{
  "completed_at": "2023-10-12T12:50:32.973606Z",
  "created_at": "2023-10-12T12:49:17.922019Z",
  "data_removed": false,
  "error": null,
  "id": "bmqkjzlb4dtxi3plebcqg6sffu",
  "input": {
    "seed": 231,
    "input": "https://replicate.delivery/pbxt/JgdLVwRXXl4oaGqmF4Wdl7vOapnTlay32dE7B3UNgxSwylvQ/Audrey_Hepburn.jpg",
    "steps": 50,
    "tiled": false,
    "tile_size": 512,
    "has_aligned": false,
    "tile_stride": 256,
    "repeat_times": 1,
    "use_guidance": false,
    "color_fix_type": "wavelet",
    "guidance_scale": 0,
    "guidance_space": "latent",
    "guidance_repeat": 5,
    "only_center_face": false,
    "guidance_time_stop": -1,
    "guidance_time_start": 1001,
    "background_upsampler": "DiffBIR",
    "face_detection_model": "retinaface_resnet50",
    "upscaling_model_type": "faces",
    "restoration_model_type": "general_scenes",
    "super_resolution_factor": 2,
    "disable_preprocess_model": false,
    "reload_restoration_model": false,
    "background_upsampler_tile": 400,
    "background_upsampler_tile_stride": 400
  },
  "logs": "ckptckptckpt weights/face_full_v1.ckpt\nSwitching from mode 'FULL' to 'FACE'...\nBuilding and loading 'FACE' mode model...\nControlLDM: Running in eps-prediction mode\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nDiffusionWrapper has 865.91 M params.\nmaking attention of type 'vanilla-xformers' with 512 in_channels\nbuilding MemoryEfficientAttnBlock with 512 in_channels...\nWorking with z of shape (1, 4, 32, 32) = 4096 dimensions.\nmaking attention of type 'vanilla-xformers' with 512 in_channels\nbuilding MemoryEfficientAttnBlock with 512 in_channels...\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off]\nLoading model from: /root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/lpips/weights/v0.1/alex.pth\nreload swinir model from weights/general_swinir_v1.ckpt\nENABLE XFORMERS!\nModel successfully switched to 'FACE' mode.\n{'bg_tile': 400,\n'bg_tile_stride': 400,\n'bg_upsampler': 'DiffBIR',\n'ckpt': 'weights/face_full_v1.ckpt',\n'color_fix_type': 'wavelet',\n'config': 'configs/model/cldm.yaml',\n'detection_model': 'retinaface_resnet50',\n'device': 'cuda',\n'disable_preprocess_model': False,\n'g_repeat': 5,\n'g_scale': 0.0,\n'g_space': 'latent',\n'g_t_start': 1001,\n'g_t_stop': -1,\n'has_aligned': False,\n'image_size': 512,\n'input': '/tmp/tmpwg3l1z7wAudrey_Hepburn.jpg',\n'only_center_face': False,\n'output': '.',\n'reload_swinir': False,\n'repeat_times': 1,\n'seed': 231,\n'show_lq': False,\n'skip_if_exist': False,\n'sr_scale': 2,\n'steps': 50,\n'swinir_ckpt': 'weights/general_swinir_v1.ckpt',\n'tile_size': 512,\n'tile_stride': 256,\n'tiled': False,\n'use_guidance': False}\nGlobal seed set to 231\n/root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`.