API tools faq
paste
Advertisement
Skettalee

Error installing OmniGen

Skettalee
Nov 9th, 2024
118
0
Never
Add comment
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
Python 142.99 KB | Source Code | 0 0
raw download clone embed print report
  1. Microsoft Windows [Version 10.0.22631.4391]
  2. (c) Microsoft Corporation. All rights reserved.
  3.  
  4. C:\!Sd\OmniGen>where python
  5. C:\Users\damie\AppData\Local\Programs\Python\Python310\python.exe
  6. C:\!Sd\Comfy\python_embeded\python.exe
  7. C:\Users\damie\AppData\Local\Microsoft\WindowsApps\python.exe
  8.  
  9. C:\!Sd\OmniGen>python
  10. Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr  5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)] on win32
  11. Type "help", "copyright", "credits" or "license" for more information.
  12. >>>
  13.  
  14. C:\!Sd\OmniGen>python -m venv env
  15.  
  16. C:\!Sd\OmniGen>call env\scripts\activate
  17.  
  18. (env) C:\!Sd\OmniGen>pip install -e .
  19. Obtaining file:///C:/%21Sd/OmniGen
  20.   Preparing metadata (setup.py) ... done
  21. Collecting torch<2.5
  22.   Downloading torch-2.4.1-cp310-cp310-win_amd64.whl (199.4 MB)
  23.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 199.4/199.4 MB 22.6 MB/s eta 0:00:00
  24. Collecting transformers>=4.45.2
  25.   Downloading transformers-4.46.2-py3-none-any.whl (10.0 MB)
  26.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.0/10.0 MB 64.3 MB/s eta 0:00:00
  27. Collecting datasets
  28.   Downloading datasets-3.1.0-py3-none-any.whl (480 kB)
  29.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 480.6/480.6 kB 29.4 MB/s eta 0:00:00
  30. Collecting accelerate>=0.26.1
  31.   Downloading accelerate-1.1.1-py3-none-any.whl (333 kB)
  32.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 333.2/333.2 kB 20.2 MB/s eta 0:00:00
  33. Collecting diffusers>=0.30.3
  34.   Downloading diffusers-0.31.0-py3-none-any.whl (2.9 MB)
  35.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.9/2.9 MB 46.2 MB/s eta 0:00:00
  36. Collecting timm
  37.   Downloading timm-1.0.11-py3-none-any.whl (2.3 MB)
  38.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.3/2.3 MB 74.7 MB/s eta 0:00:00
  39. Collecting peft>=0.9.0
  40.   Downloading peft-0.13.2-py3-none-any.whl (320 kB)
  41.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 320.7/320.7 kB ? eta 0:00:00
  42. Collecting safetensors
  43.   Downloading safetensors-0.4.5-cp310-none-win_amd64.whl (285 kB)
  44.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 285.9/285.9 kB ? eta 0:00:00
  45. Requirement already satisfied: setuptools in c:\!sd\omnigen\env\lib\site-packages (from OmniGen==1.0.3) (65.5.0)
  46. Collecting huggingface-hub>=0.21.0
  47.   Using cached huggingface_hub-0.26.2-py3-none-any.whl (447 kB)
  48. Collecting psutil
  49.   Downloading psutil-6.1.0-cp37-abi3-win_amd64.whl (254 kB)
  50.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 254.2/254.2 kB ? eta 0:00:00
  51. Collecting numpy<3.0.0,>=1.17
  52.   Downloading numpy-2.1.3-cp310-cp310-win_amd64.whl (12.9 MB)
  53.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.9/12.9 MB 54.7 MB/s eta 0:00:00
  54. Collecting packaging>=20.0
  55.   Downloading packaging-24.2-py3-none-any.whl (65 kB)
  56.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 65.5/65.5 kB ? eta 0:00:00
  57. Collecting pyyaml
  58.   Using cached PyYAML-6.0.2-cp310-cp310-win_amd64.whl (161 kB)
  59. Collecting importlib-metadata
  60.   Downloading importlib_metadata-8.5.0-py3-none-any.whl (26 kB)
  61. Collecting requests
  62.   Using cached requests-2.32.3-py3-none-any.whl (64 kB)
  63. Collecting Pillow
  64.   Using cached pillow-11.0.0-cp310-cp310-win_amd64.whl (2.6 MB)
  65. Collecting filelock
  66.   Using cached filelock-3.16.1-py3-none-any.whl (16 kB)
  67. Collecting regex!=2019.12.17
  68.   Downloading regex-2024.11.6-cp310-cp310-win_amd64.whl (274 kB)
  69.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 274.0/274.0 kB ? eta 0:00:00
  70. Collecting tqdm
  71.   Downloading tqdm-4.67.0-py3-none-any.whl (78 kB)
  72.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB ? eta 0:00:00
  73. Collecting sympy
  74.   Using cached sympy-1.13.3-py3-none-any.whl (6.2 MB)
  75. Collecting typing-extensions>=4.8.0
  76.   Using cached typing_extensions-4.12.2-py3-none-any.whl (37 kB)
  77. Collecting fsspec
  78.   Using cached fsspec-2024.10.0-py3-none-any.whl (179 kB)
  79. Collecting jinja2
  80.   Using cached jinja2-3.1.4-py3-none-any.whl (133 kB)
  81. Collecting networkx
  82.   Using cached networkx-3.4.2-py3-none-any.whl (1.7 MB)
  83. Collecting tokenizers<0.21,>=0.20
  84.   Downloading tokenizers-0.20.3-cp310-none-win_amd64.whl (2.4 MB)
  85.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.4/2.4 MB 76.5 MB/s eta 0:00:00
  86. Collecting pyarrow>=15.0.0
  87.   Downloading pyarrow-18.0.0-cp310-cp310-win_amd64.whl (25.1 MB)
  88.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 25.1/25.1 MB 54.4 MB/s eta 0:00:00
  89. Collecting pandas
  90.   Using cached pandas-2.2.3-cp310-cp310-win_amd64.whl (11.6 MB)
  91. Collecting xxhash
  92.   Downloading xxhash-3.5.0-cp310-cp310-win_amd64.whl (30 kB)
  93. Collecting multiprocess<0.70.17
  94.   Downloading multiprocess-0.70.16-py310-none-any.whl (134 kB)
  95.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.8/134.8 kB ? eta 0:00:00
  96. Collecting aiohttp
  97.   Using cached aiohttp-3.10.10-cp310-cp310-win_amd64.whl (381 kB)
  98. Collecting dill<0.3.9,>=0.3.0
  99.   Downloading dill-0.3.8-py3-none-any.whl (116 kB)
  100.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 116.3/116.3 kB 7.1 MB/s eta 0:00:00
  101. Collecting fsspec[http]<=2024.9.0,>=2023.1.0
  102.   Downloading fsspec-2024.9.0-py3-none-any.whl (179 kB)
  103.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 179.3/179.3 kB ? eta 0:00:00
  104. Collecting torchvision
  105.   Downloading torchvision-0.20.1-cp310-cp310-win_amd64.whl (1.6 MB)
  106.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 50.1 MB/s eta 0:00:00
  107. Collecting frozenlist>=1.1.1
  108.   Using cached frozenlist-1.5.0-cp310-cp310-win_amd64.whl (51 kB)
  109. Collecting aiohappyeyeballs>=2.3.0
  110.   Using cached aiohappyeyeballs-2.4.3-py3-none-any.whl (14 kB)
  111. Collecting attrs>=17.3.0
  112.   Using cached attrs-24.2.0-py3-none-any.whl (63 kB)
  113. Collecting aiosignal>=1.1.2
  114.   Using cached aiosignal-1.3.1-py3-none-any.whl (7.6 kB)
  115. Collecting async-timeout<5.0,>=4.0
  116.   Using cached async_timeout-4.0.3-py3-none-any.whl (5.7 kB)
  117. Collecting yarl<2.0,>=1.12.0
  118.   Using cached yarl-1.17.1-cp310-cp310-win_amd64.whl (89 kB)
  119. Collecting multidict<7.0,>=4.5
  120.   Using cached multidict-6.1.0-cp310-cp310-win_amd64.whl (28 kB)
  121. Collecting idna<4,>=2.5
  122.   Using cached idna-3.10-py3-none-any.whl (70 kB)
  123. Collecting urllib3<3,>=1.21.1
  124.   Using cached urllib3-2.2.3-py3-none-any.whl (126 kB)
  125. Collecting certifi>=2017.4.17
  126.   Using cached certifi-2024.8.30-py3-none-any.whl (167 kB)
  127. Collecting charset-normalizer<4,>=2
  128.   Using cached charset_normalizer-3.4.0-cp310-cp310-win_amd64.whl (102 kB)
  129. Collecting colorama
  130.   Using cached colorama-0.4.6-py2.py3-none-any.whl (25 kB)
  131. Collecting zipp>=3.20
  132.   Downloading zipp-3.20.2-py3-none-any.whl (9.2 kB)
  133. Collecting MarkupSafe>=2.0
  134.   Using cached MarkupSafe-3.0.2-cp310-cp310-win_amd64.whl (15 kB)
  135. Collecting tzdata>=2022.7
  136.   Using cached tzdata-2024.2-py2.py3-none-any.whl (346 kB)
  137. Collecting pytz>=2020.1
  138.   Using cached pytz-2024.2-py2.py3-none-any.whl (508 kB)
  139. Collecting python-dateutil>=2.8.2
  140.   Using cached python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)
  141. Collecting mpmath<1.4,>=1.1.0
  142.   Using cached mpmath-1.3.0-py3-none-any.whl (536 kB)
  143. Collecting torchvision
  144.   Downloading torchvision-0.20.0-cp310-cp310-win_amd64.whl (1.6 MB)
  145.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 50.2 MB/s eta 0:00:00
  146.   Downloading torchvision-0.19.1-cp310-cp310-win_amd64.whl (1.3 MB)
  147.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.3/1.3 MB 41.2 MB/s eta 0:00:00
  148. Collecting six>=1.5
  149.   Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
  150. Collecting propcache>=0.2.0
  151.   Using cached propcache-0.2.0-cp310-cp310-win_amd64.whl (44 kB)
  152. Installing collected packages: pytz, mpmath, zipp, xxhash, urllib3, tzdata, typing-extensions, sympy, six, safetensors, regex, pyyaml, pyarrow, psutil, propcache, Pillow, packaging, numpy, networkx, MarkupSafe, idna, fsspec, frozenlist, filelock, dill, colorama, charset-normalizer, certifi, attrs, async-timeout, aiohappyeyeballs, tqdm, requests, python-dateutil, multiprocess, multidict, jinja2, importlib-metadata, aiosignal, yarl, torch, pandas,huggingface-hub, torchvision, tokenizers, diffusers, aiohttp, accelerate, transformers, timm, peft, datasets, OmniGen
  153.   Running setup.py develop for OmniGen
  154. Successfully installed MarkupSafe-3.0.2 OmniGen-1.0.3 Pillow-11.0.0 accelerate-1.1.1 aiohappyeyeballs-2.4.3 aiohttp-3.10.10 aiosignal-1.3.1 async-timeout-4.0.3 attrs-24.2.0 certifi-2024.8.30 charset-normalizer-3.4.0 colorama-0.4.6 datasets-3.1.0 diffusers-0.31.0 dill-0.3.8 filelock-3.16.1 frozenlist-1.5.0 fsspec-2024.9.0 huggingface-hub-0.26.2 idna-3.10 importlib-metadata-8.5.0 jinja2-3.1.4 mpmath-1.3.0 multidict-6.1.0 multiprocess-0.70.16 networkx-3.4.2 numpy-2.1.3 packaging-24.2 pandas-2.2.3 peft-0.13.2 propcache-0.2.0 psutil-6.1.0 pyarrow-18.0.0 python-dateutil-2.9.0.post0 pytz-2024.2 pyyaml-6.0.2 regex-2024.11.6 requests-2.32.3 safetensors-0.4.5 six-1.16.0 sympy-1.13.3 timm-1.0.11 tokenizers-0.20.3 torch-2.4.1 torchvision-0.19.1 tqdm-4.67.0 transformers-4.46.2 typing-extensions-4.12.2 tzdata-2024.2 urllib3-2.2.3 xxhash-3.5.0 yarl-1.17.1 zipp-3.20.2
  155.  
  156. [notice] A new release of pip is available: 23.0.1 -> 24.3.1
  157. [notice] To update, run: python.exe -m pip install --upgrade pip
  158.  
  159. (env) C:\!Sd\OmniGen>python.exe -m pip install --upgrade pip
  160. Requirement already satisfied: pip in c:\!sd\omnigen\env\lib\site-packages (23.0.1)
  161. Collecting pip
  162.   Using cached pip-24.3.1-py3-none-any.whl (1.8 MB)
  163. Installing collected packages: pip
  164.   Attempting uninstall: pip
  165.     Found existing installation: pip 23.0.1
  166.     Uninstalling pip-23.0.1:
  167.       Successfully uninstalled pip-23.0.1
  168. Successfully installed pip-24.3.1
  169.  
  170. (env) C:\!Sd\OmniGen>pip install torch==2.3.1+cu118 torchvision --extra-index-url https://download.pytorch.org/whl/cu1
  171. 18
  172. Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu118
  173. Collecting torch==2.3.1+cu118
  174.   Downloading https://download.pytorch.org/whl/cu118/torch-2.3.1%2Bcu118-cp310-cp310-win_amd64.whl (2673.0 MB)
  175.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.7/2.7 GB 39.3 MB/s eta 0:00:00
  176. Requirement already satisfied: torchvision in c:\!sd\omnigen\env\lib\site-packages (0.19.1)
  177. Requirement already satisfied: filelock in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1+cu118) (3.16.1)
  178. Requirement already satisfied: typing-extensions>=4.8.0 in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1+cu118) (4.12.2)
  179. Requirement already satisfied: sympy in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1+cu118) (1.13.3)
  180. Requirement already satisfied: networkx in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1+cu118) (3.4.2)
  181. Requirement already satisfied: jinja2 in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1+cu118) (3.1.4)
  182. Requirement already satisfied: fsspec in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1+cu118) (2024.9.0)
  183. Collecting mkl<=2021.4.0,>=2021.1.1 (from torch==2.3.1+cu118)
  184.   Downloading https://download.pytorch.org/whl/mkl-2021.4.0-py2.py3-none-win_amd64.whl (228.5 MB)
  185.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 228.5/228.5 MB 57.7 MB/s eta 0:00:00
  186. Requirement already satisfied: numpy in c:\!sd\omnigen\env\lib\site-packages (from torchvision) (2.1.3)
  187. INFO: pip is looking at multiple versions of torchvision to determine which version is compatible with other requirements. This could take a while.
