{
  "completed_at": "2025-01-28T01:47:35.589146Z",
  "created_at": "2025-01-28T01:47:07.694000Z",
  "data_removed": false,
  "error": null,
  "id": "kkhk9tt45srm80cmnabv871gec",
  "input": {
    "model": "dev",
    "prompt": "a digital illustration of PURR reading a book in a cozy library",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 4,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 1,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "2025-01-28 01:47:08.531 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-28 01:47:08.532 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  89%|████████▉ | 270/304 [00:00<00:00, 2674.82it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2606.04it/s]\n2025-01-28 01:47:08.649 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=28996837507072\nDownloading weights\n2025-01-28T01:47:08Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpkqjpahhz/weights url=https://replicate.delivery/xezq/nENtU0FT0XI8P5x2bRj3qRQQsMbM2kWgct4oGbvB49UjXXCF/trained_model.tar\n2025-01-28T01:47:11Z | INFO  | [ Complete ] dest=/tmp/tmpkqjpahhz/weights size=\"215 MB\" total_elapsed=2.556s url=https://replicate.delivery/xezq/nENtU0FT0XI8P5x2bRj3qRQQsMbM2kWgct4oGbvB49UjXXCF/trained_model.tar\nDownloaded weights in 2.58s\n2025-01-28 01:47:11.233 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/7a19394bea9acc6e\n2025-01-28 01:47:11.314 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-28 01:47:11.315 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-28 01:47:11.315 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  92%|█████████▏| 281/304 [00:00<00:00, 2803.59it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2752.52it/s]\n2025-01-28 01:47:11.426 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 3892\n0it [00:00, ?it/s]\n1it [00:00,  8.36it/s]\n2it [00:00,  5.86it/s]\n3it [00:00,  5.34it/s]\n4it [00:00,  5.12it/s]\n5it [00:00,  4.99it/s]\n6it [00:01,  4.91it/s]\n7it [00:01,  4.88it/s]\n8it [00:01,  4.85it/s]\n9it [00:01,  4.84it/s]\n10it [00:01,  4.82it/s]\n11it [00:02,  4.81it/s]\n12it [00:02,  4.81it/s]\n13it [00:02,  4.81it/s]\n14it [00:02,  4.82it/s]\n15it [00:03,  4.81it/s]\n16it [00:03,  4.81it/s]\n17it [00:03,  4.80it/s]\n18it [00:03,  4.80it/s]\n19it [00:03,  4.81it/s]\n20it [00:04,  4.81it/s]\n21it [00:04,  4.80it/s]\n22it [00:04,  4.79it/s]\n23it [00:04,  4.79it/s]\n24it [00:04,  4.79it/s]\n25it [00:05,  4.79it/s]\n26it [00:05,  4.80it/s]\n27it [00:05,  4.79it/s]\n28it [00:05,  4.80it/s]\n28it [00:05,  4.88it/s]\n0it [00:00, ?it/s]\n1it [00:00,  4.85it/s]\n2it [00:00,  4.82it/s]\n3it [00:00,  4.81it/s]\n4it [00:00,  4.80it/s]\n5it [00:01,  4.79it/s]\n6it [00:01,  4.79it/s]\n7it [00:01,  4.78it/s]\n8it [00:01,  4.78it/s]\n9it [00:01,  4.78it/s]\n10it [00:02,  