\nwarnings.warn(msg)\nDownloading: \"https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth\" to /root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/facexlib/weights/detection_Resnet50_Final.pth\n  0%|          | 0.00/104M [00:00<?, ?B/s]\n 37%|███▋      | 38.6M/104M [00:00<00:00, 405MB/s]\n 76%|███████▋  | 79.8M/104M [00:00<00:00, 421MB/s]\n100%|██████████| 104M/104M [00:00<00:00, 423MB/s]\nDownloading: \"https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth\" to /root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/facexlib/weights/parsing_parsenet.pth\n  0%|          | 0.00/81.4M [00:00<?, ?B/s]\n 37%|███▋      | 30.4M/81.4M [00:00<00:00, 319MB/s]\n 87%|████████▋ | 70.5M/81.4M [00:00<00:00, 378MB/s]\n100%|██████████| 81.4M/81.4M [00:00<00:00, 378MB/s]\nControlLDM: Running in eps-prediction mode\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nDiffusionWrapper has 865.91 M params.\nmaking attention of type 'vanilla-xformers' with 512 in_channels\nbuilding MemoryEfficientAttnBlock with 512 in_channels...\nWorking with z of shape (1, 4, 32, 32) = 4096 dimensions.\nmaking attention of type 'vanilla-xformers' with 512 in_channels\nbuilding MemoryEfficientAttnBlock with 512 in_channels...\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off]\nLoading model from: /root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/lpips/weights/v0.1/alex.pth\nreload swinir model from weights/general_swinir_v1.ckpt\ntimesteps used in spaced sampler:\n[0, 20, 41, 61, 82, 102, 122, 143, 163, 183, 204, 224, 245, 265, 285, 306, 326, 347, 367, 387, 408, 428, 449, 469, 489, 510, 530, 550, 571, 591, 612, 632, 652, 673, 693, 714, 734, 754, 775, 795, 816, 836, 856, 877, 897, 917, 938, 958, 979, 999]\nSpaced Sampler:   0%|          | 0/50 [00:00<?, ?it/s]\nSpaced Sampler:   2%|▏         | 1/50 [00:00<00:10,  4.82it/s]\nSpaced Sampler:   6%|▌         | 3/50 [00:00<00:05,  8.76it/s]\nSpaced Sampler:  10%|█         | 5/50 [00:00<00:04, 10.31it/s]\nSpaced Sampler:  14%|█▍        | 7/50 [00:00<00:03, 11.08it/s]\nSpaced Sampler:  18%|█▊        | 9/50 [00:00<00:03, 11.51it/s]\nSpaced Sampler:  22%|██▏       | 11/50 [00:01<00:03, 11.78it/s]\nSpaced Sampler:  26%|██▌       | 13/50 [00:01<00:03, 11.95it/s]\nSpaced Sampler:  30%|███       | 15/50 [00:01<00:02, 12.06it/s]\nSpaced Sampler:  34%|███▍      | 17/50 [00:01<00:02, 12.11it/s]\nSpaced Sampler:  38%|███▊      | 19/50 [00:01<00:02, 12.16it/s]\nSpaced Sampler:  42%|████▏     | 21/50 [00:01<00:02, 12.20it/s]\nSpaced Sampler:  46%|████▌     | 23/50 [00:01<00:02, 12.23it/s]\nSpaced Sampler:  50%|█████     | 25/50 [00:02<00:02, 12.25it/s]\nSpaced Sampler:  54%|█████▍    | 27/50 [00:02<00:01, 12.27it/s]\nSpaced Sampler:  58%|█████▊    | 29/50 [00:02<00:01, 12.26it/s]\nSpaced Sampler:  62%|██████▏   | 31/50 [00:02<00:01, 12.25it/s]\nSpaced Sampler:  66%|██████▌   | 33/50 [00:02<00:01, 12.25it/s]\nSpaced Sampler:  70%|███████   | 35/50 [00:02<00:01, 12.26it/s]\nSpaced Sampler:  74%|███████▍  | 37/50 [00:03<00:01, 12.27it/s]\nSpaced Sampler:  78%|███████▊  | 39/50 [00:03<00:00, 12.27it/s]\nSpaced Sampler:  82%|████████▏ | 41/50 [00:03<00:00, 12.26it/s]\nSpaced Sampler:  86%|████████▌ | 43/50 [00:03<00:00, 12.24it/s]\nSpaced Sampler:  90%|█████████ | 45/50 [00:03<00:00, 12.24it/s]\nSpaced Sampler:  94%|█████████▍| 47/50 [00:03<00:00, 12.24it/s]\nSpaced Sampler:  98%|█████████▊| 49/50 [00:04<00:00, 12.25it/s]\nSpaced Sampler: 100%|██████████| 50/50 [00:04<00:00, 11.91it/s]\nupsampling the background image using DiffBIR...