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Tom_Neverwinter

install log tts-generation-webui 112723

Tom_Neverwinter
Nov 27th, 2023 (edited)
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  1. What is your GPU
  2.  
  3. A) NVIDIA
  4. B) AMD
  5. C) Apple M Series
  6. D) None (I want to run in CPU mode)
  7.  
  8. Input> A
  9. Collecting package metadata (current_repodata.json): done
  10. Solving environment: failed with initial frozen solve. Retrying with flexible solve.
  11. Collecting package metadata (repodata.json): done
  12. Solving environment: done
  13.  
  14.  
  15. ==> WARNING: A newer version of conda exists. <==
  16. current version: 23.1.0
  17. latest version: 23.10.0
  18.  
  19. Please update conda by running
  20.  
  21. $ conda update -n base -c defaults conda
  22.  
  23. Or to minimize the number of packages updated during conda update use
  24.  
  25. conda install conda=23.10.0
  26.  
  27.  
  28.  
  29. ## Package Plan ##
  30.  
  31. environment location: C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env
  32.  
  33. added / updated specs:
  34. - cuda-toolkit
  35. - git
  36. - ninja
  37. - pytorch-cuda=11.7
  38. - pytorch==2[build=py3.10_cuda11.7*]
  39. - torchaudio
  40. - torchvision
  41.  
  42.  
  43. The following packages will be downloaded:
  44.  
  45. package | build
  46. ---------------------------|-----------------
  47. brotli-python-1.0.9 | py310hd77b12b_7 309 KB
  48. cryptography-41.0.3 | py310h89fc84f_0 1.1 MB
  49. cuda-nsight-compute-11.7.0 | 0 1 KB nvidia/label/cuda-11.7.0
  50. cuda-nvdisasm-11.7.50 | 0 31.6 MB nvidia/label/cuda-11.7.0
  51. cuda-nvprof-11.7.50 | 0 1.5 MB nvidia/label/cuda-11.7.0
  52. cuda-nvprune-11.7.50 | 0 152 KB nvidia/label/cuda-11.7.0
  53. cuda-nvrtc-11.7.50 | 0 71.9 MB nvidia/label/cuda-11.7.0
  54. cuda-nvvp-11.7.50 | 0 113.6 MB nvidia/label/cuda-11.7.0
  55. cuda-tools-11.7.0 | 0 1 KB nvidia/label/cuda-11.7.0
  56. jpeg-9e | h2bbff1b_1 320 KB
  57. libcufft-dev-10.7.2.50 | 0 249.8 MB nvidia/label/cuda-11.7.0
  58. libcurand-10.2.10.50 | 0 3 KB nvidia/label/cuda-11.7.0
  59. libcusparse-11.7.3.50 | 0 13 KB nvidia/label/cuda-11.7.0
  60. libwebp-base-1.3.2 | h2bbff1b_0 306 KB
  61. mkl-2023.1.0 | h6b88ed4_46358 155.9 MB
  62. mkl_random-1.2.4 | py310h59b6b97_0 227 KB
  63. nsight-compute-2022.2.0.13 | 0 336.2 MB nvidia/label/cuda-11.7.0
  64. pytorch-2.0.0 |py3.10_cuda11.7_cudnn8_0 1.17 GB pytorch
  65. pytorch-cuda-11.7 | h16d0643_5 4 KB pytorch
  66. torchvision-0.15.0 | py310_cu117 7.7 MB pytorch
  67. ------------------------------------------------------------
  68. Total: 2.12 GB
  69.  
  70. The following NEW packages will be INSTALLED:
  71.  
  72. blas pkgs/main/win-64::blas-1.0-mkl
  73. brotli-python pkgs/main/win-64::brotli-python-1.0.9-py310hd77b12b_7
  74. certifi pkgs/main/win-64::certifi-2023.11.17-py310haa95532_0
  75. cffi pkgs/main/win-64::cffi-1.16.0-py310h2bbff1b_0
  76. charset-normalizer pkgs/main/noarch::charset-normalizer-2.0.4-pyhd3eb1b0_0
  77. cryptography pkgs/main/win-64::cryptography-41.0.3-py310h89fc84f_0
  78. cuda-cccl nvidia/label/cuda-11.7.0/win-64::cuda-cccl-11.7.58-0
  79. cuda-command-line~ nvidia/label/cuda-11.7.0/win-64::cuda-command-line-tools-11.7.0-0
  80. cuda-compiler nvidia/label/cuda-11.7.0/win-64::cuda-compiler-11.7.0-0
  81. cuda-cudart nvidia/label/cuda-11.7.0/win-64::cuda-cudart-11.7.60-0
  82. cuda-cudart-dev nvidia/label/cuda-11.7.0/win-64::cuda-cudart-dev-11.7.60-0
  83. cuda-cuobjdump nvidia/label/cuda-11.7.0/win-64::cuda-cuobjdump-11.7.50-0
  84. cuda-cupti nvidia/label/cuda-11.7.0/win-64::cuda-cupti-11.7.50-0
  85. cuda-cuxxfilt nvidia/label/cuda-11.7.0/win-64::cuda-cuxxfilt-11.7.50-0
  86. cuda-documentation nvidia/label/cuda-11.7.0/win-64::cuda-documentation-11.7.50-0
