Spaces:
dummy
Runtime error

runtime error

Space not ready. Reason: Error, exitCode: 1, message: None

Container logs:

					
						Downloading:   0%|          | 0.00/615 [00:00<?, ?B/s]
Downloading: 100%|██████████| 615/615 [00:00<00:00, 750kB/s]

Fetching 15 files:   0%|          | 0/15 [00:00<?, ?it/s]

Downloading:   0%|          | 0.00/518 [00:00<?, ?B/s]
Downloading: 100%|██████████| 518/518 [00:00<00:00, 394kB/s]


Downloading:   0%|          | 0.00/4.85k [00:00<?, ?B/s]
Downloading: 100%|██████████| 4.85k/4.85k [00:00<00:00, 10.2MB/s]


Downloading:   0%|          | 0.00/608M [00:00<?, ?B/s]

Downloading:   1%|          | 3.19M/608M [00:00<00:20, 29.6MB/s]

Downloading:   2%|▏         | 13.7M/608M [00:00<00:08, 72.7MB/s]

Downloading:   3%|▎         | 21.1M/608M [00:00<00:09, 60.2MB/s]

Downloading:   5%|▍         | 28.4M/608M [00:00<00:09, 64.4MB/s]

Downloading:   6%|▌         | 36.4M/608M [00:00<00:08, 69.5MB/s]

Downloading:   8%|▊         | 46.0M/608M [00:00<00:07, 78.0MB/s]

Downloading:   9%|▉         | 55.4M/608M [00:00<00:06, 83.2MB/s]

Downloading:  11%|█         | 63.9M/608M [00:00<00:09, 58.4MB/s]

Downloading:  12%|█▏        | 73.3M/608M [00:01<00:07, 66.9MB/s]

Downloading:  14%|█▎        | 83.1M/608M [00:01<00:07, 74.7MB/s]

Downloading:  15%|█▌        | 93.3M/608M [00:01<00:06, 82.0MB/s]

Downloading:  17%|█▋        | 103M/608M [00:01<00:05, 86.4MB/s] 

Downloading:  19%|█▊        | 113M/608M [00:01<00:05, 89.3MB/s]

Downloading:  20%|██        | 122M/608M [00:01<00:05, 89.7MB/s]

Downloading:  22%|██▏       | 132M/608M [00:01<00:05, 92.7MB/s]

Downloading:  23%|██▎       | 142M/608M [00:01<00:04, 93.7MB/s]

Downloading:  25%|██▍       | 151M/608M [00:01<00:05, 85.7MB/s]

Downloading:  26%|██▋       | 160M/608M [00:02<00:06, 68.7MB/s]

Downloading:  28%|██▊       | 170M/608M [00:02<00:05, 75.4MB/s]

Downloading:  29%|██▉       | 179M/608M [00:02<00:05, 79.6MB/s]

Downloading:  31%|███       | 187M/608M [00:02<00:05, 71.8MB/s]

Downloading:  32%|███▏      | 197M/608M [00:02<00:05, 77.8MB/s]

Downloading:  34%|███▍      | 207M/608M [00:02<00:04, 82.8MB/s]

Downloading:  36%|███▌      | 217M/608M [00:02<00:04, 87.2MB/s]

Downloading:  37%|███▋      | 226M/608M [00:02<00:04, 90.3MB/s]

Downloading:  39%|███▉      | 236M/608M [00:02<00:04, 92.5MB/s]

Downloading:  40%|████      | 246M/608M [00:03<00:03, 94.3MB/s]

Downloading:  42%|████▏     | 256M/608M [00:03<00:03, 95.0MB/s]

Downloading:  44%|████▎     | 266M/608M [00:03<00:03, 96.8MB/s]

Downloading:  45%|████▌     | 276M/608M [00:03<00:03, 97.5MB/s]

Downloading:  47%|████▋     | 286M/608M [00:03<00:03, 97.9MB/s]

Downloading:  49%|████▊     | 295M/608M [00:03<00:03, 94.1MB/s]

Downloading:  50%|█████     | 305M/608M [00:03<00:03, 94.4MB/s]

Downloading:  52%|█████▏    | 315M/608M [00:03<00:03, 95.5MB/s]

Downloading:  53%|█████▎    | 325M/608M [00:03<00:02, 96.9MB/s]

Downloading:  55%|█████▌    | 335M/608M [00:03<00:02, 97.3MB/s]

Downloading:  57%|█████▋    | 344M/608M [00:04<00:04, 60.6MB/s]

Downloading:  58%|█████▊    | 352M/608M [00:04<00:04, 51.3MB/s]

Downloading:  60%|█████▉    | 363M/608M [00:04<00:03, 62.1MB/s]

Downloading:  61%|██████    | 371M/608M [00:04<00:04, 51.6MB/s]

Downloading:  63%|██████▎   | 380M/608M [00:04<00:03, 60.6MB/s]