\ntimesteps used in spaced sampler:\n[0, 20, 41, 61, 82, 102, 122, 143, 163, 183, 204, 224, 245, 265, 285, 306, 326, 347, 367, 387, 408, 428, 449, 469, 489, 510, 530, 550, 571, 591, 612, 632, 652, 673, 693, 714, 734, 754, 775, 795, 816, 836, 856, 877, 897, 917, 938, 958, 979, 999]\nSpaced Sampler:   0%|          | 0/50 [00:00<?, ?it/s]\nSpaced Sampler:   2%|▏         | 1/50 [00:00<00:44,  1.11it/s]\nSpaced Sampler:   4%|▍         | 2/50 [00:01<00:28,  1.67it/s]\nSpaced Sampler:   6%|▌         | 3/50 [00:01<00:23,  1.98it/s]\nSpaced Sampler:   8%|▊         | 4/50 [00:02<00:21,  2.18it/s]\nSpaced Sampler:  10%|█         | 5/50 [00:02<00:19,  2.30it/s]\nSpaced Sampler:  12%|█▏        | 6/50 [00:02<00:18,  2.38it/s]\nSpaced Sampler:  14%|█▍        | 7/50 [00:03<00:17,  2.44it/s]\nSpaced Sampler:  16%|█▌        | 8/50 [00:03<00:16,  2.48it/s]\nSpaced Sampler:  18%|█▊        | 9/50 [00:04<00:16,  2.51it/s]\nSpaced Sampler:  20%|██        | 10/50 [00:04<00:15,  2.53it/s]\nSpaced Sampler:  22%|██▏       | 11/50 [00:04<00:15,  2.54it/s]\nSpaced Sampler:  24%|██▍       | 12/50 [00:05<00:14,  2.55it/s]\nSpaced Sampler:  26%|██▌       | 13/50 [00:05<00:14,  2.55it/s]\nSpaced Sampler:  28%|██▊       | 14/50 [00:05<00:14,  2.56it/s]\nSpaced Sampler:  30%|███       | 15/50 [00:06<00:13,  2.56it/s]\nSpaced Sampler:  32%|███▏      | 16/50 [00:06<00:13,  2.56it/s]\nSpaced Sampler:  34%|███▍      | 17/50 [00:07<00:12,  2.56it/s]\nSpaced Sampler:  36%|███▌      | 18/50 [00:07<00:12,  2.56it/s]\nSpaced Sampler:  38%|███▊      | 19/50 [00:07<00:12,  2.56it/s]\nSpaced Sampler:  40%|████      | 20/50 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2.56it/s]\nSpaced Sampler:  72%|███████▏  | 36/50 [00:14<00:05,  2.55it/s]\nSpaced Sampler:  74%|███████▍  | 37/50 [00:14<00:05,  2.56it/s]\nSpaced Sampler:  76%|███████▌  | 38/50 [00:15<00:04,  2.55it/s]\nSpaced Sampler:  78%|███████▊  | 39/50 [00:15<00:04,  2.55it/s]\nSpaced Sampler:  80%|████████  | 40/50 [00:16<00:03,  2.55it/s]\nSpaced Sampler:  82%|████████▏ | 41/50 [00:16<00:03,  2.55it/s]\nSpaced Sampler:  84%|████████▍ | 42/50 [00:16<00:03,  2.55it/s]\nSpaced Sampler:  86%|████████▌ | 43/50 [00:17<00:02,  2.55it/s]\nSpaced Sampler:  88%|████████▊ | 44/50 [00:17<00:02,  2.55it/s]\nSpaced Sampler:  90%|█████████ | 45/50 [00:18<00:01,  2.55it/s]\nSpaced Sampler:  92%|█████████▏| 46/50 [00:18<00:01,  2.55it/s]\nSpaced Sampler:  94%|█████████▍| 47/50 [00:18<00:01,  2.55it/s]\nSpaced Sampler:  96%|█████████▌| 48/50 [00:19<00:00,  2.55it/s]\nSpaced Sampler:  98%|█████████▊| 49/50 [00:19<00:00,  2.55it/s]\nSpaced Sampler: 100%|██████████| 50/50 [00:20<00:00,  2.55it/s]\nSpaced Sampler: 100%|██████████| 50/50 [00:20<00:00,  2.49it/s]\nFace image tmpwg3l1z7wAudrey_Hepburn saved to ./..",
