2fannounce&tr=udp%3a%2f%2fipv4.tracker.harry.lu%3a80%2fannounce&tr=udp%3a%2f%2fipv6.tracker.monitorit4.me%3a6969%2fannounce&tr=udp%3a%2f%2fjutone.com%3a6969%2fannounce&tr=udp%3a%2f%2flaze.cc%3a6969%2fannounce&tr=udp%3a%2f%2fmail.artixlinux.org%3a6969%2fannounce&tr=udp%3a%2f%2fmail.zasaonsk.ga%3a6969%2fannounce&tr=udp%3a%2f%2fmirror.aptus.co.tz%3a6969%2fannounce&tr=udp%3a%2f%2fmovies.zsw.ca%3a6969%2fannounce&tr=udp%3a%2f%2fnew-line.net%3a6969%2fannounce&tr=udp%3a%2f%2fopen.4ever.tk%3a6969%2fannounce&tr=udp%3a%2f%2fopen.demonii.com%3a1337%2fannounce&tr=udp%3a%2f%2fopen.free-tracker.ga%3a6969%2fannounce&tr=udp%3a%2f%2fopen.stealth.si%3a80%2fannounce&tr=http%3a%2f%2fopen.tracker.ink%3a6969%2fannounce&tr=udp%3a%2f%2fpsyco.fr%3a6969%2fannounce&tr=udp%3a%2f%2frekcart.duckdns.org%3a15480%2fannounce&tr=udp%3a%2f%2fsanincode.com%3a6969%2fannounce&tr=udp%3a%2f%2fstatic.202.35.76.144.clients.your-server.de%3a6969%2fannounce&tr=udp%3a%2f%2fstatic.54.161.216.95.clients.your-server.de%3a6969%2fannounce&tr=udp%3a%2f%2ftamas3.ynh.fr%3a6969%2fannounce&tr=udp%3a%2f%2fthouvenin.cloud%3a6969%2fannounce&tr=udp%3a%2f%2ftorrentclub.space%3a6969%2fannounce&tr=udp%3a%2f%2ftorrents.artixlinux.org%3a6969%2fannounce&tr=udp%3a%2f%2ftracker-udp.gbitt.info%3a80%2fannounce&tr=udp%3a%2f%2ftracker.altrosky.nl%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.beeimg.com%3a6969%2fannounce&tr=http%3a%2f%2ftracker.birkenwald.de%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.blacksparrowmedia.net%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.cyberia.is%3a6969%2fannounce&tr=http%3a%2f%2ftracker.dler.com%3a6969%2fannounce&tr=http%3a%2f%2ftracker.dler.org%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.moeking.me%3a6969%2fannounce&tr=http%3a%2f%2ftracker.srv00.com%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.torrent.eu.org%3a451%2fannounce&tr=udp%3a%2f%2ftracker2.dler.org%3a80%2fannounce&tr=udp%3a%2f%2ftracker2.itzmx.com%3a6961%2fannounce&tr=udp%3a%2f%2fuploads.gamecoast.net%3a6969%2fannounce&tr=udp%3a%2f%2fvibe.sleepyinternetfun.xyz%3a1738%2fannounce&tr=udp%3a%2f%2fwww.torrent.eu.org%3a451%2fannounce&tr=udp%3a%2f%2fyahor.ftp.sh%3a6969%2fannounce&tr=udp%3a%2f%2fzecircle.xyz%3a6969%2fannounce&tr=http%3a%2f%2f%5b2001%3a1b10%3a1000%3a8101%3a0%3a242%3aac11%3a2%5d%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.theoks.net%3a6969%2fannounce&tr=http%3a%2f%2fwepzone.net%3a6969%2fannounce