{
  "completed_at": "2023-12-05T19:30:25.764843Z",
  "created_at": "2023-12-05T19:30:04.391813Z",
  "data_removed": false,
  "error": null,
  "id": "yv3mlblboy5ezvb3m24mlapu2e",
  "input": {
    "prompt": "A lego astronaut riding a rainbow unicorn"
  },
  "logs": "Using seed: 14392\nEnsuring enough disk space...\nFree disk space: 1829433282560\nDownloading weights: https://replicate.delivery/pbxt/IYehcEmlq6wpQ6TyiKkakCb5fUmfoO1rY43tX85uC9vRcAvjA/trained_model.tar\nb'Downloaded 186 MB bytes in 0.895s (208 MB/s)\\nExtracted 186 MB in 0.070s (2.6 GB/s)\\n'\nDownloaded weights in 1.4066691398620605 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: A lego astronaut riding a rainbow unicorn\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.67it/s]\n  4%|▍         | 2/50 [00:00<00:13,  3.66it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.66it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.66it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.66it/s]\n 12%|█▏        | 6/50 [00:01<00:12,  3.66it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.66it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.66it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.66it/s]\n 20%|██        | 10/50 [00:02<00:10,  3.65it/s]\n 22%|██▏       | 11/50 [00:03<00:10,  3.65it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.65it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.65it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.65it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.65it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.65it/s]\n 34%|███▍      | 17/50 [00:04<00:09,  3.65it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.64it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.64it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.64it/s]\n 42%|████▏     | 21/50 [00:05<00:07,  3.64it/s]\n 44%|████▍     | 22/50 [00:06<00:07,  3.64it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.64it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.64it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.64it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.64it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.64it/s]\n 56%|█████▌    | 28/50 [00:07<00:06,  3.64it/s]\n 58%|█████▊    | 29/50 [00:07<00:05,  3.64it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.64it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.64it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.65it/s]\n 66%|██████▌   | 33/50 [00:09<00:04,  3.66it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.66it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.66it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.66it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.66it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.66it/s]\n 78%|███████▊  | 39/50 [00:10<00:03,  3.66it/s]\n 80%|████████  | 40/50 [00:10<00:02,  3.66it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.66it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.66it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.66it/s]\n 88%|████████▊ | 44/50 [00:12<00:01,  3.66it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.66it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.67it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  3.66it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.66it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.66it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.66it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.65it/s]",
  "metrics": {
    "predict_time": 16.973436,
    "total_time": 21.37303
  },
  "output": [
    "https://replicate.delivery/pbxt/1kVXHJY8AxLjNlftcq6HAV1cludds7D7crGCPVZDZ5roYpfRA/out-0.png"
  ],
  "started_at": "2023-12-05T19:30:08.791407Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/yv3mlblboy5ezvb3m24mlapu2e",
    "cancel": "https://api.replicate.com/v1/predictions/yv3mlblboy5ezvb3m24mlapu2e/cancel"
  },
  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
}

{
  "completed_at": "2023-12-05T19:41:31.743499Z",
  "created_at": "2023-12-05T19:41:08.458694Z",
  "data_removed": false,
  "error": null,
  "id": "zuc342lbezyg3hyonkl4zbqzlu",
  "input": {
    "prompt": "a lego triceratops family"
  },
  "logs": "Using seed: 53332\nEnsuring enough disk space...\nFree disk space: 389406744576\nDownloading weights: https://replicate.delivery/pbxt/IYehcEmlq6wpQ6TyiKkakCb5fUmfoO1rY43tX85uC9vRcAvjA/trained_model.tar\nb'Downloaded 186 MB bytes in 0.243s (767 MB/s)\\nExtracted 186 MB in 0.060s (3.1 GB/s)\\n'\nDownloaded weights in 0.4152698516845703 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: a lego triceratops family\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.67it/s]\n  4%|▍         | 2/50 [00:00<00:13,  3.67it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.67it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.66it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.67it/s]\n 12%|█▏        | 6/50 [00:01<00:11,  3.67it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.68it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.68it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.68it/s]\n 20%|██        | 10/50 [00:02<00:10,  3.68it/s]\n 22%|██▏       | 11/50 [00:02<00:10,  3.68it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.68it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.68it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.68it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.68it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.68it/s]\n 34%|███▍      | 17/50 [00:04<00:08,  3.68it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.68it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.67it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.67it/s]\n 42%|████▏     | 21/50 [00:05<00:07,  3.67it/s]\n 44%|████▍     | 22/50 [00:05<00:07,  3.67it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.67it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.67it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.67it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.66it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.66it/s]\n 56%|█████▌    | 28/50 [00:07<00:06,  3.66it/s]\n 58%|█████▊    | 29/50 [00:07<00:05,  