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boneylizardwizard
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stablediffusioncpppython311312

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xet

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The JWT signature verification failed. Check the signing key and the algorithm.

Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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stable-diffusion-cpp-python (Windows CUDA Wheels)

Prebuilt Windows x64 wheels for stable-diffusion-cpp-python with CUDA enabled.

Built to support these NVIDIA GPU architectures:

sm_86 (Ampere / RTX 30-series)
sm_89 (Ada / RTX 40-series)
sm_120 (Blackwell / RTX 50-series)

This repo contains two wheels:

Python 3.11 (cp311)
Python 3.12 (cp312)

Files

stable_diffusion_cpp_python--cp311--win_amd64.whl (Python 3.11)
stable_diffusion_cpp_python--cp312--win_amd64.whl (Python 3.12)

Install

Python 3.11: pip install stable_diffusion_cpp_python--cp311--win_amd64.whl

Python 3.12: pip install stable_diffusion_cpp_python--cp312--win_amd64.whl

Notes

Requires an NVIDIA GPU with CUDA-capable drivers.
Binary wheels: no local compilation required.

Downloads last month: 29

Total file size:

709 MB