Downloading:  64%|██████▍   | 391M/608M [00:05<00:03, 71.0MB/s]

Downloading:  66%|██████▌   | 400M/608M [00:05<00:03, 62.6MB/s]

Downloading:  68%|██████▊   | 411M/608M [00:05<00:02, 73.4MB/s]

Downloading:  69%|██████▉   | 419M/608M [00:05<00:02, 66.3MB/s]

Downloading:  70%|███████   | 429M/608M [00:05<00:02, 72.9MB/s]

Downloading:  72%|███████▏  | 440M/608M [00:05<00:02, 82.2MB/s]

Downloading:  74%|███████▍  | 449M/608M [00:05<00:02, 53.4MB/s]

Downloading:  75%|███████▌  | 457M/608M [00:06<00:02, 59.9MB/s]

Downloading:  77%|███████▋  | 468M/608M [00:06<00:02, 69.0MB/s]

Downloading:  79%|███████▊  | 478M/608M [00:06<00:01, 77.2MB/s]

Downloading:  80%|████████  | 488M/608M [00:06<00:01, 82.2MB/s]

Downloading:  82%|████████▏ | 498M/608M [00:06<00:01, 61.7MB/s]

Downloading:  83%|████████▎ | 505M/608M [00:06<00:01, 54.1MB/s]

Downloading:  85%|████████▍ | 515M/608M [00:06<00:01, 63.0MB/s]

Downloading:  86%|████████▌ | 524M/608M [00:07<00:01, 69.2MB/s]

Downloading:  88%|████████▊ | 536M/608M [00:07<00:00, 80.2MB/s]

Downloading:  90%|████████▉ | 546M/608M [00:07<00:00, 86.4MB/s]

Downloading:  91%|█████████▏| 555M/608M [00:07<00:00, 88.4MB/s]

Downloading:  93%|█████████▎| 566M/608M [00:07<00:00, 93.1MB/s]

Downloading:  95%|█████████▍| 576M/608M [00:07<00:00, 89.0MB/s]

Downloading:  96%|█████████▌| 585M/608M [00:07<00:00, 51.4MB/s]

Downloading:  98%|█████████▊| 595M/608M [00:08<00:00, 60.1MB/s]

Downloading:  99%|█████████▉| 603M/608M [00:08<00:00, 39.1MB/s]
Downloading: 100%|██████████| 608M/608M [00:08<00:00, 71.4MB/s]

Fetching 15 files:  27%|██▋       | 4/15 [00:08<00:23,  2.18s/it]

Downloading:   0%|          | 0.00/569 [00:00<?, ?B/s]
Downloading: 100%|██████████| 569/569 [00:00<00:00, 1.34MB/s]


Downloading:   0%|          | 0.00/614 [00:00<?, ?B/s]
Downloading: 100%|██████████| 614/614 [00:00<00:00, 1.56MB/s]


Downloading:   0%|          | 0.00/246M [00:00<?, ?B/s]

Downloading:   1%|▏         | 3.46M/246M [00:00<00:11, 20.7MB/s]

Downloading:   6%|▌         | 14.5M/246M [00:00<00:03, 62.2MB/s]

Downloading:  11%|█         | 26.0M/246M [00:00<00:02, 83.1MB/s]

Downloading:  14%|█▍        | 35.3M/246M [00:00<00:02, 80.6MB/s]

Downloading:  18%|█▊        | 44.3M/246M [00:00<00:02, 83.7MB/s]

Downloading:  22%|██▏       | 54.1M/246M [00:00<00:02, 88.0MB/s]

Downloading:  26%|██▌       | 63.2M/246M [00:00<00:02, 73.3MB/s]

Downloading:  29%|██▉       | 71.1M/246M [00:01<00:02, 64.5MB/s]

Downloading:  33%|███▎      | 81.7M/246M [00:01<00:02, 75.0MB/s]

Downloading:  37%|███▋      | 89.9M/246M [00:01<00:02, 65.7MB/s]

Downloading:  41%|████      | 99.9M/246M [00:01<00:01, 74.2MB/s]

Downloading:  44%|████▍     | 109M/246M [00:01<00:01, 79.7MB/s] 

Downloading:  48%|████▊     | 118M/246M [00:01<00:01, 65.8MB/s]

Downloading:  52%|█████▏    | 128M/246M [00:01<00:01, 74.0MB/s]

Downloading:  56%|█████▌    | 138M/246M [00:01<00:01, 80.5MB/s]

Downloading:  60%|██████    | 148M/246M [00:01<00:01, 86.9MB/s]

Downloading:  64%|██████▍   | 159M/246M [00:02<00:00, 91.3MB/s]

Downloading:  69%|██████▉   | 169M/246M [00:02<00:00, 95.9MB/s]

Downloading:  73%|███████▎  | 179M/246M [00:02<00:00, 95.8MB/s]

Downloading:  77%|███████▋  | 190M/246M [00:02<00:00, 97.4MB/s]

