AI大模型教程
一起来学习
当前位置：5bei.cn大模型教程网 > AI创作 > 正文

m2安装stable-diffusion报错及解决方案

2024-12-31 分类：AI创作 / stable-diffusion 阅读(334)
文章目录 隐藏
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：
报错二：
报错三： Couldn’t install gfpgan.

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'

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

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
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.

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。

文章来源于互联网:m2安装stable-diffusion报错及解决方案

相关推荐: AIGC-Stable Diffusion

Stable Diffusion（稳定扩散）是一种生成式大模型，它在AI领域中标志着一个新的里程碑，为我们揭示了未来将会是AIGC的时代。传统的深度学习模型逐渐向AIGC过渡，这也意味着我们需要学习更多关于AIGC的内容。 如果你和我一样是AIGC的初学者，那…

赞(0)
未经允许不得转载：5bei.cn大模型教程网 » m2安装stable-diffusion报错及解决方案
分享到： 更多 (0)
标签：

相关推荐

吐血推荐

对比kimi、通义千问、文心一言的写代码能力

真实对比kimi、通义千问、文心一言的写代码能力，到底谁强？

热门文章

AI大模型,我们的未来

小欢软考联系我们