【深度学习 AIGC】stablediffusion-infinity 在无界限画布中输出绘画 Outpainting

代码:https://github.com/lkwq007/stablediffusion-infinity/tree/master

启动环境:

shell 复制代码
git clone --recurse-submodules https://github.com/lkwq007/stablediffusion-infinity
cd stablediffusion-infinity
conda env create -f environment.yml
conda activate sd-inf

# 一定更新一下!
conda install -c conda-forge diffusers transformers ftfy accelerate
conda update -c conda-forge diffusers transformers ftfy accelerate
pip install -U gradio

python app.py

修改了一下app.py的东西,最后面修改了ip和端口:

css 复制代码
launch_extra_kwargs = {
    "show_error": True,
    # "favicon_path": ""
}
launch_kwargs = vars(args)
launch_kwargs = {k: v for k, v in launch_kwargs.items() if v is not None}
print(launch_kwargs)
launch_kwargs.pop("remote_model", None)
launch_kwargs.pop("local_model", None)
launch_kwargs.pop("fp32", None)
launch_kwargs.pop("lowvram", None)
launch_kwargs.update(launch_extra_kwargs)
try:
    import google.colab

    launch_kwargs["debug"] = True
except:
    pass

if RUN_IN_SPACE:
    print("run in space")
    demo.launch()
elif args.debug:
    print(111111111)
    launch_kwargs["share"]=True
    launch_kwargs["server_name"] = "0.0.0.0"
    launch_kwargs["server_port"] = 8000
    demo.queue().launch(**launch_kwargs)
else:
    print(222222222)
    launch_kwargs["share"]=True
    launch_kwargs["server_name"] = "0.0.0.0"
    launch_kwargs["server_port"] = 8000
    demo.queue().launch(**launch_kwargs)

可以对照一下环境:

shell 复制代码
(sd-inf)   Thu Sep 14    20:59:37    /ssd/xiedong/stablediffusion-infinity  pip list
Package                       Version
----------------------------- ---------
absl-py                       1.3.0
accelerate                    0.22.0
aiofiles                      23.2.1
aiohttp                       3.8.1
aiosignal                     1.3.1
altair                        5.1.1
antlr4-python3-runtime        4.9.3
anyio                         3.6.2
async-timeout                 4.0.2
attrs                         23.1.0
backports.functools-lru-cache 1.6.4
bcrypt                        4.0.1
brotlipy                      0.7.0
cachetools                    5.2.0
certifi                       2023.7.22
cffi                          1.15.1
charset-normalizer            2.0.4
click                         8.1.3
cloudpickle                   2.0.0
cmake                         3.25.0
colorama                      0.4.6
commonmark                    0.9.1
contourpy                     1.0.6
cryptography                  38.0.1
cycler                        0.11.0
cytoolz                       0.12.0
dask                          2022.7.0
dataclasses                   0.8
datasets                      2.7.0
diffusers                     0.14.0
dill                          0.3.6
einops                        0.4.1
fastapi                       0.87.0
ffmpy                         0.3.0
filelock                      3.8.0
fonttools                     4.38.0
fpie                          0.2.4
frozenlist                    1.3.0
fsspec                        2022.10.0
ftfy                          6.1.1
google-auth                   2.14.1
google-auth-oauthlib          0.4.6
gradio                        3.44.2
gradio_client                 0.5.0
grpcio                        1.51.0
h11                           0.12.0
httpcore                      0.15.0
httpx                         0.23.1
huggingface-hub               0.17.1
idna                          3.4
imagecodecs                   2021.8.26
imageio                       2.19.3
importlib-metadata            5.0.0
importlib-resources           6.0.1
Jinja2                        3.1.2
joblib                        1.2.0
jsonschema                    4.19.0
jsonschema-specifications     2023.7.1
kiwisolver                    1.4.4
linkify-it-py                 1.0.3
llvmlite                      0.39.1
locket                        1.0.0
Markdown                      3.4.1
markdown-it-py                2.1.0
MarkupSafe                    2.1.1
matplotlib                    3.6.2
mdit-py-plugins               0.3.1
mdurl                         0.1.2
mkl-fft                       1.3.1
mkl-random                    1.2.2
mkl-service                   2.4.0
multidict                     6.0.2
multiprocess                  0.70.12.2
networkx                      2.8.4
numba                         0.56.4
numpy                         1.23.4
oauthlib                      3.2.2
omegaconf                     2.2.3
opencv-python                 4.6.0.66
opencv-python-headless        4.6.0.66
orjson                        3.8.2
packaging                     21.3
pandas                        1.4.2
paramiko                      2.12.0
partd                         1.2.0
Pillow                        9.2.0
pip                           22.2.2
protobuf                      3.20.3
psutil                        5.9.1
pyarrow                       8.0.0
pyasn1                        0.4.8
pyasn1-modules                0.2.8
pycparser                     2.21
pycryptodome                  3.15.0
pydantic                      1.10.2
pyDeprecate                   0.3.2
pydub                         0.25.1
Pygments                      2.13.0
PyNaCl                        1.5.0
pyOpenSSL                     22.0.0
pyparsing                     3.0.9
PySocks                       1.7.1
python-dateutil               2.8.2
python-multipart              0.0.5
pytorch-lightning             1.7.7
pytz                          2022.6
PyWavelets                    1.3.0
PyYAML                        6.0
referencing                   0.30.2
regex                         2022.4.24
requests                      2.28.1
requests-oauthlib             1.3.1
responses                     0.18.0
rfc3986                       1.5.0
rich                          12.6.0
rpds-py                       0.10.3
rsa                           4.9
sacremoses                    0.0.53
safetensors                   0.3.2
scikit-image                  0.19.2
scipy                         1.9.3
semantic-version              2.10.0
setuptools                    65.5.0
six                           1.16.0
sniffio                       1.3.0
sourceinspect                 0.0.4
starlette                     0.21.0
taichi                        1.2.2
tensorboard                   2.11.0
tensorboard-data-server       0.6.1
tensorboard-plugin-wit        1.8.1
tifffile                      2021.7.2
timm                          0.6.11
tokenizers                    0.11.4
toolz                         0.12.0
torch                         1.13.0
torchaudio                    0.13.0
torchmetrics                  0.10.3
torchvision                   0.14.0
tqdm                          4.64.1
transformers                  4.33.1
typing_extensions             4.3.0
uc-micro-py                   1.0.1
urllib3                       1.26.12
uvicorn                       0.20.0
wcwidth                       0.2.5
websockets                    10.4
Werkzeug                      2.2.2
wheel                         0.37.1
xxhash                        0.0.0
yarl                          1.7.2
zipp                          3.10.0