Downloading:  81%|████████▏ | 200M/246M [00:02<00:00, 100MB/s] 

Downloading:  86%|████████▌ | 210M/246M [00:02<00:00, 98.5MB/s]

Downloading:  90%|████████▉ | 220M/246M [00:02<00:00, 89.1MB/s]

Downloading:  93%|█████████▎| 230M/246M [00:02<00:00, 80.6MB/s]

Downloading:  97%|█████████▋| 238M/246M [00:02<00:00, 79.8MB/s]
Downloading: 100%|██████████| 246M/246M [00:03<00:00, 80.7MB/s]

Fetching 15 files:  47%|████▋     | 7/15 [00:11<00:12,  1.61s/it]

Downloading:   0%|          | 0.00/525k [00:00<?, ?B/s]
Downloading: 100%|██████████| 525k/525k [00:00<00:00, 44.1MB/s]


Downloading:   0%|          | 0.00/472 [00:00<?, ?B/s]
Downloading: 100%|██████████| 472/472 [00:00<00:00, 982kB/s]


Downloading:   0%|          | 0.00/805 [00:00<?, ?B/s]
Downloading: 100%|██████████| 805/805 [00:00<00:00, 2.08MB/s]

Fetching 15 files:  67%|██████▋   | 10/15 [00:12<00:04,  1.06it/s]

Downloading:   0%|          | 0.00/1.06M [00:00<?, ?B/s]
Downloading: 100%|██████████| 1.06M/1.06M [00:00<00:00, 98.0MB/s]


Downloading:   0%|          | 0.00/1.07k [00:00<?, ?B/s]
Downloading: 100%|██████████| 1.07k/1.07k [00:00<00:00, 2.67MB/s]

Fetching 15 files:  80%|████████  | 12/15 [00:12<00:02,  1.45it/s]

Downloading:   0%|          | 0.00/1.72G [00:00<?, ?B/s]

Downloading:   0%|          | 3.19M/1.72G [00:00<01:43, 16.6MB/s]

Downloading:   1%|          | 12.2M/1.72G [00:00<00:35, 47.9MB/s]

Downloading:   1%|          | 18.7M/1.72G [00:00<00:31, 54.5MB/s]

Downloading:   1%|▏         | 24.9M/1.72G [00:00<00:49, 34.1MB/s]

Downloading:   2%|▏         | 29.5M/1.72G [00:01<01:09, 24.2MB/s]

Downloading:   2%|▏         | 39.6M/1.72G [00:01<00:44, 37.8MB/s]

Downloading:   3%|▎         | 45.3M/1.72G [00:01<00:45, 37.0MB/s]

Downloading:   3%|▎         | 52.3M/1.72G [00:01<00:38, 43.6MB/s]

Downloading:   3%|▎         | 57.9M/1.72G [00:01<00:41, 39.6MB/s]

Downloading:   4%|▍         | 68.1M/1.72G [00:01<00:31, 53.1MB/s]

Downloading:   5%|▍         | 78.7M/1.72G [00:01<00:25, 65.6MB/s]

Downloading:   5%|▌         | 88.5M/1.72G [00:01<00:22, 73.7MB/s]

Downloading:   6%|▌         | 99.8M/1.72G [00:01<00:19, 84.0MB/s]

Downloading:   6%|▋         | 109M/1.72G [00:02<00:37, 42.6MB/s] 

Downloading:   7%|▋         | 120M/1.72G [00:02<00:30, 53.2MB/s]

Downloading:   8%|▊         | 131M/1.72G [00:02<00:24, 64.5MB/s]

Downloading:   8%|▊         | 141M/1.72G [00:02<00:21, 72.6MB/s]

Downloading:   9%|▉         | 153M/1.72G [00:02<00:19, 81.5MB/s]

Downloading:   9%|▉         | 162M/1.72G [00:03<00:22, 68.0MB/s]

Downloading:  10%|▉         | 171M/1.72G [00:03<00:22, 69.5MB/s]

Downloading:  11%|█         | 182M/1.72G [00:03<00:19, 80.0MB/s]

Downloading:  11%|█         | 191M/1.72G [00:03<00:28, 53.7MB/s]

Downloading:  12%|█▏        | 203M/1.72G [00:03<00:23, 64.9MB/s]

Downloading:  12%|█▏        | 211M/1.72G [00:03<00:24, 60.9MB/s]

Downloading:  13%|█▎        | 219M/1.72G [00:03<00:26, 56.4MB/s]

Downloading:  13%|█▎        | 230M/1.72G [00:04<00:22, 67.4MB/s]

Downloading:  14%|█▍        | 238M/1.72G [00:04<00:21, 69.7MB/s]

Downloading:  14%|█▍        | 245M/1.72G [00:04<00:26, 55.9MB/s]

Downloading:  15%|█▍        | 257M/1.72G [00:04<00:21, 68.7MB/s]

Downloading:  15%|█▌        | 265M/1.72G [00:04<00:23, 63.2MB/s]

