{
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  "created_at": "2024-03-30T07:46:10.719345Z",
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  "error": null,
  "id": "lg6q6ydbytjofvmc7o474gdleu",
  "input": {
    "seed": 231,
    "input": "https://replicate.delivery/pbxt/Ketx7Rc2HPkgBgsBAmZ14gWWKc6aiKsA783giEEf4qiHDtOb/C.L.A.I.R.E._everhart_s.jpg",
    "steps": 50,
    "tiled": false,
    "tile_size": 512,
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    "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": "faces",
    "super_resolution_factor": 2,
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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/3.9.19/lib/python3.9/site-packages/lpips/weights/v0.1/alex.pth\nreload swinir model from weights/face_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': False,\n'image_size': 512,\n'input': '/tmp/tmpcdoq1b8cC.L.A.I.R.E._everhart_s.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/face_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/3.9.19/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/3.9.19/lib/python3.9/site-packages/facexlib/weights/detection_Resnet50_Final.pth\n  0%|          | 0.00/104M [00:00<?, ?B/s]\n 39%|███▉      | 40.5M/104M [00:00<00:00, 425MB/s]\n 78%|███████▊  | 81.1M/104M [00:00<00:00, 98.1MB/s]\n100%|██████████| 104M/104M [00:00<00:00, 127MB/s]\nDownloading: \"https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth\" to /root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/facexlib/weights/parsing_parsenet.pth\n  0%|          | 0.00/81.4M [00:00<?, ?B/s]\n 54%|█████▍    | 43.8M/81.4M [00:00<00:00, 459MB/s]\n100%|██████████| 81.4M/81.4M [00:00<00:00, 464MB/s]\nLoading RealESRGAN_x2plus.pth for background upsampling...\nDownloading: \"https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth\" to /src/weights/realesrgan/RealESRGAN_x2plus.pth\n  0%|          | 0.00/64.0M [00:00<?, ?B/s]\n 52%|█████▏    | 33.4M/64.0M [00:00<00:00, 351MB/s]\n100%|██████████| 64.0M/64.0M [00:00<00:00, 386MB/s]\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,  4.79it/s]\nSpaced Sampler:   6%|▌         | 3/50 [00:00<00:05,  8.70it/s]\nSpaced Sampler:  10%|█         | 5/50 [00:00<00:04, 10.19it/s]\nSpaced Sampler:  14%|█▍        | 7/50 [00:00<00:03, 10.93it/s]\nSpaced Sampler:  18%|█▊        | 9/50 [00:00<00:03, 11.34it/s]\nSpaced Sampler:  22%|██▏       | 11/50 [00:01<00:03, 11.59it/s]\nSpaced Sampler:  26%|██▌       | 13/50 [00:01<00:03, 11.81it/s]\nSpaced Sampler:  30%|███       | 15/50 [00:01<00:02, 11.96it/s]\nSpaced Sampler:  34%|███▍      | 17/50 [00:01<00:02, 12.07it/s]\nSpaced Sampler:  38%|███▊      | 19/50 [00:01<00:02, 12.13it/s]\nSpaced Sampler:  42%|████▏     | 21/50 [00:01<00:02, 12.17it/s]\nSpaced Sampler:  46%|████▌     | 23/50 [00:02<00:02, 12.14it/s]\nSpaced Sampler:  50%|█████     | 25/50 [00:02<00:02, 12.13it/s]\nSpaced Sampler:  54%|█████▍    | 27/50 [00:02<00:01, 12.11it/s]\nSpaced Sampler:  58%|█████▊    | 29/50 [00:02<00:01, 12.10it/s]\nSpaced Sampler:  62%|██████▏   | 31/50 [00:02<00:01, 12.07it/s]\nSpaced Sampler:  66%|██████▌   | 33/50 [00:02<00:01, 12.08it/s]\nSpaced Sampler:  70%|███████   | 35/50 [00:03<00:01, 12.06it/s]\nSpaced Sampler:  74%|███████▍  | 37/50 [00:03<00:01, 12.05it/s]\nSpaced Sampler:  78%|███████▊  | 39/50 [00:03<00:00, 11.95it/s]\nSpaced Sampler:  82%|████████▏ | 41/50 [00:03<00:00, 11.97it/s]\nSpaced Sampler:  86%|████████▌ | 43/50 [00:03<00:00, 12.01it/s]\nSpaced Sampler:  90%|█████████ | 45/50 [00:03<00:00, 12.06it/s]\nSpaced Sampler:  94%|█████████▍| 47/50 [00:04<00:00, 12.12it/s]\nSpaced Sampler:  98%|█████████▊| 49/50 [00:04<00:00, 12.17it/s]\nSpaced Sampler: 100%|██████████| 50/50 [00:04<00:00, 11.77it/s]\nupsampling the background image using RealESRGAN...\nFace image tmpcdoq1b8cC.L.A.I.R.E._everhart_s saved to ./..",
  "metrics": {
    "predict_time": 43.867453,
    "total_time": 226.758077
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    "https://replicate.delivery/pbxt/a35MV4BcyI7wEdbFav8hrbX8CuOt3IU8jEr39S6E9geSsrSJA/tmpcdoq1b8cC.L.A.I.R.E._everhart_s.png"
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  "started_at": "2024-03-30T07:49:13.609969Z",
  "status": "succeeded",
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