  "metrics": {
    "predict_time": 73.053379,
    "total_time": 75.051587
  },
  "output": [
    "https://replicate.delivery/pbxt/3hkSakaS9qpMPxMMmfjYdr8ZLRRKiUkGwdNIlS0r5bcM7s2IA/tmpwg3l1z7wAudrey_Hepburn_00.png",
    "https://replicate.delivery/pbxt/boZvG5okpewhK6FY1YUeO2sehoy1FJoXW9IxBPifL42iZn1GB/tmpwg3l1z7wAudrey_Hepburn_00.png",
    "https://replicate.delivery/pbxt/NlSQp8BS4WLxL13eERn20OJzbMYfKpDx4usqAkywlgZY2ZtRA/tmpwg3l1z7wAudrey_Hepburn.png"
  ],
  "started_at": "2023-10-12T12:49:19.920227Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/bmqkjzlb4dtxi3plebcqg6sffu",
    "cancel": "https://api.replicate.com/v1/predictions/bmqkjzlb4dtxi3plebcqg6sffu/cancel"
  },
  "version": "51ed1464d8bbbaca811153b051d3b09ab42f0bdeb85804ae26ba323d7a66a4ac"
}

{
  "completed_at": "2023-10-12T12:58:27.796509Z",
  "created_at": "2023-10-12T12:58:16.320003Z",
  "data_removed": false,
  "error": null,
  "id": "y3pp3vdb7h6jyccilsfukcundi",
  "input": {
    "seed": 231,
    "input": "https://replicate.delivery/pbxt/JgdU22O42XDQO6PmXbkzwiYqBWui2hxdG8TATTNgGpBG78E7/49.jpg",
    "steps": 50,
    "tiled": false,
    "tile_size": 512,
    "has_aligned": false,
    "tile_stride": 256,
    "repeat_times": 1,
    "use_guidance": false,
    "color_fix_type": "wavelet",
    "guidance_scale": 0,
    "guidance_space": "latent",
    "guidance_repeat": 5,
    "only_center_face": false,
    "guidance_time_stop": -1,
    "guidance_time_start": 1001,
    "background_upsampler": "RealESRGAN",
    "face_detection_model": "retinaface_resnet50",
    "upscaling_model_type": "general_scenes",
    "restoration_model_type": "general_scenes",
    "super_resolution_factor": 4,
    "disable_preprocess_model": false,
    "reload_restoration_model": false,
    "background_upsampler_tile": 400,
    "background_upsampler_tile_stride": 400
  },
  "logs": "ckptckptckpt weights/general_full_v1.ckpt\nSwitching from mode 'FACE' to 'FULL'...\nLoading 'FULL' mode model...\nFreezing the 'FULL' mode model and moving to the desired device...\nENABLE XFORMERS!\nModel successfully switched to 'FULL' mode.\n{'bg_tile': 400,\n'bg_tile_stride': 200,\n'bg_upsampler': 'RealESRGAN',\n'ckpt': 'weights/general_full_v1.ckpt',\n'color_fix_type': 'wavelet',\n'config': 'configs/model/cldm.yaml',\n'detection_model': 'retinaface_resnet50',\n'device': 'cuda',\n'disable_preprocess_model': False,\n'g_repeat': 5,\n'g_scale': 0.0,\n'g_space': 'latent',\n'g_t_start': 1001,\n'g_t_stop': -1,\n'has_aligned': False,\n'image_size': 512,\n'input': '/tmp/tmpl7qh3cnr49.jpg',\n'only_center_face': False,\n'output': '.',\n'reload_swinir': False,\n'repeat_times': 1,\n'seed': 231,\n'show_lq': False,\n'skip_if_exist': False,\n'sr_scale': 4,\n'steps': 50,\n'swinir_ckpt': 