3.66it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.66it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.66it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.66it/s]\n 66%|██████▌   | 33/50 [00:08<00:04,  3.66it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.66it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.66it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.66it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.66it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.66it/s]\n 78%|███████▊  | 39/50 [00:10<00:03,  3.66it/s]\n 80%|████████  | 40/50 [00:10<00:02,  3.66it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.66it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.66it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.66it/s]\n 88%|████████▊ | 44/50 [00:11<00:01,  3.66it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.66it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.65it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  3.65it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.65it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.65it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.65it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.67it/s]",
  "metrics": {
    "predict_time": 16.385484,
    "total_time": 23.284805
  },
  "output": [
    "https://replicate.delivery/pbxt/Ggw9VfrIifuZEURpfn55Z5UyctJ0wYaBtS0ci5D4HbIW3leHB/out-0.png"
  ],
  "started_at": "2023-12-05T19:41:15.358015Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/zuc342lbezyg3hyonkl4zbqzlu",
    "cancel": "https://api.replicate.com/v1/predictions/zuc342lbezyg3hyonkl4zbqzlu/cancel"
  },
  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
}

{
  "completed_at": "2023-12-05T21:24:31.104625Z",
  "created_at": "2023-12-05T21:24:06.900269Z",
  "data_removed": false,
  "error": null,
  "id": "gnnlkadbgfc7d6nzxoi2x6kwha",
  "input": {
    "prompt": "a lego anatomical heart"
  },
  "logs": "Using seed: 15486\nEnsuring enough disk space...\nFree disk space: 2525025857536\nDownloading weights: https://replicate.delivery/pbxt/IYehcEmlq6wpQ6TyiKkakCb5fUmfoO1rY43tX85uC9vRcAvjA/trained_model.tar\nb'Downloaded 186 MB bytes in 3.420s (54 MB/s)\\nExtracted 186 MB in 0.053s (3.5 GB/s)\\n'\nDownloaded weights in 3.6835296154022217 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: a lego anatomical heart\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.66it/s]\n  4%|▍         | 2/50 [00:00<00:13,  3.65it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.65it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.64it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.64it/s]\n 12%|█▏        | 6/50 [00:01<00:12,  3.64it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.63it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.63it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.64it/s]\n 20%|██        | 10/50 [00:02<00:10,  3.65it/s]\n 22%|██▏       | 11/50 [00:03<00:10,  3.65it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.65it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.66it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.65it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.65it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.65it/s]\n 34%|███▍      | 17/50 [00:04<00:09,  3.65it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.65it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.65it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.65it/s]\n 42%|████▏     | 21/50 [00:05<00:07,  3.65it/s]\n 44%|████▍     | 22/50 [00:06<00:07,  3.65it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.65it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.64it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.64it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.65it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.65it/s]\n 56%|█████▌    | 28/50 [00:07<00:06,  3.65it/s]\n 58%|█████▊    | 29/50 [00:07<00:05,  3.65it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.65it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.64it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.65it/s]\n 66%|██████▌   | 33/50 [00:09<00:04,  3.65it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.64it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.64it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.64it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.64it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.64it/s]\n 78%|███████▊  | 39/50 [00:10<00:03,  3.64it/s]\n 80%|████████  | 40/50 [00:10<00:02,  3.64it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.64it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.64it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.64it/s]\n 88%|████████▊ | 44/50 [00:12<00:01,  3.64it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.64it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.64it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  3.64it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.64it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.64it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.64it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.64it/s]",
  "metrics": {
    "predict_time": 19.154549,
    "total_time": 24.204356
  },
  "output": [
    "https://replicate.delivery/pbxt/swGypGqYDjKOBNnjRTRd9AhWPvr7W9t0Wk7ZA5xYmYjDH1fIA/out-0.png"
  ],
  "started_at": "2023-12-05T21:24:11.950076Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/gnnlkadbgfc7d6nzxoi2x6kwha",
    "cancel": "https://api.replicate.com/v1/predictions/gnnlkadbgfc7d6nzxoi2x6kwha/cancel"
  },
  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
}

{
  "completed_at": "2023-11-12T04:37:28.454169Z",
  "created_at": "2023-11-12T04:36:53.605566Z",
  "data_removed": false,
  "error": null,