  188. Collecting torchvision
  189.   Downloading https://download.pytorch.org/whl/cu118/torchvision-0.20.1%2Bcu118-cp310-cp310-win_amd64.whl (5.3 MB)
  190.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.3/5.3 MB 54.2 MB/s eta 0:00:00
  191.   Downloading torchvision-0.20.1-cp310-cp310-win_amd64.whl.metadata (6.2 kB)
  192.   Downloading https://download.pytorch.org/whl/cu118/torchvision-0.20.0%2Bcu118-cp310-cp310-win_amd64.whl (5.3 MB)
  193.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.3/5.3 MB 45.9 MB/s eta 0:00:00
  194.   Using cached torchvision-0.20.0-cp310-cp310-win_amd64.whl.metadata (6.2 kB)
  195.   Downloading https://download.pytorch.org/whl/cu118/torchvision-0.19.1%2Bcu118-cp310-cp310-win_amd64.whl (5.0 MB)
  196.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.0/5.0 MB 50.7 MB/s eta 0:00:00
  197.   Downloading https://download.pytorch.org/whl/cu118/torchvision-0.19.0%2Bcu118-cp310-cp310-win_amd64.whl (5.0 MB)
  198.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.0/5.0 MB 50.7 MB/s eta 0:00:00
  199.   Downloading torchvision-0.19.0-1-cp310-cp310-win_amd64.whl.metadata (6.1 kB)
  200. Collecting numpy<2 (from torchvision)
  201.   Using cached numpy-1.26.4-cp310-cp310-win_amd64.whl.metadata (61 kB)
  202. INFO: pip is still looking at multiple versions of torchvision to determine which version is compatible with other requirements. This could take a while.
  203. Collecting torchvision
  204.   Downloading https://download.pytorch.org/whl/cu118/torchvision-0.18.1%2Bcu118-cp310-cp310-win_amd64.whl (4.9 MB)
  205.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.9/4.9 MB 50.1 MB/s eta 0:00:00
  206. Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in c:\!sd\omnigen\env\lib\site-packages (from torchvision) (11.0.0)
  207. Collecting intel-openmp==2021.* (from mkl<=2021.4.0,>=2021.1.1->torch==2.3.1+cu118)
  208.   Downloading https://download.pytorch.org/whl/intel_openmp-2021.4.0-py2.py3-none-win_amd64.whl (3.5 MB)
  209.      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.5/3.5 MB 51.7 MB/s eta 0:00:00
  210. Collecting tbb==2021.* (from mkl<=2021.4.0,>=2021.1.1->torch==2.3.1+cu118)
  211.   Downloading tbb-2021.13.1-py3-none-win_amd64.whl.metadata (1.1 kB)
  212. Requirement already satisfied: MarkupSafe>=2.0 in c:\!sd\omnigen\env\lib\site-packages (from jinja2->torch==2.3.1+cu118) (3.0.2)
  213. Requirement already satisfied: mpmath<1.4,>=1.1.0 in c:\!sd\omnigen\env\lib\site-packages (from sympy->torch==2.3.1+cu118) (1.3.0)
  214. Downloading tbb-2021.13.1-py3-none-win_amd64.whl (286 kB)
  215. Installing collected packages: tbb, intel-openmp, mkl, torch, torchvision
  216.   Attempting uninstall: torch
  217.     Found existing installation: torch 2.4.1
  218.     Uninstalling torch-2.4.1:
  219.       Successfully uninstalled torch-2.4.1
  220.   Attempting uninstall: torchvision
  221.     Found existing installation: torchvision 0.19.1
  222.     Uninstalling torchvision-0.19.1:
  223.       Successfully uninstalled torchvision-0.19.1
  224. Successfully installed intel-openmp-2021.4.0 mkl-2021.4.0 tbb-2021.13.1 torch-2.3.1+cu118 torchvision-0.18.1+cu118
  225.  
  226. (env) C:\!Sd\OmniGen>pip install gradio spaces
  227. Collecting gradio
  228.   Downloading gradio-5.5.0-py3-none-any.whl.metadata (16 kB)
  229. Collecting spaces
  230.   Downloading spaces-0.30.4-py3-none-any.whl.metadata (1.0 kB)
  231. Collecting aiofiles<24.0,>=22.0 (from gradio)
  232.   Using cached aiofiles-23.2.1-py3-none-any.whl.metadata (9.7 kB)
  233. Collecting anyio<5.0,>=3.0 (from gradio)
  234.   Using cached anyio-4.6.2.post1-py3-none-any.whl.metadata (4.7 kB)
  235. Collecting fastapi<1.0,>=0.115.2 (from gradio)
  236.   Using cached fastapi-0.115.4-py3-none-any.whl.metadata (27 kB)
  237. Collecting ffmpy (from gradio)
  238.   Using cached ffmpy-0.4.0-py3-none-any.whl.metadata (2.9 kB)
  239. Collecting gradio-client==1.4.2 (from gradio)
  240.   Using cached gradio_client-1.4.2-py3-none-any.whl.metadata (7.1 kB)
  241. Collecting httpx>=0.24.1 (from gradio)
  242.   Using cached httpx-0.27.2-py3-none-any.whl.metadata (7.1 kB)
  243. Requirement already satisfied: huggingface-hub>=0.25.1 in c:\!sd\omnigen\env\lib\site-packages (from gradio) (0.26.2)
  244. Requirement already satisfied: jinja2<4.0 in c:\!sd\omnigen\env\lib\site-packages (from gradio) (3.1.4)
  245. Collecting markupsafe~=2.0 (from gradio)
  246.   Using cached MarkupSafe-2.1.5-cp310-cp310-win_amd64.whl.metadata (3.1 kB)
  247. Requirement already satisfied: numpy<3.0,>=1.0 in c:\!sd\omnigen\env\lib\site-packages (from gradio) (2.1.3)
  248. Collecting orjson~=3.0 (from gradio)
  249.   Downloading orjson-3.10.11-cp310-none-win_amd64.whl.metadata (52 kB)
  250. Requirement already satisfied: packaging in c:\!sd\omnigen\env\lib\site-packages (from gradio) (24.2)
  251. Requirement already satisfied: pandas<3.0,>=1.0 in c:\!sd\omnigen\env\lib\site-packages (from gradio) (2.2.3)
  252. Requirement already satisfied: pillow<12.0,>=8.0 in c:\!sd\omnigen\env\lib\site-packages (from gradio) (11.0.0)
  253. Collecting pydantic>=2.0 (from gradio)
  254.   Using cached pydantic-2.9.2-py3-none-any.whl.metadata (149 kB)
  255. Collecting pydub (from gradio)
  256.   Using cached pydub-0.25.1-py2.py3-none-any.whl.metadata (1.4 kB)
  257. Collecting python-multipart==0.0.12 (from gradio)
  258.   Using cached python_multipart-0.0.12-py3-none-any.whl.metadata (1.9 kB)
  259. Requirement already satisfied: pyyaml<7.0,>=5.0 in c:\!sd\omnigen\env\lib\site-packages (from gradio) (6.0.2)
  260. Collecting ruff>=0.2.2 (from gradio)
  261.   Downloading ruff-0.7.3-py3-none-win_amd64.whl.metadata (25 kB)
  262. Collecting safehttpx<1.0,>=0.1.1 (from gradio)
  263.   Using cached safehttpx-0.1.1-py3-none-any.whl.metadata (4.1 kB)
  264. Collecting semantic-version~=2.0 (from gradio)
  265.   Using cached semantic_version-2.10.0-py2.py3-none-any.whl.metadata (9.7 kB)
  266. Collecting starlette<1.0,>=0.40.0 (from gradio)
  267.   Using cached starlette-0.41.2-py3-none-any.whl.metadata (6.0 kB)
  268. Collecting tomlkit==0.12.0 (from gradio)
  269.   Using cached tomlkit-0.12.0-py3-none-any.whl.metadata (2.7 kB)
  270. Collecting typer<1.0,>=0.12 (from gradio)
  271.   Using cached typer-0.13.0-py3-none-any.whl.metadata (15 kB)
  272. Requirement already satisfied: typing-extensions~=4.0 in c:\!sd\omnigen\env\lib\site-packages (from gradio) (4.12.2)
  273. Collecting uvicorn>=0.14.0 (from gradio)
  274.   Using cached uvicorn-0.32.0-py3-none-any.whl.metadata (6.6 kB)
  275. Requirement already satisfied: fsspec in c:\!sd\omnigen\env\lib\site-packages (from gradio-client==1.4.2->gradio) (2024.9.0)
  276. Collecting websockets<13.0,>=10.0 (from gradio-client==1.4.2->gradio)
  277.   Using cached websockets-12.0-cp310-cp310-win_amd64.whl.metadata (6.8 kB)
  278. Collecting psutil<6,>=2 (from spaces)
  279.   Downloading psutil-5.9.8-cp37-abi3-win_amd64.whl.metadata (22 kB)
  280. Requirement already satisfied: requests<3.0,>=2.19 in c:\!sd\omnigen\env\lib\site-packages (from spaces) (2.32.3)
  281. Requirement already satisfied: idna>=2.8 in c:\!sd\omnigen\env\lib\site-packages (from anyio<5.0,>=3.0->gradio) (3.10)
  282. Collecting sniffio>=1.1 (from anyio<5.0,>=3.0->gradio)
  283.   Using cached sniffio-1.3.1-py3-none-any.whl.metadata (3.9 kB)
  284. Collecting exceptiongroup>=1.0.2 (from anyio<5.0,>=3.0->gradio)
  285.   Using cached exceptiongroup-1.2.2-py3-none-any.whl.metadata (6.6 kB)
  286. Requirement already satisfied: certifi in c:\!sd\omnigen\env\lib\site-packages (from httpx>=0.24.1->gradio) (2024.8.30)
  287. Collecting httpcore==1.* (from httpx>=0.24.1->gradio)
  288.   Using cached httpcore-1.0.6-py3-none-any.whl.metadata (21 kB)
  289. Collecting h11<0.15,>=0.13 (from httpcore==1.*->httpx>=0.24.1->gradio)
  290.   Using cached h11-0.14.0-py3-none-any.whl.metadata (8.2 kB)
  291. Requirement already satisfied: filelock in c:\!sd\omnigen\env\lib\site-packages (from huggingface-hub>=0.25.1->gradio) (3.16.1)
  292. Requirement already satisfied: tqdm>=4.42.1 in c:\!sd\omnigen\env\lib\site-packages (from huggingface-hub>=0.25.1->gradio) (4.67.0)
  293. Requirement already satisfied: python-dateutil>=2.8.2 in c:\!sd\omnigen\env\lib\site-packages (from pandas<3.0,>=1.0->gradio) (2.9.0.post0)
  294. Requirement already satisfied: pytz>=2020.1 in c:\!sd\omnigen\env\lib\site-packages (from pandas<3.0,>=1.0->gradio) (2024.2)
  295. Requirement already satisfied: tzdata>=2022.7 in c:\!sd\omnigen\env\lib\site-packages (from pandas<3.0,>=1.0->gradio) (2024.2)
  296. Collecting annotated-types>=0.6.0 (from pydantic>=2.0->gradio)
  297.   Using cached annotated_types-0.7.0-py3-none-any.whl.metadata (15 kB)
  298. Collecting pydantic-core==2.23.4 (from pydantic>=2.0->gradio)
  299.   Using cached pydantic_core-2.23.4-cp310-none-win_amd64.whl.metadata (6.7 kB)
  300. Requirement already satisfied: charset-normalizer<4,>=2 in c:\!sd\omnigen\env\lib\site-packages (from requests<3.0,>=2.19->spaces) (3.4.0)
  301. Requirement already satisfied: urllib3<3,>=1.21.1 in c:\!sd\omnigen\env\lib\site-packages (from requests<3.0,>=2.19->spaces) (2.2.3)
  302. Collecting click>=8.0.0 (from typer<1.0,>=0.12->gradio)
  303.   Using cached click-8.1.7-py3-none-any.whl.metadata (3.0 kB)
  304. Collecting shellingham>=1.3.0 (from typer<1.0,>=0.12->gradio)
  305.   Using cached shellingham-1.5.4-py2.py3-none-any.whl.metadata (3.5 kB)
  306. Collecting rich>=10.11.0 (from typer<1.0,>=0.12->gradio)
  307.   Using cached rich-13.9.4-py3-none-any.whl.metadata (18 kB)
  308. Requirement already satisfied: colorama in c:\!sd\omnigen\env\lib\site-packages (from click>=8.0.0->typer<1.0,>=0.12->gradio) (0.4.6)
  309. Requirement already satisfied: six>=1.5 in c:\!sd\omnigen\env\lib\site-packages (from python-dateutil>=2.8.2->pandas<3.0,>=1.0->gradio) (1.16.0)
  310. Collecting markdown-it-py>=2.2.0 (from rich>=10.11.0->typer<1.0,>=0.12->gradio)
  311.   Using cached markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)
  312. Collecting pygments<3.0.0,>=2.13.0 (from rich>=10.11.0->typer<1.0,>=0.12->gradio)
  313.   Using cached pygments-2.18.0-py3-none-any.whl.metadata (2.5 kB)
  314. Collecting mdurl~=0.1 (from markdown-it-py>=2.2.0->rich>=10.11.0->typer<1.0,>=0.12->gradio)
  315.   Using cached mdurl-0.1.2-py3-none-any.whl.metadata (1.6 kB)
  316. Downloading gradio-5.5.0-py3-none-any.whl (56.7 MB)
  317.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.7/56.7 MB 45.2 MB/s eta 0:00:00
  318. Using cached gradio_client-1.4.2-py3-none-any.whl (319 kB)
  319. Using cached python_multipart-0.0.12-py3-none-any.whl (23 kB)
  320. Using cached tomlkit-0.12.0-py3-none-any.whl (37 kB)
  321. Downloading spaces-0.30.4-py3-none-any.whl (27 kB)
  322. Using cached aiofiles-23.2.1-py3-none-any.whl (15 kB)
  323. Using cached anyio-4.6.2.post1-py3-none-any.whl (90 kB)
  324. Using cached fastapi-0.115.4-py3-none-any.whl (94 kB)
  325. Using cached httpx-0.27.2-py3-none-any.whl (76 kB)
  326. Using cached httpcore-1.0.6-py3-none-any.whl (78 kB)
  327. Using cached MarkupSafe-2.1.5-cp310-cp310-win_amd64.whl (17 kB)
  328. Downloading orjson-3.10.11-cp310-none-win_amd64.whl (136 kB)
  329. Downloading psutil-5.9.8-cp37-abi3-win_amd64.whl (255 kB)
  330. Using cached pydantic-2.9.2-py3-none-any.whl (434 kB)
  331. Using cached pydantic_core-2.23.4-cp310-none-win_amd64.whl (1.9 MB)
  332. Downloading ruff-0.7.3-py3-none-win_amd64.whl (9.4 MB)
  333.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.4/9.4 MB 58.7 MB/s eta 0:00:00
  334. Using cached safehttpx-0.1.1-py3-none-any.whl (8.4 kB)
  335. Using cached semantic_version-2.10.0-py2.py3-none-any.whl (15 kB)
  336. Using cached starlette-0.41.2-py3-none-any.whl (73 kB)
  337. Using cached typer-0.13.0-py3-none-any.whl (44 kB)
  338. Using cached uvicorn-0.32.0-py3-none-any.whl (63 kB)
  339. Using cached ffmpy-0.4.0-py3-none-any.whl (5.8 kB)
  340. Using cached pydub-0.25.1-py2.py3-none-any.whl (32 kB)
  341. Using cached annotated_types-0.7.0-py3-none-any.whl (13 kB)
  342. Using cached click-8.1.7-py3-none-any.whl (97 kB)
  343. Using cached exceptiongroup-1.2.2-py3-none-any.whl (16 kB)
  344. Using cached h11-0.14.0-py3-none-any.whl (58 kB)
  345. Using cached rich-13.9.4-py3-none-any.whl (242 kB)
  346. Using cached shellingham-1.5.4-py2.py3-none-any.whl (9.8 kB)
  347. Using cached sniffio-1.3.1-py3-none-any.whl (10 kB)
  348. Using cached websockets-12.0-cp310-cp310-win_amd64.whl (124 kB)
  349. Using cached markdown_it_py-3.0.0-py3-none-any.whl (87 kB)
  350. Using cached pygments-2.18.0-py3-none-any.whl (1.2 MB)
  351. Using cached mdurl-0.1.2-py3-none-any.whl (10.0 kB)
  352. Installing collected packages: pydub, websockets, tomlkit, sniffio, shellingham, semantic-version, ruff, python-multipart, pygments, pydantic-core, psutil, orjson, mdurl, markupsafe, h11, ffmpy, exceptiongroup, click, annotated-types, aiofiles, uvicorn, pydantic, markdown-it-py, httpcore, anyio, starlette, rich, httpx, typer, safehttpx, gradio-client, fastapi, gradio, spaces
  353.   Attempting uninstall: psutil
  354.     Found existing installation: psutil 6.1.0
  355.     Uninstalling psutil-6.1.0:
  356.       Successfully uninstalled psutil-6.1.0
  357.   Attempting uninstall: markupsafe
  358.     Found existing installation: MarkupSafe 3.0.2
  359.     Uninstalling MarkupSafe-3.0.2:
  360.       Successfully uninstalled MarkupSafe-3.0.2
  361. Successfully installed aiofiles-23.2.1 annotated-types-0.7.0 anyio-4.6.2.post1 click-8.1.7 exceptiongroup-1.2.2 fastapi-0.115.4 ffmpy-0.4.0 gradio-5.5.0 gradio-client-1.4.2 h11-0.14.0 httpcore-1.0.6 httpx-0.27.2 markdown-it-py-3.0.0 markupsafe-2.1.5 mdurl-0.1.2 orjson-3.10.11 psutil-5.9.8 pydantic-2.9.2 pydantic-core-2.23.4 pydub-0.25.1 pygments-2.18.0 python-multipart-0.0.12 rich-13.9.4 ruff-0.7.3 safehttpx-0.1.1 semantic-version-2.10.0 shellingham-1.5.4 sniffio-1.3.1 spaces-0.30.4 starlette-0.41.2 tomlkit-0.12.0 typer-0.13.0 uvicorn-0.32.0 websockets-12.0
  362.  