4.78it/s]\n11it [00:02,  4.78it/s]\n12it [00:02,  4.77it/s]\n13it [00:02,  4.77it/s]\n14it [00:02,  4.76it/s]\n15it [00:03,  4.77it/s]\n16it [00:03,  4.77it/s]\n17it [00:03,  4.76it/s]\n18it [00:03,  4.76it/s]\n19it [00:03,  4.76it/s]\n20it [00:04,  4.77it/s]\n21it [00:04,  4.79it/s]\n22it [00:04,  4.78it/s]\n23it [00:04,  4.77it/s]\n24it [00:05,  4.78it/s]\n25it [00:05,  4.77it/s]\n26it [00:05,  4.77it/s]\n27it [00:05,  4.78it/s]\n28it [00:05,  4.79it/s]\n28it [00:05,  4.78it/s]\n0it [00:00, ?it/s]\n1it [00:00,  4.82it/s]\n2it [00:00,  4.79it/s]\n3it [00:00,  4.78it/s]\n4it [00:00,  4.78it/s]\n5it [00:01,  4.79it/s]\n6it [00:01,  4.79it/s]\n7it [00:01,  4.79it/s]\n8it [00:01,  4.79it/s]\n9it [00:01,  4.79it/s]\n10it [00:02,  4.79it/s]\n11it [00:02,  4.79it/s]\n12it [00:02,  4.79it/s]\n13it [00:02,  4.79it/s]\n14it [00:02,  4.80it/s]\n15it [00:03,  4.79it/s]\n16it [00:03,  4.79it/s]\n17it [00:03,  4.78it/s]\n18it [00:03,  4.78it/s]\n19it [00:03,  4.78it/s]\n20it [00:04,  4.78it/s]\n21it [00:04,  4.78it/s]\n22it [00:04,  4.79it/s]\n23it [00:04,  4.79it/s]\n24it [00:05,  4.79it/s]\n25it [00:05,  4.78it/s]\n26it [00:05,  4.78it/s]\n27it [00:05,  4.78it/s]\n28it [00:05,  4.77it/s]\n28it [00:05,  4.79it/s]\n0it [00:00, ?it/s]\n1it [00:00,  4.83it/s]\n2it [00:00,  4.81it/s]\n3it [00:00,  4.81it/s]\n4it [00:00,  4.81it/s]\n5it [00:01,  4.81it/s]\n6it [00:01,  4.79it/s]\n7it [00:01,  4.79it/s]\n8it [00:01,  4.78it/s]\n9it [00:01,  4.79it/s]\n10it [00:02,  4.79it/s]\n11it [00:02,  4.79it/s]\n12it [00:02,  4.79it/s]\n13it [00:02,  4.78it/s]\n14it [00:02,  4.77it/s]\n15it [00:03,  4.77it/s]\n16it [00:03,  4.78it/s]\n17it [00:03,  4.78it/s]\n18it [00:03,  4.78it/s]\n19it [00:03,  4.78it/s]\n20it [00:04,  4.78it/s]\n21it [00:04,  4.78it/s]\n22it [00:04,  4.78it/s]\n23it [00:04,  4.78it/s]\n24it [00:05,  4.78it/s]\n25it [00:05,  4.77it/s]\n26it [00:05,  4.78it/s]\n27it [00:05,  4.79it/s]\n28it [00:05,  4.79it/s]\n28it [00:05,  4.79it/s]\nTotal safe images: 4 out of 4",
  "metrics": {
    "predict_time": 27.056352393,
    "total_time": 27.895146
  },
  "output": [
    "https://replicate.delivery/xezq/L8idWx36Or7TCJJl4lpJyYR52DL6F5hansBLhrpkxe7bSvEKA/out-0.webp",
    "https://replicate.delivery/xezq/E8kbFzi5n4JADN5UhQAFyhGcAJ2M5jilXPgzJxMrkuyNpXCF/out-1.webp",
    "https://replicate.delivery/xezq/lCl11DVVs4JAH1KUOG1Rn0ppx7r7KEyhPldGn3Ftu3ebSvEKA/out-2.webp",
    "https://replicate.delivery/xezq/oHMI57Hmzw6hFJjAybf3sSRMtvLfwfCkeLTbkjvU8mIfm0LhC/out-3.webp"
  ],
  "started_at": "2025-01-28T01:47:08.532793Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bsvm-pe3nbrvn4voalo65t4dl3pgfd4a26une6mtj5c6kimw6wztf64ga",
    "get": "https://api.replicate.com/v1/predictions/kkhk9tt45srm80cmnabv871gec",
    "cancel": "https://api.replicate.com/v1/predictions/kkhk9tt45srm80cmnabv871gec/cancel"