  "id": "czbfgmdbgta6vvqueaa2fvgovy",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "a pirate ship in the style of TOK",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 57518\nEnsuring enough disk space...\nFree disk space: 2136009408512\nDownloading weights: https://replicate.delivery/pbxt/IYehcEmlq6wpQ6TyiKkakCb5fUmfoO1rY43tX85uC9vRcAvjA/trained_model.tar\nb'Downloaded 186 MB bytes in 0.170s (1.1 GB/s)\\nExtracted 186 MB in 0.064s (2.9 GB/s)\\n'\nDownloaded weights in 0.48265552520751953 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: a pirate ship in the style of <s0><s1>\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.64it/s]\n  4%|▍         | 2/50 [00:00<00:13,  3.63it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.64it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.64it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.64it/s]\n 12%|█▏        | 6/50 [00:01<00:12,  3.64it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.63it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.64it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.64it/s]\n 20%|██        | 10/50 [00:02<00:11,  3.64it/s]\n 22%|██▏       | 11/50 [00:03<00:10,  3.64it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.63it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.64it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.63it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.63it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.63it/s]\n 34%|███▍      | 17/50 [00:04<00:09,  3.63it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.63it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.62it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.63it/s]\n 42%|████▏     | 21/50 [00:05<00:07,  3.63it/s]\n 44%|████▍     | 22/50 [00:06<00:07,  3.63it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.63it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.63it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.63it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.63it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.63it/s]\n 56%|█████▌    | 28/50 [00:07<00:06,  3.63it/s]\n 58%|█████▊    | 29/50 [00:07<00:05,  3.63it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.63it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.63it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.63it/s]\n 66%|██████▌   | 33/50 [00:09<00:04,  3.63it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.63it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.63it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.62it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.62it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.62it/s]\n 78%|███████▊  | 39/50 [00:10<00:03,  3.62it/s]\n 80%|████████  | 40/50 [00:11<00:02,  3.62it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.62it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.62it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.62it/s]\n 88%|████████▊ | 44/50 [00:12<00:01,  3.62it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.62it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.61it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  3.62it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.62it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.62it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.61it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.63it/s]",
  "metrics": {
    "predict_time": 16.167379,
    "total_time": 34.848603
  },
  "output": [
    "https://replicate.delivery/pbxt/2vZvhqOsiwb2Fhn7NNjuIJprq2FeBEFv3V2NxbivoEaERw7IA/out-0.png"
  ],
  "started_at": "2023-11-12T04:37:12.286790Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/czbfgmdbgta6vvqueaa2fvgovy",
    "cancel": "https://api.replicate.com/v1/predictions/czbfgmdbgta6vvqueaa2fvgovy/cancel"
  },
  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
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{
  "completed_at": "2023-11-12T04:42:15.117497Z",
  "created_at": "2023-11-12T04:41:58.026637Z",
  "data_removed": false,
  "error": null,
  "id": "kdm4rx3bcmpgayx6ajons6a6cq",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "spiderman pointing meme in the style of TOK",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 50
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  "logs": "Using seed: 26262\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: spiderman pointing meme in the style of <s0><s1>\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.69it/s]\n  4%|▍         | 2/50 [00:00<00:12,  3.69it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.69it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.70it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.69it/s]\n 12%|█▏        | 6/50 [00:01<00:11,  3.69it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.69it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.69it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.69it/s]\n 20%|██        | 10/50 [00:02<00:10,  3.69it/s]\n 22%|██▏       | 11/50 [00:02<00:10,  3.69it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.69it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.69it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.69it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.69it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.69it/s]\n 34%|███▍      | 17/50 [00:04<00:08,  3.69it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.68it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.68it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.68it/s]\n 42%|████▏     | 21/50 [00:05<00:07,  3.68it/s]\n 44%|████▍     | 22/50 [00:05<00:07,  3.68it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.68it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.68it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.68it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.68it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.68it/s]\n 56%|█████▌    | 28/50 [00:07<00:05,  3.68it/s]\n 58%|█████▊    | 29/50 [00:07<00:05,  3.68it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.68it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.68it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.67it/s]\n 66%|██████▌   | 33/50 [00:08<00:04,  3.67it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.67it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.68it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.67it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.67it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.67it/s]\n 78%|███████▊  | 39/50 [00:10<00:02,  3.67it/s]\n 80%|████████  | 40/50 [00:10<00:02,  3.67it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.67it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.67it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.67it/s]\n 88%|████████▊ | 44/50 [00:11<00:01,  3.67it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.67it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.67it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  3.67it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.67it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.67it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.67it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.68it/s]",