&tr=http%3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%3a6969%2fannounce&tr=udp%3a%2f%2fbt.ktrackers.com%3a6666%2fannounce&tr=http%3a%2f%2ftracker.mywaifu.best%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.artixlinux.org%3a6969%2fannounce&tr=http%3a%2f%2ftracker1.itzmx.com%3a8080%2fannounce&tr=http%3a%2f%2ftorrenttracker.nwc.acsalaska.net%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce&tr=udp%3a%2f%2fapp.icon256.com%3a8000%2fannounce&tr=udp%3a%2f%2fkeke.re%3a6969%2fannounce&tr=udp%3a%2f%2fmserver.link%3a6969%2fannounce&tr=udp%3a%2f%2ftracker3.itzmx.com%3a6961%2fannounce&tr=https%3a%2f%2fopentracker.i2p.rocks%3a443%2fannounce&tr=udp%3a%2f%2fadmin.videoenpoche.info%3a6969%2fannounce&tr=http%3a%2f%2ftracker.openbittorrent.com%3a80%2fannounce&tr=https%3a%2f%2ftracker.nanoha.org%3a443%2fannounce
```

</details>

### 3.stable-diffusion-webui (必须)

一个webui，在[Github](https://github.com/AUTOMATIC1111/stable-diffusion-webui)上开源
直接`git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git` 来安装（如果你没有Git，请访问[Git官网](https://git-scm.com/)来安装Git）

**注意！** 目前`stable-diffusion-webui`迭代非常快，每天都会有大量更新，因此建议每天都拉取最新代码。

### 4.官端 (可选)

先说下结论，在经过最后的优化后，官端与webui通过DIMM采样生成的图像质量已经几乎一致，但Eula仍有差距。有人可能会问，为啥要教部署webui而不是官端呢？因为官端想要跑起来需要至少11GB+的显存，想正常运行不容易爆显存就更恐怖了，需要20GB+，这已经不属于正常游戏显卡的范畴了。

如果你还是想部署官端，可以参考[这篇文章](https://telegra.ph/NovelAI%E5%8E%9F%E7%89%88%E9%83%A8%E7%BD%B2%E6%95%99%E7%A8%8B-10-07)

### 5.一块好Nvida显卡

显存大小很重要，越大越好，但低显存也能跑，只是容易爆，反正我没测试过最低支持多少。
性能也很重要，直接关系到出图时间。
记得安好CUDA驱动

## 二.部署

### 1.配置stable-diffusion-webui环境

这里就懒得多讲了，直接用stable-diffusion-webui自带的脚本一把梭。(注意！一定要科学上网，否则你将会痛不欲生！)

```
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui
webui-user.bat
```

这会自动帮你配置好Venv环境以及依赖。

### 2.复制粘贴

去前面你下载的`novelaileak\stableckpt`中挑一个你顺眼的模型，这里推荐选择`animefull-final-pruned`（当然你硬盘足够大的话全复制也没关系）,然后把它的`model.ckpt`复制到`stable-diffusion-webui\models\Stable-diffusion`，并改个容易辨识的名称。

部署教程结束咯

## 三.使用

### 1.启动&各分区功能详解

直接运行webui.bat即可，正常的话它最后会输出`Running on local URL:  http://127.0.0.1:XXXX` （如果你二-1没出问题的话） ，直接访问这个链接即可
一般来说你会看到以下界面
![](https://img.xcwosjw.com/i/2023/03/05/64043838ede0d.jpg)

#### txt2img

根据 Prompt 和 Negative Prompt 以及相关参数来生成图像，其实就是把文字转换成图像

#### img2img

根据你所提供的图像和 Prompt 与 Negative Prompt 以及相关参数来生成图像，基本上是在你所提供的图像的基础上根据 Prompt 与 Negative Prompt 以及相关参数来修改，一般被用于对txt2img中生成的比较满意的图像进行细节修改

#### Extras

通过超分辨率算法来对图像进行放大。因为低显存显卡无法直接在txt2img中生成高分辨率图片，因此就需要用到 Extras 来进行放大

