{
  "completed_at": "2024-08-24T08:32:33.545971Z",
  "created_at": "2024-08-24T08:32:03.882000Z",
  "data_removed": false,
  "error": null,
  "id": "qg8zk2wk59rgp0chge1sk33r94",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "A logogram of life",
    "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": 25
  },
  "logs": "Using seed: 26544\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: A <s0><s1> of life\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:05,  4.31it/s]\n  8%|▊         | 2/25 [00:00<00:05,  4.30it/s]\n 12%|█▏        | 3/25 [00:00<00:05,  4.29it/s]\n 16%|█▌        | 4/25 [00:00<00:04,  4.28it/s]\n 20%|██        | 5/25 [00:01<00:04,  4.27it/s]\n 24%|██▍       | 6/25 [00:01<00:04,  4.26it/s]\n 28%|██▊       | 7/25 [00:01<00:04,  4.26it/s]\n 32%|███▏      | 8/25 [00:01<00:03,  4.26it/s]\n 36%|███▌      | 9/25 [00:02<00:03,  4.25it/s]\n 40%|████      | 10/25 [00:02<00:03,  4.25it/s]\n 44%|████▍     | 11/25 [00:02<00:03,  4.25it/s]\n 48%|████▊     | 12/25 [00:02<00:03,  4.25it/s]\n 52%|█████▏    | 13/25 [00:03<00:02,  4.25it/s]\n 56%|█████▌    | 14/25 [00:03<00:02,  4.24it/s]\n 60%|██████    | 15/25 [00:03<00:02,  4.24it/s]\n 64%|██████▍   | 16/25 [00:03<00:02,  4.23it/s]\n 68%|██████▊   | 17/25 [00:04<00:01,  4.22it/s]\n 72%|███████▏  | 18/25 [00:04<00:01,  4.22it/s]\n 76%|███████▌  | 19/25 [00:04<00:01,  4.23it/s]\n 80%|████████  | 20/25 [00:04<00:01,  4.24it/s]\n 84%|████████▍ | 21/25 [00:04<00:00,  4.24it/s]\n 88%|████████▊ | 22/25 [00:05<00:00,  4.24it/s]\n 92%|█████████▏| 23/25 [00:05<00:00,  4.23it/s]\n 96%|█████████▌| 24/25 [00:05<00:00,  4.23it/s]\n100%|██████████| 25/25 [00:05<00:00,  4.23it/s]\n100%|██████████| 25/25 [00:05<00:00,  4.25it/s]",
  "metrics": {
    "predict_time": 10.241558666,
    "total_time": 29.663971
  },
  "output": [
    "https://replicate.delivery/pbxt/2j8SHwy48v4qIVh92UkLkugVOVpLDSVW1ZVQOrTaaACoMd1E/out-0.png"
  ],
  "started_at": "2024-08-24T08:32:23.304412Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/qg8zk2wk59rgp0chge1sk33r94",
    "cancel": "https://api.replicate.com/v1/predictions/qg8zk2wk59rgp0chge1sk33r94/cancel"
  },
  "version": "3d58fdf66cb45c08fa5c66f7d59bf103b6e318a4f8220dd55221844885b1d580"
}

{
  "completed_at": "2024-08-24T08:38:29.199386Z",
  "created_at": "2024-08-24T08:38:06.934000Z",
  "data_removed": false,
  "error": null,
  "id": "dp734s8xasrgp0chge4smb2mkm",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "A logogram of creativity",
    "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: 1452\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: A <s0><s1> of creativity\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:11,  4.26it/s]\n  4%|▍         | 2/50 [00:00<00:11,  4.25it/s]\n  6%|▌         | 3/50 [00:00<00:11,  4.24it/s]\n  8%|▊         | 4/50 [00:00<00:10,  4.24it/s]\n 10%|█         | 5/50 [00:01<00:10,  4.24it/s]\n 12%|█▏        | 6/50 [00:01<00:10,  4.24it/s]\n 14%|█▍        | 7/50 [00:01<00:10,  4.25it/s]\n 16%|█▌        | 8/50 [00:01<00:09,  4.25it/s]\n 18%|█▊        | 9/50 [00:02<00:09,  4.25it/s]\n 20%|██        | 10/50 [00:02<00:09,  4.26it/s]\n 22%|██▏       | 11/50 [00:02<00:09,  4.26it/s]\n 24%|██▍       | 12/50 [00:02<00:08,  4.26it/s]\n 26%|██▌       | 13/50 [00:03<00:08,  4.26it/s]\n 28%|██▊       | 14/50 [00:03<00:08,  4.26it/s]\n 30%|███       | 15/50 [00:03<00:08,  4.26it/s]\n 32%|███▏      | 16/50 [00:03<00:07,  4.26it/s]\n 34%|███▍      | 17/50 [00:03<00:07,  4.26it/s]\n 36%|███▌      | 18/50 [00:04<00:07,  4.25it/s]\n 38%|███▊      | 19/50 [00:04<00:07,  4.25it/s]\n 40%|████      | 20/50 [00:04<00:07,  4.26it/s]\n 42%|████▏     | 21/50 [00:04<00:06,  4.26it/s]\n 44%|████▍     | 22/50 [00:05<00:06,  4.25it/s]\n 46%|████▌     | 23/50 [00:05<00:06,  4.25it/s]\n 48%|████▊     | 24/50 [00:05<00:06,  4.26it/s]\n 50%|█████     | 25/50 [00:05<00:05,  4.26it/s]\n 52%|█████▏    | 26/50 [00:06<00:05,  4.25it/s]\n 54%|█████▍    | 27/50 [00:06<00:05,  4.25it/s]\n 56%|█████▌    | 28/50 [00:06<00:05,  4.25it/s]\n 58%|█████▊    | 29/50 [00:06<00:04,  4.25it/s]\n 60%|██████    | 30/50 [00:07<00:04,  4.25it/s]\n 62%|██████▏   | 31/50 [00:07<00:04,  4.25it/s]\n 64%|██████▍   | 32/50 [00:07<00:04,  4.25it/s]\n 66%|██████▌   | 33/50 [00:07<00:03,  4.25it/s]\n 68%|██████▊   | 34/50 [00:07<00:03,  4.25it/s]\n 70%|███████   | 35/50 [00:08<00:03,  4.25it/s]\n 72%|███████▏  | 36/50 [00:08<00:03,  4.25it/s]\n 74%|███████▍  | 37/50 [00:08<00:03,  4.25it/s]\n 76%|███████▌  | 38/50 [00:08<00:02,  4.25it/s]\n 78%|███████▊  | 39/50 [00:09<00:02,  4.25it/s]\n 80%|████████  | 40/50 [00:09<00:02,  4.25it/s]\n 82%|████████▏ | 41/50 [00:09<00:02,  4.25it/s]\n 84%|████████▍ | 42/50 [00:09<00:01,  4.25it/s]\n 86%|████████▌ | 43/50 [00:10<00:01,  4.25it/s]\n 88%|████████▊ | 44/50 [00:10<00:01,  4.25it/s]\n 90%|█████████ | 45/50 [00:10<00:01,  4.25it/s]\n 92%|█████████▏| 46/50 [00:10<00:00,  4.25it/s]\n 94%|█████████▍| 47/50 [00:11<00:00,  4.25it/s]\n 96%|█████████▌| 48/50 [00:11<00:00,  4.25it/s]\n 98%|█████████▊| 49/50 [00:11<00:00,  4.24it/s]\n100%|██████████| 50/50 [00:11<00:00,  4.24it/s]\n100%|██████████| 50/50 [00:11<00:00,  4.25it/s]",
  "metrics": {
    "predict_time": 16.003729808,
    "total_time": 22.265386
  },
  "output": [
    "https://replicate.delivery/pbxt/JXpYiWG1kyo8PJfQ427rLkh8dwLkrAl4aDFwqnJ6j14Bc6qJA/out-0.png"
  ],
  "started_at": "2024-08-24T08:38:13.195656Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/dp734s8xasrgp0chge4smb2mkm",
    "cancel": "https://api.replicate.com/v1/predictions/dp734s8xasrgp0chge4smb2mkm/cancel"
  },
  "version": "3d58fdf66cb45c08fa5c66f7d59bf103b6e318a4f8220dd55221844885b1d580"
}

{
  "completed_at": "2024-08-24T08:36:25.612408Z",
  "created_at": "2024-08-24T08:36:17.419000Z",
  "data_removed": false,
  "error": null,
  "id": "nv7g7gkhhdrgg0chge3vz6x7d8",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "A logogram of love",
    "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": 25
  },
  "logs": "Using seed: 13636\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> of love\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:05,  4.30it/s]\n  8%|▊         | 2/25 [00:00<00:05,  4.28it/s]\n 12%|█▏        | 3/25 [00:00<00:05,  4.26it/s]\n 16%|█▌        | 4/25 [00:00<00:04,  4.25it/s]\n 20%|██        | 5/25 [00:01<00:04,  4.25it/s]\n 24%|██▍       | 6/25 [00:01<00:04,  4.25it/s]\n 28%|██▊       | 7/25 [00:01<00:04,  4.25it/s]\n 32%|███▏      | 8/25 [00:01<00:04,  4.25it/s]\n 36%|███▌      | 9/25 [00:02<00:03,  4.25it/s]\n 40%|████      | 10/25 [00:02<00:03,  4.25it/s]\n 44%|████▍     | 11/25 [00:02<00:03,  4.24it/s]\n 48%|████▊     | 12/25 [00:02<00:03,  4.24it/s]\n 52%|█████▏    | 13/25 [00:03<00:02,  4.24it/s]\n 56%|█████▌    | 14/25 [00:03<00:02,  4.24it/s]\n 60%|██████    | 15/25 [00:03<00:02,  4.25it/s]\n 64%|██████▍   | 16/25 [00:03<00:02,  4.24it/s]\n 68%|██████▊   | 17/25 [00:04<00:01,  4.24it/s]\n 72%|███████▏  | 18/25 [00:04<00:01,  4.24it/s]\n 76%|███████▌  | 19/25 [00:04<00:01,  4.24it/s]\n 80%|████████  | 20/25 [00:04<00:01,  4.23it/s]\n 84%|████████▍ | 21/25 [00:04<00:00,  4.24it/s]\n 88%|████████▊ | 22/25 [00:05<00:00,  4.24it/s]\n 92%|█████████▏| 23/25 [00:05<00:00,  4.24it/s]\n 96%|█████████▌| 24/25 [00:05<00:00,  4.24it/s]\n100%|██████████| 25/25 [00:05<00:00,  4.24it/s]\n100%|██████████| 25/25 [00:05<00:00,  4.24it/s]",
