{
  "completed_at": "2024-03-15T04:22:53.518849Z",
  "created_at": "2024-03-15T04:13:38.557264Z",
  "data_removed": false,
  "error": null,
  "id": "owj767tblz32gyosrwrsnxc74y",
  "input": {
    "seed": 1337,
    "image": "https://replicate.delivery/pbxt/KZWaur3VOX61FKuhgCYsMUA7oJDI1tCVyGlTWEV3BIqLZOTe/2024-01-02%2009.18.49.jpg",
    "width": 512,
    "height": 512,
    "prompt": "masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>",
    "sd_vae": "vae-ft-mse-840000-ema-pruned.safetensors",
    "cn_model": "control_v11f1e_sd15_tile",
    "sd_model": "juggernaut_reborn.safetensors [338b85bc4f]",
    "cn_module": "tile_resample",
    "cn_weight": 0.6,
    "scheduler": "DPM++ 3M SDE Karras",
    "td_method": "MultiDiffusion",
    "cn_lowvram": false,
    "td_overlap": 4,
    "num_outputs": 1,
    "cn_downsample": 1,
    "td_tile_width": 112,
    "cn_resize_mode": 1,
    "cn_threshold_a": 1,
    "cn_threshold_b": 1,
    "guidance_scale": 6,
    "td_image_width": 1,
    "td_tile_height": 144,
    "cn_control_mode": 1,
    "cn_guidance_end": 1,
    "negative_prompt": "(worst quality, low quality, normal quality:2) JuggernautNegative-neg",
    "td_image_height": 1,
    "td_scale_factor": 2,
    "tv_fast_decoder": true,
    "tv_fast_encoder": true,
    "cn_pixel_perfect": true,
    "enable_tiled_vae": true,
    "td_noise_inverse": false,
    "td_upscaler_name": "4x-UltraSharp",
    "cn_guidance_start": 0,
    "enable_controlnet": true,
    "td_overwrite_size": true,
    "denoising_strength": 0.35,
    "td_keep_input_size": true,
    "td_tile_batch_size": 8,
    "tv_move_vae_to_gpu": true,
    "cn_preprocessor_res": 512,
    "num_inference_steps": 18,
    "tv_decoder_tile_size": 192,
    "tv_encoder_tile_size": 3072,
    "enable_tiled_diffusion": true,
    "td_noise_inverse_steps": 0,
    "clip_stop_at_last_layers": 1,
    "tv_fast_encoder_color_fix": true,
    "td_noise_inverse_renoise_kernel": 3,
    "td_noise_inverse_renoise_strength": 0
  },
  "logs": "Creating model from config: /src/configs/v1-inference.yaml\n2024-03-15 04:21:06,285 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet UI callback registered.\nfatal: not a git repository (or any of the parent directories): .git\nfatal: not a git repository (or any of the parent directories): .git\nCouldn't find VAE named None; using None instead\nApplying attention optimization: Doggettx... done.\nModel loaded in 3.8s (load weights from disk: 0.1s, create model: 3.0s, apply weights to model: 0.4s).\nLoading VAE weights specified in settings: /src/models/VAE/vae-ft-mse-840000-ema-pruned.safetensors\nApplying attention optimization: Doggettx... done.\nVAE weights loaded.\n[Tiled Diffusion] upscaling image with 4x-UltraSharp...\n[Tiled Diffusion] ControlNet found, support is enabled.\n2024-03-15 04:21:18,999 - ControlNet - \u001b[0;32mINFO\u001b[0m - unit_separate = False, style_align = False\n2024-03-15 04:21:19,257 - ControlNet - \u001b[0;32mINFO\u001b[0m - Loading model: control_v11f1e_sd15_tile [a371b31b]\n2024-03-15 04:21:19,578 - ControlNet - \u001b[0;32mINFO\u001b[0m - Loaded state_dict from [/src/extensions/sd-webui-controlnet/models/control_v11f1e_sd15_tile.pth]\n2024-03-15 04:21:19,578 - ControlNet - \u001b[0;32mINFO\u001b[0m - controlnet_default_config\n2024-03-15 04:21:21,770 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet model control_v11f1e_sd15_tile [a371b31b](ControlModelType.ControlNet) loaded.\n2024-03-15 04:21:21,815 - ControlNet - \u001b[0;32mINFO\u001b[0m - Using preprocessor: tile_resample\n2024-03-15 04:21:21,815 - ControlNet - \u001b[0;32mINFO\u001b[0m - preprocessor resolution = 2288\n2024-03-15 04:21:22,036 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet Hooked - Time = 3.041232109069824\nMultiDiffusion hooked into 'DPM++ 3M SDE Karras' sampler, Tile size: 144x112, Tile count: 15, Batch size: 8, Tile batches: 2 (ext: ContrlNet)\n[Tiled VAE]: input_size: torch.Size([1, 3, 2288, 4096]), tile_size: 3072, padding: 32\n[Tiled VAE]: split to 1x2 = 2 tiles. Optimal tile size 2016x2240, original tile size 3072x3072\n[Tiled VAE]: Fast mode enabled, estimating group norm parameters on 3072 x 1716 image\nMultiDiffusion Sampling: : 0it [00:00, ?it/s]\n[Tiled VAE]: Executing Encoder Task Queue:   0%|          | 0/182 [00:00<?, ?it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  10%|▉         | 18/182 [00:00<00:02, 77.37it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  14%|█▍        | 26/182 [00:00<00:03, 40.82it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  21%|██        | 38/182 [00:01<00:04, 33.10it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  23%|██▎       | 42/182 [00:01<00:05, 26.67it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  