#### PNG Info

可以查看由 stable-diffusion-webui 所所处理过的图片所使用的参数，包括 Prompt , Negative Prompt , Steps , Sampler , CFG scale , Seed , Face restoration , Size , Model hash 等等

#### Checkpoint Merger

用于混合2个模型，混合后的模型会兼有2个模型的风格，至于偏向哪个模型就看你设置的混合比例了

#### Textual inversion

拿来训练的。一般人用不着，用得着的也不用我教

#### Settings

基本上没啥好调的。~~你可以在`Settings-Stable Diffusion-Stable Diffusion checkpoint`选择你想要的模型。记得点`Apply settings`！~~
最新版stable-diffusion-webui已经可以在txt2img的左上角调整模型

### 2.参数详解

**Prompt** webui会根据此参数来生成图像，会尽可能包含Prompt中描述的元素。目前仅支持英文（和极少的几个颜文字），Prompt 是决定图像质量的最重要的参数之一

附上一张群友的 <span class="label bg-light dk"></span>(https://zcyzcy88.github.io/TagTable/A/Sheet1.html)

**Negative Prompt** webui会根据此参数来生成图像，会避免出现Negative Prompt中描述的元素。目前仅支持英文，Negative Prompt 同样是是决定图像质量的最重要的参数之一

下面的解释来自TG群友

> **Step**: 迭代多少次, 取值和 sampling method 有关, DDIM 收敛较快, 见 https://www.reddit.com/r/StableDiffusion/comments/wwm2at/sampler_vs_steps_comparison_low_to_mid_step_counts  我用 DDIM 取 20 够了.
>
> **Batch count/batch size**: 决定生成的图片数量, 显存够就加 batch size, 不够就 batch count, 得到的图片数量是两者之积 (小显存还是只动 count 就好)
>
> **Sampling method**: 我无脑 DDIM, Eula 也挺好用? (带 a 的是 ancient 的意思, step 增长出图不稳定)
>
> **Cfg scale**: 符合 prompt 的程度, 值越高越会字面看待 prompt, 低则给模型较大的发挥空间, 但是实际模型表现上来看 cfg scale 低 (6-8) 饱和度低, 偏线稿, 偏杂乱, 高 (18-22) 则饱和度偏高, 偏 CG 风格.
>
> **Denoise Strength**: img2img 专属参数, 从 0 到 1 取值, 值越高 AI 对原图的参考程度就越低 (同时增加迭代次数), 我个人喜欢低 cfg 高 denoise 重绘图, 高 cfg 低 denoise 改细节.

## 四.优化

其实这才是重头戏

### 1.添加vae模型

细心地你可能已经发现了，无论是`novelaileak`还是`novelaileakpt2`，它的模型目录下都有一个叫`animevae.pt`的文件，这就是vae模型（它应该适用于所有NovelAI泄露模型），里面包含一些NovelAI官方的调优参数，直接把它复制丢到`stable-diffusion-webui\models\Stable-diffusion`下，并改名成`模型名称.vae.pt`（假如你在二-2中将模型重命名为了`NovelAI-final-pruned.ckpt`，那vae模型就该叫`NovelAI-final-pruned.vae.pt`）

启动时你如果能看到`Loading VAE weights from:XXXX`就说明你vae配置成功了

### 2.添加config

细心地你可能同样发现了，每个单独的模型文件夹中除了`model.ckpt`还有一个`config.yaml`，你用的是哪个模型就把它对应的`config.yaml`丢到`stable-diffusion-webui\models\Stable-diffusion`下，并改名成`模型名称.yaml`（假如你在二-2中将模型重命名为了`NovelAI-final-pruned.ckpt`，那config就该叫`NovelAI-final-pruned.yaml`）

### 3.添加hypernetworks模型

直接将`novelaileak\stableckpt\modules\modules`下所有文件复制到`stable-diffusion-webui\models\hypernetworks`下，简单粗暴

你可以在`Settings-Stable Diffusion-Stable Diffusion finetune hypernetwork`选择你想要的hypernetwork模型

**注意！** 这一参数更多的是影响图像画风而不是图像质量，每张图以及每个人(个人口味)所适用的hypernetwork模型都是不同的！

### 4.修改Ignore last layers of CLIP model

这是NovelAI官方搞的小动作之一，如果将该选项保持默认会和官端有很大差距。