  "metrics": {
    "predict_time": 8.153859112,
    "total_time": 8.193408
  },
  "output": [
    "https://replicate.delivery/pbxt/Qllq2r49Ki57JN7ZGbGCaozdAmJKfPCfC0XZckk8m2xI20VTA/out-0.png"
  ],
  "started_at": "2024-08-24T08:36:17.458548Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/nv7g7gkhhdrgg0chge3vz6x7d8",
    "cancel": "https://api.replicate.com/v1/predictions/nv7g7gkhhdrgg0chge3vz6x7d8/cancel"
  },
  "version": "3d58fdf66cb45c08fa5c66f7d59bf103b6e318a4f8220dd55221844885b1d580"
}

{
  "completed_at": "2024-08-24T08:36:52.125838Z",
  "created_at": "2024-08-24T08:36:42.847000Z",
  "data_removed": false,
  "error": null,
  "id": "nbx9vn6mvxrgj0chge3rfk36bm",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "A logogram of poetry",
    "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": 25
  },
  "logs": "Using seed: 5587\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> of poetry\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:05,  4.29it/s]\n  8%|▊         | 2/25 [00:00<00:05,  4.28it/s]\n 12%|█▏        | 3/25 [00:00<00:05,  4.27it/s]\n 16%|█▌        | 4/25 [00:00<00:04,  4.26it/s]\n 20%|██        | 5/25 [00:01<00:04,  4.24it/s]\n 24%|██▍       | 6/25 [00:01<00:04,  4.24it/s]\n 28%|██▊       | 7/25 [00:01<00:04,  4.24it/s]\n 32%|███▏      | 8/25 [00:01<00:04,  4.24it/s]\n 36%|███▌      | 9/25 [00:02<00:03,  4.24it/s]\n 40%|████      | 10/25 [00:02<00:03,  4.23it/s]\n 44%|████▍     | 11/25 [00:02<00:03,  4.23it/s]\n 48%|████▊     | 12/25 [00:02<00:03,  4.24it/s]\n 52%|█████▏    | 13/25 [00:03<00:02,  4.23it/s]\n 56%|█████▌    | 14/25 [00:03<00:02,  4.23it/s]\n 60%|██████    | 15/25 [00:03<00:02,  4.23it/s]\n 64%|██████▍   | 16/25 [00:03<00:02,  4.23it/s]\n 68%|██████▊   | 17/25 [00:04<00:01,  4.23it/s]\n 72%|███████▏  | 18/25 [00:04<00:01,  4.23it/s]\n 76%|███████▌  | 19/25 [00:04<00:01,  4.23it/s]\n 80%|████████  | 20/25 [00:04<00:01,  4.23it/s]\n 84%|████████▍ | 21/25 [00:04<00:00,  4.23it/s]\n 88%|████████▊ | 22/25 [00:05<00:00,  4.23it/s]\n 92%|█████████▏| 23/25 [00:05<00:00,  4.24it/s]\n 96%|█████████▌| 24/25 [00:05<00:00,  4.23it/s]\n100%|██████████| 25/25 [00:05<00:00,  4.24it/s]\n100%|██████████| 25/25 [00:05<00:00,  4.24it/s]",
  "metrics": {
    "predict_time": 8.231482463,
    "total_time": 9.278838
  },
  "output": [
    "https://replicate.delivery/pbxt/O5Q3A5owf9SzFinzAbeKEHdrJVzSiDIKyh0Um2xmdwWi20VTA/out-0.png"
  ],
  "started_at": "2024-08-24T08:36:43.894356Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/nbx9vn6mvxrgj0chge3rfk36bm",
    "cancel": "https://api.replicate.com/v1/predictions/nbx9vn6mvxrgj0chge3rfk36bm/cancel"
  },
  "version": "3d58fdf66cb45c08fa5c66f7d59bf103b6e318a4f8220dd55221844885b1d580"
}

{
  "completed_at": "2024-08-24T08:37:43.592176Z",
  "created_at": "2024-08-24T08:37:29.436000Z",
  "data_removed": false,
  "error": null,
  "id": "qrfmjsmavhrgj0chge48fjw0rc",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "A logogram of resilience",