  87. cuda-libraries nvidia/label/cuda-11.7.0/win-64::cuda-libraries-11.7.0-0
  88. cuda-libraries-dev nvidia/label/cuda-11.7.0/win-64::cuda-libraries-dev-11.7.0-0
  89. cuda-memcheck nvidia/label/cuda-11.7.0/win-64::cuda-memcheck-11.7.50-0
  90. cuda-nsight-compu~ nvidia/label/cuda-11.7.0/win-64::cuda-nsight-compute-11.7.0-0
  91. cuda-nvcc nvidia/label/cuda-11.7.0/win-64::cuda-nvcc-11.7.64-0
  92. cuda-nvdisasm nvidia/label/cuda-11.7.0/win-64::cuda-nvdisasm-11.7.50-0
  93. cuda-nvml-dev nvidia/label/cuda-11.7.0/win-64::cuda-nvml-dev-11.7.50-0
  94. cuda-nvprof nvidia/label/cuda-11.7.0/win-64::cuda-nvprof-11.7.50-0
  95. cuda-nvprune nvidia/label/cuda-11.7.0/win-64::cuda-nvprune-11.7.50-0
  96. cuda-nvrtc nvidia/label/cuda-11.7.0/win-64::cuda-nvrtc-11.7.50-0
  97. cuda-nvrtc-dev nvidia/label/cuda-11.7.0/win-64::cuda-nvrtc-dev-11.7.50-0
  98. cuda-nvtx nvidia/label/cuda-11.7.0/win-64::cuda-nvtx-11.7.50-0
  99. cuda-nvvp nvidia/label/cuda-11.7.0/win-64::cuda-nvvp-11.7.50-0
  100. cuda-runtime nvidia/label/cuda-11.7.0/win-64::cuda-runtime-11.7.0-0
  101. cuda-sanitizer-api nvidia/label/cuda-11.7.0/win-64::cuda-sanitizer-api-11.7.50-0
  102. cuda-toolkit nvidia/label/cuda-11.7.0/win-64::cuda-toolkit-11.7.0-0
  103. cuda-tools nvidia/label/cuda-11.7.0/win-64::cuda-tools-11.7.0-0
  104. cuda-visual-tools nvidia/label/cuda-11.7.0/win-64::cuda-visual-tools-11.7.0-0
  105. filelock pkgs/main/win-64::filelock-3.13.1-py310haa95532_0
  106. freetype pkgs/main/win-64::freetype-2.12.1-ha860e81_0
  107. giflib pkgs/main/win-64::giflib-5.2.1-h8cc25b3_3
  108. git pkgs/main/win-64::git-2.40.1-haa95532_1
  109. idna pkgs/main/win-64::idna-3.4-py310haa95532_0
  110. intel-openmp pkgs/main/win-64::intel-openmp-2023.1.0-h59b6b97_46320
  111. jinja2 pkgs/main/win-64::jinja2-3.1.2-py310haa95532_0
  112. jpeg pkgs/main/win-64::jpeg-9e-h2bbff1b_1
  113. lerc pkgs/main/win-64::lerc-3.0-hd77b12b_0
  114. libcublas nvidia/label/cuda-11.7.0/win-64::libcublas-11.10.1.25-0
  115. libcublas-dev nvidia/label/cuda-11.7.0/win-64::libcublas-dev-11.10.1.25-0
  116. libcufft nvidia/label/cuda-11.7.0/win-64::libcufft-10.7.2.50-0
  117. libcufft-dev nvidia/label/cuda-11.7.0/win-64::libcufft-dev-10.7.2.50-0
  118. libcurand nvidia/label/cuda-11.7.0/win-64::libcurand-10.2.10.50-0
  119. libcurand-dev nvidia/label/cuda-11.7.0/win-64::libcurand-dev-10.2.10.50-0
  120. libcusolver nvidia/label/cuda-11.7.0/win-64::libcusolver-11.3.5.50-0
  121. libcusolver-dev nvidia/label/cuda-11.7.0/win-64::libcusolver-dev-11.3.5.50-0
  122. libcusparse nvidia/label/cuda-11.7.0/win-64::libcusparse-11.7.3.50-0
  123. libcusparse-dev nvidia/label/cuda-11.7.0/win-64::libcusparse-dev-11.7.3.50-0
  124. libdeflate pkgs/main/win-64::libdeflate-1.17-h2bbff1b_1
  125. libnpp nvidia/label/cuda-11.7.0/win-64::libnpp-11.7.3.21-0
  126. libnpp-dev nvidia/label/cuda-11.7.0/win-64::libnpp-dev-11.7.3.21-0
  127. libnvjpeg nvidia/label/cuda-11.7.0/win-64::libnvjpeg-11.7.2.34-0
  128. libnvjpeg-dev nvidia/label/cuda-11.7.0/win-64::libnvjpeg-dev-11.7.2.34-0
  129. libpng pkgs/main/win-64::libpng-1.6.39-h8cc25b3_0
  130. libtiff pkgs/main/win-64::libtiff-4.5.1-hd77b12b_0
  131. libuv pkgs/main/win-64::libuv-1.44.2-h2bbff1b_0
  132. libwebp pkgs/main/win-64::libwebp-1.3.2-hbc33d0d_0
  133. libwebp-base pkgs/main/win-64::libwebp-base-1.3.2-h2bbff1b_0
  134. lz4-c pkgs/main/win-64::lz4-c-1.9.4-h2bbff1b_0
  135. markupsafe pkgs/main/win-64::markupsafe-2.1.1-py310h2bbff1b_0
  136. mkl pkgs/main/win-64::mkl-2023.1.0-h6b88ed4_46358
  137. mkl-service pkgs/main/win-64::mkl-service-2.4.0-py310h2bbff1b_1
  138. mkl_fft pkgs/main/win-64::mkl_fft-1.3.8-py310h2bbff1b_0
  139. mkl_random pkgs/main/win-64::mkl_random-1.2.4-py310h59b6b97_0
  140. mpmath pkgs/main/win-64::mpmath-1.3.0-py310haa95532_0
  141. networkx pkgs/main/win-64::networkx-3.1-py310haa95532_0