'weights/general_swinir_v1.ckpt',\n'tile_size': 512,\n'tile_stride': 256,\n'tiled': False,\n'use_guidance': False}\nGlobal seed set to 231\ntimesteps used in spaced sampler:\n[0, 20, 41, 61, 82, 102, 122, 143, 163, 183, 204, 224, 245, 265, 285, 306, 326, 347, 367, 387, 408, 428, 449, 469, 489, 510, 530, 550, 571, 591, 612, 632, 652, 673, 693, 714, 734, 754, 775, 795, 816, 836, 856, 877, 897, 917, 938, 958, 979, 999]\nSpaced Sampler:   0%|          | 0/50 [00:00<?, ?it/s]\nSpaced Sampler:   2%|▏         | 1/50 [00:00<00:14,  3.33it/s]\nSpaced Sampler:   4%|▍         | 2/50 [00:00<00:09,  5.20it/s]\nSpaced Sampler:   6%|▌         | 3/50 [00:00<00:07,  6.34it/s]\nSpaced Sampler:   8%|▊         | 4/50 [00:00<00:06,  7.06it/s]\nSpaced Sampler:  10%|█         | 5/50 [00:00<00:05,  7.53it/s]\nSpaced Sampler:  12%|█▏        | 6/50 [00:00<00:05,  7.84it/s]\nSpaced Sampler:  14%|█▍        | 7/50 [00:01<00:05,  8.06it/s]\nSpaced Sampler:  16%|█▌        | 8/50 [00:01<00:05,  8.20it/s]\nSpaced Sampler:  18%|█▊        | 9/50 [00:01<00:04,  8.30it/s]\nSpaced Sampler:  20%|██        | 10/50 [00:01<00:04,  8.37it/s]\nSpaced Sampler:  22%|██▏       | 11/50 [00:01<00:04,  8.43it/s]\nSpaced Sampler:  24%|██▍       | 12/50 [00:01<00:04,  8.46it/s]\nSpaced Sampler:  26%|██▌       | 13/50 [00:01<00:04,  8.47it/s]\nSpaced Sampler:  28%|██▊       | 14/50 [00:01<00:04,  8.49it/s]\nSpaced Sampler:  30%|███       | 15/50 [00:01<00:04,  8.50it/s]\nSpaced Sampler:  32%|███▏      | 16/50 [00:02<00:03,  8.51it/s]\nSpaced Sampler:  34%|███▍      | 17/50 [00:02<00:03,  8.51it/s]\nSpaced Sampler:  36%|███▌      | 18/50 [00:02<00:03,  8.51it/s]\nSpaced Sampler:  38%|███▊      | 19/50 [00:02<00:03,  8.52it/s]\nSpaced Sampler:  40%|████      | 20/50 [00:02<00:03,  8.52it/s]\nSpaced Sampler:  42%|████▏     | 21/50 [00:02<00:03,  8.52it/s]\nSpaced Sampler:  44%|████▍     | 22/50 [00:02<00:03,  8.52it/s]\nSpaced Sampler:  46%|████▌     | 23/50 [00:02<00:03,  8.53it/s]\nSpaced Sampler:  48%|████▊     | 24/50 [00:02<00:03,  8.51it/s]\nSpaced Sampler:  50%|█████     | 25/50 [00:03<00:02,  8.51it/s]\nSpaced Sampler:  52%|█████▏    | 26/50 [00:03<00:02,  8.51it/s]\nSpaced Sampler:  54%|█████▍    | 27/50 [00:03<00:02,  8.51it/s]\nSpaced Sampler:  56%|█████▌    | 28/50 [00:03<00:02,  8.50it/s]\nSpaced Sampler:  58%|█████▊    | 29/50 [00:03<00:02,  8.50it/s]\nSpaced Sampler:  60%|██████    | 30/50 [00:03<00:02,  8.51it/s]\nSpaced Sampler:  62%|██████▏   | 31/50 [00:03<00:02,  8.50it/s]\nSpaced Sampler:  64%|██████▍   | 32/50 [00:03<00:02,  8.50it/s]\nSpaced Sampler:  66%|██████▌   | 33/50 [00:04<00:02,  8.49it/s]\nSpaced Sampler:  68%|██████▊   | 34/50 [00:04<00:01,  8.49it/s]\nSpaced Sampler:  70%|███████   | 35/50 [00:04<00:01,  8.50it/s]\nSpaced Sampler:  72%|███████▏  | 36/50 [00:04<00:01,  8.50it/s]\nSpaced Sampler:  74%|███████▍  | 37/50 [00:04<00:01,  8.50it/s]\nSpaced Sampler:  76%|███████▌  | 38/50 [00:04<00:01,  8.49it/s]\nSpaced Sampler:  78%|███████▊  | 39/50 [00:04<00:01,  8.50it/s]\nSpaced Sampler:  80%|████████  | 40/50 [00:04<00:01,  8.49it/s]\nSpaced Sampler:  82%|████████▏ | 41/50 [00:04<00:01,  8.49it/s]\nSpaced Sampler:  84%|████████▍ | 42/50 [00:05<00:00,  8.49it/s]\nSpaced Sampler:  86%|████████▌ | 43/50 [00:05<00:00,  8.49it/s]\nSpaced Sampler:  88%|████████▊ | 44/50 [00:05<00:00,  8.50it/s]\nSpaced Sampler:  90%|█████████ | 45/50 [00:05<00:00,  8.49it/s]\nSpaced Sampler:  92%|█████████▏| 46/50 [00:05<00:00,  8.49it/s]\nSpaced Sampler:  94%|█████████▍| 47/50 [00:05<00:00,  8.49it/s]\nSpaced Sampler:  96%|█████████▌| 48/50 [00:05<00:00,  8.49it/s]\nSpaced Sampler:  98%|█████████▊| 49/50 [00:05<00:00,  8.49it/s]\nSpaced Sampler: 100%|██████████| 50/50 [00:06<00:00,  8.49it/s]\nSpaced Sampler: 100%|██████████| 50/50 [00:06<00:00,  8.26it/s]\nsave to ./._0.png",
  "metrics": {
    "predict_time": 11.545806,
    "total_time": 11.476506
  },
  "output": [
    "https://replicate.delivery/pbxt/LHdTSK0QrV5UHZ8dfbq9F4vBCGjR0O3ZHCugtVdJ6v75eZtRA/._0.png"
  ],
  "started_at": "2023-10-12T12:58:16.250703Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/y3pp3vdb7h6jyccilsfukcundi",
    "cancel": "https://api.replicate.com/v1/predictions/y3pp3vdb7h6jyccilsfukcundi/cancel"
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  "version": "51ed1464d8bbbaca811153b051d3b09ab42f0bdeb85804ae26ba323d7a66a4ac"
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{
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  "created_at": "2023-10-12T13:17:41.439299Z",
  "data_removed": false,
  "error": null,
  "id": "77euyklbgcyarhaczq7uwxulai",
  "input": {
    "seed": 231,
    "input": "https://replicate.delivery/pbxt/JgdmREudlAXBDFZnIvZjfgSxwxtNd3aHk7gXHScaLGFltLGe/0427.png",
    "steps": 50,
    "tiled": false,
    "tile_size": 512,
    "has_aligned": true,
    "tile_stride": 256,
    "repeat_times": 1,
    "use_guidance": false,
    "color_fix_type": "wavelet",
    "guidance_scale": 0,
    "guidance_space": "latent",
    "guidance_repeat": 5,
    "only_center_face": false,
    "guidance_time_stop": -1,
    "guidance_time_start": 1001,
    "background_upsampler": "RealESRGAN",
    "face_detection_model": "retinaface_resnet50",
    "upscaling_model_type": "faces",
    "restoration_model_type": "general_scenes",
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    "disable_preprocess_model": false,
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    "background_upsampler_tile": 400,
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  },