    "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: 18920\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> of resilience\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:11,  4.29it/s]\n  4%|▍         | 2/50 [00:00<00:11,  4.27it/s]\n  6%|▌         | 3/50 [00:00<00:11,  4.27it/s]\n  8%|▊         | 4/50 [00:00<00:10,  4.25it/s]\n 10%|█         | 5/50 [00:01<00:10,  4.24it/s]\n 12%|█▏        | 6/50 [00:01<00:10,  4.25it/s]\n 14%|█▍        | 7/50 [00:01<00:10,  4.24it/s]\n 16%|█▌        | 8/50 [00:01<00:09,  4.24it/s]\n 18%|█▊        | 9/50 [00:02<00:09,  4.23it/s]\n 20%|██        | 10/50 [00:02<00:09,  4.23it/s]\n 22%|██▏       | 11/50 [00:02<00:09,  4.23it/s]\n 24%|██▍       | 12/50 [00:02<00:08,  4.24it/s]\n 26%|██▌       | 13/50 [00:03<00:08,  4.25it/s]\n 28%|██▊       | 14/50 [00:03<00:08,  4.25it/s]\n 30%|███       | 15/50 [00:03<00:08,  4.25it/s]\n 32%|███▏      | 16/50 [00:03<00:07,  4.26it/s]\n 34%|███▍      | 17/50 [00:04<00:07,  4.26it/s]\n 36%|███▌      | 18/50 [00:04<00:07,  4.25it/s]\n 38%|███▊      | 19/50 [00:04<00:07,  4.26it/s]\n 40%|████      | 20/50 [00:04<00:07,  4.25it/s]\n 42%|████▏     | 21/50 [00:04<00:06,  4.26it/s]\n 44%|████▍     | 22/50 [00:05<00:06,  4.25it/s]\n 46%|████▌     | 23/50 [00:05<00:06,  4.25it/s]\n 48%|████▊     | 24/50 [00:05<00:06,  4.25it/s]\n 50%|█████     | 25/50 [00:05<00:05,  4.25it/s]\n 52%|█████▏    | 26/50 [00:06<00:05,  4.25it/s]\n 54%|█████▍    | 27/50 [00:06<00:05,  4.25it/s]\n 56%|█████▌    | 28/50 [00:06<00:05,  4.25it/s]\n 58%|█████▊    | 29/50 [00:06<00:04,  4.25it/s]\n 60%|██████    | 30/50 [00:07<00:04,  4.25it/s]\n 62%|██████▏   | 31/50 [00:07<00:04,  4.25it/s]\n 64%|██████▍   | 32/50 [00:07<00:04,  4.25it/s]\n 66%|██████▌   | 33/50 [00:07<00:03,  4.25it/s]\n 68%|██████▊   | 34/50 [00:07<00:03,  4.25it/s]\n 70%|███████   | 35/50 [00:08<00:03,  4.25it/s]\n 72%|███████▏  | 36/50 [00:08<00:03,  4.25it/s]\n 74%|███████▍  | 37/50 [00:08<00:03,  4.25it/s]\n 76%|███████▌  | 38/50 [00:08<00:02,  4.26it/s]\n 78%|███████▊  | 39/50 [00:09<00:02,  4.25it/s]\n 80%|████████  | 40/50 [00:09<00:02,  4.25it/s]\n 82%|████████▏ | 41/50 [00:09<00:02,  4.25it/s]\n 84%|████████▍ | 42/50 [00:09<00:01,  4.25it/s]\n 86%|████████▌ | 43/50 [00:10<00:01,  4.25it/s]\n 88%|████████▊ | 44/50 [00:10<00:01,  4.25it/s]\n 90%|█████████ | 45/50 [00:10<00:01,  4.25it/s]\n 92%|█████████▏| 46/50 [00:10<00:00,  4.25it/s]\n 94%|█████████▍| 47/50 [00:11<00:00,  4.25it/s]\n 96%|█████████▌| 48/50 [00:11<00:00,  4.25it/s]\n 98%|█████████▊| 49/50 [00:11<00:00,  4.25it/s]\n100%|██████████| 50/50 [00:11<00:00,  4.25it/s]\n100%|██████████| 50/50 [00:11<00:00,  4.25it/s]",
  "metrics": {
    "predict_time": 14.11711778,
    "total_time": 14.156176
  },
  "output": [
    "https://replicate.delivery/pbxt/stuP5ff7wUgR8UQC4JBNPUWSpdXkozaD6CZdmaXiNq7W30VTA/out-0.png"
  ],
  "started_at": "2024-08-24T08:37:29.475059Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/qrfmjsmavhrgj0chge48fjw0rc",
    "cancel": "https://api.replicate.com/v1/predictions/qrfmjsmavhrgj0chge48fjw0rc/cancel"
  },
  "version": "3d58fdf66cb45c08fa5c66f7d59bf103b6e318a4f8220dd55221844885b1d580"
}

{
  "completed_at": "2024-08-24T08:41:12.079036Z",
  "created_at": "2024-08-24T08:40:38.816000Z",
  "data_removed": false,
  "error": null,
  "id": "16srq4kem1rgm0chge5v18xbk0",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "A logogram of happiness",
