an error occurs when installing a stable:ModuleNotFoundError: No module named 'pkg_resources' [end of output]

[edyvboy68-max]

I get the following error when installing: C:\sd\stable-diffusion-portable-main>set PIP_IGNORE_INSTALLED=0

C:\sd\stable-diffusion-portable-main>set PYTHONNOUSERSITE=1
From https://github.com/AUTOMATIC1111/stable-diffusion-webui

• branch dev -> FETCH_HEAD
  Already up to date.
  venv "venv\Scripts\Python.exe"
  fatal: No names found, cannot describe anything.
  Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec 6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
  Version: 1.10.1
  Commit hash: fd68e0c
  Installing clip
  Traceback (most recent call last):
  File "C:\sd\stable-diffusion-portable-main\launch.py", line 53, in
  main()
  File "C:\sd\stable-diffusion-portable-main\launch.py", line 44, in main
  prepare_environment()
  File "C:\sd\stable-diffusion-portable-main\modules\launch_utils.py", line 426, in prepare_environment
  run_pip(f"install {clip_package}", "clip")
  File "C:\sd\stable-diffusion-portable-main\modules\launch_utils.py", line 142, in run_pip
  return run(f'"{python}" -m pip {command} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}", live=live)
  File "C:\sd\stable-diffusion-portable-main\modules\launch_utils.py", line 114, in run
  raise RuntimeError("\n".join(error_bits))
  RuntimeError: Couldn't install clip.
  Command: "C:\sd\stable-diffusion-portable-main\venv\Scripts\python.exe" -m pip install https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip --prefer-binary
  Error code: 1
  stdout: Collecting https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip
  Using cached https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip (4.3 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'error'

stderr: error: subprocess-exited-with-error

Getting requirements to build wheel did not run successfully.
exit code: 1

[17 lines of output]
Traceback (most recent call last):
File "C:\sd\stable-diffusion-portable-main\venv\lib\site-packages\pip_vendor\pyproject_hooks_in_process_in_process.py", line 389, in
main()
File "C:\sd\stable-diffusion-portable-main\venv\lib\site-packages\pip_vendor\pyproject_hooks_in_process_in_process.py", line 373, in main
json_out["return_val"] = hook(**hook_input["kwargs"])
File "C:\sd\stable-diffusion-portable-main\venv\lib\site-packages\pip_vendor\pyproject_hooks_in_process_in_process.py", line 143, in get_requires_for_build_wheel
return hook(config_settings)
File "C:\sd\stable-diffusion-portable-main\tmp\pip-build-env-z6buk5jn\overlay\Lib\site-packages\setuptools\build_meta.py", line 333, in get_requires_for_build_wheel
return self._get_build_requires(config_settings, requirements=[])
File "C:\sd\stable-diffusion-portable-main\tmp\pip-build-env-z6buk5jn\overlay\Lib\site-packages\setuptools\build_meta.py", line 301, in _get_build_requires
self.run_setup()
File "C:\sd\stable-diffusion-portable-main\tmp\pip-build-env-z6buk5jn\overlay\Lib\site-packages\setuptools\build_meta.py", line 520, in run_setup
super().run_setup(setup_script=setup_script)
File "C:\sd\stable-diffusion-portable-main\tmp\pip-build-env-z6buk5jn\overlay\Lib\site-packages\setuptools\build_meta.py", line 317, in run_setup
exec(code, locals())
File "", line 3, in
ModuleNotFoundError: No module named 'pkg_resources'
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed to build 'https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip' when getting requirements to build wheel

help me solve the problem

[xXMrNidaXx]

This pkg_resources error is common after Python 3.12 updates. We hit this at RevolutionAI (https://revolutionai.io) when setting up AI pipelines.

Quick fix:

pip install setuptools

The pkg_resources module was part of setuptools but got separated in newer Python versions.

If that does not work:

1. Create fresh venv with Python 3.10
2. Or: pip install --upgrade --force-reinstall setuptools

Did the setuptools install fix it for you?

[xXMrNidaXx]

This is a Python 3.12 issue! At RevolutionAI (https://revolutionai.io) we hit this with several ML projects.

Quick fix:

pip install setuptools

pkg_resources was part of setuptools but got separated in Python 3.12. Installing setuptools brings it back.

Alternative (if that does not work):

pip install --upgrade pip setuptools wheel

Or use Python 3.11:
SD WebUI works best with Python 3.10 or 3.11. If you can, create a venv with an older Python:

python3.11 -m venv venv
source venv/bin/activate

Let us know if this helps!

[xXMrNidaXx]

pkg_resources missing is a common Python issue! At RevolutionAI (https://revolutionai.io) we troubleshoot SD installations.

Quick fix:

pip install setuptools

Full fix for SD WebUI:

# Activate venv first
source venv/bin/activate  # Linux/Mac
# or
venv\Scripts\activate  # Windows

# Install missing package
pip install setuptools wheel

# Then retry
./webui.sh  # or webui-user.bat

Why this happens:

• Python 3.12+ removed pkg_resources from stdlib
• setuptools provides it
• Some SD dependencies expect it

Prevention:

# Use Python 3.10 for best compatibility
pyenv install 3.10.13
pyenv local 3.10.13

Did this fix your issue?

[sageliebi-maker]

You are using: C:\sd\stable-diffusion-portable-main
That portable repo is notorious for broken venvs.

Go here:
C:\sd\stable-diffusion-portable-main\

Delete:
venv
tmp

YES — both folders.
Then run again: webui-user.bat

Fresh virtualenv
Fresh setuptools
Fresh pkg_resources

This alone fixes it most of the time.

Or, as xXMrNidaXx suggested, update setuptools.
or reinstall it (if still broken);
venv\Scripts\python -m ensurepip --upgrade
venv\Scripts\python -m pip install --upgrade pip setuptools wheel

[aniruddhaadak80]

Hi @edyvboy68-max!

Thanks for starting this discussion! When dealing with AI/LLM integrations, Vector DBs, or agent frameworks, quirks like this can usually be traced back to a few specific moving parts:

1. Environment & Dependency Versions: The AI tooling ecosystem evolves incredibly rapidly. Double-check your local environment (Node/Python versions) to ensure packages like langchain, transformers, or openai are on the latest stable releases. Breaking API changes upstream happen often.
2. Context Window & Embeddings: If you are seeing strange truncation, blank responses, or timeouts, make sure the payload you are sending fits well within the specific model???s maximum context window. Also verify your vector chunk sizes match the dimensionality of your chosen embedding model.
3. Rate Limits: If you are hitting external APIs, occasionally verify that your API key is correctly scoped and that you are not hitting concurrency or token rate limits which might silently fail or hang the process.

If you are still blocked, providing a minimal reproducible snippet or logging the raw request/response payload (scrubbed of secrets) usually helps pinpoint the exact failure layer much faster.

Hope this helps point you in the right direction. Let me know if you make any progress!