将`Settings-Stable Siffusion-Ignore last layers of CLIP model`改成2即可

**注意！** 该参数仅适用于NovelAI泄露模型，别的模型请调回0！

### 5.使用Xformers

Xformers在生成高分辨率图片时能显著的提高图像生成速度。

#### 30/40系卡

直接用文本编辑软件打开`webui-user.bat`，在`COMMANDLINE_ARGS=`后添加`--xformers`即可
然后你那一行就应该长得像这样

```
set COMMANDLINE_ARGS=--xformers
```

####

#### 其他卡

其他卡需要手动编译。
**注意！** 根据Github上的说法，编译Xformers需要你的电脑上有Visual Studio 2022(且已安装Desktop development with C++)和[CUDA工具包11.8](https://developer.nvidia.com/cuda-downloads)

```
cd stable-diffusion-webui\repositories
git clone https://github.com/facebookresearch/xformers.git
cd xformers
git submodule update --init --recursive
stable-diffusion-webui\venv\Scripts\activate.bat
cd stable-diffusion-webui\repositories\xformers
pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu113
pip install -r requirements.txt
pip install wheel
set NVCC_FLAGS=-allow-unsupported-compiler
python setup.py build
python setup.py bdist_wheel
```

喝杯茶，大概要花30多分钟。
中途可能会报些错，但只要最后在`dist`目录中生成了`xformers-XXXX.whl`就没问题
将`xformers-XXXX.whl`复制到`stable-diffusion-webui`目录，然后

```
stable-diffusion-webui\venv\Scripts\activate.bat
cd stable-diffusion-webui
pip install xformers-XXXX.whl
```

~~报错？报错那就不用呗~~
~~报错可以尝试`pip install -U setuptools`更新setuptools~~

如果最后`Successfully installed Xformers`啥的，就说明你安装成功了。接下来我们要启用Xformers
用文本编辑软件打开`webui-user.bat`，在`COMMANDLINE_ARGS=`后添加`--force-enable-xformers`
然后你那一行就应该长得像这样

```
set COMMANDLINE_ARGS=--force-enable-xformers
```

运行webui，尝试出张图，如果没报错就成了

报错？报错那就把 `--force-enable-xformers`删了呗

## 五.FAQ

### 1.16系显卡生成黑色/绿色图

模仿四-5，在启动参数加 `--precision full --no-half`

### 2.显存不够

模仿四-5，在启动参数加 `--medvram` 或 `--lowvram`

### 3.目录结构

```
./models
├── Codeformer
├── ESRGAN
├── GFPGAN
├── hypernetworks
│   ├── aini.pt
│   ├── anime_2.pt
│   ├── anime_3.pt
│   ├── anime.pt
│   ├── furry_2.pt
│   ├── furry_3.pt
│   ├── furry_kemono.pt
│   ├── furry_protogen.pt
│   ├── furry.pt
│   ├── furry_scalie.pt
│   ├── furry_transformation.pt
│   └── pony.pt
├── LDSR
├── Stable-diffusion
│   ├── NovelAI-final-pruned.ckpt -> novelai 的 model.ckpt (pruned)
│   ├── NovelAI-final-pruned.vae.pt -> novelai 的 animevae.pt
│   └── NovelAI-final-pruned.yaml -> novelai 的 model.ckpt (pruned) 的 config.yaml
└── SwinIR
```

### 4.高分辨率下出怪图

来自[https://gist.github.com/crosstyan/f912612f4c26e298feec4a2924c41d99](https://gist.github.com/crosstyan/f912612f4c26e298feec4a2924c41d99)

> 我原本以为是低显存触发 split attention 会这样, 不过似乎不管显存高低高分辨率都容易出怪东西.
