{
  "completed_at": "2024-10-01T01:51:06.751368Z",
  "created_at": "2024-10-01T01:50:32.005000Z",
  "data_removed": false,
  "error": null,
  "id": "bqzm72my8nrgg0cj8q2t42s4am",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "A picture of Nathan, headshot, muscle, birthday hat, desert",
    "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": 0.6,
    "num_inference_steps": 105
  },
  "logs": "Using seed: 59686\nEnsuring enough disk space...\nFree disk space: 1977230995456\nDownloading weights: https://replicate.delivery/pbxt/hwHYPvVKYIKPDpe8ry6qVvxSFhjqVTviCNs6mxWxeZlKRQiTA/trained_model.tar\n2024-10-01T01:50:36Z | INFO  | [ Initiating ] chunk_size=150M dest=/src/weights-cache/d1ae482fb9a57e9f url=https://replicate.delivery/pbxt/hwHYPvVKYIKPDpe8ry6qVvxSFhjqVTviCNs6mxWxeZlKRQiTA/trained_model.tar\n2024-10-01T01:50:38Z | INFO  | [ Complete ] dest=/src/weights-cache/d1ae482fb9a57e9f size=\"186 MB\" total_elapsed=1.913s url=https://replicate.delivery/pbxt/hwHYPvVKYIKPDpe8ry6qVvxSFhjqVTviCNs6mxWxeZlKRQiTA/trained_model.tar\nb''\nDownloaded weights in 2.0191502571105957 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: A picture of Nathan, headshot, muscle, birthday hat, desert\ntxt2img mode\n  0%|          | 0/105 [00:00<?, ?it/s]/usr/local/lib/python3.9/site-packages/torch/nn/modules/conv.py:459: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:80.)\nreturn F.conv2d(input, weight, bias, self.stride,\n/usr/local/lib/python3.9/site-packages/diffusers/models/attention_processor.py:1946: FutureWarning: `LoRAAttnProcessor2_0` is deprecated and will be removed in version 0.26.0. Make sure use AttnProcessor2_0 instead by settingLoRA layers to `self.{to_q,to_k,to_v,to_out[0]}.lora_layer` respectively. This will be done automatically when using `LoraLoaderMixin.load_lora_weights`\ndeprecate(\n  1%|          | 1/105 [00:00<01:32,  1.13it/s]\n  2%|▏         | 2/105 [00:01<00:51,  2.00it/s]\n  3%|▎         | 3/105 [00:01<00:38,  2.64it/s]\n  4%|▍         | 4/105 [00:01<00:32,  3.12it/s]\n  5%|▍         | 5/105 [00:01<00:28,  3.45it/s]\n  6%|▌         | 6/105 [00:02<00:26,  3.70it/s]\n  7%|▋         | 7/105 [00:02<00:25,  3.86it/s]\n  8%|▊         | 8/105 [00:02<00:24,  3.99it/s]\n  9%|▊         | 9/105 [00:02<00:23,  4.08it/s]\n 10%|▉         | 10/105 [00:02<00:22,  4.14it/s]\n 10%|█         | 11/105 [00:03<00:22,  4.18it/s]\n 11%|█▏        | 12/105 [00:03<00:22,  4.21it/s]\n 12%|█▏        | 13/105 [00:03<00:21,  4.23it/s]\n 13%|█▎        | 14/105 [00:03<00:21,  4.24it/s]\n 14%|█▍        | 15/105 [00:04<00:21,  4.25it/s]\n 15%|█▌        | 16/105 [00:04<00:20,  4.26it/s]\n 16%|█▌        | 17/105 [00:04<00:20,  4.26it/s]\n 17%|█▋        | 18/105 [00:04<00:20,  4.26it/s]\n 18%|█▊        | 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  "metrics": {
    "predict_time": 30.346531456,
    "total_time": 34.746368
  },
  "output": [
    "https://replicate.delivery/pbxt/wtoCke2zesogep0uDw1Gi3e5WZMsueohiq9fJAvyyB5hiHk4E/out-0.png"
  ],
  "started_at": "2024-10-01T01:50:36.404836Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/bqzm72my8nrgg0cj8q2t42s4am",
    "cancel": "https://api.replicate.com/v1/predictions/bqzm72my8nrgg0cj8q2t42s4am/cancel"
  },
  "version": "fc455ca77fa185a5bed8e508250cdaebb0c9b2b04329eec439ae73eebf32bb52"
}