背景：自己的電腦是macbookpro m2,之前裝很多軟件都遇到各種問題，不出意外，裝這個stable-diffusion一樣遇到各種問題，現(xiàn)在總結(jié)一下安裝過程中遇到的問題。

報錯一：

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'

原因：torch 的版本不對
解決方案：在安裝目錄stable-diffusion-webui 下，編輯webui-macos-env.sh 文件
我的原來的配置文件如下；

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

修改好的配置文件如下；1.在COMMANDLINE_ARGS 參數(shù)的后面添加了–reinstall-torch
2.export TORCH_COMMAND=“pip install torch2.0.1 torchvision0.15.2”，將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

報錯二：

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.

原因：clip-vit-large-patch14 國內(nèi)已經(jīng)不能訪問了
需要手動創(chuàng)建openai 目錄并把 下載后解壓的資源拖入到openai目錄下面
安裝sd的時候，本地你自己的目錄下會同時生成一個sd的目錄，我的是這樣的
/Users/wuzhanxi/stable-diffusion-webui，在這個目錄下手動創(chuàng)建一個openai目錄
可以用的模型的代碼：
鏈接: https://pan.baidu.com/s/1EBptJ2v9inq9A5LEYFfBMg 提取碼: dh2b

報錯三： Couldn’t install gfpgan.

在執(zhí)行完 ./webui.sh 后報 “RuntimeError: Couldn’t install gfpgan.”

其實是因為沒有下載下來 gfpgan。我們可以從報錯信息中找到下載鏈接，如下圖中橫線部分。
然后 copy 這個鏈接到瀏覽器中進(jìn)行下載，然后將下載好的 zip 文件加壓，并將目錄名改成 GFPGAN，然后拖到 stable-diffusion-webui 這個目錄下就好了。

當(dāng)再次執(zhí)行 ./webui.sh 時，發(fā)現(xiàn)已經(jīng)跨過下載 GFPGAN，繼續(xù)下載其他依賴了。文章來源地址http://www.zghlxwxcb.cn/news/detail-829464.html

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