Downloading:  16%|█▌        | 276M/1.72G [00:04<00:19, 74.9MB/s]

Downloading:  17%|█▋        | 286M/1.72G [00:04<00:17, 80.8MB/s]

Downloading:  17%|█▋        | 295M/1.72G [00:05<00:24, 59.0MB/s]

Downloading:  18%|█▊        | 307M/1.72G [00:05<00:19, 70.9MB/s]

Downloading:  18%|█▊        | 315M/1.72G [00:05<00:20, 67.3MB/s]

Downloading:  19%|█▉        | 324M/1.72G [00:05<00:19, 71.1MB/s]

Downloading:  19%|█▉        | 332M/1.72G [00:05<00:18, 74.8MB/s]

Downloading:  20%|█▉        | 341M/1.72G [00:05<00:18, 74.0MB/s]

Downloading:  20%|██        | 348M/1.72G [00:05<00:24, 57.1MB/s]

Downloading:  21%|██        | 358M/1.72G [00:05<00:20, 66.7MB/s]

Downloading:  21%|██▏       | 366M/1.72G [00:06<00:20, 67.4MB/s]

Downloading:  22%|██▏       | 373M/1.72G [00:06<00:26, 51.8MB/s]

Downloading:  22%|██▏       | 383M/1.72G [00:06<00:22, 58.6MB/s]

Downloading:  23%|██▎       | 393M/1.72G [00:06<00:20, 64.5MB/s]

Downloading:  23%|██▎       | 400M/1.72G [00:06<00:29, 44.9MB/s]

Downloading:  24%|██▎       | 408M/1.72G [00:06<00:25, 50.6MB/s]

Downloading:  24%|██▍       | 418M/1.72G [00:07<00:21, 61.0MB/s]

Downloading:  25%|██▍       | 425M/1.72G [00:07<00:22, 58.3MB/s]

Downloading:  25%|██▌       | 432M/1.72G [00:07<00:23, 54.8MB/s]

Downloading:  26%|██▌       | 441M/1.72G [00:07<00:19, 64.1MB/s]

Downloading:  26%|██▌       | 448M/1.72G [00:07<00:27, 45.7MB/s]

Downloading:  27%|██▋       | 459M/1.72G [00:07<00:22, 56.9MB/s]

Downloading:  27%|██▋       | 469M/1.72G [00:07<00:18, 67.2MB/s]

Downloading:  28%|██▊       | 479M/1.72G [00:08<00:16, 75.8MB/s]

Downloading:  29%|██▊       | 490M/1.72G [00:08<00:14, 84.1MB/s]

Downloading:  29%|██▉       | 502M/1.72G [00:08<00:13, 92.0MB/s]

Downloading:  30%|██▉       | 512M/1.72G [00:08<00:15, 79.6MB/s]

Downloading:  30%|███       | 522M/1.72G [00:08<00:13, 86.6MB/s]

Downloading:  31%|███       | 532M/1.72G [00:08<00:14, 79.2MB/s]

Downloading:  31%|███▏      | 540M/1.72G [00:08<00:14, 81.5MB/s]

Downloading:  32%|███▏      | 549M/1.72G [00:09<00:20, 58.4MB/s]

Downloading:  32%|███▏      | 556M/1.72G [00:09<00:23, 50.0MB/s]

Downloading:  33%|███▎      | 568M/1.72G [00:09<00:18, 63.0MB/s]

Downloading:  34%|███▎      | 576M/1.72G [00:09<00:23, 49.3MB/s]

Downloading:  34%|███▍      | 587M/1.72G [00:09<00:18, 61.0MB/s]

Downloading:  35%|███▍      | 597M/1.72G [00:09<00:16, 69.0MB/s]

Downloading:  35%|███▌      | 606M/1.72G [00:10<00:21, 51.4MB/s]

Downloading:  36%|███▌      | 616M/1.72G [00:10<00:18, 61.3MB/s]

Downloading:  36%|███▋      | 626M/1.72G [00:10<00:15, 68.8MB/s]

Downloading:  37%|███▋      | 634M/1.72G [00:10<00:18, 59.9MB/s]

Downloading:  37%|███▋      | 641M/1.72G [00:10<00:21, 49.4MB/s]

Downloading:  38%|███▊      | 652M/1.72G [00:10<00:17, 60.6MB/s]

Downloading:  38%|███▊      | 659M/1.72G [00:10<00:20, 51.5MB/s]

Downloading:  39%|███▊      | 666M/1.72G [00:11<00:20, 51.9MB/s]

Downloading:  39%|███▉      | 672M/1.72G [00:11<00:20, 51.7MB/s]

Downloading:  39%|███▉      | 677M/1.72G [00:11<00:21, 49.1MB/s]

Downloading:  40%|███▉      | 683M/1.72G [00:11<00:25, 41.2MB/s]

Downloading:  40%|████      | 693M/1.72G [00:11<00:18, 54.6MB/s]