  },
  "version": "19e5239358c8ecbc81acad82cd146ba16b5c6f4b52375cd170db578ece68b0f5"
}

{
  "completed_at": "2025-01-28T01:56:00.983926Z",
  "created_at": "2025-01-28T01:55:36.440000Z",
  "data_removed": false,
  "error": null,
  "id": "jce3ybg7f1rme0cmnafv16ag94",
  "input": {
    "model": "dev",
    "prompt": "a digital illustration of PURR standing in baseball field",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 4,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 1,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "2025-01-28 01:55:36.502 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-28 01:55:36.503 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  92%|█████████▏| 279/304 [00:00<00:00, 2760.23it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2619.44it/s]\n2025-01-28 01:55:36.619 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\n2025-01-28 01:55:36.620 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/7a19394bea9acc6e\n2025-01-28 01:55:36.738 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-28 01:55:36.738 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-28 01:55:36.739 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  95%|█████████▌| 290/304 [00:00<00:00, 2891.92it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2768.40it/s]\n2025-01-28 01:55:36.849 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.23s\nUsing seed: 4880\n0it [00:00, ?it/s]\n1it [00:00,  8.35it/s]\n2it [00:00,  5.85it/s]\n3it [00:00,  5.33it/s]\n4it [00:00,  5.13it/s]\n5it [00:00,  5.02it/s]\n6it [00:01,  4.94it/s]\n7it [00:01,  4.89it/s]\n8it [00:01,  4.87it/s]\n9it [00:01,  4.85it/s]\n10it [00:01,  4.83it/s]\n11it [00:02,  4.82it/s]\n12it [00:02,  4.81it/s]\n13it [00:02,  4.81it/s]\n14it [00:02,  4.80it/s]\n15it [00:03,  4.80it/s]\n16it [00:03,  4.80it/s]\n17it [00:03,  4.80it/s]\n18it [00:03,  4.81it/s]\n19it [00:03,  4.81it/s]\n20it [00:04,  4.81it/s]\n21it [00:04,  4.81it/s]\n22it [00:04,  4.80it/s]\n23it [00:04,  4.80it/s]\n24it [00:04,  4.80it/s]\n25it [00:05,  4.80it/s]\n26it [00:05,  4.80it/s]\n27it [00:05,  4.80it/s]\n28it [00:05,  4.80it/s]\n28it [00:05,  4.88it/s]\n0it [00:00, ?it/s]\n1it [00:00,  4.83it/s]\n2it [00:00,  4.80it/s]\n3it [00:00,  4.80it/s]\n4it [00:00,  4.79it/s]\n5it [00:01,  4.80it/s]\n6it [00:01,  4.79it/s]\n7it [00:01,  4.79it/s]\n8it [00:01,  4.78it/s]\n9it [00:01,  4.78it/s]\n10it [00:02,  4.79it/s]\n11it [00:02,  4.79it/s]\n12it [00:02,  4.79it/s]\n13it [00:02,  4.79it/s]\n14it [00:02,  4.78it/s]\n15it [00:03,  4.78it/s]\n16it [00:03,  4.79it/s]\n17it [00:03,  4.78it/s]\n18it [00:03,  4.78it/s]\n19it [00:03,  4.79it/s]\n20it [00:04,  4.79it/s]\n21it [00:04,  4.79it/s]\n22it [00:04,  4.79it/s]\n23it [00:04,  4.80it/s]\n24it [00:05,  