  142. ninja pkgs/main/win-64::ninja-1.10.2-haa95532_5
  143. ninja-base pkgs/main/win-64::ninja-base-1.10.2-h6d14046_5
  144. nsight-compute nvidia/label/cuda-11.7.0/win-64::nsight-compute-2022.2.0.13-0
  145. numpy pkgs/main/win-64::numpy-1.26.0-py310h055cbcc_0
  146. numpy-base pkgs/main/win-64::numpy-base-1.26.0-py310h65a83cf_0
  147. openjpeg pkgs/main/win-64::openjpeg-2.4.0-h4fc8c34_0
  148. pillow pkgs/main/win-64::pillow-10.0.1-py310h045eedc_0
  149. pycparser pkgs/main/noarch::pycparser-2.21-pyhd3eb1b0_0
  150. pyopenssl pkgs/main/win-64::pyopenssl-23.2.0-py310haa95532_0
  151. pysocks pkgs/main/win-64::pysocks-1.7.1-py310haa95532_0
  152. pytorch pytorch/win-64::pytorch-2.0.0-py3.10_cuda11.7_cudnn8_0
  153. pytorch-cuda pytorch/win-64::pytorch-cuda-11.7-h16d0643_5
  154. pytorch-mutex pytorch/noarch::pytorch-mutex-1.0-cuda
  155. requests pkgs/main/win-64::requests-2.31.0-py310haa95532_0
  156. sympy pkgs/main/win-64::sympy-1.11.1-py310haa95532_0
  157. tbb pkgs/main/win-64::tbb-2021.8.0-h59b6b97_0
  158. torchaudio pytorch/win-64::torchaudio-2.0.0-py310_cu117
  159. torchvision pytorch/win-64::torchvision-0.15.0-py310_cu117
  160. typing_extensions pkgs/main/win-64::typing_extensions-4.7.1-py310haa95532_0
  161. urllib3 pkgs/main/win-64::urllib3-1.26.18-py310haa95532_0
  162. win_inet_pton pkgs/main/win-64::win_inet_pton-1.1.0-py310haa95532_0
  163. zstd pkgs/main/win-64::zstd-1.5.5-hd43e919_0
  164.  
  165.  
  166.  
  167. Downloading and Extracting Packages
  168. libwebp-base-1.3.2 | 306 KB | ############################################################################ | 100%
  169. libcurand-10.2.10.50 | 3 KB | ############################################################################ | 100%
  170. torchvision-0.15.0 | 7.7 MB | ############################################################################ | 100%
  171. cryptography-41.0.3 | 1.1 MB | ############################################################################ | 100%
  172. nsight-compute-2022. | 336.2 MB | | 0%
  173. cuda-nvdisasm-11.7.5 | 31.6 MB | | 0%
  174. jpeg-9e | 320 KB | ############################################################################ | 100%
  175. libcusparse-11.7.3.5 | 13 KB | ############################################################################ | 100%
  176. mkl-2023.1.0 | 155.9 MB | ###########5 | 15%
  177. cuda-nsight-compute- | 1 KB | ############################################################################ | 100%
  178. cuda-nvdisasm-11.7.5 | 31.6 MB | ############################################################################ | 100%
  179. cuda-nvvp-11.7.50 | 113.6 MB | | 0%
  180. pytorch-2.0.0 | 1.17 GB | # | 1%
  181. mkl-2023.1.0 | 155.9 MB | ##################################5 | 45%
  182. pytorch-2.0.0 | 1.17 GB | #1 | 1%
  183. cuda-nvprune-11.7.50 | 152 KB | | 0%
  184. brotli-python-1.0.9 | 309 KB | | 0%
  185. pytorch-2.0.0 | 1.17 GB | ###5 | 5%
  186. pytorch-cuda-11.7 | 4 KB | ############################################################################ | 100%
  187.  
  188. Preparing transaction: done
  189. Verifying transaction: failed
  190.  
  191. SafetyError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  192. appears to be corrupted. The path 'bin/cublas64_11.dll'
  193. has an incorrect size.
  194. reported size: 146231296 bytes
  195. actual size: 39436288 bytes
  196.  
  197. CondaVerificationError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  198. appears to be corrupted. The path 'bin/cublasLt64_11.dll'
  199. specified in the package manifest cannot be found.
  200.  
  201. CondaVerificationError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  202. appears to be corrupted. The path 'include/cublas.h'
  203. specified in the package manifest cannot be found.
  204.  