  363. (env) C:\!Sd\OmniGen>pip install -r requirements.txt
  364. Requirement already satisfied: torch==2.3.1 in c:\!sd\omnigen\env\lib\site-packages (from -r requirements.txt (line 1)) (2.3.1+cu118)
  365. Collecting transformers==4.45.2 (from -r requirements.txt (line 2))
  366.   Downloading transformers-4.45.2-py3-none-any.whl.metadata (44 kB)
  367. Collecting datasets==2.20.0 (from -r requirements.txt (line 3))
  368.   Downloading datasets-2.20.0-py3-none-any.whl.metadata (19 kB)
  369. Collecting accelerate==0.26.1 (from -r requirements.txt (line 4))
  370.   Downloading accelerate-0.26.1-py3-none-any.whl.metadata (18 kB)
  371. Collecting jupyter==1.0.0 (from -r requirements.txt (line 5))
  372.   Downloading jupyter-1.0.0-py2.py3-none-any.whl.metadata (995 bytes)
  373. Collecting numpy==1.26.3 (from -r requirements.txt (line 6))
  374.   Downloading numpy-1.26.3-cp310-cp310-win_amd64.whl.metadata (61 kB)
  375. Collecting pillow==10.2.0 (from -r requirements.txt (line 7))
  376.   Downloading pillow-10.2.0-cp310-cp310-win_amd64.whl.metadata (9.9 kB)
  377. Requirement already satisfied: peft==0.13.2 in c:\!sd\omnigen\env\lib\site-packages (from -r requirements.txt (line 8)) (0.13.2)
  378. Collecting diffusers==0.30.3 (from -r requirements.txt (line 9))
  379.   Downloading diffusers-0.30.3-py3-none-any.whl.metadata (18 kB)
  380. Collecting timm==0.9.16 (from -r requirements.txt (line 10))
  381.   Downloading timm-0.9.16-py3-none-any.whl.metadata (38 kB)
  382. Requirement already satisfied: filelock in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1->-r requirements.txt (line 1)) (3.16.1)
  383. Requirement already satisfied: typing-extensions>=4.8.0 in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1->-r requirements.txt (line 1)) (4.12.2)
  384. Requirement already satisfied: sympy in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1->-r requirements.txt (line 1)) (1.13.3)
  385. Requirement already satisfied: networkx in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1->-r requirements.txt (line 1)) (3.4.2)
  386. Requirement already satisfied: jinja2 in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1->-r requirements.txt (line 1)) (3.1.4)
  387. Requirement already satisfied: fsspec in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1->-r requirements.txt (line 1)) (2024.9.0)
  388. Requirement already satisfied: mkl<=2021.4.0,>=2021.1.1 in c:\!sd\omnigen\env\lib\site-packages (from torch==2.3.1->-r requirements.txt (line 1)) (2021.4.0)
  389. Requirement already satisfied: huggingface-hub<1.0,>=0.23.2 in c:\!sd\omnigen\env\lib\site-packages (from transformers==4.45.2->-r requirements.txt (line 2)) (0.26.2)
  390. Requirement already satisfied: packaging>=20.0 in c:\!sd\omnigen\env\lib\site-packages (from transformers==4.45.2->-r requirements.txt (line 2)) (24.2)
  391. Requirement already satisfied: pyyaml>=5.1 in c:\!sd\omnigen\env\lib\site-packages (from transformers==4.45.2->-r requirements.txt (line 2)) (6.0.2)
  392. Requirement already satisfied: regex!=2019.12.17 in c:\!sd\omnigen\env\lib\site-packages (from transformers==4.45.2->-r requirements.txt (line 2)) (2024.11.6)
  393. Requirement already satisfied: requests in c:\!sd\omnigen\env\lib\site-packages (from transformers==4.45.2->-r requirements.txt (line 2)) (2.32.3)
  394. Requirement already satisfied: safetensors>=0.4.1 in c:\!sd\omnigen\env\lib\site-packages (from transformers==4.45.2->-r requirements.txt (line 2)) (0.4.5)
  395. Requirement already satisfied: tokenizers<0.21,>=0.20 in c:\!sd\omnigen\env\lib\site-packages (from transformers==4.45.2->-r requirements.txt (line 2)) (0.20.3)
  396. Requirement already satisfied: tqdm>=4.27 in c:\!sd\omnigen\env\lib\site-packages (from transformers==4.45.2->-r requirements.txt (line 2)) (4.67.0)
  397. Requirement already satisfied: pyarrow>=15.0.0 in c:\!sd\omnigen\env\lib\site-packages (from datasets==2.20.0->-r requirements.txt (line 3)) (18.0.0)
  398. Collecting pyarrow-hotfix (from datasets==2.20.0->-r requirements.txt (line 3))
  399.   Downloading pyarrow_hotfix-0.6-py3-none-any.whl.metadata (3.6 kB)
  400. Requirement already satisfied: dill<0.3.9,>=0.3.0 in c:\!sd\omnigen\env\lib\site-packages (from datasets==2.20.0->-r requirements.txt (line 3)) (0.3.8)
  401. Requirement already satisfied: pandas in c:\!sd\omnigen\env\lib\site-packages (from datasets==2.20.0->-r requirements.txt (line 3)) (2.2.3)
  402. Requirement already satisfied: xxhash in c:\!sd\omnigen\env\lib\site-packages (from datasets==2.20.0->-r requirements.txt (line 3)) (3.5.0)
  403. Requirement already satisfied: multiprocess in c:\!sd\omnigen\env\lib\site-packages (from datasets==2.20.0->-r requirements.txt (line 3)) (0.70.16)
  404. Collecting fsspec (from torch==2.3.1->-r requirements.txt (line 1))
  405.   Downloading fsspec-2024.5.0-py3-none-any.whl.metadata (11 kB)
  406. Requirement already satisfied: aiohttp in c:\!sd\omnigen\env\lib\site-packages (from datasets==2.20.0->-r requirements.txt (line 3)) (3.10.10)
  407. Requirement already satisfied: psutil in c:\!sd\omnigen\env\lib\site-packages (from accelerate==0.26.1->-r requirements.txt (line 4)) (5.9.8)
  408. Collecting notebook (from jupyter==1.0.0->-r requirements.txt (line 5))
  409.   Downloading notebook-7.2.2-py3-none-any.whl.metadata (10 kB)
  410. Collecting qtconsole (from jupyter==1.0.0->-r requirements.txt (line 5))
  411.   Downloading qtconsole-5.6.1-py3-none-any.whl.metadata (5.0 kB)
  412. Collecting jupyter-console (from jupyter==1.0.0->-r requirements.txt (line 5))
  413.   Downloading jupyter_console-6.6.3-py3-none-any.whl.metadata (5.8 kB)
  414. Collecting nbconvert (from jupyter==1.0.0->-r requirements.txt (line 5))
  415.   Downloading nbconvert-7.16.4-py3-none-any.whl.metadata (8.5 kB)
  416. Collecting ipykernel (from jupyter==1.0.0->-r requirements.txt (line 5))
  417.   Downloading ipykernel-6.29.5-py3-none-any.whl.metadata (6.3 kB)
  418. Collecting ipywidgets (from jupyter==1.0.0->-r requirements.txt (line 5))
  419.   Downloading ipywidgets-8.1.5-py3-none-any.whl.metadata (2.3 kB)
  420. Requirement already satisfied: importlib-metadata in c:\!sd\omnigen\env\lib\site-packages (from diffusers==0.30.3->-r requirements.txt (line 9)) (8.5.0)
  421. Requirement already satisfied: torchvision in c:\!sd\omnigen\env\lib\site-packages (from timm==0.9.16->-r requirements.txt (line 10)) (0.18.1+cu118)
  422. Requirement already satisfied: aiohappyeyeballs>=2.3.0 in c:\!sd\omnigen\env\lib\site-packages (from aiohttp->datasets==2.20.0->-r requirements.txt (line 3)) (2.4.3)
  423. Requirement already satisfied: aiosignal>=1.1.2 in c:\!sd\omnigen\env\lib\site-packages (from aiohttp->datasets==2.20.0->-r requirements.txt (line 3)) (1.3.1)
  424. Requirement already satisfied: attrs>=17.3.0 in c:\!sd\omnigen\env\lib\site-packages (from aiohttp->datasets==2.20.0->-r requirements.txt (line 3)) (24.2.0)
  425. Requirement already satisfied: frozenlist>=1.1.1 in c:\!sd\omnigen\env\lib\site-packages (from aiohttp->datasets==2.20.0->-r requirements.txt (line 3)) (1.5.0)
  426. Requirement already satisfied: multidict<7.0,>=4.5 in c:\!sd\omnigen\env\lib\site-packages (from aiohttp->datasets==2.20.0->-r requirements.txt (line3)) (6.1.0)
  427. Requirement already satisfied: yarl<2.0,>=1.12.0 in c:\!sd\omnigen\env\lib\site-packages (from aiohttp->datasets==2.20.0->-r requirements.txt (line 3)) (1.17.1)
  428. Requirement already satisfied: async-timeout<5.0,>=4.0 in c:\!sd\omnigen\env\lib\site-packages (from aiohttp->datasets==2.20.0->-r requirements.txt (line 3)) (4.0.3)
  429. Requirement already satisfied: intel-openmp==2021.* in c:\!sd\omnigen\env\lib\site-packages (from mkl<=2021.4.0,>=2021.1.1->torch==2.3.1->-r requirements.txt (line 1)) (2021.4.0)
  430. Requirement already satisfied: tbb==2021.* in c:\!sd\omnigen\env\lib\site-packages (from mkl<=2021.4.0,>=2021.1.1->torch==2.3.1->-r requirements.txt (line 1)) (2021.13.1)
  431. Requirement already satisfied: charset-normalizer<4,>=2 in c:\!sd\omnigen\env\lib\site-packages (from requests->transformers==4.45.2->-r requirements.txt (line 2)) (3.4.0)
  432. Requirement already satisfied: idna<4,>=2.5 in c:\!sd\omnigen\env\lib\site-packages (from requests->transformers==4.45.2->-r requirements.txt (line 2)) (3.10)
  433. Requirement already satisfied: urllib3<3,>=1.21.1 in c:\!sd\omnigen\env\lib\site-packages (from requests->transformers==4.45.2->-r requirements.txt (line 2)) (2.2.3)
  434. Requirement already satisfied: certifi>=2017.4.17 in c:\!sd\omnigen\env\lib\site-packages (from requests->transformers==4.45.2->-r requirements.txt (line 2)) (2024.8.30)
  435. Requirement already satisfied: colorama in c:\!sd\omnigen\env\lib\site-packages (from tqdm>=4.27->transformers==4.45.2->-r requirements.txt (line 2))(0.4.6)
  436. Requirement already satisfied: zipp>=3.20 in c:\!sd\omnigen\env\lib\site-packages (from importlib-metadata->diffusers==0.30.3->-r requirements.txt (line 9)) (3.20.2)
  437. Collecting comm>=0.1.1 (from ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  438.   Downloading comm-0.2.2-py3-none-any.whl.metadata (3.7 kB)
  439. Collecting debugpy>=1.6.5 (from ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  440.   Downloading debugpy-1.8.8-cp310-cp310-win_amd64.whl.metadata (1.1 kB)
  441. Collecting ipython>=7.23.1 (from ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  442.   Downloading ipython-8.29.0-py3-none-any.whl.metadata (5.0 kB)
  443. Collecting jupyter-client>=6.1.12 (from ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  444.   Downloading jupyter_client-8.6.3-py3-none-any.whl.metadata (8.3 kB)
  445. Collecting jupyter-core!=5.0.*,>=4.12 (from ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  446.   Downloading jupyter_core-5.7.2-py3-none-any.whl.metadata (3.4 kB)
  447. Collecting matplotlib-inline>=0.1 (from ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  448.   Using cached matplotlib_inline-0.1.7-py3-none-any.whl.metadata (3.9 kB)
  449. Collecting nest-asyncio (from ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  450.   Downloading nest_asyncio-1.6.0-py3-none-any.whl.metadata (2.8 kB)
  451. Collecting pyzmq>=24 (from ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  452.   Downloading pyzmq-26.2.0-cp310-cp310-win_amd64.whl.metadata (6.2 kB)
  453. Collecting tornado>=6.1 (from ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  454.   Using cached tornado-6.4.1-cp38-abi3-win_amd64.whl.metadata (2.6 kB)
  455. Collecting traitlets>=5.4.0 (from ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  456.   Using cached traitlets-5.14.3-py3-none-any.whl.metadata (10 kB)
  457. Collecting widgetsnbextension~=4.0.12 (from ipywidgets->jupyter==1.0.0->-r requirements.txt (line 5))
  458.   Downloading widgetsnbextension-4.0.13-py3-none-any.whl.metadata (1.6 kB)
  459. Collecting jupyterlab-widgets~=3.0.12 (from ipywidgets->jupyter==1.0.0->-r requirements.txt (line 5))
  460.   Downloading jupyterlab_widgets-3.0.13-py3-none-any.whl.metadata (4.1 kB)
  461. Requirement already satisfied: MarkupSafe>=2.0 in c:\!sd\omnigen\env\lib\site-packages (from jinja2->torch==2.3.1->-r requirements.txt (line 1)) (2.1.5)
  462. Collecting prompt-toolkit>=3.0.30 (from jupyter-console->jupyter==1.0.0->-r requirements.txt (line 5))
  463.   Downloading prompt_toolkit-3.0.48-py3-none-any.whl.metadata (6.4 kB)
  464. Requirement already satisfied: pygments in c:\!sd\omnigen\env\lib\site-packages (from jupyter-console->jupyter==1.0.0->-r requirements.txt (line 5)) (2.18.0)
  465. Collecting beautifulsoup4 (from nbconvert->jupyter==1.0.0->-r requirements.txt (line 5))
  466.   Using cached beautifulsoup4-4.12.3-py3-none-any.whl.metadata (3.8 kB)
  467. Collecting bleach!=5.0.0 (from nbconvert->jupyter==1.0.0->-r requirements.txt (line 5))
  468.   Downloading bleach-6.2.0-py3-none-any.whl.metadata (30 kB)
  469. Collecting defusedxml (from nbconvert->jupyter==1.0.0->-r requirements.txt (line 5))
  470.   Downloading defusedxml-0.7.1-py2.py3-none-any.whl.metadata (32 kB)
