{
  "completed_at": "2024-11-14T23:56:54.751160Z",
  "created_at": "2024-11-14T23:56:18.866000Z",
  "data_removed": false,
  "error": null,
  "id": "7zv8fshr69rj40ck5mdt7dh4zg",
  "input": {
    "prompt": "a white-haired young woman wearing a flower crown, a very large fiery dragon, castle in the background, illustration in the style of WHMSCPE001",
    "go_fast": true,
    "guidance": 3,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "lora_weights": "bingbangboom-lab/flux-new-whimscape",
    "output_format": "webp",
    "output_quality": 80,
    "prompt_strength": 0.8,
    "num_inference_steps": 28
  },
  "logs": "2024-11-14 23:56:33.807 | DEBUG    | fp8.lora_loading:apply_lora_to_model:547 - Extracting keys\n2024-11-14 23:56:33.807 | DEBUG    | fp8.lora_loading:apply_lora_to_model:554 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 9393.12it/s]\n2024-11-14 23:56:33.840 | SUCCESS  | fp8.lora_loading:unload_loras:537 - LoRAs unloaded in 0.033s\nfree=4100372529152\nDownloading weights\n2024-11-14T23:56:33Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpneafn7e0/weights url=https://replicate.com/bingbangboom-lab/flux-new-whimscape/_weights\n2024-11-14T23:56:34Z | INFO  | [ Redirect ] redirect_url=https://replicate.delivery/yhqm/AWKuvAwZat5RJpucihcXh8QVq4jrWwK65bjpqAVjEftoXCuJA/trained_model.tar url=https://replicate.com/bingbangboom-lab/flux-new-whimscape/_weights\n2024-11-14T23:56:35Z | INFO  | [ Complete ] dest=/tmp/tmpneafn7e0/weights size=\"172 MB\" total_elapsed=2.036s url=https://replicate.com/bingbangboom-lab/flux-new-whimscape/_weights\nDownloaded weights in 2.06s\n2024-11-14 23:56:35.907 | INFO     | fp8.lora_loading:load_lora:497 - Loading LoRA weights for /src/weights-cache/703d0a25bd278d30\n2024-11-14 23:56:36.006 | INFO     | fp8.lora_loading:load_lora:518 - LoRA weights loaded\n2024-11-14 23:56:36.007 | DEBUG    | fp8.lora_loading:apply_lora_to_model:547 - Extracting keys\n2024-11-14 23:56:36.007 | DEBUG    | fp8.lora_loading:apply_lora_to_model:554 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  29%|██▉       | 89/304 [00:00<00:00, 870.95it/s]\nApplying LoRA:  58%|█████▊    | 177/304 [00:00<00:00, 597.23it/s]\nApplying LoRA:  80%|███████▉  | 242/304 [00:00<00:00, 540.16it/s]\nApplying LoRA:  98%|█████████▊| 299/304 [00:00<00:00, 503.42it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 543.98it/s]\n2024-11-14 23:56:36.566 | SUCCESS  | fp8.lora_loading:load_lora:521 - LoRA applied in 0.66s\nrunning quantized prediction\nUsing seed: 3863150506\n  0%|          | 0/28 [00:00<?, ?it/s]\n  7%|▋         | 2/28 [00:00<00:08,  2.99it/s]\n 11%|█         | 3/28 [00:01<00:11,  2.18it/s]\n 14%|█▍        | 4/28 [00:01<00:12,  1.91it/s]\n 18%|█▊        | 5/28 [00:02<00:12,  1.78it/s]\n 21%|██▏       | 6/28 [00:03<00:12,  1.71it/s]\n 25%|██▌       | 7/28 [00:03<00:12,  1.67it/s]\n 29%|██▊       | 8/28 [00:04<00:12,  1.64it/s]\n 32%|███▏      | 9/28 [00:05<00:11,  1.62it/s]\n 36%|███▌      | 10/28 [00:05<00:11,  1.61it/s]\n 39%|███▉      | 11/28 [00:06<00:10,  1.60it/s]\n 43%|████▎     | 12/28 [00:06<00:10,  1.59it/s]\n 46%|████▋     | 13/28 [00:07<00:09,  1.59it/s]\n 50%|█████     | 14/28 [00:08<00:08,  1.59it/s]\n 54%|█████▎    | 15/28 [00:08<00:08,  1.58it/s]\n 57%|█████▋    | 16/28 [00:09<00:07,  1.58it/s]\n 61%|██████    | 17/28 [00:10<00:06,  1.58it/s]\n 64%|██████▍   | 18/28 [00:10<00:06,  1.58it/s]\n 68%|██████▊   | 19/28 [00:11<00:05,  1.58it/s]\n 71%|███████▏  | 20/28 [00:12<00:05,  1.58it/s]\n 75%|███████▌  | 21/28 [00:12<00:04,  1.58it/s]\n 79%|███████▊  | 22/28 [00:13<00:03,  1.58it/s]\n 82%|████████▏ | 23/28 [00:13<00:03,  1.58it/s]\n 86%|████████▌ | 24/28 [00:14<00:02,  1.58it/s]\n 89%|████████▉ | 25/28 [00:15<00:01,  1.58it/s]\n 93%|█████████▎| 26/28 [00:15<00:01,  1.58it/s]\n 96%|█████████▋| 27/28 [00:16<00:00,  1.58it/s]\n100%|██████████| 28/28 [00:17<00:00,  1.58it/s]\n100%|██████████| 28/28 [00:17<00:00,  1.64it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 20.942549811,
