运行StableDiffusionInpaintPipeline的Example时报错：OSError: Cannot load model runwayml/stable-diffusion-..._oserror: cannot load model v1.5: model is not cach

项目地址：

https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/inpainthttps://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/inpaint在云服务器端运行下面给出的Example的时候出现报错：

(myconda) root@wnyrpE:/mnt/Diffusers/inpainting# python3 SD_inpaint_eg.py
Couldn't connect to the Hub: (MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /api/models/runwayml/stable-diffusion-inpainting (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7fa6c5357dc0>: Failed to establish a new connection: [Errno 110] Connection timed out'))"), '(Request ID: bebba422-c4d8-4797-a818-a00fe02957e8)').
Will try to load from local cache.
Traceback (most recent call last):
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/urllib3/connection.py", line 174, in _new_conn
    conn = connection.create_connection(
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/urllib3/util/connection.py", line 95, in create_connection
    raise err
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/urllib3/util/connection.py", line 85, in create_connection
    sock.connect(sa)
TimeoutError: [Errno 110] Connection timed out
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/urllib3/connectionpool.py", line 703, in urlopen
    httplib_response = self._make_request(
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/urllib3/connectionpool.py", line 386, in _make_request
    self._validate_conn(conn)
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/urllib3/connectionpool.py", line 1040, in _validate_conn
    conn.connect()
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/urllib3/connection.py", line 358, in connect
    self.sock = conn = self._new_conn()
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/urllib3/connection.py", line 186, in _new_conn
    raise NewConnectionError(
urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPSConnection object at 0x7fa6c5357dc0>: Failed to establish a new connection: [Errno 110] Connection timed out
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/requests/adapters.py", line 440, in send
    resp = conn.urlopen(
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/urllib3/connectionpool.py", line 785, in urlopen
    retries = retries.increment(
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/urllib3/util/retry.py", line 592, in increment
    raise MaxRetryError(_pool, url, error or ResponseError(cause))
urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /api/models/runwayml/stable-diffusion-inpainting (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7fa6c5357dc0>: Failed to establish a new connection: [Errno 110] Connection timed out'))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/diffusers/pipelines/pipeline_utils.py", line 1656, in download
    info = model_info(pretrained_model_name, token=token, revision=revision)
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/huggingface_hub/hf_api.py", line 2084, in model_info
    r = get_session().get(path, headers=headers, timeout=timeout, params=params)
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/requests/sessions.py", line 542, in get
    return self.request('GET', url, **kwargs)
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/requests/sessions.py", line 529, in request
    resp = self.send(prep, **send_kwargs)
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/requests/sessions.py", line 645, in send
    r = adapter.send(request, **kwargs)
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/huggingface_hub/utils/_http.py", line 67, in send
    return super().send(request, *args, **kwargs)
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/requests/adapters.py", line 519, in send
    raise ConnectionError(e, request=request)
requests.exceptions.ConnectionError: (MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /api/models/runwayml/stable-diffusion-inpainting (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7fa6c5357dc0>: Failed to establish a new connection: [Errno 110] Connection timed out'))"), '(Request ID: bebba422-c4d8-4797-a818-a00fe02957e8)')
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
  File "SD_inpaint_eg.py", line 20, in <module>
    pipe = StableDiffusionInpaintPipeline.from_pretrained(
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/diffusers/pipelines/pipeline_utils.py", line 1096, in from_pretrained
    cached_folder = cls.download(
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/diffusers/pipelines/pipeline_utils.py", line 1905, in download
    raise EnvironmentError(
OSError: Cannot load model runwayml/stable-diffusion-inpainting: model is not cached locally and an error occured while trying to fetch metadata from the Hub. Please check out the root cause in the stacktrace above. 

原因是：国内无法服务器无法直接连接上huggingface。

解决办法是：开代理把模型下载到本地再上传到服务器端。（不管是下载到本地，还是直接同步到服务器端，只要是国内的网络都要把代理打开）

我运行的Example代码是：

import PIL
import requests
import torch
from io import BytesIO
 
from diffusers import StableDiffusionInpaintPipeline
 
 
def download_image(url):
    response = requests.get(url)
    return PIL.Image.open(BytesIO(response.content)).convert("RGB")
 
 
img_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png"
mask_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png"
 
init_image = download_image(img_url).resize((512, 512))
mask_image = download_image(mask_url).resize((512, 512))
 
pipe = StableDiffusionInpaintPipeline.from_pretrained(
    "runwayml/stable-diffusion-inpainting", torch_dtype=torch.float16
)
pipe = pipe.to("cuda")
 
prompt = "Face of a yellow cat, high resolution, sitting on a park bench"
image = pipe(prompt=prompt, image=init_image, mask_image=mask_image).images[0]

从Example代码里面看到，应该是要下载runwayml/stable-diffusion-inpainting模型

pipe = StableDiffusionInpaintPipeline.from_pretrained(
    "runwayml/stable-diffusion-inpainting", torch_dtype=torch.float16
)
pipe = pipe.to("cuda")

注意修改脚本中的代码：

pipe = StableDiffusionInpaintPipeline.from_pretrained(
    "/本地/模型/路径", torch_dtype=torch.float16
)
 
pipe = pipe.to("cuda")