m2安装stable-diffusion报错及解决方案_no sdp backend available, likely because you are r

背景：自己的电脑是macbookpro m2,之前装很多软件都遇到各种问题，不出意外，装这个stable-diffusion一样遇到各种问题，现在总结一下安装过程中遇到的问题。

报错一：

Launching Web UI with arguments: --skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate
no module 'xformers'. Processing without...
No SDP backend available, likely because you are running in pytorch versions < 2.0. In fact, you are using PyTorch 1.12.1. You might want to consider upgrading.
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
Style database not found: /Users/wuzhanxi/stable-diffusion-webui/styles.csv
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
==============================================================================
You are running torch 1.12.1.
The program is tested to work with torch 2.0.0.
To reinstall the desired version, run with commandline flag --reinstall-torch.
Beware that this will cause a lot of large files to be downloaded, as well as
there are reports of issues with training tab on the latest version.

Use --skip-version-check commandline argument to disable this check.
==============================================================================
Downloading: "https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors" to /Users/wuzhanxi/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors

WARNING:modules.mac_specific:MPS garbage collection failed
Traceback (most recent call last):
  File "/Users/wuzhanxi/stable-diffusion-webui/modules/mac_specific.py", line 38, in torch_mps_gc
    from torch.mps import empty_cache
ModuleNotFoundError: No module named 'torch.mps'
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原因：torch 的版本不对
解决方案：在安装目录stable-diffusion-webui 下，编辑webui-macos-env.sh 文件
我的原来的配置文件如下；

export install_dir="$HOME"
export COMMANDLINE_ARGS="--skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate"
export TORCH_COMMAND="pip install torch==1.12.1 torchvision==0.13.1"
export K_DIFFUSION_REPO="https://github.com/brkirch/k-diffusion.git"
export K_DIFFUSION_COMMIT_HASH="51c9778f269cedb55a4d88c79c0246d35bdadb71"
export PYTORCH_ENABLE_MPS_FALLBACK=1
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修改好的配置文件如下；1.在COMMANDLINE_ARGS 参数的后面添加了–reinstall-torch
2.export TORCH_COMMAND=“pip install torch2.0.1 torchvision0.15.2”，将torch的版本修改成2.0的

export install_dir="$HOME"
export COMMANDLINE_ARGS="--skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate --reinstall-torch"
export TORCH_COMMAND="pip install torch==2.0.1 torchvision==0.15.2"
#export TORCH_COMMAND="pip install torch==1.12.1 torchvision==0.13.1"
export K_DIFFUSION_REPO="https://github.com/brkirch/k-diffusion.git"
export K_DIFFUSION_COMMIT_HASH="51c9778f269cedb55a4d88c79c0246d35bdadb71"
export PYTORCH_ENABLE_MPS_FALLBACK=1
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报错二：

Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 4.4s (prepare environment: 0.9s, import torch: 1.2s, import gradio: 0.4s, setup paths: 0.5s, other imports: 0.4s, load scripts: 0.3s, create ui: 0.2s, gradio launch: 0.3s).
Creating model from config: /Users/wuzhanxi/stable-diffusion-webui/configs/v1-inference.yaml
creating model quickly: OSError
Traceback (most recent call last):
  File "/opt/homebrew/Cellar/python@3.10/3.10.13_2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/threading.py", line 973, in _bootstrap
    self._bootstrap_inner()
  File "/opt/homebrew/Cellar/python@3.10/3.10.13_2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
    self.run()
  File "/opt/homebrew/Cellar/python@3.10/3.10.13_2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/threading.py", line 953, in run
    self._target(*self._args, **self._kwargs)
  File "/Users/wuzhanxi/stable-diffusion-webui/modules/initialize.py", line 147, in load_model
    shared.sd_model  # noqa: B018
  File "/Users/wuzhanxi/stable-diffusion-webui/modules/shared_items.py", line 128, in sd_model
    return modules.sd_models.model_data.get_sd_model()
  File "/Users/wuzhanxi/stable-diffusion-webui/modules/sd_models.py", line 531, in get_sd_model
    load_model()
  File "/Users/wuzhanxi/stable-diffusion-webui/modules/sd_models.py", line 634, in load_model
    sd_model = instantiate_from_config(sd_config.model)
  File "/Users/wuzhanxi/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 "/Users/wuzhanxi/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 "/Users/wuzhanxi/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 "/Users/wuzhanxi/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 "/Users/wuzhanxi/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 104, in __init__
    self.tokenizer = CLIPTokenizer.from_pretrained(version)
  File "/opt/homebrew/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, 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.

Failed to create model quickly; will retry using slow method.
loading stable diffusion model: OSError
Traceback (most recent call last):
  File "/opt/homebrew/Cellar/python@3.10/3.10.13_2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/threading.py", line 973, in _bootstrap
    self._bootstrap_inner()
  File "/opt/homebrew/Cellar/python@3.10/3.10.13_2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
    self.run()
  File "/opt/homebrew/Cellar/python@3.10/3.10.13_2/Frameworks/Python.framework/Versions/3.10/lib/python3.10/threading.py", line 953, in run
    self._target(*self._args, **self._kwargs)
  File "/Users/wuzhanxi/stable-diffusion-webui/modules/initialize.py", line 147, in load_model
    shared.sd_model  # noqa: B018
  File "/Users/wuzhanxi/stable-diffusion-webui/modules/shared_items.py", line 128, in sd_model
    return modules.sd_models.model_data.get_sd_model()
  File "/Users/wuzhanxi/stable-diffusion-webui/modules/sd_models.py", line 531, in get_sd_model
    load_model()
  File "/Users/wuzhanxi/stable-diffusion-webui/modules/sd_models.py", line 643, in load_model
    sd_model = instantiate_from_config(sd_config.model)
  File "/Users/wuzhanxi/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 "/Users/wuzhanxi/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 "/Users/wuzhanxi/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 "/Users/wuzhanxi/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 "/Users/wuzhanxi/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/encoders/modules.py", line 104, in __init__
    self.tokenizer = CLIPTokenizer.from_pretrained(version)
  File "/opt/homebrew/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1809, 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.

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原因：clip-vit-large-patch14 国内已经不能访问了
需要手动创建openai 目录并把 下载后解压的资源拖入到openai目录下面
安装sd的时候，本地你自己的目录下会同时生成一个sd的目录，我的是这样的
/Users/wuzhanxi/stable-diffusion-webui，在这个目录下手动创建一个openai目录
可以用的模型的代码：
链接: https://pan.baidu.com/s/1EBptJ2v9inq9A5LEYFfBMg 提取码: dh2b

报错三： Couldn’t install gfpgan.

在执行完 ./webui.sh 后报 “RuntimeError: Couldn’t install gfpgan.”

其实是因为没有下载下来 gfpgan。我们可以从报错信息中找到下载链接，如下图中横线部分。
然后 copy 这个链接到浏览器中进行下载，然后将下载好的 zip 文件加压，并将目录名改成 GFPGAN，然后拖到 stable-diffusion-webui 这个目录下就好了。

当再次执行 ./webui.sh 时，发现已经跨过下载 GFPGAN，继续下载其他依赖了。