Downloading:  41%|████      | 703M/1.72G [00:11<00:15, 66.1MB/s]

Downloading:  41%|████▏     | 712M/1.72G [00:11<00:14, 71.8MB/s]

Downloading:  42%|████▏     | 720M/1.72G [00:11<00:14, 70.8MB/s]

Downloading:  42%|████▏     | 727M/1.72G [00:12<00:15, 65.4MB/s]

Downloading:  43%|████▎     | 736M/1.72G [00:12<00:14, 69.4MB/s]

Downloading:  43%|████▎     | 743M/1.72G [00:12<00:14, 68.7MB/s]

Downloading:  44%|████▍     | 753M/1.72G [00:12<00:12, 78.7MB/s]

Downloading:  44%|████▍     | 762M/1.72G [00:12<00:14, 66.0MB/s]

Downloading:  45%|████▍     | 769M/1.72G [00:12<00:20, 46.5MB/s]

Downloading:  45%|████▌     | 777M/1.72G [00:12<00:17, 54.6MB/s]

Downloading:  46%|████▌     | 784M/1.72G [00:13<00:16, 57.1MB/s]

Downloading:  46%|████▌     | 791M/1.72G [00:13<00:18, 51.1MB/s]

Downloading:  46%|████▋     | 798M/1.72G [00:13<00:16, 54.6MB/s]

Downloading:  47%|████▋     | 809M/1.72G [00:13<00:13, 69.6MB/s]

Downloading:  48%|████▊     | 817M/1.72G [00:13<00:12, 70.2MB/s]

Downloading:  48%|████▊     | 824M/1.72G [00:13<00:12, 70.3MB/s]

Downloading:  49%|████▊     | 835M/1.72G [00:13<00:10, 81.1MB/s]

Downloading:  49%|████▉     | 844M/1.72G [00:14<00:15, 55.4MB/s]

Downloading:  49%|████▉     | 851M/1.72G [00:14<00:16, 52.4MB/s]

Downloading:  50%|█████     | 861M/1.72G [00:14<00:13, 62.1MB/s]

Downloading:  50%|█████     | 868M/1.72G [00:14<00:16, 53.1MB/s]

Downloading:  51%|█████     | 874M/1.72G [00:14<00:17, 47.9MB/s]

Downloading:  51%|█████▏    | 884M/1.72G [00:14<00:14, 58.8MB/s]

Downloading:  52%|█████▏    | 891M/1.72G [00:14<00:18, 45.8MB/s]

Downloading:  52%|█████▏    | 900M/1.72G [00:15<00:14, 55.8MB/s]

Downloading:  53%|█████▎    | 909M/1.72G [00:15<00:12, 63.0MB/s]

Downloading:  53%|█████▎    | 917M/1.72G [00:15<00:17, 45.6MB/s]

Downloading:  54%|█████▍    | 926M/1.72G [00:15<00:14, 52.9MB/s]

Downloading:  55%|█████▍    | 937M/1.72G [00:15<00:12, 63.9MB/s]

Downloading:  55%|█████▍    | 945M/1.72G [00:16<00:17, 43.2MB/s]

Downloading:  56%|█████▌    | 955M/1.72G [00:16<00:14, 53.0MB/s]

Downloading:  56%|█████▌    | 965M/1.72G [00:16<00:11, 63.5MB/s]

Downloading:  57%|█████▋    | 974M/1.72G [00:16<00:13, 53.5MB/s]

Downloading:  57%|█████▋    | 985M/1.72G [00:16<00:11, 66.5MB/s]

Downloading:  58%|█████▊    | 995M/1.72G [00:16<00:11, 65.8MB/s]

Downloading:  58%|█████▊    | 1.01G/1.72G [00:16<00:10, 68.2MB/s]

Downloading:  59%|█████▉    | 1.02G/1.72G [00:16<00:09, 75.6MB/s]

Downloading:  60%|█████▉    | 1.02G/1.72G [00:17<00:09, 70.9MB/s]

Downloading:  60%|█████▉    | 1.03G/1.72G [00:17<00:13, 52.0MB/s]

Downloading:  61%|██████    | 1.04G/1.72G [00:17<00:11, 60.4MB/s]

Downloading:  61%|██████    | 1.05G/1.72G [00:17<00:10, 64.0MB/s]
Fetching 15 files:  80%|████████  | 12/15 [00:29<00:02,  1.45it/s]

Downloading:  61%|██████▏   | 1.06G/1.72G [00:17<00:10, 63.9MB/s]

Downloading:  62%|██████▏   | 1.06G/1.72G [00:17<00:09, 68.7MB/s]

Downloading:  62%|██████▏   | 1.07G/1.72G [00:17<00:11, 55.1MB/s]

Downloading:  63%|██████▎   | 1.08G/1.72G [00:18<00:11, 54.7MB/s]

Downloading:  63%|██████▎   | 1.08G/1.72G [00:18<00:11, 53.3MB/s]