  471. Collecting jupyterlab-pygments (from nbconvert->jupyter==1.0.0->-r requirements.txt (line 5))
  472.   Downloading jupyterlab_pygments-0.3.0-py3-none-any.whl.metadata (4.4 kB)
  473. Collecting mistune<4,>=2.0.3 (from nbconvert->jupyter==1.0.0->-r requirements.txt (line 5))
  474.   Downloading mistune-3.0.2-py3-none-any.whl.metadata (1.7 kB)
  475. Collecting nbclient>=0.5.0 (from nbconvert->jupyter==1.0.0->-r requirements.txt (line 5))
  476.   Downloading nbclient-0.10.0-py3-none-any.whl.metadata (7.8 kB)
  477. Collecting nbformat>=5.7 (from nbconvert->jupyter==1.0.0->-r requirements.txt (line 5))
  478.   Downloading nbformat-5.10.4-py3-none-any.whl.metadata (3.6 kB)
  479. Collecting pandocfilters>=1.4.1 (from nbconvert->jupyter==1.0.0->-r requirements.txt (line 5))
  480.   Downloading pandocfilters-1.5.1-py2.py3-none-any.whl.metadata (9.0 kB)
  481. Collecting tinycss2 (from nbconvert->jupyter==1.0.0->-r requirements.txt (line 5))
  482.   Using cached tinycss2-1.4.0-py3-none-any.whl.metadata (3.0 kB)
  483. Collecting jupyter-server<3,>=2.4.0 (from notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  484.   Downloading jupyter_server-2.14.2-py3-none-any.whl.metadata (8.4 kB)
  485. Collecting jupyterlab-server<3,>=2.27.1 (from notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  486.   Downloading jupyterlab_server-2.27.3-py3-none-any.whl.metadata (5.9 kB)
  487. Collecting jupyterlab<4.3,>=4.2.0 (from notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  488.   Downloading jupyterlab-4.2.5-py3-none-any.whl.metadata (16 kB)
  489. Collecting notebook-shim<0.3,>=0.2 (from notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  490.   Downloading notebook_shim-0.2.4-py3-none-any.whl.metadata (4.0 kB)
  491. Requirement already satisfied: python-dateutil>=2.8.2 in c:\!sd\omnigen\env\lib\site-packages (from pandas->datasets==2.20.0->-r requirements.txt (line 3)) (2.9.0.post0)
  492. Requirement already satisfied: pytz>=2020.1 in c:\!sd\omnigen\env\lib\site-packages (from pandas->datasets==2.20.0->-r requirements.txt (line 3)) (2024.2)
  493. Requirement already satisfied: tzdata>=2022.7 in c:\!sd\omnigen\env\lib\site-packages (from pandas->datasets==2.20.0->-r requirements.txt (line 3)) (2024.2)
  494. Collecting qtpy>=2.4.0 (from qtconsole->jupyter==1.0.0->-r requirements.txt (line 5))
  495.   Downloading QtPy-2.4.2-py3-none-any.whl.metadata (12 kB)
  496. Requirement already satisfied: mpmath<1.4,>=1.1.0 in c:\!sd\omnigen\env\lib\site-packages (from sympy->torch==2.3.1->-r requirements.txt (line 1)) (1.3.0)
  497. Collecting webencodings (from bleach!=5.0.0->nbconvert->jupyter==1.0.0->-r requirements.txt (line 5))
  498.   Using cached webencodings-0.5.1-py2.py3-none-any.whl.metadata (2.1 kB)
  499. Collecting decorator (from ipython>=7.23.1->ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  500.   Using cached decorator-5.1.1-py3-none-any.whl.metadata (4.0 kB)
  501. Collecting jedi>=0.16 (from ipython>=7.23.1->ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  502.   Downloading jedi-0.19.1-py2.py3-none-any.whl.metadata (22 kB)
  503. Collecting stack-data (from ipython>=7.23.1->ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  504.   Downloading stack_data-0.6.3-py3-none-any.whl.metadata (18 kB)
  505. Requirement already satisfied: exceptiongroup in c:\!sd\omnigen\env\lib\site-packages (from ipython>=7.23.1->ipykernel->jupyter==1.0.0->-r requirements.txt (line 5)) (1.2.2)
  506. Collecting platformdirs>=2.5 (from jupyter-core!=5.0.*,>=4.12->ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  507.   Using cached platformdirs-4.3.6-py3-none-any.whl.metadata (11 kB)
  508. Collecting pywin32>=300 (from jupyter-core!=5.0.*,>=4.12->ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  509.   Using cached pywin32-308-cp310-cp310-win_amd64.whl.metadata (8.3 kB)
  510. Requirement already satisfied: anyio>=3.1.0 in c:\!sd\omnigen\env\lib\site-packages (from jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5)) (4.6.2.post1)
  511. Collecting argon2-cffi>=21.1 (from jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  512.   Downloading argon2_cffi-23.1.0-py3-none-any.whl.metadata (5.2 kB)
  513. Collecting jupyter-events>=0.9.0 (from jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  514.   Downloading jupyter_events-0.10.0-py3-none-any.whl.metadata (5.9 kB)
  515. Collecting jupyter-server-terminals>=0.4.4 (from jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  516.   Downloading jupyter_server_terminals-0.5.3-py3-none-any.whl.metadata (5.6 kB)
  517. Collecting overrides>=5.0 (from jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  518.   Downloading overrides-7.7.0-py3-none-any.whl.metadata (5.8 kB)
  519. Collecting prometheus-client>=0.9 (from jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  520.   Downloading prometheus_client-0.21.0-py3-none-any.whl.metadata (1.8 kB)
  521. Collecting pywinpty>=2.0.1 (from jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  522.   Downloading pywinpty-2.0.14-cp310-none-win_amd64.whl.metadata (5.2 kB)
  523. Collecting send2trash>=1.8.2 (from jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  524.   Using cached Send2Trash-1.8.3-py3-none-any.whl.metadata (4.0 kB)
  525. Collecting terminado>=0.8.3 (from jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  526.   Downloading terminado-0.18.1-py3-none-any.whl.metadata (5.8 kB)
  527. Collecting websocket-client>=1.7 (from jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  528.   Downloading websocket_client-1.8.0-py3-none-any.whl.metadata (8.0 kB)
  529. Collecting async-lru>=1.0.0 (from jupyterlab<4.3,>=4.2.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  530.   Downloading async_lru-2.0.4-py3-none-any.whl.metadata (4.5 kB)
  531. Requirement already satisfied: httpx>=0.25.0 in c:\!sd\omnigen\env\lib\site-packages (from jupyterlab<4.3,>=4.2.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5)) (0.27.2)
  532. Collecting jupyter-lsp>=2.0.0 (from jupyterlab<4.3,>=4.2.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  533.   Downloading jupyter_lsp-2.2.5-py3-none-any.whl.metadata (1.8 kB)
  534. Requirement already satisfied: setuptools>=40.1.0 in c:\!sd\omnigen\env\lib\site-packages (from jupyterlab<4.3,>=4.2.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5)) (65.5.0)
  535. Collecting tomli>=1.2.2 (from jupyterlab<4.3,>=4.2.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  536.   Using cached tomli-2.0.2-py3-none-any.whl.metadata (10.0 kB)
  537. Collecting babel>=2.10 (from jupyterlab-server<3,>=2.27.1->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  538.   Downloading babel-2.16.0-py3-none-any.whl.metadata (1.5 kB)
  539. Collecting json5>=0.9.0 (from jupyterlab-server<3,>=2.27.1->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  540.   Using cached json5-0.9.25-py3-none-any.whl.metadata (30 kB)
  541. Collecting jsonschema>=4.18.0 (from jupyterlab-server<3,>=2.27.1->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  542.   Using cached jsonschema-4.23.0-py3-none-any.whl.metadata (7.9 kB)
  543. Collecting fastjsonschema>=2.15 (from nbformat>=5.7->nbconvert->jupyter==1.0.0->-r requirements.txt (line 5))
  544.   Downloading fastjsonschema-2.20.0-py3-none-any.whl.metadata (2.1 kB)
  545. Collecting wcwidth (from prompt-toolkit>=3.0.30->jupyter-console->jupyter==1.0.0->-r requirements.txt (line 5))
  546.   Using cached wcwidth-0.2.13-py2.py3-none-any.whl.metadata (14 kB)
  547. Requirement already satisfied: six>=1.5 in c:\!sd\omnigen\env\lib\site-packages (from python-dateutil>=2.8.2->pandas->datasets==2.20.0->-r requirements.txt (line 3)) (1.16.0)
  548. Requirement already satisfied: propcache>=0.2.0 in c:\!sd\omnigen\env\lib\site-packages (from yarl<2.0,>=1.12.0->aiohttp->datasets==2.20.0->-r requirements.txt (line 3)) (0.2.0)
  549. Collecting soupsieve>1.2 (from beautifulsoup4->nbconvert->jupyter==1.0.0->-r requirements.txt (line 5))
  550.   Using cached soupsieve-2.6-py3-none-any.whl.metadata (4.6 kB)
  551. Requirement already satisfied: sniffio>=1.1 in c:\!sd\omnigen\env\lib\site-packages (from anyio>=3.1.0->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5)) (1.3.1)
  552. Collecting argon2-cffi-bindings (from argon2-cffi>=21.1->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  553.   Downloading argon2_cffi_bindings-21.2.0-cp36-abi3-win_amd64.whl.metadata (6.7 kB)
  554. Requirement already satisfied: httpcore==1.* in c:\!sd\omnigen\env\lib\site-packages (from httpx>=0.25.0->jupyterlab<4.3,>=4.2.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5)) (1.0.6)
  555. Requirement already satisfied: h11<0.15,>=0.13 in c:\!sd\omnigen\env\lib\site-packages (from httpcore==1.*->httpx>=0.25.0->jupyterlab<4.3,>=4.2.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5)) (0.14.0)
  556. Collecting parso<0.9.0,>=0.8.3 (from jedi>=0.16->ipython>=7.23.1->ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  557.   Downloading parso-0.8.4-py2.py3-none-any.whl.metadata (7.7 kB)
  558. Collecting jsonschema-specifications>=2023.03.6 (from jsonschema>=4.18.0->jupyterlab-server<3,>=2.27.1->notebook->jupyter==1.0.0->-r requirements.txt(line 5))
  559.   Using cached jsonschema_specifications-2024.10.1-py3-none-any.whl.metadata (3.0 kB)
  560. Collecting referencing>=0.28.4 (from jsonschema>=4.18.0->jupyterlab-server<3,>=2.27.1->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  561.   Using cached referencing-0.35.1-py3-none-any.whl.metadata (2.8 kB)
  562. Collecting rpds-py>=0.7.1 (from jsonschema>=4.18.0->jupyterlab-server<3,>=2.27.1->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  563.   Downloading rpds_py-0.21.0-cp310-none-win_amd64.whl.metadata (4.2 kB)
  564. Collecting python-json-logger>=2.0.4 (from jupyter-events>=0.9.0->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  565.   Downloading python_json_logger-2.0.7-py3-none-any.whl.metadata (6.5 kB)
  566. Collecting rfc3339-validator (from jupyter-events>=0.9.0->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  567.   Downloading rfc3339_validator-0.1.4-py2.py3-none-any.whl.metadata (1.5 kB)
  568. Collecting rfc3986-validator>=0.1.1 (from jupyter-events>=0.9.0->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  569.   Downloading rfc3986_validator-0.1.1-py2.py3-none-any.whl.metadata (1.7 kB)
  570. Collecting executing>=1.2.0 (from stack-data->ipython>=7.23.1->ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  571.   Downloading executing-2.1.0-py2.py3-none-any.whl.metadata (8.9 kB)
  572. Collecting asttokens>=2.1.0 (from stack-data->ipython>=7.23.1->ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  573.   Downloading asttokens-2.4.1-py2.py3-none-any.whl.metadata (5.2 kB)
  574. Collecting pure-eval (from stack-data->ipython>=7.23.1->ipykernel->jupyter==1.0.0->-r requirements.txt (line 5))
  575.   Downloading pure_eval-0.2.3-py3-none-any.whl.metadata (6.3 kB)
  576. Collecting fqdn (from jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.9.0->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  577.   Downloading fqdn-1.5.1-py3-none-any.whl.metadata (1.4 kB)
  578. Collecting isoduration (from jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.9.0->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  579.   Downloading isoduration-20.11.0-py3-none-any.whl.metadata (5.7 kB)
  580. Collecting jsonpointer>1.13 (from jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.9.0->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  581.   Downloading jsonpointer-3.0.0-py2.py3-none-any.whl.metadata (2.3 kB)
  582. Collecting uri-template (from jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.9.0->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  583.   Downloading uri_template-1.3.0-py3-none-any.whl.metadata (8.8 kB)
  584. Collecting webcolors>=24.6.0 (from jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.9.0->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  585.   Using cached webcolors-24.8.0-py3-none-any.whl.metadata (2.6 kB)