  "metrics": {
    "predict_time": 15.631376,
    "total_time": 17.09086
  },
  "output": [
    "https://replicate.delivery/pbxt/hORfGosp0DX0dCexUGJNMRIqRfTaL6gMfTfhnkkyC8bw0E8OC/out-0.png"
  ],
  "started_at": "2023-11-12T04:41:59.486121Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/kdm4rx3bcmpgayx6ajons6a6cq",
    "cancel": "https://api.replicate.com/v1/predictions/kdm4rx3bcmpgayx6ajons6a6cq/cancel"
  },
  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
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{
  "completed_at": "2023-11-12T04:50:26.934491Z",
  "created_at": "2023-11-12T04:50:05.359425Z",
  "data_removed": false,
  "error": null,
  "id": "yenrwjlbt3qdnuunfrrf272qce",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "obama as a lego in the style of TOK",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 8920\nEnsuring enough disk space...\nFree disk space: 1947732725760\nDownloading weights: https://replicate.delivery/pbxt/IYehcEmlq6wpQ6TyiKkakCb5fUmfoO1rY43tX85uC9vRcAvjA/trained_model.tar\nb'Downloaded 186 MB bytes in 0.239s (778 MB/s)\\nExtracted 186 MB in 0.062s (3.0 GB/s)\\n'\nDownloaded weights in 0.41402530670166016 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: obama as a lego in the style of <s0><s1>\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.64it/s]\n  4%|▍         | 2/50 [00:00<00:13,  3.64it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.63it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.63it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.62it/s]\n 12%|█▏        | 6/50 [00:01<00:12,  3.62it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.63it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.63it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.63it/s]\n 20%|██        | 10/50 [00:02<00:11,  3.62it/s]\n 22%|██▏       | 11/50 [00:03<00:10,  3.62it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.62it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.62it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.62it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.62it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.62it/s]\n 34%|███▍      | 17/50 [00:04<00:09,  3.62it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.62it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.62it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.62it/s]\n 42%|████▏     | 21/50 [00:05<00:08,  3.62it/s]\n 44%|████▍     | 22/50 [00:06<00:07,  3.62it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.62it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.62it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.61it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.61it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.61it/s]\n 56%|█████▌    | 28/50 [00:07<00:06,  3.61it/s]\n 58%|█████▊    | 29/50 [00:08<00:05,  3.61it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.61it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.61it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.61it/s]\n 66%|██████▌   | 33/50 [00:09<00:04,  3.61it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.61it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.61it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.61it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.61it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.61it/s]\n 78%|███████▊  | 39/50 [00:10<00:03,  3.61it/s]\n 80%|████████  | 40/50 [00:11<00:02,  3.61it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.61it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.61it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.61it/s]\n 88%|████████▊ | 44/50 [00:12<00:01,  3.61it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.61it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.61it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  3.61it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.61it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.61it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.61it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.61it/s]",
  "metrics": {
    "predict_time": 17.504046,
    "total_time": 21.575066
  },
  "output": [
    "https://replicate.delivery/pbxt/BgZ7udk7PtayO1eajSthIfBnLlAAvbgFRrogOieawXTkcBvjA/out-0.png"
  ],
  "started_at": "2023-11-12T04:50:09.430445Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/yenrwjlbt3qdnuunfrrf272qce",
    "cancel": "https://api.replicate.com/v1/predictions/yenrwjlbt3qdnuunfrrf272qce/cancel"
  },
  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
}

{
  "completed_at": "2023-11-12T04:51:34.040375Z",
  "created_at": "2023-11-12T04:51:03.330338Z",
  "data_removed": false,
  "error": null,
  "id": "ac3ftx3b4les5uheacruqgu3y4",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "ratatouille as a lego set in the style of TOK",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 50