  205. CondaVerificationError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  206. appears to be corrupted. The path 'include/cublasLt.h'
  207. specified in the package manifest cannot be found.
  208.  
  209. CondaVerificationError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  210. appears to be corrupted. The path 'include/cublasXt.h'
  211. specified in the package manifest cannot be found.
  212.  
  213. CondaVerificationError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  214. appears to be corrupted. The path 'include/cublas_api.h'
  215. specified in the package manifest cannot be found.
  216.  
  217. CondaVerificationError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  218. appears to be corrupted. The path 'include/cublas_v2.h'
  219. specified in the package manifest cannot be found.
  220.  
  221. CondaVerificationError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  222. appears to be corrupted. The path 'include/nvblas.h'
  223. specified in the package manifest cannot be found.
  224.  
  225. CondaVerificationError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  226. appears to be corrupted. The path 'src/fortran.c'
  227. specified in the package manifest cannot be found.
  228.  
  229. CondaVerificationError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  230. appears to be corrupted. The path 'src/fortran.h'
  231. specified in the package manifest cannot be found.
  232.  
  233. CondaVerificationError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  234. appears to be corrupted. The path 'src/fortran_common.h'
  235. specified in the package manifest cannot be found.
  236.  
  237. CondaVerificationError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  238. appears to be corrupted. The path 'src/fortran_thunking.c'
  239. specified in the package manifest cannot be found.
  240.  
  241. CondaVerificationError: The package for libcublas-dev located at C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\conda\pkgs\libcublas-dev-11.10.1.25-0
  242. appears to be corrupted. The path 'src/fortran_thunking.h'
  243. specified in the package manifest cannot be found.
  244.  
  245. ClobberError: This transaction has incompatible packages due to a shared path.
  246. packages: defaults/win-64::git-2.40.1-haa95532_1, defaults/win-64::git-2.40.1-haa95532_1
  247. path: 'menu/menu-windows.json'
  248.  
  249.  
  250. ClobberError: This transaction has incompatible packages due to a shared path.
  251. packages: nvidia/label/cuda-11.7.0/win-64::cuda-cuobjdump-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-cupti-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-cuxxfilt-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-documentation-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-memcheck-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvcc-11.7.64-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvdisasm-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvml-dev-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvprof-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvprune-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvtx-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-sanitizer-api-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::nsight-compute-2022.2.0.13-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvvp-11.7.50-0
  252. path: 'license'
  253.  
  254.  
  255. ClobberError: This transaction has incompatible packages due to a shared path.
  256. packages: nvidia/label/cuda-11.7.0/win-64::cuda-cuobjdump-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-cupti-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-cuxxfilt-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-documentation-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-memcheck-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvcc-11.7.64-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvdisasm-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvml-dev-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvprof-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvprune-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvtx-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-sanitizer-api-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::nsight-compute-2022.2.0.13-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvvp-11.7.50-0
  257. path: 'build_env_setup.bat'
  258.  
  259.  
  260. ClobberError: This transaction has incompatible packages due to a shared path.
  261. packages: nvidia/label/cuda-11.7.0/win-64::cuda-cuobjdump-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-cupti-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-cuxxfilt-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-documentation-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-memcheck-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvcc-11.7.64-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvdisasm-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvml-dev-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvprof-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvprune-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvtx-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-sanitizer-api-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::nsight-compute-2022.2.0.13-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvvp-11.7.50-0
  262. path: 'conda_build.bat'
  263.  
  264.  
  265. ClobberError: This transaction has incompatible packages due to a shared path.
  266. packages: nvidia/label/cuda-11.7.0/win-64::cuda-cuobjdump-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-cupti-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-cuxxfilt-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-documentation-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-memcheck-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvcc-11.7.64-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvdisasm-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvml-dev-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvprof-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvprune-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvtx-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::cuda-sanitizer-api-11.7.50-0, nvidia/label/cuda-11.7.0/win-64::nsight-compute-2022.2.0.13-0, nvidia/label/cuda-11.7.0/win-64::cuda-nvvp-11.7.50-0
  267. path: 'metadata_conda_debug.yaml'
  268.  
  269.  
  270.  
  271. Collecting package metadata (current_repodata.json): done
  272. Solving environment: done
  273.  
  274.  
  275. ==> WARNING: A newer version of conda exists. <==
  276. current version: 23.1.0
  277. latest version: 23.10.0
  278.  
  279. Please update conda by running
  280.  
  281. $ conda update -n base -c defaults conda
  282.  
  283. Or to minimize the number of packages updated during conda update use
  284.  
  285. conda install conda=23.10.0
  286.  
  287.  
  288.  
  289. ## Package Plan ##
  290.  
  291. environment location: C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env
  292.  
  293. added / updated specs:
  294. - ffmpeg
  295.  
  296.  
  297. The following packages will be downloaded:
  298.  
  299. package | build
  300. ---------------------------|-----------------
  301. ffmpeg-4.3 | ha925a31_0 21.6 MB pytorch
  302. ------------------------------------------------------------
  303. Total: 21.6 MB
  304.  
  305. The following NEW packages will be INSTALLED:
  306.  
  307. ffmpeg pytorch/win-64::ffmpeg-4.3-ha925a31_0
  308.  
  309.  
  310.  
  311. Downloading and Extracting Packages
  312.  
