Prediction

{
  "id": "jragv6ngtbfexgz4t63x6hac7a",
  "model": "cloneofsimo/lora-advanced-training",
  "version": "4161f6a9f0b43301fdb14cd858f3ac91f20544af865bfb3389ee8685ddfdbacd",
  "input": {
    "clip_ti_decay": true,
    "color_jitter": true,
    "continue_inversion_lr": 0.0001,
    "device": "cuda:0",
    "gradient_accumulation_steps": 4,
    "instance_data": "https://replicate.delivery/pbxt/IFXAgZ8lKhYoxaYgwqrbYBVoPgeuZJuJVpf78BHlhuqLI58i/me.zip",
    "learning_rate_text": 0.00001,
    "learning_rate_ti": 0.0005,
    "learning_rate_unet": 0.0001,
    "lora_dropout_p": 0.1,
    "lora_rank": 16,
    "lora_scale": 1,
    "lr_scheduler": "constant",
    "lr_scheduler_lora": "constant",
    "max_train_steps_ti": 500,
    "max_train_steps_tuning": 1000,
    "perform_inversion": true,
    "placeholder_tokens": "<s1>|<s2>",
    "resolution": 512,
    "scale_lr": true,
    "seed": 1337,
    "train_batch_size": 1,
    "train_text_encoder": true,
    "use_face_segmentation_condition": true,
    "use_template": "object",
    "weight_decay_lora": 0.001
  },
  "logs": "Using seed: 1337\nPTI : Initializer Tokens not given, doing random inits\nPTI : Placeholder Tokens ['<s1>', '<s2>']\nPTI : Initializer Tokens ['<rand-0.017>', '<rand-0.017>']\nInitialized <s1> with random noise (sigma=0.017), empirically -0.000 +- 0.017\nNorm : 0.4630\nInitialized <s2> with random noise (sigma=0.017), empirically 0.001 +- 0.017\nNorm : 0.4595\n/root/.pyenv/versions/3.10.9/lib/python3.10/site-packages/diffusers/configuration_utils.py:195: FutureWarning: It is deprecated to pass a pretrained model name or path to `from_config`.If you were trying to load a scheduler, please use <class 'diffusers.schedulers.scheduling_ddpm.DDPMScheduler'>.from_pretrained(...) instead. Otherwise, please make sure to pass a configuration dictionary instead. This functionality will be removed in v1.0.0.\ndeprecate(\"config-passed-as-path\", \"1.0.0\", deprecation_message, standard_warn=False)\nMask not found for cog_instance_data/0.mask.png\nWarning : this will pre-process all the images in the instance data root.\n0%|          | 0/7 [00:00<?, ?it/s]INFO: Created TensorFlow Lite XNNPACK delegate for CPU.\n 71%|███████▏  | 5/7 [00:00<00:00, 48.10it/s]\n100%|██████████| 7/7 [00:00<00:00, 58.04it/s]\n0%|          | 0/500 [00:00<?, ?it/s]\na photo of a <s1><s2>\ntensor([[0.4664],\n[0.4611]], device='cuda:0')\nCurrent Norm : tensor([0.4531, 0.4489], device='cuda:0')\nSteps:   0%|          | 0/500 [00:00<?, ?it/s]\nSteps:   0%|          | 1/500 [00:02<24:50,  2.99s/it]\na photo of a dirty <s1><s2>\nSteps:   0%|          | 1/500 [00:02<24:50,  2.99s/it, loss=0.000201, lr=0.002]\nSteps:   0%|          | 2/500 [00:03<12:11,  1.47s/it, loss=0.000201, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:   0%|          | 2/500 [00:03<12:11,  1.47s/it, loss=0.000732, lr=0.002]\nSteps:   1%|          | 3/500 [00:03<07:32,  1.10it/s, loss=0.000732, lr=0.002]\na bright photo of the <s1><s2>\nSteps:   1%|          | 3/500 [00:03<07:32,  1.10it/s, loss=0.0377, lr=0.002]  \nSteps:   1%|          | 4/500 [00:03<05:29,  1.50it/s, loss=0.0377, lr=0.002]\na photo of a clean <s1><s2>\ntensor([[0.4567],\n[0.4518]], device='cuda:0')\nCurrent Norm : tensor([0.4453, 0.4415], device='cuda:0')\nSteps:   1%|          | 4/500 [00:03<05:29,  1.50it/s, loss=0.000362, lr=0.002]\nSteps:   1%|          | 5/500 [00:04<04:16,  1.93it/s, loss=0.000362, lr=0.002]\na photo of the cool <s1><s2>\nSteps:   1%|          | 5/500 [00:04<04:16,  1.93it/s, loss=0.0665, lr=0.002]  \nSteps:   1%|          | 6/500 [00:04<03:30,  2.34it/s, loss=0.0665, lr=0.002]\na good photo of a <s1><s2>\nSteps:   1%|          | 6/500 [00:04<03:30,  2.34it/s, loss=0.00297, lr=0.002]\nSteps:   1%|▏         | 7/500 [00:04<03:07,  2.63it/s, loss=0.00297, lr=0.002]\na rendition of the <s1><s2>\nSteps:   1%|▏         | 7/500 [00:04<03:07,  2.63it/s, loss=0.0443, lr=0.002] \nSteps:   2%|▏         | 8/500 [00:04<02:47,  2.94it/s, loss=0.0443, lr=0.002]\na rendition of the <s1><s2>\ntensor([[0.4493],\n[0.4459]], device='cuda:0')\nCurrent Norm : tensor([0.4395, 0.4367], device='cuda:0')\nSteps:   2%|▏         | 8/500 [00:04<02:47,  2.94it/s, loss=0.00504, lr=0.002]\nSteps:   2%|▏         | 9/500 [00:05<02:57,  2.76it/s, loss=0.00504, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:   2%|▏         | 9/500 [00:05<02:57,  2.76it/s, loss=0.000178, lr=0.002]\nSteps:   2%|▏         | 10/500 [00:05<02:54,  2.81it/s, loss=0.000178, lr=0.002]\na photo of the small <s1><s2>\nSteps:   2%|▏         | 10/500 [00:05<02:54,  2.81it/s, loss=0.00148, lr=0.002] \nSteps:   2%|▏         | 11/500 [00:06<02:45,  2.95it/s, loss=0.00148, lr=0.002]\na photo of my <s1><s2>\nSteps:   2%|▏         | 11/500 [00:06<02:45,  2.95it/s, loss=0.065, lr=0.002]  \nSteps:   2%|▏         | 12/500 [00:06<03:05,  2.63it/s, loss=0.065, lr=0.002]\na good photo of a <s1><s2>\ntensor([[0.4438],\n[0.4411]], device='cuda:0')\nCurrent Norm : tensor([0.4350, 0.4328], device='cuda:0')\nSteps:   2%|▏         | 12/500 [00:06<03:05,  2.63it/s, loss=0.00173, lr=0.002]\nSteps:   3%|▎         | 13/500 [00:06<02:50,  2.85it/s, loss=0.00173, lr=0.002]\na dark photo of the <s1><s2>\nSteps:   3%|▎         | 13/500 [00:06<02:50,  2.85it/s, loss=0.00652, lr=0.002]\nSteps:   3%|▎         | 14/500 [00:07<02:41,  3.01it/s, loss=0.00652, lr=0.002]\nthe photo of a <s1><s2>\nSteps:   3%|▎         | 14/500 [00:07<02:41,  3.01it/s, loss=0.000898, lr=0.002]\nSteps:   3%|▎         | 15/500 [00:07<02:52,  2.82it/s, loss=0.000898, lr=0.002]\na photo of the nice <s1><s2>\nSteps:   3%|▎         | 15/500 [00:07<02:52,  2.82it/s, loss=0.00124, lr=0.002] \nSteps:   3%|▎         | 16/500 [00:07<03:00,  2.68it/s, loss=0.00124, lr=0.002]\na close-up photo of a <s1><s2>\ntensor([[0.4386],\n[0.4360]], device='cuda:0')\nCurrent Norm : tensor([0.4309, 0.4288], device='cuda:0')\nSteps:   3%|▎         | 16/500 [00:07<03:00,  2.68it/s, loss=0.0152, lr=0.002] \nSteps:   3%|▎         | 17/500 [00:08<02:46,  2.90it/s, loss=0.0152, lr=0.002]\na dark photo of the <s1><s2>\nSteps:   3%|▎         | 17/500 [00:08<02:46,  2.90it/s, loss=0.000531, lr=0.002]\nSteps:   4%|▎         | 18/500 [00:08<02:35,  3.11it/s, loss=0.000531, lr=0.002]\na good photo of the <s1><s2>\nSteps:   4%|▎         | 18/500 [00:08<02:35,  3.11it/s, loss=0.00043, lr=0.002] \nSteps:   4%|▍         | 19/500 [00:08<02:28,  3.24it/s, loss=0.00043, lr=0.002]\na photo of a small <s1><s2>\nSteps:   4%|▍         | 19/500 [00:08<02:28,  3.24it/s, loss=0.0199, lr=0.002] \nSteps:   4%|▍         | 20/500 [00:08<02:20,  3.41it/s, loss=0.0199, lr=0.002]\na close-up photo of the <s1><s2>\ntensor([[0.4347],\n[0.4330]], device='cuda:0')\nCurrent Norm : tensor([0.4278, 0.4264], device='cuda:0')\nSteps:   4%|▍         | 20/500 [00:08<02:20,  3.41it/s, loss=0.011, lr=0.002] \nSteps:   4%|▍         | 21/500 [00:09<02:20,  3.40it/s, loss=0.011, lr=0.002]\na photo of the <s1><s2>\nSteps:   4%|▍         | 21/500 [00:09<02:20,  3.40it/s, loss=0.00989, lr=0.002]\nSteps:   4%|▍         | 22/500 [00:09<02:14,  3.55it/s, loss=0.00989, lr=0.002]\na rendition of a <s1><s2>\nSteps:   4%|▍         | 22/500 [00:09<02:14,  3.55it/s, loss=0.00407, lr=0.002]\nSteps:   5%|▍         | 23/500 [00:09<02:31,  3.15it/s, loss=0.00407, lr=0.002]\na photo of my <s1><s2>\nSteps:   5%|▍         | 23/500 [00:09<02:31,  3.15it/s, loss=0.00994, lr=0.002]\nSteps:   5%|▍         | 24/500 [00:10<02:21,  3.36it/s, loss=0.00994, lr=0.002]\na photo of a <s1><s2>\ntensor([[0.4320],\n[0.4311]], device='cuda:0')\nCurrent Norm : tensor([0.4256, 0.4249], device='cuda:0')\nSteps:   5%|▍         | 24/500 [00:10<02:21,  3.36it/s, loss=0.00795, lr=0.002]\nSteps:   5%|▌         | 25/500 [00:10<02:36,  3.03it/s, loss=0.00795, lr=0.002]\na photo of the nice <s1><s2>\nSteps:   5%|▌         | 25/500 [00:10<02:36,  3.03it/s, loss=0.00214, lr=0.002]\nSteps:   5%|▌         | 26/500 [00:10<02:29,  3.17it/s, loss=0.00214, lr=0.002]\na photo of the clean <s1><s2>\nSteps:   5%|▌         | 26/500 [00:10<02:29,  3.17it/s, loss=0.0173, lr=0.002] \nSteps:   5%|▌         | 27/500 [00:11<02:27,  3.21it/s, loss=0.0173, lr=0.002]\na photo of a <s1><s2>\nSteps:   5%|▌         | 27/500 [00:11<02:27,  3.21it/s, loss=0.000279, lr=0.002]\nSteps:   6%|▌         | 28/500 [00:11<02:21,  3.33it/s, loss=0.000279, lr=0.002]\na photo of a small <s1><s2>\ntensor([[0.4300],\n[0.4298]], device='cuda:0')\nCurrent Norm : tensor([0.4240, 0.4239], device='cuda:0')\nSteps:   6%|▌         | 28/500 [00:11<02:21,  3.33it/s, loss=0.00361, lr=0.002] \nSteps:   6%|▌         | 29/500 [00:11<02:42,  2.89it/s, loss=0.00361, lr=0.002]\na cropped photo of a <s1><s2>\nSteps:   6%|▌         | 29/500 [00:11<02:42,  2.89it/s, loss=0.00475, lr=0.002]\nSteps:   6%|▌         | 30/500 [00:12<02:52,  2.72it/s, loss=0.00475, lr=0.002]\na good photo of the <s1><s2>\nSteps:   6%|▌         | 30/500 [00:12<02:52,  2.72it/s, loss=0.00284, lr=0.002]\nSteps:   6%|▌         | 31/500 [00:12<02:42,  2.89it/s, loss=0.00284, lr=0.002]\na photo of the weird <s1><s2>\nSteps:   6%|▌         | 31/500 [00:12<02:42,  2.89it/s, loss=0.00341, lr=0.002]\nSteps:   6%|▋         | 32/500 [00:12<02:28,  3.14it/s, loss=0.00341, lr=0.002]\na photo of my <s1><s2>\ntensor([[0.4286],\n[0.4289]], device='cuda:0')\nCurrent Norm : tensor([0.4229, 0.4231], device='cuda:0')\nSteps:   6%|▋         | 32/500 [00:12<02:28,  3.14it/s, loss=0.0215, lr=0.002] \nSteps:   7%|▋         | 33/500 [00:13<02:23,  3.26it/s, loss=0.0215, lr=0.002]\na good photo of a <s1><s2>\nSteps:   7%|▋         | 33/500 [00:13<02:23,  3.26it/s, loss=0.00195, lr=0.002]\nSteps:   7%|▋         | 34/500 [00:13<02:15,  3.43it/s, loss=0.00195, lr=0.002]\na photo of the cool <s1><s2>\nSteps:   7%|▋         | 34/500 [00:13<02:15,  3.43it/s, loss=0.0122, lr=0.002] \nSteps:   7%|▋         | 35/500 [00:13<02:14,  3.45it/s, loss=0.0122, lr=0.002]\na photo of the clean <s1><s2>\nSteps:   7%|▋         | 35/500 [00:13<02:14,  3.45it/s, loss=0.00298, lr=0.002]\nSteps:   7%|▋         | 36/500 [00:13<02:10,  3.56it/s, loss=0.00298, lr=0.002]\na photo of my <s1><s2>\ntensor([[0.4275],\n[0.4282]], device='cuda:0')\nCurrent Norm : tensor([0.4220, 0.4226], device='cuda:0')\nSteps:   7%|▋         | 36/500 [00:13<02:10,  3.56it/s, loss=0.0036, lr=0.002] \nSteps:   7%|▋         | 37/500 [00:14<02:13,  3.48it/s, loss=0.0036, lr=0.002]\na photo of a nice <s1><s2>\nSteps:   7%|▋         | 37/500 [00:14<02:13,  3.48it/s, loss=0.0507, lr=0.002]\nSteps:   8%|▊         | 38/500 [00:14<02:14,  3.44it/s, loss=0.0507, lr=0.002]\na cropped photo of a <s1><s2>\nSteps:   8%|▊         | 38/500 [00:14<02:14,  3.44it/s, loss=0.018, lr=0.002] \nSteps:   8%|▊         | 39/500 [00:14<02:11,  3.52it/s, loss=0.018, lr=0.002]\na photo of one <s1><s2>\nSteps:   8%|▊         | 39/500 [00:14<02:11,  3.52it/s, loss=0.000697, lr=0.002]\nSteps:   8%|▊         | 40/500 [00:15<02:25,  3.16it/s, loss=0.000697, lr=0.002]\na photo of the <s1><s2>\ntensor([[0.4266],\n[0.4275]], device='cuda:0')\nCurrent Norm : tensor([0.4213, 0.4220], device='cuda:0')\nSteps:   8%|▊         | 40/500 [00:15<02:25,  3.16it/s, loss=0.000108, lr=0.002]\nSteps:   8%|▊         | 41/500 [00:15<02:15,  3.38it/s, loss=0.000108, lr=0.002]\na photo of a small <s1><s2>\nSteps:   8%|▊         | 41/500 [00:15<02:15,  3.38it/s, loss=0.0312, lr=0.002]  \nSteps:   8%|▊         | 42/500 [00:15<02:28,  3.08it/s, loss=0.0312, lr=0.002]\na rendering of a <s1><s2>\nSteps:   8%|▊         | 42/500 [00:15<02:28,  3.08it/s, loss=0.00149, lr=0.002]\nSteps:   9%|▊         | 43/500 [00:16<02:35,  2.93it/s, loss=0.00149, lr=0.002]\na bright photo of the <s1><s2>\nSteps:   9%|▊         | 43/500 [00:16<02:35,  2.93it/s, loss=0.00488, lr=0.002]\nSteps:   9%|▉         | 44/500 [00:16<02:24,  3.16it/s, loss=0.00488, lr=0.002]\na photo of a cool <s1><s2>\ntensor([[0.4260],\n[0.4269]], device='cuda:0')\nCurrent Norm : tensor([0.4208, 0.4215], device='cuda:0')\nSteps:   9%|▉         | 44/500 [00:16<02:24,  3.16it/s, loss=0.000548, lr=0.002]\nSteps:   9%|▉         | 45/500 [00:16<02:15,  3.37it/s, loss=0.000548, lr=0.002]\na photo of my <s1><s2>\nSteps:   9%|▉         | 45/500 [00:16<02:15,  3.37it/s, loss=0.00175, lr=0.002] \nSteps:   9%|▉         | 46/500 [00:16<02:08,  3.54it/s, loss=0.00175, lr=0.002]\na photo of the <s1><s2>\nSteps:   9%|▉         | 46/500 [00:16<02:08,  3.54it/s, loss=0.002, lr=0.002]  \nSteps:   9%|▉         | 47/500 [00:17<02:26,  3.09it/s, loss=0.002, lr=0.002]\na photo of a cool <s1><s2>\nSteps:   9%|▉         | 47/500 [00:17<02:26,  3.09it/s, loss=0.00262, lr=0.002]\nSteps:  10%|▉         | 48/500 [00:17<02:20,  3.23it/s, loss=0.00262, lr=0.002]\na cropped photo of a <s1><s2>\ntensor([[0.4255],\n[0.4262]], device='cuda:0')\nCurrent Norm : tensor([0.4204, 0.4210], device='cuda:0')\nSteps:  10%|▉         | 48/500 [00:17<02:20,  3.23it/s, loss=0.0013, lr=0.002] \nSteps:  10%|▉         | 49/500 [00:17<02:12,  3.40it/s, loss=0.0013, lr=0.002]\na rendition of the <s1><s2>\nSteps:  10%|▉         | 49/500 [00:17<02:12,  3.40it/s, loss=0.0399, lr=0.002]\nSteps:  10%|█         | 50/500 [00:18<02:05,  3.57it/s, loss=0.0399, lr=0.002]\na photo of a <s1><s2>\nSteps:  10%|█         | 50/500 [00:18<02:05,  3.57it/s, loss=0.00032, lr=0.002]\nSteps:  10%|█         | 51/500 [00:18<02:05,  3.58it/s, loss=0.00032, lr=0.002]\na dark photo of the <s1><s2>\nSteps:  10%|█         | 51/500 [00:18<02:05,  3.58it/s, loss=0.0014, lr=0.002] \nSteps:  10%|█         | 52/500 [00:18<02:01,  3.70it/s, loss=0.0014, lr=0.002]\na close-up photo of a <s1><s2>\ntensor([[0.4253],\n[0.4257]], device='cuda:0')\nCurrent Norm : tensor([0.4202, 0.4205], device='cuda:0')\nSteps:  10%|█         | 52/500 [00:18<02:01,  3.70it/s, loss=0.00244, lr=0.002]\nSteps:  11%|█         | 53/500 [00:19<02:16,  3.27it/s, loss=0.00244, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:  11%|█         | 53/500 [00:19<02:16,  3.27it/s, loss=0.00279, lr=0.002]\nSteps:  11%|█         | 54/500 [00:19<02:08,  3.47it/s, loss=0.00279, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  11%|█         | 54/500 [00:19<02:08,  3.47it/s, loss=0.00102, lr=0.002]\nSteps:  11%|█         | 55/500 [00:19<02:05,  3.55it/s, loss=0.00102, lr=0.002]\na photo of the cool <s1><s2>\nSteps:  11%|█         | 55/500 [00:19<02:05,  3.55it/s, loss=0.0129, lr=0.002] \nSteps:  11%|█         | 56/500 [00:20<02:23,  3.09it/s, loss=0.0129, lr=0.002]\na close-up photo of a <s1><s2>\ntensor([[0.4240],\n[0.4242]], device='cuda:0')\nCurrent Norm : tensor([0.4192, 0.4193], device='cuda:0')\nSteps:  11%|█         | 56/500 [00:20<02:23,  3.09it/s, loss=0.00633, lr=0.002]\nSteps:  11%|█▏        | 57/500 [00:20<02:15,  3.28it/s, loss=0.00633, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  11%|█▏        | 57/500 [00:20<02:15,  3.28it/s, loss=0.00333, lr=0.002]\nSteps:  12%|█▏        | 58/500 [00:20<02:09,  3.40it/s, loss=0.00333, lr=0.002]\na photo of the small <s1><s2>\nSteps:  12%|█▏        | 58/500 [00:20<02:09,  3.40it/s, loss=0.000857, lr=0.002]\nSteps:  12%|█▏        | 59/500 [00:20<02:07,  3.45it/s, loss=0.000857, lr=0.002]\na photo of a clean <s1><s2>\nSteps:  12%|█▏        | 59/500 [00:20<02:07,  3.45it/s, loss=0.00769, lr=0.002] \nSteps:  12%|█▏        | 60/500 [00:21<02:24,  3.05it/s, loss=0.00769, lr=0.002]\na photo of my <s1><s2>\ntensor([[0.4232],\n[0.4233]], device='cuda:0')\nCurrent Norm : tensor([0.4186, 0.4186], device='cuda:0')\nSteps:  12%|█▏        | 60/500 [00:21<02:24,  3.05it/s, loss=0.00254, lr=0.002]\nSteps:  12%|█▏        | 61/500 [00:21<02:15,  3.25it/s, loss=0.00254, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  12%|█▏        | 61/500 [00:21<02:15,  3.25it/s, loss=0.000715, lr=0.002]\nSteps:  12%|█▏        | 62/500 [00:21<02:08,  3.41it/s, loss=0.000715, lr=0.002]\na photo of a small <s1><s2>\nSteps:  12%|█▏        | 62/500 [00:21<02:08,  3.41it/s, loss=0.00769, lr=0.002] \nSteps:  13%|█▎        | 63/500 [00:22<02:21,  3.10it/s, loss=0.00769, lr=0.002]\na dark photo of the <s1><s2>\nSteps:  13%|█▎        | 63/500 [00:22<02:21,  3.10it/s, loss=0.00656, lr=0.002]\nSteps:  13%|█▎        | 64/500 [00:22<02:18,  3.16it/s, loss=0.00656, lr=0.002]\na photo of the weird <s1><s2>\ntensor([[0.4227],\n[0.4227]], device='cuda:0')\nCurrent Norm : tensor([0.4182, 0.4181], device='cuda:0')\nSteps:  13%|█▎        | 64/500 [00:22<02:18,  3.16it/s, loss=0.00016, lr=0.002]\nSteps:  13%|█▎        | 65/500 [00:22<02:32,  2.85it/s, loss=0.00016, lr=0.002]\na photo of a small <s1><s2>\nSteps:  13%|█▎        | 65/500 [00:22<02:32,  2.85it/s, loss=0.00543, lr=0.002]\nSteps:  13%|█▎        | 66/500 [00:23<02:18,  3.13it/s, loss=0.00543, lr=0.002]\na cropped photo of a <s1><s2>\nSteps:  13%|█▎        | 66/500 [00:23<02:18,  3.13it/s, loss=0.000229, lr=0.002]\nSteps:  13%|█▎        | 67/500 [00:23<02:09,  3.33it/s, loss=0.000229, lr=0.002]\na photo of the weird <s1><s2>\nSteps:  13%|█▎        | 67/500 [00:23<02:09,  3.33it/s, loss=0.00374, lr=0.002] \nSteps:  14%|█▎        | 68/500 [00:23<02:05,  3.44it/s, loss=0.00374, lr=0.002]\na photo of a nice <s1><s2>\ntensor([[0.4222],\n[0.4221]], device='cuda:0')\nCurrent Norm : tensor([0.4178, 0.4177], device='cuda:0')\nSteps:  14%|█▎        | 68/500 [00:23<02:05,  3.44it/s, loss=0.0512, lr=0.002] \nSteps:  14%|█▍        | 69/500 [00:23<02:01,  3.54it/s, loss=0.0512, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  14%|█▍        | 69/500 [00:23<02:01,  3.54it/s, loss=0.00241, lr=0.002]\nSteps:  14%|█▍        | 70/500 [00:24<02:18,  3.12it/s, loss=0.00241, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  14%|█▍        | 70/500 [00:24<02:18,  3.12it/s, loss=0.000527, lr=0.002]\nSteps:  14%|█▍        | 71/500 [00:24<02:11,  3.27it/s, loss=0.000527, lr=0.002]\na dark photo of the <s1><s2>\nSteps:  14%|█▍        | 71/500 [00:24<02:11,  3.27it/s, loss=0.000677, lr=0.002]\nSteps:  14%|█▍        | 72/500 [00:24<02:03,  3.45it/s, loss=0.000677, lr=0.002]\na rendition of the <s1><s2>\ntensor([[0.4219],\n[0.4217]], device='cuda:0')\nCurrent Norm : tensor([0.4175, 0.4174], device='cuda:0')\nSteps:  14%|█▍        | 72/500 [00:24<02:03,  3.45it/s, loss=0.00671, lr=0.002] \nSteps:  15%|█▍        | 73/500 [00:25<02:00,  3.56it/s, loss=0.00671, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:  15%|█▍        | 73/500 [00:25<02:00,  3.56it/s, loss=0.00828, lr=0.002]\nSteps:  15%|█▍        | 74/500 [00:25<02:15,  3.15it/s, loss=0.00828, lr=0.002]\na photo of a small <s1><s2>\nSteps:  15%|█▍        | 74/500 [00:25<02:15,  3.15it/s, loss=0.0013, lr=0.002] \nSteps:  15%|█▌        | 75/500 [00:25<02:06,  3.37it/s, loss=0.0013, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:  15%|█▌        | 75/500 [00:25<02:06,  3.37it/s, loss=0.00365, lr=0.002]\nSteps:  15%|█▌        | 76/500 [00:26<02:04,  3.40it/s, loss=0.00365, lr=0.002]\na photo of the <s1><s2>\ntensor([[0.4217],\n[0.4212]], device='cuda:0')\nCurrent Norm : tensor([0.4174, 0.4170], device='cuda:0')\nSteps:  15%|█▌        | 76/500 [00:26<02:04,  3.40it/s, loss=0.00397, lr=0.002]\nSteps:  15%|█▌        | 77/500 [00:26<02:21,  2.98it/s, loss=0.00397, lr=0.002]\na photo of the weird <s1><s2>\nSteps:  15%|█▌        | 77/500 [00:26<02:21,  2.98it/s, loss=0.000793, lr=0.002]\nSteps:  16%|█▌        | 78/500 [00:26<02:26,  2.88it/s, loss=0.000793, lr=0.002]\na good photo of a <s1><s2>\nSteps:  16%|█▌        | 78/500 [00:26<02:26,  2.88it/s, loss=0.00784, lr=0.002] \nSteps:  16%|█▌        | 79/500 [00:27<02:36,  2.69it/s, loss=0.00784, lr=0.002]\na photo of the <s1><s2>\nSteps:  16%|█▌        | 79/500 [00:27<02:36,  2.69it/s, loss=0.00536, lr=0.002]\nSteps:  16%|█▌        | 80/500 [00:27<02:22,  2.94it/s, loss=0.00536, lr=0.002]\na photo of the large <s1><s2>\ntensor([[0.4215],\n[0.4207]], device='cuda:0')\nCurrent Norm : tensor([0.4172, 0.4166], device='cuda:0')\nSteps:  16%|█▌        | 80/500 [00:27<02:22,  2.94it/s, loss=0.00415, lr=0.002]\nSteps:  16%|█▌        | 81/500 [00:27<02:11,  3.18it/s, loss=0.00415, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  16%|█▌        | 81/500 [00:27<02:11,  3.18it/s, loss=0.00186, lr=0.002]\nSteps:  16%|█▋        | 82/500 [00:28<02:07,  3.27it/s, loss=0.00186, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  16%|█▋        | 82/500 [00:28<02:07,  3.27it/s, loss=0.017, lr=0.002]  \nSteps:  17%|█▋        | 83/500 [00:28<02:01,  3.43it/s, loss=0.017, lr=0.002]\na photo of one <s1><s2>\nSteps:  17%|█▋        | 83/500 [00:28<02:01,  3.43it/s, loss=0.000429, lr=0.002]\nSteps:  17%|█▋        | 84/500 [00:28<01:58,  3.52it/s, loss=0.000429, lr=0.002]\nthe photo of a <s1><s2>\ntensor([[0.4213],\n[0.4201]], device='cuda:0')\nCurrent Norm : tensor([0.4170, 0.4161], device='cuda:0')\nSteps:  17%|█▋        | 84/500 [00:28<01:58,  3.52it/s, loss=0.00338, lr=0.002] \nSteps:  17%|█▋        | 85/500 [00:29<02:16,  3.04it/s, loss=0.00338, lr=0.002]\na bright photo of the <s1><s2>\nSteps:  17%|█▋        | 85/500 [00:29<02:16,  3.04it/s, loss=0.00212, lr=0.002]\nSteps:  17%|█▋        | 86/500 [00:29<02:06,  3.27it/s, loss=0.00212, lr=0.002]\na photo of the cool <s1><s2>\nSteps:  17%|█▋        | 86/500 [00:29<02:06,  3.27it/s, loss=0.00274, lr=0.002]\nSteps:  17%|█▋        | 87/500 [00:29<01:58,  3.48it/s, loss=0.00274, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  17%|█▋        | 87/500 [00:29<01:58,  3.48it/s, loss=0.000433, lr=0.002]\nSteps:  18%|█▊        | 88/500 [00:29<01:58,  3.48it/s, loss=0.000433, lr=0.002]\na cropped photo of a <s1><s2>\ntensor([[0.4209],\n[0.4196]], device='cuda:0')\nCurrent Norm : tensor([0.4167, 0.4157], device='cuda:0')\nSteps:  18%|█▊        | 88/500 [00:29<01:58,  3.48it/s, loss=0.000618, lr=0.002]\nSteps:  18%|█▊        | 89/500 [00:30<01:55,  3.56it/s, loss=0.000618, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:  18%|█▊        | 89/500 [00:30<01:55,  3.56it/s, loss=0.0117, lr=0.002]  \nSteps:  18%|█▊        | 90/500 [00:30<01:53,  3.63it/s, loss=0.0117, lr=0.002]\na photo of a clean <s1><s2>\nSteps:  18%|█▊        | 90/500 [00:30<01:53,  3.63it/s, loss=0.000428, lr=0.002]\nSteps:  18%|█▊        | 91/500 [00:30<02:05,  3.25it/s, loss=0.000428, lr=0.002]\na rendering of a <s1><s2>\nSteps:  18%|█▊        | 91/500 [00:30<02:05,  3.25it/s, loss=0.000106, lr=0.002]\nSteps:  18%|█▊        | 92/500 [00:31<02:04,  3.27it/s, loss=0.000106, lr=0.002]\na photo of a nice <s1><s2>\ntensor([[0.4206],\n[0.4193]], device='cuda:0')\nCurrent Norm : tensor([0.4165, 0.4155], device='cuda:0')\nSteps:  18%|█▊        | 92/500 [00:31<02:04,  3.27it/s, loss=0.0017, lr=0.002]  \nSteps:  19%|█▊        | 93/500 [00:31<02:00,  3.39it/s, loss=0.0017, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  19%|█▊        | 93/500 [00:31<02:00,  3.39it/s, loss=0.0286, lr=0.002]\nSteps:  19%|█▉        | 94/500 [00:31<02:13,  3.05it/s, loss=0.0286, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  19%|█▉        | 94/500 [00:31<02:13,  3.05it/s, loss=0.0107, lr=0.002]\nSteps:  19%|█▉        | 95/500 [00:32<02:26,  2.77it/s, loss=0.0107, lr=0.002]\na photo of one <s1><s2>\nSteps:  19%|█▉        | 95/500 [00:32<02:26,  2.77it/s, loss=0.00884, lr=0.002]\nSteps:  19%|█▉        | 96/500 [00:32<02:13,  3.02it/s, loss=0.00884, lr=0.002]\na bright photo of the <s1><s2>\ntensor([[0.4204],\n[0.4192]], device='cuda:0')\nCurrent Norm : tensor([0.4163, 0.4153], device='cuda:0')\nSteps:  19%|█▉        | 96/500 [00:32<02:13,  3.02it/s, loss=0.0113, lr=0.002] \nSteps:  19%|█▉        | 97/500 [00:32<02:04,  3.23it/s, loss=0.0113, lr=0.002]\na photo of the large <s1><s2>\nSteps:  19%|█▉        | 97/500 [00:32<02:04,  3.23it/s, loss=0.000302, lr=0.002]\nSteps:  20%|█▉        | 98/500 [00:32<01:58,  3.38it/s, loss=0.000302, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  20%|█▉        | 98/500 [00:32<01:58,  3.38it/s, loss=0.0378, lr=0.002]  \nSteps:  20%|█▉        | 99/500 [00:33<01:52,  3.56it/s, loss=0.0378, lr=0.002]\na cropped photo of a <s1><s2>\nSteps:  20%|█▉        | 99/500 [00:33<01:52,  3.56it/s, loss=0.0469, lr=0.002]\nSteps:  20%|██        | 100/500 [00:33<01:51,  3.58it/s, loss=0.0469, lr=0.002]\na cropped photo of a <s1><s2>\ntensor([[0.4202],\n[0.4190]], device='cuda:0')\nCurrent Norm : tensor([0.4161, 0.4152], device='cuda:0')\nSteps:  20%|██        | 100/500 [00:33<01:51,  3.58it/s, loss=0.0724, lr=0.002]\nSteps:  20%|██        | 101/500 [00:33<01:51,  3.57it/s, loss=0.0724, lr=0.002]\na photo of a <s1><s2>\nSteps:  20%|██        | 101/500 [00:33<01:51,  3.57it/s, loss=0.00152, lr=0.002]\nSteps:  20%|██        | 102/500 [00:34<01:49,  3.63it/s, loss=0.00152, lr=0.002]\na photo of the small <s1><s2>\nSteps:  20%|██        | 102/500 [00:34<01:49,  3.63it/s, loss=0.00435, lr=0.002]\nSteps:  21%|██        | 103/500 [00:34<01:46,  3.73it/s, loss=0.00435, lr=0.002]\na good photo of the <s1><s2>\nSteps:  21%|██        | 103/500 [00:34<01:46,  3.73it/s, loss=0.000261, lr=0.002]\nSteps:  21%|██        | 104/500 [00:34<02:00,  3.28it/s, loss=0.000261, lr=0.002]\na photo of the small <s1><s2>\ntensor([[0.4200],\n[0.4187]], device='cuda:0')\nCurrent Norm : tensor([0.4160, 0.4150], device='cuda:0')\nSteps:  21%|██        | 104/500 [00:34<02:00,  3.28it/s, loss=0.00487, lr=0.002] \nSteps:  21%|██        | 105/500 [00:35<02:15,  2.93it/s, loss=0.00487, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  21%|██        | 105/500 [00:35<02:15,  2.93it/s, loss=0.00294, lr=0.002]\nSteps:  21%|██        | 106/500 [00:35<02:05,  3.14it/s, loss=0.00294, lr=0.002]\na photo of a cool <s1><s2>\nSteps:  21%|██        | 106/500 [00:35<02:05,  3.14it/s, loss=0.00347, lr=0.002]\nSteps:  21%|██▏       | 107/500 [00:35<02:16,  2.88it/s, loss=0.00347, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  21%|██▏       | 107/500 [00:35<02:16,  2.88it/s, loss=0.00733, lr=0.002]\nSteps:  22%|██▏       | 108/500 [00:36<02:06,  3.10it/s, loss=0.00733, lr=0.002]\na photo of the weird <s1><s2>\ntensor([[0.4195],\n[0.4184]], device='cuda:0')\nCurrent Norm : tensor([0.4156, 0.4147], device='cuda:0')\nSteps:  22%|██▏       | 108/500 [00:36<02:06,  3.10it/s, loss=0.000872, lr=0.002]\nSteps:  22%|██▏       | 109/500 [00:36<02:02,  3.20it/s, loss=0.000872, lr=0.002]\na photo of the large <s1><s2>\nSteps:  22%|██▏       | 109/500 [00:36<02:02,  3.20it/s, loss=0.0213, lr=0.002]  \nSteps:  22%|██▏       | 110/500 [00:36<02:12,  2.95it/s, loss=0.0213, lr=0.002]\na cropped photo of a <s1><s2>\nSteps:  22%|██▏       | 110/500 [00:36<02:12,  2.95it/s, loss=0.0106, lr=0.002]\nSteps:  22%|██▏       | 111/500 [00:37<02:06,  3.08it/s, loss=0.0106, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  22%|██▏       | 111/500 [00:37<02:06,  3.08it/s, loss=0.00931, lr=0.002]\nSteps:  22%|██▏       | 112/500 [00:37<02:01,  3.20it/s, loss=0.00931, lr=0.002]\na photo of the nice <s1><s2>\ntensor([[0.4193],\n[0.4181]], device='cuda:0')\nCurrent Norm : tensor([0.4154, 0.4145], device='cuda:0')\nSteps:  22%|██▏       | 112/500 [00:37<02:01,  3.20it/s, loss=0.000504, lr=0.002]\nSteps:  23%|██▎       | 113/500 [00:37<01:56,  3.34it/s, loss=0.000504, lr=0.002]\na dark photo of the <s1><s2>\nSteps:  23%|██▎       | 113/500 [00:37<01:56,  3.34it/s, loss=0.0702, lr=0.002]  \nSteps:  23%|██▎       | 114/500 [00:37<01:54,  3.38it/s, loss=0.0702, lr=0.002]\na photo of a clean <s1><s2>\nSteps:  23%|██▎       | 114/500 [00:37<01:54,  3.38it/s, loss=0.0148, lr=0.002]\nSteps:  23%|██▎       | 115/500 [00:38<01:51,  3.46it/s, loss=0.0148, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  23%|██▎       | 115/500 [00:38<01:51,  3.46it/s, loss=0.0113, lr=0.002]\nSteps:  23%|██▎       | 116/500 [00:38<02:09,  2.96it/s, loss=0.0113, lr=0.002]\na rendition of a <s1><s2>\ntensor([[0.4190],\n[0.4178]], device='cuda:0')\nCurrent Norm : tensor([0.4152, 0.4142], device='cuda:0')\nSteps:  23%|██▎       | 116/500 [00:38<02:09,  2.96it/s, loss=0.00264, lr=0.002]\nSteps:  23%|██▎       | 117/500 [00:38<01:59,  3.19it/s, loss=0.00264, lr=0.002]\na photo of the weird <s1><s2>\nSteps:  23%|██▎       | 117/500 [00:38<01:59,  3.19it/s, loss=0.000295, lr=0.002]\nSteps:  24%|██▎       | 118/500 [00:39<02:10,  2.94it/s, loss=0.000295, lr=0.002]\na photo of a small <s1><s2>\nSteps:  24%|██▎       | 118/500 [00:39<02:10,  2.94it/s, loss=0.000116, lr=0.002]\nSteps:  24%|██▍       | 119/500 [00:39<01:59,  3.20it/s, loss=0.000116, lr=0.002]\na photo of the large <s1><s2>\nSteps:  24%|██▍       | 119/500 [00:39<01:59,  3.20it/s, loss=0.0289, lr=0.002]  \nSteps:  24%|██▍       | 120/500 [00:39<01:51,  3.40it/s, loss=0.0289, lr=0.002]\na photo of the clean <s1><s2>\ntensor([[0.4187],\n[0.4175]], device='cuda:0')\nCurrent Norm : tensor([0.4150, 0.4140], device='cuda:0')\nSteps:  24%|██▍       | 120/500 [00:39<01:51,  3.40it/s, loss=0.142, lr=0.002] \nSteps:  24%|██▍       | 121/500 [00:40<01:49,  3.46it/s, loss=0.142, lr=0.002]\na rendition of the <s1><s2>\nSteps:  24%|██▍       | 121/500 [00:40<01:49,  3.46it/s, loss=0.0397, lr=0.002]\nSteps:  24%|██▍       | 122/500 [00:40<01:44,  3.62it/s, loss=0.0397, lr=0.002]\na good photo of the <s1><s2>\nSteps:  24%|██▍       | 122/500 [00:40<01:44,  3.62it/s, loss=0.0406, lr=0.002]\nSteps:  25%|██▍       | 123/500 [00:40<01:46,  3.53it/s, loss=0.0406, lr=0.002]\na cropped photo of a <s1><s2>\nSteps:  25%|██▍       | 123/500 [00:40<01:46,  3.53it/s, loss=0.00687, lr=0.002]\nSteps:  25%|██▍       | 124/500 [00:41<02:03,  3.05it/s, loss=0.00687, lr=0.002]\na dark photo of the <s1><s2>\ntensor([[0.4180],\n[0.4170]], device='cuda:0')\nCurrent Norm : tensor([0.4144, 0.4136], device='cuda:0')\nSteps:  25%|██▍       | 124/500 [00:41<02:03,  3.05it/s, loss=0.00264, lr=0.002]\nSteps:  25%|██▌       | 125/500 [00:41<02:10,  2.87it/s, loss=0.00264, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  25%|██▌       | 125/500 [00:41<02:10,  2.87it/s, loss=0.00165, lr=0.002]\nSteps:  25%|██▌       | 126/500 [00:41<02:00,  3.11it/s, loss=0.00165, lr=0.002]\na rendition of a <s1><s2>\nSteps:  25%|██▌       | 126/500 [00:41<02:00,  3.11it/s, loss=0.000393, lr=0.002]\nSteps:  25%|██▌       | 127/500 [00:42<02:11,  2.83it/s, loss=0.000393, lr=0.002]\na photo of the small <s1><s2>\nSteps:  25%|██▌       | 127/500 [00:42<02:11,  2.83it/s, loss=0.00493, lr=0.002] \nSteps:  26%|██▌       | 128/500 [00:42<02:04,  3.00it/s, loss=0.00493, lr=0.002]\na photo of the nice <s1><s2>\ntensor([[0.4176],\n[0.4167]], device='cuda:0')\nCurrent Norm : tensor([0.4141, 0.4133], device='cuda:0')\nSteps:  26%|██▌       | 128/500 [00:42<02:04,  3.00it/s, loss=0.00182, lr=0.002]\nSteps:  26%|██▌       | 129/500 [00:42<01:55,  3.21it/s, loss=0.00182, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:  26%|██▌       | 129/500 [00:42<01:55,  3.21it/s, loss=0.00474, lr=0.002]\nSteps:  26%|██▌       | 130/500 [00:42<01:48,  3.42it/s, loss=0.00474, lr=0.002]\na photo of the weird <s1><s2>\nSteps:  26%|██▌       | 130/500 [00:42<01:48,  3.42it/s, loss=0.00189, lr=0.002]\nSteps:  26%|██▌       | 131/500 [00:43<02:03,  2.98it/s, loss=0.00189, lr=0.002]\na cropped photo of a <s1><s2>\nSteps:  26%|██▌       | 131/500 [00:43<02:03,  2.98it/s, loss=0.0111, lr=0.002] \nSteps:  26%|██▋       | 132/500 [00:43<01:55,  3.19it/s, loss=0.0111, lr=0.002]\na photo of the large <s1><s2>\ntensor([[0.4175],\n[0.4164]], device='cuda:0')\nCurrent Norm : tensor([0.4140, 0.4131], device='cuda:0')\nSteps:  26%|██▋       | 132/500 [00:43<01:55,  3.19it/s, loss=0.0121, lr=0.002]\nSteps:  27%|██▋       | 133/500 [00:43<01:50,  3.33it/s, loss=0.0121, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  27%|██▋       | 133/500 [00:43<01:50,  3.33it/s, loss=0.00485, lr=0.002]\nSteps:  27%|██▋       | 134/500 [00:44<02:04,  2.94it/s, loss=0.00485, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  27%|██▋       | 134/500 [00:44<02:04,  2.94it/s, loss=0.00112, lr=0.002]\nSteps:  27%|██▋       | 135/500 [00:44<02:00,  3.03it/s, loss=0.00112, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:  27%|██▋       | 135/500 [00:44<02:00,  3.03it/s, loss=0.00341, lr=0.002]\nSteps:  27%|██▋       | 136/500 [00:45<02:10,  2.79it/s, loss=0.00341, lr=0.002]\na close-up photo of the <s1><s2>\ntensor([[0.4176],\n[0.4162]], device='cuda:0')\nCurrent Norm : tensor([0.4141, 0.4129], device='cuda:0')\nSteps:  27%|██▋       | 136/500 [00:45<02:10,  2.79it/s, loss=0.0062, lr=0.002] \nSteps:  27%|██▋       | 137/500 [00:45<02:00,  3.01it/s, loss=0.0062, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  27%|██▋       | 137/500 [00:45<02:00,  3.01it/s, loss=0.00215, lr=0.002]\nSteps:  28%|██▊       | 138/500 [00:45<01:51,  3.24it/s, loss=0.00215, lr=0.002]\na photo of a <s1><s2>\nSteps:  28%|██▊       | 138/500 [00:45<01:51,  3.24it/s, loss=0.00843, lr=0.002]\nSteps:  28%|██▊       | 139/500 [00:45<01:45,  3.43it/s, loss=0.00843, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  28%|██▊       | 139/500 [00:45<01:45,  3.43it/s, loss=0.00101, lr=0.002]\nSteps:  28%|██▊       | 140/500 [00:46<01:42,  3.51it/s, loss=0.00101, lr=0.002]\na photo of a nice <s1><s2>\ntensor([[0.4176],\n[0.4160]], device='cuda:0')\nCurrent Norm : tensor([0.4141, 0.4128], device='cuda:0')\nSteps:  28%|██▊       | 140/500 [00:46<01:42,  3.51it/s, loss=0.0133, lr=0.002] \nSteps:  28%|██▊       | 141/500 [00:46<01:56,  3.07it/s, loss=0.0133, lr=0.002]\na photo of a small <s1><s2>\nSteps:  28%|██▊       | 141/500 [00:46<01:56,  3.07it/s, loss=0.00602, lr=0.002]\nSteps:  28%|██▊       | 142/500 [00:46<01:48,  3.30it/s, loss=0.00602, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  28%|██▊       | 142/500 [00:46<01:48,  3.30it/s, loss=0.0278, lr=0.002] \nSteps:  29%|██▊       | 143/500 [00:47<01:59,  2.99it/s, loss=0.0278, lr=0.002]\na photo of a small <s1><s2>\nSteps:  29%|██▊       | 143/500 [00:47<01:59,  2.99it/s, loss=0.000815, lr=0.002]\nSteps:  29%|██▉       | 144/500 [00:47<01:50,  3.22it/s, loss=0.000815, lr=0.002]\na photo of the large <s1><s2>\ntensor([[0.4176],\n[0.4157]], device='cuda:0')\nCurrent Norm : tensor([0.4141, 0.4126], device='cuda:0')\nSteps:  29%|██▉       | 144/500 [00:47<01:50,  3.22it/s, loss=0.0248, lr=0.002]  \nSteps:  29%|██▉       | 145/500 [00:47<01:47,  3.31it/s, loss=0.0248, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  29%|██▉       | 145/500 [00:47<01:47,  3.31it/s, loss=0.00912, lr=0.002]\nSteps:  29%|██▉       | 146/500 [00:47<01:41,  3.50it/s, loss=0.00912, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  29%|██▉       | 146/500 [00:47<01:41,  3.50it/s, loss=0.0298, lr=0.002] \nSteps:  29%|██▉       | 147/500 [00:48<01:36,  3.65it/s, loss=0.0298, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  29%|██▉       | 147/500 [00:48<01:36,  3.65it/s, loss=0.0542, lr=0.002]\nSteps:  30%|██▉       | 148/500 [00:48<01:48,  3.26it/s, loss=0.0542, lr=0.002]\na photo of the clean <s1><s2>\ntensor([[0.4174],\n[0.4154]], device='cuda:0')\nCurrent Norm : tensor([0.4139, 0.4123], device='cuda:0')\nSteps:  30%|██▉       | 148/500 [00:48<01:48,  3.26it/s, loss=0.000515, lr=0.002]\nSteps:  30%|██▉       | 149/500 [00:48<01:42,  3.42it/s, loss=0.000515, lr=0.002]\na photo of the <s1><s2>\nSteps:  30%|██▉       | 149/500 [00:48<01:42,  3.42it/s, loss=0.00376, lr=0.002] \nSteps:  30%|███       | 150/500 [00:49<01:40,  3.50it/s, loss=0.00376, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  30%|███       | 150/500 [00:49<01:40,  3.50it/s, loss=0.0059, lr=0.002] \nSteps:  30%|███       | 151/500 [00:49<01:36,  3.63it/s, loss=0.0059, lr=0.002]\na photo of the weird <s1><s2>\nSteps:  30%|███       | 151/500 [00:49<01:36,  3.63it/s, loss=0.0217, lr=0.002]\nSteps:  30%|███       | 152/500 [00:49<01:38,  3.55it/s, loss=0.0217, lr=0.002]\na photo of the <s1><s2>\ntensor([[0.4168],\n[0.4151]], device='cuda:0')\nCurrent Norm : tensor([0.4135, 0.4121], device='cuda:0')\nSteps:  30%|███       | 152/500 [00:49<01:38,  3.55it/s, loss=0.00187, lr=0.002]\nSteps:  31%|███       | 153/500 [00:50<01:54,  3.03it/s, loss=0.00187, lr=0.002]\na photo of the weird <s1><s2>\nSteps:  31%|███       | 153/500 [00:50<01:54,  3.03it/s, loss=0.000129, lr=0.002]\nSteps:  31%|███       | 154/500 [00:50<01:47,  3.23it/s, loss=0.000129, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  31%|███       | 154/500 [00:50<01:47,  3.23it/s, loss=0.0274, lr=0.002]  \nSteps:  31%|███       | 155/500 [00:50<01:42,  3.37it/s, loss=0.0274, lr=0.002]\na photo of the small <s1><s2>\nSteps:  31%|███       | 155/500 [00:50<01:42,  3.37it/s, loss=0.0249, lr=0.002]\nSteps:  31%|███       | 156/500 [00:50<01:36,  3.55it/s, loss=0.0249, lr=0.002]\na cropped photo of a <s1><s2>\ntensor([[0.4166],\n[0.4150]], device='cuda:0')\nCurrent Norm : tensor([0.4133, 0.4120], device='cuda:0')\nSteps:  31%|███       | 156/500 [00:50<01:36,  3.55it/s, loss=0.0214, lr=0.002]\nSteps:  31%|███▏      | 157/500 [00:51<01:34,  3.63it/s, loss=0.0214, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  31%|███▏      | 157/500 [00:51<01:34,  3.63it/s, loss=0.000945, lr=0.002]\nSteps:  32%|███▏      | 158/500 [00:51<01:31,  3.72it/s, loss=0.000945, lr=0.002]\na photo of one <s1><s2>\nSteps:  32%|███▏      | 158/500 [00:51<01:31,  3.72it/s, loss=0.00133, lr=0.002] \nSteps:  32%|███▏      | 159/500 [00:51<01:33,  3.64it/s, loss=0.00133, lr=0.002]\na rendition of a <s1><s2>\nSteps:  32%|███▏      | 159/500 [00:51<01:33,  3.64it/s, loss=0.00302, lr=0.002]\nSteps:  32%|███▏      | 160/500 [00:52<01:48,  3.12it/s, loss=0.00302, lr=0.002]\na rendition of the <s1><s2>\ntensor([[0.4164],\n[0.4152]], device='cuda:0')\nCurrent Norm : tensor([0.4131, 0.4122], device='cuda:0')\nSteps:  32%|███▏      | 160/500 [00:52<01:48,  3.12it/s, loss=0.00605, lr=0.002]\nSteps:  32%|███▏      | 161/500 [00:52<01:57,  2.87it/s, loss=0.00605, lr=0.002]\na photo of a clean <s1><s2>\nSteps:  32%|███▏      | 161/500 [00:52<01:57,  2.87it/s, loss=0.00175, lr=0.002]\nSteps:  32%|███▏      | 162/500 [00:52<01:52,  3.00it/s, loss=0.00175, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  32%|███▏      | 162/500 [00:52<01:52,  3.00it/s, loss=0.000449, lr=0.002]\nSteps:  33%|███▎      | 163/500 [00:53<01:45,  3.20it/s, loss=0.000449, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  33%|███▎      | 163/500 [00:53<01:45,  3.20it/s, loss=0.00273, lr=0.002] \nSteps:  33%|███▎      | 164/500 [00:53<01:38,  3.43it/s, loss=0.00273, lr=0.002]\na photo of a cool <s1><s2>\ntensor([[0.4162],\n[0.4154]], device='cuda:0')\nCurrent Norm : tensor([0.4130, 0.4123], device='cuda:0')\nSteps:  33%|███▎      | 164/500 [00:53<01:38,  3.43it/s, loss=0.104, lr=0.002]  \nSteps:  33%|███▎      | 165/500 [00:53<01:34,  3.54it/s, loss=0.104, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  33%|███▎      | 165/500 [00:53<01:34,  3.54it/s, loss=0.0254, lr=0.002]\nSteps:  33%|███▎      | 166/500 [00:53<01:32,  3.61it/s, loss=0.0254, lr=0.002]\na photo of the <s1><s2>\nSteps:  33%|███▎      | 166/500 [00:53<01:32,  3.61it/s, loss=0.00313, lr=0.002]\nSteps:  33%|███▎      | 167/500 [00:54<01:44,  3.19it/s, loss=0.00313, lr=0.002]\na bright photo of the <s1><s2>\nSteps:  33%|███▎      | 167/500 [00:54<01:44,  3.19it/s, loss=0.00685, lr=0.002]\nSteps:  34%|███▎      | 168/500 [00:54<01:50,  2.99it/s, loss=0.00685, lr=0.002]\na close-up photo of a <s1><s2>\ntensor([[0.4160],\n[0.4156]], device='cuda:0')\nCurrent Norm : tensor([0.4128, 0.4125], device='cuda:0')\nSteps:  34%|███▎      | 168/500 [00:54<01:50,  2.99it/s, loss=5.82e-5, lr=0.002]\nSteps:  34%|███▍      | 169/500 [00:54<01:45,  3.14it/s, loss=5.82e-5, lr=0.002]\na photo of a cool <s1><s2>\nSteps:  34%|███▍      | 169/500 [00:54<01:45,  3.14it/s, loss=0.00185, lr=0.002]\nSteps:  34%|███▍      | 170/500 [00:55<01:54,  2.89it/s, loss=0.00185, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  34%|███▍      | 170/500 [00:55<01:54,  2.89it/s, loss=0.00742, lr=0.002]\nSteps:  34%|███▍      | 171/500 [00:55<01:57,  2.81it/s, loss=0.00742, lr=0.002]\na rendering of a <s1><s2>\nSteps:  34%|███▍      | 171/500 [00:55<01:57,  2.81it/s, loss=0.0131, lr=0.002] \nSteps:  34%|███▍      | 172/500 [00:55<01:48,  3.03it/s, loss=0.0131, lr=0.002]\na photo of a nice <s1><s2>\ntensor([[0.4158],\n[0.4157]], device='cuda:0')\nCurrent Norm : tensor([0.4126, 0.4126], device='cuda:0')\nSteps:  34%|███▍      | 172/500 [00:55<01:48,  3.03it/s, loss=0.0152, lr=0.002]\nSteps:  35%|███▍      | 173/500 [00:56<01:46,  3.07it/s, loss=0.0152, lr=0.002]\na rendition of the <s1><s2>\nSteps:  35%|███▍      | 173/500 [00:56<01:46,  3.07it/s, loss=0.0129, lr=0.002]\nSteps:  35%|███▍      | 174/500 [00:56<01:38,  3.30it/s, loss=0.0129, lr=0.002]\na photo of the <s1><s2>\nSteps:  35%|███▍      | 174/500 [00:56<01:38,  3.30it/s, loss=0.0154, lr=0.002]\nSteps:  35%|███▌      | 175/500 [00:56<01:34,  3.43it/s, loss=0.0154, lr=0.002]\na good photo of a <s1><s2>\nSteps:  35%|███▌      | 175/500 [00:56<01:34,  3.43it/s, loss=0.0347, lr=0.002]\nSteps:  35%|███▌      | 176/500 [00:57<01:48,  2.99it/s, loss=0.0347, lr=0.002]\na cropped photo of the <s1><s2>\ntensor([[0.4155],\n[0.4158]], device='cuda:0')\nCurrent Norm : tensor([0.4124, 0.4127], device='cuda:0')\nSteps:  35%|███▌      | 176/500 [00:57<01:48,  2.99it/s, loss=0.00439, lr=0.002]\nSteps:  35%|███▌      | 177/500 [00:57<01:48,  2.97it/s, loss=0.00439, lr=0.002]\na photo of the large <s1><s2>\nSteps:  35%|███▌      | 177/500 [00:57<01:48,  2.97it/s, loss=0.00845, lr=0.002]\nSteps:  36%|███▌      | 178/500 [00:57<01:42,  3.15it/s, loss=0.00845, lr=0.002]\na photo of the small <s1><s2>\nSteps:  36%|███▌      | 178/500 [00:57<01:42,  3.15it/s, loss=0.00099, lr=0.002]\nSteps:  36%|███▌      | 179/500 [00:58<01:36,  3.33it/s, loss=0.00099, lr=0.002]\na photo of the <s1><s2>\nSteps:  36%|███▌      | 179/500 [00:58<01:36,  3.33it/s, loss=0.00269, lr=0.002]\nSteps:  36%|███▌      | 180/500 [00:58<01:45,  3.04it/s, loss=0.00269, lr=0.002]\na photo of a nice <s1><s2>\ntensor([[0.4152],\n[0.4160]], device='cuda:0')\nCurrent Norm : tensor([0.4121, 0.4128], device='cuda:0')\nSteps:  36%|███▌      | 180/500 [00:58<01:45,  3.04it/s, loss=0.0104, lr=0.002] \nSteps:  36%|███▌      | 181/500 [00:58<01:38,  3.25it/s, loss=0.0104, lr=0.002]\na good photo of a <s1><s2>\nSteps:  36%|███▌      | 181/500 [00:58<01:38,  3.25it/s, loss=0.0474, lr=0.002]\nSteps:  36%|███▋      | 182/500 [00:59<01:34,  3.37it/s, loss=0.0474, lr=0.002]\na photo of the small <s1><s2>\nSteps:  36%|███▋      | 182/500 [00:59<01:34,  3.37it/s, loss=0.022, lr=0.002] \nSteps:  37%|███▋      | 183/500 [00:59<01:30,  3.52it/s, loss=0.022, lr=0.002]\na photo of a <s1><s2>\nSteps:  37%|███▋      | 183/500 [00:59<01:30,  3.52it/s, loss=0.00619, lr=0.002]\nSteps:  37%|███▋      | 184/500 [00:59<01:26,  3.65it/s, loss=0.00619, lr=0.002]\na photo of a nice <s1><s2>\ntensor([[0.4149],\n[0.4163]], device='cuda:0')\nCurrent Norm : tensor([0.4119, 0.4130], device='cuda:0')\nSteps:  37%|███▋      | 184/500 [00:59<01:26,  3.65it/s, loss=0.0129, lr=0.002] \nSteps:  37%|███▋      | 185/500 [00:59<01:27,  3.61it/s, loss=0.0129, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  37%|███▋      | 185/500 [00:59<01:27,  3.61it/s, loss=0.0196, lr=0.002]\nSteps:  37%|███▋      | 186/500 [01:00<01:24,  3.71it/s, loss=0.0196, lr=0.002]\na bright photo of the <s1><s2>\nSteps:  37%|███▋      | 186/500 [01:00<01:24,  3.71it/s, loss=0.0557, lr=0.002]\nSteps:  37%|███▋      | 187/500 [01:00<01:38,  3.17it/s, loss=0.0557, lr=0.002]\na rendition of the <s1><s2>\nSteps:  37%|███▋      | 187/500 [01:00<01:38,  3.17it/s, loss=0.00724, lr=0.002]\nSteps:  38%|███▊      | 188/500 [01:00<01:32,  3.37it/s, loss=0.00724, lr=0.002]\na photo of the <s1><s2>\ntensor([[0.4145],\n[0.4167]], device='cuda:0')\nCurrent Norm : tensor([0.4116, 0.4134], device='cuda:0')\nSteps:  38%|███▊      | 188/500 [01:00<01:32,  3.37it/s, loss=0.0549, lr=0.002] \nSteps:  38%|███▊      | 189/500 [01:01<01:40,  3.09it/s, loss=0.0549, lr=0.002]\na photo of the cool <s1><s2>\nSteps:  38%|███▊      | 189/500 [01:01<01:40,  3.09it/s, loss=0.00217, lr=0.002]\nSteps:  38%|███▊      | 190/500 [01:01<01:33,  3.32it/s, loss=0.00217, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  38%|███▊      | 190/500 [01:01<01:33,  3.32it/s, loss=0.0175, lr=0.002] \nSteps:  38%|███▊      | 191/500 [01:01<01:39,  3.09it/s, loss=0.0175, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  38%|███▊      | 191/500 [01:01<01:39,  3.09it/s, loss=0.000155, lr=0.002]\nSteps:  38%|███▊      | 192/500 [01:02<01:33,  3.29it/s, loss=0.000155, lr=0.002]\na photo of a <s1><s2>\ntensor([[0.4142],\n[0.4171]], device='cuda:0')\nCurrent Norm : tensor([0.4114, 0.4137], device='cuda:0')\nSteps:  38%|███▊      | 192/500 [01:02<01:33,  3.29it/s, loss=0.0728, lr=0.002]  \nSteps:  39%|███▊      | 193/500 [01:02<01:31,  3.36it/s, loss=0.0728, lr=0.002]\na rendition of the <s1><s2>\nSteps:  39%|███▊      | 193/500 [01:02<01:31,  3.36it/s, loss=0.00176, lr=0.002]\nSteps:  39%|███▉      | 194/500 [01:02<01:27,  3.51it/s, loss=0.00176, lr=0.002]\na photo of a <s1><s2>\nSteps:  39%|███▉      | 194/500 [01:02<01:27,  3.51it/s, loss=0.00214, lr=0.002]\nSteps:  39%|███▉      | 195/500 [01:02<01:36,  3.16it/s, loss=0.00214, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  39%|███▉      | 195/500 [01:02<01:36,  3.16it/s, loss=0.00334, lr=0.002]\nSteps:  39%|███▉      | 196/500 [01:03<01:30,  3.38it/s, loss=0.00334, lr=0.002]\na photo of a dirty <s1><s2>\ntensor([[0.4139],\n[0.4179]], device='cuda:0')\nCurrent Norm : tensor([0.4111, 0.4143], device='cuda:0')\nSteps:  39%|███▉      | 196/500 [01:03<01:30,  3.38it/s, loss=0.0016, lr=0.002] \nSteps:  39%|███▉      | 197/500 [01:03<01:28,  3.41it/s, loss=0.0016, lr=0.002]\na cropped photo of a <s1><s2>\nSteps:  39%|███▉      | 197/500 [01:03<01:28,  3.41it/s, loss=0.00117, lr=0.002]\nSteps:  40%|███▉      | 198/500 [01:03<01:23,  3.61it/s, loss=0.00117, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  40%|███▉      | 198/500 [01:03<01:23,  3.61it/s, loss=0.0306, lr=0.002] \nSteps:  40%|███▉      | 199/500 [01:03<01:21,  3.70it/s, loss=0.0306, lr=0.002]\na good photo of a <s1><s2>\nSteps:  40%|███▉      | 199/500 [01:03<01:21,  3.70it/s, loss=0.000478, lr=0.002]\nSteps:  40%|████      | 200/500 [01:04<01:30,  3.31it/s, loss=0.000478, lr=0.002]\na photo of the small <s1><s2>\ntensor([[0.4136],\n[0.4186]], device='cuda:0')\nCurrent Norm : tensor([0.4109, 0.4149], device='cuda:0')\nSteps:  40%|████      | 200/500 [01:04<01:30,  3.31it/s, loss=0.00925, lr=0.002] \nSteps:  40%|████      | 201/500 [01:04<01:25,  3.48it/s, loss=0.00925, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  40%|████      | 201/500 [01:04<01:25,  3.48it/s, loss=0.0664, lr=0.002] \nSteps:  40%|████      | 202/500 [01:04<01:21,  3.65it/s, loss=0.0664, lr=0.002]\na rendition of a <s1><s2>\nSteps:  40%|████      | 202/500 [01:04<01:21,  3.65it/s, loss=0.0105, lr=0.002]\nSteps:  41%|████      | 203/500 [01:05<01:32,  3.23it/s, loss=0.0105, lr=0.002]\na photo of my <s1><s2>\nSteps:  41%|████      | 203/500 [01:05<01:32,  3.23it/s, loss=0.000469, lr=0.002]\nSteps:  41%|████      | 204/500 [01:05<01:29,  3.30it/s, loss=0.000469, lr=0.002]\na photo of my <s1><s2>\ntensor([[0.4133],\n[0.4195]], device='cuda:0')\nCurrent Norm : tensor([0.4106, 0.4156], device='cuda:0')\nSteps:  41%|████      | 204/500 [01:05<01:29,  3.30it/s, loss=0.000467, lr=0.002]\nSteps:  41%|████      | 205/500 [01:05<01:25,  3.44it/s, loss=0.000467, lr=0.002]\na photo of a small <s1><s2>\nSteps:  41%|████      | 205/500 [01:05<01:25,  3.44it/s, loss=0.024, lr=0.002]   \nSteps:  41%|████      | 206/500 [01:06<01:34,  3.11it/s, loss=0.024, lr=0.002]\na photo of a small <s1><s2>\nSteps:  41%|████      | 206/500 [01:06<01:34,  3.11it/s, loss=0.0018, lr=0.002]\nSteps:  41%|████▏     | 207/500 [01:06<01:27,  3.37it/s, loss=0.0018, lr=0.002]\na rendition of a <s1><s2>\nSteps:  41%|████▏     | 207/500 [01:06<01:27,  3.37it/s, loss=0.000363, lr=0.002]\nSteps:  42%|████▏     | 208/500 [01:06<01:22,  3.54it/s, loss=0.000363, lr=0.002]\na photo of a small <s1><s2>\ntensor([[0.4130],\n[0.4201]], device='cuda:0')\nCurrent Norm : tensor([0.4104, 0.4161], device='cuda:0')\nSteps:  42%|████▏     | 208/500 [01:06<01:22,  3.54it/s, loss=0.0199, lr=0.002]  \nSteps:  42%|████▏     | 209/500 [01:06<01:19,  3.65it/s, loss=0.0199, lr=0.002]\na bright photo of the <s1><s2>\nSteps:  42%|████▏     | 209/500 [01:06<01:19,  3.65it/s, loss=0.00127, lr=0.002]\nSteps:  42%|████▏     | 210/500 [01:07<01:28,  3.29it/s, loss=0.00127, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  42%|████▏     | 210/500 [01:07<01:28,  3.29it/s, loss=0.00241, lr=0.002]\nSteps:  42%|████▏     | 211/500 [01:07<01:23,  3.46it/s, loss=0.00241, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  42%|████▏     | 211/500 [01:07<01:23,  3.46it/s, loss=0.00201, lr=0.002]\nSteps:  42%|████▏     | 212/500 [01:07<01:31,  3.13it/s, loss=0.00201, lr=0.002]\na photo of the <s1><s2>\ntensor([[0.4128],\n[0.4207]], device='cuda:0')\nCurrent Norm : tensor([0.4103, 0.4166], device='cuda:0')\nSteps:  42%|████▏     | 212/500 [01:07<01:31,  3.13it/s, loss=0.00227, lr=0.002]\nSteps:  43%|████▎     | 213/500 [01:08<01:25,  3.35it/s, loss=0.00227, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  43%|████▎     | 213/500 [01:08<01:25,  3.35it/s, loss=0.0487, lr=0.002] \nSteps:  43%|████▎     | 214/500 [01:08<01:31,  3.12it/s, loss=0.0487, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  43%|████▎     | 214/500 [01:08<01:31,  3.12it/s, loss=0.000143, lr=0.002]\nSteps:  43%|████▎     | 215/500 [01:08<01:25,  3.35it/s, loss=0.000143, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  43%|████▎     | 215/500 [01:08<01:25,  3.35it/s, loss=0.000309, lr=0.002]\nSteps:  43%|████▎     | 216/500 [01:09<01:20,  3.53it/s, loss=0.000309, lr=0.002]\na rendition of a <s1><s2>\ntensor([[0.4126],\n[0.4212]], device='cuda:0')\nCurrent Norm : tensor([0.4101, 0.4170], device='cuda:0')\nSteps:  43%|████▎     | 216/500 [01:09<01:20,  3.53it/s, loss=0.0049, lr=0.002]  \nSteps:  43%|████▎     | 217/500 [01:09<01:20,  3.53it/s, loss=0.0049, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  43%|████▎     | 217/500 [01:09<01:20,  3.53it/s, loss=0.00286, lr=0.002]\nSteps:  44%|████▎     | 218/500 [01:09<01:16,  3.66it/s, loss=0.00286, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  44%|████▎     | 218/500 [01:09<01:16,  3.66it/s, loss=0.000149, lr=0.002]\nSteps:  44%|████▍     | 219/500 [01:09<01:13,  3.80it/s, loss=0.000149, lr=0.002]\na photo of my <s1><s2>\nSteps:  44%|████▍     | 219/500 [01:09<01:13,  3.80it/s, loss=0.0516, lr=0.002]  \nSteps:  44%|████▍     | 220/500 [01:10<01:12,  3.87it/s, loss=0.0516, lr=0.002]\na photo of the clean <s1><s2>\ntensor([[0.4122],\n[0.4217]], device='cuda:0')\nCurrent Norm : tensor([0.4098, 0.4173], device='cuda:0')\nSteps:  44%|████▍     | 220/500 [01:10<01:12,  3.87it/s, loss=0.0941, lr=0.002]\nSteps:  44%|████▍     | 221/500 [01:10<01:14,  3.75it/s, loss=0.0941, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  44%|████▍     | 221/500 [01:10<01:14,  3.75it/s, loss=0.009, lr=0.002] \nSteps:  44%|████▍     | 222/500 [01:10<01:24,  3.28it/s, loss=0.009, lr=0.002]\na photo of a small <s1><s2>\nSteps:  44%|████▍     | 222/500 [01:10<01:24,  3.28it/s, loss=0.00726, lr=0.002]\nSteps:  45%|████▍     | 223/500 [01:10<01:19,  3.48it/s, loss=0.00726, lr=0.002]\na good photo of the <s1><s2>\nSteps:  45%|████▍     | 223/500 [01:10<01:19,  3.48it/s, loss=0.00278, lr=0.002]\nSteps:  45%|████▍     | 224/500 [01:11<01:26,  3.20it/s, loss=0.00278, lr=0.002]\nthe photo of a <s1><s2>\ntensor([[0.4118],\n[0.4219]], device='cuda:0')\nCurrent Norm : tensor([0.4094, 0.4175], device='cuda:0')\nSteps:  45%|████▍     | 224/500 [01:11<01:26,  3.20it/s, loss=0.000234, lr=0.002]\nSteps:  45%|████▌     | 225/500 [01:11<01:21,  3.39it/s, loss=0.000234, lr=0.002]\na photo of the large <s1><s2>\nSteps:  45%|████▌     | 225/500 [01:11<01:21,  3.39it/s, loss=0.0981, lr=0.002]  \nSteps:  45%|████▌     | 226/500 [01:12<01:30,  3.03it/s, loss=0.0981, lr=0.002]\na photo of the cool <s1><s2>\nSteps:  45%|████▌     | 226/500 [01:12<01:30,  3.03it/s, loss=0.0016, lr=0.002]\nSteps:  45%|████▌     | 227/500 [01:12<01:23,  3.29it/s, loss=0.0016, lr=0.002]\na photo of one <s1><s2>\nSteps:  45%|████▌     | 227/500 [01:12<01:23,  3.29it/s, loss=0.0207, lr=0.002]\nSteps:  46%|████▌     | 228/500 [01:12<01:18,  3.48it/s, loss=0.0207, lr=0.002]\na dark photo of the <s1><s2>\ntensor([[0.4113],\n[0.4222]], device='cuda:0')\nCurrent Norm : tensor([0.4091, 0.4177], device='cuda:0')\nSteps:  46%|████▌     | 228/500 [01:12<01:18,  3.48it/s, loss=0.000244, lr=0.002]\nSteps:  46%|████▌     | 229/500 [01:12<01:17,  3.50it/s, loss=0.000244, lr=0.002]\na rendering of a <s1><s2>\nSteps:  46%|████▌     | 229/500 [01:12<01:17,  3.50it/s, loss=0.0141, lr=0.002]  \nSteps:  46%|████▌     | 230/500 [01:13<01:14,  3.63it/s, loss=0.0141, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  46%|████▌     | 230/500 [01:13<01:14,  3.63it/s, loss=0.0289, lr=0.002]\nSteps:  46%|████▌     | 231/500 [01:13<01:21,  3.29it/s, loss=0.0289, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  46%|████▌     | 231/500 [01:13<01:21,  3.29it/s, loss=8.23e-5, lr=0.002]\nSteps:  46%|████▋     | 232/500 [01:13<01:16,  3.49it/s, loss=8.23e-5, lr=0.002]\na bright photo of the <s1><s2>\ntensor([[0.4109],\n[0.4223]], device='cuda:0')\nCurrent Norm : tensor([0.4087, 0.4178], device='cuda:0')\nSteps:  46%|████▋     | 232/500 [01:13<01:16,  3.49it/s, loss=0.0013, lr=0.002] \nSteps:  47%|████▋     | 233/500 [01:14<01:26,  3.10it/s, loss=0.0013, lr=0.002]\na photo of a <s1><s2>\nSteps:  47%|████▋     | 233/500 [01:14<01:26,  3.10it/s, loss=0.00504, lr=0.002]\nSteps:  47%|████▋     | 234/500 [01:14<01:34,  2.82it/s, loss=0.00504, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  47%|████▋     | 234/500 [01:14<01:34,  2.82it/s, loss=0.00429, lr=0.002]\nSteps:  47%|████▋     | 235/500 [01:14<01:29,  2.97it/s, loss=0.00429, lr=0.002]\na photo of the large <s1><s2>\nSteps:  47%|████▋     | 235/500 [01:14<01:29,  2.97it/s, loss=0.00422, lr=0.002]\nSteps:  47%|████▋     | 236/500 [01:15<01:22,  3.18it/s, loss=0.00422, lr=0.002]\na cropped photo of the <s1><s2>\ntensor([[0.4105],\n[0.4224]], device='cuda:0')\nCurrent Norm : tensor([0.4084, 0.4180], device='cuda:0')\nSteps:  47%|████▋     | 236/500 [01:15<01:22,  3.18it/s, loss=0.00756, lr=0.002]\nSteps:  47%|████▋     | 237/500 [01:15<01:20,  3.27it/s, loss=0.00756, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  47%|████▋     | 237/500 [01:15<01:20,  3.27it/s, loss=0.00273, lr=0.002]\nSteps:  48%|████▊     | 238/500 [01:15<01:16,  3.40it/s, loss=0.00273, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  48%|████▊     | 238/500 [01:15<01:16,  3.40it/s, loss=0.00283, lr=0.002]\nSteps:  48%|████▊     | 239/500 [01:15<01:16,  3.43it/s, loss=0.00283, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  48%|████▊     | 239/500 [01:15<01:16,  3.43it/s, loss=0.0263, lr=0.002] \nSteps:  48%|████▊     | 240/500 [01:16<01:23,  3.10it/s, loss=0.0263, lr=0.002]\na rendering of a <s1><s2>\ntensor([[0.4101],\n[0.4226]], device='cuda:0')\nCurrent Norm : tensor([0.4081, 0.4180], device='cuda:0')\nSteps:  48%|████▊     | 240/500 [01:16<01:23,  3.10it/s, loss=0.000781, lr=0.002]\nSteps:  48%|████▊     | 241/500 [01:16<01:19,  3.25it/s, loss=0.000781, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  48%|████▊     | 241/500 [01:16<01:19,  3.25it/s, loss=0.033, lr=0.002]   \nSteps:  48%|████▊     | 242/500 [01:16<01:14,  3.44it/s, loss=0.033, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  48%|████▊     | 242/500 [01:16<01:14,  3.44it/s, loss=0.00583, lr=0.002]\nSteps:  49%|████▊     | 243/500 [01:17<01:12,  3.55it/s, loss=0.00583, lr=0.002]\na photo of the <s1><s2>\nSteps:  49%|████▊     | 243/500 [01:17<01:12,  3.55it/s, loss=0.0192, lr=0.002] \nSteps:  49%|████▉     | 244/500 [01:17<01:24,  3.01it/s, loss=0.0192, lr=0.002]\na photo of the <s1><s2>\ntensor([[0.4099],\n[0.4228]], device='cuda:0')\nCurrent Norm : tensor([0.4079, 0.4183], device='cuda:0')\nSteps:  49%|████▉     | 244/500 [01:17<01:24,  3.01it/s, loss=0.000695, lr=0.002]\nSteps:  49%|████▉     | 245/500 [01:17<01:22,  3.07it/s, loss=0.000695, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  49%|████▉     | 245/500 [01:17<01:22,  3.07it/s, loss=0.000637, lr=0.002]\nSteps:  49%|████▉     | 246/500 [01:18<01:17,  3.28it/s, loss=0.000637, lr=0.002]\na good photo of a <s1><s2>\nSteps:  49%|████▉     | 246/500 [01:18<01:17,  3.28it/s, loss=0.000824, lr=0.002]\nSteps:  49%|████▉     | 247/500 [01:18<01:25,  2.97it/s, loss=0.000824, lr=0.002]\na photo of a clean <s1><s2>\nSteps:  49%|████▉     | 247/500 [01:18<01:25,  2.97it/s, loss=0.000446, lr=0.002]\nSteps:  50%|████▉     | 248/500 [01:18<01:21,  3.08it/s, loss=0.000446, lr=0.002]\na photo of the small <s1><s2>\ntensor([[0.4097],\n[0.4230]], device='cuda:0')\nCurrent Norm : tensor([0.4078, 0.4184], device='cuda:0')\nSteps:  50%|████▉     | 248/500 [01:18<01:21,  3.08it/s, loss=0.00172, lr=0.002] \nSteps:  50%|████▉     | 249/500 [01:19<01:29,  2.79it/s, loss=0.00172, lr=0.002]\na photo of the cool <s1><s2>\nSteps:  50%|████▉     | 249/500 [01:19<01:29,  2.79it/s, loss=0.000349, lr=0.002]\nSteps:  50%|█████     | 250/500 [01:19<01:22,  3.04it/s, loss=0.000349, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  50%|█████     | 250/500 [01:19<01:22,  3.04it/s, loss=0.00635, lr=0.002] \nSteps:  50%|█████     | 251/500 [01:19<01:16,  3.25it/s, loss=0.00635, lr=0.002]\na photo of a <s1><s2>\nSteps:  50%|█████     | 251/500 [01:19<01:16,  3.25it/s, loss=0.00309, lr=0.002]\nSteps:  50%|█████     | 252/500 [01:20<01:12,  3.42it/s, loss=0.00309, lr=0.002]\na photo of the large <s1><s2>\ntensor([[0.4095],\n[0.4230]], device='cuda:0')\nCurrent Norm : tensor([0.4076, 0.4184], device='cuda:0')\nSteps:  50%|█████     | 252/500 [01:20<01:12,  3.42it/s, loss=0.00955, lr=0.002]\nSteps:  51%|█████     | 253/500 [01:20<01:10,  3.51it/s, loss=0.00955, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  51%|█████     | 253/500 [01:20<01:10,  3.51it/s, loss=0.0794, lr=0.002] \nSteps:  51%|█████     | 254/500 [01:20<01:10,  3.51it/s, loss=0.0794, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  51%|█████     | 254/500 [01:20<01:10,  3.51it/s, loss=0.00516, lr=0.002]\nSteps:  51%|█████     | 255/500 [01:20<01:18,  3.13it/s, loss=0.00516, lr=0.002]\na good photo of the <s1><s2>\nSteps:  51%|█████     | 255/500 [01:20<01:18,  3.13it/s, loss=0.000313, lr=0.002]\nSteps:  51%|█████     | 256/500 [01:21<01:13,  3.31it/s, loss=0.000313, lr=0.002]\na photo of a <s1><s2>\ntensor([[0.4093],\n[0.4228]], device='cuda:0')\nCurrent Norm : tensor([0.4074, 0.4183], device='cuda:0')\nSteps:  51%|█████     | 256/500 [01:21<01:13,  3.31it/s, loss=0.0139, lr=0.002]  \nSteps:  51%|█████▏    | 257/500 [01:21<01:23,  2.92it/s, loss=0.0139, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  51%|█████▏    | 257/500 [01:21<01:23,  2.92it/s, loss=0.00152, lr=0.002]\nSteps:  52%|█████▏    | 258/500 [01:21<01:17,  3.11it/s, loss=0.00152, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  52%|█████▏    | 258/500 [01:21<01:17,  3.11it/s, loss=0.00165, lr=0.002]\nSteps:  52%|█████▏    | 259/500 [01:22<01:13,  3.28it/s, loss=0.00165, lr=0.002]\na bright photo of the <s1><s2>\nSteps:  52%|█████▏    | 259/500 [01:22<01:13,  3.28it/s, loss=0.00235, lr=0.002]\nSteps:  52%|█████▏    | 260/500 [01:22<01:10,  3.40it/s, loss=0.00235, lr=0.002]\na photo of a clean <s1><s2>\ntensor([[0.4092],\n[0.4226]], device='cuda:0')\nCurrent Norm : tensor([0.4073, 0.4180], device='cuda:0')\nSteps:  52%|█████▏    | 260/500 [01:22<01:10,  3.40it/s, loss=0.0602, lr=0.002] \nSteps:  52%|█████▏    | 261/500 [01:22<01:23,  2.87it/s, loss=0.0602, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  52%|█████▏    | 261/500 [01:22<01:23,  2.87it/s, loss=0.00551, lr=0.002]\nSteps:  52%|█████▏    | 262/500 [01:23<01:31,  2.61it/s, loss=0.00551, lr=0.002]\na bright photo of the <s1><s2>\nSteps:  52%|█████▏    | 262/500 [01:23<01:31,  2.61it/s, loss=0.00472, lr=0.002]\nSteps:  53%|█████▎    | 263/500 [01:23<01:22,  2.87it/s, loss=0.00472, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  53%|█████▎    | 263/500 [01:23<01:22,  2.87it/s, loss=0.000771, lr=0.002]\nSteps:  53%|█████▎    | 264/500 [01:23<01:15,  3.11it/s, loss=0.000771, lr=0.002]\na good photo of the <s1><s2>\ntensor([[0.4091],\n[0.4224]], device='cuda:0')\nCurrent Norm : tensor([0.4073, 0.4179], device='cuda:0')\nSteps:  53%|█████▎    | 264/500 [01:23<01:15,  3.11it/s, loss=0.00174, lr=0.002] \nSteps:  53%|█████▎    | 265/500 [01:24<01:14,  3.16it/s, loss=0.00174, lr=0.002]\na photo of the cool <s1><s2>\nSteps:  53%|█████▎    | 265/500 [01:24<01:14,  3.16it/s, loss=0.00403, lr=0.002]\nSteps:  53%|█████▎    | 266/500 [01:24<01:09,  3.36it/s, loss=0.00403, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  53%|█████▎    | 266/500 [01:24<01:09,  3.36it/s, loss=0.00155, lr=0.002]\nSteps:  53%|█████▎    | 267/500 [01:24<01:06,  3.51it/s, loss=0.00155, lr=0.002]\na photo of the small <s1><s2>\nSteps:  53%|█████▎    | 267/500 [01:24<01:06,  3.51it/s, loss=0.0192, lr=0.002] \nSteps:  54%|█████▎    | 268/500 [01:25<01:06,  3.51it/s, loss=0.0192, lr=0.002]\na photo of one <s1><s2>\ntensor([[0.4091],\n[0.4222]], device='cuda:0')\nCurrent Norm : tensor([0.4073, 0.4178], device='cuda:0')\nSteps:  54%|█████▎    | 268/500 [01:25<01:06,  3.51it/s, loss=0.000823, lr=0.002]\nSteps:  54%|█████▍    | 269/500 [01:25<01:16,  3.03it/s, loss=0.000823, lr=0.002]\na photo of a small <s1><s2>\nSteps:  54%|█████▍    | 269/500 [01:25<01:16,  3.03it/s, loss=0.00844, lr=0.002] \nSteps:  54%|█████▍    | 270/500 [01:25<01:10,  3.26it/s, loss=0.00844, lr=0.002]\na photo of a small <s1><s2>\nSteps:  54%|█████▍    | 270/500 [01:25<01:10,  3.26it/s, loss=0.0732, lr=0.002] \nSteps:  54%|█████▍    | 271/500 [01:26<01:20,  2.86it/s, loss=0.0732, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  54%|█████▍    | 271/500 [01:26<01:20,  2.86it/s, loss=0.0023, lr=0.002]\nSteps:  54%|█████▍    | 272/500 [01:26<01:13,  3.12it/s, loss=0.0023, lr=0.002]\na rendition of a <s1><s2>\ntensor([[0.4090],\n[0.4219]], device='cuda:0')\nCurrent Norm : tensor([0.4072, 0.4175], device='cuda:0')\nSteps:  54%|█████▍    | 272/500 [01:26<01:13,  3.12it/s, loss=0.0172, lr=0.002]\nSteps:  55%|█████▍    | 273/500 [01:26<01:08,  3.32it/s, loss=0.0172, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  55%|█████▍    | 273/500 [01:26<01:08,  3.32it/s, loss=0.0111, lr=0.002]\nSteps:  55%|█████▍    | 274/500 [01:26<01:05,  3.44it/s, loss=0.0111, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  55%|█████▍    | 274/500 [01:26<01:05,  3.44it/s, loss=0.00722, lr=0.002]\nSteps:  55%|█████▌    | 275/500 [01:27<01:03,  3.56it/s, loss=0.00722, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  55%|█████▌    | 275/500 [01:27<01:03,  3.56it/s, loss=0.00764, lr=0.002]\nSteps:  55%|█████▌    | 276/500 [01:27<01:00,  3.69it/s, loss=0.00764, lr=0.002]\na cropped photo of the <s1><s2>\ntensor([[0.4090],\n[0.4214]], device='cuda:0')\nCurrent Norm : tensor([0.4072, 0.4171], device='cuda:0')\nSteps:  55%|█████▌    | 276/500 [01:27<01:00,  3.69it/s, loss=0.000535, lr=0.002]\nSteps:  55%|█████▌    | 277/500 [01:27<01:09,  3.20it/s, loss=0.000535, lr=0.002]\na rendition of a <s1><s2>\nSteps:  55%|█████▌    | 277/500 [01:27<01:09,  3.20it/s, loss=0.00321, lr=0.002] \nSteps:  56%|█████▌    | 278/500 [01:28<01:06,  3.35it/s, loss=0.00321, lr=0.002]\na good photo of a <s1><s2>\nSteps:  56%|█████▌    | 278/500 [01:28<01:06,  3.35it/s, loss=0.00316, lr=0.002]\nSteps:  56%|█████▌    | 279/500 [01:28<01:06,  3.34it/s, loss=0.00316, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  56%|█████▌    | 279/500 [01:28<01:06,  3.34it/s, loss=0.00192, lr=0.002]\nSteps:  56%|█████▌    | 280/500 [01:28<01:16,  2.88it/s, loss=0.00192, lr=0.002]\na photo of a clean <s1><s2>\ntensor([[0.4090],\n[0.4209]], device='cuda:0')\nCurrent Norm : tensor([0.4072, 0.4167], device='cuda:0')\nSteps:  56%|█████▌    | 280/500 [01:28<01:16,  2.88it/s, loss=9.6e-5, lr=0.002] \nSteps:  56%|█████▌    | 281/500 [01:29<01:11,  3.06it/s, loss=9.6e-5, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:  56%|█████▌    | 281/500 [01:29<01:11,  3.06it/s, loss=0.00752, lr=0.002]\nSteps:  56%|█████▋    | 282/500 [01:29<01:06,  3.27it/s, loss=0.00752, lr=0.002]\na good photo of a <s1><s2>\nSteps:  56%|█████▋    | 282/500 [01:29<01:06,  3.27it/s, loss=0.00161, lr=0.002]\nSteps:  57%|█████▋    | 283/500 [01:29<01:03,  3.42it/s, loss=0.00161, lr=0.002]\na rendition of the <s1><s2>\nSteps:  57%|█████▋    | 283/500 [01:29<01:03,  3.42it/s, loss=0.0142, lr=0.002] \nSteps:  57%|█████▋    | 284/500 [01:30<01:08,  3.14it/s, loss=0.0142, lr=0.002]\na photo of my <s1><s2>\ntensor([[0.4090],\n[0.4204]], device='cuda:0')\nCurrent Norm : tensor([0.4072, 0.4163], device='cuda:0')\nSteps:  57%|█████▋    | 284/500 [01:30<01:08,  3.14it/s, loss=6.19e-5, lr=0.002]\nSteps:  57%|█████▋    | 285/500 [01:30<01:07,  3.19it/s, loss=6.19e-5, lr=0.002]\na rendition of the <s1><s2>\nSteps:  57%|█████▋    | 285/500 [01:30<01:07,  3.19it/s, loss=0.00561, lr=0.002]\nSteps:  57%|█████▋    | 286/500 [01:30<01:02,  3.43it/s, loss=0.00561, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  57%|█████▋    | 286/500 [01:30<01:02,  3.43it/s, loss=0.0392, lr=0.002] \nSteps:  57%|█████▋    | 287/500 [01:31<01:08,  3.09it/s, loss=0.0392, lr=0.002]\na photo of the <s1><s2>\nSteps:  57%|█████▋    | 287/500 [01:31<01:08,  3.09it/s, loss=0.00119, lr=0.002]\nSteps:  58%|█████▊    | 288/500 [01:31<01:04,  3.29it/s, loss=0.00119, lr=0.002]\na rendering of a <s1><s2>\ntensor([[0.4089],\n[0.4198]], device='cuda:0')\nCurrent Norm : tensor([0.4071, 0.4158], device='cuda:0')\nSteps:  58%|█████▊    | 288/500 [01:31<01:04,  3.29it/s, loss=0.00417, lr=0.002]\nSteps:  58%|█████▊    | 289/500 [01:31<01:03,  3.30it/s, loss=0.00417, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  58%|█████▊    | 289/500 [01:31<01:03,  3.30it/s, loss=0.000165, lr=0.002]\nSteps:  58%|█████▊    | 290/500 [01:31<01:11,  2.94it/s, loss=0.000165, lr=0.002]\na photo of one <s1><s2>\nSteps:  58%|█████▊    | 290/500 [01:31<01:11,  2.94it/s, loss=0.00129, lr=0.002] \nSteps:  58%|█████▊    | 291/500 [01:32<01:05,  3.17it/s, loss=0.00129, lr=0.002]\na photo of one <s1><s2>\nSteps:  58%|█████▊    | 291/500 [01:32<01:05,  3.17it/s, loss=0.0111, lr=0.002] \nSteps:  58%|█████▊    | 292/500 [01:32<01:11,  2.89it/s, loss=0.0111, lr=0.002]\na photo of a clean <s1><s2>\ntensor([[0.4089],\n[0.4194]], device='cuda:0')\nCurrent Norm : tensor([0.4071, 0.4155], device='cuda:0')\nSteps:  58%|█████▊    | 292/500 [01:32<01:11,  2.89it/s, loss=0.00184, lr=0.002]\nSteps:  59%|█████▊    | 293/500 [01:32<01:07,  3.07it/s, loss=0.00184, lr=0.002]\na photo of the weird <s1><s2>\nSteps:  59%|█████▊    | 293/500 [01:32<01:07,  3.07it/s, loss=0.00349, lr=0.002]\nSteps:  59%|█████▉    | 294/500 [01:33<01:01,  3.33it/s, loss=0.00349, lr=0.002]\na photo of the small <s1><s2>\nSteps:  59%|█████▉    | 294/500 [01:33<01:01,  3.33it/s, loss=0.0499, lr=0.002] \nSteps:  59%|█████▉    | 295/500 [01:33<01:08,  3.01it/s, loss=0.0499, lr=0.002]\na photo of one <s1><s2>\nSteps:  59%|█████▉    | 295/500 [01:33<01:08,  3.01it/s, loss=0.00109, lr=0.002]\nSteps:  59%|█████▉    | 296/500 [01:34<01:12,  2.81it/s, loss=0.00109, lr=0.002]\na photo of the clean <s1><s2>\ntensor([[0.4088],\n[0.4189]], device='cuda:0')\nCurrent Norm : tensor([0.4070, 0.4151], device='cuda:0')\nSteps:  59%|█████▉    | 296/500 [01:34<01:12,  2.81it/s, loss=0.00157, lr=0.002]\nSteps:  59%|█████▉    | 297/500 [01:34<01:06,  3.05it/s, loss=0.00157, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  59%|█████▉    | 297/500 [01:34<01:06,  3.05it/s, loss=0.000537, lr=0.002]\nSteps:  60%|█████▉    | 298/500 [01:34<01:01,  3.29it/s, loss=0.000537, lr=0.002]\na rendition of the <s1><s2>\nSteps:  60%|█████▉    | 298/500 [01:34<01:01,  3.29it/s, loss=0.000194, lr=0.002]\nSteps:  60%|█████▉    | 299/500 [01:34<01:01,  3.27it/s, loss=0.000194, lr=0.002]\na photo of a clean <s1><s2>\nSteps:  60%|█████▉    | 299/500 [01:34<01:01,  3.27it/s, loss=0.000989, lr=0.002]\nSteps:  60%|██████    | 300/500 [01:35<00:57,  3.47it/s, loss=0.000989, lr=0.002]\na rendering of a <s1><s2>\ntensor([[0.4086],\n[0.4186]], device='cuda:0')\nCurrent Norm : tensor([0.4069, 0.4148], device='cuda:0')\nSteps:  60%|██████    | 300/500 [01:35<00:57,  3.47it/s, loss=0.0205, lr=0.002]  \nSteps:  60%|██████    | 301/500 [01:35<00:55,  3.56it/s, loss=0.0205, lr=0.002]\na cropped photo of a <s1><s2>\nSteps:  60%|██████    | 301/500 [01:35<00:55,  3.56it/s, loss=0.0118, lr=0.002]\nSteps:  60%|██████    | 302/500 [01:35<01:03,  3.12it/s, loss=0.0118, lr=0.002]\na photo of the small <s1><s2>\nSteps:  60%|██████    | 302/500 [01:35<01:03,  3.12it/s, loss=0.00229, lr=0.002]\nSteps:  61%|██████    | 303/500 [01:36<01:09,  2.84it/s, loss=0.00229, lr=0.002]\na good photo of the <s1><s2>\nSteps:  61%|██████    | 303/500 [01:36<01:09,  2.84it/s, loss=8.45e-5, lr=0.002]\nSteps:  61%|██████    | 304/500 [01:36<01:03,  3.08it/s, loss=8.45e-5, lr=0.002]\na photo of my <s1><s2>\ntensor([[0.4085],\n[0.4183]], device='cuda:0')\nCurrent Norm : tensor([0.4068, 0.4146], device='cuda:0')\nSteps:  61%|██████    | 304/500 [01:36<01:03,  3.08it/s, loss=0.0218, lr=0.002] \nSteps:  61%|██████    | 305/500 [01:36<00:59,  3.30it/s, loss=0.0218, lr=0.002]\na good photo of the <s1><s2>\nSteps:  61%|██████    | 305/500 [01:36<00:59,  3.30it/s, loss=0.000278, lr=0.002]\nSteps:  61%|██████    | 306/500 [01:36<00:55,  3.48it/s, loss=0.000278, lr=0.002]\na photo of a clean <s1><s2>\nSteps:  61%|██████    | 306/500 [01:36<00:55,  3.48it/s, loss=0.0216, lr=0.002]  \nSteps:  61%|██████▏   | 307/500 [01:37<00:53,  3.58it/s, loss=0.0216, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  61%|██████▏   | 307/500 [01:37<00:53,  3.58it/s, loss=0.0571, lr=0.002]\nSteps:  62%|██████▏   | 308/500 [01:37<00:54,  3.51it/s, loss=0.0571, lr=0.002]\na photo of a small <s1><s2>\ntensor([[0.4084],\n[0.4179]], device='cuda:0')\nCurrent Norm : tensor([0.4067, 0.4143], device='cuda:0')\nSteps:  62%|██████▏   | 308/500 [01:37<00:54,  3.51it/s, loss=0.00128, lr=0.002]\nSteps:  62%|██████▏   | 309/500 [01:37<01:01,  3.09it/s, loss=0.00128, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  62%|██████▏   | 309/500 [01:37<01:01,  3.09it/s, loss=0.000692, lr=0.002]\nSteps:  62%|██████▏   | 310/500 [01:38<01:05,  2.88it/s, loss=0.000692, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  62%|██████▏   | 310/500 [01:38<01:05,  2.88it/s, loss=0.00332, lr=0.002] \nSteps:  62%|██████▏   | 311/500 [01:38<01:01,  3.06it/s, loss=0.00332, lr=0.002]\na photo of the large <s1><s2>\nSteps:  62%|██████▏   | 311/500 [01:38<01:01,  3.06it/s, loss=0.00511, lr=0.002]\nSteps:  62%|██████▏   | 312/500 [01:38<00:57,  3.28it/s, loss=0.00511, lr=0.002]\na rendering of a <s1><s2>\ntensor([[0.4082],\n[0.4177]], device='cuda:0')\nCurrent Norm : tensor([0.4065, 0.4141], device='cuda:0')\nSteps:  62%|██████▏   | 312/500 [01:38<00:57,  3.28it/s, loss=0.00182, lr=0.002]\nSteps:  63%|██████▎   | 313/500 [01:39<00:54,  3.43it/s, loss=0.00182, lr=0.002]\na rendition of a <s1><s2>\nSteps:  63%|██████▎   | 313/500 [01:39<00:54,  3.43it/s, loss=0.00231, lr=0.002]\nSteps:  63%|██████▎   | 314/500 [01:39<00:51,  3.62it/s, loss=0.00231, lr=0.002]\na rendition of a <s1><s2>\nSteps:  63%|██████▎   | 314/500 [01:39<00:51,  3.62it/s, loss=0.0285, lr=0.002] \nSteps:  63%|██████▎   | 315/500 [01:39<00:49,  3.73it/s, loss=0.0285, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  63%|██████▎   | 315/500 [01:39<00:49,  3.73it/s, loss=0.00596, lr=0.002]\nSteps:  63%|██████▎   | 316/500 [01:40<00:57,  3.20it/s, loss=0.00596, lr=0.002]\na bright photo of the <s1><s2>\ntensor([[0.4080],\n[0.4176]], device='cuda:0')\nCurrent Norm : tensor([0.4064, 0.4141], device='cuda:0')\nSteps:  63%|██████▎   | 316/500 [01:40<00:57,  3.20it/s, loss=0.00627, lr=0.002]\nSteps:  63%|██████▎   | 317/500 [01:40<00:54,  3.38it/s, loss=0.00627, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  63%|██████▎   | 317/500 [01:40<00:54,  3.38it/s, loss=0.00346, lr=0.002]\nSteps:  64%|██████▎   | 318/500 [01:40<00:51,  3.51it/s, loss=0.00346, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:  64%|██████▎   | 318/500 [01:40<00:51,  3.51it/s, loss=0.000953, lr=0.002]\nSteps:  64%|██████▍   | 319/500 [01:40<01:00,  3.00it/s, loss=0.000953, lr=0.002]\na photo of the weird <s1><s2>\nSteps:  64%|██████▍   | 319/500 [01:40<01:00,  3.00it/s, loss=0.000627, lr=0.002]\nSteps:  64%|██████▍   | 320/500 [01:41<00:56,  3.20it/s, loss=0.000627, lr=0.002]\na photo of a clean <s1><s2>\ntensor([[0.4079],\n[0.4176]], device='cuda:0')\nCurrent Norm : tensor([0.4063, 0.4141], device='cuda:0')\nSteps:  64%|██████▍   | 320/500 [01:41<00:56,  3.20it/s, loss=0.0016, lr=0.002]  \nSteps:  64%|██████▍   | 321/500 [01:41<00:52,  3.38it/s, loss=0.0016, lr=0.002]\na photo of a cool <s1><s2>\nSteps:  64%|██████▍   | 321/500 [01:41<00:52,  3.38it/s, loss=0.00399, lr=0.002]\nSteps:  64%|██████▍   | 322/500 [01:41<00:52,  3.42it/s, loss=0.00399, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  64%|██████▍   | 322/500 [01:41<00:52,  3.42it/s, loss=0.000543, lr=0.002]\nSteps:  65%|██████▍   | 323/500 [01:42<00:58,  3.02it/s, loss=0.000543, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  65%|██████▍   | 323/500 [01:42<00:58,  3.02it/s, loss=0.00301, lr=0.002] \nSteps:  65%|██████▍   | 324/500 [01:42<00:55,  3.17it/s, loss=0.00301, lr=0.002]\na close-up photo of a <s1><s2>\ntensor([[0.4078],\n[0.4176]], device='cuda:0')\nCurrent Norm : tensor([0.4062, 0.4141], device='cuda:0')\nSteps:  65%|██████▍   | 324/500 [01:42<00:55,  3.17it/s, loss=0.00776, lr=0.002]\nSteps:  65%|██████▌   | 325/500 [01:42<01:00,  2.90it/s, loss=0.00776, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  65%|██████▌   | 325/500 [01:42<01:00,  2.90it/s, loss=0.00301, lr=0.002]\nSteps:  65%|██████▌   | 326/500 [01:43<00:55,  3.13it/s, loss=0.00301, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  65%|██████▌   | 326/500 [01:43<00:55,  3.13it/s, loss=0.00102, lr=0.002]\nSteps:  65%|██████▌   | 327/500 [01:43<00:52,  3.32it/s, loss=0.00102, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  65%|██████▌   | 327/500 [01:43<00:52,  3.32it/s, loss=0.000432, lr=0.002]\nSteps:  66%|██████▌   | 328/500 [01:43<00:49,  3.49it/s, loss=0.000432, lr=0.002]\na close-up photo of the <s1><s2>\ntensor([[0.4076],\n[0.4175]], device='cuda:0')\nCurrent Norm : tensor([0.4061, 0.4140], device='cuda:0')\nSteps:  66%|██████▌   | 328/500 [01:43<00:49,  3.49it/s, loss=0.000583, lr=0.002]\nSteps:  66%|██████▌   | 329/500 [01:43<00:49,  3.43it/s, loss=0.000583, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  66%|██████▌   | 329/500 [01:43<00:49,  3.43it/s, loss=0.000281, lr=0.002]\nSteps:  66%|██████▌   | 330/500 [01:44<00:48,  3.50it/s, loss=0.000281, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  66%|██████▌   | 330/500 [01:44<00:48,  3.50it/s, loss=0.00528, lr=0.002] \nSteps:  66%|██████▌   | 331/500 [01:44<00:46,  3.65it/s, loss=0.00528, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  66%|██████▌   | 331/500 [01:44<00:46,  3.65it/s, loss=0.0451, lr=0.002] \nSteps:  66%|██████▋   | 332/500 [01:44<00:55,  3.04it/s, loss=0.0451, lr=0.002]\na cropped photo of a <s1><s2>\ntensor([[0.4074],\n[0.4174]], device='cuda:0')\nCurrent Norm : tensor([0.4059, 0.4139], device='cuda:0')\nSteps:  66%|██████▋   | 332/500 [01:44<00:55,  3.04it/s, loss=0.000493, lr=0.002]\nSteps:  67%|██████▋   | 333/500 [01:45<00:51,  3.22it/s, loss=0.000493, lr=0.002]\na photo of one <s1><s2>\nSteps:  67%|██████▋   | 333/500 [01:45<00:51,  3.22it/s, loss=0.00374, lr=0.002] \nSteps:  67%|██████▋   | 334/500 [01:45<00:49,  3.33it/s, loss=0.00374, lr=0.002]\na photo of my <s1><s2>\nSteps:  67%|██████▋   | 334/500 [01:45<00:49,  3.33it/s, loss=0.00137, lr=0.002]\nSteps:  67%|██████▋   | 335/500 [01:45<00:49,  3.35it/s, loss=0.00137, lr=0.002]\na rendering of a <s1><s2>\nSteps:  67%|██████▋   | 335/500 [01:45<00:49,  3.35it/s, loss=0.0027, lr=0.002] \nSteps:  67%|██████▋   | 336/500 [01:46<00:53,  3.06it/s, loss=0.0027, lr=0.002]\na photo of one <s1><s2>\ntensor([[0.4074],\n[0.4173]], device='cuda:0')\nCurrent Norm : tensor([0.4059, 0.4138], device='cuda:0')\nSteps:  67%|██████▋   | 336/500 [01:46<00:53,  3.06it/s, loss=0.000258, lr=0.002]\nSteps:  67%|██████▋   | 337/500 [01:46<00:50,  3.22it/s, loss=0.000258, lr=0.002]\na photo of a small <s1><s2>\nSteps:  67%|██████▋   | 337/500 [01:46<00:50,  3.22it/s, loss=0.0351, lr=0.002]  \nSteps:  68%|██████▊   | 338/500 [01:46<00:56,  2.89it/s, loss=0.0351, lr=0.002]\na photo of a clean <s1><s2>\nSteps:  68%|██████▊   | 338/500 [01:46<00:56,  2.89it/s, loss=0.00653, lr=0.002]\nSteps:  68%|██████▊   | 339/500 [01:47<00:59,  2.71it/s, loss=0.00653, lr=0.002]\na rendition of a <s1><s2>\nSteps:  68%|██████▊   | 339/500 [01:47<00:59,  2.71it/s, loss=0.000804, lr=0.002]\nSteps:  68%|██████▊   | 340/500 [01:47<00:52,  3.03it/s, loss=0.000804, lr=0.002]\na good photo of the <s1><s2>\ntensor([[0.4072],\n[0.4171]], device='cuda:0')\nCurrent Norm : tensor([0.4057, 0.4137], device='cuda:0')\nSteps:  68%|██████▊   | 340/500 [01:47<00:52,  3.03it/s, loss=0.0193, lr=0.002]  \nSteps:  68%|██████▊   | 341/500 [01:47<00:50,  3.14it/s, loss=0.0193, lr=0.002]\na photo of the large <s1><s2>\nSteps:  68%|██████▊   | 341/500 [01:47<00:50,  3.14it/s, loss=0.000479, lr=0.002]\nSteps:  68%|██████▊   | 342/500 [01:48<00:48,  3.26it/s, loss=0.000479, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  68%|██████▊   | 342/500 [01:48<00:48,  3.26it/s, loss=0.0216, lr=0.002]  \nSteps:  69%|██████▊   | 343/500 [01:48<00:45,  3.45it/s, loss=0.0216, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  69%|██████▊   | 343/500 [01:48<00:45,  3.45it/s, loss=0.00175, lr=0.002]\nSteps:  69%|██████▉   | 344/500 [01:48<00:45,  3.40it/s, loss=0.00175, lr=0.002]\na photo of the nice <s1><s2>\ntensor([[0.4070],\n[0.4169]], device='cuda:0')\nCurrent Norm : tensor([0.4056, 0.4135], device='cuda:0')\nSteps:  69%|██████▉   | 344/500 [01:48<00:45,  3.40it/s, loss=0.00301, lr=0.002]\nSteps:  69%|██████▉   | 345/500 [01:48<00:44,  3.52it/s, loss=0.00301, lr=0.002]\na cropped photo of a <s1><s2>\nSteps:  69%|██████▉   | 345/500 [01:48<00:44,  3.52it/s, loss=0.00423, lr=0.002]\nSteps:  69%|██████▉   | 346/500 [01:49<00:48,  3.16it/s, loss=0.00423, lr=0.002]\na photo of a <s1><s2>\nSteps:  69%|██████▉   | 346/500 [01:49<00:48,  3.16it/s, loss=0.00203, lr=0.002]\nSteps:  69%|██████▉   | 347/500 [01:49<00:52,  2.91it/s, loss=0.00203, lr=0.002]\na photo of a clean <s1><s2>\nSteps:  69%|██████▉   | 347/500 [01:49<00:52,  2.91it/s, loss=6.97e-5, lr=0.002]\nSteps:  70%|██████▉   | 348/500 [01:49<00:48,  3.13it/s, loss=6.97e-5, lr=0.002]\na photo of one <s1><s2>\ntensor([[0.4068],\n[0.4168]], device='cuda:0')\nCurrent Norm : tensor([0.4055, 0.4134], device='cuda:0')\nSteps:  70%|██████▉   | 348/500 [01:49<00:48,  3.13it/s, loss=0.00816, lr=0.002]\nSteps:  70%|██████▉   | 349/500 [01:50<00:46,  3.23it/s, loss=0.00816, lr=0.002]\na dark photo of the <s1><s2>\nSteps:  70%|██████▉   | 349/500 [01:50<00:46,  3.23it/s, loss=0.00456, lr=0.002]\nSteps:  70%|███████   | 350/500 [01:50<00:44,  3.40it/s, loss=0.00456, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  70%|███████   | 350/500 [01:50<00:44,  3.40it/s, loss=0.0143, lr=0.002] \nSteps:  70%|███████   | 351/500 [01:50<00:45,  3.26it/s, loss=0.0143, lr=0.002]\na rendition of the <s1><s2>\nSteps:  70%|███████   | 351/500 [01:50<00:45,  3.26it/s, loss=0.00219, lr=0.002]\nSteps:  70%|███████   | 352/500 [01:51<00:43,  3.42it/s, loss=0.00219, lr=0.002]\na rendition of the <s1><s2>\ntensor([[0.4066],\n        [0.4167]], device='cuda:0')\nCurrent Norm : tensor([0.4053, 0.4134], device='cuda:0')\nSteps:  70%|███████   | 352/500 [01:51<00:43,  3.42it/s, loss=0.0016, lr=0.002] \nSteps:  71%|███████   | 353/500 [01:51<00:48,  3.05it/s, loss=0.0016, lr=0.002]\na photo of a <s1><s2>\nSteps:  71%|███████   | 353/500 [01:51<00:48,  3.05it/s, loss=0.0017, lr=0.002]\nSteps:  71%|███████   | 354/500 [01:51<00:44,  3.25it/s, loss=0.0017, lr=0.002]\na photo of a <s1><s2>\nSteps:  71%|███████   | 354/500 [01:51<00:44,  3.25it/s, loss=0.00208, lr=0.002]\nSteps:  71%|███████   | 355/500 [01:52<00:42,  3.40it/s, loss=0.00208, lr=0.002]\na photo of a small <s1><s2>\nSteps:  71%|███████   | 355/500 [01:52<00:42,  3.40it/s, loss=0.0226, lr=0.002] \nSteps:  71%|███████   | 356/500 [01:52<00:40,  3.57it/s, loss=0.0226, lr=0.002]\na rendition of the <s1><s2>\ntensor([[0.4061],\n[0.4166]], device='cuda:0')\nCurrent Norm : tensor([0.4049, 0.4133], device='cuda:0')\nSteps:  71%|███████   | 356/500 [01:52<00:40,  3.57it/s, loss=0.0256, lr=0.002]\nSteps:  71%|███████▏  | 357/500 [01:52<00:47,  3.04it/s, loss=0.0256, lr=0.002]\na rendering of a <s1><s2>\nSteps:  71%|███████▏  | 357/500 [01:52<00:47,  3.04it/s, loss=0.0046, lr=0.002]\nSteps:  72%|███████▏  | 358/500 [01:53<00:50,  2.80it/s, loss=0.0046, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:  72%|███████▏  | 358/500 [01:53<00:50,  2.80it/s, loss=0.000236, lr=0.002]\nSteps:  72%|███████▏  | 359/500 [01:53<00:45,  3.08it/s, loss=0.000236, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  72%|███████▏  | 359/500 [01:53<00:45,  3.08it/s, loss=0.0477, lr=0.002]  \nSteps:  72%|███████▏  | 360/500 [01:53<00:42,  3.26it/s, loss=0.0477, lr=0.002]\na photo of my <s1><s2>\ntensor([[0.4058],\n[0.4167]], device='cuda:0')\nCurrent Norm : tensor([0.4047, 0.4134], device='cuda:0')\nSteps:  72%|███████▏  | 360/500 [01:53<00:42,  3.26it/s, loss=0.000432, lr=0.002]\nSteps:  72%|███████▏  | 361/500 [01:53<00:40,  3.43it/s, loss=0.000432, lr=0.002]\na rendition of the <s1><s2>\nSteps:  72%|███████▏  | 361/500 [01:53<00:40,  3.43it/s, loss=0.0165, lr=0.002]  \nSteps:  72%|███████▏  | 362/500 [01:54<00:44,  3.12it/s, loss=0.0165, lr=0.002]\na rendering of a <s1><s2>\nSteps:  72%|███████▏  | 362/500 [01:54<00:44,  3.12it/s, loss=0.000304, lr=0.002]\nSteps:  73%|███████▎  | 363/500 [01:54<00:41,  3.27it/s, loss=0.000304, lr=0.002]\na good photo of a <s1><s2>\nSteps:  73%|███████▎  | 363/500 [01:54<00:41,  3.27it/s, loss=0.00245, lr=0.002] \nSteps:  73%|███████▎  | 364/500 [01:54<00:40,  3.36it/s, loss=0.00245, lr=0.002]\na photo of the large <s1><s2>\ntensor([[0.4056],\n[0.4169]], device='cuda:0')\nCurrent Norm : tensor([0.4045, 0.4135], device='cuda:0')\nSteps:  73%|███████▎  | 364/500 [01:54<00:40,  3.36it/s, loss=0.000128, lr=0.002]\nSteps:  73%|███████▎  | 365/500 [01:55<00:41,  3.25it/s, loss=0.000128, lr=0.002]\na photo of the large <s1><s2>\nSteps:  73%|███████▎  | 365/500 [01:55<00:41,  3.25it/s, loss=0.00679, lr=0.002] \nSteps:  73%|███████▎  | 366/500 [01:55<00:44,  2.98it/s, loss=0.00679, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  73%|███████▎  | 366/500 [01:55<00:44,  2.98it/s, loss=0.00325, lr=0.002]\nSteps:  73%|███████▎  | 367/500 [01:55<00:41,  3.17it/s, loss=0.00325, lr=0.002]\na bright photo of the <s1><s2>\nSteps:  73%|███████▎  | 367/500 [01:55<00:41,  3.17it/s, loss=0.000236, lr=0.002]\nSteps:  74%|███████▎  | 368/500 [01:56<00:38,  3.40it/s, loss=0.000236, lr=0.002]\na photo of a <s1><s2>\ntensor([[0.4055],\n[0.4172]], device='cuda:0')\nCurrent Norm : tensor([0.4044, 0.4138], device='cuda:0')\nSteps:  74%|███████▎  | 368/500 [01:56<00:38,  3.40it/s, loss=0.0098, lr=0.002]  \nSteps:  74%|███████▍  | 369/500 [01:56<00:38,  3.44it/s, loss=0.0098, lr=0.002]\na