    "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: 27019\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: A <s0><s1> of happiness\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:11,  4.31it/s]\n  4%|▍         | 2/50 [00:00<00:11,  4.29it/s]\n  6%|▌         | 3/50 [00:00<00:11,  4.27it/s]\n  8%|▊         | 4/50 [00:00<00:10,  4.26it/s]\n 10%|█         | 5/50 [00:01<00:10,  4.27it/s]\n 12%|█▏        | 6/50 [00:01<00:10,  4.26it/s]\n 14%|█▍        | 7/50 [00:01<00:10,  4.26it/s]\n 16%|█▌        | 8/50 [00:01<00:09,  4.26it/s]\n 18%|█▊        | 9/50 [00:02<00:09,  4.27it/s]\n 20%|██        | 10/50 [00:02<00:09,  4.27it/s]\n 22%|██▏       | 11/50 [00:02<00:09,  4.28it/s]\n 24%|██▍       | 12/50 [00:02<00:08,  4.28it/s]\n 26%|██▌       | 13/50 [00:03<00:08,  4.28it/s]\n 28%|██▊       | 14/50 [00:03<00:08,  4.28it/s]\n 30%|███       | 15/50 [00:03<00:08,  4.28it/s]\n 32%|███▏      | 16/50 [00:03<00:07,  4.28it/s]\n 34%|███▍      | 17/50 [00:03<00:07,  4.28it/s]\n 36%|███▌      | 18/50 [00:04<00:07,  4.28it/s]\n 38%|███▊      | 19/50 [00:04<00:07,  4.27it/s]\n 40%|████      | 20/50 [00:04<00:07,  4.27it/s]\n 42%|████▏     | 21/50 [00:04<00:06,  4.27it/s]\n 44%|████▍     | 22/50 [00:05<00:06,  4.27it/s]\n 46%|████▌     | 23/50 [00:05<00:06,  4.27it/s]\n 48%|████▊     | 24/50 [00:05<00:06,  4.27it/s]\n 50%|█████     | 25/50 [00:05<00:05,  4.27it/s]\n 52%|█████▏    | 26/50 [00:06<00:05,  4.27it/s]\n 54%|█████▍    | 27/50 [00:06<00:05,  4.27it/s]\n 56%|█████▌    | 28/50 [00:06<00:05,  4.27it/s]\n 58%|█████▊    | 29/50 [00:06<00:04,  4.27it/s]\n 60%|██████    | 30/50 [00:07<00:04,  4.27it/s]\n 62%|██████▏   | 31/50 [00:07<00:04,  4.27it/s]\n 64%|██████▍   | 32/50 [00:07<00:04,  4.27it/s]\n 66%|██████▌   | 33/50 [00:07<00:03,  4.27it/s]\n 68%|██████▊   | 34/50 [00:07<00:03,  4.27it/s]\n 70%|███████   | 35/50 [00:08<00:03,  4.27it/s]\n 72%|███████▏  | 36/50 [00:08<00:03,  4.27it/s]\n 74%|███████▍  | 37/50 [00:08<00:03,  4.27it/s]\n 76%|███████▌  | 38/50 [00:08<00:02,  4.27it/s]\n 78%|███████▊  | 39/50 [00:09<00:02,  4.27it/s]\n 80%|████████  | 40/50 [00:09<00:02,  4.27it/s]\n 82%|████████▏ | 41/50 [00:09<00:02,  4.27it/s]\n 84%|████████▍ | 42/50 [00:09<00:01,  4.27it/s]\n 86%|████████▌ | 43/50 [00:10<00:01,  4.27it/s]\n 88%|████████▊ | 44/50 [00:10<00:01,  4.27it/s]\n 90%|█████████ | 45/50 [00:10<00:01,  4.27it/s]\n 92%|█████████▏| 46/50 [00:10<00:00,  4.27it/s]\n 94%|█████████▍| 47/50 [00:11<00:00,  4.27it/s]\n 96%|█████████▌| 48/50 [00:11<00:00,  4.26it/s]\n 98%|█████████▊| 49/50 [00:11<00:00,  4.26it/s]\n100%|██████████| 50/50 [00:11<00:00,  4.26it/s]\n100%|██████████| 50/50 [00:11<00:00,  4.27it/s]",
  "metrics": {
    "predict_time": 15.976205971,
    "total_time": 33.263036
  },
  "output": [
    "https://replicate.delivery/pbxt/ckX6RLJdefqCBkXpg2IYLw42ZXeXQNGiy4DQ7T6X2gMN1prmA/out-0.png"
  ],
  "started_at": "2024-08-24T08:40:56.102830Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/16srq4kem1rgm0chge5v18xbk0",
    "cancel": "https://api.replicate.com/v1/predictions/16srq4kem1rgm0chge5v18xbk0/cancel"
  },
  "version": "3d58fdf66cb45c08fa5c66f7d59bf103b6e318a4f8220dd55221844885b1d580"
}

{
  "completed_at": "2024-08-24T08:41:36.176826Z",
  "created_at": "2024-08-24T08:41:22.007000Z",
  "data_removed": false,
  "error": null,
  "id": "jqarca8qaxrgj0chge6b22d1ew",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "A logogram of grief",