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  "logs": "Using seed: 41584\nEnsuring enough disk space...\nFree disk space: 1943089876992\nDownloading weights: https://replicate.delivery/pbxt/IYehcEmlq6wpQ6TyiKkakCb5fUmfoO1rY43tX85uC9vRcAvjA/trained_model.tar\nb'Downloaded 186 MB bytes in 0.230s (808 MB/s)\\nExtracted 186 MB in 0.060s (3.1 GB/s)\\n'\nDownloaded weights in 0.3755807876586914 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: ratatouille as a lego set in the style of <s0><s1>\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.69it/s]\n  4%|▍         | 2/50 [00:00<00:13,  3.67it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.67it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.66it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.65it/s]\n 12%|█▏        | 6/50 [00:01<00:12,  3.66it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.67it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.67it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.66it/s]\n 20%|██        | 10/50 [00:02<00:10,  3.67it/s]\n 22%|██▏       | 11/50 [00:03<00:10,  3.67it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.67it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.67it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.67it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.67it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.67it/s]\n 34%|███▍      | 17/50 [00:04<00:08,  3.67it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.67it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.67it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.67it/s]\n 42%|████▏     | 21/50 [00:05<00:07,  3.67it/s]\n 44%|████▍     | 22/50 [00:05<00:07,  3.67it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.67it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.67it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.67it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.67it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.66it/s]\n 56%|█████▌    | 28/50 [00:07<00:06,  3.66it/s]\n 58%|█████▊    | 29/50 [00:07<00:05,  3.66it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.66it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.66it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.66it/s]\n 66%|██████▌   | 33/50 [00:09<00:04,  3.66it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.66it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.66it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.66it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.66it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.66it/s]\n 78%|███████▊  | 39/50 [00:10<00:03,  3.66it/s]\n 80%|████████  | 40/50 [00:10<00:02,  3.66it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.66it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.66it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.66it/s]\n 88%|████████▊ | 44/50 [00:12<00:01,  3.66it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.65it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.66it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  3.65it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.65it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.66it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.65it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.66it/s]",
  "metrics": {
    "predict_time": 16.978208,
    "total_time": 30.710037
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  "output": [
    "https://replicate.delivery/pbxt/XssK5hgBkTooAt7OHFSOHq5HxJRHRYWcvyVWanMn9AE1L4dE/out-0.png"
  ],
  "started_at": "2023-11-12T04:51:17.062167Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ac3ftx3b4les5uheacruqgu3y4",
    "cancel": "https://api.replicate.com/v1/predictions/ac3ftx3b4les5uheacruqgu3y4/cancel"
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  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
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{
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  "created_at": "2023-11-12T04:53:03.172666Z",
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  "error": null,
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  "input": {
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    "height": 1024,
    "prompt": "charlie and the chocolate factory as a lego set in the style of TOK",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 50
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  "logs": "Using seed: 10663\nEnsuring enough disk space...\nFree disk space: 1834566115328\nDownloading weights: https://replicate.delivery/pbxt/IYehcEmlq6wpQ6TyiKkakCb5fUmfoO1rY43tX85uC9vRcAvjA/trained_model.tar\nb'Downloaded 186 MB bytes in 0.433s (429 MB/s)\\nExtracted 186 MB in 0.050s (3.7 GB/s)\\n'\nDownloaded weights in 0.6059157848358154 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: charlie and the chocolate factory as a lego set in the style of <s0><s1>\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.65it/s]\n  4%|▍         | 2/50 [00:00<00:13,  3.64it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.65it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.64it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.64it/s]\n 12%|█▏        | 6/50 [00:01<00:12,  3.63it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.63it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.63it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.64it/s]\n 20%|██        | 10/50 [00:02<00:11,  3.63it/s]\n 22%|██▏       | 11/50 [00:03<00:10,  3.63it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.63it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.63it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.63it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.63it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.63it/s]\n 34%|███▍      | 17/50 [00:04<00:09,  3.63it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.63it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.62it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.62it/s]\n 42%|████▏     | 21/50 [00:05<00:08,  3.62it/s]\n 44%|████▍     | 22/50 [00:06<00:07,  3.62it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.62it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.62it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.62it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.61it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.61it/s]\n 56%|█████▌    | 28/50 [00:07<00:06,  3.61it/s]\n 58%|█████▊    | 29/50 [00:07<00:05,  3.61it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.62it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.62it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.62it/s]\n 66%|██████▌   | 33/50 [00:09<00:04,  3.62it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.61it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.61it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.61it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.62it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.61it/s]\n 78%|███████▊  | 39/50 [00:10<00:03,  3.61it/s]\n 80%|████████  | 40/50 [00:11<00:02,  3.61it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.61it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.61it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.61it/s]\n 88%|████████▊ | 44/50 [00:12<00:01,  3.61it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.61it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.61it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  3.61it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.61it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.61it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.61it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.62it/s]",
