{
  "completed_at": "2022-07-26T15:06:02.303289Z",
  "created_at": "2022-07-26T15:01:50.303671Z",
  "data_removed": false,
  "error": null,
  "id": "ziyebr5lqvagdfrkzwqeaoxahy",
  "input": {
    "width": 640,
    "height": 768,
    "clip_scale": 16000,
    "clip_prompts": "The visual style of the image is akin to a retro 8-bit look, with clean lines and flat colors. There is a cartoonish quality to some of the characters and objects, as if they are depictions of vaporwave tropes or influences.",
    "latent_scale": 12,
    "latent_prompt": "vaporwave princess",
    "aesthetic_loss_scale": 400
  },
  "logs": "Sampling images 1/1\n\nData shape for DDIM sampling is (1, 4, 48, 40), eta 1.3\nRunning DDIM Sampling with 119 timesteps\nSampling:   0%|          | 0/1 [00:00<?, ?it/s]\n\nDDIM Sampler:   0%|          | 0/119 [00:00<?, ?it/s]\u001b[A\n\nDDIM Sampler:   1%|          | 1/119 [00:11<22:48, 11.59s/it]\u001b[A\n\nDDIM Sampler:   2%|▏         | 2/119 [00:12<10:03,  5.16s/it]\u001b[A\n\nDDIM Sampler:   3%|▎         | 3/119 [00:12<05:59,  3.10s/it]\u001b[A\n\nDDIM Sampler:   3%|▎         | 4/119 [00:13<04:04,  2.13s/it]\u001b[A\n\nDDIM Sampler:   4%|▍         | 5/119 [00:14<03:00,  1.58s/it]\u001b[A\n\nDDIM Sampler:   5%|▌         | 6/119 [00:14<02:23,  1.27s/it]\u001b[A\n\nDDIM Sampler:   6%|▌         | 7/119 [00:15<01:59,  1.07s/it]\u001b[A\n\nDDIM Sampler:   7%|▋         | 8/119 [00:16<01:43,  1.07it/s]\u001b[A\n\nDDIM Sampler:   8%|▊         | 9/119 [00:16<01:31,  1.21it/s]\u001b[A\n\nDDIM Sampler:   8%|▊         | 10/119 [00:17<01:23,  1.30it/s]\u001b[A\n\nDDIM Sampler:   9%|▉ 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1.51it/s]\u001b[A\n\nDDIM Sampler: 100%|██████████| 119/119 [01:27<00:00,  1.51it/s]\u001b[A\nDDIM Sampler: 100%|██████████| 119/119 [01:27<00:00,  1.35it/s]\npython inference_gfpgan.py -i /tmp/tmprqvpx06_gfpgan/temp_1658847856.png -o results -v 1.3 -s 2\n\nhuggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\nTo disable this warning, you can either:\n\t- Avoid using `tokenizers` before the fork if possible\n\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\nDownloading: \"https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth\" to /root/.pyenv/versions/3.8.13/lib/python3.8/site-packages/realesrgan/weights/RealESRGAN_x2plus.pth\n\n\n  0%|          | 0.00/64.0M [00:00<?, ?B/s]\n 16%|█▌        | 10.1M/64.0M [00:00<00:00, 106MB/s]\n 58%|█████▊    | 37.1M/64.0M [00:00<00:00, 210MB/s]\n100%|█████████▉| 63.8M/64.0M [00:00<00:00, 242MB/s]\n100%|██████████| 64.0M/64.0M [00:00<00:00, 223MB/s]\nProcessing temp_1658847856.png ...\n\tTile 1/1\nResults are in the [results] folder.