4.80it/s]\n25it [00:05,  4.80it/s]\n26it [00:05,  4.79it/s]\n27it [00:05,  4.79it/s]\n28it [00:05,  4.79it/s]\n28it [00:05,  4.79it/s]\n0it [00:00, ?it/s]\n1it [00:00,  4.82it/s]\n2it [00:00,  4.79it/s]\n3it [00:00,  4.78it/s]\n4it [00:00,  4.77it/s]\n5it [00:01,  4.77it/s]\n6it [00:01,  4.78it/s]\n7it [00:01,  4.77it/s]\n8it [00:01,  4.77it/s]\n9it [00:01,  4.77it/s]\n10it [00:02,  4.77it/s]\n11it [00:02,  4.77it/s]\n12it [00:02,  4.77it/s]\n13it [00:02,  4.77it/s]\n14it [00:02,  4.78it/s]\n15it [00:03,  4.79it/s]\n16it [00:03,  4.78it/s]\n17it [00:03,  4.78it/s]\n18it [00:03,  4.78it/s]\n19it [00:03,  4.78it/s]\n20it [00:04,  4.79it/s]\n21it [00:04,  4.78it/s]\n22it [00:04,  4.78it/s]\n23it [00:04,  4.78it/s]\n24it [00:05,  4.77it/s]\n25it [00:05,  4.78it/s]\n26it [00:05,  4.78it/s]\n27it [00:05,  4.78it/s]\n28it [00:05,  4.78it/s]\n28it [00:05,  4.78it/s]\n0it [00:00, ?it/s]\n1it [00:00,  4.82it/s]\n2it [00:00,  4.79it/s]\n3it [00:00,  4.78it/s]\n4it [00:00,  4.77it/s]\n5it [00:01,  4.78it/s]\n6it [00:01,  4.78it/s]\n7it [00:01,  4.77it/s]\n8it [00:01,  4.78it/s]\n9it [00:01,  4.77it/s]\n10it [00:02,  4.77it/s]\n11it [00:02,  4.77it/s]\n12it [00:02,  4.77it/s]\n13it [00:02,  4.77it/s]\n14it [00:02,  4.76it/s]\n15it [00:03,  4.76it/s]\n16it [00:03,  4.76it/s]\n17it [00:03,  4.77it/s]\n18it [00:03,  4.77it/s]\n19it [00:03,  4.77it/s]\n20it [00:04,  4.77it/s]\n21it [00:04,  4.77it/s]\n22it [00:04,  4.77it/s]\n23it [00:04,  4.77it/s]\n24it [00:05,  4.76it/s]\n25it [00:05,  4.76it/s]\n26it [00:05,  4.76it/s]\n27it [00:05,  4.76it/s]\n28it [00:05,  4.76it/s]\n28it [00:05,  4.77it/s]\nTotal safe images: 4 out of 4",
  "metrics": {
    "predict_time": 24.479581682,
    "total_time": 24.543926
  },
  "output": [
    "https://replicate.delivery/xezq/baNePwRyuz1vNCp1deiwRAe34d5OFlpzCRYqKcAGoFWhZ9SoA/out-0.webp",
    "https://replicate.delivery/xezq/QNYSnIfVyG2LWiF1DhkGT2aeEU4D6jiO9bKoocXw2e5hZ9SoA/out-1.webp",
    "https://replicate.delivery/xezq/ft3C4gW3yCUxOSYSVYP64JOdek2FSLbndkK2J70ACsZwseSoA/out-2.webp",
    "https://replicate.delivery/xezq/56frktCdDeiMDkhWrAWihh1xBSPteUHXrnIQThAUilwgZ9SoA/out-3.webp"
  ],
  "started_at": "2025-01-28T01:55:36.504344Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bsvm-emrx6wr2ceqzln6bqkpmar2j7fnzgevnp3yftjvnikxhsl57j5sa",
    "get": "https://api.replicate.com/v1/predictions/jce3ybg7f1rme0cmnafv16ag94",
    "cancel": "https://api.replicate.com/v1/predictions/jce3ybg7f1rme0cmnafv16ag94/cancel"
  },
  "version": "19e5239358c8ecbc81acad82cd146ba16b5c6f4b52375cd170db578ece68b0f5"
}

{
  "completed_at": "2025-01-29T00:11:08.878062Z",
  "created_at": "2025-01-29T00:10:43.156000Z",
  "data_removed": false,
  "error": null,
  "id": "hg0c9wawahrme0cmnxjt13h3b4",
  "input": {
    "model": "dev",