bright photo of the <s1><s2>\nSteps:  74%|███████▍  | 369/500 [01:56<00:38,  3.44it/s, loss=0.00368, lr=0.002]\nSteps:  74%|███████▍  | 370/500 [01:56<00:41,  3.15it/s, loss=0.00368, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:  74%|███████▍  | 370/500 [01:56<00:41,  3.15it/s, loss=0.00132, lr=0.002]\nSteps:  74%|███████▍  | 371/500 [01:57<00:38,  3.33it/s, loss=0.00132, lr=0.002]\na good photo of a <s1><s2>\nSteps:  74%|███████▍  | 371/500 [01:57<00:38,  3.33it/s, loss=0.0449, lr=0.002] \nSteps:  74%|███████▍  | 372/500 [01:57<00:36,  3.47it/s, loss=0.0449, lr=0.002]\na photo of a cool <s1><s2>\ntensor([[0.4054],\n[0.4175]], device='cuda:0')\nCurrent Norm : tensor([0.4043, 0.4140], device='cuda:0')\nSteps:  74%|███████▍  | 372/500 [01:57<00:36,  3.47it/s, loss=0.000366, lr=0.002]\nSteps:  75%|███████▍  | 373/500 [01:57<00:37,  3.40it/s, loss=0.000366, lr=0.002]\na good photo of the <s1><s2>\nSteps:  75%|███████▍  | 373/500 [01:57<00:37,  3.40it/s, loss=0.00709, lr=0.002] \nSteps:  75%|███████▍  | 374/500 [01:58<00:42,  2.99it/s, loss=0.00709, lr=0.002]\na photo of the cool <s1><s2>\nSteps:  75%|███████▍  | 374/500 [01:58<00:42,  2.99it/s, loss=0.00246, lr=0.002]\nSteps:  75%|███████▌  | 375/500 [01:58<00:45,  2.75it/s, loss=0.00246, lr=0.002]\na rendering of a <s1><s2>\nSteps:  75%|███████▌  | 375/500 [01:58<00:45,  2.75it/s, loss=0.0151, lr=0.002] \nSteps:  75%|███████▌  | 376/500 [01:58<00:41,  3.01it/s, loss=0.0151, lr=0.002]\na photo of the weird <s1><s2>\ntensor([[0.4055],\n[0.4177]], device='cuda:0')\nCurrent Norm : tensor([0.4044, 0.4142], device='cuda:0')\nSteps:  75%|███████▌  | 376/500 [01:58<00:41,  3.01it/s, loss=0.00427, lr=0.002]\nSteps:  75%|███████▌  | 377/500 [01:59<00:38,  3.20it/s, loss=0.00427, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  75%|███████▌  | 377/500 [01:59<00:38,  3.20it/s, loss=0.000826, lr=0.002]\nSteps:  76%|███████▌  | 378/500 [01:59<00:35,  3.41it/s, loss=0.000826, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  76%|███████▌  | 378/500 [01:59<00:35,  3.41it/s, loss=0.00124, lr=0.002] \nSteps:  76%|███████▌  | 379/500 [01:59<00:34,  3.55it/s, loss=0.00124, lr=0.002]\na photo of the small <s1><s2>\nSteps:  76%|███████▌  | 379/500 [01:59<00:34,  3.55it/s, loss=0.0174, lr=0.002] \nSteps:  76%|███████▌  | 380/500 [01:59<00:37,  3.23it/s, loss=0.0174, lr=0.002]\na rendering of a <s1><s2>\ntensor([[0.4051],\n[0.4178]], device='cuda:0')\nCurrent Norm : tensor([0.4041, 0.4143], device='cuda:0')\nSteps:  76%|███████▌  | 380/500 [01:59<00:37,  3.23it/s, loss=0.000934, lr=0.002]\nSteps:  76%|███████▌  | 381/500 [02:00<00:35,  3.36it/s, loss=0.000934, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  76%|███████▌  | 381/500 [02:00<00:35,  3.36it/s, loss=0.0217, lr=0.002]  \nSteps:  76%|███████▋  | 382/500 [02:00<00:33,  3.48it/s, loss=0.0217, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  76%|███████▋  | 382/500 [02:00<00:33,  3.48it/s, loss=0.00576, lr=0.002]\nSteps:  77%|███████▋  | 383/500 [02:00<00:37,  3.08it/s, loss=0.00576, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  77%|███████▋  | 383/500 [02:00<00:37,  3.08it/s, loss=0.00097, lr=0.002]\nSteps:  77%|███████▋  | 384/500 [02:01<00:36,  3.15it/s, loss=0.00097, lr=0.002]\na photo of one <s1><s2>\ntensor([[0.4049],\n[0.4182]], device='cuda:0')\nCurrent Norm : tensor([0.4039, 0.4146], device='cuda:0')\nSteps:  77%|███████▋  | 384/500 [02:01<00:36,  3.15it/s, loss=0.00606, lr=0.002]\nSteps:  77%|███████▋  | 385/500 [02:01<00:34,  3.35it/s, loss=0.00606, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  77%|███████▋  | 385/500 [02:01<00:34,  3.35it/s, loss=0.1, lr=0.002]    \nSteps:  77%|███████▋  | 386/500 [02:01<00:32,  3.50it/s, loss=0.1, lr=0.002]\na rendition of a <s1><s2>\nSteps:  77%|███████▋  | 386/500 [02:01<00:32,  3.50it/s, loss=0.001, lr=0.002]\nSteps:  77%|███████▋  | 387/500 [02:01<00:31,  3.59it/s, loss=0.001, lr=0.002]\na photo of a <s1><s2>\nSteps:  77%|███████▋  | 387/500 [02:01<00:31,  3.59it/s, loss=0.0502, lr=0.002]\nSteps:  78%|███████▊  | 388/500 [02:02<00:30,  3.66it/s, loss=0.0502, lr=0.002]\na photo of a <s1><s2>\ntensor([[0.4048],\n[0.4187]], device='cuda:0')\nCurrent Norm : tensor([0.4039, 0.4149], device='cuda:0')\nSteps:  78%|███████▊  | 388/500 [02:02<00:30,  3.66it/s, loss=0.000544, lr=0.002]\nSteps:  78%|███████▊  | 389/500 [02:02<00:34,  3.20it/s, loss=0.000544, lr=0.002]\na dark photo of the <s1><s2>\nSteps:  78%|███████▊  | 389/500 [02:02<00:34,  3.20it/s, loss=0.00028, lr=0.002] \nSteps:  78%|███████▊  | 390/500 [02:02<00:32,  3.40it/s, loss=0.00028, lr=0.002]\na photo of the <s1><s2>\nSteps:  78%|███████▊  | 390/500 [02:02<00:32,  3.40it/s, loss=0.00026, lr=0.002]\nSteps:  78%|███████▊  | 391/500 [02:03<00:31,  3.42it/s, loss=0.00026, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  78%|███████▊  | 391/500 [02:03<00:31,  3.42it/s, loss=0.00749, lr=0.002]\nSteps:  78%|███████▊  | 392/500 [02:03<00:35,  3.07it/s, loss=0.00749, lr=0.002]\na rendition of a <s1><s2>\ntensor([[0.4048],\n[0.4192]], device='cuda:0')\nCurrent Norm : tensor([0.4038, 0.4153], device='cuda:0')\nSteps:  78%|███████▊  | 392/500 [02:03<00:35,  3.07it/s, loss=0.000102, lr=0.002]\nSteps:  79%|███████▊  | 393/500 [02:03<00:33,  3.21it/s, loss=0.000102, lr=0.002]\na photo of the large <s1><s2>\nSteps:  79%|███████▊  | 393/500 [02:03<00:33,  3.21it/s, loss=0.0169, lr=0.002]  \nSteps:  79%|███████▉  | 394/500 [02:04<00:31,  3.36it/s, loss=0.0169, lr=0.002]\na bright photo of the <s1><s2>\nSteps:  79%|███████▉  | 394/500 [02:04<00:31,  3.36it/s, loss=0.0099, lr=0.002]\nSteps:  79%|███████▉  | 395/500 [02:04<00:30,  3.50it/s, loss=0.0099, lr=0.002]\na photo of the large <s1><s2>\nSteps:  79%|███████▉  | 395/500 [02:04<00:30,  3.50it/s, loss=0.0231, lr=0.002]\nSteps:  79%|███████▉  | 396/500 [02:04<00:32,  3.17it/s, loss=0.0231, lr=0.002]\na photo of the clean <s1><s2>\ntensor([[0.4047],\n[0.4195]], device='cuda:0')\nCurrent Norm : tensor([0.4038, 0.4156], device='cuda:0')\nSteps:  79%|███████▉  | 396/500 [02:04<00:32,  3.17it/s, loss=0.00311, lr=0.002]\nSteps:  79%|███████▉  | 397/500 [02:05<00:35,  2.93it/s, loss=0.00311, lr=0.002]\na photo of a cool <s1><s2>\nSteps:  79%|███████▉  | 397/500 [02:05<00:35,  2.93it/s, loss=0.00203, lr=0.002]\nSteps:  80%|███████▉  | 398/500 [02:05<00:33,  3.09it/s, loss=0.00203, lr=0.002]\na photo of the cool <s1><s2>\nSteps:  80%|███████▉  | 398/500 [02:05<00:33,  3.09it/s, loss=0.00674, lr=0.002]\nSteps:  80%|███████▉  | 399/500 [02:05<00:30,  3.27it/s, loss=0.00674, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  80%|███████▉  | 399/500 [02:05<00:30,  3.27it/s, loss=0.0243, lr=0.002] \nSteps:  80%|████████  | 400/500 [02:05<00:29,  3.39it/s, loss=0.0243, lr=0.002]\na photo of a small <s1><s2>\ntensor([[0.4048],\n[0.4197]], device='cuda:0')\nCurrent Norm : tensor([0.4039, 0.4157], device='cuda:0')\nSteps:  80%|████████  | 400/500 [02:05<00:29,  3.39it/s, loss=0.00191, lr=0.002]\nSteps:  80%|████████  | 401/500 [02:06<00:28,  3.45it/s, loss=0.00191, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  80%|████████  | 401/500 [02:06<00:28,  3.45it/s, loss=0.00297, lr=0.002]\nSteps:  80%|████████  | 402/500 [02:06<00:31,  3.12it/s, loss=0.00297, lr=0.002]\na photo of one <s1><s2>\nSteps:  80%|████████  | 402/500 [02:06<00:31,  3.12it/s, loss=0.00573, lr=0.002]\nSteps:  81%|████████  | 403/500 [02:06<00:29,  3.34it/s, loss=0.00573, lr=0.002]\na rendering of a <s1><s2>\nSteps:  81%|████████  | 403/500 [02:06<00:29,  3.34it/s, loss=0.00609, lr=0.002]\nSteps:  81%|████████  | 404/500 [02:07<00:27,  3.47it/s, loss=0.00609, lr=0.002]\na photo of the <s1><s2>\ntensor([[0.4050],\n[0.4199]], device='cuda:0')\nCurrent Norm : tensor([0.4040, 0.4159], device='cuda:0')\nSteps:  81%|████████  | 404/500 [02:07<00:27,  3.47it/s, loss=0.00128, lr=0.002]\nSteps:  81%|████████  | 405/500 [02:07<00:27,  3.47it/s, loss=0.00128, lr=0.002]\na rendering of a <s1><s2>\nSteps:  81%|████████  | 405/500 [02:07<00:27,  3.47it/s, loss=0.000457, lr=0.002]\nSteps:  81%|████████  | 406/500 [02:07<00:29,  3.16it/s, loss=0.000457, lr=0.002]\na photo of my <s1><s2>\nSteps:  81%|████████  | 406/500 [02:07<00:29,  3.16it/s, loss=0.00127, lr=0.002] \nSteps:  81%|████████▏ | 407/500 [02:08<00:27,  3.34it/s, loss=0.00127, lr=0.002]\na good photo of a <s1><s2>\nSteps:  81%|████████▏ | 407/500 [02:08<00:27,  3.34it/s, loss=0.00103, lr=0.002]\nSteps:  82%|████████▏ | 408/500 [02:08<00:26,  3.53it/s, loss=0.00103, lr=0.002]\na photo of a small <s1><s2>\ntensor([[0.4052],\n[0.4202]], device='cuda:0')\nCurrent Norm : tensor([0.4042, 0.4162], device='cuda:0')\nSteps:  82%|████████▏ | 408/500 [02:08<00:26,  3.53it/s, loss=0.0124, lr=0.002] \nSteps:  82%|████████▏ | 409/500 [02:08<00:29,  3.13it/s, loss=0.0124, lr=0.002]\na good photo of a <s1><s2>\nSteps:  82%|████████▏ | 409/500 [02:08<00:29,  3.13it/s, loss=0.000434, lr=0.002]\nSteps:  82%|████████▏ | 410/500 [02:08<00:28,  3.18it/s, loss=0.000434, lr=0.002]\na photo of the weird <s1><s2>\nSteps:  82%|████████▏ | 410/500 [02:08<00:28,  3.18it/s, loss=0.00527, lr=0.002] \nSteps:  82%|████████▏ | 411/500 [02:09<00:26,  3.41it/s, loss=0.00527, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  82%|████████▏ | 411/500 [02:09<00:26,  3.41it/s, loss=0.0125, lr=0.002] \nSteps:  82%|████████▏ | 412/500 [02:09<00:24,  3.55it/s, loss=0.0125, lr=0.002]\na photo of a cool <s1><s2>\ntensor([[0.4055],\n[0.4207]], device='cuda:0')\nCurrent Norm : tensor([0.4044, 0.4166], device='cuda:0')\nSteps:  82%|████████▏ | 412/500 [02:09<00:24,  3.55it/s, loss=0.000284, lr=0.002]\nSteps:  83%|████████▎ | 413/500 [02:09<00:27,  3.20it/s, loss=0.000284, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  83%|████████▎ | 413/500 [02:09<00:27,  3.20it/s, loss=0.00788, lr=0.002] \nSteps:  83%|████████▎ | 414/500 [02:10<00:28,  3.00it/s, loss=0.00788, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  83%|████████▎ | 414/500 [02:10<00:28,  3.00it/s, loss=0.000378, lr=0.002]\nSteps:  83%|████████▎ | 415/500 [02:10<00:26,  3.26it/s, loss=0.000378, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  83%|████████▎ | 415/500 [02:10<00:26,  3.26it/s, loss=0.000508, lr=0.002]\nSteps:  83%|████████▎ | 416/500 [02:10<00:25,  3.26it/s, loss=0.000508, lr=0.002]\na photo of a small <s1><s2>\ntensor([[0.4056],\n[0.4212]], device='cuda:0')\nCurrent Norm : tensor([0.4045, 0.4170], device='cuda:0')\nSteps:  83%|████████▎ | 416/500 [02:10<00:25,  3.26it/s, loss=0.00534, lr=0.002] \nSteps:  83%|████████▎ | 417/500 [02:11<00:24,  3.39it/s, loss=0.00534, lr=0.002]\na photo of a small <s1><s2>\nSteps:  83%|████████▎ | 417/500 [02:11<00:24,  3.39it/s, loss=0.0287, lr=0.002] \nSteps:  84%|████████▎ | 418/500 [02:11<00:23,  3.50it/s, loss=0.0287, lr=0.002]\na good photo of the <s1><s2>\nSteps:  84%|████████▎ | 418/500 [02:11<00:23,  3.50it/s, loss=0.000909, lr=0.002]\nSteps:  84%|████████▍ | 419/500 [02:11<00:26,  3.07it/s, loss=0.000909, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  84%|████████▍ | 419/500 [02:11<00:26,  3.07it/s, loss=0.0042, lr=0.002]  \nSteps:  84%|████████▍ | 420/500 [02:12<00:24,  3.27it/s, loss=0.0042, lr=0.002]\na photo of a nice <s1><s2>\ntensor([[0.4057],\n[0.4215]], device='cuda:0')\nCurrent Norm : tensor([0.4046, 0.4172], device='cuda:0')\nSteps:  84%|████████▍ | 420/500 [02:12<00:24,  3.27it/s, loss=0.236, lr=0.002] \nSteps:  84%|████████▍ | 421/500 [02:12<00:26,  2.93it/s, loss=0.236, lr=0.002]\na rendering of a <s1><s2>\nSteps:  84%|████████▍ | 421/500 [02:12<00:26,  2.93it/s, loss=0.00945, lr=0.002]\nSteps:  84%|████████▍ | 422/500 [02:12<00:25,  3.09it/s, loss=0.00945, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  84%|████████▍ | 422/500 [02:12<00:25,  3.09it/s, loss=0.000273, lr=0.002]\nSteps:  85%|████████▍ | 423/500 [02:13<00:24,  3.18it/s, loss=0.000273, lr=0.002]\na good photo of the <s1><s2>\nSteps:  85%|████████▍ | 423/500 [02:13<00:24,  3.18it/s, loss=0.0115, lr=0.002]  \nSteps:  85%|████████▍ | 424/500 [02:13<00:25,  2.95it/s, loss=0.0115, lr=0.002]\na dark photo of the <s1><s2>\ntensor([[0.4058],\n[0.4217]], device='cuda:0')\nCurrent Norm : tensor([0.4046, 0.4173], device='cuda:0')\nSteps:  85%|████████▍ | 424/500 [02:13<00:25,  2.95it/s, loss=0.00332, lr=0.002]\nSteps:  85%|████████▌ | 425/500 [02:13<00:24,  3.11it/s, loss=0.00332, lr=0.002]\na photo of the small <s1><s2>\nSteps:  85%|████████▌ | 425/500 [02:13<00:24,  3.11it/s, loss=0.0154, lr=0.002] \nSteps:  85%|████████▌ | 426/500 [02:13<00:22,  3.33it/s, loss=0.0154, lr=0.002]\na photo of the large <s1><s2>\nSteps:  85%|████████▌ | 426/500 [02:13<00:22,  3.33it/s, loss=0.00687, lr=0.002]\nSteps:  85%|████████▌ | 427/500 [02:14<00:21,  3.44it/s, loss=0.00687, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  85%|████████▌ | 427/500 [02:14<00:21,  3.44it/s, loss=0.00678, lr=0.002]\nSteps:  86%|████████▌ | 428/500 [02:14<00:22,  3.16it/s, loss=0.00678, lr=0.002]\na photo of the clean <s1><s2>\ntensor([[0.4058],\n[0.4216]], device='cuda:0')\nCurrent Norm : tensor([0.4046, 0.4173], device='cuda:0')\nSteps:  86%|████████▌ | 428/500 [02:14<00:22,  3.16it/s, loss=0.000409, lr=0.002]\nSteps:  86%|████████▌ | 429/500 [02:14<00:21,  3.35it/s, loss=0.000409, lr=0.002]\na photo of the cool <s1><s2>\nSteps:  86%|████████▌ | 429/500 [02:14<00:21,  3.35it/s, loss=0.015, lr=0.002]   \nSteps:  86%|████████▌ | 430/500 [02:15<00:19,  3.51it/s, loss=0.015, lr=0.002]\na photo of a clean <s1><s2>\nSteps:  86%|████████▌ | 430/500 [02:15<00:19,  3.51it/s, loss=0.000181, lr=0.002]\nSteps:  86%|████████▌ | 431/500 [02:15<00:19,  3.46it/s, loss=0.000181, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  86%|████████▌ | 431/500 [02:15<00:19,  3.46it/s, loss=0.00528, lr=0.002] \nSteps:  86%|████████▋ | 432/500 [02:15<00:18,  3.62it/s, loss=0.00528, lr=0.002]\na photo of one <s1><s2>\ntensor([[0.4057],\n[0.4215]], device='cuda:0')\nCurrent Norm : tensor([0.4046, 0.4172], device='cuda:0')\nSteps:  86%|████████▋ | 432/500 [02:15<00:18,  3.62it/s, loss=0.042, lr=0.002]  \nSteps:  87%|████████▋ | 433/500 [02:15<00:18,  3.65it/s, loss=0.042, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  87%|████████▋ | 433/500 [02:15<00:18,  3.65it/s, loss=0.00523, lr=0.002]\nSteps:  87%|████████▋ | 434/500 [02:16<00:20,  3.18it/s, loss=0.00523, lr=0.002]\na good photo of the <s1><s2>\nSteps:  87%|████████▋ | 434/500 [02:16<00:20,  3.18it/s, loss=0.0014, lr=0.002] \nSteps:  87%|████████▋ | 435/500 [02:16<00:20,  3.25it/s, loss=0.0014, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  87%|████████▋ | 435/500 [02:16<00:20,  3.25it/s, loss=0.00769, lr=0.002]\nSteps:  87%|████████▋ | 436/500 [02:16<00:18,  3.38it/s, loss=0.00769, lr=0.002]\na cropped photo of the <s1><s2>\ntensor([[0.4057],\n[0.4215]], device='cuda:0')\nCurrent Norm : tensor([0.4046, 0.4172], device='cuda:0')\nSteps:  87%|████████▋ | 436/500 [02:16<00:18,  3.38it/s, loss=0.00411, lr=0.002]\nSteps:  87%|████████▋ | 437/500 [02:17<00:18,  3.47it/s, loss=0.00411, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  87%|████████▋ | 437/500 [02:17<00:18,  3.47it/s, loss=0.000765, lr=0.002]\nSteps:  88%|████████▊ | 438/500 [02:17<00:20,  3.02it/s, loss=0.000765, lr=0.002]\na photo of a small <s1><s2>\nSteps:  88%|████████▊ | 438/500 [02:17<00:20,  3.02it/s, loss=0.000131, lr=0.002]\nSteps:  88%|████████▊ | 439/500 [02:17<00:18,  3.23it/s, loss=0.000131, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  88%|████████▊ | 439/500 [02:17<00:18,  3.23it/s, loss=0.0151, lr=0.002]  \nSteps:  88%|████████▊ | 440/500 [02:18<00:17,  3.37it/s, loss=0.0151, lr=0.002]\na photo of the weird <s1><s2>\ntensor([[0.4057],\n[0.4213]], device='cuda:0')\nCurrent Norm : tensor([0.4046, 0.4170], device='cuda:0')\nSteps:  88%|████████▊ | 440/500 [02:18<00:17,  3.37it/s, loss=0.0165, lr=0.002]\nSteps:  88%|████████▊ | 441/500 [02:18<00:19,  2.99it/s, loss=0.0165, lr=0.002]\na photo of my <s1><s2>\nSteps:  88%|████████▊ | 441/500 [02:18<00:19,  2.99it/s, loss=0.000117, lr=0.002]\nSteps:  88%|████████▊ | 442/500 [02:18<00:18,  3.21it/s, loss=0.000117, lr=0.002]\na rendering of a <s1><s2>\nSteps:  88%|████████▊ | 442/500 [02:18<00:18,  3.21it/s, loss=0.0148, lr=0.002]  \nSteps:  89%|████████▊ | 443/500 [02:19<00:16,  3.37it/s, loss=0.0148, lr=0.002]\na rendition of a <s1><s2>\nSteps:  89%|████████▊ | 443/500 [02:19<00:16,  3.37it/s, loss=0.00175, lr=0.002]\nSteps:  89%|████████▉ | 444/500 [02:19<00:18,  3.08it/s, loss=0.00175, lr=0.002]\na photo of a clean <s1><s2>\ntensor([[0.4056],\n[0.4213]], device='cuda:0')\nCurrent Norm : tensor([0.4044, 0.4170], device='cuda:0')\nSteps:  89%|████████▉ | 444/500 [02:19<00:18,  3.08it/s, loss=0.000158, lr=0.002]\nSteps:  89%|████████▉ | 445/500 [02:19<00:17,  3.22it/s, loss=0.000158, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  89%|████████▉ | 445/500 [02:19<00:17,  3.22it/s, loss=0.0253, lr=0.002]  \nSteps:  89%|████████▉ | 446/500 [02:20<00:16,  3.26it/s, loss=0.0253, lr=0.002]\na photo of a <s1><s2>\nSteps:  89%|████████▉ | 446/500 [02:20<00:16,  3.26it/s, loss=0.00205, lr=0.002]\nSteps:  89%|████████▉ | 447/500 [02:20<00:15,  3.38it/s, loss=0.00205, lr=0.002]\na photo of the small <s1><s2>\nSteps:  89%|████████▉ | 447/500 [02:20<00:15,  3.38it/s, loss=0.062, lr=0.002]  \nSteps:  90%|████████▉ | 448/500 [02:20<00:17,  2.95it/s, loss=0.062, lr=0.002]\na photo of the large <s1><s2>\ntensor([[0.4054],\n[0.4213]], device='cuda:0')\nCurrent Norm : tensor([0.4044, 0.4170], device='cuda:0')\nSteps:  90%|████████▉ | 448/500 [02:20<00:17,  2.95it/s, loss=0.00169, lr=0.002]\nSteps:  90%|████████▉ | 449/500 [02:20<00:16,  3.13it/s, loss=0.00169, lr=0.002]\na photo of one <s1><s2>\nSteps:  90%|████████▉ | 449/500 [02:20<00:16,  3.13it/s, loss=0.0322, lr=0.002] \nSteps:  90%|█████████ | 450/500 [02:21<00:15,  3.27it/s, loss=0.0322, lr=0.002]\na dark photo of the <s1><s2>\nSteps:  90%|█████████ | 450/500 [02:21<00:15,  3.27it/s, loss=0.00691, lr=0.002]\nSteps:  90%|█████████ | 451/500 [02:21<00:16,  2.90it/s, loss=0.00691, lr=0.002]\na photo of the <s1><s2>\nSteps:  90%|█████████ | 451/500 [02:21<00:16,  2.90it/s, loss=0.000433, lr=0.002]\nSteps:  90%|█████████ | 452/500 [02:22<00:17,  2.75it/s, loss=0.000433, lr=0.002]\na photo of the nice <s1><s2>\ntensor([[0.4054],\n[0.4212]], device='cuda:0')\nCurrent Norm : tensor([0.4043, 0.4170], device='cuda:0')\nSteps:  90%|█████████ | 452/500 [02:22<00:17,  2.75it/s, loss=0.00901, lr=0.002] \nSteps:  91%|█████████ | 453/500 [02:22<00:15,  3.03it/s, loss=0.00901, lr=0.002]\na bright photo of the <s1><s2>\nSteps:  91%|█████████ | 453/500 [02:22<00:15,  3.03it/s, loss=0.0388, lr=0.002] \nSteps:  91%|█████████ | 454/500 [02:22<00:14,  3.27it/s, loss=0.0388, lr=0.002]\na rendition of a <s1><s2>\nSteps:  91%|█████████ | 454/500 [02:22<00:14,  3.27it/s, loss=0.0913, lr=0.002]\nSteps:  91%|█████████ | 455/500 [02:22<00:12,  3.48it/s, loss=0.0913, lr=0.002]\na cropped photo of the <s1><s2>\nSteps:  91%|█████████ | 455/500 [02:22<00:12,  3.48it/s, loss=0.0244, lr=0.002]\nSteps:  91%|█████████ | 456/500 [02:23<00:14,  3.05it/s, loss=0.0244, lr=0.002]\na photo of the <s1><s2>\ntensor([[0.4054],\n[0.4211]], device='cuda:0')\nCurrent Norm : tensor([0.4043, 0.4169], device='cuda:0')\nSteps:  91%|█████████ | 456/500 [02:23<00:14,  3.05it/s, loss=0.0045, lr=0.002]\nSteps:  91%|█████████▏| 457/500 [02:23<00:13,  3.24it/s, loss=0.0045, lr=0.002]\na rendering of a <s1><s2>\nSteps:  91%|█████████▏| 457/500 [02:23<00:13,  3.24it/s, loss=0.00231, lr=0.002]\nSteps:  92%|█████████▏| 458/500 [02:23<00:12,  3.45it/s, loss=0.00231, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:  92%|█████████▏| 458/500 [02:23<00:12,  3.45it/s, loss=0.0285, lr=0.002] \nSteps:  92%|█████████▏| 459/500 [02:24<00:11,  3.57it/s, loss=0.0285, lr=0.002]\na cropped photo of a <s1><s2>\nSteps:  92%|█████████▏| 459/500 [02:24<00:11,  3.57it/s, loss=0.00767, lr=0.002]\nSteps:  92%|█████████▏| 460/500 [02:24<00:12,  3.18it/s, loss=0.00767, lr=0.002]\na close-up photo of the <s1><s2>\ntensor([[0.4056],\n[0.4210]], device='cuda:0')\nCurrent Norm : tensor([0.4044, 0.4168], device='cuda:0')\nSteps:  92%|█████████▏| 460/500 [02:24<00:12,  3.18it/s, loss=0.00317, lr=0.002]\nSteps:  92%|█████████▏| 461/500 [02:24<00:12,  3.17it/s, loss=0.00317, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  92%|█████████▏| 461/500 [02:24<00:12,  3.17it/s, loss=0.000814, lr=0.002]\nSteps:  92%|█████████▏| 462/500 [02:25<00:11,  3.34it/s, loss=0.000814, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  92%|█████████▏| 462/500 [02:25<00:11,  3.34it/s, loss=0.0019, lr=0.002]  \nSteps:  93%|█████████▎| 463/500 [02:25<00:10,  3.44it/s, loss=0.0019, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  93%|█████████▎| 463/500 [02:25<00:10,  3.44it/s, loss=0.0399, lr=0.002]\nSteps:  93%|█████████▎| 464/500 [02:25<00:11,  3.15it/s, loss=0.0399, lr=0.002]\na photo of the small <s1><s2>\ntensor([[0.4058],\n[0.4210]], device='cuda:0')\nCurrent Norm : tensor([0.4047, 0.4168], device='cuda:0')\nSteps:  93%|█████████▎| 464/500 [02:25<00:11,  3.15it/s, loss=0.00133, lr=0.002]\nSteps:  93%|█████████▎| 465/500 [02:25<00:10,  3.32it/s, loss=0.00133, lr=0.002]\na dark photo of the <s1><s2>\nSteps:  93%|█████████▎| 465/500 [02:25<00:10,  3.32it/s, loss=0.00363, lr=0.002]\nSteps:  93%|█████████▎| 466/500 [02:26<00:09,  3.45it/s, loss=0.00363, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  93%|█████████▎| 466/500 [02:26<00:09,  3.45it/s, loss=0.00189, lr=0.002]\nSteps:  93%|█████████▎| 467/500 [02:26<00:09,  3.58it/s, loss=0.00189, lr=0.002]\na photo of the small <s1><s2>\nSteps:  93%|█████████▎| 467/500 [02:26<00:09,  3.58it/s, loss=0.0287, lr=0.002] \nSteps:  94%|█████████▎| 468/500 [02:26<00:10,  3.16it/s, loss=0.0287, lr=0.002]\na photo of the nice <s1><s2>\ntensor([[0.4059],\n[0.4208]], device='cuda:0')\nCurrent Norm : tensor([0.4047, 0.4167], device='cuda:0')\nSteps:  94%|█████████▎| 468/500 [02:26<00:10,  3.16it/s, loss=0.00126, lr=0.002]\nSteps:  94%|█████████▍| 469/500 [02:27<00:09,  3.20it/s, loss=0.00126, lr=0.002]\na rendition of a <s1><s2>\nSteps:  94%|█████████▍| 469/500 [02:27<00:09,  3.20it/s, loss=0.0092, lr=0.002] \nSteps:  94%|█████████▍| 470/500 [02:27<00:10,  2.90it/s, loss=0.0092, lr=0.002]\na close-up photo of the <s1><s2>\nSteps:  94%|█████████▍| 470/500 [02:27<00:10,  2.90it/s, loss=0.000876, lr=0.002]\nSteps:  94%|█████████▍| 471/500 [02:27<00:09,  3.14it/s, loss=0.000876, lr=0.002]\na rendition of the <s1><s2>\nSteps:  94%|█████████▍| 471/500 [02:27<00:09,  3.14it/s, loss=0.000824, lr=0.002]\nSteps:  94%|█████████▍| 472/500 [02:28<00:08,  3.24it/s, loss=0.000824, lr=0.002]\na photo of a dirty <s1><s2>\ntensor([[0.4059],\n[0.4207]], device='cuda:0')\nCurrent Norm : tensor([0.4047, 0.4165], device='cuda:0')\nSteps:  94%|█████████▍| 472/500 [02:28<00:08,  3.24it/s, loss=0.00901, lr=0.002] \nSteps:  95%|█████████▍| 473/500 [02:28<00:07,  3.42it/s, loss=0.00901, lr=0.002]\na photo of my <s1><s2>\nSteps:  95%|█████████▍| 473/500 [02:28<00:07,  3.42it/s, loss=0.0135, lr=0.002] \nSteps:  95%|█████████▍| 474/500 [02:28<00:08,  3.11it/s, loss=0.0135, lr=0.002]\na photo of the weird <s1><s2>\nSteps:  95%|█████████▍| 474/500 [02:28<00:08,  3.11it/s, loss=0.00836, lr=0.002]\nSteps:  95%|█████████▌| 475/500 [02:29<00:07,  3.29it/s, loss=0.00836, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  95%|█████████▌| 475/500 [02:29<00:07,  3.29it/s, loss=0.00163, lr=0.002]\nSteps:  95%|█████████▌| 476/500 [02:29<00:06,  3.44it/s, loss=0.00163, lr=0.002]\na photo of the weird <s1><s2>\ntensor([[0.4059],\n[0.4205]], device='cuda:0')\nCurrent Norm : tensor([0.4047, 0.4164], device='cuda:0')\nSteps:  95%|█████████▌| 476/500 [02:29<00:06,  3.44it/s, loss=0.00151, lr=0.002]\nSteps:  95%|█████████▌| 477/500 [02:29<00:07,  3.07it/s, loss=0.00151, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  95%|█████████▌| 477/500 [02:29<00:07,  3.07it/s, loss=9.83e-5, lr=0.002]\nSteps:  96%|█████████▌| 478/500 [02:29<00:06,  3.28it/s, loss=9.83e-5, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  96%|█████████▌| 478/500 [02:29<00:06,  3.28it/s, loss=0.0446, lr=0.002] \nSteps:  96%|█████████▌| 479/500 [02:30<00:06,  3.44it/s, loss=0.0446, lr=0.002]\na photo of the <s1><s2>\nSteps:  96%|█████████▌| 479/500 [02:30<00:06,  3.44it/s, loss=0.0121, lr=0.002]\nSteps:  96%|█████████▌| 480/500 [02:30<00:05,  3.56it/s, loss=0.0121, lr=0.002]\na cropped photo of the <s1><s2>\ntensor([[0.4058],\n[0.4202]], device='cuda:0')\nCurrent Norm : tensor([0.4046, 0.4161], device='cuda:0')\nSteps:  96%|█████████▌| 480/500 [02:30<00:05,  3.56it/s, loss=0.000609, lr=0.002]\nSteps:  96%|█████████▌| 481/500 [02:30<00:05,  3.44it/s, loss=0.000609, lr=0.002]\nthe photo of a <s1><s2>\nSteps:  96%|█████████▌| 481/500 [02:30<00:05,  3.44it/s, loss=0.00116, lr=0.002] \nSteps:  96%|█████████▋| 482/500 [02:31<00:05,  3.56it/s, loss=0.00116, lr=0.002]\na photo of the clean <s1><s2>\nSteps:  96%|█████████▋| 482/500 [02:31<00:05,  3.56it/s, loss=0.00129, lr=0.002]\nSteps:  97%|█████████▋| 483/500 [02:31<00:05,  3.12it/s, loss=0.00129, lr=0.002]\na photo of the nice <s1><s2>\nSteps:  97%|█████████▋| 483/500 [02:31<00:05,  3.12it/s, loss=0.000587, lr=0.002]\nSteps:  97%|█████████▋| 484/500 [02:31<00:04,  3.30it/s, loss=0.000587, lr=0.002]\na photo of a small <s1><s2>\ntensor([[0.4057],\n[0.4199]], device='cuda:0')\nCurrent Norm : tensor([0.4046, 0.4159], device='cuda:0')\nSteps:  97%|█████████▋| 484/500 [02:31<00:04,  3.30it/s, loss=0.0274, lr=0.002]  \nSteps:  97%|█████████▋| 485/500 [02:31<00:04,  3.45it/s, loss=0.0274, lr=0.002]\na photo of a clean <s1><s2>\nSteps:  97%|█████████▋| 485/500 [02:31<00:04,  3.45it/s, loss=0.00014, lr=0.002]\nSteps:  97%|█████████▋| 486/500 [02:32<00:04,  3.47it/s, loss=0.00014, lr=0.002]\na photo of the cool <s1><s2>\nSteps:  97%|█████████▋| 486/500 [02:32<00:04,  3.47it/s, loss=0.00086, lr=0.002]\nSteps:  97%|█████████▋| 487/500 [02:32<00:03,  3.64it/s, loss=0.00086, lr=0.002]\na photo of my <s1><s2>\nSteps:  97%|█████████▋| 487/500 [02:32<00:03,  3.64it/s, loss=0.000407, lr=0.002]\nSteps:  98%|█████████▊| 488/500 [02:32<00:03,  3.06it/s, loss=0.000407, lr=0.002]\na rendering of a <s1><s2>\ntensor([[0.4057],\n[0.4196]], device='cuda:0')\nCurrent Norm : tensor([0.4046, 0.4157], device='cuda:0')\nSteps:  98%|█████████▊| 488/500 [02:32<00:03,  3.06it/s, loss=0.000273, lr=0.002]\nSteps:  98%|█████████▊| 489/500 [02:33<00:03,  3.23it/s, loss=0.000273, lr=0.002]\na photo of a nice <s1><s2>\nSteps:  98%|█████████▊| 489/500 [02:33<00:03,  3.23it/s, loss=0.0553, lr=0.002]  \nSteps:  98%|█████████▊| 490/500 [02:33<00:03,  2.99it/s, loss=0.0553, lr=0.002]\na photo of my <s1><s2>\nSteps:  98%|█████████▊| 490/500 [02:33<00:03,  2.99it/s, loss=0.00172, lr=0.002]\nSteps:  98%|█████████▊| 491/500 [02:33<00:02,  3.16it/s, loss=0.00172, lr=0.002]\na photo of a small <s1><s2>\nSteps:  98%|█████████▊| 491/500 [02:33<00:02,  3.16it/s, loss=0.0108, lr=0.002] \nSteps:  98%|█████████▊| 492/500 [02:34<00:02,  3.36it/s, loss=0.0108, lr=0.002]\na photo of my <s1><s2>\ntensor([[0.4058],\n[0.4193]], device='cuda:0')\nCurrent Norm : tensor([0.4047, 0.4155], device='cuda:0')\nSteps:  98%|█████████▊| 492/500 [02:34<00:02,  3.36it/s, loss=0.000218, lr=0.002]\nSteps:  99%|█████████▊| 493/500 [02:34<00:02,  3.47it/s, loss=0.000218, lr=0.002]\na close-up photo of a <s1><s2>\nSteps:  99%|█████████▊| 493/500 [02:34<00:02,  3.47it/s, loss=0.0466, lr=0.002]  \nSteps:  99%|█████████▉| 494/500 [02:34<00:01,  3.46it/s, loss=0.0466, lr=0.002]\na good photo of a <s1><s2>\nSteps:  99%|█████████▉| 494/500 [02:34<00:01,  3.46it/s, loss=0.00361, lr=0.002]\nSteps:  99%|█████████▉| 495/500 [02:34<00:01,  3.57it/s, loss=0.00361, lr=0.002]\na photo of a small <s1><s2>\nSteps:  99%|█████████▉| 495/500 [02:34<00:01,  3.57it/s, loss=0.000233, lr=0.002]\nSteps:  