我要评论diffusion模型遇到问题：缺少某个库，不能自动下载。
oserror: can't load tokenizer for 'xxxxxxxxx'. 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 'xxxxxxxxx' is the correct path to a directory containing all relevant files for a cliptokenizer tokenizer.
例如
file "/home/spai/code/sd/stable-diffusion/ldm/util.py", line 85, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict()))
file "/home/spai/code/sd/stable-diffusion/ldm/modules/encoders/modules.py", line 141, in __init__
self.tokenizer = cliptokenizer.from_pretrained(version)
file "/home/spai/anaconda3/envs/metap/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 1838, 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
提示显示无法加载该模型的分词器（tokenizer），可能出现了以下情况之一：
-
本地目录与 ‘openai/clip-vit-large-patch14’ 同名：如果你的本地目录中有一个名为 ‘openai/clip-vit-large-patch14’ 的文件夹，可能会导致加载错误。请检查你的工作目录或者其他相关目录中是否有同名文件夹，并确保没有命名冲突。
-
模型路径错误：确保 ‘openai/clip-vit-large-patch14’ 是正确的模型路径，可以尝试重新确认模型路径是否正确。
-
自动下载没找到，需要手动下载，放进去。可能是防火墙、urlib、ssl、服务器等问题
解决
手动下载模型
以上面的clip缺失为例：
在huggingface.co中搜索，找到相关库
从https://huggingface.co/openai/clip-vit-large-patch14/tree/main下载所有文件
mkdir -p stable-diffusion-webui/openai/clip-vit-large-patch14
并将其移动到 本地目录/openai//clip-vit-large-patch14/
下载失败的话，看我的其他文章，用到 lfs 或者迅雷单独下载
修正网络
import ssl
ssl._create_default_https_context=ssl._create_unverified_context
为什么可以解决？
参考 https://blog.csdn.net/betrayfree/article/details/132482843
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