  586. Collecting cffi>=1.0.1 (from argon2-cffi-bindings->argon2-cffi>=21.1->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  587.   Using cached cffi-1.17.1-cp310-cp310-win_amd64.whl.metadata (1.6 kB)
  588. Collecting pycparser (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi>=21.1->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  589.   Using cached pycparser-2.22-py3-none-any.whl.metadata (943 bytes)
  590. Collecting arrow>=0.15.0 (from isoduration->jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.9.0->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  591.   Using cached arrow-1.3.0-py3-none-any.whl.metadata (7.5 kB)
  592. Collecting types-python-dateutil>=2.8.10 (from arrow>=0.15.0->isoduration->jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.9.0->jupyter-server<3,>=2.4.0->notebook->jupyter==1.0.0->-r requirements.txt (line 5))
  593.   Using cached types_python_dateutil-2.9.0.20241003-py3-none-any.whl.metadata (1.9 kB)
  594. Downloading transformers-4.45.2-py3-none-any.whl (9.9 MB)
  595.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.9/9.9 MB 41.1 MB/s eta 0:00:00
  596. Downloading datasets-2.20.0-py3-none-any.whl (547 kB)
  597.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 547.8/547.8 kB 19.0 MB/s eta 0:00:00
  598. Downloading accelerate-0.26.1-py3-none-any.whl (270 kB)
  599. Downloading jupyter-1.0.0-py2.py3-none-any.whl (2.7 kB)
  600. Downloading numpy-1.26.3-cp310-cp310-win_amd64.whl (15.8 MB)
  601.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.8/15.8 MB 41.5 MB/s eta 0:00:00
  602. Downloading pillow-10.2.0-cp310-cp310-win_amd64.whl (2.6 MB)
  603.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.6/2.6 MB 50.2 MB/s eta 0:00:00
  604. Downloading diffusers-0.30.3-py3-none-any.whl (2.7 MB)
  605.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.7/2.7 MB 38.0 MB/s eta 0:00:00
  606. Downloading timm-0.9.16-py3-none-any.whl (2.2 MB)
  607.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.2/2.2 MB 64.1 MB/s eta 0:00:00
  608. Downloading fsspec-2024.5.0-py3-none-any.whl (316 kB)
  609. Downloading ipykernel-6.29.5-py3-none-any.whl (117 kB)
  610. Downloading ipywidgets-8.1.5-py3-none-any.whl (139 kB)
  611. Downloading jupyter_console-6.6.3-py3-none-any.whl (24 kB)
  612. Downloading nbconvert-7.16.4-py3-none-any.whl (257 kB)
  613. Downloading notebook-7.2.2-py3-none-any.whl (5.0 MB)
  614.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.0/5.0 MB 61.2 MB/s eta 0:00:00
  615. Downloading pyarrow_hotfix-0.6-py3-none-any.whl (7.9 kB)
  616. Downloading qtconsole-5.6.1-py3-none-any.whl (125 kB)
  617. Downloading bleach-6.2.0-py3-none-any.whl (163 kB)
  618. Downloading comm-0.2.2-py3-none-any.whl (7.2 kB)
  619. Downloading debugpy-1.8.8-cp310-cp310-win_amd64.whl (5.2 MB)
  620.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.2/5.2 MB 62.8 MB/s eta 0:00:00
  621. Downloading ipython-8.29.0-py3-none-any.whl (819 kB)
  622.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 819.9/819.9 kB 34.9 MB/s eta 0:00:00
  623. Downloading jupyter_client-8.6.3-py3-none-any.whl (106 kB)
  624. Downloading jupyter_core-5.7.2-py3-none-any.whl (28 kB)
  625. Downloading jupyter_server-2.14.2-py3-none-any.whl (383 kB)
  626. Downloading jupyterlab-4.2.5-py3-none-any.whl (11.6 MB)
  627.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.6/11.6 MB 66.2 MB/s eta 0:00:00
  628. Downloading jupyterlab_server-2.27.3-py3-none-any.whl (59 kB)
  629. Downloading jupyterlab_widgets-3.0.13-py3-none-any.whl (214 kB)
  630. Using cached matplotlib_inline-0.1.7-py3-none-any.whl (9.9 kB)
  631. Downloading mistune-3.0.2-py3-none-any.whl (47 kB)
  632. Downloading nbclient-0.10.0-py3-none-any.whl (25 kB)
  633. Downloading nbformat-5.10.4-py3-none-any.whl (78 kB)
  634. Downloading notebook_shim-0.2.4-py3-none-any.whl (13 kB)
  635. Downloading pandocfilters-1.5.1-py2.py3-none-any.whl (8.7 kB)
  636. Downloading prompt_toolkit-3.0.48-py3-none-any.whl (386 kB)
  637. Downloading pyzmq-26.2.0-cp310-cp310-win_amd64.whl (641 kB)
  638.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 641.6/641.6 kB ? eta 0:00:00
  639. Downloading QtPy-2.4.2-py3-none-any.whl (95 kB)
  640. Using cached tornado-6.4.1-cp38-abi3-win_amd64.whl (438 kB)
  641. Using cached traitlets-5.14.3-py3-none-any.whl (85 kB)
  642. Downloading widgetsnbextension-4.0.13-py3-none-any.whl (2.3 MB)
  643.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.3/2.3 MB 44.1 MB/s eta 0:00:00
  644. Using cached beautifulsoup4-4.12.3-py3-none-any.whl (147 kB)
  645. Downloading defusedxml-0.7.1-py2.py3-none-any.whl (25 kB)
  646. Downloading jupyterlab_pygments-0.3.0-py3-none-any.whl (15 kB)
  647. Downloading nest_asyncio-1.6.0-py3-none-any.whl (5.2 kB)
  648. Using cached tinycss2-1.4.0-py3-none-any.whl (26 kB)
  649. Downloading argon2_cffi-23.1.0-py3-none-any.whl (15 kB)
  650. Downloading async_lru-2.0.4-py3-none-any.whl (6.1 kB)
  651. Downloading babel-2.16.0-py3-none-any.whl (9.6 MB)
  652.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.6/9.6 MB 66.6 MB/s eta 0:00:00
  653. Downloading fastjsonschema-2.20.0-py3-none-any.whl (23 kB)
  654. Downloading jedi-0.19.1-py2.py3-none-any.whl (1.6 MB)
  655.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 42.2 MB/s eta 0:00:00
  656. Using cached json5-0.9.25-py3-none-any.whl (30 kB)
  657. Using cached jsonschema-4.23.0-py3-none-any.whl (88 kB)
  658. Downloading jupyter_events-0.10.0-py3-none-any.whl (18 kB)
  659. Downloading jupyter_lsp-2.2.5-py3-none-any.whl (69 kB)
  660. Downloading jupyter_server_terminals-0.5.3-py3-none-any.whl (13 kB)
  661. Downloading overrides-7.7.0-py3-none-any.whl (17 kB)
  662. Using cached platformdirs-4.3.6-py3-none-any.whl (18 kB)
  663. Downloading prometheus_client-0.21.0-py3-none-any.whl (54 kB)
  664. Using cached pywin32-308-cp310-cp310-win_amd64.whl (6.6 MB)
  665. Downloading pywinpty-2.0.14-cp310-none-win_amd64.whl (1.4 MB)
  666.    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.4/1.4 MB 36.6 MB/s eta 0:00:00
  667. Using cached Send2Trash-1.8.3-py3-none-any.whl (18 kB)
  668. Using cached soupsieve-2.6-py3-none-any.whl (36 kB)
  669. Downloading terminado-0.18.1-py3-none-any.whl (14 kB)
  670. Using cached tomli-2.0.2-py3-none-any.whl (13 kB)
  671. Using cached webencodings-0.5.1-py2.py3-none-any.whl (11 kB)
  672. Downloading websocket_client-1.8.0-py3-none-any.whl (58 kB)
  673. Using cached decorator-5.1.1-py3-none-any.whl (9.1 kB)
  674. Downloading stack_data-0.6.3-py3-none-any.whl (24 kB)
  675. Using cached wcwidth-0.2.13-py2.py3-none-any.whl (34 kB)
  676. Downloading asttokens-2.4.1-py2.py3-none-any.whl (27 kB)
  677. Downloading executing-2.1.0-py2.py3-none-any.whl (25 kB)
  678. Using cached jsonschema_specifications-2024.10.1-py3-none-any.whl (18 kB)
  679. Downloading parso-0.8.4-py2.py3-none-any.whl (103 kB)
  680. Downloading python_json_logger-2.0.7-py3-none-any.whl (8.1 kB)
  681. Using cached referencing-0.35.1-py3-none-any.whl (26 kB)
  682. Downloading rfc3986_validator-0.1.1-py2.py3-none-any.whl (4.2 kB)
  683. Downloading rpds_py-0.21.0-cp310-none-win_amd64.whl (218 kB)
  684. Downloading argon2_cffi_bindings-21.2.0-cp36-abi3-win_amd64.whl (30 kB)
  685. Downloading pure_eval-0.2.3-py3-none-any.whl (11 kB)
  686. Downloading rfc3339_validator-0.1.4-py2.py3-none-any.whl (3.5 kB)
  687. Using cached cffi-1.17.1-cp310-cp310-win_amd64.whl (181 kB)
  688. Downloading jsonpointer-3.0.0-py2.py3-none-any.whl (7.6 kB)
  689. Using cached webcolors-24.8.0-py3-none-any.whl (15 kB)
  690. Downloading fqdn-1.5.1-py3-none-any.whl (9.1 kB)
  691. Downloading isoduration-20.11.0-py3-none-any.whl (11 kB)
  692. Downloading uri_template-1.3.0-py3-none-any.whl (11 kB)
  693. Using cached arrow-1.3.0-py3-none-any.whl (66 kB)
  694. Using cached pycparser-2.22-py3-none-any.whl (117 kB)
  695. Using cached types_python_dateutil-2.9.0.20241003-py3-none-any.whl (9.7 kB)
  696. Installing collected packages: webencodings, wcwidth, pywin32, pure-eval, fastjsonschema, widgetsnbextension, websocket-client, webcolors, uri-template, types-python-dateutil, traitlets, tornado, tomli, tinycss2, soupsieve, send2trash, rpds-py, rfc3986-validator, rfc3339-validator, qtpy, pyzmq, pywinpty, python-json-logger, pycparser, pyarrow-hotfix, prompt-toolkit, prometheus-client, platformdirs, pillow, parso, pandocfilters, overrides, numpy,nest-asyncio, mistune, jupyterlab-widgets, jupyterlab-pygments, jsonpointer, json5, fsspec, fqdn, executing, defusedxml, decorator, debugpy, bleach, babel, async-lru, asttokens, terminado, stack-data, referencing, matplotlib-inline, jupyter-core, jedi, comm, cffi, beautifulsoup4, arrow, jupyter-server-terminals, jupyter-client, jsonschema-specifications, isoduration, ipython, diffusers, argon2-cffi-bindings, accelerate, transformers, timm, jsonschema, ipywidgets, ipykernel, argon2-cffi, qtconsole, nbformat, jupyter-console, datasets, nbclient, jupyter-events, nbconvert, jupyter-server, notebook-shim, jupyterlab-server, jupyter-lsp, jupyterlab, notebook, jupyter
  697.   Attempting uninstall: pillow
  698.     Found existing installation: pillow 11.0.0
  699.     Uninstalling pillow-11.0.0:
  700.       Successfully uninstalled pillow-11.0.0
  701.   Attempting uninstall: numpy
  702.     Found existing installation: numpy 2.1.3
  703.     Uninstalling numpy-2.1.3:
  704.       Successfully uninstalled numpy-2.1.3
  705.   Attempting uninstall: fsspec
  706.     Found existing installation: fsspec 2024.9.0
  707.     Uninstalling fsspec-2024.9.0:
  708.       Successfully uninstalled fsspec-2024.9.0
  709.   Attempting uninstall: diffusers
  710.     Found existing installation: diffusers 0.31.0
  711.     Uninstalling diffusers-0.31.0:
  712.       Successfully uninstalled diffusers-0.31.0
  713.   Attempting uninstall: accelerate
  714.     Found existing installation: accelerate 1.1.1
  715.     Uninstalling accelerate-1.1.1:
  716.       Successfully uninstalled accelerate-1.1.1
  717.   Attempting uninstall: transformers
  718.     Found existing installation: transformers 4.46.2
  719.     Uninstalling transformers-4.46.2:
  720.       Successfully uninstalled transformers-4.46.2
  721.   Attempting uninstall: timm
  722.     Found existing installation: timm 1.0.11
  723.     Uninstalling timm-1.0.11:
  724.       Successfully uninstalled timm-1.0.11
  725.   Attempting uninstall: datasets
  726.     Found existing installation: datasets 3.1.0
  727.     Uninstalling datasets-3.1.0:
  728.       Successfully uninstalled datasets-3.1.0
  729. Successfully installed accelerate-0.26.1 argon2-cffi-23.1.0 argon2-cffi-bindings-21.2.0 arrow-1.3.0 asttokens-2.4.1 async-lru-2.0.4 babel-2.16.0 beautifulsoup4-4.12.3 bleach-6.2.0 cffi-1.17.1 comm-0.2.2 datasets-2.20.0 debugpy-1.8.8 decorator-5.1.1 defusedxml-0.7.1 diffusers-0.30.3 executing-2.1.0 fastjsonschema-2.20.0 fqdn-1.5.1 fsspec-2024.5.0 ipykernel-6.29.5 ipython-8.29.0 ipywidgets-8.1.5 isoduration-20.11.0 jedi-0.19.1 json5-0.9.25 jsonpointer-3.0.0 jsonschema-4.23.0 jsonschema-specifications-2024.10.1 jupyter-1.0.0 jupyter-client-8.6.3 jupyter-console-6.6.3 jupyter-core-5.7.2 jupyter-events-0.10.0 jupyter-lsp-2.2.5 jupyter-server-2.14.2 jupyter-server-terminals-0.5.3 jupyterlab-4.2.5 jupyterlab-pygments-0.3.0 jupyterlab-server-2.27.3 jupyterlab-widgets-3.0.13 matplotlib-inline-0.1.7 mistune-3.0.2 nbclient-0.10.0 nbconvert-7.16.4 nbformat-5.10.4 nest-asyncio-1.6.0 notebook-7.2.2 notebook-shim-0.2.4 numpy-1.26.3 overrides-7.7.0 pandocfilters-1.5.1 parso-0.8.4 pillow-10.2.0 platformdirs-4.3.6 prometheus-client-0.21.0 prompt-toolkit-3.0.48 pure-eval-0.2.3 pyarrow-hotfix-0.6 pycparser-2.22 python-json-logger-2.0.7 pywin32-308 pywinpty-2.0.14 pyzmq-26.2.0 qtconsole-5.6.1 qtpy-2.4.2 referencing-0.35.1 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rpds-py-0.21.0 send2trash-1.8.3 soupsieve-2.6 stack-data-0.6.3 terminado-0.18.1 timm-0.9.16 tinycss2-1.4.0 tomli-2.0.2 tornado-6.4.1 traitlets-5.14.3 transformers-4.45.2 types-python-dateutil-2.9.0.20241003 uri-template-1.3.0 wcwidth-0.2.13 webcolors-24.8.0 webencodings-0.5.1 websocket-client-1.8.0 widgetsnbextension-4.0.13
  730.  