  "logs": "ckptckptckpt weights/face_full_v1.ckpt\nSwitching from mode 'FULL' to 'FACE'...\nBuilding and loading 'FACE' mode model...\nControlLDM: Running in eps-prediction mode\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nDiffusionWrapper has 865.91 M params.\nmaking attention of type 'vanilla-xformers' with 512 in_channels\nbuilding MemoryEfficientAttnBlock with 512 in_channels...\nWorking with z of shape (1, 4, 32, 32) = 4096 dimensions.\nmaking attention of type 'vanilla-xformers' with 512 in_channels\nbuilding MemoryEfficientAttnBlock with 512 in_channels...\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is None and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 320, context_dim is 1024 and using 5 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 1024 and using 10 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.\nSetting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 1024 and using 20 heads.\nSetting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off]\nLoading model from: /root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/lpips/weights/v0.1/alex.pth\nreload swinir model from weights/general_swinir_v1.ckpt\nENABLE XFORMERS!\nModel successfully switched to 'FACE' mode.\n{'bg_tile': 400,\n'bg_tile_stride': 400,\n'bg_upsampler': 'RealESRGAN',\n'ckpt': 'weights/face_full_v1.ckpt',\n'color_fix_type': 'wavelet',\n'config': 'configs/model/cldm.yaml',\n'detection_model': 'retinaface_resnet50',\n'device': 'cuda',\n'disable_preprocess_model': False,\n'g_repeat': 5,\n'g_scale': 0.0,\n'g_space': 'latent',\n 'g_t_start': 1001,\n 'g_t_stop': -1,\n 'has_aligned': True,\n'image_size': 512,\n'input': '/tmp/tmpbr7p39dy0427.png',\n 'only_center_face': False,\n 'output': '.',\n 'reload_swinir': False,\n'repeat_times': 1,\n 'seed': 231,\n 'show_lq': False,\n 'skip_if_exist': False,\n 'sr_scale': 1,\n'steps': 50,\n 'swinir_ckpt': 'weights/general_swinir_v1.ckpt',\n'tile_size': 512,\n'tile_stride': 256,\n 'tiled': False,\n 'use_guidance': False}\nGlobal seed set to 231\n/root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`.\nwarnings.warn(msg)\nDownloading: \"https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth\" to /root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/facexlib/weights/detection_Resnet50_Final.pth\n  0%|          | 0.00/104M [00:00<?, ?B/s]\n  4%|▎         | 3.81M/104M [00:00<00:02, 39.8MB/s]\n  8%|▊         | 8.60M/104M [00:00<00:02, 45.9MB/s]\n 14%|█▎        | 14.1M/104M [00:00<00:01, 51.3MB/s]\n 20%|█▉        | 20.6M/104M [00:00<00:01, 57.8MB/s]\n 27%|██▋       | 28.1M/104M [00:00<00:01, 65.5MB/s]\n 34%|███▍      | 35.7M/104M [00:00<00:01, 70.4MB/s]\n 43%|████▎     | 45.0M/104M [00:00<00:00, 79.3MB/s]\n 53%|█████▎    | 54.9M/104M [00:00<00:00, 86.8MB/s]\n 63%|██████▎   | 65.8M/104M [00:00<00:00, 95.7MB/s]\n 74%|███████▍  | 77.1M/104M [00:01<00:00, 103MB/s] \n 85%|████████▌ | 89.2M/104M [00:01<00:00, 110MB/s]\n 97%|█████████▋| 102M/104M [00:01<00:00, 116MB/s] \n100%|██████████| 104M/104M [00:01<00:00, 89.6MB/s]\nDownloading: \"https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth\" to /root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/facexlib/weights/parsing_parsenet.pth\n  0%|          | 0.00/81.4M [00:00<?, ?B/s]\n  5%|▌         | 4.19M/81.4M [00:00<00:01, 43.6MB/s]\n 13%|█▎        | 10.6M/81.4M [00:00<00:01, 57.4MB/s]\n 22%|██▏       | 18.3M/81.4M [00:00<00:00, 67.9MB/s]\n 36%|███▌      | 29.2M/81.4M [00:00<00:00, 86.4MB/s]\n 53%|█████▎    | 43.3M/81.4M [00:00<00:00, 108MB/s] \n 68%|██████▊   | 55.1M/81.4M [00:00<00:00, 114MB/s]\n 83%|████████▎ | 67.5M/81.4M [00:00<00:00, 119MB/s]\n100%|██████████| 81.4M/81.4M [00:00<00:00, 107MB/s]\nLoading RealESRGAN_x2plus.pth for background upsampling...