99%|█████████▉| 496/500 [02:35<00:01,  3.10it/s, loss=0.000233, lr=0.002]\na close-up photo of a <s1><s2>\ntensor([[0.4061],\n[0.4191]], device='cuda:0')\nCurrent Norm : tensor([0.4048, 0.4153], device='cuda:0')\nSteps:  99%|█████████▉| 496/500 [02:35<00:01,  3.10it/s, loss=0.0089, lr=0.002]  \nSteps:  99%|█████████▉| 497/500 [02:35<00:01,  2.90it/s, loss=0.0089, lr=0.002]\na photo of a dirty <s1><s2>\nSteps:  99%|█████████▉| 497/500 [02:35<00:01,  2.90it/s, loss=0.00101, lr=0.002]\nSteps: 100%|█████████▉| 498/500 [02:36<00:00,  3.12it/s, loss=0.00101, lr=0.002]\na close-up photo of a <s1><s2>\nSteps: 100%|█████████▉| 498/500 [02:36<00:00,  3.12it/s, loss=0.00198, lr=0.002]\nSteps: 100%|█████████▉| 499/500 [02:36<00:00,  2.94it/s, loss=0.00198, lr=0.002]\na photo of a small <s1><s2>\nSteps: 100%|█████████▉| 499/500 [02:36<00:00,  2.94it/s, loss=0.000176, lr=0.002]\nSteps: 100%|██████████| 500/500 [02:36<00:00,  3.18it/s, loss=0.000176, lr=0.002]\nSteps: 100%|██████████| 500/500 [02:36<00:00,  3.18it/s, loss=0.000608, lr=0.002]\nSteps: 100%|██████████| 500/500 [02:36<00:00,  3.19it/s, loss=0.000608, lr=0.002]\nPTI : has 288 lora\nPTI : Before training:\n0%|          | 0/1000 [00:00<?, ?it/s]\na photo of a <s1><s2>\nSteps:   0%|          | 0/1000 [00:00<?, ?it/s]\nSteps:   0%|          | 1/1000 [00:00<09:57,  1.67it/s]\na good photo of the <s1><s2>\nSteps:   0%|          | 1/1000 [00:00<09:57,  1.67it/s, loss=0.0481, lr=0.0004]\nSteps:   0%|          | 2/1000 [00:01<09:57,  1.67it/s, loss=0.0481, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:   0%|          | 2/1000 [00:01<09:57,  1.67it/s, loss=0.00564, lr=0.0004]\nSteps:   0%|          | 3/1000 [00:01<09:46,  1.70it/s, loss=0.00564, lr=0.0004]\na photo of the <s1><s2>\nSteps:   0%|          | 3/1000 [00:01<09:46,  1.70it/s, loss=0.00188, lr=0.0004]\nSteps:   0%|          | 4/1000 [00:02<09:00,  1.84it/s, loss=0.00188, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:   0%|          | 4/1000 [00:02<09:00,  1.84it/s, loss=0.0175, lr=0.0004] \nSteps:   0%|          | 5/1000 [00:02<08:25,  1.97it/s, loss=0.0175, lr=0.0004]\na rendering of a <s1><s2>\nSteps:   0%|          | 5/1000 [00:02<08:25,  1.97it/s, loss=0.0152, lr=0.0004]\nSteps:   1%|          | 6/1000 [00:03<08:16,  2.00it/s, loss=0.0152, lr=0.0004]\na photo of the <s1><s2>\nSteps:   1%|          | 6/1000 [00:03<08:16,  2.00it/s, loss=0.00843, lr=0.0004]\nSteps:   1%|          | 7/1000 [00:03<08:10,  2.03it/s, loss=0.00843, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:   1%|          | 7/1000 [00:03<08:10,  2.03it/s, loss=0.0922, lr=0.0004] \nSteps:   1%|          | 8/1000 [00:04<08:49,  1.87it/s, loss=0.0922, lr=0.0004]\na photo of a small <s1><s2>\nSteps:   1%|          | 8/1000 [00:04<08:49,  1.87it/s, loss=0.0189, lr=0.0004]\nSteps:   1%|          | 9/1000 [00:04<08:32,  1.93it/s, loss=0.0189, lr=0.0004]\na photo of one <s1><s2>\nSteps:   1%|          | 9/1000 [00:04<08:32,  1.93it/s, loss=0.049, lr=0.0004] \nSteps:   1%|          | 10/1000 [00:05<08:29,  1.94it/s, loss=0.049, lr=0.0004]\na photo of a small <s1><s2>\nSteps:   1%|          | 10/1000 [00:05<08:29,  1.94it/s, loss=0.209, lr=0.0004]\nSteps:   1%|          | 11/1000 [00:05<08:22,  1.97it/s, loss=0.209, lr=0.0004]\na good photo of a <s1><s2>\nSteps:   1%|          | 11/1000 [00:05<08:22,  1.97it/s, loss=0.0099, lr=0.0004]\nSteps:   1%|          | 12/1000 [00:06<08:57,  1.84it/s, loss=0.0099, lr=0.0004]\na photo of the large <s1><s2>\nSteps:   1%|          | 12/1000 [00:06<08:57,  1.84it/s, loss=0.0164, lr=0.0004]\nSteps:   1%|▏         | 13/1000 [00:06<08:33,  1.92it/s, loss=0.0164, lr=0.0004]\na photo of a <s1><s2>\nSteps:   1%|▏         | 13/1000 [00:06<08:33,  1.92it/s, loss=0.0365, lr=0.0004]\nSteps:   1%|▏         | 14/1000 [00:07<08:30,  1.93it/s, loss=0.0365, lr=0.0004]\na good photo of a <s1><s2>\nSteps:   1%|▏         | 14/1000 [00:07<08:30,  1.93it/s, loss=0.0834, lr=0.0004]\nSteps:   2%|▏         | 15/1000 [00:07<08:39,  1.90it/s, loss=0.0834, lr=0.0004]\na photo of a <s1><s2>\nSteps:   2%|▏         | 15/1000 [00:07<08:39,  1.90it/s, loss=0.00617, lr=0.0004]\nSteps:   2%|▏         | 16/1000 [00:08<09:06,  1.80it/s, loss=0.00617, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:   2%|▏         | 16/1000 [00:08<09:06,  1.80it/s, loss=0.0076, lr=0.0004] \nSteps:   2%|▏         | 17/1000 [00:09<08:48,  1.86it/s, loss=0.0076, lr=0.0004]\na photo of the <s1><s2>\nSteps:   2%|▏         | 17/1000 [00:09<08:48,  1.86it/s, loss=0.0153, lr=0.0004]\nSteps:   2%|▏         | 18/1000 [00:09<08:39,  1.89it/s, loss=0.0153, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:   2%|▏         | 18/1000 [00:09<08:39,  1.89it/s, loss=0.19, lr=0.0004]  \nSteps:   2%|▏         | 19/1000 [00:10<08:31,  1.92it/s, loss=0.19, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:   2%|▏         | 19/1000 [00:10<08:31,  1.92it/s, loss=0.0649, lr=0.0004]\nSteps:   2%|▏         | 20/1000 [00:10<08:58,  1.82it/s, loss=0.0649, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:   2%|▏         | 20/1000 [00:10<08:58,  1.82it/s, loss=0.0248, lr=0.0004]\nSteps:   2%|▏         | 21/1000 [00:11<08:38,  1.89it/s, loss=0.0248, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:   2%|▏         | 21/1000 [00:11<08:38,  1.89it/s, loss=0.00457, lr=0.0004]\nSteps:   2%|▏         | 22/1000 [00:11<09:09,  1.78it/s, loss=0.00457, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:   2%|▏         | 22/1000 [00:11<09:09,  1.78it/s, loss=0.0114, lr=0.0004] \nSteps:   2%|▏         | 23/1000 [00:12<08:59,  1.81it/s, loss=0.0114, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:   2%|▏         | 23/1000 [00:12<08:59,  1.81it/s, loss=0.00292, lr=0.0004]\nSteps:   2%|▏         | 24/1000 [00:12<08:33,  1.90it/s, loss=0.00292, lr=0.0004]\na photo of a small <s1><s2>\nSteps:   2%|▏         | 24/1000 [00:12<08:33,  1.90it/s, loss=0.0108, lr=0.0004] \nSteps:   2%|▎         | 25/1000 [00:13<09:12,  1.76it/s, loss=0.0108, lr=0.0004]\na rendition of the <s1><s2>\nSteps:   2%|▎         | 25/1000 [00:13<09:12,  1.76it/s, loss=0.0393, lr=0.0004]\nSteps:   3%|▎         | 26/1000 [00:13<08:35,  1.89it/s, loss=0.0393, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:   3%|▎         | 26/1000 [00:13<08:35,  1.89it/s, loss=0.00347, lr=0.0004]\nSteps:   3%|▎         | 27/1000 [00:14<08:14,  1.97it/s, loss=0.00347, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:   3%|▎         | 27/1000 [00:14<08:14,  1.97it/s, loss=0.086, lr=0.0004]  \nSteps:   3%|▎         | 28/1000 [00:14<08:11,  1.98it/s, loss=0.086, lr=0.0004]\na rendition of the <s1><s2>\nSteps:   3%|▎         | 28/1000 [00:14<08:11,  1.98it/s, loss=0.0693, lr=0.0004]\nSteps:   3%|▎         | 29/1000 [00:15<09:08,  1.77it/s, loss=0.0693, lr=0.0004]\na photo of a <s1><s2>\nSteps:   3%|▎         | 29/1000 [00:15<09:08,  1.77it/s, loss=0.0239, lr=0.0004]\nSteps:   3%|▎         | 30/1000 [00:16<08:53,  1.82it/s, loss=0.0239, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:   3%|▎         | 30/1000 [00:16<08:53,  1.82it/s, loss=0.167, lr=0.0004] \nSteps:   3%|▎         | 31/1000 [00:16<08:33,  1.89it/s, loss=0.167, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:   3%|▎         | 31/1000 [00:16<08:33,  1.89it/s, loss=0.0402, lr=0.0004]\nSteps:   3%|▎         | 32/1000 [00:17<08:17,  1.95it/s, loss=0.0402, lr=0.0004]\na good photo of a <s1><s2>\nSteps:   3%|▎         | 32/1000 [00:17<08:17,  1.95it/s, loss=0.0129, lr=0.0004]\nSteps:   3%|▎         | 33/1000 [00:17<07:59,  2.02it/s, loss=0.0129, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:   3%|▎         | 33/1000 [00:17<07:59,  2.02it/s, loss=0.0135, lr=0.0004]\nSteps:   3%|▎         | 34/1000 [00:17<07:43,  2.08it/s, loss=0.0135, lr=0.0004]\na photo of a small <s1><s2>\nSteps:   3%|▎         | 34/1000 [00:17<07:43,  2.08it/s, loss=0.0429, lr=0.0004]\nSteps:   4%|▎         | 35/1000 [00:18<08:20,  1.93it/s, loss=0.0429, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:   4%|▎         | 35/1000 [00:18<08:20,  1.93it/s, loss=0.0114, lr=0.0004]\nSteps:   4%|▎         | 36/1000 [00:19<08:09,  1.97it/s, loss=0.0114, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:   4%|▎         | 36/1000 [00:19<08:09,  1.97it/s, loss=0.00923, lr=0.0004]\nSteps:   4%|▎         | 37/1000 [00:19<08:25,  1.90it/s, loss=0.00923, lr=0.0004]\na good photo of the <s1><s2>\nSteps:   4%|▎         | 37/1000 [00:19<08:25,  1.90it/s, loss=0.0014, lr=0.0004] \nSteps:   4%|▍         | 38/1000 [00:20<08:53,  1.80it/s, loss=0.0014, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:   4%|▍         | 38/1000 [00:20<08:53,  1.80it/s, loss=0.0108, lr=0.0004]\nSteps:   4%|▍         | 39/1000 [00:20<08:27,  1.89it/s, loss=0.0108, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:   4%|▍         | 39/1000 [00:20<08:27,  1.89it/s, loss=0.029, lr=0.0004] \nSteps:   4%|▍         | 40/1000 [00:21<08:16,  1.93it/s, loss=0.029, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:   4%|▍         | 40/1000 [00:21<08:16,  1.93it/s, loss=0.0184, lr=0.0004]\nSteps:   4%|▍         | 41/1000 [00:21<08:24,  1.90it/s, loss=0.0184, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:   4%|▍         | 41/1000 [00:21<08:24,  1.90it/s, loss=0.0593, lr=0.0004]\nSteps:   4%|▍         | 42/1000 [00:22<08:11,  1.95it/s, loss=0.0593, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:   4%|▍         | 42/1000 [00:22<08:11,  1.95it/s, loss=0.192, lr=0.0004] \nSteps:   4%|▍         | 43/1000 [00:22<07:56,  2.01it/s, loss=0.192, lr=0.0004]\na photo of a small <s1><s2>\nSteps:   4%|▍         | 43/1000 [00:22<07:56,  2.01it/s, loss=0.0242, lr=0.0004]\nSteps:   4%|▍         | 44/1000 [00:23<08:37,  1.85it/s, loss=0.0242, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:   4%|▍         | 44/1000 [00:23<08:37,  1.85it/s, loss=0.00639, lr=0.0004]\nSteps:   4%|▍         | 45/1000 [00:23<08:12,  1.94it/s, loss=0.00639, lr=0.0004]\na photo of one <s1><s2>\nSteps:   4%|▍         | 45/1000 [00:23<08:12,  1.94it/s, loss=0.0899, lr=0.0004] \nSteps:   5%|▍         | 46/1000 [00:24<08:09,  1.95it/s, loss=0.0899, lr=0.0004]\na rendition of the <s1><s2>\nSteps:   5%|▍         | 46/1000 [00:24<08:09,  1.95it/s, loss=0.00219, lr=0.0004]\nSteps:   5%|▍         | 47/1000 [00:24<07:54,  2.01it/s, loss=0.00219, lr=0.0004]\na photo of the <s1><s2>\nSteps:   5%|▍         | 47/1000 [00:24<07:54,  2.01it/s, loss=0.00525, lr=0.0004]\nSteps:   5%|▍         | 48/1000 [00:25<08:44,  1.82it/s, loss=0.00525, lr=0.0004]\na photo of my <s1><s2>\nSteps:   5%|▍         | 48/1000 [00:25<08:44,  1.82it/s, loss=0.0145, lr=0.0004] \nSteps:   5%|▍         | 49/1000 [00:25<08:25,  1.88it/s, loss=0.0145, lr=0.0004]\na photo of a <s1><s2>\nSteps:   5%|▍         | 49/1000 [00:25<08:25,  1.88it/s, loss=0.0618, lr=0.0004]\nSteps:   5%|▌         | 50/1000 [00:26<08:54,  1.78it/s, loss=0.0618, lr=0.0004]\na photo of the <s1><s2>\nSteps:   5%|▌         | 50/1000 [00:26<08:54,  1.78it/s, loss=0.0212, lr=0.0004]\nSteps:   5%|▌         | 51/1000 [00:27<08:42,  1.82it/s, loss=0.0212, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:   5%|▌         | 51/1000 [00:27<08:42,  1.82it/s, loss=0.00471, lr=0.0004]\nSteps:   5%|▌         | 52/1000 [00:27<08:29,  1.86it/s, loss=0.00471, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:   5%|▌         | 52/1000 [00:27<08:29,  1.86it/s, loss=0.0117, lr=0.0004] \nSteps:   5%|▌         | 53/1000 [00:28<08:08,  1.94it/s, loss=0.0117, lr=0.0004]\na photo of a <s1><s2>\nSteps:   5%|▌         | 53/1000 [00:28<08:08,  1.94it/s, loss=0.0102, lr=0.0004]\nSteps:   5%|▌         | 54/1000 [00:28<07:59,  1.97it/s, loss=0.0102, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:   5%|▌         | 54/1000 [00:28<07:59,  1.97it/s, loss=0.0361, lr=0.0004]\nSteps:   6%|▌         | 55/1000 [00:28<07:44,  2.03it/s, loss=0.0361, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:   6%|▌         | 55/1000 [00:28<07:44,  2.03it/s, loss=0.00915, lr=0.0004]\nSteps:   6%|▌         | 56/1000 [00:29<08:30,  1.85it/s, loss=0.00915, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:   6%|▌         | 56/1000 [00:29<08:30,  1.85it/s, loss=0.00705, lr=0.0004]\nSteps:   6%|▌         | 57/1000 [00:30<08:20,  1.88it/s, loss=0.00705, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:   6%|▌         | 57/1000 [00:30<08:20,  1.88it/s, loss=0.00867, lr=0.0004]\nSteps:   6%|▌         | 58/1000 [00:30<08:10,  1.92it/s, loss=0.00867, lr=0.0004]\na good photo of a <s1><s2>\nSteps:   6%|▌         | 58/1000 [00:30<08:10,  1.92it/s, loss=0.334, lr=0.0004]  \nSteps:   6%|▌         | 59/1000 [00:31<08:02,  1.95it/s, loss=0.334, lr=0.0004]\na photo of a small <s1><s2>\nSteps:   6%|▌         | 59/1000 [00:31<08:02,  1.95it/s, loss=0.0265, lr=0.0004]\nSteps:   6%|▌         | 60/1000 [00:31<07:44,  2.03it/s, loss=0.0265, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:   6%|▌         | 60/1000 [00:31<07:44,  2.03it/s, loss=0.0471, lr=0.0004]\nSteps:   6%|▌         | 61/1000 [00:32<08:29,  1.84it/s, loss=0.0471, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:   6%|▌         | 61/1000 [00:32<08:29,  1.84it/s, loss=0.0511, lr=0.0004]\nSteps:   6%|▌         | 62/1000 [00:32<08:27,  1.85it/s, loss=0.0511, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:   6%|▌         | 62/1000 [00:32<08:27,  1.85it/s, loss=0.0167, lr=0.0004]\nSteps:   6%|▋         | 63/1000 [00:33<09:02,  1.73it/s, loss=0.0167, lr=0.0004]\na rendition of a <s1><s2>\nSteps:   6%|▋         | 63/1000 [00:33<09:02,  1.73it/s, loss=0.0248, lr=0.0004]\nSteps:   6%|▋         | 64/1000 [00:33<08:27,  1.84it/s, loss=0.0248, lr=0.0004]\na rendition of the <s1><s2>\nSteps:   6%|▋         | 64/1000 [00:33<08:27,  1.84it/s, loss=0.0725, lr=0.0004]\nSteps:   6%|▋         | 65/1000 [00:34<07:56,  1.96it/s, loss=0.0725, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:   6%|▋         | 65/1000 [00:34<07:56,  1.96it/s, loss=0.0709, lr=0.0004]\nSteps:   7%|▋         | 66/1000 [00:34<07:51,  1.98it/s, loss=0.0709, lr=0.0004]\na photo of the large <s1><s2>\nSteps:   7%|▋         | 66/1000 [00:34<07:51,  1.98it/s, loss=0.00569, lr=0.0004]\nSteps:   7%|▋         | 67/1000 [00:35<08:29,  1.83it/s, loss=0.00569, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:   7%|▋         | 67/1000 [00:35<08:29,  1.83it/s, loss=0.0135, lr=0.0004] \nSteps:   7%|▋         | 68/1000 [00:35<08:21,  1.86it/s, loss=0.0135, lr=0.0004]\na photo of a small <s1><s2>\nSteps:   7%|▋         | 68/1000 [00:35<08:21,  1.86it/s, loss=0.0323, lr=0.0004]\nSteps:   7%|▋         | 69/1000 [00:36<08:00,  1.94it/s, loss=0.0323, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:   7%|▋         | 69/1000 [00:36<08:00,  1.94it/s, loss=0.104, lr=0.0004] \nSteps:   7%|▋         | 70/1000 [00:37<08:28,  1.83it/s, loss=0.104, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:   7%|▋         | 70/1000 [00:37<08:28,  1.83it/s, loss=0.029, lr=0.0004]\nSteps:   7%|▋         | 71/1000 [00:37<08:51,  1.75it/s, loss=0.029, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:   7%|▋         | 71/1000 [00:37<08:51,  1.75it/s, loss=0.00426, lr=0.0004]\nSteps:   7%|▋         | 72/1000 [00:38<09:05,  1.70it/s, loss=0.00426, lr=0.0004]\na rendering of a <s1><s2>\nSteps:   7%|▋         | 72/1000 [00:38<09:05,  1.70it/s, loss=0.0262, lr=0.0004] \nSteps:   7%|▋         | 73/1000 [00:38<08:27,  1.83it/s, loss=0.0262, lr=0.0004]\na photo of a small <s1><s2>\nSteps:   7%|▋         | 73/1000 [00:38<08:27,  1.83it/s, loss=0.136, lr=0.0004] \nSteps:   7%|▋         | 74/1000 [00:39<08:15,  1.87it/s, loss=0.136, lr=0.0004]\na photo of a small <s1><s2>\nSteps:   7%|▋         | 74/1000 [00:39<08:15,  1.87it/s, loss=0.0137, lr=0.0004]\nSteps:   8%|▊         | 75/1000 [00:39<07:54,  1.95it/s, loss=0.0137, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:   8%|▊         | 75/1000 [00:39<07:54,  1.95it/s, loss=0.0686, lr=0.0004]\nSteps:   8%|▊         | 76/1000 [00:40<07:45,  1.98it/s, loss=0.0686, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:   8%|▊         | 76/1000 [00:40<07:45,  1.98it/s, loss=0.00566, lr=0.0004]\nSteps:   8%|▊         | 77/1000 [00:40<07:31,  2.04it/s, loss=0.00566, lr=0.0004]\na good photo of a <s1><s2>\nSteps:   8%|▊         | 77/1000 [00:40<07:31,  2.04it/s, loss=0.308, lr=0.0004]  \nSteps:   8%|▊         | 78/1000 [00:41<07:25,  2.07it/s, loss=0.308, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:   8%|▊         | 78/1000 [00:41<07:25,  2.07it/s, loss=0.0281, lr=0.0004]\nSteps:   8%|▊         | 79/1000 [00:41<07:25,  2.07it/s, loss=0.0281, lr=0.0004]\na rendition of a <s1><s2>\nSteps:   8%|▊         | 79/1000 [00:41<07:25,  2.07it/s, loss=0.00753, lr=0.0004]\nSteps:   8%|▊         | 80/1000 [00:42<08:04,  1.90it/s, loss=0.00753, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:   8%|▊         | 80/1000 [00:42<08:04,  1.90it/s, loss=0.0104, lr=0.0004] \nSteps:   8%|▊         | 81/1000 [00:42<08:49,  1.74it/s, loss=0.0104, lr=0.0004]\na rendering of a <s1><s2>\nSteps:   8%|▊         | 81/1000 [00:42<08:49,  1.74it/s, loss=0.0205, lr=0.0004]\nSteps:   8%|▊         | 82/1000 [00:43<08:21,  1.83it/s, loss=0.0205, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:   8%|▊         | 82/1000 [00:43<08:21,  1.83it/s, loss=0.00649, lr=0.0004]\nSteps:   8%|▊         | 83/1000 [00:43<08:06,  1.88it/s, loss=0.00649, lr=0.0004]\na photo of a <s1><s2>\nSteps:   8%|▊         | 83/1000 [00:43<08:06,  1.88it/s, loss=0.012, lr=0.0004]  \nSteps:   8%|▊         | 84/1000 [00:44<07:48,  1.96it/s, loss=0.012, lr=0.0004]\na photo of a small <s1><s2>\nSteps:   8%|▊         | 84/1000 [00:44<07:48,  1.96it/s, loss=0.0324, lr=0.0004]\nSteps:   8%|▊         | 85/1000 [00:44<07:46,  1.96it/s, loss=0.0324, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:   8%|▊         | 85/1000 [00:44<07:46,  1.96it/s, loss=0.245, lr=0.0004] \nSteps:   9%|▊         | 86/1000 [00:45<08:11,  1.86it/s, loss=0.245, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:   9%|▊         | 86/1000 [00:45<08:11,  1.86it/s, loss=0.0105, lr=0.0004]\nSteps:   9%|▊         | 87/1000 [00:45<07:58,  1.91it/s, loss=0.0105, lr=0.0004]\na photo of my <s1><s2>\nSteps:   9%|▊         | 87/1000 [00:45<07:58,  1.91it/s, loss=0.00964, lr=0.0004]\nSteps:   9%|▉         | 88/1000 [00:46<07:47,  1.95it/s, loss=0.00964, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:   9%|▉         | 88/1000 [00:46<07:47,  1.95it/s, loss=0.00499, lr=0.0004]\nSteps:   9%|▉         | 89/1000 [00:46<07:54,  1.92it/s, loss=0.00499, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:   9%|▉         | 89/1000 [00:46<07:54,  1.92it/s, loss=0.0439, lr=0.0004] \nSteps:   9%|▉         | 90/1000 [00:47<07:39,  1.98it/s, loss=0.0439, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:   9%|▉         | 90/1000 [00:47<07:39,  1.98it/s, loss=0.0131, lr=0.0004]\nSteps:   9%|▉         | 91/1000 [00:48<08:26,  1.79it/s, loss=0.0131, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:   9%|▉         | 91/1000 [00:48<08:26,  1.79it/s, loss=0.00324, lr=0.0004]\nSteps:   9%|▉         | 92/1000 [00:48<08:09,  1.86it/s, loss=0.00324, lr=0.0004]\na photo of my <s1><s2>\nSteps:   9%|▉         | 92/1000 [00:48<08:09,  1.86it/s, loss=0.058, lr=0.0004]  \nSteps:   9%|▉         | 93/1000 [00:49<07:50,  1.93it/s, loss=0.058, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:   9%|▉         | 93/1000 [00:49<07:50,  1.93it/s, loss=0.0096, lr=0.0004]\nSteps:   9%|▉         | 94/1000 [00:49<07:40,  1.97it/s, loss=0.0096, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:   9%|▉         | 94/1000 [00:49<07:40,  1.97it/s, loss=0.0277, lr=0.0004]\nSteps:  10%|▉         | 95/1000 [00:50<07:41,  1.96it/s, loss=0.0277, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  10%|▉         | 95/1000 [00:50<07:41,  1.96it/s, loss=0.00519, lr=0.0004]\nSteps:  10%|▉         | 96/1000 [00:50<07:33,  1.99it/s, loss=0.00519, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  10%|▉         | 96/1000 [00:50<07:33,  1.99it/s, loss=0.0263, lr=0.0004] \nSteps:  10%|▉         | 97/1000 [00:51<08:24,  1.79it/s, loss=0.0263, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  10%|▉         | 97/1000 [00:51<08:24,  1.79it/s, loss=0.0199, lr=0.0004]\nSteps:  10%|▉         | 98/1000 [00:51<08:45,  1.71it/s, loss=0.0199, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  10%|▉         | 98/1000 [00:51<08:45,  1.71it/s, loss=0.00149, lr=0.0004]\nSteps:  10%|▉         | 99/1000 [00:52<09:31,  1.58it/s, loss=0.00149, lr=0.0004]\na photo of one <s1><s2>\nSteps:  10%|▉         | 99/1000 [00:52<09:31,  1.58it/s, loss=0.00139, lr=0.0004]\nSteps:  10%|█         | 100/1000 [00:53<09:02,  1.66it/s, loss=0.00139, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  10%|█         | 100/1000 [00:53<09:02,  1.66it/s, loss=0.0273, lr=0.0004] \nSteps:  10%|█         | 101/1000 [00:53<08:49,  1.70it/s, loss=0.0273, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  10%|█         | 101/1000 [00:53<08:49,  1.70it/s, loss=0.0436, lr=0.0004]\nSteps:  10%|█         | 102/1000 [00:54<08:42,  1.72it/s, loss=0.0436, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  10%|█         | 102/1000 [00:54<08:42,  1.72it/s, loss=0.00439, lr=0.0004]\nSteps:  10%|█         | 103/1000 [00:55<09:16,  1.61it/s, loss=0.00439, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  10%|█         | 103/1000 [00:55<09:16,  1.61it/s, loss=0.0184, lr=0.0004] \nSteps:  10%|█         | 104/1000 [00:55<08:47,  1.70it/s, loss=0.0184, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  10%|█         | 104/1000 [00:55<08:47,  1.70it/s, loss=0.0323, lr=0.0004]\nSteps:  10%|█         | 105/1000 [00:56<08:38,  1.73it/s, loss=0.0323, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  10%|█         | 105/1000 [00:56<08:38,  1.73it/s, loss=0.0654, lr=0.0004]\nSteps:  11%|█         | 106/1000 [00:56<08:37,  1.73it/s, loss=0.0654, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  11%|█         | 106/1000 [00:56<08:37,  1.73it/s, loss=0.0576, lr=0.0004]\nSteps:  11%|█         | 107/1000 [00:57<09:11,  1.62it/s, loss=0.0576, lr=0.0004]\na photo of a <s1><s2>\nSteps:  11%|█         | 107/1000 [00:57<09:11,  1.62it/s, loss=0.0299, lr=0.0004]\nSteps:  11%|█         | 108/1000 [00:58<09:23,  1.58it/s, loss=0.0299, lr=0.0004]\na photo of my <s1><s2>\nSteps:  11%|█         | 108/1000 [00:58<09:23,  1.58it/s, loss=0.011, lr=0.0004] \nSteps:  11%|█         | 109/1000 [00:58<08:56,  1.66it/s, loss=0.011, lr=0.0004]\na photo of the <s1><s2>\nSteps:  11%|█         | 109/1000 [00:58<08:56,  1.66it/s, loss=0.141, lr=0.0004]\nSteps:  11%|█         | 110/1000 [00:59<08:41,  1.71it/s, loss=0.141, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  11%|█         | 110/1000 [00:59<08:41,  1.71it/s, loss=0.0237, lr=0.0004]\nSteps:  11%|█         | 111/1000 [00:59<08:38,  1.72it/s, loss=0.0237, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  11%|█         | 111/1000 [00:59<08:38,  1.72it/s, loss=0.0767, lr=0.0004]\nSteps:  11%|█         | 112/1000 [01:00<08:11,  1.81it/s, loss=0.0767, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  11%|█         | 112/1000 [01:00<08:11,  1.81it/s, loss=0.0959, lr=0.0004]\nSteps:  11%|█▏        | 113/1000 [01:00<07:58,  1.85it/s, loss=0.0959, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  11%|█▏        | 113/1000 [01:00<07:58,  1.85it/s, loss=0.00687, lr=0.0004]\nSteps:  11%|█▏        | 114/1000 [01:01<07:50,  1.88it/s, loss=0.00687, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  11%|█▏        | 114/1000 [01:01<07:50,  1.88it/s, loss=0.0815, lr=0.0004] \nSteps:  12%|█▏        | 115/1000 [01:01<07:49,  1.89it/s, loss=0.0815, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  12%|█▏        | 115/1000 [01:01<07:49,  1.89it/s, loss=0.326, lr=0.0004] \nSteps:  12%|█▏        | 116/1000 [01:02<08:22,  1.76it/s, loss=0.326, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  12%|█▏        | 116/1000 [01:02<08:22,  1.76it/s, loss=0.00675, lr=0.0004]\nSteps:  12%|█▏        | 117/1000 [01:02<08:04,  1.82it/s, loss=0.00675, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  12%|█▏        | 117/1000 [01:02<08:04,  1.82it/s, loss=0.0518, lr=0.0004] \nSteps:  12%|█▏        | 118/1000 [01:03<07:53,  1.86it/s, loss=0.0518, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  12%|█▏        | 118/1000 [01:03<07:53,  1.86it/s, loss=0.00652, lr=0.0004]\nSteps:  12%|█▏        | 119/1000 [01:04<08:33,  1.72it/s, loss=0.00652, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  12%|█▏        | 119/1000 [01:04<08:33,  1.72it/s, loss=0.0101, lr=0.0004] \nSteps:  12%|█▏        | 120/1000 [01:04<08:12,  1.79it/s, loss=0.0101, lr=0.0004]\na photo of a <s1><s2>\nSteps:  12%|█▏        | 120/1000 [01:04<08:12,  1.79it/s, loss=0.00521, lr=0.0004]\nSteps:  12%|█▏        | 121/1000 [01:05<08:00,  1.83it/s, loss=0.00521, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  12%|█▏        | 121/1000 [01:05<08:00,  1.83it/s, loss=0.0142, lr=0.0004] \nSteps:  12%|█▏        | 122/1000 [01:05<08:20,  1.76it/s, loss=0.0142, lr=0.0004]\na photo of one <s1><s2>\nSteps:  12%|█▏        | 122/1000 [01:05<08:20,  1.76it/s, loss=0.0115, lr=0.0004]\nSteps:  12%|█▏        | 123/1000 [01:06<07:56,  1.84it/s, loss=0.0115, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  12%|█▏        | 123/1000 [01:06<07:56,  1.84it/s, loss=0.00388, lr=0.0004]\nSteps:  12%|█▏        | 124/1000 [01:06<07:54,  1.84it/s, loss=0.00388, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  12%|█▏        | 124/1000 [01:06<07:54,  1.84it/s, loss=0.00639, lr=0.0004]\nSteps:  12%|█▎        | 125/1000 [01:07<07:36,  1.92it/s, loss=0.00639, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  12%|█▎        | 125/1000 [01:07<07:36,  1.92it/s, loss=0.017, lr=0.0004]  \nSteps:  13%|█▎        | 126/1000 [01:07<08:10,  1.78it/s, loss=0.017, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  13%|█▎        | 126/1000 [01:07<08:10,  1.78it/s, loss=0.00575, lr=0.0004]\nSteps:  13%|█▎        | 127/1000 [01:08<07:57,  1.83it/s, loss=0.00575, lr=0.0004]\na photo of a <s1><s2>\nSteps:  13%|█▎        | 127/1000 [01:08<07:57,  1.83it/s, loss=0.0345, lr=0.0004] \nSteps:  13%|█▎        | 128/1000 [01:08<07:50,  1.85it/s, loss=0.0345, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  13%|█▎        | 128/1000 [01:08<07:50,  1.85it/s, loss=0.0489, lr=0.0004]\nSteps:  13%|█▎        | 129/1000 [01:09<08:20,  1.74it/s, loss=0.0489, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  13%|█▎        | 129/1000 [01:09<08:20,  1.74it/s, loss=0.0123, lr=0.0004]\nSteps:  13%|█▎        | 130/1000 [01:10<08:03,  1.80it/s, loss=0.0123, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  13%|█▎        | 130/1000 [01:10<08:03,  1.80it/s, loss=0.431, lr=0.0004] \nSteps:  13%|█▎        | 131/1000 [01:10<08:28,  1.71it/s, loss=0.431, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  13%|█▎        | 131/1000 [01:10<08:28,  1.71it/s, loss=0.00972, lr=0.0004]\nSteps:  13%|█▎        | 132/1000 [01:11<08:06,  1.79it/s, loss=0.00972, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  13%|█▎        | 132/1000 [01:11<08:06,  1.79it/s, loss=0.159, lr=0.0004]  \nSteps:  13%|█▎        | 133/1000 [01:11<07:49,  1.85it/s, loss=0.159, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  13%|█▎        | 133/1000 [01:11<07:49,  1.85it/s, loss=0.0449, lr=0.0004]\nSteps:  13%|█▎        | 134/1000 [01:12<08:13,  1.76it/s, loss=0.0449, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  13%|█▎        | 134/1000 [01:12<08:13,  1.76it/s, loss=0.0223, lr=0.0004]\nSteps:  14%|█▎        | 135/1000 [01:12<07:53,  1.82it/s, loss=0.0223, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  14%|█▎        | 135/1000 [01:12<07:53,  1.82it/s, loss=0.173, lr=0.0004] \nSteps:  14%|█▎        | 136/1000 [01:13<07:40,  1.87it/s, loss=0.173, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  