  "metrics": {
    "predict_time": 16.913219,
    "total_time": 20.893515
  },
  "output": [
    "https://replicate.delivery/pbxt/XYGTuLTne825HSu4CoQm8iFvYIfNclRGwXRzSpniOfoGiBvjA/out-0.png"
  ],
  "started_at": "2023-11-12T04:53:07.152962Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/oxg2kg3b2lvwdjgi6jf3waldme",
    "cancel": "https://api.replicate.com/v1/predictions/oxg2kg3b2lvwdjgi6jf3waldme/cancel"
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  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
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{
  "completed_at": "2023-11-12T04:54:54.053489Z",
  "created_at": "2023-11-12T04:54:26.619766Z",
  "data_removed": false,
  "error": null,
  "id": "ldas24dbwc3f4pt3psajhlru2u",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "the grand budapest hotel in the style of TOK",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 55815\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: the grand budapest hotel in the style of <s0><s1>\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.68it/s]\n  4%|▍         | 2/50 [00:00<00:13,  3.68it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.67it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.67it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.66it/s]\n 12%|█▏        | 6/50 [00:01<00:12,  3.66it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.66it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.66it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.66it/s]\n 20%|██        | 10/50 [00:02<00:10,  3.66it/s]\n 22%|██▏       | 11/50 [00:03<00:10,  3.66it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.66it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.66it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.66it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.66it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.66it/s]\n 34%|███▍      | 17/50 [00:04<00:09,  3.66it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.66it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.66it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.65it/s]\n 42%|████▏     | 21/50 [00:05<00:07,  3.65it/s]\n 44%|████▍     | 22/50 [00:06<00:07,  3.65it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.65it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.65it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.65it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.65it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.64it/s]\n 56%|█████▌    | 28/50 [00:07<00:06,  3.64it/s]\n 58%|█████▊    | 29/50 [00:07<00:05,  3.65it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.65it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.64it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.64it/s]\n 66%|██████▌   | 33/50 [00:09<00:04,  3.64it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.64it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.65it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.65it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.65it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.65it/s]\n 78%|███████▊  | 39/50 [00:10<00:03,  3.65it/s]\n 80%|████████  | 40/50 [00:10<00:02,  3.65it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.65it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.65it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.65it/s]\n 88%|████████▊ | 44/50 [00:12<00:01,  3.65it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.65it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.65it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  3.65it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.65it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.65it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.65it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.65it/s]",
  "metrics": {
    "predict_time": 16.690609,
    "total_time": 27.433723
  },
  "output": [
    "https://replicate.delivery/pbxt/oMLYpEGYfk3PFCvjHbinLvXiCYqxhbDS8bxVC7KrFPgOZw7IA/out-0.png"
  ],
  "started_at": "2023-11-12T04:54:37.362880Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ldas24dbwc3f4pt3psajhlru2u",
    "cancel": "https://api.replicate.com/v1/predictions/ldas24dbwc3f4pt3psajhlru2u/cancel"
  },
  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
}

{
  "completed_at": "2023-11-12T04:57:36.180035Z",
  "created_at": "2023-11-12T04:57:16.532668Z",
  "data_removed": false,
  "error": null,
  "id": "ujdzkilbmb5tyf6mh5ny2a6vh4",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "yellow submarine lego set",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
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    "total_time": 19.647367
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{
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    "num_inference_steps": 50