  731. (env) C:\!Sd\OmniGen>python app.py
  732. .gitattributes: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████| 1.57k/1.57k [00:00<?, ?B/s]
  733. README.md: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████| 9.09k/9.09k [00:00<00:00, 9.14MB/s]
  734. special_tokens_map.json: 100%|█████████████████████████████████████████████████████████████████████████████████████████| 670/670 [00:00<00:00, 667kB/s]
  735. C:\!Sd\OmniGen\env\lib\site-packages\huggingface_hub\file_download.py:139: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\Users\damie\.cache\huggingface\hub\models--Shitao--OmniGen-v1. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.
  736. To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode,see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development
  737.   warnings.warn(message)
  738. Fetching 10 files:  10%|█████████▌                                                                                      | 1/10 [00:00<00:02,  4.41it/s]
  739. tokenizer_config.json: 100%|██████████████████████████████████████████████████████████████████████████████████████████████| 10.1k/10.1k [00:00<?, ?B/s]
  740. config.json: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████| 3.29k/3.29k [00:00<?, ?B/s]
  741. vae/config.json: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████| 607/607 [00:00<?, ?B/s]
  742. tokenizer.json: 100%|█████████████████████████████████████████████████████████████████████████████████████████████| 1.85M/1.85M [00:00<00:00, 11.2MB/s]
  743. demo_cases.png: 100%|█████████████████████████████████████████████████████████████████████████████████████████████| 3.42M/3.42M [00:00<00:00, 7.06MB/s]
  744. diffusion_pytorch_model.safetensors: 100%|██████████████████████████████████████████████████████████████████████████| 335M/335M [00:09<00:00, 36.4MB/s]
  745. model.safetensors:   2%|██                                                                                         | 346M/15.5G [00:09<07:12, 35.1MB/s]
  746. model.safetensors:  84%|███████████████████████████████████████████████████████████████████████████▎              | 13.0G/15.5G [05:09<00:59, 42.3MB/s
  747. model.safetensors:  84%|███████████████████████████████████████████████████████████████████████████▍              | 13.0G/15.5G [05:09<00:59, 42.4MB/s
  748. model.safetensors:  84%|███████████████████████████████████████████████████████████████████████████▍              | 13.0G/15.5G [05:10<00:59, 42.4MB/s
  749. model.safetensors:  84%|███████████████████████████████████████████████████████████████████████████▌              | 13.0G/15.5G [05:10<00:58, 42.2MB/s
  750. model.safetensors:  84%|███████████████████████████████████████████████████████████████████████████▌              | 13.0G/15.5G [05:10<00:58, 42.3MB/s
  751. model.safetensors:  84%|███████████████████████████████████████████████████████████████████████████▋              | 13.0G/15.5G [05:10<00:58, 42.3MB/s
  752. model.safetensors:  84%|███████████████████████████████████████████████████████████████████████████▋              | 13.0G/15.5G [05:11<00:58, 42.3MB/s
  753. model.safetensors:  84%|███████████████████████████████████████████████████████████████████████████▊              | 13.1G/15.5G [05:11<00:58, 42.1MB/s
  754. model.safetensors:  84%|███████████████████████████████████████████████████████████████████████████▊              | 13.1G/15.5G [05:11<00:57, 42.2MB/s
  755. model.safetensors:  84%|███████████████████████████████████████████████████████████████████████████▉              | 13.1G/15.5G [05:11<01:01, 39.6MB/s
  756. model.safetensors:  84%|███████████████████████████████████████████████████████████████████████████▉              | 13.1G/15.5G [05:12<00:59, 40.6MB/s
  757. model.safetensors:  84%|████████████████████████████████████████████████████████████████████████████              | 13.1G/15.5G [05:12<00:58, 41.0MB/s
  758. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████              | 13.1G/15.5G [05:12<00:57, 41.4MB/s
  759. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▏             | 13.1G/15.5G [05:12<00:57, 41.3MB/s
  760. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▏             | 13.1G/15.5G [05:13<00:56, 41.8MB/s
  761. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▎             | 13.1G/15.5G [05:13<00:56, 41.8MB/s
  762. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▎             | 13.1G/15.5G [05:13<00:56, 42.0MB/s
  763. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▍             | 13.2G/15.5G [05:13<00:55, 41.9MB/s
  764. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▍             | 13.2G/15.5G [05:14<00:55, 42.3MB/s
  765. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▌             | 13.2G/15.5G [05:14<00:55, 42.1MB/s
  766. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▌             | 13.2G/15.5G [05:14<00:54, 42.3MB/s
  767. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▋             | 13.2G/15.5G [05:14<00:54, 42.2MB/s
  768. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▋             | 13.2G/15.5G [05:15<00:54, 42.3MB/s
  769. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▊             | 13.2G/15.5G [05:15<00:53, 42.4MB/s
  770. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▊             | 13.2G/15.5G [05:15<00:53, 42.4MB/s
  771. model.safetensors:  85%|████████████████████████████████████████████████████████████████████████████▉             | 13.2G/15.5G [05:15<00:53, 42.3MB/s
  772. model.safetensors:  86%|████████████████████████████████████████████████████████████████████████████▉             | 13.3G/15.5G [05:16<00:53, 42.2MB/s
  773. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████             | 13.3G/15.5G [05:16<00:52, 42.2MB/s
  774. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████             | 13.3G/15.5G [05:16<00:52, 42.3MB/s
  775. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████▏            | 13.3G/15.5G [05:16<00:52, 42.3MB/s
  776. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████▏            | 13.3G/15.5G [05:17<00:51, 42.4MB/s
  777. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████▎            | 13.3G/15.5G [05:17<00:51, 42.6MB/s
  778. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████▎            | 13.3G/15.5G [05:17<00:51, 42.8MB/s
  779. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████▍            | 13.3G/15.5G [05:17<00:51, 42.3MB/s
  780. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████▍            | 13.3G/15.5G [05:18<00:51, 42.3MB/s
  781. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████▌            | 13.3G/15.5G [05:18<00:51, 42.1MB/s
  782. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████▌            | 13.4G/15.5G [05:18<00:50, 42.2MB/s
  783. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████▌            | 13.4G/15.5G [05:18<00:50, 42.1MB/s
  784. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████▋            | 13.4G/15.5G [05:19<00:50, 42.0MB/s
  785. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████▋            | 13.4G/15.5G [05:19<00:50, 42.0MB/s
  786. model.safetensors:  86%|█████████████████████████████████████████████████████████████████████████████▊            | 13.4G/15.5G [05:19<00:49, 42.1MB/s
  787. model.safetensors:  87%|█████████████████████████████████████████████████████████████████████████████▊            | 13.4G/15.5G [05:19<00:49, 42.3MB/s
  788. model.safetensors:  87%|█████████████████████████████████████████████████████████████████████████████▉            | 13.4G/15.5G [05:20<00:49, 42.2MB/s
  789. model.safetensors:  87%|█████████████████████████████████████████████████████████████████████████████▉            | 13.4G/15.5G [05:20<00:48, 42.4MB/s
  790. model.safetensors:  87%|██████████████████████████████████████████████████████████████████████████████            | 13.4G/15.5G [05:20<00:48, 42.4MB/s
  791. model.safetensors:  87%|██████████████████████████████████████████████████████████████████████████████            | 13.5G/15.5G [05:20<00:48, 42.4MB/s
  792. model.safetensors:  87%|██████████████████████████████████████████████████████████████████████████████▏           | 13.5G/15.5G [05:21<00:47, 42.8MB/s
  793. model.safetensors:  87%|██████████████████████████████████████████████████████████████████████████████▏           | 13.5G/15.5G [05:21<00:47, 42.7MB/s
  794. model.safetensors:  87%|██████████████████████████████████████████████████████████████████████████████▎           | 13.5G/15.5G [05:21<00:47, 42.6MB/s
  795. model.safetensors:  87%|██████████████████████████████████████████████████████████████████████████████▎           | 13.5G/15.5G [05:21<00:47, 42.6MB/s
  796. model.safetensors:  87%|██████████████████████████████████████████████████████████████████████████████▍           | 13.5G/15.5G [05:22<00:47, 42.3MB/s
  797. model.safetensors:  87%|██████████████████████████████████████████████████████████████████████████████▍           | 13.5G/15.5G [05:22<00:46, 42.3MB/s
  798. model.safetensors:  87%|██████████████████████████████████████████████████████████████████████████████▌           | 13.5G/15.5G [05:22<00:47, 41.3MB/s
  799. model.safetensors:  87%|██████████████████████████████████████████████████████████████████████████████▌           | 13.5G/15.5G [05:22<00:52, 37.2MB/s
  800. model.safetensors:  87%|██████████████████████████████████████████████████████████████████████████████▋           | 13.5G/15.5G [05:23<00:50, 38.7MB/s
  801. model.safetensors:  87%|██████████████████████████████████████████████████████████████████████████████▋           | 13.6G/15.5G [05:23<00:49, 39.6MB/s
  802. model.safetensors:  88%|██████████████████████████████████████████████████████████████████████████████▊           | 13.6G/15.5G [05:23<00:47, 40.6MB/s
  803. model.safetensors:  88%|██████████████████████████████████████████████████████████████████████████████▊           | 13.6G/15.5G [05:23<00:46, 41.0MB/s
  804. model.safetensors:  88%|██████████████████████████████████████████████████████████████████████████████▉           | 13.6G/15.5G [05:24<00:46, 41.5MB/s
  805. model.safetensors:  88%|██████████████████████████████████████████████████████████████████████████████▉           | 13.6G/15.5G [05:24<00:45, 41.7MB/s
  806. model.safetensors:  88%|███████████████████████████████████████████████████████████████████████████████           | 13.6G/15.5G [05:24<00:45, 41.6MB/s
  807. model.safetensors:  88%|███████████████████████████████████████████████████████████████████████████████           | 13.6G/15.5G [05:24<00:44, 42.0MB/s
  808. model.safetensors:  88%|███████████████████████████████████████████████████████████████████████████████▏          | 13.6G/15.5G [05:25<00:44, 41.9MB/s
  809. model.safetensors:  88%|███████████████████████████████████████████████████████████████████████████████▏          | 13.6G/15.5G [05:25<00:44, 42.2MB/s
  810. model.safetensors:  88%|███████████████████████████████████████████████████████████████████████████████▎          | 13.7G/15.5G [05:25<00:43, 42.3MB/s
  811. model.safetensors:  88%|███████████████████████████████████████████████████████████████████████████████▎          | 13.7G/15.5G [05:25<00:43, 41.9MB/s
  812. model.safetensors:  88%|███████████████████████████████████████████████████████████████████████████████▍          | 13.7G/15.5G [05:26<00:43, 42.0MB/s
  813. model.safetensors:  88%|███████████████████████████████████████████████████████████████████████████████▍          | 13.7G/15.5G [05:26<00:42, 42.3MB/s
  814. model.safetensors:  88%|███████████████████████████████████████████████████████████████████████████████▌          | 13.7G/15.5G [05:26<00:42, 42.4MB/s
  815. model.safetensors:  88%|███████████████████████████████████████████████████████████████████████████████▌          | 13.7G/15.5G [05:26<00:42, 42.5MB/s
  816. model.safetensors:  88%|███████████████████████████████████████████████████████████████████████████████▋          | 13.7G/15.5G [05:27<00:41, 42.6MB/s
  817. model.safetensors:  89%|███████████████████████████████████████████████████████████████████████████████▋          | 13.7G/15.5G [05:27<00:41, 42.7MB/s
  818. model.safetensors:  89%|███████████████████████████████████████████████████████████████████████████████▊          | 13.7G/15.5G [05:27<00:41, 42.6MB/s
  819. model.safetensors:  89%|███████████████████████████████████████████████████████████████████████████████▊          | 13.7G/15.5G [05:27<00:41, 42.4MB/s
  820. model.safetensors:  89%|███████████████████████████████████████████████████████████████████████████████▊          | 13.8G/15.5G [05:28<00:40, 42.6MB/s
  821. model.safetensors:  89%|███████████████████████████████████████████████████████████████████████████████▉          | 13.8G/15.5G [05:28<00:40, 42.5MB/s
  822. model.safetensors:  89%|███████████████████████████████████████████████████████████████████████████████▉          | 13.8G/15.5G [05:28<00:40, 42.5MB/s
  823. model.safetensors:  89%|████████████████████████████████████████████████████████████████████████████████          | 13.8G/15.5G [05:28<00:40, 42.5MB/s
  824. model.safetensors:  89%|████████████████████████████████████████████████████████████████████████████████          | 13.8G/15.5G [05:29<00:39, 42.7MB/s