Downloading:  64%|██████▎   | 1.09G/1.72G [00:18<00:09, 63.4MB/s]

Downloading:  64%|██████▍   | 1.10G/1.72G [00:18<00:21, 28.7MB/s]

Downloading:  65%|██████▍   | 1.11G/1.72G [00:18<00:15, 38.2MB/s]

Downloading:  65%|██████▌   | 1.12G/1.72G [00:19<00:12, 49.3MB/s]

Downloading:  66%|██████▌   | 1.13G/1.72G [00:19<00:16, 36.5MB/s]

Downloading:  66%|██████▌   | 1.14G/1.72G [00:19<00:12, 47.0MB/s]

Downloading:  67%|██████▋   | 1.15G/1.72G [00:19<00:09, 57.5MB/s]

Downloading:  67%|██████▋   | 1.16G/1.72G [00:19<00:08, 63.4MB/s]

Downloading:  68%|██████▊   | 1.17G/1.72G [00:19<00:07, 72.7MB/s]

Downloading:  69%|██████▊   | 1.18G/1.72G [00:19<00:06, 81.1MB/s]

Downloading:  69%|██████▉   | 1.19G/1.72G [00:20<00:06, 83.1MB/s]

Downloading:  70%|██████▉   | 1.20G/1.72G [00:20<00:05, 88.9MB/s]

Downloading:  70%|███████   | 1.21G/1.72G [00:20<00:11, 46.1MB/s]

Downloading:  71%|███████   | 1.22G/1.72G [00:20<00:09, 53.3MB/s]

Downloading:  71%|███████▏  | 1.23G/1.72G [00:20<00:08, 61.2MB/s]

Downloading:  72%|███████▏  | 1.23G/1.72G [00:20<00:07, 61.4MB/s]

Downloading:  72%|███████▏  | 1.24G/1.72G [00:21<00:06, 70.6MB/s]

Downloading:  73%|███████▎  | 1.26G/1.72G [00:21<00:05, 78.5MB/s]

Downloading:  74%|███████▎  | 1.26G/1.72G [00:21<00:06, 72.0MB/s]

Downloading:  74%|███████▍  | 1.27G/1.72G [00:21<00:06, 69.0MB/s]

Downloading:  75%|███████▍  | 1.28G/1.72G [00:21<00:05, 74.5MB/s]

Downloading:  75%|███████▌  | 1.29G/1.72G [00:21<00:07, 60.1MB/s]

Downloading:  76%|███████▌  | 1.30G/1.72G [00:21<00:06, 69.7MB/s]

Downloading:  76%|███████▌  | 1.31G/1.72G [00:21<00:06, 65.0MB/s]

Downloading:  77%|███████▋  | 1.32G/1.72G [00:22<00:05, 71.6MB/s]

Downloading:  77%|███████▋  | 1.33G/1.72G [00:22<00:04, 79.1MB/s]

Downloading:  78%|███████▊  | 1.34G/1.72G [00:22<00:06, 62.1MB/s]

Downloading:  78%|███████▊  | 1.35G/1.72G [00:22<00:05, 71.1MB/s]

Downloading:  79%|███████▉  | 1.36G/1.72G [00:22<00:04, 79.3MB/s]

Downloading:  80%|███████▉  | 1.37G/1.72G [00:22<00:07, 47.5MB/s]

Downloading:  80%|███████▉  | 1.37G/1.72G [00:23<00:07, 43.8MB/s]

Downloading:  81%|████████  | 1.38G/1.72G [00:23<00:06, 54.0MB/s]

Downloading:  81%|████████  | 1.39G/1.72G [00:23<00:12, 25.8MB/s]

Downloading:  82%|████████▏ | 1.40G/1.72G [00:24<00:08, 35.4MB/s]

Downloading:  82%|████████▏ | 1.41G/1.72G [00:24<00:06, 44.2MB/s]

Downloading:  83%|████████▎ | 1.42G/1.72G [00:24<00:06, 43.3MB/s]

Downloading:  83%|████████▎ | 1.43G/1.72G [00:24<00:06, 42.2MB/s]

Downloading:  84%|████████▎ | 1.44G/1.72G [00:24<00:05, 53.4MB/s]

Downloading:  84%|████████▍ | 1.44G/1.72G [00:24<00:05, 52.5MB/s]

Downloading:  85%|████████▍ | 1.45G/1.72G [00:24<00:04, 61.7MB/s]

Downloading:  85%|████████▌ | 1.46G/1.72G [00:24<00:03, 69.5MB/s]

Downloading:  86%|████████▌ | 1.47G/1.72G [00:25<00:03, 65.5MB/s]

Downloading:  86%|████████▌ | 1.48G/1.72G [00:25<00:03, 71.7MB/s]

Downloading:  87%|████████▋ | 1.49G/1.72G [00:25<00:02, 79.4MB/s]

Downloading:  87%|████████▋ | 1.50G/1.72G [00:25<00:04, 54.6MB/s]