26%|██▋       | 48/182 [00:01<00:04, 29.20it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  29%|██▊       | 52/182 [00:01<00:06, 18.73it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  30%|███       | 55/182 [00:02<00:08, 15.39it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  32%|███▏      | 58/182 [00:02<00:09, 13.26it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  35%|███▌      | 64/182 [00:02<00:06, 17.21it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  37%|███▋      | 67/182 [00:03<00:07, 16.21it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  38%|███▊      | 70/182 [00:03<00:06, 17.51it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  40%|████      | 73/182 [00:03<00:05, 18.54it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  42%|████▏     | 76/182 [00:03<00:05, 18.91it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  46%|████▌     | 83/182 [00:03<00:04, 24.54it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  47%|████▋     | 86/182 [00:03<00:04, 23.38it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  49%|████▉     | 89/182 [00:03<00:04, 21.17it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  51%|█████     | 92/182 [00:04<00:04, 20.03it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  54%|█████▍    | 99/182 [00:04<00:02, 29.67it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  57%|█████▋    | 104/182 [00:04<00:02, 30.93it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  65%|██████▍   | 118/182 [00:04<00:01, 53.13it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  74%|███████▎  | 134/182 [00:04<00:00, 76.76it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  82%|████████▏ | 150/182 [00:04<00:00, 95.56it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  88%|████████▊ | 161/182 [00:05<00:00, 41.01it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  97%|█████████▋| 176/182 [00:05<00:00, 54.86it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue: 100%|██████████| 182/182 [00:05<00:00, 32.97it/s]\n[Tiled VAE]: Done in 6.285s, max VRAM alloc 23998.532 MB\n  0%|          | 0/7 [00:00<?, ?it/s]\u001b[A\nMultiDiffusion Sampling: : 0it [00:13, ?it/s]\nTotal progress:   0%|          | 0/7 [00:00<?, ?it/s]\u001b[A\n 14%|█▍        | 1/7 [00:11<01:11, 11.99s/it]\u001b[A\nTotal progress:  29%|██▊       | 2/7 [00:10<00:26,  5.25s/it]\u001b[A\n 29%|██▊       | 2/7 [00:22<00:55, 11.12s/it]\u001b[A\nTotal progress:  43%|████▎     | 3/7 [00:21<00:29,  7.44s/it]\u001b[A\n 43%|████▎     | 3/7 [00:33<00:43, 10.84s/it]\u001b[A\nTotal progress:  57%|█████▋    | 4/7 [00:31<00:25,  8.59s/it]\u001b[A\n 57%|█████▋    | 4/7 [00:43<00:32, 10.71s/it]\u001b[A\nTotal progress:  71%|███████▏  | 5/7 [00:42<00:18,  9.26s/it]\u001b[A\n 71%|███████▏  | 5/7 [00:54<00:21, 10.64s/it]\u001b[A\nTotal progress:  86%|████████▌ | 6/7 [00:52<00:09,  9.68s/it]\u001b[A\n 86%|████████▌ | 6/7 [01:04<00:10, 10.60s/it]\u001b[A\n100%|██████████| 7/7 [01:15<00:00, 10.57s/it]\u001b[A\n100%|██████████| 7/7 [01:15<00:00, 10.73s/it]\nTotal progress: 100%|██████████| 7/7 [01:03<00:00,  9.95s/it]\u001b[A[Tiled VAE]: input_size: torch.Size([1, 4, 286, 512]), tile_size: 192, padding: 11\n[Tiled VAE]: split to 2x3 = 6 tiles. Optimal tile size 192x160, original tile size 192x192\n[Tiled VAE]: Fast mode enabled, estimating group norm parameters on 192 x 107 image\n[Tiled VAE]: Executing Decoder Task Queue:   0%|          | 0/738 [00:00<?, ?it/s]\n[Tiled VAE]: Executing Decoder Task Queue:  17%|█▋        | 124/738 [00:00<00:02, 210.24it/s]\n[Tiled VAE]: Executing Decoder Task Queue:  33%|███▎      | 247/738 [00:01<00:02, 211.90it/s]\n[Tiled VAE]: Executing Decoder Task Queue:  50%|█████     | 370/738 [00:01<00:01, 263.89it/s]\n[Tiled VAE]: Executing Decoder Task Queue:  67%|██████▋   | 493/738 [00:01<00:00, 282.74it/s]\n[Tiled VAE]: Executing Decoder Task Queue:  83%|████████▎ | 616/738 [00:02<00:00, 294.08it/s]\n[Tiled VAE]: Executing Decoder Task Queue: 100%|██████████| 738/738 [00:02<00:00, 295.40it/s]\n[Tiled VAE]: Done in 3.381s, max VRAM alloc 9362.373 MB\nTotal progress: 100%|██████████| 7/7 [01:07<00:00,  9.95s/it]\u001b[A\nTotal progress: 100%|██████████| 7/7 [01:07<00:00,  9.57s/it]",
  "metrics": {
    "predict_time": 108.381481,
    "total_time": 554.961585
  },
  "output": [
    "https://replicate.delivery/pbxt/5qurYymD5B6VHVZ6k2k9IrvF8t2uq6elfFQno8I9mmTb8XgSA/1337-aff3b668-e283-11ee-9be1-72886dc2033f.png"
  ],
  "started_at": "2024-03-15T04:21:05.137368Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/owj767tblz32gyosrwrsnxc74y",
    "cancel": "https://api.replicate.com/v1/predictions/owj767tblz32gyosrwrsnxc74y/cancel"
  },
  "version": "88f19697c15c8befccd557649fe6b01fcfa55ade961c2d1c3c23d9c986fdaff7"
}