  313. Preparing transaction: done
  314. Verifying transaction: done
  315. Executing transaction: done
  316. Collecting package metadata (current_repodata.json): done
  317. Solving environment: failed with initial frozen solve. Retrying with flexible solve.
  318. Collecting package metadata (repodata.json): done
  319. Solving environment: done
  320.  
  321.  
  322. ==> WARNING: A newer version of conda exists. <==
  323. current version: 23.1.0
  324. latest version: 23.10.0
  325.  
  326. Please update conda by running
  327.  
  328. $ conda update -n base -c defaults conda
  329.  
  330. Or to minimize the number of packages updated during conda update use
  331.  
  332. conda install conda=23.10.0
  333.  
  334.  
  335.  
  336. ## Package Plan ##
  337.  
  338. environment location: C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env
  339.  
  340. added / updated specs:
  341. - nodejs=18.16.1
  342.  
  343.  
  344. The following packages will be downloaded:
  345.  
  346. package | build
  347. ---------------------------|-----------------
  348. ca-certificates-2023.11.17 | h56e8100_0 151 KB conda-forge
  349. nodejs-18.16.1 | h57928b3_0 21.2 MB conda-forge
  350. ------------------------------------------------------------
  351. Total: 21.4 MB
  352.  
  353. The following NEW packages will be INSTALLED:
  354.  
  355. nodejs conda-forge/win-64::nodejs-18.16.1-h57928b3_0
  356.  
  357. The following packages will be UPDATED:
  358.  
  359. ca-certificates pkgs/main::ca-certificates-2023.08.22~ --> conda-forge::ca-certificates-2023.11.17-h56e8100_0
  360.  
  361.  
  362.  
  363. Downloading and Extracting Packages
  364.  
  365. Preparing transaction: done
  366. Verifying transaction: done
  367. Executing transaction: done
  368. Cloning into 'tts-generation-webui'...
  369. remote: Enumerating objects: 1197, done.
  370. remote: Counting objects: 100% (462/462), done.
  371. remote: Compressing objects: 100% (224/224), done.
  372. remote: Total 1197 (delta 290), reused 354 (delta 231), pack-reused 735
  373. Receiving objects: 100% (1197/1197), 21.73 MiB | 1.09 MiB/s, done.
  374. Resolving deltas: 100% (594/594), done.
  375. Already up to date.
  376. Collecting suno-bark@ git+https://github.com/rsxdalv/bark@0d91823ead3d87c317f12d01d325fca9408c669e#egg=suno-bark (from -r requirements.txt (line 8))
  377. Using cached suno_bark-0.1.0-py3-none-any.whl
  378. Collecting tortoise@ git+https://github.com/rsxdalv/tortoise-tts@518e73b64516c6d81bb325df22104a91128963c5#egg=tortoise (from -r requirements.txt (line 10))
  379. Using cached TorToiSe-2.8.0-py3-none-any.whl
  380. Collecting safetensors==0.3.1 (from -r requirements.txt (line 1))
  381. Using cached safetensors-0.3.1-cp310-cp310-win_amd64.whl (263 kB)
  382. Collecting torch==2.0.0 (from -r requirements.txt (line 2))
  383. Using cached torch-2.0.0-cp310-cp310-win_amd64.whl (172.3 MB)
  384. Collecting ffmpeg-python (from -r requirements.txt (line 3))
  385. Using cached ffmpeg_python-0.2.0-py3-none-any.whl (25 kB)
  386. Collecting gradio==3.35.2 (from -r requirements.txt (line 4))
  387. Using cached gradio-3.35.2-py3-none-any.whl.metadata (15 kB)
  388. Collecting python-dotenv==1.0.0 (from -r requirements.txt (line 5))
  389. Using cached python_dotenv-1.0.0-py3-none-any.whl (19 kB)
  390. Collecting soundfile==0.12.1 (from -r requirements.txt (line 6))
  391. Using cached soundfile-0.12.1-py2.py3-none-win_amd64.whl (1.0 MB)
  392. Collecting vocos==0.0.2 (from -r requirements.txt (line 9))
  393. Using cached vocos-0.0.2-py3-none-any.whl.metadata (4.4 kB)
  394. Collecting beartype>=0.16.1 (from -r requirements.txt (line 11))
  395. Using cached beartype-0.16.4-py3-none-any.whl.metadata (29 kB)
  396. Collecting filelock (from torch==2.0.0->-r requirements.txt (line 2))
  397. Using cached filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)
  398. Collecting typing-extensions (from torch==2.0.0->-r requirements.txt (line 2))
  399. Using cached typing_extensions-4.8.0-py3-none-any.whl.metadata (3.0 kB)
  400. Collecting sympy (from torch==2.0.0->-r requirements.txt (line 2))
  401. Using cached sympy-1.12-py3-none-any.whl (5.7 MB)
  402. Collecting networkx (from torch==2.0.0->-r requirements.txt (line 2))