    "prompt": "PURR as a kitten teacher with a oversized graduation cap, writing '$1 wen?' clumsily on the board, chalk dust everywhere, watercolor background with floating cat treats.",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 4,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 1,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "2025-01-29 00:10:43.207 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-29 00:10:43.207 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  91%|█████████ | 277/304 [00:00<00:00, 2761.77it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2678.32it/s]\n2025-01-29 00:10:43.321 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29091677683712\nDownloading weights\n2025-01-29T00:10:43Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpou5gzlc8/weights url=https://replicate.delivery/xezq/nENtU0FT0XI8P5x2bRj3qRQQsMbM2kWgct4oGbvB49UjXXCF/trained_model.tar\n2025-01-29T00:10:44Z | INFO  | [ Complete ] dest=/tmp/tmpou5gzlc8/weights size=\"215 MB\" total_elapsed=1.231s url=https://replicate.delivery/xezq/nENtU0FT0XI8P5x2bRj3qRQQsMbM2kWgct4oGbvB49UjXXCF/trained_model.tar\nDownloaded weights in 1.25s\n2025-01-29 00:10:44.576 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/7a19394bea9acc6e\n2025-01-29 00:10:44.657 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-29 00:10:44.657 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-29 00:10:44.657 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  97%|█████████▋| 294/304 [00:00<00:00, 2924.16it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2853.51it/s]\n2025-01-29 00:10:44.764 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 33562\n0it [00:00, ?it/s]\n1it [00:00,  8.31it/s]\n2it [00:00,  5.83it/s]\n3it [00:00,  5.33it/s]\n4it [00:00,  5.11it/s]\n5it [00:00,  4.99it/s]\n6it [00:01,  4.91it/s]\n7it [00:01,  4.87it/s]\n8it [00:01,  4.86it/s]\n9it [00:01,  4.85it/s]\n10it [00:01,  4.83it/s]\n11it [00:02,  4.81it/s]\n12it [00:02,  4.80it/s]\n13it [00:02,  4.80it/s]\n14it [00:02,  4.80it/s]\n15it [00:03,  4.81it/s]\n16it [00:03,  4.81it/s]\n17it [00:03,  4.81it/s]\n18it [00:03,  4.80it/s]\n19it [00:03,  4.79it/s]\n20it [00:04,  4.79it/s]\n21it [00:04,  4.78it/s]\n22it [00:04,  4.79it/s]\n23it [00:04,  4.79it/s]\n24it [00:04,  4.81it/s]\n25it [00:05,  4.80it/s]\n26it [00:05,  4.80it/s]\n27it [00:05,  4.80it/s]\n28it [00:05,  4.80it/s]\n28it [00:05,  4.87it/s]\n0it [00:00, ?it/s]\n1it [00:00,  4.84it/s]\n2it [00:00,  4.81it/s]\n3it [00:00,  4.80it/s]\n4it [00:00,  4.80it/s]\n5it [00:01,  4.80it/s]\n6it [00:01,  4.81it/s]\n7it [00:01,  4.81it/s]\n8it [00:01,  4.81it/s]\n9it [00:01,  4.80it/s]\n10it [00:02,  4.79it/s]\n11it [00:02,  4.80it/s]\n12it [00:02,  4.80it/s]\n13it [00:02,  4.80it/s]\n14it [00:02,  4.80it/s]\n15it [00:03,  