路径下建立一个stabilityai,然后下载stable-diffusion-2-inpainting放进去,sd-vae-ft-mse是stable-diffusion-2-inpainting/vae里的东西复制了一遍。

shell 复制代码
(sd-inf)   Thu Sep 14    21:00:31    /ssd/xiedong/stablediffusion-infinity  tree stabilityai/
stabilityai/
├── sd-vae-ft-mse
│   ├── config.json
│   ├── diffusion_pytorch_model.bin
│   ├── diffusion_pytorch_model.fp16.bin
│   ├── diffusion_pytorch_model.fp16.safetensors
│   └── diffusion_pytorch_model.safetensors
└── stable-diffusion-2-inpainting
    ├── 512-inpainting-ema.ckpt
    ├── 512-inpainting-ema.safetensors
    ├── feature_extractor
    │   └── preprocessor_config.json
    ├── merged-leopards.png
    ├── model_index.json
    ├── README.md
    ├── scheduler
    │   └── scheduler_config.json
    ├── sd-vae-ft-mse-original
    │   ├── README.md
    │   ├── vae-ft-mse-840000-ema-pruned.ckpt
    │   └── vae-ft-mse-840000-ema-pruned.safetensors
    ├── text_encoder
    │   ├── config.json
    │   ├── model.fp16.safetensors
    │   ├── model.safetensors
    │   ├── pytorch_model.bin
    │   └── pytorch_model.fp16.bin
    ├── tokenizer
    │   ├── merges.txt
    │   ├── special_tokens_map.json
    │   ├── tokenizer_config.json
    │   └── vocab.json
    ├── unet
    │   ├── config.json
    │   ├── diffusion_pytorch_model.bin
    │   ├── diffusion_pytorch_model.fp16.bin
    │   ├── diffusion_pytorch_model.fp16.safetensors
    │   └── diffusion_pytorch_model.safetensors
    └── vae
        ├── config.json
        ├── diffusion_pytorch_model.bin
        ├── diffusion_pytorch_model.fp16.bin
        ├── diffusion_pytorch_model.fp16.safetensors
        └── diffusion_pytorch_model.safetensors

然后就可以用了:



相关推荐
边缘常驻民20 分钟前
PyTorch深度学习入门记录3
人工智能·pytorch·深度学习
a1504631 小时前
人工智能——图像梯度处理、边缘检测、绘制图像轮廓、凸包特征检测
人工智能·深度学习·计算机视觉
数据智能老司机1 小时前
基础图谱增强检索生成(GraphRAG)——智能代理式 RAG
langchain·llm·aigc
阿坡RPA4 小时前
coze 开源版本地部署及踩过的坑【喂饭级教程】
开源·aigc
青梅主码4 小时前
Artificial Analysis《2025年上半年人工智能应用报告》Google、xAI、DeepSeek崛起,大模型洗牌
aigc·ai编程·deepseek
用户933371518055 小时前
【自媒体视频制作】那些音色逼真、效果一致,特别具有辨识度的短视频配音都是这样制作的
aigc
格林威5 小时前
Baumer工业相机堡盟工业相机如何通过YoloV8深度学习模型实现卫星图像识别(C#代码,UI界面版)
人工智能·深度学习·数码相机·yolo·计算机视觉
小溪彼岸15 小时前
初识Google Colab
google·aigc
小溪彼岸15 小时前
【Hugging Face】Hugging Face模型的基本使用
aigc
墨风如雪17 小时前
会“偷懒”的大模型来了:快手开源KAT-V1,终结AI“过度思考”
aigc