AI繪畫-Stable Diffusion解決報錯教程-subprocess-exited-with-error?: subprocess-exited-with-error? error: subprocess-exited-with-error? × python setup.py egg_……
哈嘍!伙伴們,我是小智,你們的AI向?qū)?。歡迎來到每日的AI學(xué)習(xí)時間。今天,我們將一起深入AI的奇妙世界,探索“AI繪畫-Stable Diffusion解決報錯教程-subprocess-exited-with-error?”,并學(xué)會本篇文章中所講的全部知識點。還是那句話“不必遠征未知,只需喚醒你的潛能!”跟著小智的步伐,我們終將學(xué)有所成,學(xué)以致用,并發(fā)現(xiàn)自身的更多可能性。話不多說,現(xiàn)在就讓我們開始這場激發(fā)潛能的AI學(xué)習(xí)之旅吧。
AI繪畫-Stable Diffusion解決報錯教程-subprocess-exited-with-error?:
subprocess-exited-with-error?
error: subprocess-exited-with-error?
× python setup.py egg_info did not run successfully.?
│ exit code: 1?
╰─> [109 lines of output]?
D:Minicondalibsite-packagessetuptoolsinstaller.py:27: SetuptoolsDeprecationWarning: setuptools.installer is deprecated. Requirements should be satisfied by a PEP 517 installer.?
warnings.warn(?
ERROR: Exception:?
Traceback (most recent call last):?
File “D:Minicondalibsite-packagespip_vendorurllib3response.py”, line 437, in _error_catcher?
yield?
File “D:Minicondalibsite-packagespip_vendorurllib3response.py”, line 560, in read?
data = self._fp_read(amt) if not fp_closed else b””?
File “D:Minicondalibsite-packagespip_vendorurllib3response.py”, line 526, in _fp_read?
return self._fp.read(amt) if amt is not None else self._fp.read()?
File “D:Minicondalibsite-packagespip_vendorcachecontrolfilewrapper.py”, line 90, in read?
data = self.__fp.read(amt)?
File “D:Minicondalibhttpclient.py”, line 465, in read?
s = self.fp.read(amt)?
File “D:Minicondalibsocket.py”, line 705, in readinto?
return self._sock.recv_into(b)?
File “D:Minicondalibssl.py”, line 1274, in recv_into?
return self.read(nbytes, buffer)?
File “D:Minicondalibssl.py”, line 1130, in read?
return self._sslobj.read(len, buffer)?
TimeoutError: The read operation timed out?
During handling of the above exception, another exception occurred:?
Traceback (most recent call last):?
File “D:Minicondalibsite-packagespip_internalclibase_command.py”, line 160, in exc_logging_wrapper?
status = run_func(*args)?
File “D:Minicondalibsite-packagespip_internalclireq_command.py”, line 247, in wrapper?
return func(self, options, args)?
File “D:Minicondalibsite-packagespip_internalcommandswheel.py”, line 170, in run?
requirement_set = resolver.resolve(reqs, check_supported_wheels=True)?
File “D:Minicondalibsite-packagespip_internalresolutionresolvelibresolver.py”, line 92, in resolve?
result = self._result = resolver.resolve(?
File “D:Minicondalibsite-packagespip_vendorresolvelibresolvers.py”, line 481, in resolve?
state = resolution.resolve(requirements, max_rounds=max_rounds)?
File “D:Minicondalibsite-packagespip_vendorresolvelibresolvers.py”, line 348, in resolve?
self._add_to_criteria(self.state.criteria, r, parent=None)?
File “D:Minicondalibsite-packagespip_vendorresolvelibresolvers.py”, line 172, in _add_to_criteria?
if not criterion.candidates:?
File “D:Minicondalibsite-packagespip_vendorresolvelibstructs.py”, line 151, in bool?
return bool(self._sequence)?
File “D:Minicondalibsite-packagespip_internalresolutionresolvelibfound_candidates.py”, line 155, in bool?
return any(self)?
File “D:Minicondalibsite-packagespip_internalresolutionresolvelibfound_candidates.py”, line 143, in?
return (c for c in iterator if id(c) not in self._incompatible_ids)?
File “D:Minicondalibsite-packagespip_internalresolutionresolvelibfound_candidates.py”, line 47, in _iter_built?
candidate = func()?
File “D:Minicondalibsite-packagespip_internalresolutionresolvelibfactory.py”, line 206, in _make_candidate_from_link?
self._link_candidate_cache[link] = LinkCandidate(?
File “D:Minicondalibsite-packagespip_internalresolutionresolvelibcandidates.py”, line 297, in init?
super().__init__(?
File “D:Minicondalibsite-packagespip_internalresolutionresolvelibcandidates.py”, line 162, in init?
self.dist = self._prepare()?
File “D:Minicondalibsite-packagespip_internalresolutionresolvelibcandidates.py”, line 231, in _prepare?
dist = self._prepare_distribution()
File “D:Minicondalibsite-packagespip_internalresolutionresolvelibcandidates.py”, line 308, in _prepare_distribution?
return preparer.prepare_linked_requirement(self._ireq, parallel_builds=True)?