>
> 群友的修复方法 ([source](https://t.me/StableDiffusion_CN/33227))
>
>> 1. 使用 —medvram 或者 —lowvram 参数启动webui
>> 2. 正常输入 prompt，选择较小分辨率生成图片。记住你生成图片的分辨率。生成完毕之后，复制图片的Seed。
>> 3. 重点来了！生成完毕后，先查看图片是否满意。如果效果满意，直接将图片扔进Img2img。可点击“Send to img2img”。
>> 4. 在img2img界面底部，有一 Script 选项。将 Script 选为 SD Upscale，里面的 Tile overlap 尽量调小。
>> 5. 一般地，扔进Img2img的图，会继承原txt2img的所有prompt和negative prompt。如果你发现prompt有变动，回到txt2img，复制prompt到img2img。
>> 6. 选择合适的Sampling Steps和Sampling method。
>> 7. 确认你的 Width 和 Height 与原图一致。这一步非常重要！这里的 Width 和 Height 是超分时 img2img 的图片分割大小，如果不合适会导致出现重叠问题。
>> 8. 将第 2 步复制的 Seed 填入img2img的 Seed 里。
>> 9. Generate！
>>
>
> 或者用 [highres-fix](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#highres-fix)
>
>> By default, txt2img makes horrible images at very high resolutions, and this makes it possible to avoid using the small picture's composition.
>>

### 5.我还是不会啊？

[NovelAI官网](https://novelai.net/)请，25刀解决一切问题

## 六.最后的碎碎念

~~域名买了3年。博客前前后后搭了5,6次，结果现在才写第一篇博文，我真tm丢人~~
其实都是群友研究出来的，我就是整理了下，群里还有更多资料→[https://t.me/StableDiffusion_CN](https://t.me/StableDiffusion_CN)

最后修改：2023 年 03 月 05 日

如果觉得我的文章对你有用，请随意赞赏

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NovelAI 优化版官端部署教程 - XCwosjw's Blog
November 27th, 2022 at 09:57 pm

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NovelAI WEBUI部署从入门到入土

XCwosjw • 2022 年 10 月 10 日

<div class="tip share">请注意，本文编写于 163 天前，最后修改于 17 天前，其中某些信息可能已经过时。</div>

2022-11-27更新 ：本文部分或全部内容已过时，任何有关NovelAI与stable-diffusion-webui的问题请优先参考由社区维护的[wiki](https://draw.dianas.cyou/)

## 零.前言

## 一.准备工作

### 1.Python 3.x (必须)

### 2.NovelAI.leak.Part1 (novelaileak)(必须) (约52.06GiB)

该包中包含了NovelAI的生产模型(大概是10月6日的？)，必须下载
这里仅提供磁链（我自己加了好多tracker），网盘分流你可以自己找

</details>

### 2.NovelAI.leak.Part2 (novelaileakpt2)(可选)(约124.53GiB)

</details>

### 3.stable-diffusion-webui (必须)

**注意！** 目前`stable-diffusion-webui`迭代非常快，每天都会有大量更新，因此建议每天都拉取最新代码。

### 4.官端 (可选)

如果你还是想部署官端，可以参考[这篇文章](https://telegra.ph/NovelAI%E5%8E%9F%E7%89%88%E9%83%A8%E7%BD%B2%E6%95%99%E7%A8%8B-10-07)

### 5.一块好Nvida显卡

显存大小很重要，越大越好，但低显存也能跑，只是容易爆，反正我没测试过最低支持多少。
性能也很重要，直接关系到出图时间。
记得安好CUDA驱动

## 二.部署

### 1.配置stable-diffusion-webui环境

这里就懒得多讲了，直接用stable-diffusion-webui自带的脚本一把梭。(注意！一定要科学上网，否则你将会痛不欲生！)

```
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui
webui-user.bat
```

这会自动帮你配置好Venv环境以及依赖。

### 2.复制粘贴

部署教程结束咯

## 三.使用

### 1.启动&各分区功能详解

#### txt2img

根据 Prompt 和 Negative Prompt 以及相关参数来生成图像，其实就是把文字转换成图像

