Ai绘画本地部署使用

本篇主要介绍stable_diffsion的本地部署过程以及有哪些坑。

AI部署参考的主要教程是B站秋葉aaaki

下载他的最终版整合包，然后自己配置环境，没有使用启动器

首先anaconda创建一个新的环境（推荐创建新的，免去包冲突的问题）

然后进入解压后的项目目录下，激活创建的环境，使用pip命令安装依赖包

注意：这里的requirements.txt文件可能会有冲突，因此我导出了我配置好环境的依赖文件，复制进去替换掉原来的内容，torch的版本需要根据自己显卡环境调整

absl-py==1.4.0
accelerate==0.12.0
addict==2.4.0
aenum==3.1.11
aiofiles==23.1.0
aiohttp==3.8.4
aiosignal==1.3.1
altair==4.2.2
antlr4-python3-runtime==4.9.3
anyio==3.6.2
async-timeout==4.0.2
attrs==22.2.0
basicsr==1.4.2
beautifulsoup4==4.12.0
blendmodes==2022
boltons==23.0.0
cachetools==5.3.0
certifi==2022.12.7
chardet==4.0.0
charset-normalizer==3.1.0
clean-fid==0.1.29
click==8.1.3
clip @ git+https://github.com/openai/clip.git@a9b1bf5920416aaeaec965c25dd9e8f98c864f16
colorama==0.4.6
coloredlogs==15.0.1
contourpy==1.0.7
cssselect2==0.7.0
cycler==0.11.0
deprecation==2.1.0
docopt==0.6.2
einops==0.4.1
entrypoints==0.4
facexlib==0.2.5
fastapi==0.90.1
ffmpy==0.3.0
filelock==3.10.2
filterpy==1.4.5
flatbuffers==23.3.3
font-roboto==0.0.1
fonts==0.0.3
fonttools==4.39.2
frozenlist==1.3.3
fsspec==2023.3.0
ftfy==6.1.1
future==0.18.3
gdown==4.6.4
gfpgan==1.3.8
gitdb==4.0.10
GitPython==3.1.27
google-auth==2.16.2
google-auth-oauthlib==0.4.6
gradio==3.16.2
grpcio==1.51.3
h11==0.12.0
httpcore==0.15.0
httpx==0.23.3
huggingface-hub==0.13.3
humanfriendly==10.0
idna==2.10
imageio==2.26.1
inflection==0.5.1
invisible-watermark==0.1.5
Jinja2==3.1.2
jsonmerge==1.8.0
jsonschema==4.17.3
kiwisolver==1.4.4
kornia==0.6.7
lark==1.1.2
lazy_loader==0.2
linkify-it-py==2.0.0
llvmlite==0.39.1
lmdb==1.4.0
lpips==0.1.4
lxml==4.9.2
Markdown==3.4.2
markdown-it-py==2.2.0
MarkupSafe==2.1.2
matplotlib==3.7.1
mdit-py-plugins==0.3.5
mdurl==0.1.2
mpmath==1.3.0
multidict==6.0.4
networkx==3.0
numba==0.56.4
numpy==1.23.3
oauthlib==3.2.2
omegaconf==2.2.3
onnx==1.13.1
onnxruntime==1.14.1
open-clip-torch @ git+https://gitee.com/ufhy/open_clip.git@bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b
opencv-contrib-python==4.7.0.72
opencv-python==4.7.0.72
orjson==3.8.8
packaging==23.0
pandas==1.5.3
piexif==1.1.3
Pillow==9.4.0
pipreqs==0.4.11
protobuf==3.20.0
psutil==5.9.4
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycryptodome==3.17
pydantic==1.10.7
pyDeprecate==0.3.2
pydub==0.25.1
pyparsing==3.0.9
pyreadline3==3.4.1
pyrsistent==0.19.3
PySocks==1.7.1
python-dateutil==2.8.2
python-multipart==0.0.6
pytorch-lightning==1.7.6
pytz==2022.7.1
PyWavelets==1.4.1
PyYAML==6.0
realesrgan==0.3.0
regex==2023.3.22
reportlab==3.6.12
requests==2.25.1
requests-oauthlib==1.3.1
resize-right==0.0.2
rfc3986==1.5.0
rsa==4.9
safetensors==0.2.7
scikit-image==0.19.2
scipy==1.10.1
sentencepiece==0.1.97
six==1.16.0
smmap==5.0.0
sniffio==1.3.0
soupsieve==2.4
starlette==0.23.1
svglib==1.5.1
sympy==1.11.1
tb-nightly==2.13.0a20230317
tensorboard==2.12.0
tensorboard-data-server==0.7.0
tensorboard-plugin-wit==1.8.1
tifffile==2023.3.21
timm==0.6.7
tinycss2==1.2.1
tokenizers==0.13.2
toolz==0.12.0
torch==1.13.1+cu117
torchaudio==0.13.1+cu117
torchdiffeq==0.2.3
torchmetrics==0.11.4
torchsde==0.2.5
torchvision==0.14.1+cu117
tqdm==4.65.0
trampoline==0.1.2
transformers==4.25.1
typing_extensions==4.5.0
uc-micro-py==1.0.1
urllib3==1.26.15
uvicorn==0.21.1
wcwidth==0.2.6
webencodings==0.5.1
websockets==10.4
Werkzeug==2.2.3
yapf==0.32.0
yarg==0.1.9
yarl==1.8.2

在配置好环境后需要启动launch.py文件

启动时还可以配置参数：如python launch.py –no-half –no-half-vae –disable-nan-check

具体说明可以参见up主的教程和其他资料

下面是几张生成图的示例：

positive tags:

(((masterpiece))),best quality, illustration,(beautiful detailed girl),beautiful detailed glow,detailed ice,beautiful detailed water,(beautiful detailed eyes),expressionless,(floating palaces),azure hair,disheveled hair,long bangs, hairs between eyes,(skyblue dress),black ribbon,white bowties,midriff,{{{half closed eyes}}},big forhead,blank stare,flower,large top sleeves

negative tags:

owres,bad anatomy,bad hands,text,error,missing fingers,extra digit,fewer digits,cropped,worst quality,low quality,normal quality,jpeg artifacts,signature,watermark,username,blurry,missing fingers,bad hands,missing arms,large breasts