    "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: 57698\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> of grief\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:11,  4.28it/s]\n  4%|▍         | 2/50 [00:00<00:11,  4.27it/s]\n  6%|▌         | 3/50 [00:00<00:11,  4.26it/s]\n  8%|▊         | 4/50 [00:00<00:10,  4.25it/s]\n 10%|█         | 5/50 [00:01<00:10,  4.24it/s]\n 12%|█▏        | 6/50 [00:01<00:10,  4.24it/s]\n 14%|█▍        | 7/50 [00:01<00:10,  4.24it/s]\n 16%|█▌        | 8/50 [00:01<00:09,  4.24it/s]\n 18%|█▊        | 9/50 [00:02<00:09,  4.24it/s]\n 20%|██        | 10/50 [00:02<00:09,  4.24it/s]\n 22%|██▏       | 11/50 [00:02<00:09,  4.23it/s]\n 24%|██▍       | 12/50 [00:02<00:08,  4.23it/s]\n 26%|██▌       | 13/50 [00:03<00:08,  4.23it/s]\n 28%|██▊       | 14/50 [00:03<00:08,  4.23it/s]\n 30%|███       | 15/50 [00:03<00:08,  4.23it/s]\n 32%|███▏      | 16/50 [00:03<00:08,  4.23it/s]\n 34%|███▍      | 17/50 [00:04<00:07,  4.23it/s]\n 36%|███▌      | 18/50 [00:04<00:07,  4.23it/s]\n 38%|███▊      | 19/50 [00:04<00:07,  4.24it/s]\n 40%|████      | 20/50 [00:04<00:07,  4.25it/s]\n 42%|████▏     | 21/50 [00:04<00:06,  4.25it/s]\n 44%|████▍     | 22/50 [00:05<00:06,  4.25it/s]\n 46%|████▌     | 23/50 [00:05<00:06,  4.25it/s]\n 48%|████▊     | 24/50 [00:05<00:06,  4.25it/s]\n 50%|█████     | 25/50 [00:05<00:05,  4.25it/s]\n 52%|█████▏    | 26/50 [00:06<00:05,  4.26it/s]\n 54%|█████▍    | 27/50 [00:06<00:05,  4.26it/s]\n 56%|█████▌    | 28/50 [00:06<00:05,  4.26it/s]\n 58%|█████▊    | 29/50 [00:06<00:04,  4.26it/s]\n 60%|██████    | 30/50 [00:07<00:04,  4.26it/s]\n 62%|██████▏   | 31/50 [00:07<00:04,  4.26it/s]\n 64%|██████▍   | 32/50 [00:07<00:04,  4.26it/s]\n 66%|██████▌   | 33/50 [00:07<00:03,  4.25it/s]\n 68%|██████▊   | 34/50 [00:08<00:03,  4.25it/s]\n 70%|███████   | 35/50 [00:08<00:03,  4.25it/s]\n 72%|███████▏  | 36/50 [00:08<00:03,  4.26it/s]\n 74%|███████▍  | 37/50 [00:08<00:03,  4.25it/s]\n 76%|███████▌  | 38/50 [00:08<00:02,  4.25it/s]\n 78%|███████▊  | 39/50 [00:09<00:02,  4.26it/s]\n 80%|████████  | 40/50 [00:09<00:02,  4.25it/s]\n 82%|████████▏ | 41/50 [00:09<00:02,  4.25it/s]\n 84%|████████▍ | 42/50 [00:09<00:01,  4.25it/s]\n 86%|████████▌ | 43/50 [00:10<00:01,  4.26it/s]\n 88%|████████▊ | 44/50 [00:10<00:01,  4.26it/s]\n 90%|█████████ | 45/50 [00:10<00:01,  4.25it/s]\n 92%|█████████▏| 46/50 [00:10<00:00,  4.25it/s]\n 94%|█████████▍| 47/50 [00:11<00:00,  4.25it/s]\n 96%|█████████▌| 48/50 [00:11<00:00,  4.25it/s]\n 98%|█████████▊| 49/50 [00:11<00:00,  4.25it/s]\n100%|██████████| 50/50 [00:11<00:00,  4.25it/s]\n100%|██████████| 50/50 [00:11<00:00,  4.25it/s]",
  "metrics": {
    "predict_time": 14.129051695,
    "total_time": 14.169826
  },
  "output": [
    "https://replicate.delivery/pbxt/e9jlfG1BAKqHqE5m3yJrFZE1OvAMhJFLesnqdWSk9Uz81prmA/out-0.png"
  ],
  "started_at": "2024-08-24T08:41:22.047774Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/jqarca8qaxrgj0chge6b22d1ew",
    "cancel": "https://api.replicate.com/v1/predictions/jqarca8qaxrgj0chge6b22d1ew/cancel"
  },
  "version": "3d58fdf66cb45c08fa5c66f7d59bf103b6e318a4f8220dd55221844885b1d580"
}

{
  "completed_at": "2024-08-24T08:43:09.148480Z",
  "created_at": "2024-08-24T08:42:52.619000Z",
  "data_removed": false,
  "error": null,
  "id": "9wcrkpks9drgm0chge6rdckkf8",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "A logogram of fate",