  825. model.safetensors:  89%|████████████████████████████████████████████████████████████████████████████████▏         | 13.8G/15.5G [05:29<00:39, 42.7MB/s
  826. model.safetensors:  89%|████████████████████████████████████████████████████████████████████████████████▏         | 13.8G/15.5G [05:29<00:39, 42.8MB/s
  827. model.safetensors:  89%|████████████████████████████████████████████████████████████████████████████████▎         | 13.8G/15.5G [05:29<00:39, 42.8MB/s
  828. model.safetensors:  89%|████████████████████████████████████████████████████████████████████████████████▎         | 13.8G/15.5G [05:30<00:38, 42.8MB/s
  829. model.safetensors:  89%|████████████████████████████████████████████████████████████████████████████████▍         | 13.9G/15.5G [05:30<00:38, 42.6MB/s
  830. model.safetensors:  89%|████████████████████████████████████████████████████████████████████████████████▍         | 13.9G/15.5G [05:30<00:38, 42.5MB/s
  831. model.safetensors:  89%|████████████████████████████████████████████████████████████████████████████████▌         | 13.9G/15.5G [05:30<00:38, 42.1MB/s
  832. model.safetensors:  90%|████████████████████████████████████████████████████████████████████████████████▌         | 13.9G/15.5G [05:31<00:38, 42.1MB/s
  833. model.safetensors:  90%|████████████████████████████████████████████████████████████████████████████████▋         | 13.9G/15.5G [05:31<00:38, 42.1MB/s
  834. model.safetensors:  90%|████████████████████████████████████████████████████████████████████████████████▋         | 13.9G/15.5G [05:31<00:37, 42.3MB/s
  835. model.safetensors:  90%|████████████████████████████████████████████████████████████████████████████████▊         | 13.9G/15.5G [05:31<00:37, 42.4MB/s
  836. model.safetensors:  90%|████████████████████████████████████████████████████████████████████████████████▊         | 13.9G/15.5G [05:32<00:37, 42.4MB/s
  837. model.safetensors:  90%|████████████████████████████████████████████████████████████████████████████████▉         | 13.9G/15.5G [05:32<00:37, 42.2MB/s
  838. model.safetensors:  90%|████████████████████████████████████████████████████████████████████████████████▉         | 13.9G/15.5G [05:32<00:36, 42.5MB/s
  839. model.safetensors:  90%|█████████████████████████████████████████████████████████████████████████████████         | 14.0G/15.5G [05:32<00:36, 42.5MB/s
  840. model.safetensors:  90%|█████████████████████████████████████████████████████████████████████████████████         | 14.0G/15.5G [05:33<00:36, 42.4MB/s
  841. model.safetensors:  90%|█████████████████████████████████████████████████████████████████████████████████▏        | 14.0G/15.5G [05:33<00:36, 41.4MB/s
  842. model.safetensors:  90%|█████████████████████████████████████████████████████████████████████████████████▏        | 14.0G/15.5G [05:33<00:39, 38.7MB/s
  843. model.safetensors:  90%|█████████████████████████████████████████████████████████████████████████████████▎        | 14.0G/15.5G [05:33<00:38, 39.0MB/s
  844. model.safetensors:  90%|█████████████████████████████████████████████████████████████████████████████████▎        | 14.0G/15.5G [05:34<00:37, 40.1MB/s
  845. model.safetensors:  90%|█████████████████████████████████████████████████████████████████████████████████▍        | 14.0G/15.5G [05:34<00:36, 40.8MB/s
  846. model.safetensors:  91%|█████████████████████████████████████████████████████████████████████████████████▍        | 14.0G/15.5G [05:34<00:35, 41.2MB/s
  847. model.safetensors:  91%|█████████████████████████████████████████████████████████████████████████████████▌        | 14.0G/15.5G [05:34<00:35, 41.6MB/s
  848. model.safetensors:  91%|█████████████████████████████████████████████████████████████████████████████████▌        | 14.1G/15.5G [05:35<00:34, 41.7MB/s
  849. model.safetensors:  91%|█████████████████████████████████████████████████████████████████████████████████▋        | 14.1G/15.5G [05:35<00:34, 41.9MB/s
  850. model.safetensors:  91%|█████████████████████████████████████████████████████████████████████████████████▋        | 14.1G/15.5G [05:35<00:33, 42.2MB/s
  851. model.safetensors:  91%|█████████████████████████████████████████████████████████████████████████████████▊        | 14.1G/15.5G [05:35<00:33, 42.2MB/s
  852. model.safetensors:  91%|█████████████████████████████████████████████████████████████████████████████████▊        | 14.1G/15.5G [05:36<00:33, 42.2MB/s
  853. model.safetensors:  91%|█████████████████████████████████████████████████████████████████████████████████▉        | 14.1G/15.5G [05:36<00:33, 42.2MB/s
  854. model.safetensors:  91%|█████████████████████████████████████████████████████████████████████████████████▉        | 14.1G/15.5G [05:36<00:32, 42.2MB/s
  855. model.safetensors:  91%|██████████████████████████████████████████████████████████████████████████████████        | 14.1G/15.5G [05:36<00:32, 42.4MB/s
  856. model.safetensors:  91%|██████████████████████████████████████████████████████████████████████████████████        | 14.1G/15.5G [05:37<00:32, 42.2MB/s
  857. model.safetensors:  91%|██████████████████████████████████████████████████████████████████████████████████▏       | 14.1G/15.5G [05:37<00:32, 42.1MB/s
  858. model.safetensors:  91%|██████████████████████████████████████████████████████████████████████████████████▏       | 14.2G/15.5G [05:37<00:31, 42.1MB/s
  859. model.safetensors:  91%|██████████████████████████████████████████████████████████████████████████████████▏       | 14.2G/15.5G [05:37<00:31, 42.4MB/s
  860. model.safetensors:  91%|██████████████████████████████████████████████████████████████████████████████████▎       | 14.2G/15.5G [05:38<00:31, 42.2MB/s
  861. model.safetensors:  92%|██████████████████████████████████████████████████████████████████████████████████▎       | 14.2G/15.5G [05:38<00:31, 42.2MB/s
  862. model.safetensors:  92%|██████████████████████████████████████████████████████████████████████████████████▍       | 14.2G/15.5G [05:38<00:30, 42.1MB/s
  863. model.safetensors:  92%|██████████████████████████████████████████████████████████████████████████████████▍       | 14.2G/15.5G [05:38<00:30, 42.4MB/s
  864. model.safetensors:  92%|██████████████████████████████████████████████████████████████████████████████████▌       | 14.2G/15.5G [05:39<00:30, 42.5MB/s
  865. model.safetensors:  92%|██████████████████████████████████████████████████████████████████████████████████▌       | 14.2G/15.5G [05:39<00:29, 42.4MB/s
  866. model.safetensors:  92%|██████████████████████████████████████████████████████████████████████████████████▋       | 14.2G/15.5G [05:39<00:29, 42.6MB/s
  867. model.safetensors:  92%|██████████████████████████████████████████████████████████████████████████████████▋       | 14.3G/15.5G [05:39<00:29, 42.4MB/s
  868. model.safetensors:  92%|██████████████████████████████████████████████████████████████████████████████████▊       | 14.3G/15.5G [05:40<00:29, 42.4MB/s
  869. model.safetensors:  92%|██████████████████████████████████████████████████████████████████████████████████▊       | 14.3G/15.5G [05:40<00:29, 42.3MB/s
  870. model.safetensors:  92%|██████████████████████████████████████████████████████████████████████████████████▉       | 14.3G/15.5G [05:40<00:28, 42.2MB/s
  871. model.safetensors:  92%|██████████████████████████████████████████████████████████████████████████████████▉       | 14.3G/15.5G [05:40<00:28, 42.2MB/s
  872. model.safetensors:  92%|███████████████████████████████████████████████████████████████████████████████████       | 14.3G/15.5G [05:41<00:28, 42.4MB/s
  873. model.safetensors:  92%|███████████████████████████████████████████████████████████████████████████████████       | 14.3G/15.5G [05:41<00:27, 42.5MB/s
  874. model.safetensors:  92%|███████████████████████████████████████████████████████████████████████████████████▏      | 14.3G/15.5G [05:41<00:27, 42.3MB/s
  875. model.safetensors:  92%|███████████████████████████████████████████████████████████████████████████████████▏      | 14.3G/15.5G [05:41<00:27, 42.4MB/s
  876. model.safetensors:  93%|███████████████████████████████████████████████████████████████████████████████████▎      | 14.3G/15.5G [05:42<00:27, 42.6MB/s
  877. model.safetensors:  93%|███████████████████████████████████████████████████████████████████████████████████▎      | 14.4G/15.5G [05:42<00:27, 42.3MB/s
  878. model.safetensors:  93%|███████████████████████████████████████████████████████████████████████████████████▍      | 14.4G/15.5G [05:42<00:26, 42.3MB/s
  879. model.safetensors:  93%|███████████████████████████████████████████████████████████████████████████████████▍      | 14.4G/15.5G [05:42<00:26, 42.6MB/s
  880. model.safetensors:  93%|███████████████████████████████████████████████████████████████████████████████████▌      | 14.4G/15.5G [05:43<00:26, 42.4MB/s
  881. model.safetensors:  93%|███████████████████████████████████████████████████████████████████████████████████▌      | 14.4G/15.5G [05:43<00:25, 42.5MB/s
  882. model.safetensors:  93%|███████████████████████████████████████████████████████████████████████████████████▋      | 14.4G/15.5G [05:43<00:25, 42.7MB/s
  883. model.safetensors:  93%|███████████████████████████████████████████████████████████████████████████████████▋      | 14.4G/15.5G [05:43<00:25, 42.7MB/s
  884. model.safetensors:  93%|███████████████████████████████████████████████████████████████████████████████████▊      | 14.4G/15.5G [05:44<00:25, 41.6MB/s
  885. model.safetensors:  93%|███████████████████████████████████████████████████████████████████████████████████▊      | 14.4G/15.5G [05:44<00:28, 37.5MB/s
  886. model.safetensors:  93%|███████████████████████████████████████████████████████████████████████████████████▉      | 14.4G/15.5G [05:44<00:26, 39.0MB/s
  887. model.safetensors:  93%|███████████████████████████████████████████████████████████████████████████████████▉      | 14.5G/15.5G [05:44<00:26, 39.9MB/s
  888. model.safetensors:  93%|████████████████████████████████████████████████████████████████████████████████████      | 14.5G/15.5G [05:45<00:25, 40.5MB/s
  889. model.safetensors:  93%|████████████████████████████████████████████████████████████████████████████████████      | 14.5G/15.5G [05:45<00:24, 41.1MB/s
  890. model.safetensors:  93%|████████████████████████████████████████████████████████████████████████████████████▏     | 14.5G/15.5G [05:45<00:24, 41.5MB/s
  891. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▏     | 14.5G/15.5G [05:45<00:23, 41.9MB/s
  892. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▎     | 14.5G/15.5G [05:46<00:23, 42.1MB/s
  893. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▎     | 14.5G/15.5G [05:46<00:23, 42.3MB/s
  894. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▍     | 14.5G/15.5G [05:46<00:22, 42.2MB/s
  895. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▍     | 14.5G/15.5G [05:46<00:22, 42.3MB/s
  896. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▌     | 14.6G/15.5G [05:47<00:22, 42.6MB/s
  897. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▌     | 14.6G/15.5G [05:47<00:22, 42.1MB/s
  898. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▌     | 14.6G/15.5G [05:47<00:21, 42.3MB/s
  899. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▋     | 14.6G/15.5G [05:47<00:21, 42.2MB/s
  900. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▋     | 14.6G/15.5G [05:48<00:21, 42.4MB/s
  901. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▊     | 14.6G/15.5G [05:48<00:21, 42.4MB/s
  902. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▊     | 14.6G/15.5G [05:48<00:20, 42.3MB/s
  903. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▉     | 14.6G/15.5G [05:48<00:20, 42.2MB/s
  904. model.safetensors:  94%|████████████████████████████████████████████████████████████████████████████████████▉     | 14.6G/15.5G [05:49<00:20, 42.3MB/s
  905. model.safetensors:  94%|█████████████████████████████████████████████████████████████████████████████████████     | 14.6G/15.5G [05:49<00:20, 42.2MB/s
  906. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████     | 14.7G/15.5G [05:49<00:19, 42.5MB/s
  907. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▏    | 14.7G/15.5G [05:49<00:19, 42.3MB/s
  908. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▏    | 14.7G/15.5G [05:50<00:19, 42.3MB/s
  909. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▎    | 14.7G/15.5G [05:50<00:19, 42.5MB/s
  910. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▎    | 14.7G/15.5G [05:50<00:24, 33.3MB/s
  911. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▍    | 14.7G/15.5G [05:50<00:20, 37.8MB/s
  912. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▍    | 14.7G/15.5G [05:51<00:17, 43.7MB/s
  913. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▌    | 14.7G/15.5G [05:51<00:16, 47.9MB/s
  914. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▌    | 14.7G/15.5G [05:51<00:16, 46.1MB/s
  915. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▋    | 14.8G/15.5G [05:51<00:16, 45.0MB/s
  916. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▋    | 14.8G/15.5G [05:52<00:16, 44.1MB/s
  917. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▊    | 14.8G/15.5G [05:52<00:16, 43.7MB/s
  918. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▊    | 14.8G/15.5G [05:52<00:16, 43.4MB/s
