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")
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