14%|█▎        | 136/1000 [01:13<07:40,  1.87it/s, loss=0.0197, lr=0.0004]\nSteps:  14%|█▎        | 137/1000 [01:14<08:18,  1.73it/s, loss=0.0197, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  14%|█▎        | 137/1000 [01:14<08:18,  1.73it/s, loss=0.00363, lr=0.0004]\nSteps:  14%|█▍        | 138/1000 [01:14<08:01,  1.79it/s, loss=0.00363, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  14%|█▍        | 138/1000 [01:14<08:01,  1.79it/s, loss=0.0122, lr=0.0004] \nSteps:  14%|█▍        | 139/1000 [01:15<07:44,  1.85it/s, loss=0.0122, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  14%|█▍        | 139/1000 [01:15<07:44,  1.85it/s, loss=0.0173, lr=0.0004]\nSteps:  14%|█▍        | 140/1000 [01:15<07:32,  1.90it/s, loss=0.0173, lr=0.0004]\na photo of the <s1><s2>\nSteps:  14%|█▍        | 140/1000 [01:15<07:32,  1.90it/s, loss=0.0263, lr=0.0004]\nSteps:  14%|█▍        | 141/1000 [01:16<07:28,  1.91it/s, loss=0.0263, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  14%|█▍        | 141/1000 [01:16<07:28,  1.91it/s, loss=0.0813, lr=0.0004]\nSteps:  14%|█▍        | 142/1000 [01:16<07:53,  1.81it/s, loss=0.0813, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  14%|█▍        | 142/1000 [01:16<07:53,  1.81it/s, loss=0.0135, lr=0.0004]\nSteps:  14%|█▍        | 143/1000 [01:17<08:13,  1.74it/s, loss=0.0135, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  14%|█▍        | 143/1000 [01:17<08:13,  1.74it/s, loss=0.0146, lr=0.0004]\nSteps:  14%|█▍        | 144/1000 [01:17<07:45,  1.84it/s, loss=0.0146, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  14%|█▍        | 144/1000 [01:17<07:45,  1.84it/s, loss=0.459, lr=0.0004] \nSteps:  14%|█▍        | 145/1000 [01:18<07:27,  1.91it/s, loss=0.459, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  14%|█▍        | 145/1000 [01:18<07:27,  1.91it/s, loss=0.0446, lr=0.0004]\nSteps:  15%|█▍        | 146/1000 [01:18<07:20,  1.94it/s, loss=0.0446, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  15%|█▍        | 146/1000 [01:18<07:20,  1.94it/s, loss=0.00536, lr=0.0004]\nSteps:  15%|█▍        | 147/1000 [01:19<07:22,  1.93it/s, loss=0.00536, lr=0.0004]\na photo of one <s1><s2>\nSteps:  15%|█▍        | 147/1000 [01:19<07:22,  1.93it/s, loss=0.15, lr=0.0004]   \nSteps:  15%|█▍        | 148/1000 [01:19<07:13,  1.97it/s, loss=0.15, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  15%|█▍        | 148/1000 [01:19<07:13,  1.97it/s, loss=0.0297, lr=0.0004]\nSteps:  15%|█▍        | 149/1000 [01:20<07:14,  1.96it/s, loss=0.0297, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  15%|█▍        | 149/1000 [01:20<07:14,  1.96it/s, loss=0.0894, lr=0.0004]\nSteps:  15%|█▌        | 150/1000 [01:20<07:19,  1.93it/s, loss=0.0894, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  15%|█▌        | 150/1000 [01:20<07:19,  1.93it/s, loss=0.00859, lr=0.0004]\nSteps:  15%|█▌        | 151/1000 [01:21<07:16,  1.94it/s, loss=0.00859, lr=0.0004]\na photo of a <s1><s2>\nSteps:  15%|█▌        | 151/1000 [01:21<07:16,  1.94it/s, loss=0.0199, lr=0.0004] \nSteps:  15%|█▌        | 152/1000 [01:21<07:48,  1.81it/s, loss=0.0199, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  15%|█▌        | 152/1000 [01:21<07:48,  1.81it/s, loss=0.00174, lr=0.0004]\nSteps:  15%|█▌        | 153/1000 [01:22<08:13,  1.72it/s, loss=0.00174, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  15%|█▌        | 153/1000 [01:22<08:13,  1.72it/s, loss=0.00208, lr=0.0004]\nSteps:  15%|█▌        | 154/1000 [01:23<07:51,  1.80it/s, loss=0.00208, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  15%|█▌        | 154/1000 [01:23<07:51,  1.80it/s, loss=0.00658, lr=0.0004]\nSteps:  16%|█▌        | 155/1000 [01:23<07:41,  1.83it/s, loss=0.00658, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  16%|█▌        | 155/1000 [01:23<07:41,  1.83it/s, loss=0.0325, lr=0.0004] \nSteps:  16%|█▌        | 156/1000 [01:24<08:19,  1.69it/s, loss=0.0325, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  16%|█▌        | 156/1000 [01:24<08:19,  1.69it/s, loss=0.00203, lr=0.0004]\nSteps:  16%|█▌        | 157/1000 [01:24<07:46,  1.81it/s, loss=0.00203, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  16%|█▌        | 157/1000 [01:24<07:46,  1.81it/s, loss=0.0106, lr=0.0004] \nSteps:  16%|█▌        | 158/1000 [01:25<07:35,  1.85it/s, loss=0.0106, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  16%|█▌        | 158/1000 [01:25<07:35,  1.85it/s, loss=0.101, lr=0.0004] \nSteps:  16%|█▌        | 159/1000 [01:26<08:08,  1.72it/s, loss=0.101, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  16%|█▌        | 159/1000 [01:26<08:08,  1.72it/s, loss=0.00352, lr=0.0004]\nSteps:  16%|█▌        | 160/1000 [01:26<07:42,  1.82it/s, loss=0.00352, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  16%|█▌        | 160/1000 [01:26<07:42,  1.82it/s, loss=0.01, lr=0.0004]   \nSteps:  16%|█▌        | 161/1000 [01:26<07:26,  1.88it/s, loss=0.01, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  16%|█▌        | 161/1000 [01:26<07:26,  1.88it/s, loss=0.0131, lr=0.0004]\nSteps:  16%|█▌        | 162/1000 [01:27<07:55,  1.76it/s, loss=0.0131, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  16%|█▌        | 162/1000 [01:27<07:55,  1.76it/s, loss=0.0195, lr=0.0004]\nSteps:  16%|█▋        | 163/1000 [01:28<07:32,  1.85it/s, loss=0.0195, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  16%|█▋        | 163/1000 [01:28<07:32,  1.85it/s, loss=0.157, lr=0.0004] \nSteps:  16%|█▋        | 164/1000 [01:28<07:55,  1.76it/s, loss=0.157, lr=0.0004]\na photo of the <s1><s2>\nSteps:  16%|█▋        | 164/1000 [01:28<07:55,  1.76it/s, loss=0.00936, lr=0.0004]\nSteps:  16%|█▋        | 165/1000 [01:29<07:36,  1.83it/s, loss=0.00936, lr=0.0004]\na photo of one <s1><s2>\nSteps:  16%|█▋        | 165/1000 [01:29<07:36,  1.83it/s, loss=0.0171, lr=0.0004] \nSteps:  17%|█▋        | 166/1000 [01:29<07:27,  1.86it/s, loss=0.0171, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  17%|█▋        | 166/1000 [01:29<07:27,  1.86it/s, loss=0.0347, lr=0.0004]\nSteps:  17%|█▋        | 167/1000 [01:30<07:30,  1.85it/s, loss=0.0347, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  17%|█▋        | 167/1000 [01:30<07:30,  1.85it/s, loss=0.02, lr=0.0004]  \nSteps:  17%|█▋        | 168/1000 [01:30<07:15,  1.91it/s, loss=0.02, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  17%|█▋        | 168/1000 [01:30<07:15,  1.91it/s, loss=0.0741, lr=0.0004]\nSteps:  17%|█▋        | 169/1000 [01:31<07:08,  1.94it/s, loss=0.0741, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  17%|█▋        | 169/1000 [01:31<07:08,  1.94it/s, loss=0.0995, lr=0.0004]\nSteps:  17%|█▋        | 170/1000 [01:31<07:00,  1.97it/s, loss=0.0995, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  17%|█▋        | 170/1000 [01:31<07:00,  1.97it/s, loss=0.0094, lr=0.0004]\nSteps:  17%|█▋        | 171/1000 [01:32<07:40,  1.80it/s, loss=0.0094, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  17%|█▋        | 171/1000 [01:32<07:40,  1.80it/s, loss=0.00362, lr=0.0004]\nSteps:  17%|█▋        | 172/1000 [01:32<07:31,  1.83it/s, loss=0.00362, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  17%|█▋        | 172/1000 [01:32<07:31,  1.83it/s, loss=0.15, lr=0.0004]   \nSteps:  17%|█▋        | 173/1000 [01:33<08:05,  1.70it/s, loss=0.15, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  17%|█▋        | 173/1000 [01:33<08:05,  1.70it/s, loss=0.0136, lr=0.0004]\nSteps:  17%|█▋        | 174/1000 [01:34<07:52,  1.75it/s, loss=0.0136, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  17%|█▋        | 174/1000 [01:34<07:52,  1.75it/s, loss=0.161, lr=0.0004] \nSteps:  18%|█▊        | 175/1000 [01:34<07:36,  1.81it/s, loss=0.161, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  18%|█▊        | 175/1000 [01:34<07:36,  1.81it/s, loss=0.0422, lr=0.0004]\nSteps:  18%|█▊        | 176/1000 [01:35<07:58,  1.72it/s, loss=0.0422, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  18%|█▊        | 176/1000 [01:35<07:58,  1.72it/s, loss=0.0218, lr=0.0004]\nSteps:  18%|█▊        | 177/1000 [01:35<07:39,  1.79it/s, loss=0.0218, lr=0.0004]\na photo of a <s1><s2>\nSteps:  18%|█▊        | 177/1000 [01:35<07:39,  1.79it/s, loss=0.181, lr=0.0004] \nSteps:  18%|█▊        | 178/1000 [01:36<07:24,  1.85it/s, loss=0.181, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  18%|█▊        | 178/1000 [01:36<07:24,  1.85it/s, loss=0.0171, lr=0.0004]\nSteps:  18%|█▊        | 179/1000 [01:36<07:16,  1.88it/s, loss=0.0171, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  18%|█▊        | 179/1000 [01:36<07:16,  1.88it/s, loss=0.0177, lr=0.0004]\nSteps:  18%|█▊        | 180/1000 [01:37<07:01,  1.95it/s, loss=0.0177, lr=0.0004]\na photo of a <s1><s2>\nSteps:  18%|█▊        | 180/1000 [01:37<07:01,  1.95it/s, loss=0.0109, lr=0.0004]\nSteps:  18%|█▊        | 181/1000 [01:37<07:39,  1.78it/s, loss=0.0109, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  18%|█▊        | 181/1000 [01:37<07:39,  1.78it/s, loss=0.0627, lr=0.0004]\nSteps:  18%|█▊        | 182/1000 [01:38<07:17,  1.87it/s, loss=0.0627, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  18%|█▊        | 182/1000 [01:38<07:17,  1.87it/s, loss=0.00471, lr=0.0004]\nSteps:  18%|█▊        | 183/1000 [01:38<07:02,  1.93it/s, loss=0.00471, lr=0.0004]\na photo of one <s1><s2>\nSteps:  18%|█▊        | 183/1000 [01:38<07:02,  1.93it/s, loss=0.0244, lr=0.0004] \nSteps:  18%|█▊        | 184/1000 [01:39<07:39,  1.77it/s, loss=0.0244, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  18%|█▊        | 184/1000 [01:39<07:39,  1.77it/s, loss=0.0182, lr=0.0004]\nSteps:  18%|█▊        | 185/1000 [01:40<07:32,  1.80it/s, loss=0.0182, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  18%|█▊        | 185/1000 [01:40<07:32,  1.80it/s, loss=0.0129, lr=0.0004]\nSteps:  19%|█▊        | 186/1000 [01:40<07:20,  1.85it/s, loss=0.0129, lr=0.0004]\na photo of the <s1><s2>\nSteps:  19%|█▊        | 186/1000 [01:40<07:20,  1.85it/s, loss=0.0748, lr=0.0004]\nSteps:  19%|█▊        | 187/1000 [01:41<07:03,  1.92it/s, loss=0.0748, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  19%|█▊        | 187/1000 [01:41<07:03,  1.92it/s, loss=0.0967, lr=0.0004]\nSteps:  19%|█▉        | 188/1000 [01:41<07:39,  1.77it/s, loss=0.0967, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  19%|█▉        | 188/1000 [01:41<07:39,  1.77it/s, loss=0.042, lr=0.0004] \nSteps:  19%|█▉        | 189/1000 [01:42<07:22,  1.83it/s, loss=0.042, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  19%|█▉        | 189/1000 [01:42<07:22,  1.83it/s, loss=0.202, lr=0.0004]\nSteps:  19%|█▉        | 190/1000 [01:42<07:14,  1.86it/s, loss=0.202, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  19%|█▉        | 190/1000 [01:42<07:14,  1.86it/s, loss=0.00984, lr=0.0004]\nSteps:  19%|█▉        | 191/1000 [01:43<06:54,  1.95it/s, loss=0.00984, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  19%|█▉        | 191/1000 [01:43<06:54,  1.95it/s, loss=0.0936, lr=0.0004] \nSteps:  19%|█▉        | 192/1000 [01:43<07:09,  1.88it/s, loss=0.0936, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  19%|█▉        | 192/1000 [01:43<07:09,  1.88it/s, loss=0.00203, lr=0.0004]\nSteps:  19%|█▉        | 193/1000 [01:44<07:02,  1.91it/s, loss=0.00203, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  19%|█▉        | 193/1000 [01:44<07:02,  1.91it/s, loss=0.00986, lr=0.0004]\nSteps:  19%|█▉        | 194/1000 [01:44<06:54,  1.94it/s, loss=0.00986, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  19%|█▉        | 194/1000 [01:44<06:54,  1.94it/s, loss=0.0103, lr=0.0004] \nSteps:  20%|█▉        | 195/1000 [01:45<06:48,  1.97it/s, loss=0.0103, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  20%|█▉        | 195/1000 [01:45<06:48,  1.97it/s, loss=0.00532, lr=0.0004]\nSteps:  20%|█▉        | 196/1000 [01:45<07:21,  1.82it/s, loss=0.00532, lr=0.0004]\na photo of a <s1><s2>\nSteps:  20%|█▉        | 196/1000 [01:45<07:21,  1.82it/s, loss=0.0148, lr=0.0004] \nSteps:  20%|█▉        | 197/1000 [01:46<07:42,  1.73it/s, loss=0.0148, lr=0.0004]\na photo of one <s1><s2>\nSteps:  20%|█▉        | 197/1000 [01:46<07:42,  1.73it/s, loss=0.026, lr=0.0004] \nSteps:  20%|█▉        | 198/1000 [01:47<07:15,  1.84it/s, loss=0.026, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  20%|█▉        | 198/1000 [01:47<07:15,  1.84it/s, loss=0.0529, lr=0.0004]\nSteps:  20%|█▉        | 199/1000 [01:47<07:08,  1.87it/s, loss=0.0529, lr=0.0004]\na photo of a <s1><s2>\nSteps:  20%|█▉        | 199/1000 [01:47<07:08,  1.87it/s, loss=0.064, lr=0.0004] \nSteps:  20%|██        | 200/1000 [01:48<07:35,  1.75it/s, loss=0.064, lr=0.0004]\na photo of a <s1><s2>\nSteps:  20%|██        | 200/1000 [01:48<07:35,  1.75it/s, loss=0.0192, lr=0.0004]\nSteps:  20%|██        | 201/1000 [01:48<07:21,  1.81it/s, loss=0.0192, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  20%|██        | 201/1000 [01:48<07:21,  1.81it/s, loss=0.275, lr=0.0004] \nSteps:  20%|██        | 202/1000 [01:49<07:02,  1.89it/s, loss=0.275, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  20%|██        | 202/1000 [01:49<07:02,  1.89it/s, loss=0.17, lr=0.0004] \nSteps:  20%|██        | 203/1000 [01:49<06:55,  1.92it/s, loss=0.17, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  20%|██        | 203/1000 [01:49<06:55,  1.92it/s, loss=0.0306, lr=0.0004]\nSteps:  20%|██        | 204/1000 [01:50<07:20,  1.81it/s, loss=0.0306, lr=0.0004]\na photo of my <s1><s2>\nSteps:  20%|██        | 204/1000 [01:50<07:20,  1.81it/s, loss=0.0321, lr=0.0004]\nSteps:  20%|██        | 205/1000 [01:50<07:19,  1.81it/s, loss=0.0321, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  20%|██        | 205/1000 [01:50<07:19,  1.81it/s, loss=0.00834, lr=0.0004]\nSteps:  21%|██        | 206/1000 [01:51<07:07,  1.86it/s, loss=0.00834, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  21%|██        | 206/1000 [01:51<07:07,  1.86it/s, loss=0.0141, lr=0.0004] \nSteps:  21%|██        | 207/1000 [01:51<06:49,  1.93it/s, loss=0.0141, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  21%|██        | 207/1000 [01:51<06:49,  1.93it/s, loss=0.0274, lr=0.0004]\nSteps:  21%|██        | 208/1000 [01:52<07:05,  1.86it/s, loss=0.0274, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  21%|██        | 208/1000 [01:52<07:05,  1.86it/s, loss=0.0243, lr=0.0004]\nSteps:  21%|██        | 209/1000 [01:52<06:43,  1.96it/s, loss=0.0243, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  21%|██        | 209/1000 [01:52<06:43,  1.96it/s, loss=0.364, lr=0.0004] \nSteps:  21%|██        | 210/1000 [01:53<06:34,  2.00it/s, loss=0.364, lr=0.0004]\na photo of the <s1><s2>\nSteps:  21%|██        | 210/1000 [01:53<06:34,  2.00it/s, loss=0.0264, lr=0.0004]\nSteps:  21%|██        | 211/1000 [01:54<07:06,  1.85it/s, loss=0.0264, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  21%|██        | 211/1000 [01:54<07:06,  1.85it/s, loss=0.00405, lr=0.0004]\nSteps:  21%|██        | 212/1000 [01:54<06:51,  1.91it/s, loss=0.00405, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  21%|██        | 212/1000 [01:54<06:51,  1.91it/s, loss=0.0291, lr=0.0004] \nSteps:  21%|██▏       | 213/1000 [01:54<06:37,  1.98it/s, loss=0.0291, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  21%|██▏       | 213/1000 [01:54<06:37,  1.98it/s, loss=0.0498, lr=0.0004]\nSteps:  21%|██▏       | 214/1000 [01:55<06:25,  2.04it/s, loss=0.0498, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  21%|██▏       | 214/1000 [01:55<06:25,  2.04it/s, loss=0.074, lr=0.0004] \nSteps:  22%|██▏       | 215/1000 [01:55<06:30,  2.01it/s, loss=0.074, lr=0.0004]\na photo of a <s1><s2>\nSteps:  22%|██▏       | 215/1000 [01:55<06:30,  2.01it/s, loss=0.137, lr=0.0004]\nSteps:  22%|██▏       | 216/1000 [01:56<07:02,  1.86it/s, loss=0.137, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  22%|██▏       | 216/1000 [01:56<07:02,  1.86it/s, loss=0.00204, lr=0.0004]\nSteps:  22%|██▏       | 217/1000 [01:57<06:53,  1.89it/s, loss=0.00204, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  22%|██▏       | 217/1000 [01:57<06:53,  1.89it/s, loss=0.00749, lr=0.0004]\nSteps:  22%|██▏       | 218/1000 [01:57<06:49,  1.91it/s, loss=0.00749, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  22%|██▏       | 218/1000 [01:57<06:49,  1.91it/s, loss=0.0261, lr=0.0004] \nSteps:  22%|██▏       | 219/1000 [01:58<07:17,  1.79it/s, loss=0.0261, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  22%|██▏       | 219/1000 [01:58<07:17,  1.79it/s, loss=0.00673, lr=0.0004]\nSteps:  22%|██▏       | 220/1000 [01:58<06:56,  1.87it/s, loss=0.00673, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  22%|██▏       | 220/1000 [01:58<06:56,  1.87it/s, loss=0.019, lr=0.0004]  \nSteps:  22%|██▏       | 221/1000 [01:59<07:20,  1.77it/s, loss=0.019, lr=0.0004]\na photo of a <s1><s2>\nSteps:  22%|██▏       | 221/1000 [01:59<07:20,  1.77it/s, loss=0.00655, lr=0.0004]\nSteps:  22%|██▏       | 222/1000 [01:59<06:56,  1.87it/s, loss=0.00655, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  22%|██▏       | 222/1000 [01:59<06:56,  1.87it/s, loss=0.0158, lr=0.0004] \nSteps:  22%|██▏       | 223/1000 [02:00<06:40,  1.94it/s, loss=0.0158, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  22%|██▏       | 223/1000 [02:00<06:40,  1.94it/s, loss=0.00863, lr=0.0004]\nSteps:  22%|██▏       | 224/1000 [02:00<06:31,  1.98it/s, loss=0.00863, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  22%|██▏       | 224/1000 [02:00<06:31,  1.98it/s, loss=0.00479, lr=0.0004]\nSteps:  22%|██▎       | 225/1000 [02:01<06:31,  1.98it/s, loss=0.00479, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  22%|██▎       | 225/1000 [02:01<06:31,  1.98it/s, loss=0.0296, lr=0.0004] \nSteps:  23%|██▎       | 226/1000 [02:01<07:07,  1.81it/s, loss=0.0296, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  23%|██▎       | 226/1000 [02:01<07:07,  1.81it/s, loss=0.00799, lr=0.0004]\nSteps:  23%|██▎       | 227/1000 [02:02<06:53,  1.87it/s, loss=0.00799, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  23%|██▎       | 227/1000 [02:02<06:53,  1.87it/s, loss=0.428, lr=0.0004]  \nSteps:  23%|██▎       | 228/1000 [02:02<06:51,  1.88it/s, loss=0.428, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  23%|██▎       | 228/1000 [02:02<06:51,  1.88it/s, loss=0.0716, lr=0.0004]\nSteps:  23%|██▎       | 229/1000 [02:03<06:47,  1.89it/s, loss=0.0716, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  23%|██▎       | 229/1000 [02:03<06:47,  1.89it/s, loss=0.0693, lr=0.0004]\nSteps:  23%|██▎       | 230/1000 [02:04<07:20,  1.75it/s, loss=0.0693, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  23%|██▎       | 230/1000 [02:04<07:20,  1.75it/s, loss=0.0256, lr=0.0004]\nSteps:  23%|██▎       | 231/1000 [02:04<06:55,  1.85it/s, loss=0.0256, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  23%|██▎       | 231/1000 [02:04<06:55,  1.85it/s, loss=0.0344, lr=0.0004]\nSteps:  23%|██▎       | 232/1000 [02:05<07:17,  1.76it/s, loss=0.0344, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  23%|██▎       | 232/1000 [02:05<07:17,  1.76it/s, loss=0.0076, lr=0.0004]\nSteps:  23%|██▎       | 233/1000 [02:05<07:07,  1.79it/s, loss=0.0076, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  23%|██▎       | 233/1000 [02:05<07:07,  1.79it/s, loss=0.0191, lr=0.0004]\nSteps:  23%|██▎       | 234/1000 [02:06<06:46,  1.89it/s, loss=0.0191, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  23%|██▎       | 234/1000 [02:06<06:46,  1.89it/s, loss=0.16, lr=0.0004]  \nSteps:  24%|██▎       | 235/1000 [02:06<06:32,  1.95it/s, loss=0.16, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  24%|██▎       | 235/1000 [02:06<06:32,  1.95it/s, loss=0.0419, lr=0.0004]\nSteps:  24%|██▎       | 236/1000 [02:07<06:24,  1.99it/s, loss=0.0419, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  24%|██▎       | 236/1000 [02:07<06:24,  1.99it/s, loss=0.0883, lr=0.0004]\nSteps:  24%|██▎       | 237/1000 [02:07<06:19,  2.01it/s, loss=0.0883, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  24%|██▎       | 237/1000 [02:07<06:19,  2.01it/s, loss=0.00818, lr=0.0004]\nSteps:  24%|██▍       | 238/1000 [02:08<06:50,  1.86it/s, loss=0.00818, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  24%|██▍       | 238/1000 [02:08<06:50,  1.86it/s, loss=0.00529, lr=0.0004]\nSteps:  24%|██▍       | 239/1000 [02:08<06:40,  1.90it/s, loss=0.00529, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  24%|██▍       | 239/1000 [02:08<06:40,  1.90it/s, loss=0.00596, lr=0.0004]\nSteps:  24%|██▍       | 240/1000 [02:09<06:30,  1.95it/s, loss=0.00596, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  24%|██▍       | 240/1000 [02:09<06:30,  1.95it/s, loss=0.00569, lr=0.0004]\nSteps:  24%|██▍       | 241/1000 [02:09<06:20,  1.99it/s, loss=0.00569, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  24%|██▍       | 241/1000 [02:09<06:20,  1.99it/s, loss=0.179, lr=0.0004]  \nSteps:  24%|██▍       | 242/1000 [02:10<06:47,  1.86it/s, loss=0.179, lr=0.0004]\na photo of the <s1><s2>\nSteps:  24%|██▍       | 242/1000 [02:10<06:47,  1.86it/s, loss=0.00187, lr=0.0004]\nSteps:  24%|██▍       | 243/1000 [02:10<06:40,  1.89it/s, loss=0.00187, lr=0.0004]\na photo of one <s1><s2>\nSteps:  24%|██▍       | 243/1000 [02:10<06:40,  1.89it/s, loss=0.00458, lr=0.0004]\nSteps:  24%|██▍       | 244/1000 [02:11<06:18,  2.00it/s, loss=0.00458, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  24%|██▍       | 244/1000 [02:11<06:18,  2.00it/s, loss=0.265, lr=0.0004]  \nSteps:  24%|██▍       | 245/1000 [02:11<06:44,  1.87it/s, loss=0.265, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  24%|██▍       | 245/1000 [02:11<06:44,  1.87it/s, loss=0.00329, lr=0.0004]\nSteps:  25%|██▍       | 246/1000 [02:12<07:11,  1.75it/s, loss=0.00329, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  25%|██▍       | 246/1000 [02:12<07:11,  1.75it/s, loss=0.00466, lr=0.0004]\nSteps:  25%|██▍       | 247/1000 [02:13<06:57,  1.80it/s, loss=0.00466, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  25%|██▍       | 247/1000 [02:13<06:57,  1.80it/s, loss=0.0269, lr=0.0004] \nSteps:  25%|██▍       | 248/1000 [02:13<06:41,  1.87it/s, loss=0.0269, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  25%|██▍       | 248/1000 [02:13<06:41,  1.87it/s, loss=0.0899, lr=0.0004]\nSteps:  25%|██▍       | 249/1000 [02:14<06:36,  1.89it/s, loss=0.0899, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  25%|██▍       | 249/1000 [02:14<06:36,  1.89it/s, loss=0.0844, lr=0.0004]\nSteps:  25%|██▌       | 250/1000 [02:14<06:19,  1.98it/s, loss=0.0844, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  25%|██▌       | 250/1000 [02:14<06:19,  1.98it/s, loss=0.0509, lr=0.0004]\nSteps:  25%|██▌       | 251/1000 [02:15<06:14,  2.00it/s, loss=0.0509, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  25%|██▌       | 251/1000 [02:15<06:14,  2.00it/s, loss=0.0298, lr=0.0004]\nSteps:  25%|██▌       | 252/1000 [02:15<06:48,  1.83it/s, loss=0.0298, lr=0.0004]\na photo of a <s1><s2>\nSteps:  25%|██▌       | 252/1000 [02:15<06:48,  1.83it/s, loss=0.0297, lr=0.0004]\nSteps:  25%|██▌       | 253/1000 [02:16<06:56,  1.80it/s, loss=0.0297, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  25%|██▌       | 253/1000 [02:16<06:56,  1.80it/s, loss=0.0375, lr=0.0004]\nSteps:  25%|██▌       | 254/1000 [02:16<07:17,  1.71it/s, loss=0.0375, lr=0.0004]\na photo of my <s1><s2>\nSteps:  25%|██▌       | 254/1000 [02:16<07:17,  1.71it/s, loss=0.0241, lr=0.0004]\nSteps:  26%|██▌       | 255/1000 [02:17<06:54,  1.80it/s, loss=0.0241, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  26%|██▌       | 255/1000 [02:17<06:54,  1.80it/s, loss=0.0388, lr=0.0004]\nSteps:  26%|██▌       | 256/1000 [02:17<06:42,  1.85it/s, loss=0.0388, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  26%|██▌       | 256/1000 [02:17<06:42,  1.85it/s, loss=0.00495, lr=0.0004]\nSteps:  26%|██▌       | 257/1000 [02:18<06:38,  1.87it/s, loss=0.00495, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  26%|██▌       | 257/1000 [02:18<06:38,  1.87it/s, loss=0.203, lr=0.0004]  \nSteps:  26%|██▌       | 258/1000 [02:18<06:23,  1.93it/s, loss=0.203, lr=0.0004]\na photo of a <s1><s2>\nSteps:  26%|██▌       | 258/1000 [02:18<06:23,  1.93it/s, loss=0.0958, lr=0.0004]\nSteps:  26%|██▌       | 259/1000 [02:19<06:18,  1.96it/s, loss=0.0958, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  26%|██▌       | 259/1000 [02:19<06:18,  1.96it/s, loss=0.0385, lr=0.0004]\nSteps:  26%|██▌       | 260/1000 [02:20<06:39,  1.85it/s, loss=0.0385, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  26%|██▌       | 260/1000 [02:20<06:39,  1.85it/s, loss=0.00775, lr=0.0004]\nSteps:  26%|██▌       | 261/1000 [02:20<06:29,  1.90it/s, loss=0.00775, lr=0.0004]\na photo of a <s1><s2>\nSteps:  26%|██▌       | 261/1000 [02:20<06:29,  1.90it/s, loss=0.00415, lr=0.0004]\nSteps:  26%|██▌       | 262/1000 [02:21<06:19,  1.94it/s, loss=0.00415, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  26%|██▌       | 262/1000 [02:21<06:19,  1.94it/s, loss=0.032, lr=0.0004]  \nSteps:  26%|██▋       | 263/1000 [02:21<06:25,  1.91it/s, loss=0.032, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  26%|██▋       | 263/1000 [02:21<06:25,  1.91it/s, loss=0.0152, lr=0.0004]\nSteps:  26%|██▋       | 264/1000 [02:22<06:41,  1.83it/s, loss=0.0152, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  26%|██▋       | 264/1000 [02:22<06:41,  1.83it/s, loss=0.0777, lr=0.0004]\nSteps:  26%|██▋       | 265/1000 [02:22<06:23,  1.92it/s, loss=0.0777, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  26%|██▋       | 265/1000 [02:22<06:23,  1.92it/s, loss=0.015, lr=0.0004] \nSteps:  27%|██▋       | 266/1000 [02:23<06:18,  1.94it/s, loss=0.015, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  27%|██▋       | 266/1000 [02:23<06:18,  1.94it/s, loss=0.0504, lr=0.0004]\nSteps:  27%|██▋       | 267/1000 [02:23<06:13,  1.96it/s, loss=0.0504, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  27%|██▋       | 267/1000 [02:23<06:13,  1.96it/s, loss=0.00552, lr=0.0004]\nSteps:  27%|██▋       | 268/1000 [02:24<06:01,  2.02it/s, loss=0.00552, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  27%|██▋       | 268/1000 [02:24<06:01,  2.02it/s, loss=0.127, lr=0.0004]  \nSteps:  27%|██▋       | 269/1000 [02:24<05:51,  2.08it/s, loss=0.127, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  27%|██▋       | 269/1000 [02:24<05:51,  2.08it/s, loss=0.00985, lr=0.0004]\nSteps:  27%|██▋       | 270/1000 [02:25<06:15,  1.94it/s, loss=0.00985, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  27%|██▋       | 270/1000 [02:25<06:15,  1.94it/s, loss=0.036, lr=0.0004]  \nSteps:  27%|██▋       | 271/1000 [02:25<05:59,  2.03it/s, loss=0.036, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  27%|██▋       | 271/1000 [02:25<05:59,  2.03it/s, loss=0.0694, lr=0.0004]\nSteps:  27%|██▋       | 272/1000 [02:26<06:35,  1.84it/s, loss=0.0694, lr=0.0004]\na photo of a <s1><s2>\nSteps:  27%|██▋       | 272/1000 [02:26<06:35,  1.84it/s, loss=0.0225, lr=0.0004]\nSteps:  27%|██▋       | 273/1000 [02:26<06:25,  1.89it/s, loss=0.0225, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  27%|██▋       | 273/1000 [02:26<06:25,  1.89it/s, loss=0.023, lr=0.0004] \nSteps:  27%|██▋       | 274/1000 [02:27<06:17,  1.92it/s, loss=0.023, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  27%|██▋       | 274/1000 [02:27<06:17,  1.92it/s, loss=0.0149, lr=0.0004]\nSteps:  28%|██▊       | 275/1000 [02:27<06:46,  1.78it/s, loss=0.0149, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  28%|██▊       | 275/1000 [02:27<06:46,  1.78it/s, loss=0.015, lr=0.0004] \nSteps:  28%|██▊       | 276/1000 [02:28<06:38,  1.82it/s, loss=0.015, lr=0.0004]\na photo of a <s1><s2>\nSteps:  28%|██▊       | 276/1000 [02:28<06:38,  