    "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: 53803\nskipping loading .. weights already loaded\nPrompt: A <s0><s1> of fate\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:11,  4.32it/s]\n  4%|▍         | 2/50 [00:00<00:11,  4.29it/s]\n  6%|▌         | 3/50 [00:00<00:10,  4.28it/s]\n  8%|▊         | 4/50 [00:00<00:10,  4.27it/s]\n 10%|█         | 5/50 [00:01<00:10,  4.27it/s]\n 12%|█▏        | 6/50 [00:01<00:10,  4.26it/s]\n 14%|█▍        | 7/50 [00:01<00:10,  4.27it/s]\n 16%|█▌        | 8/50 [00:01<00:09,  4.26it/s]\n 18%|█▊        | 9/50 [00:02<00:09,  4.25it/s]\n 20%|██        | 10/50 [00:02<00:09,  4.25it/s]\n 22%|██▏       | 11/50 [00:02<00:09,  4.25it/s]\n 24%|██▍       | 12/50 [00:02<00:08,  4.25it/s]\n 26%|██▌       | 13/50 [00:03<00:08,  4.25it/s]\n 28%|██▊       | 14/50 [00:03<00:08,  4.25it/s]\n 30%|███       | 15/50 [00:03<00:08,  4.25it/s]\n 32%|███▏      | 16/50 [00:03<00:08,  4.24it/s]\n 34%|███▍      | 17/50 [00:03<00:07,  4.24it/s]\n 36%|███▌      | 18/50 [00:04<00:07,  4.24it/s]\n 38%|███▊      | 19/50 [00:04<00:07,  4.24it/s]\n 40%|████      | 20/50 [00:04<00:07,  4.24it/s]\n 42%|████▏     | 21/50 [00:04<00:06,  4.24it/s]\n 44%|████▍     | 22/50 [00:05<00:06,  4.24it/s]\n 46%|████▌     | 23/50 [00:05<00:06,  4.24it/s]\n 48%|████▊     | 24/50 [00:05<00:06,  4.24it/s]\n 50%|█████     | 25/50 [00:05<00:05,  4.24it/s]\n 52%|█████▏    | 26/50 [00:06<00:05,  4.24it/s]\n 54%|█████▍    | 27/50 [00:06<00:05,  4.24it/s]\n 56%|█████▌    | 28/50 [00:06<00:05,  4.24it/s]\n 58%|█████▊    | 29/50 [00:06<00:04,  4.24it/s]\n 60%|██████    | 30/50 [00:07<00:04,  4.24it/s]\n 62%|██████▏   | 31/50 [00:07<00:04,  4.24it/s]\n 64%|██████▍   | 32/50 [00:07<00:04,  4.24it/s]\n 66%|██████▌   | 33/50 [00:07<00:04,  4.23it/s]\n 68%|██████▊   | 34/50 [00:08<00:03,  4.23it/s]\n 70%|███████   | 35/50 [00:08<00:03,  4.23it/s]\n 72%|███████▏  | 36/50 [00:08<00:03,  4.23it/s]\n 74%|███████▍  | 37/50 [00:08<00:03,  4.23it/s]\n 76%|███████▌  | 38/50 [00:08<00:02,  4.24it/s]\n 78%|███████▊  | 39/50 [00:09<00:02,  4.23it/s]\n 80%|████████  | 40/50 [00:09<00:02,  4.23it/s]\n 82%|████████▏ | 41/50 [00:09<00:02,  4.24it/s]\n 84%|████████▍ | 42/50 [00:09<00:01,  4.24it/s]\n 86%|████████▌ | 43/50 [00:10<00:01,  4.24it/s]\n 88%|████████▊ | 44/50 [00:10<00:01,  4.23it/s]\n 90%|█████████ | 45/50 [00:10<00:01,  4.23it/s]\n 92%|█████████▏| 46/50 [00:10<00:00,  4.23it/s]\n 94%|█████████▍| 47/50 [00:11<00:00,  4.24it/s]\n 96%|█████████▌| 48/50 [00:11<00:00,  4.24it/s]\n 98%|█████████▊| 49/50 [00:11<00:00,  4.25it/s]\n100%|██████████| 50/50 [00:11<00:00,  4.25it/s]\n100%|██████████| 50/50 [00:11<00:00,  4.24it/s]",
  "metrics": {
    "predict_time": 14.080628305,
    "total_time": 16.52948
  },
  "output": [
    "https://replicate.delivery/pbxt/zuTBOkWdwT7zF9g3HE8w3VH57jhIxhZykSn3ZKEhVe5Ne0VTA/out-0.png"
  ],
  "started_at": "2024-08-24T08:42:55.067852Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/9wcrkpks9drgm0chge6rdckkf8",
    "cancel": "https://api.replicate.com/v1/predictions/9wcrkpks9drgm0chge6rdckkf8/cancel"
  },
  "version": "3d58fdf66cb45c08fa5c66f7d59bf103b6e318a4f8220dd55221844885b1d580"
}

{
  "completed_at": "2024-08-24T20:34:56.914210Z",
  "created_at": "2024-08-24T20:33:09.974000Z",
  "data_removed": false,
  "error": null,
  "id": "ab5kkm63asrgp0chgrbtvfac1w",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "A logogram of anxiety about the future",