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  "logs": "Using seed: 960\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: jesus lego\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.68it/s]\n  4%|▍         | 2/50 [00:00<00:13,  3.67it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.67it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.67it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.67it/s]\n 12%|█▏        | 6/50 [00:01<00:11,  3.67it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.67it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.67it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.67it/s]\n 20%|██        | 10/50 [00:02<00:10,  3.67it/s]\n 22%|██▏       | 11/50 [00:02<00:10,  3.67it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.67it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.67it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.67it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.67it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.67it/s]\n 34%|███▍      | 17/50 [00:04<00:08,  3.67it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.67it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.67it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.67it/s]\n 42%|████▏     | 21/50 [00:05<00:07,  3.67it/s]\n 44%|████▍     | 22/50 [00:05<00:07,  3.67it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.67it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.67it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.67it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.67it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.66it/s]\n 56%|█████▌    | 28/50 [00:07<00:06,  3.66it/s]\n 58%|█████▊    | 29/50 [00:07<00:05,  3.66it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.66it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.66it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.66it/s]\n 66%|██████▌   | 33/50 [00:08<00:04,  3.65it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.66it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.66it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.66it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.66it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.65it/s]\n 78%|███████▊  | 39/50 [00:10<00:03,  3.66it/s]\n 80%|████████  | 40/50 [00:10<00:02,  3.66it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.65it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.66it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.65it/s]\n 88%|████████▊ | 44/50 [00:12<00:01,  3.65it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.66it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.66it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  3.65it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.65it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.65it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.65it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.66it/s]",
  "metrics": {
    "predict_time": 16.182134,
    "total_time": 18.854967
  },
  "output": [
    "https://replicate.delivery/pbxt/m8uY36WmFToJKpKBIbTNPvwFR1JfqjvWRjrpsNLETcKWeg3RA/out-0.png"
  ],
  "started_at": "2023-11-12T05:05:33.616788Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/7j2xnrtbtpwhiijgonp552dllu",
    "cancel": "https://api.replicate.com/v1/predictions/7j2xnrtbtpwhiijgonp552dllu/cancel"
  },
  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
}

{
  "completed_at": "2023-11-12T05:10:08.023039Z",
  "created_at": "2023-11-12T05:09:46.013205Z",
  "data_removed": false,
  "error": null,
  "id": "yv53rytbgm5eecwgexpaepinju",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "jeep wrangler lego",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 48117\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: jeep wrangler lego\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.70it/s]\n  4%|▍         | 2/50 [00:00<00:12,  3.70it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.70it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.68it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.68it/s]\n 12%|█▏        | 6/50 [00:01<00:11,  3.68it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.68it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.67it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.67it/s]\n 20%|██        | 10/50 [00:02<00:10,  3.67it/s]\n 22%|██▏       | 11/50 [00:02<00:10,  3.67it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.67it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.67it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.66it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.66it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.66it/s]\n 34%|███▍      | 17/50 [00:04<00:09,  3.66it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.66it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.66it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.66it/s]\n 42%|████▏     | 21/50 [00:05<00:07,  3.66it/s]\n 44%|████▍     | 22/50 [00:05<00:07,  3.66it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.66it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.66it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.66it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.66it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.67it/s]\n 56%|█████▌    | 28/50 [00:07<00:05,  3.67it/s]\n 58%|█████▊    | 29/50 [00:07<00:05,  3.67it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.68it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.68it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.68it/s]\n 66%|██████▌   | 33/50 [00:08<00:04,  3.68it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.68it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.68it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.68it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.68it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.68it/s]\n 78%|███████▊  | 39/50 [00:10<00:02,  3.68it/s]\n 80%|████████  | 40/50 [00:10<00:02,  3.68it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.68it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.68it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.68it/s]\n 88%|████████▊ | 44/50 [00:11<00:01,  3.68it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.68it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.68it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  3.68it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.68it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.68it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.68it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.67it/s]",
  "metrics": {
    "predict_time": 15.707464,
    "total_time": 22.009834
  },
  "output": [
    "https://replicate.delivery/pbxt/x2DtxKrNKB5vCVfeoWGHzqRGJZqZErqu5kQ9ZeSBERcfCEeOC/out-0.png"
  ],