    "total_time": 35.88516
  },
  "output": [
    "https://replicate.delivery/yhqm/hfuuv7DdTevkZ0l4ZdQYTHo55hVqTT2v9aNwYZzS4HeNCIinA/out-0.webp"
  ],
  "started_at": "2024-11-14T23:56:33.808611Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/qoxq-76lfhkod3awzsouxo7yp2ixss6otperakrauoxyodzg627gncxxq",
    "get": "https://api.replicate.com/v1/predictions/7zv8fshr69rj40ck5mdt7dh4zg",
    "cancel": "https://api.replicate.com/v1/predictions/7zv8fshr69rj40ck5mdt7dh4zg/cancel"
  },
  "version": "245d305ecb1c7717b90204dcbc217f667042e13b15e8756b072b91087bf267ac"
}

{
  "completed_at": "2024-11-15T00:05:07.306601Z",
  "created_at": "2024-11-15T00:04:49.244000Z",
  "data_removed": false,
  "error": null,
  "id": "jrkefgg1vhrj00ck5mhvaphneg",
  "input": {
    "prompt": "Design a small, retro-style cute car parked along a charming cobblestone street in a picturesque European village. The car has a rounded, compact shape with large, friendly circular headlights that resemble eyes, giving it a playful, cheerful expression. Its body is painted in a pastel color, like soft mint green or blush pink, with a white roof and side mirrors. Small flowers are tucked into the car's front grille, adding to its charming, whimsical look. The scene is illuminated by soft morning light, highlighting the car’s glossy finish and reflecting the vibrant colors of the village buildings in the background. The overall atmosphere is warm, inviting, and full of personality, making the car appear almost animated\n\n",
    "go_fast": true,
    "guidance": 3,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "lora_weights": "fofr/flux-pixar-cars",
    "output_format": "webp",
    "output_quality": 80,
    "prompt_strength": 0.8,
    "num_inference_steps": 28
  },
  "logs": "Lora fofr/flux-pixar-cars already loaded\nrunning quantized prediction\nUsing seed: 3271744615\n  0%|          | 0/28 [00:00<?, ?it/s]\n  7%|▋         | 2/28 [00:00<00:08,  3.00it/s]\n 11%|█         | 3/28 [00:01<00:11,  2.19it/s]\n 14%|█▍        | 4/28 [00:01<00:12,  1.92it/s]\n 18%|█▊        | 5/28 [00:02<00:12,  1.79it/s]\n 21%|██▏       | 6/28 [00:03<00:12,  1.71it/s]\n 25%|██▌       | 7/28 [00:03<00:12,  1.67it/s]\n 29%|██▊       | 8/28 [00:04<00:12,  1.64it/s]\n 32%|███▏      | 9/28 [00:05<00:11,  1.63it/s]\n 36%|███▌      | 10/28 [00:05<00:11,  1.61it/s]\n 39%|███▉      | 11/28 [00:06<00:10,  1.60it/s]\n 43%|████▎     | 12/28 [00:06<00:10,  1.60it/s]\n 46%|████▋     | 13/28 [00:07<00:09,  1.59it/s]\n 50%|█████     | 14/28 [00:08<00:08,  1.59it/s]\n 54%|█████▎    | 15/28 [00:08<00:08,  1.59it/s]\n 57%|█████▋    | 16/28 [00:09<00:07,  1.59it/s]\n 61%|██████    | 17/28 [00:10<00:06,  1.59it/s]\n 64%|██████▍   | 18/28 [00:10<00:06,  1.59it/s]\n 68%|██████▊   | 19/28 [00:11<00:05,  1.59it/s]\n 71%|███████▏  | 20/28 [00:12<00:05,  1.59it/s]\n 75%|███████▌  | 21/28 [00:12<00:04,  1.58it/s]\n 79%|███████▊  | 22/28 [00:13<00:03,  1.58it/s]\n 82%|████████▏ | 23/28 [00:13<00:03,  1.58it/s]\n 86%|████████▌ | 24/28 [00:14<00:02,  1.58it/s]\n 89%|████████▉ | 25/28 [00:15<00:01,  1.58it/s]\n 93%|█████████▎| 26/28 [00:15<00:01,  1.58it/s]\n 96%|█████████▋| 27/28 [00:16<00:00,  1.58it/s]\n100%|██████████| 28/28 [00:17<00:00,  1.58it/s]\n100%|██████████| 28/28 [00:17<00:00,  1.64it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 18.05362315,
    "total_time": 18.062601
  },
  "output": [
    "https://replicate.delivery/yhqm/Q13sZs0fzn2yJyGDlZkKWyELxXmDxEnFZ6CwN60GVRlZEi4JA/out-0.webp"
  ],
  "started_at": "2024-11-15T00:04:49.252978Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/qoxq-n2u35vshj54jjsn7nos3pzhdwobt6pkndlotnfkixtushzwumjva",
    "get": "https://api.replicate.com/v1/predictions/jrkefgg1vhrj00ck5mhvaphneg",
    "cancel": "https://api.replicate.com/v1/predictions/jrkefgg1vhrj00ck5mhvaphneg/cancel"
  },
  "version": "245d305ecb1c7717b90204dcbc217f667042e13b15e8756b072b91087bf267ac"
}