#### img2img

#### Extras

通过超分辨率算法来对图像进行放大。因为低显存显卡无法直接在txt2img中生成高分辨率图片，因此就需要用到 Extras 来进行放大

#### PNG Info

可以查看由 stable-diffusion-webui 所所处理过的图片所使用的参数，包括 Prompt , Negative Prompt , Steps , Sampler , CFG scale , Seed , Face restoration , Size , Model hash 等等

#### Checkpoint Merger

用于混合2个模型，混合后的模型会兼有2个模型的风格，至于偏向哪个模型就看你设置的混合比例了

#### Textual inversion

拿来训练的。一般人用不着，用得着的也不用我教

#### Settings

### 2.参数详解

附上一张群友的 <span class="label bg-light dk"></span>(https://zcyzcy88.github.io/TagTable/A/Sheet1.html)

下面的解释来自TG群友

## 四.优化

其实这才是重头戏

### 1.添加vae模型

启动时你如果能看到`Loading VAE weights from:XXXX`就说明你vae配置成功了

### 2.添加config

### 3.添加hypernetworks模型

直接将`novelaileak\stableckpt\modules\modules`下所有文件复制到`stable-diffusion-webui\models\hypernetworks`下，简单粗暴

你可以在`Settings-Stable Diffusion-Stable Diffusion finetune hypernetwork`选择你想要的hypernetwork模型

**注意！** 这一参数更多的是影响图像画风而不是图像质量，每张图以及每个人(个人口味)所适用的hypernetwork模型都是不同的！

### 4.修改Ignore last layers of CLIP model

这是NovelAI官方搞的小动作之一，如果将该选项保持默认会和官端有很大差距。
将`Settings-Stable Siffusion-Ignore last layers of CLIP model`改成2即可

**注意！** 该参数仅适用于NovelAI泄露模型，别的模型请调回0！

### 5.使用Xformers

Xformers在生成高分辨率图片时能显著的提高图像生成速度。

#### 30/40系卡

直接用文本编辑软件打开`webui-user.bat`，在`COMMANDLINE_ARGS=`后添加`--xformers`即可
然后你那一行就应该长得像这样

```
set COMMANDLINE_ARGS=--xformers
```

####

#### 其他卡

```
stable-diffusion-webui\venv\Scripts\activate.bat
cd stable-diffusion-webui
pip install xformers-XXXX.whl
```

~~报错？报错那就不用呗~~
~~报错可以尝试`pip install -U setuptools`更新setuptools~~

```
set COMMANDLINE_ARGS=--force-enable-xformers
```

运行webui，尝试出张图，如果没报错就成了

报错？报错那就把 `--force-enable-xformers`删了呗

## 五.FAQ

### 1.16系显卡生成黑色/绿色图

模仿四-5，在启动参数加 `--precision full --no-half`

### 2.显存不够

模仿四-5，在启动参数加 `--medvram` 或 `--lowvram`

### 3.目录结构

### 4.高分辨率下出怪图

来自[https://gist.github.com/crosstyan/f912612f4c26e298feec4a2924c41d99](https://gist.github.com/crosstyan/f912612f4c26e298feec4a2924c41d99)

### 5.我还是不会啊？

[NovelAI官网](https://novelai.net/)请，25刀解决一切问题

## 六.最后的碎碎念

NovelAI WEBUI部署从入门到入土

1 条评论

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欢迎使用 Typecho

NovelAI WEBUI部署从入门到入土

NovelAI 优化版官端部署教程

利用前置NAT打洞让BT软件跑满上行带宽

利用前置NAT打洞让BT软件跑满上行带宽

NovelAI 优化版官端部署教程

欢迎使用 Typecho

NovelAI WEBUI部署从入门到入土

NovelAI WEBUI部署从入门到入土

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NovelAI WEBUI部署从入门到入土

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