Downloading:  88%|████████▊ | 1.51G/1.72G [00:25<00:03, 62.2MB/s]

Downloading:  88%|████████▊ | 1.52G/1.72G [00:25<00:02, 70.8MB/s]

Downloading:  89%|████████▉ | 1.53G/1.72G [00:26<00:03, 52.6MB/s]

Downloading:  89%|████████▉ | 1.54G/1.72G [00:26<00:02, 63.5MB/s]

Downloading:  90%|████████▉ | 1.55G/1.72G [00:26<00:02, 60.1MB/s]

Downloading:  90%|█████████ | 1.55G/1.72G [00:26<00:02, 62.5MB/s]

Downloading:  91%|█████████ | 1.56G/1.72G [00:26<00:02, 70.3MB/s]

Downloading:  91%|█████████▏| 1.57G/1.72G [00:26<00:02, 66.1MB/s]

Downloading:  92%|█████████▏| 1.58G/1.72G [00:26<00:01, 73.6MB/s]

Downloading:  93%|█████████▎| 1.59G/1.72G [00:26<00:01, 82.4MB/s]

Downloading:  93%|█████████▎| 1.60G/1.72G [00:27<00:01, 66.2MB/s]

Downloading:  94%|█████████▎| 1.61G/1.72G [00:27<00:01, 67.4MB/s]

Downloading:  94%|█████████▍| 1.62G/1.72G [00:27<00:01, 74.5MB/s]

Downloading:  95%|█████████▍| 1.63G/1.72G [00:27<00:01, 61.1MB/s]

Downloading:  95%|█████████▌| 1.64G/1.72G [00:27<00:01, 68.0MB/s]

Downloading:  96%|█████████▌| 1.65G/1.72G [00:27<00:00, 78.6MB/s]

Downloading:  96%|█████████▋| 1.65G/1.72G [00:27<00:01, 61.9MB/s]

Downloading:  97%|█████████▋| 1.67G/1.72G [00:28<00:00, 72.1MB/s]

Downloading:  98%|█████████▊| 1.68G/1.72G [00:28<00:00, 68.9MB/s]

Downloading:  98%|█████████▊| 1.68G/1.72G [00:28<00:00, 63.0MB/s]

Downloading:  99%|█████████▊| 1.69G/1.72G [00:28<00:00, 72.0MB/s]

Downloading:  99%|█████████▉| 1.70G/1.72G [00:28<00:00, 72.0MB/s]

Downloading:  99%|█████████▉| 1.71G/1.72G [00:28<00:00, 61.5MB/s]

Downloading: 100%|█████████▉| 1.72G/1.72G [00:28<00:00, 66.4MB/s]
Downloading: 100%|██████████| 1.72G/1.72G [00:28<00:00, 59.6MB/s]

Fetching 15 files:  87%|████████▋ | 13/15 [00:41<00:11,  5.52s/it]

Downloading:   0%|          | 0.00/598 [00:00<?, ?B/s]
Downloading: 100%|██████████| 598/598 [00:00<00:00, 1.53MB/s]


Downloading:   0%|          | 0.00/167M [00:00<?, ?B/s]

Downloading:   5%|▌         | 9.10M/167M [00:00<00:01, 90.9MB/s]

Downloading:  12%|█▏        | 20.6M/167M [00:00<00:01, 105MB/s] 

Downloading:  19%|█▉        | 32.5M/167M [00:00<00:01, 111MB/s]

Downloading:  26%|██▋       | 44.3M/167M [00:00<00:01, 114MB/s]

Downloading:  33%|███▎      | 55.8M/167M [00:00<00:00, 114MB/s]

Downloading:  40%|████      | 67.8M/167M [00:00<00:00, 116MB/s]

Downloading:  47%|████▋     | 79.4M/167M [00:00<00:00, 94.8MB/s]

Downloading:  55%|█████▍    | 91.2M/167M [00:00<00:00, 101MB/s] 

Downloading:  62%|██████▏   | 103M/167M [00:00<00:00, 107MB/s] 

Downloading:  68%|██████▊   | 114M/167M [00:01<00:00, 91.0MB/s]

Downloading:  75%|███████▌  | 126M/167M [00:01<00:00, 98.2MB/s]

Downloading:  82%|████████▏ | 137M/167M [00:01<00:00, 101MB/s] 

Downloading:  89%|████████▉ | 149M/167M [00:01<00:00, 106MB/s]

Downloading:  96%|█████████▌| 160M/167M [00:01<00:00, 98.3MB/s]
Downloading: 100%|██████████| 167M/167M [00:01<00:00, 103MB/s] 

