{
  "completed_at": "2024-01-25T01:55:27.892979Z",
  "created_at": "2024-01-25T01:55:01.166593Z",
  "data_removed": false,
  "error": null,
  "id": "ukqaqslbu4wg56dxkpbi3xwjy4",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK\n",
    "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": "hijab , scarf , black and white , iPhone ,European look , model , posing European look  , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting",
    "prompt_strength": 0.45,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 43364\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: photograph taken with iPhone 12 of a dignified Iranian young woman from <s0><s1> who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in 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,  3.64it/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,  3.64it/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,  3.63it/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,  3.63it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.63it/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,  3.62it/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,  3.61it/s]\n 66%|██████▌   | 33/50 [00:09<00:04,  3.62it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.62it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.62it/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,  3.61it/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,  3.61it/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": 16.079727,
    "total_time": 26.726386
  },
  "output": [
    "https://replicate.delivery/pbxt/TPxC8l1OfAUDJqWmkdB3bvJxFPZ4N58oh0BCvfzt8gWPG3PSA/out-0.png"
  ],
  "started_at": "2024-01-25T01:55:11.813252Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ukqaqslbu4wg56dxkpbi3xwjy4",
    "cancel": "https://api.replicate.com/v1/predictions/ukqaqslbu4wg56dxkpbi3xwjy4/cancel"
  },
  "version": "bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0"
}