Stable diffusion捉虫记

系统重新安装之后就没用过这个东西，今天心血来潮，运行的时候发现跑不动了。由于盘符全部都变了，只能重新配置环境，安装好之后发现依然报错。

1.cuda 以及pytorch

UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 10020). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at ..\c10\cuda\CUDAFunctions.cpp:109.)

  return torch._C._cuda_getDeviceCount() > 0

Traceback (most recent call last):

  File "<string>", line 1, in <module>

AssertionError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check

解决办法：

1）安装cuda。

https://developer.nvidia.com/cuda-downloads?target_os=Windows&target_arch=x86_64&target_version=11&target_type=exe_network

底部显示的版本为：

Installation Instructions:
Double click cuda_12.3.1_windows_network.exe
Follow on-screen prompts

cuda_12.3.1

2）重新安装pytorch

https://pytorch.org

对应版本选择：

执行对应的pip命令：

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

2.git错误：

venv "e:\Pycharm_Projects\stable-diffusion-webui\venv2\Scripts\Python.exe"
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Commit hash: <none>
Traceback (most recent call last):
  File "E:\Pycharm_Projects\stable-diffusion-webui\launch.py", line 355, in <module>
    prepare_environment()
  File "E:\Pycharm_Projects\stable-diffusion-webui\launch.py", line 289, in prepare_environment
    git_clone(taming_transformers_repo, repo_dir('taming-transformers'), "Taming Transformers", taming_transformers_commit_hash)
  File "E:\Pycharm_Projects\stable-diffusion-webui\launch.py", line 143, in git_clone
    current_hash = run(f'"{git}" -C "{dir}" rev-parse HEAD', None, f"Couldn't determine {name}'s hash: {commithash}").strip()
  File "E:\Pycharm_Projects\stable-diffusion-webui\launch.py", line 97, in run
    raise RuntimeError(message)
RuntimeError: Couldn't determine Taming Transformers's hash: 24268930bf1dce879235a7fddd0b2355b84d7ea6.
Command: "git" -C "E:\Pycharm_Projects\stable-diffusion-webui\repositories\taming-transformers" rev-parse HEAD
Error code: 128
stdout: <empty>
stderr: fatal: detected dubious ownership in repository at 'E:/Pycharm_Projects/stable-diffusion-webui/repositories/taming-transformers'
'E:/Pycharm_Projects/stable-diffusion-webui/repositories/taming-transformers' is owned by:
        'S-1-5-21-3786237627-226699005-530654045-1001'
but the current user is:
        'S-1-5-21-802586706-3590648291-1096587674-1001'
To add an exception for this directory, call:

        git config --global --add safe.directory E:/Pycharm_Projects/stable-diffusion-webui/repositories/taming-transformers

通过执行提示的命令git config –global –add safe.directory E:/Pycharm_Projects/stable-diffusion-webui/repositories/taming-transformers 无效，直接修改文件夹所有者属性即可：

3. AsyncConnectionPool.__init__() got an unexpected keyword argument ‘socket_options’

执行以下命令修复：

pip install -U httpcore
pip install -U httpx==0.24.1

4. Can’t load tokenizer for ‘openai/clip-vit-large-patch14’

env "e:\Pycharm_Projects\stable-diffusion-webui\venv2\Scripts\Python.exe"
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Commit hash: 22bcc7be428c94e9408f589966c2040187245d81
Installing requirements for Web UI
Installing SD-CN-Animation requirement: scikit-image==0.19.2



Launching Web UI with arguments:
No module 'xformers'. Proceeding without it.
e:\Pycharm_Projects\stable-diffusion-webui\venv2\lib\site-packages\torchvision\transforms\functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be **removed in 0.17**. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
  warnings.warn(
ControlNet v1.1.150
ControlNet v1.1.150
Loading weights [5bbaabc045] from E:\Pycharm_Projects\stable-diffusion-webui\models\Stable-diffusion\taiwanDollLikeness_v1.safetensors
Creating model from config: E:\Pycharm_Projects\stable-diffusion-webui\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Failed to create model quickly; will retry using slow method.
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
loading stable diffusion model: OSError
Traceback (most recent call last):
  File "E:\Pycharm_Projects\stable-diffusion-webui\webui.py", line 139, in initialize
    modules.sd_models.load_model()
  File "E:\Pycharm_Projects\stable-diffusion-webui\modules\sd_models.py", line 438, in load_model
    sd_model = instantiate_from_config(sd_config.model)
  File "E:\Pycharm_Projects\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\util.py", line 89, in instantiate_from_config
    return get_obj_from_str(config["target"])(**config.get("params", dict()))
  File "E:\Pycharm_Projects\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 563, in __init__
    self.instantiate_cond_stage(cond_stage_config)
  File "E:\Pycharm_Projects\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 630, in instantiate_cond_stage
    model = instantiate_from_config(config)
  File "E:\Pycharm_Projects\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\util.py", line 89, in instantiate_from_config
    return get_obj_from_str(config["target"])(**config.get("params", dict()))
  File "E:\Pycharm_Projects\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\encoders\modules.py", line 103, in __init__
    self.tokenizer = CLIPTokenizer.from_pretrained(version)
  File "e:\Pycharm_Projects\stable-diffusion-webui\venv2\lib\site-packages\transformers\tokenization_utils_base.py", line 1785, in from_pretrained
    raise EnvironmentError(
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

这个就直接挂梯子吧。