  919. model.safetensors:  95%|█████████████████████████████████████████████████████████████████████████████████████▉    | 14.8G/15.5G [05:52<00:16, 43.3MB/s
  920. model.safetensors:  96%|█████████████████████████████████████████████████████████████████████████████████████▉    | 14.8G/15.5G [05:53<00:16, 42.9MB/s
  921. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████    | 14.8G/15.5G [05:53<00:16, 42.6MB/s
  922. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████    | 14.8G/15.5G [05:53<00:15, 42.7MB/s
  923. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████▏   | 14.8G/15.5G [05:53<00:15, 42.4MB/s
  924. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████▏   | 14.8G/15.5G [05:54<00:15, 42.7MB/s
  925. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████▎   | 14.9G/15.5G [05:54<00:15, 42.7MB/s
  926. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████▎   | 14.9G/15.5G [05:54<00:14, 42.7MB/s
  927. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████▍   | 14.9G/15.5G [05:54<00:14, 42.6MB/s
  928. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████▍   | 14.9G/15.5G [05:55<00:14, 41.9MB/s
  929. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████▌   | 14.9G/15.5G [05:55<00:14, 42.2MB/s
  930. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████▌   | 14.9G/15.5G [05:55<00:13, 42.4MB/s
  931. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████▋   | 14.9G/15.5G [05:55<00:13, 42.7MB/s
  932. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████▋   | 14.9G/15.5G [05:55<00:13, 42.6MB/s
  933. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████▊   | 14.9G/15.5G [05:56<00:13, 42.7MB/s
  934. model.safetensors:  96%|██████████████████████████████████████████████████████████████████████████████████████▊   | 15.0G/15.5G [05:56<00:12, 42.8MB/s
  935. model.safetensors:  97%|██████████████████████████████████████████████████████████████████████████████████████▉   | 15.0G/15.5G [05:56<00:12, 42.3MB/s
  936. model.safetensors:  97%|██████████████████████████████████████████████████████████████████████████████████████▉   | 15.0G/15.5G [05:56<00:12, 42.5MB/s
  937. model.safetensors:  97%|██████████████████████████████████████████████████████████████████████████████████████▉   | 15.0G/15.5G [05:57<00:12, 42.2MB/s
  938. model.safetensors:  97%|███████████████████████████████████████████████████████████████████████████████████████   | 15.0G/15.5G [05:57<00:11, 42.2MB/s
  939. model.safetensors:  97%|███████████████████████████████████████████████████████████████████████████████████████   | 15.0G/15.5G [05:57<00:11, 42.4MB/s
  940. model.safetensors:  97%|███████████████████████████████████████████████████████████████████████████████████████▏  | 15.0G/15.5G [05:57<00:11, 42.2MB/s
  941. model.safetensors:  97%|███████████████████████████████████████████████████████████████████████████████████████▏  | 15.0G/15.5G [05:58<00:11, 42.2MB/s
  942. model.safetensors:  97%|███████████████████████████████████████████████████████████████████████████████████████▎  | 15.0G/15.5G [05:58<00:11, 42.1MB/s
  943. model.safetensors:  97%|███████████████████████████████████████████████████████████████████████████████████████▎  | 15.0G/15.5G [05:58<00:10, 42.1MB/s
  944. model.safetensors:  97%|███████████████████████████████████████████████████████████████████████████████████████▍  | 15.1G/15.5G [05:58<00:10, 42.2MB/s
  945. model.safetensors:  97%|███████████████████████████████████████████████████████████████████████████████████████▍  | 15.1G/15.5G [05:59<00:10, 42.3MB/s
  946. model.safetensors:  97%|███████████████████████████████████████████████████████████████████████████████████████▌  | 15.1G/15.5G [05:59<00:10, 42.2MB/s
  947. model.safetensors:  97%|███████████████████████████████████████████████████████████████████████████████████████▌  | 15.1G/15.5G [05:59<00:09, 42.2MB/s
  948. model.safetensors:  97%|███████████████████████████████████████████████████████████████████████████████████████▋  | 15.1G/15.5G [05:59<00:09, 42.2MB/s
  949. model.safetensors:  97%|███████████████████████████████████████████████████████████████████████████████████████▋  | 15.1G/15.5G [06:00<00:09, 42.3MB/s
  950. model.safetensors:  98%|███████████████████████████████████████████████████████████████████████████████████████▊  | 15.1G/15.5G [06:00<00:09, 42.2MB/s
  951. model.safetensors:  98%|███████████████████████████████████████████████████████████████████████████████████████▊  | 15.1G/15.5G [06:00<00:08, 42.2MB/s
  952. model.safetensors:  98%|███████████████████████████████████████████████████████████████████████████████████████▉  | 15.1G/15.5G [06:01<00:10, 33.4MB/s
  953. model.safetensors:  98%|███████████████████████████████████████████████████████████████████████████████████████▉  | 15.2G/15.5G [06:01<00:09, 38.8MB/s
  954. model.safetensors:  98%|████████████████████████████████████████████████████████████████████████████████████████  | 15.2G/15.5G [06:01<00:07, 45.1MB/s
  955. model.safetensors:  98%|████████████████████████████████████████████████████████████████████████████████████████  | 15.2G/15.5G [06:01<00:07, 46.6MB/s
  956. model.safetensors:  98%|████████████████████████████████████████████████████████████████████████████████████████▏ | 15.2G/15.5G [06:01<00:07, 45.3MB/s
  957. model.safetensors:  98%|████████████████████████████████████████████████████████████████████████████████████████▏ | 15.2G/15.5G [06:02<00:06, 44.5MB/s
  958. model.safetensors:  98%|████████████████████████████████████████████████████████████████████████████████████████▎ | 15.2G/15.5G [06:02<00:06, 43.8MB/s
  959. model.safetensors:  98%|████████████████████████████████████████████████████████████████████████████████████████▎ | 15.2G/15.5G [06:02<00:06, 43.4MB/s
  960. model.safetensors:  98%|████████████████████████████████████████████████████████████████████████████████████████▍ | 15.2G/15.5G [06:02<00:06, 43.2MB/s
  961. model.safetensors:  98%|████████████████████████████████████████████████████████████████████████████████████████▍ | 15.2G/15.5G [06:03<00:06, 42.8MB/s
  962. model.safetensors:  98%|████████████████████████████████████████████████████████████████████████████████████████▌ | 15.2G/15.5G [06:03<00:06, 42.4MB/s
  963. model.safetensors:  98%|████████████████████████████████████████████████████████████████████████████████████████▌ | 15.3G/15.5G [06:03<00:05, 42.4MB/s
  964. model.safetensors:  98%|████████████████████████████████████████████████████████████████████████████████████████▋ | 15.3G/15.5G [06:03<00:05, 42.5MB/s
  965. model.safetensors:  99%|████████████████████████████████████████████████████████████████████████████████████████▋ | 15.3G/15.5G [06:04<00:05, 42.7MB/s
  966. model.safetensors:  99%|████████████████████████████████████████████████████████████████████████████████████████▊ | 15.3G/15.5G [06:04<00:04, 42.7MB/s
  967. model.safetensors:  99%|████████████████████████████████████████████████████████████████████████████████████████▊ | 15.3G/15.5G [06:04<00:04, 42.4MB/s
  968. model.safetensors:  99%|████████████████████████████████████████████████████████████████████████████████████████▉ | 15.3G/15.5G [06:04<00:04, 42.1MB/s
  969. model.safetensors:  99%|████████████████████████████████████████████████████████████████████████████████████████▉ | 15.3G/15.5G [06:05<00:04, 42.1MB/s
  970. model.safetensors:  99%|█████████████████████████████████████████████████████████████████████████████████████████ | 15.3G/15.5G [06:05<00:04, 42.3MB/s
  971. model.safetensors:  99%|█████████████████████████████████████████████████████████████████████████████████████████ | 15.3G/15.5G [06:05<00:03, 41.6MB/s
  972. model.safetensors:  99%|█████████████████████████████████████████████████████████████████████████████████████████▏| 15.4G/15.5G [06:05<00:03, 41.9MB/s
  973. model.safetensors:  99%|█████████████████████████████████████████████████████████████████████████████████████████▏| 15.4G/15.5G [06:06<00:03, 42.1MB/s
  974. model.safetensors:  99%|█████████████████████████████████████████████████████████████████████████████████████████▎| 15.4G/15.5G [06:06<00:03, 42.3MB/s
  975. model.safetensors:  99%|█████████████████████████████████████████████████████████████████████████████████████████▎| 15.4G/15.5G [06:06<00:02, 42.4MB/s
  976. model.safetensors:  99%|█████████████████████████████████████████████████████████████████████████████████████████▎| 15.4G/15.5G [06:06<00:02, 42.5MB/s
  977. model.safetensors:  99%|█████████████████████████████████████████████████████████████████████████████████████████▍| 15.4G/15.5G [06:07<00:02, 42.5MB/s
  978. model.safetensors:  99%|█████████████████████████████████████████████████████████████████████████████████████████▍| 15.4G/15.5G [06:07<00:02, 42.5MB/s
  979. model.safetensors: 100%|█████████████████████████████████████████████████████████████████████████████████████████▌| 15.4G/15.5G [06:07<00:01, 42.4MB/s
  980. model.safetensors: 100%|█████████████████████████████████████████████████████████████████████████████████████████▌| 15.4G/15.5G [06:07<00:01, 42.3MB/s
  981. model.safetensors: 100%|█████████████████████████████████████████████████████████████████████████████████████████▋| 15.4G/15.5G [06:08<00:01, 42.3MB/s
  982. model.safetensors: 100%|█████████████████████████████████████████████████████████████████████████████████████████▋| 15.5G/15.5G [06:08<00:01, 42.4MB/s
  983. model.safetensors: 100%|█████████████████████████████████████████████████████████████████████████████████████████▊| 15.5G/15.5G [06:08<00:00, 42.0MB/s
  984. model.safetensors: 100%|█████████████████████████████████████████████████████████████████████████████████████████▊| 15.5G/15.5G [06:08<00:00, 42.1MB/s
  985. model.safetensors: 100%|█████████████████████████████████████████████████████████████████████████████████████████▉| 15.5G/15.5G [06:09<00:00, 41.9MB/s
  986. model.safetensors: 100%|██████████████████████████████████████████████████████████████████████████████████████████| 15.5G/15.5G [06:09<00:00, 42.0MB/s]
  987. Traceback (most recent call last):
  988.   File "C:\!Sd\OmniGen\app.py", line 11, in <module>
  989.     pipe = OmniGenPipeline.from_pretrained(
  990.   File "C:\!Sd\OmniGen\OmniGen\pipeline.py", line 78, in from_pretrained
  991.     model_name = snapshot_download(repo_id=model_name,
  992.   File "C:\!Sd\OmniGen\env\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
  993.     return fn(*args, **kwargs)
  994.   File "C:\!Sd\OmniGen\env\lib\site-packages\huggingface_hub\_snapshot_download.py", line 293, in snapshot_download
  995.     thread_map(
  996.   File "C:\!Sd\OmniGen\env\lib\site-packages\tqdm\contrib\concurrent.py", line 69, in thread_map
  997.     return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
  998.   File "C:\!Sd\OmniGen\env\lib\site-packages\tqdm\contrib\concurrent.py", line 51, in _executor_map
  999.     return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
  1000.   File "C:\!Sd\OmniGen\env\lib\site-packages\tqdm\std.py", line 1181, in __iter__
  1001.     for obj in iterable:
  1002.   File "C:\Users\damie\AppData\Local\Programs\Python\Python310\lib\concurrent\futures\_base.py", line 621, in result_iterator
  1003.     yield _result_or_cancel(fs.pop())
  1004.   File "C:\Users\damie\AppData\Local\Programs\Python\Python310\lib\concurrent\futures\_base.py", line 319, in _result_or_cancel
  1005.     return fut.result(timeout)
  1006.   File "C:\Users\damie\AppData\Local\Programs\Python\Python310\lib\concurrent\futures\_base.py", line 451, in result
  1007.     return self.__get_result()
  1008.   File "C:\Users\damie\AppData\Local\Programs\Python\Python310\lib\concurrent\futures\_base.py", line 403, in __get_result
  1009.     raise self._exception
  1010.   File "C:\Users\damie\AppData\Local\Programs\Python\Python310\lib\concurrent\futures\thread.py", line 58, in run
  1011.     result = self.fn(*self.args, **self.kwargs)
  1012.   File "C:\!Sd\OmniGen\env\lib\site-packages\huggingface_hub\_snapshot_download.py", line 267, in _inner_hf_hub_download
  1013.     return hf_hub_download(
  1014.   File "C:\!Sd\OmniGen\env\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
  1015.     return fn(*args, **kwargs)
  1016.   File "C:\!Sd\OmniGen\env\lib\site-packages\huggingface_hub\file_download.py", line 862, in hf_hub_download
  1017.     return _hf_hub_download_to_cache_dir(
  1018.   File "C:\!Sd\OmniGen\env\lib\site-packages\huggingface_hub\file_download.py", line 1022, in _hf_hub_download_to_cache_dir
  1019.     _create_symlink(blob_path, pointer_path, new_blob=True)
  1020.   File "C:\!Sd\OmniGen\env\lib\site-packages\huggingface_hub\file_download.py", line 586, in _create_symlink
  1021.     os.symlink(src_rel_or_abs, abs_dst)
  1022. OSError: [WinError 1314] A required privilege is not held by the client: '..\\..\\blobs\\6669392316dc8137610dc3d52536a5fefd94b6e5' -> 'C:\\Users\\damie\\.cache\\huggingface\\hub\\models--Shitao--OmniGen-v1\\snapshots\\58e249c7c7634423c0ba41c34a774af79aa87889\\README.md'
  1023.  
  1024. (env) C:\!Sd\OmniGen>
  1025.  
Tags: python install omnigen
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement
Public Pastes
Advertisement
We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy.  OK, I Understand
Not a member of Pastebin yet?
Sign Up, it unlocks many cool features!