File “D:Minicondalibsite-packagespip_internaloperationsprepare.py”, line 491, in prepare_linked_requirement?
return self._prepare_linked_requirement(req, parallel_builds)?
File “D:Minicondalibsite-packagespip_internaloperationsprepare.py”, line 536, in _prepare_linked_requirement?
local_file = unpack_url(?
File “D:Minicondalibsite-packagespip_internaloperationsprepare.py”, line 166, in unpack_url?
file = get_http_url(?
File “D:Minicondalibsite-packagespip_internaloperationsprepare.py”, line 107, in get_http_url?
from_path, content_type = download(link, temp_dir.path)?
File “D:Minicondalibsite-packagespip_internalnetworkdownload.py”, line 147, in call?
for chunk in chunks:?
File “D:Minicondalibsite-packagespip_internalnetworkutils.py”, line 63, in response_chunks?
for chunk in response.raw.stream(?
File “D:Minicondalibsite-packagespip_vendorurllib3response.py”, line 621, in stream?
data = self.read(amt=amt, decode_content=decode_content)?
File “D:Minicondalibsite-packagespip_vendorurllib3response.py”, line 559, in read?
with self._error_catcher():?
File “D:Minicondalibcontextlib.py”, line 153, in exit?
self.gen.throw(typ, value, traceback)?
File “D:Minicondalibsite-packagespip_vendorurllib3response.py”, line 442, in _error_catcher?
raise ReadTimeoutError(self._pool, None, “Read timed out.”)?
pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host=’files.pythonhosted.org’, port=443): Read timed out.?
Traceback (most recent call last):?
File “D:Minicondalibsite-packagessetuptoolsinstaller.py”, line 82, in fetch_build_egg?
subprocess.check_call(cmd)?
File “D:Minicondalibsubprocess.py”, line 369, in check_call?
raise CalledProcessError(retcode, cmd)?
subprocess.CalledProcessError: Command ‘[‘D:\Miniconda\python.exe’, ‘-m’, ‘pip’, ‘–disable-pip-version-check’, ‘wheel’, ‘–no-deps’, ‘-w’, ‘C:\Users\23243\AppData\Local\Temp\tmpk82g_bqu’, ‘–quiet’, ‘torch’]’ returned non-zero exit status 2.?
The above exception was the direct cause of the following exception:?
Traceback (most recent call last):?
File “”, line 2, in?
File “”, line 34, in?
File “C:Users23243AppDataLocalTemppip-install-hauelb5mbasicsr_ff9fa51afe15482f8d5ed318666d9752setup.py”, line 147, in?
setup(?
File “D:Minicondalibsite-packagessetuptools__init__.py”, line 86, in setup?
_install_setup_requires(attrs)?
File “D:Minicondalibsite-packagessetuptools__init__.py”, line 80, in _install_setup_requires?
dist.fetch_build_eggs(dist.setup_requires)?
File “D:Minicondalibsite-packagessetuptoolsdist.py”, line 874, in fetch_build_eggs?
resolved_dists = pkg_resources.working_set.resolve(?
File “D:Minicondalibsite-packagespkg_resources__init__.py”, line 789, in resolve?
dist = best[req.key] = env.best_match(?
File “D:Minicondalibsite-packagespkg_resources__init__.py”, line 1075, in best_match?
return self.obtain(req, installer)?
File “D:Minicondalibsite-packagespkg_resources__init__.py”, line 1087, in obtain?
return installer(requirement)?
File “D:Minicondalibsite-packagessetuptoolsdist.py”, line 944, in fetch_build_egg?
return fetch_build_egg(self, req)?
File “D:Minicondalibsite-packagessetuptoolsinstaller.py”, line 84, in fetch_build_egg?
raise DistutilsError(str(e)) from e?
distutils.errors.DistutilsError: Command ‘[‘D:\Miniconda\python.exe’, ‘-m’, ‘pip’, ‘–disable-pip-version-check’, ‘wheel’, ‘–no-deps’, ‘-w’, ‘C:\Users\23243\AppData\Local\Temp\tmpk82g_bqu’, ‘–quiet’, ‘torch’]’ returned non-zero exit status 2.
[end of output]?
note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details.?
這個錯誤可能是由于 pip 在下載軟件包時遇到了網(wǎng)絡(luò)問題,導(dǎo)致安裝不成功。您可以嘗試重新運行命令,或者檢查您的網(wǎng)絡(luò)連接是否正常。另外,您可以嘗試使用國內(nèi)的鏡像源來安裝軟件包,例如使用清華大學(xué)的鏡像源,命令如下:?
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple some-package?
將 some-package 替換為您要安裝的軟件包的名稱。
嘿,伙伴們,今天我們的AI探索之旅已經(jīng)圓滿結(jié)束。關(guān)于“AI繪畫-Stable Diffusion解決報錯教程-subprocess-exited-with-error?”的內(nèi)容已經(jīng)分享給大家了。感謝你們的陪伴,希望這次旅程讓你對AI能夠更了解、更喜歡。謹記,精準提問是解鎖AI潛能的鑰匙哦!如果有小伙伴想要了解學(xué)習(xí)更多的AI知識,請關(guān)注我們的官網(wǎng)“AI智研社”,保證讓你收獲滿滿呦!

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