【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
通问AI4 小时前
2026年AI短剧技术现状:全链路AIGC生产已达95%,但用户完播率不足15%
人工智能·aigc
大鹏的NLP博客7 小时前
机器学习中的统计波动控制与表征几何优化原则:从函数稳定性到隐空间结构学习
人工智能·深度学习·机器学习
灵感__idea7 小时前
《AI工程》:构建应用,需要哪些技术?(解惑篇)
aigc·openai·ai编程
chenment9 小时前
ComfyUI 自定义节点开发:从零扩展你的图像生成工作流
python·stable diffusion
ServBay10 小时前
AI 时代的供应商锁定风险,开发者和企业如何保持主动权
aigc·ai编程
Miracleeee11 小时前
当 Skill 放大一万倍,它就变成了 Memory——从渐进式披露到动态上下文的工程演进
aigc·openai
墨风如雪13 小时前
Hermes Agent 实战:让它去 X 上给我盯 AI 圈的一手消息
aigc
春风野草14 小时前
AI Agent 前端驾驶舱实战:复杂流程如何做成用户看得懂、敢操作的界面
aigc·ai编程
LaughingZhu14 小时前
Product Hunt 每日热榜 | 2026-07-27
人工智能·深度学习·神经网络·搜索引擎·产品运营
万里鹏程转瞬至15 小时前
论文简读:Boogu-Image 图像生成与编辑模型
论文阅读·深度学习·aigc