1.82it/s, loss=0.0525, lr=0.0004]\nSteps:  28%|██▊       | 277/1000 [02:28<06:18,  1.91it/s, loss=0.0525, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  28%|██▊       | 277/1000 [02:28<06:18,  1.91it/s, loss=0.367, lr=0.0004] \nSteps:  28%|██▊       | 278/1000 [02:29<06:15,  1.92it/s, loss=0.367, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  28%|██▊       | 278/1000 [02:29<06:15,  1.92it/s, loss=0.0541, lr=0.0004]\nSteps:  28%|██▊       | 279/1000 [02:29<06:11,  1.94it/s, loss=0.0541, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  28%|██▊       | 279/1000 [02:29<06:11,  1.94it/s, loss=0.0109, lr=0.0004]\nSteps:  28%|██▊       | 280/1000 [02:30<06:37,  1.81it/s, loss=0.0109, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  28%|██▊       | 280/1000 [02:30<06:37,  1.81it/s, loss=0.00258, lr=0.0004]\nSteps:  28%|██▊       | 281/1000 [02:31<06:21,  1.88it/s, loss=0.00258, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  28%|██▊       | 281/1000 [02:31<06:21,  1.88it/s, loss=0.14, lr=0.0004]   \nSteps:  28%|██▊       | 282/1000 [02:31<06:34,  1.82it/s, loss=0.14, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  28%|██▊       | 282/1000 [02:31<06:34,  1.82it/s, loss=0.00178, lr=0.0004]\nSteps:  28%|██▊       | 283/1000 [02:32<06:15,  1.91it/s, loss=0.00178, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  28%|██▊       | 283/1000 [02:32<06:15,  1.91it/s, loss=0.00709, lr=0.0004]\nSteps:  28%|██▊       | 284/1000 [02:32<06:08,  1.95it/s, loss=0.00709, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  28%|██▊       | 284/1000 [02:32<06:08,  1.95it/s, loss=0.00446, lr=0.0004]\nSteps:  28%|██▊       | 285/1000 [02:33<06:05,  1.96it/s, loss=0.00446, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  28%|██▊       | 285/1000 [02:33<06:05,  1.96it/s, loss=0.0344, lr=0.0004] \nSteps:  29%|██▊       | 286/1000 [02:33<05:55,  2.01it/s, loss=0.0344, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  29%|██▊       | 286/1000 [02:33<05:55,  2.01it/s, loss=0.0437, lr=0.0004]\nSteps:  29%|██▊       | 287/1000 [02:34<06:30,  1.83it/s, loss=0.0437, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  29%|██▊       | 287/1000 [02:34<06:30,  1.83it/s, loss=0.0489, lr=0.0004]\nSteps:  29%|██▉       | 288/1000 [02:34<06:06,  1.94it/s, loss=0.0489, lr=0.0004]\na photo of one <s1><s2>\nSteps:  29%|██▉       | 288/1000 [02:34<06:06,  1.94it/s, loss=0.14, lr=0.0004]  \nSteps:  29%|██▉       | 289/1000 [02:35<06:02,  1.96it/s, loss=0.14, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  29%|██▉       | 289/1000 [02:35<06:02,  1.96it/s, loss=0.168, lr=0.0004]\nSteps:  29%|██▉       | 290/1000 [02:35<06:23,  1.85it/s, loss=0.168, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  29%|██▉       | 290/1000 [02:35<06:23,  1.85it/s, loss=0.00953, lr=0.0004]\nSteps:  29%|██▉       | 291/1000 [02:36<07:01,  1.68it/s, loss=0.00953, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  29%|██▉       | 291/1000 [02:36<07:01,  1.68it/s, loss=0.00649, lr=0.0004]\nSteps:  29%|██▉       | 292/1000 [02:36<06:39,  1.77it/s, loss=0.00649, lr=0.0004]\na photo of a <s1><s2>\nSteps:  29%|██▉       | 292/1000 [02:36<06:39,  1.77it/s, loss=0.0997, lr=0.0004] \nSteps:  29%|██▉       | 293/1000 [02:37<06:19,  1.86it/s, loss=0.0997, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  29%|██▉       | 293/1000 [02:37<06:19,  1.86it/s, loss=0.00727, lr=0.0004]\nSteps:  29%|██▉       | 294/1000 [02:37<06:13,  1.89it/s, loss=0.00727, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  29%|██▉       | 294/1000 [02:37<06:13,  1.89it/s, loss=0.0275, lr=0.0004] \nSteps:  30%|██▉       | 295/1000 [02:38<05:54,  1.99it/s, loss=0.0275, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  30%|██▉       | 295/1000 [02:38<05:54,  1.99it/s, loss=0.0243, lr=0.0004]\nSteps:  30%|██▉       | 296/1000 [02:38<05:54,  1.99it/s, loss=0.0243, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  30%|██▉       | 296/1000 [02:38<05:54,  1.99it/s, loss=0.0405, lr=0.0004]\nSteps:  30%|██▉       | 297/1000 [02:39<06:19,  1.85it/s, loss=0.0405, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  30%|██▉       | 297/1000 [02:39<06:19,  1.85it/s, loss=0.00335, lr=0.0004]\nSteps:  30%|██▉       | 298/1000 [02:40<06:13,  1.88it/s, loss=0.00335, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  30%|██▉       | 298/1000 [02:40<06:13,  1.88it/s, loss=0.0289, lr=0.0004] \nSteps:  30%|██▉       | 299/1000 [02:40<06:31,  1.79it/s, loss=0.0289, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  30%|██▉       | 299/1000 [02:40<06:31,  1.79it/s, loss=0.00975, lr=0.0004]\nSteps:  30%|███       | 300/1000 [02:41<06:16,  1.86it/s, loss=0.00975, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  30%|███       | 300/1000 [02:41<06:16,  1.86it/s, loss=0.0244, lr=0.0004] \nSteps:  30%|███       | 301/1000 [02:41<06:07,  1.90it/s, loss=0.0244, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  30%|███       | 301/1000 [02:41<06:07,  1.90it/s, loss=0.0227, lr=0.0004]\nSteps:  30%|███       | 302/1000 [02:42<05:57,  1.95it/s, loss=0.0227, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  30%|███       | 302/1000 [02:42<05:57,  1.95it/s, loss=0.0228, lr=0.0004]\nSteps:  30%|███       | 303/1000 [02:42<05:48,  2.00it/s, loss=0.0228, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  30%|███       | 303/1000 [02:42<05:48,  2.00it/s, loss=0.0744, lr=0.0004]\nSteps:  30%|███       | 304/1000 [02:43<05:54,  1.96it/s, loss=0.0744, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  30%|███       | 304/1000 [02:43<05:54,  1.96it/s, loss=0.1, lr=0.0004]   \nSteps:  30%|███       | 305/1000 [02:43<06:24,  1.81it/s, loss=0.1, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  30%|███       | 305/1000 [02:43<06:24,  1.81it/s, loss=0.0074, lr=0.0004]\nSteps:  31%|███       | 306/1000 [02:44<06:15,  1.85it/s, loss=0.0074, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  31%|███       | 306/1000 [02:44<06:15,  1.85it/s, loss=0.0188, lr=0.0004]\nSteps:  31%|███       | 307/1000 [02:44<06:31,  1.77it/s, loss=0.0188, lr=0.0004]\na photo of my <s1><s2>\nSteps:  31%|███       | 307/1000 [02:44<06:31,  1.77it/s, loss=0.0105, lr=0.0004]\nSteps:  31%|███       | 308/1000 [02:45<06:12,  1.86it/s, loss=0.0105, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  31%|███       | 308/1000 [02:45<06:12,  1.86it/s, loss=0.0468, lr=0.0004]\nSteps:  31%|███       | 309/1000 [02:46<06:38,  1.73it/s, loss=0.0468, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  31%|███       | 309/1000 [02:46<06:38,  1.73it/s, loss=0.00626, lr=0.0004]\nSteps:  31%|███       | 310/1000 [02:46<06:28,  1.78it/s, loss=0.00626, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  31%|███       | 310/1000 [02:46<06:28,  1.78it/s, loss=0.0192, lr=0.0004] \nSteps:  31%|███       | 311/1000 [02:47<06:10,  1.86it/s, loss=0.0192, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  31%|███       | 311/1000 [02:47<06:10,  1.86it/s, loss=0.0987, lr=0.0004]\nSteps:  31%|███       | 312/1000 [02:47<06:07,  1.87it/s, loss=0.0987, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  31%|███       | 312/1000 [02:47<06:07,  1.87it/s, loss=0.0216, lr=0.0004]\nSteps:  31%|███▏      | 313/1000 [02:48<06:02,  1.89it/s, loss=0.0216, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  31%|███▏      | 313/1000 [02:48<06:02,  1.89it/s, loss=0.0277, lr=0.0004]\nSteps:  31%|███▏      | 314/1000 [02:48<06:14,  1.83it/s, loss=0.0277, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  31%|███▏      | 314/1000 [02:48<06:14,  1.83it/s, loss=0.0327, lr=0.0004]\nSteps:  32%|███▏      | 315/1000 [02:49<06:04,  1.88it/s, loss=0.0327, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  32%|███▏      | 315/1000 [02:49<06:04,  1.88it/s, loss=0.00564, lr=0.0004]\nSteps:  32%|███▏      | 316/1000 [02:49<05:52,  1.94it/s, loss=0.00564, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  32%|███▏      | 316/1000 [02:49<05:52,  1.94it/s, loss=0.0051, lr=0.0004] \nSteps:  32%|███▏      | 317/1000 [02:50<06:20,  1.79it/s, loss=0.0051, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  32%|███▏      | 317/1000 [02:50<06:20,  1.79it/s, loss=0.0366, lr=0.0004]\nSteps:  32%|███▏      | 318/1000 [02:50<05:59,  1.90it/s, loss=0.0366, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  32%|███▏      | 318/1000 [02:50<05:59,  1.90it/s, loss=0.0696, lr=0.0004]\nSteps:  32%|███▏      | 319/1000 [02:51<05:49,  1.95it/s, loss=0.0696, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  32%|███▏      | 319/1000 [02:51<05:49,  1.95it/s, loss=0.0778, lr=0.0004]\nSteps:  32%|███▏      | 320/1000 [02:51<06:07,  1.85it/s, loss=0.0778, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  32%|███▏      | 320/1000 [02:51<06:07,  1.85it/s, loss=0.00599, lr=0.0004]\nSteps:  32%|███▏      | 321/1000 [02:52<05:51,  1.93it/s, loss=0.00599, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  32%|███▏      | 321/1000 [02:52<05:51,  1.93it/s, loss=0.245, lr=0.0004]  \nSteps:  32%|███▏      | 322/1000 [02:52<05:53,  1.92it/s, loss=0.245, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  32%|███▏      | 322/1000 [02:52<05:53,  1.92it/s, loss=0.00627, lr=0.0004]\nSteps:  32%|███▏      | 323/1000 [02:53<05:55,  1.90it/s, loss=0.00627, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  32%|███▏      | 323/1000 [02:53<05:55,  1.90it/s, loss=0.0582, lr=0.0004] \nSteps:  32%|███▏      | 324/1000 [02:53<05:43,  1.97it/s, loss=0.0582, lr=0.0004]\na photo of a <s1><s2>\nSteps:  32%|███▏      | 324/1000 [02:53<05:43,  1.97it/s, loss=0.212, lr=0.0004] \nSteps:  32%|███▎      | 325/1000 [02:54<05:58,  1.89it/s, loss=0.212, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  32%|███▎      | 325/1000 [02:54<05:58,  1.89it/s, loss=0.00502, lr=0.0004]\nSteps:  33%|███▎      | 326/1000 [02:54<05:47,  1.94it/s, loss=0.00502, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  33%|███▎      | 326/1000 [02:54<05:47,  1.94it/s, loss=0.0175, lr=0.0004] \nSteps:  33%|███▎      | 327/1000 [02:55<05:44,  1.96it/s, loss=0.0175, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  33%|███▎      | 327/1000 [02:55<05:44,  1.96it/s, loss=0.0234, lr=0.0004]\nSteps:  33%|███▎      | 328/1000 [02:55<05:33,  2.02it/s, loss=0.0234, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  33%|███▎      | 328/1000 [02:55<05:33,  2.02it/s, loss=0.00931, lr=0.0004]\nSteps:  33%|███▎      | 329/1000 [02:56<05:54,  1.89it/s, loss=0.00931, lr=0.0004]\na photo of one <s1><s2>\nSteps:  33%|███▎      | 329/1000 [02:56<05:54,  1.89it/s, loss=0.0134, lr=0.0004] \nSteps:  33%|███▎      | 330/1000 [02:56<05:48,  1.92it/s, loss=0.0134, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  33%|███▎      | 330/1000 [02:57<05:48,  1.92it/s, loss=0.0145, lr=0.0004]\nSteps:  33%|███▎      | 331/1000 [02:57<06:12,  1.80it/s, loss=0.0145, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  33%|███▎      | 331/1000 [02:57<06:12,  1.80it/s, loss=0.0072, lr=0.0004]\nSteps:  33%|███▎      | 332/1000 [02:58<06:03,  1.84it/s, loss=0.0072, lr=0.0004]\na photo of my <s1><s2>\nSteps:  33%|███▎      | 332/1000 [02:58<06:03,  1.84it/s, loss=0.0585, lr=0.0004]\nSteps:  33%|███▎      | 333/1000 [02:58<06:17,  1.77it/s, loss=0.0585, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  33%|███▎      | 333/1000 [02:58<06:17,  1.77it/s, loss=0.00463, lr=0.0004]\nSteps:  33%|███▎      | 334/1000 [02:59<06:02,  1.84it/s, loss=0.00463, lr=0.0004]\na photo of a <s1><s2>\nSteps:  33%|███▎      | 334/1000 [02:59<06:02,  1.84it/s, loss=0.0508, lr=0.0004] \nSteps:  34%|███▎      | 335/1000 [02:59<05:45,  1.92it/s, loss=0.0508, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  34%|███▎      | 335/1000 [02:59<05:45,  1.92it/s, loss=0.0042, lr=0.0004]\nSteps:  34%|███▎      | 336/1000 [03:00<05:39,  1.96it/s, loss=0.0042, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  34%|███▎      | 336/1000 [03:00<05:39,  1.96it/s, loss=0.0231, lr=0.0004]\nSteps:  34%|███▎      | 337/1000 [03:00<05:32,  1.99it/s, loss=0.0231, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  34%|███▎      | 337/1000 [03:00<05:32,  1.99it/s, loss=0.0449, lr=0.0004]\nSteps:  34%|███▍      | 338/1000 [03:01<05:49,  1.89it/s, loss=0.0449, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  34%|███▍      | 338/1000 [03:01<05:49,  1.89it/s, loss=0.00131, lr=0.0004]\nSteps:  34%|███▍      | 339/1000 [03:01<05:35,  1.97it/s, loss=0.00131, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  34%|███▍      | 339/1000 [03:01<05:35,  1.97it/s, loss=0.0159, lr=0.0004] \nSteps:  34%|███▍      | 340/1000 [03:02<05:40,  1.94it/s, loss=0.0159, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  34%|███▍      | 340/1000 [03:02<05:40,  1.94it/s, loss=0.00996, lr=0.0004]\nSteps:  34%|███▍      | 341/1000 [03:02<05:27,  2.01it/s, loss=0.00996, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  34%|███▍      | 341/1000 [03:02<05:27,  2.01it/s, loss=0.0585, lr=0.0004] \nSteps:  34%|███▍      | 342/1000 [03:03<06:03,  1.81it/s, loss=0.0585, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  34%|███▍      | 342/1000 [03:03<06:03,  1.81it/s, loss=0.00988, lr=0.0004]\nSteps:  34%|███▍      | 343/1000 [03:03<05:41,  1.92it/s, loss=0.00988, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  34%|███▍      | 343/1000 [03:03<05:41,  1.92it/s, loss=0.0852, lr=0.0004] \nSteps:  34%|███▍      | 344/1000 [03:04<05:31,  1.98it/s, loss=0.0852, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  34%|███▍      | 344/1000 [03:04<05:31,  1.98it/s, loss=0.00727, lr=0.0004]\nSteps:  34%|███▍      | 345/1000 [03:04<05:32,  1.97it/s, loss=0.00727, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  34%|███▍      | 345/1000 [03:04<05:32,  1.97it/s, loss=0.00963, lr=0.0004]\nSteps:  35%|███▍      | 346/1000 [03:05<05:59,  1.82it/s, loss=0.00963, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  35%|███▍      | 346/1000 [03:05<05:59,  1.82it/s, loss=0.0198, lr=0.0004] \nSteps:  35%|███▍      | 347/1000 [03:05<05:46,  1.89it/s, loss=0.0198, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  35%|███▍      | 347/1000 [03:05<05:46,  1.89it/s, loss=0.0418, lr=0.0004]\nSteps:  35%|███▍      | 348/1000 [03:06<05:41,  1.91it/s, loss=0.0418, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  35%|███▍      | 348/1000 [03:06<05:41,  1.91it/s, loss=0.0271, lr=0.0004]\nSteps:  35%|███▍      | 349/1000 [03:07<05:39,  1.92it/s, loss=0.0271, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  35%|███▍      | 349/1000 [03:07<05:39,  1.92it/s, loss=0.0792, lr=0.0004]\nSteps:  35%|███▌      | 350/1000 [03:07<06:01,  1.80it/s, loss=0.0792, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  35%|███▌      | 350/1000 [03:07<06:01,  1.80it/s, loss=0.026, lr=0.0004] \nSteps:  35%|███▌      | 351/1000 [03:08<05:48,  1.86it/s, loss=0.026, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  35%|███▌      | 351/1000 [03:08<05:48,  1.86it/s, loss=0.0655, lr=0.0004]\nSteps:  35%|███▌      | 352/1000 [03:08<05:43,  1.89it/s, loss=0.0655, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  35%|███▌      | 352/1000 [03:08<05:43,  1.89it/s, loss=0.107, lr=0.0004] \nSteps:  35%|███▌      | 353/1000 [03:09<05:57,  1.81it/s, loss=0.107, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  35%|███▌      | 353/1000 [03:09<05:57,  1.81it/s, loss=0.00235, lr=0.0004]\nSteps:  35%|███▌      | 354/1000 [03:09<05:38,  1.91it/s, loss=0.00235, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  35%|███▌      | 354/1000 [03:09<05:38,  1.91it/s, loss=0.0434, lr=0.0004] \nSteps:  36%|███▌      | 355/1000 [03:10<05:28,  1.96it/s, loss=0.0434, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  36%|███▌      | 355/1000 [03:10<05:28,  1.96it/s, loss=0.0515, lr=0.0004]\nSteps:  36%|███▌      | 356/1000 [03:10<05:23,  1.99it/s, loss=0.0515, lr=0.0004]\na photo of my <s1><s2>\nSteps:  36%|███▌      | 356/1000 [03:10<05:23,  1.99it/s, loss=0.0119, lr=0.0004]\nSteps:  36%|███▌      | 357/1000 [03:11<05:51,  1.83it/s, loss=0.0119, lr=0.0004]\na photo of my <s1><s2>\nSteps:  36%|███▌      | 357/1000 [03:11<05:51,  1.83it/s, loss=0.0102, lr=0.0004]\nSteps:  36%|███▌      | 358/1000 [03:11<05:36,  1.91it/s, loss=0.0102, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  36%|███▌      | 358/1000 [03:11<05:36,  1.91it/s, loss=0.0209, lr=0.0004]\nSteps:  36%|███▌      | 359/1000 [03:12<05:26,  1.96it/s, loss=0.0209, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  36%|███▌      | 359/1000 [03:12<05:26,  1.96it/s, loss=0.0945, lr=0.0004]\nSteps:  36%|███▌      | 360/1000 [03:12<05:44,  1.86it/s, loss=0.0945, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  36%|███▌      | 360/1000 [03:12<05:44,  1.86it/s, loss=0.0398, lr=0.0004]\nSteps:  36%|███▌      | 361/1000 [03:13<05:35,  1.90it/s, loss=0.0398, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  36%|███▌      | 361/1000 [03:13<05:35,  1.90it/s, loss=0.23, lr=0.0004]  \nSteps:  36%|███▌      | 362/1000 [03:13<05:34,  1.91it/s, loss=0.23, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  36%|███▌      | 362/1000 [03:13<05:34,  1.91it/s, loss=0.0795, lr=0.0004]\nSteps:  36%|███▋      | 363/1000 [03:14<05:25,  1.96it/s, loss=0.0795, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  36%|███▋      | 363/1000 [03:14<05:25,  1.96it/s, loss=0.0645, lr=0.0004]\nSteps:  36%|███▋      | 364/1000 [03:14<05:46,  1.84it/s, loss=0.0645, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  36%|███▋      | 364/1000 [03:14<05:46,  1.84it/s, loss=0.00682, lr=0.0004]\nSteps:  36%|███▋      | 365/1000 [03:15<05:25,  1.95it/s, loss=0.00682, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  36%|███▋      | 365/1000 [03:15<05:25,  1.95it/s, loss=0.0398, lr=0.0004] \nSteps:  37%|███▋      | 366/1000 [03:15<05:33,  1.90it/s, loss=0.0398, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  37%|███▋      | 366/1000 [03:15<05:33,  1.90it/s, loss=0.017, lr=0.0004] \nSteps:  37%|███▋      | 367/1000 [03:16<05:53,  1.79it/s, loss=0.017, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  37%|███▋      | 367/1000 [03:16<05:53,  1.79it/s, loss=0.0123, lr=0.0004]\nSteps:  37%|███▋      | 368/1000 [03:17<06:09,  1.71it/s, loss=0.0123, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  37%|███▋      | 368/1000 [03:17<06:09,  1.71it/s, loss=0.00832, lr=0.0004]\nSteps:  37%|███▋      | 369/1000 [03:17<05:55,  1.78it/s, loss=0.00832, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  37%|███▋      | 369/1000 [03:17<05:55,  1.78it/s, loss=0.0129, lr=0.0004] \nSteps:  37%|███▋      | 370/1000 [03:18<05:43,  1.83it/s, loss=0.0129, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  37%|███▋      | 370/1000 [03:18<05:43,  1.83it/s, loss=0.414, lr=0.0004] \nSteps:  37%|███▋      | 371/1000 [03:18<05:36,  1.87it/s, loss=0.414, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  37%|███▋      | 371/1000 [03:18<05:36,  1.87it/s, loss=0.0129, lr=0.0004]\nSteps:  37%|███▋      | 372/1000 [03:19<06:11,  1.69it/s, loss=0.0129, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  37%|███▋      | 372/1000 [03:19<06:11,  1.69it/s, loss=0.00216, lr=0.0004]\nSteps:  37%|███▋      | 373/1000 [03:20<06:18,  1.66it/s, loss=0.00216, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  37%|███▋      | 373/1000 [03:20<06:18,  1.66it/s, loss=0.00155, lr=0.0004]\nSteps:  37%|███▋      | 374/1000 [03:20<06:02,  1.73it/s, loss=0.00155, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  37%|███▋      | 374/1000 [03:20<06:02,  1.73it/s, loss=0.0458, lr=0.0004] \nSteps:  38%|███▊      | 375/1000 [03:21<05:52,  1.77it/s, loss=0.0458, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  38%|███▊      | 375/1000 [03:21<05:52,  1.77it/s, loss=0.0239, lr=0.0004]\nSteps:  38%|███▊      | 376/1000 [03:21<05:50,  1.78it/s, loss=0.0239, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  38%|███▊      | 376/1000 [03:21<05:50,  1.78it/s, loss=0.0294, lr=0.0004]\nSteps:  38%|███▊      | 377/1000 [03:22<05:35,  1.86it/s, loss=0.0294, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  38%|███▊      | 377/1000 [03:22<05:35,  1.86it/s, loss=0.169, lr=0.0004] \nSteps:  38%|███▊      | 378/1000 [03:22<05:24,  1.92it/s, loss=0.169, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  38%|███▊      | 378/1000 [03:22<05:24,  1.92it/s, loss=0.0431, lr=0.0004]\nSteps:  38%|███▊      | 379/1000 [03:23<05:17,  1.96it/s, loss=0.0431, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  38%|███▊      | 379/1000 [03:23<05:17,  1.96it/s, loss=0.0121, lr=0.0004]\nSteps:  38%|███▊      | 380/1000 [03:23<05:37,  1.84it/s, loss=0.0121, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  38%|███▊      | 380/1000 [03:23<05:37,  1.84it/s, loss=0.0515, lr=0.0004]\nSteps:  38%|███▊      | 381/1000 [03:24<05:30,  1.88it/s, loss=0.0515, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  38%|███▊      | 381/1000 [03:24<05:30,  1.88it/s, loss=0.0289, lr=0.0004]\nSteps:  38%|███▊      | 382/1000 [03:24<05:13,  1.97it/s, loss=0.0289, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  38%|███▊      | 382/1000 [03:24<05:13,  1.97it/s, loss=0.00917, lr=0.0004]\nSteps:  38%|███▊      | 383/1000 [03:25<05:34,  1.84it/s, loss=0.00917, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  38%|███▊      | 383/1000 [03:25<05:34,  1.84it/s, loss=0.00676, lr=0.0004]\nSteps:  38%|███▊      | 384/1000 [03:25<05:17,  1.94it/s, loss=0.00676, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  38%|███▊      | 384/1000 [03:25<05:17,  1.94it/s, loss=0.359, lr=0.0004]  \nSteps:  38%|███▊      | 385/1000 [03:26<05:10,  1.98it/s, loss=0.359, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  38%|███▊      | 385/1000 [03:26<05:10,  1.98it/s, loss=0.28, lr=0.0004] \nSteps:  39%|███▊      | 386/1000 [03:26<05:04,  2.02it/s, loss=0.28, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  39%|███▊      | 386/1000 [03:26<05:04,  2.02it/s, loss=0.0666, lr=0.0004]\nSteps:  39%|███▊      | 387/1000 [03:27<05:04,  2.01it/s, loss=0.0666, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  39%|███▊      | 387/1000 [03:27<05:04,  2.01it/s, loss=0.0278, lr=0.0004]\nSteps:  39%|███▉      | 388/1000 [03:27<05:28,  1.86it/s, loss=0.0278, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  39%|███▉      | 388/1000 [03:27<05:28,  1.86it/s, loss=0.0161, lr=0.0004]\nSteps:  39%|███▉      | 389/1000 [03:28<05:07,  1.98it/s, loss=0.0161, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  39%|███▉      | 389/1000 [03:28<05:07,  1.98it/s, loss=0.167, lr=0.0004] \nSteps:  39%|███▉      | 390/1000 [03:28<04:59,  2.04it/s, loss=0.167, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  39%|███▉      | 390/1000 [03:28<04:59,  2.04it/s, loss=0.0483, lr=0.0004]\nSteps:  39%|███▉      | 391/1000 [03:29<05:18,  1.91it/s, loss=0.0483, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  39%|███▉      | 391/1000 [03:29<05:18,  1.91it/s, loss=0.00784, lr=0.0004]\nSteps:  39%|███▉      | 392/1000 [03:29<05:12,  1.95it/s, loss=0.00784, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  39%|███▉      | 392/1000 [03:29<05:12,  1.95it/s, loss=0.00592, lr=0.0004]\nSteps:  39%|███▉      | 393/1000 [03:30<05:02,  2.01it/s, loss=0.00592, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  39%|███▉      | 393/1000 [03:30<05:02,  2.01it/s, loss=0.106, lr=0.0004]  \nSteps:  39%|███▉      | 394/1000 [03:31<05:23,  1.87it/s, loss=0.106, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  39%|███▉      | 394/1000 [03:31<05:23,  1.87it/s, loss=0.0243, lr=0.0004]\nSteps:  40%|███▉      | 395/1000 [03:31<05:46,  1.75it/s, loss=0.0243, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  40%|███▉      | 395/1000 [03:31<05:46,  1.75it/s, loss=0.00629, lr=0.0004]\nSteps:  40%|███▉      | 396/1000 [03:32<05:35,  1.80it/s, loss=0.00629, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  40%|███▉      | 396/1000 [03:32<05:35,  1.80it/s, loss=0.155, lr=0.0004]  \nSteps:  40%|███▉      | 397/1000 [03:32<05:15,  1.91it/s, loss=0.155, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  40%|███▉      | 397/1000 [03:32<05:15,  1.91it/s, loss=0.127, lr=0.0004]\nSteps:  40%|███▉      | 398/1000 [03:33<05:12,  1.93it/s, loss=0.127, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  40%|███▉      | 398/1000 [03:33<05:12,  1.93it/s, loss=0.035, lr=0.0004]\nSteps:  40%|███▉      | 399/1000 [03:33<05:14,  1.91it/s, loss=0.035, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  40%|███▉      | 399/1000 [03:33<05:14,  1.91it/s, loss=0.0328, lr=0.0004]\nSteps:  40%|████      | 400/1000 [03:34<05:10,  1.93it/s, loss=0.0328, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  40%|████      | 400/1000 [03:34<05:10,  1.93it/s, loss=0.00762, lr=0.0004]\nSteps:  40%|████      | 401/1000 [03:34<05:01,  1.99it/s, loss=0.00762, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  40%|████      | 401/1000 [03:34<05:01,  1.99it/s, loss=0.268, lr=0.0004]  \nSteps:  40%|████      | 402/1000 [03:35<04:53,  2.04it/s, loss=0.268, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  40%|████      | 402/1000 [03:35<04:53,  2.04it/s, loss=0.0388, lr=0.0004]\nSteps:  40%|████      | 403/1000 [03:35<05:22,  1.85it/s, loss=0.0388, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  40%|████      | 403/1000 [03:35<05:22,  1.85it/s, loss=0.059, lr=0.0004] \nSteps:  40%|████      | 404/1000 [03:36<05:12,  1.91it/s, loss=0.059, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  40%|████      | 404/1000 [03:36<05:12,  1.91it/s, loss=0.00572, lr=0.0004]\nSteps:  40%|████      | 405/1000 [03:36<05:10,  1.92it/s, loss=0.00572, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  40%|████      | 405/1000 [03:36<05:10,  1.92it/s, loss=0.00473, lr=0.0004]\nSteps:  41%|████      | 406/1000 [03:37<05:31,  1.79it/s, loss=0.00473, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  41%|████      | 406/1000 [03:37<05:31,  1.79it/s, loss=0.00587, lr=0.0004]\nSteps:  41%|████      | 407/1000 [03:37<05:22,  1.84it/s, loss=0.00587, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  41%|████      | 407/1000 [03:37<05:22,  1.84it/s, loss=0.0044, lr=0.0004] \nSteps:  41%|████      | 408/1000 [03:38<05:10,  1.90it/s, loss=0.0044, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  41%|████      | 408/1000 [03:38<05:10,  1.90it/s, loss=0.0121, lr=0.0004]\nSteps:  41%|████      | 409/1000 [03:38<05:09,  1.91it/s, loss=0.0121, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  41%|████      | 409/1000 [03:38<05:09,  1.91it/s, loss=0.0962, lr=0.0004]\nSteps:  41%|████      | 410/1000 [03:39<05:02,  1.95it/s, loss=0.0962, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  41%|████      | 410/1000 [03:39<05:02,  1.95it/s, loss=0.00194, lr=0.0004]\nSteps:  41%|████      | 411/1000 [03:39<04:50,  2.03it/s, loss=0.00194, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  41%|████      | 411/1000 [03:39<04:50,  2.03it/s, loss=0.0325, lr=0.0004] \nSteps:  41%|████      | 412/1000 [03:40<05:23,  1.82it/s, loss=0.0325, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  41%|████      | 412/1000 [03:40<05:23,  1.82it/s, loss=0.00856, lr=0.0004]\nSteps:  41%|████▏     | 413/1000 [03:41<05:33,  1.76it/s, loss=0.00856, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  41%|████▏     | 413/1000 [03:41<05:33,  1.76it/s, loss=0.00695, lr=0.0004]\nSteps:  41%|████▏     | 414/1000 [03:41<05:49,  1.68it/s, loss=0.00695, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  41%|████▏     | 414/1000 [03:41<05:49,  1.68it/s, loss=0.102, lr=0.0004]  \nSteps:  42%|████▏     | 415/1000 [03:42<05:55,  1.64it/s, loss=0.102, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  42%|████▏     | 415/1000 [03:42<05:55,  1.64it/s, loss=0.00786, lr=0.0004]\nSteps:  42%|████▏     | 416/1000 [03:42<05:40,  