4.79it/s]\n16it [00:03,  4.79it/s]\n17it [00:03,  4.80it/s]\n18it [00:03,  4.79it/s]\n19it [00:03,  4.79it/s]\n20it [00:04,  4.80it/s]\n21it [00:04,  4.79it/s]\n22it [00:04,  4.79it/s]\n23it [00:04,  4.80it/s]\n24it [00:05,  4.80it/s]\n25it [00:05,  4.79it/s]\n26it [00:05,  4.80it/s]\n27it [00:05,  4.79it/s]\n28it [00:05,  4.80it/s]\n28it [00:05,  4.80it/s]\n0it [00:00, ?it/s]\n1it [00:00,  4.85it/s]\n2it [00:00,  4.82it/s]\n3it [00:00,  4.80it/s]\n4it [00:00,  4.79it/s]\n5it [00:01,  4.79it/s]\n6it [00:01,  4.80it/s]\n7it [00:01,  4.80it/s]\n8it [00:01,  4.79it/s]\n9it [00:01,  4.79it/s]\n10it [00:02,  4.80it/s]\n11it [00:02,  4.80it/s]\n12it [00:02,  4.80it/s]\n13it [00:02,  4.79it/s]\n14it [00:02,  4.79it/s]\n15it [00:03,  4.79it/s]\n16it [00:03,  4.80it/s]\n17it [00:03,  4.79it/s]\n18it [00:03,  4.79it/s]\n19it [00:03,  4.78it/s]\n20it [00:04,  4.79it/s]\n21it [00:04,  4.80it/s]\n22it [00:04,  4.79it/s]\n23it [00:04,  4.80it/s]\n24it [00:05,  4.80it/s]\n25it [00:05,  4.79it/s]\n26it [00:05,  4.79it/s]\n27it [00:05,  4.79it/s]\n28it [00:05,  4.79it/s]\n28it [00:05,  4.79it/s]\n0it [00:00, ?it/s]\n1it [00:00,  4.85it/s]\n2it [00:00,  4.82it/s]\n3it [00:00,  4.80it/s]\n4it [00:00,  4.80it/s]\n5it [00:01,  4.79it/s]\n6it [00:01,  4.80it/s]\n7it [00:01,  4.80it/s]\n8it [00:01,  4.79it/s]\n9it [00:01,  4.79it/s]\n10it [00:02,  4.78it/s]\n11it [00:02,  4.78it/s]\n12it [00:02,  4.78it/s]\n13it [00:02,  4.78it/s]\n14it [00:02,  4.78it/s]\n15it [00:03,  4.78it/s]\n16it [00:03,  4.78it/s]\n17it [00:03,  4.78it/s]\n18it [00:03,  4.78it/s]\n19it [00:03,  4.79it/s]\n20it [00:04,  4.79it/s]\n21it [00:04,  4.78it/s]\n22it [00:04,  4.79it/s]\n23it [00:04,  4.80it/s]\n24it [00:05,  4.80it/s]\n25it [00:05,  4.80it/s]\n26it [00:05,  4.79it/s]\n27it [00:05,  4.80it/s]\n28it [00:05,  4.79it/s]\n28it [00:05,  4.79it/s]\nTotal safe images: 4 out of 4",
  "metrics": {
    "predict_time": 25.670033354,
    "total_time": 25.722062
  },
  "output": [
    "https://replicate.delivery/xezq/FbG7Mxbz1ZaiBdCd2oNw6hA1rAuoaMfsdxfR3Rd5mWmcQyJUA/out-0.webp",
    "https://replicate.delivery/xezq/7c67sc5ENJ6YDZGb4ZSGXrCx0FYU6TlX1m7ID0DxpQPHkcCF/out-1.webp",
    "https://replicate.delivery/xezq/aB8zwm1bGbKuOBxVtrRhSI9ps9OPYbQgGQujrhPnu9MHkcCF/out-2.webp",
    "https://replicate.delivery/xezq/HLHzz3tsYo4QAtjJczTpvzMk5K2a7N7ttUZdS2urvTKHkcCF/out-3.webp"
  ],
  "started_at": "2025-01-29T00:10:43.208029Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bsvm-asqs5eef5dm5wyye53bzsjhfukomglm7eau7djeccvgxjhhyy5oq",
    "get": "https://api.replicate.com/v1/predictions/hg0c9wawahrme0cmnxjt13h3b4",
    "cancel": "https://api.replicate.com/v1/predictions/hg0c9wawahrme0cmnxjt13h3b4/cancel"
  },
  "version": "19e5239358c8ecbc81acad82cd146ba16b5c6f4b52375cd170db578ece68b0f5"
}