  403. Using cached networkx-3.2.1-py3-none-any.whl.metadata (5.2 kB)
  404. Collecting jinja2 (from torch==2.0.0->-r requirements.txt (line 2))
  405. Using cached Jinja2-3.1.2-py3-none-any.whl (133 kB)
  406. Collecting aiofiles (from gradio==3.35.2->-r requirements.txt (line 4))
  407. Using cached aiofiles-23.2.1-py3-none-any.whl.metadata (9.7 kB)
  408. Collecting aiohttp (from gradio==3.35.2->-r requirements.txt (line 4))
  409. Using cached aiohttp-3.9.1-cp310-cp310-win_amd64.whl.metadata (7.6 kB)
  410. Collecting altair>=4.2.0 (from gradio==3.35.2->-r requirements.txt (line 4))
  411. Downloading altair-5.2.0-py3-none-any.whl.metadata (8.7 kB)
  412. Collecting fastapi (from gradio==3.35.2->-r requirements.txt (line 4))
  413. Using cached fastapi-0.104.1-py3-none-any.whl.metadata (24 kB)
  414. Collecting ffmpy (from gradio==3.35.2->-r requirements.txt (line 4))
  415. Using cached ffmpy-0.3.1-py3-none-any.whl
  416. Collecting gradio-client>=0.2.7 (from gradio==3.35.2->-r requirements.txt (line 4))
  417. Using cached gradio_client-0.7.0-py3-none-any.whl.metadata (7.1 kB)
  418. Collecting httpx (from gradio==3.35.2->-r requirements.txt (line 4))
  419. Using cached httpx-0.25.2-py3-none-any.whl.metadata (6.9 kB)
  420. Collecting huggingface-hub>=0.14.0 (from gradio==3.35.2->-r requirements.txt (line 4))
  421. Using cached huggingface_hub-0.19.4-py3-none-any.whl.metadata (14 kB)
  422. Collecting markdown-it-py>=2.0.0 (from markdown-it-py[linkify]>=2.0.0->gradio==3.35.2->-r requirements.txt (line 4))
  423. Using cached markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)
  424. Collecting markupsafe (from gradio==3.35.2->-r requirements.txt (line 4))
  425. Using cached MarkupSafe-2.1.3-cp310-cp310-win_amd64.whl.metadata (3.1 kB)
  426. Collecting matplotlib (from gradio==3.35.2->-r requirements.txt (line 4))
  427. Using cached matplotlib-3.8.2-cp310-cp310-win_amd64.whl.metadata (5.9 kB)
  428. Collecting mdit-py-plugins<=0.3.3 (from gradio==3.35.2->-r requirements.txt (line 4))
  429. Using cached mdit_py_plugins-0.3.3-py3-none-any.whl (50 kB)
  430. Collecting numpy (from gradio==3.35.2->-r requirements.txt (line 4))
  431. Using cached numpy-1.26.2-cp310-cp310-win_amd64.whl.metadata (61 kB)
  432. Collecting orjson (from gradio==3.35.2->-r requirements.txt (line 4))
  433. Using cached orjson-3.9.10-cp310-none-win_amd64.whl.metadata (50 kB)
  434. Collecting pandas (from gradio==3.35.2->-r requirements.txt (line 4))
  435. Using cached pandas-2.1.3-cp310-cp310-win_amd64.whl.metadata (18 kB)
  436. Collecting pillow (from gradio==3.35.2->-r requirements.txt (line 4))
  437. Using cached Pillow-10.1.0-cp310-cp310-win_amd64.whl.metadata (9.6 kB)
  438. Collecting pydantic (from gradio==3.35.2->-r requirements.txt (line 4))
  439. Using cached pydantic-2.5.2-py3-none-any.whl.metadata (65 kB)
  440. Collecting pydub (from gradio==3.35.2->-r requirements.txt (line 4))
  441. Using cached pydub-0.25.1-py2.py3-none-any.whl (32 kB)
  442. Collecting pygments>=2.12.0 (from gradio==3.35.2->-r requirements.txt (line 4))
  443. Using cached pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)
  444. Collecting python-multipart (from gradio==3.35.2->-r requirements.txt (line 4))
  445. Using cached python_multipart-0.0.6-py3-none-any.whl (45 kB)
  446. Collecting pyyaml (from gradio==3.35.2->-r requirements.txt (line 4))
  447. Using cached PyYAML-6.0.1-cp310-cp310-win_amd64.whl.metadata (2.1 kB)
  448. Collecting requests (from gradio==3.35.2->-r requirements.txt (line 4))
  449. Using cached requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)
  450. Collecting semantic-version (from gradio==3.35.2->-r requirements.txt (line 4))
  451. Using cached semantic_version-2.10.0-py2.py3-none-any.whl (15 kB)
  452. Collecting uvicorn>=0.14.0 (from gradio==3.35.2->-r requirements.txt (line 4))
  453. Using cached uvicorn-0.24.0.post1-py3-none-any.whl.metadata (6.4 kB)
  454. Collecting websockets>=10.0 (from gradio==3.35.2->-r requirements.txt (line 4))
  455. Using cached websockets-12.0-cp310-cp310-win_amd64.whl.metadata (6.8 kB)
  456. Collecting cffi>=1.0 (from soundfile==0.12.1->-r requirements.txt (line 6))
  457. Using cached cffi-1.16.0-cp310-cp310-win_amd64.whl.metadata (1.5 kB)