  "started_at": "2023-11-12T05:09:52.315575Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/yv53rytbgm5eecwgexpaepinju",
    "cancel": "https://api.replicate.com/v1/predictions/yv53rytbgm5eecwgexpaepinju/cancel"
  },
  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
}

{
  "completed_at": "2023-11-12T05:14:12.859218Z",
  "created_at": "2023-11-12T05:13:50.751221Z",
  "data_removed": false,
  "error": null,
  "id": "kgzbw5tbyxhm6kfd2o5ui7pz6y",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "citi field lego set",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 14092\nEnsuring enough disk space...\nFree disk space: 3098716082176\nDownloading weights: https://replicate.delivery/pbxt/IYehcEmlq6wpQ6TyiKkakCb5fUmfoO1rY43tX85uC9vRcAvjA/trained_model.tar\nb'Downloaded 186 MB bytes in 0.290s (642 MB/s)\\nExtracted 186 MB in 0.048s (3.9 GB/s)\\n'\nDownloaded weights in 0.409975528717041 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: citi field lego set\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.65it/s]\n  4%|▍         | 2/50 [00:00<00:13,  3.64it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.64it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.63it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.63it/s]\n 12%|█▏        | 6/50 [00:01<00:12,  3.63it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.63it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.63it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.62it/s]\n 20%|██        | 10/50 [00:02<00:11,  3.62it/s]\n 22%|██▏       | 11/50 [00:03<00:10,  3.62it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.62it/s]\n 26%|██▌       | 13/50 [00:03<00:10,  3.62it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.61it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.62it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.62it/s]\n 34%|███▍      | 17/50 [00:04<00:09,  3.62it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.62it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.62it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.61it/s]\n 42%|████▏     | 21/50 [00:05<00:08,  3.62it/s]\n 44%|████▍     | 22/50 [00:06<00:07,  3.61it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.61it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.62it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.61it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.61it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.61it/s]\n 56%|█████▌    | 28/50 [00:07<00:06,  3.61it/s]\n 58%|█████▊    | 29/50 [00:08<00:05,  3.61it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.61it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.61it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.61it/s]\n 66%|██████▌   | 33/50 [00:09<00:04,  3.61it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.61it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.60it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.61it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.60it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.60it/s]\n 78%|███████▊  | 39/50 [00:10<00:03,  3.60it/s]\n 80%|████████  | 40/50 [00:11<00:02,  3.60it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.60it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.61it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.60it/s]\n 88%|████████▊ | 44/50 [00:12<00:01,  3.61it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.61it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.61it/s]\n 94%|█████████▍| 47/50 [00:13<00:00,  3.61it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.61it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.61it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.60it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.61it/s]",
  "metrics": {
    "predict_time": 16.838394,
    "total_time": 22.107997
  },
  "output": [
    "https://replicate.delivery/pbxt/RkNeHQTvVORVRCNSfsQ5fPcCn5pkws0gr08SCTbeuuXTSEeOC/out-0.png"
  ],
  "started_at": "2023-11-12T05:13:56.020824Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/kgzbw5tbyxhm6kfd2o5ui7pz6y",
    "cancel": "https://api.replicate.com/v1/predictions/kgzbw5tbyxhm6kfd2o5ui7pz6y/cancel"
  },
  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
}

{
  "completed_at": "2023-11-12T05:17:14.407613Z",
  "created_at": "2023-11-12T05:16:25.500469Z",
  "data_removed": false,
  "error": null,
  "id": "fzskiadbi2lac77ytzqxdmdwty",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "an eskimo igloo lego set",
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "lora_scale": 0.6,
    "num_outputs": 1,
    "guidance_scale": 15,
    "apply_watermark": true,
    "high_noise_frac": 0.8,
    "negative_prompt": "",
    "prompt_strength": 0.8,
    "num_inference_steps": 150
  },
  "logs": "Using seed: 34815\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: an eskimo igloo lego set\ntxt2img mode\n  0%|          | 0/150 [00:00<?, ?it/s]\n  1%|          | 1/150 [00:00<00:40,  3.66it/s]\n  1%|▏         | 2/150 [00:00<00:40,  3.65it/s]\n  2%|▏         | 3/150 [00:00<00:40,  3.65it/s]\n  3%|▎         | 4/150 [00:01<00:40,  3.65it/s]\n  3%|▎         | 5/150 [00:01<00:39,  3.65it/s]\n  4%|▍         | 6/150 [00:01<00:39,  3.64it/s]\n  5%|▍         | 7/150 [00:01<00:39,  3.64it/s]\n  5%|▌         | 8/150 [00:02<00:39,  3.64it/s]\n  6%|▌         | 9/150 [00:02<00:38,  3.64it/s]\n  7%|▋         | 10/150 [00:02<00:38,  3.64it/s]\n  7%|▋         | 11/150 [00:03<00:38,  3.64it/s]\n  8%|▊         | 12/150 [00:03<00:37,  3.63it/s]\n  9%|▊         | 13/150 [00:03<00:37,  3.63it/s]\n  9%|▉         | 14/150 [00:03<00:37,  3.63it/s]\n 10%|█         | 15/150 [00:04<00:37,  3.63it/s]\n 11%|█         | 16/150 [00:04<00:36,  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  "metrics": {
    "predict_time": 43.9795,
    "total_time": 48.907144
  },
  "output": [
    "https://replicate.delivery/pbxt/hMiqiRzQMeylbKZmd2fMYufavC7JF9Z2L1duNoWFEs4zOCvjA/out-0.png"
  ],
  "started_at": "2023-11-12T05:16:30.428113Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/fzskiadbi2lac77ytzqxdmdwty",
    "cancel": "https://api.replicate.com/v1/predictions/fzskiadbi2lac77ytzqxdmdwty/cancel"
  },
  "version": "9ddc2c9883e658f1317fd39b4d150ff79376cc8e63421a97ab5d0d5d757e1ab6"
}