\nData shape for DDIM sampling is (1, 4, 48, 40), eta 1.1\nRunning DDIM Sampling with 74 timesteps\n\n\nDDIM Sampler:   0%|          | 0/74 [00:00<?, ?it/s]\u001b[A\n\nDDIM Sampler:   1%|▏         | 1/74 [00:09<11:30,  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Sampler:  95%|█████████▍| 70/74 [01:24<00:04,  1.10s/it]\u001b[A\n\nDDIM Sampler:  96%|█████████▌| 71/74 [01:25<00:03,  1.11s/it]\u001b[A\n\nDDIM Sampler:  97%|█████████▋| 72/74 [01:26<00:02,  1.11s/it]\u001b[A\n\nDDIM Sampler:  99%|█████████▊| 73/74 [01:27<00:01,  1.11s/it]\u001b[A\n\nDDIM Sampler: 100%|██████████| 74/74 [01:28<00:00,  1.11s/it]\u001b[A\nDDIM Sampler: 100%|██████████| 74/74 [01:28<00:00,  1.20s/it]\n\nSampling: 100%|██████████| 1/1 [03:14<00:00, 194.40s/it]\nSampling: 100%|██████████| 1/1 [03:14<00:00, 194.40s/it]",
  "metrics": {
    "predict_time": 195.271336,
    "total_time": 251.999618
  },
  "output": [
    "https://replicate.delivery/mgxm/05c51477-135f-4bf5-8347-71ef182e444f/0.png",
    "https://replicate.delivery/mgxm/44c843b4-c91a-43a2-a34a-82413ae01556/10.png",
    "https://replicate.delivery/mgxm/465b41cb-ace8-4f2b-ac33-b18205ad8b47/20.png",
    "https://replicate.delivery/mgxm/2e55d006-9e01-4f96-a55b-7b8f7a51a405/30.png",
    "https://replicate.delivery/mgxm/ec799994-5cf9-45a4-a5da-0dc8492dbc21/40.png",
    "https://replicate.delivery/mgxm/892673a8-30c1-4de3-81d2-817d43c23c85/50.png",
    "https://replicate.delivery/mgxm/7a9a13c5-f575-445f-a967-8e7d93805ea9/60.png",
    "https://replicate.delivery/mgxm/83afa9a1-df65-4306-b9f3-e0060b507e50/70.png",
    "https://replicate.delivery/mgxm/5475a2e9-f8df-4575-b3d9-27d2845c1767/80.png",
    "https://replicate.delivery/mgxm/e48ab18e-7a1e-42ec-baa4-405e5ca13a18/90.png",
    "https://replicate.delivery/mgxm/390bd57f-94e2-4070-97cb-1d0371878cc8/100.png",
    "https://replicate.delivery/mgxm/791567d3-e994-45ab-afdc-56aa8c73e601/110.png",
    "https://replicate.delivery/mgxm/5a8297cd-2da5-463d-8e30-a36dc3d8b97a/120.png",
    "https://replicate.delivery/mgxm/9326daeb-8302-4d88-872d-3a12e4c82c7a/130.png",
    "https://replicate.delivery/mgxm/b995b6b5-e030-4c1b-906f-786d6379b699/140.png",
    "https://replicate.delivery/mgxm/c75d995c-3234-4281-b9bd-67efac64f484/150.png",
    "https://replicate.delivery/mgxm/4de3c739-de10-4c99-9d28-eec0c5cffc0a/160.png",
    "https://replicate.delivery/mgxm/6fbde938-897a-4d32-9390-0f05873de607/170.png",
    "https://replicate.delivery/mgxm/2ce0cb66-ff04-4c00-8090-b991a0342059/180.png",
    "https://replicate.delivery/mgxm/5d538fbb-a119-4a13-9d4f-ebde6bee3ed3/190.png",
    "https://replicate.delivery/mgxm/b95b22ef-54d0-4248-94ef-268635aac529/1658847957.png"
  ],
  "started_at": "2022-07-26T15:02:47.031953Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ziyebr5lqvagdfrkzwqeaoxahy",
    "cancel": "https://api.replicate.com/v1/predictions/ziyebr5lqvagdfrkzwqeaoxahy/cancel"
  },
  "version": "73bfb38ec5c159e3dcbe2dc69d2db245c1cc07a94377829c49dded3a7ddb7e3a"
}