  458. Collecting torchaudio (from vocos==0.0.2->-r requirements.txt (line 9))
  459. Using cached torchaudio-2.1.1-cp310-cp310-win_amd64.whl.metadata (6.4 kB)
  460. Collecting scipy (from vocos==0.0.2->-r requirements.txt (line 9))
  461. Using cached scipy-1.11.4-cp310-cp310-win_amd64.whl.metadata (60 kB)
  462. Collecting einops (from vocos==0.0.2->-r requirements.txt (line 9))
  463. Using cached einops-0.7.0-py3-none-any.whl.metadata (13 kB)
  464. Collecting encodec==0.1.1 (from vocos==0.0.2->-r requirements.txt (line 9))
  465. Using cached encodec-0.1.1-py3-none-any.whl
  466. Collecting future (from ffmpeg-python->-r requirements.txt (line 3))
  467. Using cached future-0.18.3-py3-none-any.whl
  468. Collecting boto3 (from suno-bark@ git+https://github.com/rsxdalv/bark@0d91823ead3d87c317f12d01d325fca9408c669e#egg=suno-bark->-r requirements.txt (line 8))
  469. Downloading boto3-1.33.1-py3-none-any.whl.metadata (6.7 kB)
  470. Collecting funcy (from suno-bark@ git+https://github.com/rsxdalv/bark@0d91823ead3d87c317f12d01d325fca9408c669e#egg=suno-bark->-r requirements.txt (line 8))
  471. Using cached funcy-2.0-py2.py3-none-any.whl (30 kB)
  472. Collecting tokenizers (from suno-bark@ git+https://github.com/rsxdalv/bark@0d91823ead3d87c317f12d01d325fca9408c669e#egg=suno-bark->-r requirements.txt (line 8))
  473. Using cached tokenizers-0.15.0-cp310-none-win_amd64.whl.metadata (6.8 kB)
  474. Collecting tqdm (from suno-bark@ git+https://github.com/rsxdalv/bark@0d91823ead3d87c317f12d01d325fca9408c669e#egg=suno-bark->-r requirements.txt (line 8))
  475. Using cached tqdm-4.66.1-py3-none-any.whl.metadata (57 kB)
  476. Collecting transformers (from suno-bark@ git+https://github.com/rsxdalv/bark@0d91823ead3d87c317f12d01d325fca9408c669e#egg=suno-bark->-r requirements.txt (line 8))
  477. Using cached transformers-4.35.2-py3-none-any.whl.metadata (123 kB)
  478. Collecting rotary-embedding-torch (from tortoise@ git+https://github.com/rsxdalv/tortoise-tts@518e73b64516c6d81bb325df22104a91128963c5#egg=tortoise->-r requirements.txt (line 10))
  479. Using cached rotary_embedding_torch-0.3.6-py3-none-any.whl.metadata (678 bytes)
  480. Collecting inflect (from tortoise@ git+https://github.com/rsxdalv/tortoise-tts@518e73b64516c6d81bb325df22104a91128963c5#egg=tortoise->-r requirements.txt (line 10))
  481. Using cached inflect-7.0.0-py3-none-any.whl.metadata (21 kB)
  482. Collecting progressbar (from tortoise@ git+https://github.com/rsxdalv/tortoise-tts@518e73b64516c6d81bb325df22104a91128963c5#egg=tortoise->-r requirements.txt (line 10))
  483. Using cached progressbar-2.5-py3-none-any.whl
  484. Collecting unidecode (from tortoise@ git+https://github.com/rsxdalv/tortoise-tts@518e73b64516c6d81bb325df22104a91128963c5#egg=tortoise->-r requirements.txt (line 10))
  485. Using cached Unidecode-1.3.7-py3-none-any.whl.metadata (13 kB)
  486. Collecting librosa (from tortoise@ git+https://github.com/rsxdalv/tortoise-tts@518e73b64516c6d81bb325df22104a91128963c5#egg=tortoise->-r requirements.txt (line 10))
  487. Using cached librosa-0.10.1-py3-none-any.whl.metadata (8.3 kB)
  488. Collecting transformers (from suno-bark@ git+https://github.com/rsxdalv/bark@0d91823ead3d87c317f12d01d325fca9408c669e#egg=suno-bark->-r requirements.txt (line 8))
  489. Using cached transformers-4.31.0-py3-none-any.whl.metadata (116 kB)
  490. Collecting packaging>=20.0 (from transformers->suno-bark@ git+https://github.com/rsxdalv/bark@0d91823ead3d87c317f12d01d325fca9408c669e#egg=suno-bark->-r requirements.txt (line 8))
  491. Using cached packaging-23.2-py3-none-any.whl.metadata (3.2 kB)
  492. Collecting regex!=2019.12.17 (from transformers->suno-bark@ git+https://github.com/rsxdalv/bark@0d91823ead3d87c317f12d01d325fca9408c669e#egg=suno-bark->-r requirements.txt (line 8))
  493. Using cached regex-2023.10.3-cp310-cp310-win_amd64.whl.metadata (41 kB)
  494. Collecting tokenizers (from suno-bark@ git+https://github.com/rsxdalv/bark@0d91823ead3d87c317f12d01d325fca9408c669e#egg=suno-bark->-r requirements.txt (line 8))
  495. Using cached tokenizers-0.13.3-cp310-cp310-win_amd64.whl (3.5 MB)
  496. Collecting jsonschema>=3.0 (from altair>=4.2.0->gradio==3.35.2->-r requirements.txt (line 4))
  497. Using cached jsonschema-4.20.0-py3-none-any.whl.metadata (8.1 kB)