Fetching 15 files: 100%|██████████| 15/15 [00:42<00:00,  4.00s/it]
Fetching 15 files: 100%|██████████| 15/15 [00:42<00:00,  2.87s/it]
You have disabled the safety checker for <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_instruct_pix2pix.StableDiffusionInstructPix2PixPipeline'> by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 .
╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /home/user/app/app.py:14 in <module>                                         │
│                                                                              │
│    11 #Loading from Diffusers Library                                        │
│    12 model_id = "timbrooks/instruct-pix2pix"                                │
│    13 pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(model_id │
│ ❱  14 pipe.to("cuda")                                                        │
│    15 #pipe.enable_attention_slicing()                                       │
│    16 pipe.enable_xformers_memory_efficient_attention()                      │
│    17 pipe.unet.to(memory_format=torch.channels_last)                        │
│                                                                              │
│ /home/user/.local/lib/python3.8/site-packages/diffusers/pipelines/pipeline_u │
│ tils.py:272 in to                                                            │
│                                                                              │
│   269 │   │   │   │   │   │   " support for`float16` operations on this devi │
│   270 │   │   │   │   │   │   " `torch_dtype=torch.float16` argument, or use │
│   271 │   │   │   │   │   )                                                  │
│ ❱ 272 │   │   │   │   module.to(torch_device)                                │
│   273 │   │   return self                                                    │
│   274 │                                                                      │
│   275 │   @property                                                          │
│                                                                              │
│ /home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py:989 │
│ in to                                                                        │
│                                                                              │
│    986 │   │   │   │   │   │   │   non_blocking, memory_format=convert_to_fo │
│    987 │   │   │   return t.to(device, dtype if t.is_floating_point() or t.i │
│    988 │   │                                                                 │
│ ❱  989 │   │   return self._apply(convert)                                   │
│    990 │                                                                     │
│    991 │   def register_backward_hook(                                       │
│    992 │   │   self, hook: Callable[['Module', _grad_t, _grad_t], Union[None │
│                                                                              │
│ /home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py:641 │
│ in _apply                                                                    │
│                                                                              │
│    638 │                                                                     │
│    639 │   def _apply(self, fn):                                             │
│    640 │   │   for module in self.children():                                │
│ ❱  641 │   │   │   module._apply(fn)                                         │
│    642 │   │                                                                 │
│    643 │   │   def compute_should_use_set_data(tensor, tensor_applied):      │
│    644 │   │   │   if torch._has_compatible_shallow_copy_type(tensor, tensor │
│                                                                              │
│ /home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py:641 │
│ in _apply                                                                    │
│                                                                              │
│    638 │                                                                     │
│    639 │   def _apply(self, fn):                                             │
│    640 │   │   for module in self.children():                                │
│ ❱  641 │   │   │   module._apply(fn)                                         │
│    642 │   │                                                                 │
│    643 │   │   def compute_should_use_set_data(tensor, tensor_applied):      │
│    644 │   │   │   if torch._has_compatible_shallow_copy_type(tensor, tensor │
│                                                                              │
│ /home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py:664 │
│ in _apply                                                                    │
│                                                                              │
│    661 │   │   │   # track autograd history of `param_applied`, so we have t │
│    662 │   │   │   # `with torch.no_grad():`                                 │
│    663 │   │   │   with torch.no_grad():                                     │
│ ❱  664 │   │   │   │   param_applied = fn(param)                             │
│    665 │   │   │   should_use_set_data = compute_should_use_set_data(param,  │
│    666 │   │   │   if should_use_set_data:                                   │
│    667 │   │   │   │   param.data = param_applied                            │
│                                                                              │
│ /home/user/.local/lib/python3.8/site-packages/torch/nn/modules/module.py:987 │
│ in convert                                                                   │
│                                                                              │
│    984 │   │   │   if convert_to_format is not None and t.dim() in (4, 5):   │
│    985 │   │   │   │   return t.to(device, dtype if t.is_floating_point() or │
│    986 │   │   │   │   │   │   │   non_blocking, memory_format=convert_to_fo │
│ ❱  987 │   │   │   return t.to(device, dtype if t.is_floating_point() or t.i │
│    988 │   │                                                                 │
│    989 │   │   return self._apply(convert)                                   │
│    990                                                                       │
│                                                                              │
│ /home/user/.local/lib/python3.8/site-packages/torch/cuda/__init__.py:229 in  │
│ _lazy_init                                                                   │
│                                                                              │
│   226 │   │   # are found or any other error occurs                          │
│   227 │   │   if 'CUDA_MODULE_LOADING' not in os.environ:                    │
│   228 │   │   │   os.environ['CUDA_MODULE_LOADING'] = 'LAZY'                 │
│ ❱ 229 │   │   torch._C._cuda_init()                                          │
│   230 │   │   # Some of the queued calls may reentrantly call _lazy_init();  │
│   231 │   │   # we need to just return without initializing in that case.    │
│   232 │   │   # However, we must not let any *other* threads in!             │
╰──────────────────────────────────────────────────────────────────────────────╯
RuntimeError: Found no NVIDIA driver on your system. Please check that you have 
an NVIDIA GPU and installed a driver from 
http://www.nvidia.com/Download/index.aspx