    "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: 13696\nEnsuring enough disk space...\nFree disk space: 1925313560576\nDownloading weights: https://replicate.delivery/pbxt/h20ccZDnvm7bM5keC7r13QBr1ckShCmPpNJMkVIfTDL8n0VTA/trained_model.tar\n2024-08-24T20:34:28Z | INFO  | [ Initiating ] chunk_size=150M dest=/src/weights-cache/2223247fbbe84188 url=https://replicate.delivery/pbxt/h20ccZDnvm7bM5keC7r13QBr1ckShCmPpNJMkVIfTDL8n0VTA/trained_model.tar\n2024-08-24T20:34:30Z | INFO  | [ Complete ] dest=/src/weights-cache/2223247fbbe84188 size=\"186 MB\" total_elapsed=1.708s url=https://replicate.delivery/pbxt/h20ccZDnvm7bM5keC7r13QBr1ckShCmPpNJMkVIfTDL8n0VTA/trained_model.tar\nb''\nDownloaded weights in 1.840242624282837 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: A <s0><s1> of anxiety about the future\ntxt2img mode\n  0%|          | 0/50 [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  2%|▏         | 1/50 [00:01<01:01,  1.25s/it]\n  4%|▍         | 2/50 [00:01<00:31,  1.54it/s]\n  6%|▌         | 3/50 [00:01<00:21,  2.17it/s]\n  8%|▊         | 4/50 [00:01<00:17,  2.69it/s]\n 10%|█         | 5/50 [00:02<00:14,  3.10it/s]\n 12%|█▏        | 6/50 [00:02<00:12,  3.41it/s]\n 14%|█▍        | 7/50 [00:02<00:11,  3.64it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.81it/s]\n 18%|█▊        | 9/50 [00:03<00:10,  3.94it/s]\n 20%|██        | 10/50 [00:03<00:09,  4.04it/s]\n 22%|██▏       | 11/50 [00:03<00:09,  4.10it/s]\n 24%|██▍       | 12/50 [00:03<00:09,  4.15it/s]\n 26%|██▌       | 13/50 [00:04<00:08,  4.18it/s]\n 28%|██▊       | 14/50 [00:04<00:08,  4.20it/s]\n 30%|███       | 15/50 [00:04<00:08,  4.21it/s]\n 32%|███▏      | 16/50 [00:04<00:08,  4.23it/s]\n 34%|███▍      | 17/50 [00:05<00:07,  4.24it/s]\n 36%|███▌      | 18/50 [00:05<00:07,  4.25it/s]\n 38%|███▊      | 19/50 [00:05<00:07,  4.26it/s]\n 40%|████      | 20/50 [00:05<00:07,  4.27it/s]\n 42%|████▏     | 21/50 [00:05<00:06,  4.27it/s]\n 44%|████▍     | 22/50 [00:06<00:06,  4.28it/s]\n 46%|████▌     | 23/50 [00:06<00:06,  4.28it/s]\n 48%|████▊     | 24/50 [00:06<00:06,  4.27it/s]\n 50%|█████     | 25/50 [00:06<00:05,  4.28it/s]\n 52%|█████▏    | 26/50 [00:07<00:05,  4.28it/s]\n 54%|█████▍    | 27/50 [00:07<00:05,  4.28it/s]\n 56%|█████▌    | 28/50 [00:07<00:05,  4.28it/s]\n 58%|█████▊    | 29/50 [00:07<00:04,  4.28it/s]\n 60%|██████    | 30/50 [00:08<00:04,  4.27it/s]\n 62%|██████▏   | 31/50 [00:08<00:04,  4.28it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  4.27it/s]\n 66%|██████▌   | 33/50 [00:08<00:03,  4.28it/s]\n 68%|██████▊   | 34/50 [00:08<00:03,  4.27it/s]\n 70%|███████   | 35/50 [00:09<00:03,  4.27it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  4.27it/s]\n 74%|███████▍  | 37/50 [00:09<00:03,  4.27it/s]\n 76%|███████▌  | 38/50 [00:09<00:02,  4.27it/s]\n 78%|███████▊  | 39/50 [00:10<00:02,  4.27it/s]\n 80%|████████  | 40/50 [00:10<00:02,  4.27it/s]\n 82%|████████▏ | 41/50 [00:10<00:02,  4.27it/s]\n 84%|████████▍ | 42/50 [00:10<00:01,  4.27it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  4.27it/s]\n 88%|████████▊ | 44/50 [00:11<00:01,  4.27it/s]\n 90%|█████████ | 45/50 [00:11<00:01,  4.27it/s]\n 92%|█████████▏| 46/50 [00:11<00:00,  4.27it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  4.27it/s]\n 96%|█████████▌| 48/50 [00:12<00:00,  4.27it/s]\n 98%|█████████▊| 49/50 [00:12<00:00,  4.27it/s]\n100%|██████████| 50/50 [00:12<00:00,  4.27it/s]\n100%|██████████| 50/50 [00:12<00:00,  3.93it/s]",
  "metrics": {
    "predict_time": 28.130986255,
    "total_time": 106.94021
  },
  "output": [
    "https://replicate.delivery/pbxt/ELQbcj6CWAKBMhHMVHzmHF7abnXvo2XOW1sBHAqluSA81fqJA/out-0.png"
  ],
  "started_at": "2024-08-24T20:34:28.783223Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ab5kkm63asrgp0chgrbtvfac1w",
    "cancel": "https://api.replicate.com/v1/predictions/ab5kkm63asrgp0chgrbtvfac1w/cancel"
  },
  "version": "3d58fdf66cb45c08fa5c66f7d59bf103b6e318a4f8220dd55221844885b1d580"
}