  498. Collecting toolz (from altair>=4.2.0->gradio==3.35.2->-r requirements.txt (line 4))
  499. Using cached toolz-0.12.0-py3-none-any.whl (55 kB)
  500. Collecting pycparser (from cffi>=1.0->soundfile==0.12.1->-r requirements.txt (line 6))
  501. Using cached pycparser-2.21-py2.py3-none-any.whl (118 kB)
  502. Collecting fsspec (from gradio-client>=0.2.7->gradio==3.35.2->-r requirements.txt (line 4))
  503. Using cached fsspec-2023.10.0-py3-none-any.whl.metadata (6.8 kB)
  504. Collecting websockets>=10.0 (from gradio==3.35.2->-r requirements.txt (line 4))
  505. Using cached websockets-11.0.3-cp310-cp310-win_amd64.whl (124 kB)
  506. Collecting mdurl~=0.1 (from markdown-it-py>=2.0.0->markdown-it-py[linkify]>=2.0.0->gradio==3.35.2->-r requirements.txt (line 4))
  507. Using cached mdurl-0.1.2-py3-none-any.whl (10.0 kB)
  508. Collecting linkify-it-py<3,>=1 (from markdown-it-py[linkify]>=2.0.0->gradio==3.35.2->-r requirements.txt (line 4))
  509. Using cached linkify_it_py-2.0.2-py3-none-any.whl (19 kB)
  510. INFO: pip is looking at multiple versions of mdit-py-plugins to determine which version is compatible with other requirements. This could take a while.
  511. Collecting mdit-py-plugins<=0.3.3 (from gradio==3.35.2->-r requirements.txt (line 4))
  512. Using cached mdit_py_plugins-0.3.2-py3-none-any.whl (50 kB)
  513. Using cached mdit_py_plugins-0.3.1-py3-none-any.whl (46 kB)
  514. Using cached mdit_py_plugins-0.3.0-py3-none-any.whl (43 kB)
  515. Using cached mdit_py_plugins-0.2.8-py3-none-any.whl (41 kB)
  516. Using cached mdit_py_plugins-0.2.7-py3-none-any.whl (41 kB)
  517. Using cached mdit_py_plugins-0.2.6-py3-none-any.whl (39 kB)
  518. Using cached mdit_py_plugins-0.2.5-py3-none-any.whl (39 kB)
  519. INFO: pip is still looking at multiple versions of mdit-py-plugins to determine which version is compatible with other requirements. This could take a while.
  520. Using cached mdit_py_plugins-0.2.4-py3-none-any.whl (39 kB)
  521. Using cached mdit_py_plugins-0.2.3-py3-none-any.whl (39 kB)
  522. Using cached mdit_py_plugins-0.2.2-py3-none-any.whl (39 kB)
  523. Using cached mdit_py_plugins-0.2.1-py3-none-any.whl (38 kB)
  524. Using cached mdit_py_plugins-0.2.0-py3-none-any.whl (38 kB)
  525. INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.
  526. Using cached mdit_py_plugins-0.1.0-py3-none-any.whl (37 kB)
  527. Collecting markdown-it-py[linkify]>=2.0.0 (from gradio==3.35.2->-r requirements.txt (line 4))
  528. Using cached markdown_it_py-2.2.0-py3-none-any.whl (84 kB)
  529. Collecting python-dateutil>=2.8.2 (from pandas->gradio==3.35.2->-r requirements.txt (line 4))
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  626. Collecting llvmlite<0.42,>=0.41.0dev0 (from numba>=0.51.0->librosa->tortoise@ git+https://github.com/rsxdalv/tortoise-tts@518e73b64516c6d81bb325df22104a91128963c5#egg=tortoise->-r requirements.txt (line 10))
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  711. Installing collected packages: tokenizers, safetensors, pytz, pydub, progressbar, mpmath, funcy, ffmpy, websockets, urllib3, unidecode, uc-micro-py, tzdata, typing-extensions, toolz, threadpoolctl, sympy, sniffio, six, semantic-version, rpds-py, regex, pyyaml, python-multipart, python-dotenv, pyparsing, pygments, pycparser, platformdirs, pillow, packaging, orjson, numpy, networkx, multidict, msgpack, mdurl, markupsafe, llvmlite, lazy-loader, kiwisolver, joblib, jmespath, idna, h11, future, fsspec, frozenlist, fonttools, filelock, exceptiongroup, einops, decorator, cycler, colorama, charset-normalizer, certifi, beartype, audioread, attrs, async-timeout, annotated-types, aiofiles, yarl, tqdm, soxr, scipy, requests, referencing, python-dateutil, pydantic-core, numba, markdown-it-py, linkify-it-py, jinja2, httpcore, ffmpeg-python, contourpy, click, cffi, anyio, aiosignal, uvicorn, torch, starlette, soundfile, scikit-learn, pydantic, pooch, pandas, mdit-py-plugins, matplotlib, jsonschema-specifications, huggingface-hub, httpx, botocore, aiohttp, transformers, torchaudio, s3transfer, rotary-embedding-torch, librosa, jsonschema, inflect, gradio-client, fastapi, tortoise, encodec, boto3, altair, vocos, suno-bark, gradio
  712.  
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