\ntimesteps used in spaced sampler:\n[0, 20, 41, 61, 82, 102, 122, 143, 163, 183, 204, 224, 245, 265, 285, 306, 326, 347, 367, 387, 408, 428, 449, 469, 489, 510, 530, 550, 571, 591, 612, 632, 652, 673, 693, 714, 734, 754, 775, 795, 816, 836, 856, 877, 897, 917, 938, 958, 979, 999]\nSpaced Sampler:   0%|          | 0/50 [00:00<?, ?it/s]\nSpaced Sampler:   2%|▏         | 1/50 [00:00<00:10,  4.78it/s]\nSpaced Sampler:   6%|▌         | 3/50 [00:00<00:05,  8.71it/s]\nSpaced Sampler:  10%|█         | 5/50 [00:00<00:04, 10.22it/s]\nSpaced Sampler:  14%|█▍        | 7/50 [00:00<00:03, 11.02it/s]\nSpaced Sampler:  18%|█▊        | 9/50 [00:00<00:03, 11.47it/s]\nSpaced Sampler:  22%|██▏       | 11/50 [00:01<00:03, 11.76it/s]\nSpaced Sampler:  26%|██▌       | 13/50 [00:01<00:03, 11.94it/s]\nSpaced Sampler:  30%|███       | 15/50 [00:01<00:02, 12.07it/s]\nSpaced Sampler:  34%|███▍      | 17/50 [00:01<00:02, 12.15it/s]\nSpaced Sampler:  38%|███▊      | 19/50 [00:01<00:02, 12.16it/s]\nSpaced Sampler:  42%|████▏     | 21/50 [00:01<00:02, 12.19it/s]\nSpaced Sampler:  46%|████▌     | 23/50 [00:02<00:02, 12.22it/s]\nSpaced Sampler:  50%|█████     | 25/50 [00:02<00:02, 12.23it/s]\nSpaced Sampler:  54%|█████▍    | 27/50 [00:02<00:01, 12.26it/s]\nSpaced Sampler:  58%|█████▊    | 29/50 [00:02<00:01, 12.27it/s]\nSpaced Sampler:  62%|██████▏   | 31/50 [00:02<00:01, 12.27it/s]\nSpaced Sampler:  66%|██████▌   | 33/50 [00:02<00:01, 12.27it/s]\nSpaced Sampler:  70%|███████   | 35/50 [00:02<00:01, 12.24it/s]\nSpaced Sampler:  74%|███████▍  | 37/50 [00:03<00:01, 12.14it/s]\nSpaced Sampler:  78%|███████▊  | 39/50 [00:03<00:00, 12.18it/s]\nSpaced Sampler:  82%|████████▏ | 41/50 [00:03<00:00, 12.19it/s]\nSpaced Sampler:  86%|████████▌ | 43/50 [00:03<00:00, 12.19it/s]\nSpaced Sampler:  90%|█████████ | 45/50 [00:03<00:00, 12.20it/s]\nSpaced Sampler:  94%|█████████▍| 47/50 [00:03<00:00, 12.17it/s]\nSpaced Sampler:  98%|█████████▊| 49/50 [00:04<00:00, 12.12it/s]\nSpaced Sampler: 100%|██████████| 50/50 [00:04<00:00, 11.86it/s]\nFace image tmpbr7p39dy0427 saved to ./..",
  "metrics": {
    "predict_time": 36.889872,
    "total_time": 123.993378
  },
  "output": [
    "https://replicate.delivery/pbxt/tjBj5e8QUiSAHaJhYwLUV2Sb5fmmp9VuIvfb6X4fG6UCHp1GB/tmpbr7p39dy0427.png"
  ],
  "started_at": "2023-10-12T13:19:08.542805Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/77euyklbgcyarhaczq7uwxulai",
    "cancel": "https://api.replicate.com/v1/predictions/77euyklbgcyarhaczq7uwxulai/cancel"
  },
  "version": "51ed1464d8bbbaca811153b051d3b09ab42f0bdeb85804ae26ba323d7a66a4ac"
}