1.71it/s, loss=0.00786, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  42%|████▏     | 416/1000 [03:42<05:40,  1.71it/s, loss=0.693, lr=0.0004]  \nSteps:  42%|████▏     | 417/1000 [03:43<05:21,  1.81it/s, loss=0.693, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  42%|████▏     | 417/1000 [03:43<05:21,  1.81it/s, loss=0.00828, lr=0.0004]\nSteps:  42%|████▏     | 418/1000 [03:43<05:09,  1.88it/s, loss=0.00828, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  42%|████▏     | 418/1000 [03:43<05:09,  1.88it/s, loss=0.0266, lr=0.0004] \nSteps:  42%|████▏     | 419/1000 [03:44<05:07,  1.89it/s, loss=0.0266, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  42%|████▏     | 419/1000 [03:44<05:07,  1.89it/s, loss=0.132, lr=0.0004] \nSteps:  42%|████▏     | 420/1000 [03:44<05:06,  1.89it/s, loss=0.132, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  42%|████▏     | 420/1000 [03:44<05:06,  1.89it/s, loss=0.0231, lr=0.0004]\nSteps:  42%|████▏     | 421/1000 [03:45<04:50,  2.00it/s, loss=0.0231, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  42%|████▏     | 421/1000 [03:45<04:50,  2.00it/s, loss=0.0484, lr=0.0004]\nSteps:  42%|████▏     | 422/1000 [03:45<04:41,  2.05it/s, loss=0.0484, lr=0.0004]\na photo of my <s1><s2>\nSteps:  42%|████▏     | 422/1000 [03:45<04:41,  2.05it/s, loss=0.0283, lr=0.0004]\nSteps:  42%|████▏     | 423/1000 [03:46<05:08,  1.87it/s, loss=0.0283, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  42%|████▏     | 423/1000 [03:46<05:08,  1.87it/s, loss=0.00544, lr=0.0004]\nSteps:  42%|████▏     | 424/1000 [03:47<05:07,  1.87it/s, loss=0.00544, lr=0.0004]\na photo of one <s1><s2>\nSteps:  42%|████▏     | 424/1000 [03:47<05:07,  1.87it/s, loss=0.194, lr=0.0004]  \nSteps:  42%|████▎     | 425/1000 [03:47<05:24,  1.77it/s, loss=0.194, lr=0.0004]\na photo of my <s1><s2>\nSteps:  42%|████▎     | 425/1000 [03:47<05:24,  1.77it/s, loss=0.00996, lr=0.0004]\nSteps:  43%|████▎     | 426/1000 [03:48<05:12,  1.83it/s, loss=0.00996, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  43%|████▎     | 426/1000 [03:48<05:12,  1.83it/s, loss=0.0341, lr=0.0004] \nSteps:  43%|████▎     | 427/1000 [03:48<05:10,  1.84it/s, loss=0.0341, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  43%|████▎     | 427/1000 [03:48<05:10,  1.84it/s, loss=0.0334, lr=0.0004]\nSteps:  43%|████▎     | 428/1000 [03:49<05:04,  1.88it/s, loss=0.0334, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  43%|████▎     | 428/1000 [03:49<05:04,  1.88it/s, loss=0.0062, lr=0.0004]\nSteps:  43%|████▎     | 429/1000 [03:49<05:06,  1.86it/s, loss=0.0062, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  43%|████▎     | 429/1000 [03:49<05:06,  1.86it/s, loss=0.0396, lr=0.0004]\nSteps:  43%|████▎     | 430/1000 [03:50<05:30,  1.73it/s, loss=0.0396, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  43%|████▎     | 430/1000 [03:50<05:30,  1.73it/s, loss=0.0155, lr=0.0004]\nSteps:  43%|████▎     | 431/1000 [03:51<05:31,  1.71it/s, loss=0.0155, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  43%|████▎     | 431/1000 [03:51<05:31,  1.71it/s, loss=0.0243, lr=0.0004]\nSteps:  43%|████▎     | 432/1000 [03:51<05:18,  1.78it/s, loss=0.0243, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  43%|████▎     | 432/1000 [03:51<05:18,  1.78it/s, loss=0.112, lr=0.0004] \nSteps:  43%|████▎     | 433/1000 [03:52<05:08,  1.84it/s, loss=0.112, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  43%|████▎     | 433/1000 [03:52<05:08,  1.84it/s, loss=0.125, lr=0.0004]\nSteps:  43%|████▎     | 434/1000 [03:52<05:34,  1.69it/s, loss=0.125, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  43%|████▎     | 434/1000 [03:52<05:34,  1.69it/s, loss=0.00929, lr=0.0004]\nSteps:  44%|████▎     | 435/1000 [03:53<05:26,  1.73it/s, loss=0.00929, lr=0.0004]\na photo of the <s1><s2>\nSteps:  44%|████▎     | 435/1000 [03:53<05:26,  1.73it/s, loss=0.17, lr=0.0004]   \nSteps:  44%|████▎     | 436/1000 [03:53<05:15,  1.79it/s, loss=0.17, lr=0.0004]\na photo of one <s1><s2>\nSteps:  44%|████▎     | 436/1000 [03:53<05:15,  1.79it/s, loss=0.0108, lr=0.0004]\nSteps:  44%|████▎     | 437/1000 [03:54<04:58,  1.88it/s, loss=0.0108, lr=0.0004]\na photo of one <s1><s2>\nSteps:  44%|████▎     | 437/1000 [03:54<04:58,  1.88it/s, loss=0.0272, lr=0.0004]\nSteps:  44%|████▍     | 438/1000 [03:54<05:05,  1.84it/s, loss=0.0272, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  44%|████▍     | 438/1000 [03:54<05:05,  1.84it/s, loss=0.00467, lr=0.0004]\nSteps:  44%|████▍     | 439/1000 [03:55<05:14,  1.78it/s, loss=0.00467, lr=0.0004]\na photo of one <s1><s2>\nSteps:  44%|████▍     | 439/1000 [03:55<05:14,  1.78it/s, loss=0.0198, lr=0.0004] \nSteps:  44%|████▍     | 440/1000 [03:55<04:58,  1.88it/s, loss=0.0198, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  44%|████▍     | 440/1000 [03:55<04:58,  1.88it/s, loss=0.0457, lr=0.0004]\nSteps:  44%|████▍     | 441/1000 [03:56<04:46,  1.95it/s, loss=0.0457, lr=0.0004]\na photo of a <s1><s2>\nSteps:  44%|████▍     | 441/1000 [03:56<04:46,  1.95it/s, loss=0.0473, lr=0.0004]\nSteps:  44%|████▍     | 442/1000 [03:56<04:39,  2.00it/s, loss=0.0473, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  44%|████▍     | 442/1000 [03:56<04:39,  2.00it/s, loss=0.014, lr=0.0004] \nSteps:  44%|████▍     | 443/1000 [03:57<04:31,  2.05it/s, loss=0.014, lr=0.0004]\na photo of one <s1><s2>\nSteps:  44%|████▍     | 443/1000 [03:57<04:31,  2.05it/s, loss=0.507, lr=0.0004]\nSteps:  44%|████▍     | 444/1000 [03:57<04:27,  2.08it/s, loss=0.507, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  44%|████▍     | 444/1000 [03:57<04:27,  2.08it/s, loss=0.00644, lr=0.0004]\nSteps:  44%|████▍     | 445/1000 [03:58<04:21,  2.12it/s, loss=0.00644, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  44%|████▍     | 445/1000 [03:58<04:21,  2.12it/s, loss=0.0322, lr=0.0004] \nSteps:  45%|████▍     | 446/1000 [03:58<04:22,  2.11it/s, loss=0.0322, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  45%|████▍     | 446/1000 [03:58<04:22,  2.11it/s, loss=0.0063, lr=0.0004]\nSteps:  45%|████▍     | 447/1000 [03:59<04:38,  1.99it/s, loss=0.0063, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  45%|████▍     | 447/1000 [03:59<04:38,  1.99it/s, loss=0.00216, lr=0.0004]\nSteps:  45%|████▍     | 448/1000 [03:59<04:51,  1.89it/s, loss=0.00216, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  45%|████▍     | 448/1000 [03:59<04:51,  1.89it/s, loss=0.00319, lr=0.0004]\nSteps:  45%|████▍     | 449/1000 [04:00<04:36,  1.99it/s, loss=0.00319, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  45%|████▍     | 449/1000 [04:00<04:36,  1.99it/s, loss=0.158, lr=0.0004]  \nSteps:  45%|████▌     | 450/1000 [04:00<04:24,  2.08it/s, loss=0.158, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  45%|████▌     | 450/1000 [04:00<04:24,  2.08it/s, loss=0.121, lr=0.0004]\nSteps:  45%|████▌     | 451/1000 [04:01<04:39,  1.96it/s, loss=0.121, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  45%|████▌     | 451/1000 [04:01<04:39,  1.96it/s, loss=0.0142, lr=0.0004]\nSteps:  45%|████▌     | 452/1000 [04:01<04:33,  2.01it/s, loss=0.0142, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  45%|████▌     | 452/1000 [04:01<04:33,  2.01it/s, loss=0.0192, lr=0.0004]\nSteps:  45%|████▌     | 453/1000 [04:02<04:24,  2.06it/s, loss=0.0192, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  45%|████▌     | 453/1000 [04:02<04:24,  2.06it/s, loss=0.05, lr=0.0004]  \nSteps:  45%|████▌     | 454/1000 [04:02<04:38,  1.96it/s, loss=0.05, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  45%|████▌     | 454/1000 [04:02<04:38,  1.96it/s, loss=0.0239, lr=0.0004]\nSteps:  46%|████▌     | 455/1000 [04:03<04:29,  2.03it/s, loss=0.0239, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  46%|████▌     | 455/1000 [04:03<04:29,  2.03it/s, loss=0.107, lr=0.0004] \nSteps:  46%|████▌     | 456/1000 [04:03<04:16,  2.12it/s, loss=0.107, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  46%|████▌     | 456/1000 [04:03<04:16,  2.12it/s, loss=0.0374, lr=0.0004]\nSteps:  46%|████▌     | 457/1000 [04:04<04:25,  2.05it/s, loss=0.0374, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  46%|████▌     | 457/1000 [04:04<04:25,  2.05it/s, loss=0.00506, lr=0.0004]\nSteps:  46%|████▌     | 458/1000 [04:04<04:24,  2.05it/s, loss=0.00506, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  46%|████▌     | 458/1000 [04:04<04:24,  2.05it/s, loss=0.139, lr=0.0004]  \nSteps:  46%|████▌     | 459/1000 [04:05<04:46,  1.89it/s, loss=0.139, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  46%|████▌     | 459/1000 [04:05<04:46,  1.89it/s, loss=0.0127, lr=0.0004]\nSteps:  46%|████▌     | 460/1000 [04:06<05:10,  1.74it/s, loss=0.0127, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  46%|████▌     | 460/1000 [04:06<05:10,  1.74it/s, loss=0.00358, lr=0.0004]\nSteps:  46%|████▌     | 461/1000 [04:06<04:55,  1.82it/s, loss=0.00358, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  46%|████▌     | 461/1000 [04:06<04:55,  1.82it/s, loss=0.00526, lr=0.0004]\nSteps:  46%|████▌     | 462/1000 [04:07<04:47,  1.87it/s, loss=0.00526, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  46%|████▌     | 462/1000 [04:07<04:47,  1.87it/s, loss=0.00881, lr=0.0004]\nSteps:  46%|████▋     | 463/1000 [04:07<04:42,  1.90it/s, loss=0.00881, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  46%|████▋     | 463/1000 [04:07<04:42,  1.90it/s, loss=0.0628, lr=0.0004] \nSteps:  46%|████▋     | 464/1000 [04:08<04:40,  1.91it/s, loss=0.0628, lr=0.0004]\na photo of the <s1><s2>\nSteps:  46%|████▋     | 464/1000 [04:08<04:40,  1.91it/s, loss=0.0418, lr=0.0004]\nSteps:  46%|████▋     | 465/1000 [04:08<04:34,  1.95it/s, loss=0.0418, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  46%|████▋     | 465/1000 [04:08<04:34,  1.95it/s, loss=0.0215, lr=0.0004]\nSteps:  47%|████▋     | 466/1000 [04:09<04:27,  2.00it/s, loss=0.0215, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  47%|████▋     | 466/1000 [04:09<04:27,  2.00it/s, loss=0.304, lr=0.0004] \nSteps:  47%|████▋     | 467/1000 [04:09<04:44,  1.88it/s, loss=0.304, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  47%|████▋     | 467/1000 [04:09<04:44,  1.88it/s, loss=0.0113, lr=0.0004]\nSteps:  47%|████▋     | 468/1000 [04:10<04:54,  1.81it/s, loss=0.0113, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  47%|████▋     | 468/1000 [04:10<04:54,  1.81it/s, loss=0.0169, lr=0.0004]\nSteps:  47%|████▋     | 469/1000 [04:10<04:36,  1.92it/s, loss=0.0169, lr=0.0004]\na photo of the <s1><s2>\nSteps:  47%|████▋     | 469/1000 [04:10<04:36,  1.92it/s, loss=0.00531, lr=0.0004]\nSteps:  47%|████▋     | 470/1000 [04:11<04:29,  1.97it/s, loss=0.00531, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  47%|████▋     | 470/1000 [04:11<04:29,  1.97it/s, loss=0.112, lr=0.0004]  \nSteps:  47%|████▋     | 471/1000 [04:11<04:25,  1.99it/s, loss=0.112, lr=0.0004]\na photo of my <s1><s2>\nSteps:  47%|████▋     | 471/1000 [04:11<04:25,  1.99it/s, loss=0.0607, lr=0.0004]\nSteps:  47%|████▋     | 472/1000 [04:12<04:48,  1.83it/s, loss=0.0607, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  47%|████▋     | 472/1000 [04:12<04:48,  1.83it/s, loss=0.00386, lr=0.0004]\nSteps:  47%|████▋     | 473/1000 [04:12<05:09,  1.70it/s, loss=0.00386, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  47%|████▋     | 473/1000 [04:12<05:09,  1.70it/s, loss=0.00224, lr=0.0004]\nSteps:  47%|████▋     | 474/1000 [04:13<04:57,  1.77it/s, loss=0.00224, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  47%|████▋     | 474/1000 [04:13<04:57,  1.77it/s, loss=0.00729, lr=0.0004]\nSteps:  48%|████▊     | 475/1000 [04:13<04:43,  1.85it/s, loss=0.00729, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  48%|████▊     | 475/1000 [04:13<04:43,  1.85it/s, loss=0.0103, lr=0.0004] \nSteps:  48%|████▊     | 476/1000 [04:14<04:36,  1.89it/s, loss=0.0103, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  48%|████▊     | 476/1000 [04:14<04:36,  1.89it/s, loss=0.0293, lr=0.0004]\nSteps:  48%|████▊     | 477/1000 [04:15<04:41,  1.86it/s, loss=0.0293, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  48%|████▊     | 477/1000 [04:15<04:41,  1.86it/s, loss=0.0397, lr=0.0004]\nSteps:  48%|████▊     | 478/1000 [04:15<05:02,  1.72it/s, loss=0.0397, lr=0.0004]\na photo of a <s1><s2>\nSteps:  48%|████▊     | 478/1000 [04:15<05:02,  1.72it/s, loss=0.0216, lr=0.0004]\nSteps:  48%|████▊     | 479/1000 [04:16<04:55,  1.76it/s, loss=0.0216, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  48%|████▊     | 479/1000 [04:16<04:55,  1.76it/s, loss=0.0294, lr=0.0004]\nSteps:  48%|████▊     | 480/1000 [04:16<04:45,  1.82it/s, loss=0.0294, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  48%|████▊     | 480/1000 [04:16<04:45,  1.82it/s, loss=0.054, lr=0.0004] \nSteps:  48%|████▊     | 481/1000 [04:17<05:05,  1.70it/s, loss=0.054, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  48%|████▊     | 481/1000 [04:17<05:05,  1.70it/s, loss=0.0308, lr=0.0004]\nSteps:  48%|████▊     | 482/1000 [04:17<04:51,  1.77it/s, loss=0.0308, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  48%|████▊     | 482/1000 [04:17<04:51,  1.77it/s, loss=0.127, lr=0.0004] \nSteps:  48%|████▊     | 483/1000 [04:18<04:45,  1.81it/s, loss=0.127, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  48%|████▊     | 483/1000 [04:18<04:45,  1.81it/s, loss=0.0576, lr=0.0004]\nSteps:  48%|████▊     | 484/1000 [04:18<04:40,  1.84it/s, loss=0.0576, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  48%|████▊     | 484/1000 [04:18<04:40,  1.84it/s, loss=0.0314, lr=0.0004]\nSteps:  48%|████▊     | 485/1000 [04:19<04:30,  1.91it/s, loss=0.0314, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  48%|████▊     | 485/1000 [04:19<04:30,  1.91it/s, loss=0.0111, lr=0.0004]\nSteps:  49%|████▊     | 486/1000 [04:19<04:32,  1.89it/s, loss=0.0111, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  49%|████▊     | 486/1000 [04:19<04:32,  1.89it/s, loss=0.00574, lr=0.0004]\nSteps:  49%|████▊     | 487/1000 [04:20<04:22,  1.95it/s, loss=0.00574, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  49%|████▊     | 487/1000 [04:20<04:22,  1.95it/s, loss=0.00852, lr=0.0004]\nSteps:  49%|████▉     | 488/1000 [04:21<04:47,  1.78it/s, loss=0.00852, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  49%|████▉     | 488/1000 [04:21<04:47,  1.78it/s, loss=0.0133, lr=0.0004] \nSteps:  49%|████▉     | 489/1000 [04:21<04:39,  1.83it/s, loss=0.0133, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  49%|████▉     | 489/1000 [04:21<04:39,  1.83it/s, loss=0.0182, lr=0.0004]\nSteps:  49%|████▉     | 490/1000 [04:22<05:00,  1.70it/s, loss=0.0182, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  49%|████▉     | 490/1000 [04:22<05:00,  1.70it/s, loss=0.0141, lr=0.0004]\nSteps:  49%|████▉     | 491/1000 [04:22<04:50,  1.75it/s, loss=0.0141, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  49%|████▉     | 491/1000 [04:22<04:50,  1.75it/s, loss=0.241, lr=0.0004] \nSteps:  49%|████▉     | 492/1000 [04:23<04:48,  1.76it/s, loss=0.241, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  49%|████▉     | 492/1000 [04:23<04:48,  1.76it/s, loss=0.066, lr=0.0004]\nSteps:  49%|████▉     | 493/1000 [04:23<04:35,  1.84it/s, loss=0.066, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  49%|████▉     | 493/1000 [04:23<04:35,  1.84it/s, loss=0.0175, lr=0.0004]\nSteps:  49%|████▉     | 494/1000 [04:24<04:47,  1.76it/s, loss=0.0175, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  49%|████▉     | 494/1000 [04:24<04:47,  1.76it/s, loss=0.0145, lr=0.0004]\nSteps:  50%|████▉     | 495/1000 [04:25<04:38,  1.82it/s, loss=0.0145, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  50%|████▉     | 495/1000 [04:25<04:38,  1.82it/s, loss=0.00876, lr=0.0004]\nSteps:  50%|████▉     | 496/1000 [04:25<04:32,  1.85it/s, loss=0.00876, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  50%|████▉     | 496/1000 [04:25<04:32,  1.85it/s, loss=0.00588, lr=0.0004]\nSteps:  50%|████▉     | 497/1000 [04:26<04:47,  1.75it/s, loss=0.00588, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  50%|████▉     | 497/1000 [04:26<04:47,  1.75it/s, loss=0.00766, lr=0.0004]\nSteps:  50%|████▉     | 498/1000 [04:26<04:59,  1.67it/s, loss=0.00766, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  50%|████▉     | 498/1000 [04:26<04:59,  1.67it/s, loss=0.0196, lr=0.0004] \nSteps:  50%|████▉     | 499/1000 [04:27<04:48,  1.74it/s, loss=0.0196, lr=0.0004]\na photo of one <s1><s2>\nSteps:  50%|████▉     | 499/1000 [04:27<04:48,  1.74it/s, loss=0.0352, lr=0.0004]\nSteps:  50%|█████     | 500/1000 [04:27<04:36,  1.81it/s, loss=0.0352, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  50%|█████     | 500/1000 [04:27<04:36,  1.81it/s, loss=0.00301, lr=0.0004]\nSteps:  50%|█████     | 501/1000 [04:28<04:31,  1.84it/s, loss=0.00301, lr=0.0004]\na photo of the <s1><s2>\nSteps:  50%|█████     | 501/1000 [04:28<04:31,  1.84it/s, loss=0.047, lr=0.0004]  \nSteps:  50%|█████     | 502/1000 [04:29<04:51,  1.71it/s, loss=0.047, lr=0.0004]\na photo of the <s1><s2>\nSteps:  50%|█████     | 502/1000 [04:29<04:51,  1.71it/s, loss=0.00248, lr=0.0004]\nSteps:  50%|█████     | 503/1000 [04:29<04:33,  1.82it/s, loss=0.00248, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  50%|█████     | 503/1000 [04:29<04:33,  1.82it/s, loss=0.0263, lr=0.0004] \nSteps:  50%|█████     | 504/1000 [04:30<04:20,  1.91it/s, loss=0.0263, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  50%|█████     | 504/1000 [04:30<04:20,  1.91it/s, loss=0.00569, lr=0.0004]\nSteps:  50%|█████     | 505/1000 [04:30<04:20,  1.90it/s, loss=0.00569, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  50%|█████     | 505/1000 [04:30<04:20,  1.90it/s, loss=0.0337, lr=0.0004] \nSteps:  51%|█████     | 506/1000 [04:31<04:21,  1.89it/s, loss=0.0337, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  51%|█████     | 506/1000 [04:31<04:21,  1.89it/s, loss=0.00614, lr=0.0004]\nSteps:  51%|█████     | 507/1000 [04:31<04:33,  1.80it/s, loss=0.00614, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  51%|█████     | 507/1000 [04:31<04:33,  1.80it/s, loss=0.0168, lr=0.0004] \nSteps:  51%|█████     | 508/1000 [04:32<04:23,  1.87it/s, loss=0.0168, lr=0.0004]\na photo of a <s1><s2>\nSteps:  51%|█████     | 508/1000 [04:32<04:23,  1.87it/s, loss=0.0935, lr=0.0004]\nSteps:  51%|█████     | 509/1000 [04:32<04:18,  1.90it/s, loss=0.0935, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  51%|█████     | 509/1000 [04:32<04:18,  1.90it/s, loss=0.0145, lr=0.0004]\nSteps:  51%|█████     | 510/1000 [04:33<04:38,  1.76it/s, loss=0.0145, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  51%|█████     | 510/1000 [04:33<04:38,  1.76it/s, loss=0.0212, lr=0.0004]\nSteps:  51%|█████     | 511/1000 [04:33<04:24,  1.85it/s, loss=0.0212, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  51%|█████     | 511/1000 [04:33<04:24,  1.85it/s, loss=0.111, lr=0.0004] \nSteps:  51%|█████     | 512/1000 [04:34<04:16,  1.90it/s, loss=0.111, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  51%|█████     | 512/1000 [04:34<04:16,  1.90it/s, loss=0.00765, lr=0.0004]\nSteps:  51%|█████▏    | 513/1000 [04:34<04:11,  1.94it/s, loss=0.00765, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  51%|█████▏    | 513/1000 [04:34<04:11,  1.94it/s, loss=0.0594, lr=0.0004] \nSteps:  51%|█████▏    | 514/1000 [04:35<04:15,  1.90it/s, loss=0.0594, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  51%|█████▏    | 514/1000 [04:35<04:15,  1.90it/s, loss=0.0187, lr=0.0004]\nSteps:  52%|█████▏    | 515/1000 [04:36<04:32,  1.78it/s, loss=0.0187, lr=0.0004]\na photo of one <s1><s2>\nSteps:  52%|█████▏    | 515/1000 [04:36<04:32,  1.78it/s, loss=0.00149, lr=0.0004]\nSteps:  52%|█████▏    | 516/1000 [04:36<04:26,  1.82it/s, loss=0.00149, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  52%|█████▏    | 516/1000 [04:36<04:26,  1.82it/s, loss=0.088, lr=0.0004]  \nSteps:  52%|█████▏    | 517/1000 [04:37<04:33,  1.77it/s, loss=0.088, lr=0.0004]\na photo of a <s1><s2>\nSteps:  52%|█████▏    | 517/1000 [04:37<04:33,  1.77it/s, loss=0.0053, lr=0.0004]\nSteps:  52%|█████▏    | 518/1000 [04:37<04:18,  1.86it/s, loss=0.0053, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  52%|█████▏    | 518/1000 [04:37<04:18,  1.86it/s, loss=0.0139, lr=0.0004]\nSteps:  52%|█████▏    | 519/1000 [04:38<04:07,  1.95it/s, loss=0.0139, lr=0.0004]\na photo of the <s1><s2>\nSteps:  52%|█████▏    | 519/1000 [04:38<04:07,  1.95it/s, loss=0.00697, lr=0.0004]\nSteps:  52%|█████▏    | 520/1000 [04:38<03:57,  2.02it/s, loss=0.00697, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  52%|█████▏    | 520/1000 [04:38<03:57,  2.02it/s, loss=0.00876, lr=0.0004]\nSteps:  52%|█████▏    | 521/1000 [04:39<04:07,  1.94it/s, loss=0.00876, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  52%|█████▏    | 521/1000 [04:39<04:07,  1.94it/s, loss=0.00752, lr=0.0004]\nSteps:  52%|█████▏    | 522/1000 [04:39<03:55,  2.03it/s, loss=0.00752, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  52%|█████▏    | 522/1000 [04:39<03:55,  2.03it/s, loss=0.0631, lr=0.0004] \nSteps:  52%|█████▏    | 523/1000 [04:40<04:07,  1.93it/s, loss=0.0631, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  52%|█████▏    | 523/1000 [04:40<04:07,  1.93it/s, loss=0.0316, lr=0.0004]\nSteps:  52%|█████▏    | 524/1000 [04:40<03:54,  2.03it/s, loss=0.0316, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  52%|█████▏    | 524/1000 [04:40<03:54,  2.03it/s, loss=0.0734, lr=0.0004]\nSteps:  52%|█████▎    | 525/1000 [04:41<03:51,  2.05it/s, loss=0.0734, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  52%|█████▎    | 525/1000 [04:41<03:51,  2.05it/s, loss=0.00221, lr=0.0004]\nSteps:  53%|█████▎    | 526/1000 [04:41<03:43,  2.12it/s, loss=0.00221, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  53%|█████▎    | 526/1000 [04:41<03:43,  2.12it/s, loss=0.00717, lr=0.0004]\nSteps:  53%|█████▎    | 527/1000 [04:42<04:00,  1.97it/s, loss=0.00717, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  53%|█████▎    | 527/1000 [04:42<04:00,  1.97it/s, loss=0.00961, lr=0.0004]\nSteps:  53%|█████▎    | 528/1000 [04:42<03:48,  2.07it/s, loss=0.00961, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  53%|█████▎    | 528/1000 [04:42<03:48,  2.07it/s, loss=0.134, lr=0.0004]  \nSteps:  53%|█████▎    | 529/1000 [04:42<03:40,  2.14it/s, loss=0.134, lr=0.0004]\na photo of one <s1><s2>\nSteps:  53%|█████▎    | 529/1000 [04:42<03:40,  2.14it/s, loss=0.0636, lr=0.0004]\nSteps:  53%|█████▎    | 530/1000 [04:43<03:39,  2.15it/s, loss=0.0636, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  53%|█████▎    | 530/1000 [04:43<03:39,  2.15it/s, loss=0.0567, lr=0.0004]\nSteps:  53%|█████▎    | 531/1000 [04:43<03:50,  2.03it/s, loss=0.0567, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  53%|█████▎    | 531/1000 [04:43<03:50,  2.03it/s, loss=0.0103, lr=0.0004]\nSteps:  53%|█████▎    | 532/1000 [04:44<03:39,  2.13it/s, loss=0.0103, lr=0.0004]\na photo of the <s1><s2>\nSteps:  53%|█████▎    | 532/1000 [04:44<03:39,  2.13it/s, loss=0.00932, lr=0.0004]\nSteps:  53%|█████▎    | 533/1000 [04:44<03:33,  2.19it/s, loss=0.00932, lr=0.0004]\na photo of a <s1><s2>\nSteps:  53%|█████▎    | 533/1000 [04:44<03:33,  2.19it/s, loss=0.258, lr=0.0004]  \nSteps:  53%|█████▎    | 534/1000 [04:45<03:28,  2.23it/s, loss=0.258, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  53%|█████▎    | 534/1000 [04:45<03:28,  2.23it/s, loss=0.102, lr=0.0004]\nSteps:  54%|█████▎    | 535/1000 [04:45<03:25,  2.26it/s, loss=0.102, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  54%|█████▎    | 535/1000 [04:45<03:25,  2.26it/s, loss=0.0132, lr=0.0004]\nSteps:  54%|█████▎    | 536/1000 [04:46<03:27,  2.23it/s, loss=0.0132, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  54%|█████▎    | 536/1000 [04:46<03:27,  2.23it/s, loss=0.0229, lr=0.0004]\nSteps:  54%|█████▎    | 537/1000 [04:46<03:48,  2.03it/s, loss=0.0229, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  54%|█████▎    | 537/1000 [04:46<03:48,  2.03it/s, loss=0.00241, lr=0.0004]\nSteps:  54%|█████▍    | 538/1000 [04:47<04:02,  1.90it/s, loss=0.00241, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  54%|█████▍    | 538/1000 [04:47<04:02,  1.90it/s, loss=0.0204, lr=0.0004] \nSteps:  54%|█████▍    | 539/1000 [04:47<03:49,  2.01it/s, loss=0.0204, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  54%|█████▍    | 539/1000 [04:47<03:49,  2.01it/s, loss=0.0651, lr=0.0004]\nSteps:  54%|█████▍    | 540/1000 [04:48<03:40,  2.09it/s, loss=0.0651, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  54%|█████▍    | 540/1000 [04:48<03:40,  2.09it/s, loss=0.0206, lr=0.0004]\nSteps:  54%|█████▍    | 541/1000 [04:48<03:35,  2.13it/s, loss=0.0206, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  54%|█████▍    | 541/1000 [04:48<03:35,  2.13it/s, loss=0.00997, lr=0.0004]\nSteps:  54%|█████▍    | 542/1000 [04:49<03:55,  1.94it/s, loss=0.00997, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  54%|█████▍    | 542/1000 [04:49<03:55,  1.94it/s, loss=0.00252, lr=0.0004]\nSteps:  54%|█████▍    | 543/1000 [04:49<03:45,  2.02it/s, loss=0.00252, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  54%|█████▍    | 543/1000 [04:49<03:45,  2.02it/s, loss=0.0867, lr=0.0004] \nSteps:  54%|█████▍    | 544/1000 [04:50<03:46,  2.01it/s, loss=0.0867, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  54%|█████▍    | 544/1000 [04:50<03:46,  2.01it/s, loss=0.00347, lr=0.0004]\nSteps:  55%|█████▍    | 545/1000 [04:50<03:38,  2.09it/s, loss=0.00347, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  55%|█████▍    | 545/1000 [04:50<03:38,  2.09it/s, loss=0.0224, lr=0.0004] \nSteps:  55%|█████▍    | 546/1000 [04:51<03:55,  1.92it/s, loss=0.0224, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  55%|█████▍    | 546/1000 [04:51<03:55,  1.92it/s, loss=0.00558, lr=0.0004]\nSteps:  55%|█████▍    | 547/1000 [04:51<03:51,  1.96it/s, loss=0.00558, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  55%|█████▍    | 547/1000 [04:51<03:51,  1.96it/s, loss=0.0188, lr=0.0004] \nSteps:  55%|█████▍    | 548/1000 [04:52<03:46,  2.00it/s, loss=0.0188, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  55%|█████▍    | 548/1000 [04:52<03:46,  2.00it/s, loss=0.0191, lr=0.0004]\nSteps:  55%|█████▍    | 549/1000 [04:52<03:40,  2.04it/s, loss=0.0191, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  55%|█████▍    | 549/1000 [04:52<03:40,  2.04it/s, loss=0.123, lr=0.0004] \nSteps:  55%|█████▌    | 550/1000 [04:53<04:02,  1.86it/s, loss=0.123, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  55%|█████▌    | 550/1000 [04:53<04:02,  1.86it/s, loss=0.00172, lr=0.0004]\nSteps:  55%|█████▌    | 551/1000 [04:53<03:51,  1.94it/s, loss=0.00172, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  55%|█████▌    | 551/1000 [04:53<03:51,  1.94it/s, loss=0.0437, lr=0.0004] \nSteps:  55%|█████▌    | 552/1000 [04:54<04:04,  1.83it/s, loss=0.0437, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  55%|█████▌    | 552/1000 [04:54<04:04,  1.83it/s, loss=0.0439, lr=0.0004]\nSteps:  55%|█████▌    | 553/1000 [04:54<03:55,  1.90it/s, loss=0.0439, lr=0.0004]\na photo of a <s1><s2>\nSteps:  55%|█████▌    | 553/1000 [04:54<03:55,  1.90it/s, loss=0.122, lr=0.0004] \nSteps:  55%|█████▌    | 554/1000 [04:55<03:52,  1.92it/s, loss=0.122, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  55%|█████▌    | 554/1000 [04:55<03:52,  1.92it/s, loss=0.0111, lr=0.0004]\nSteps:  56%|█████▌    | 555/1000 [04:55<03:41,  2.01it/s, loss=0.0111, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  56%|█████▌    | 555/1000 [04:55<03:41,  2.01it/s, loss=0.00881, lr=0.0004]\nSteps:  56%|█████▌    | 556/1000 [04:56<03:36,  2.05it/s, loss=0.00881, lr=0.0004]\na photo of a <s1><s2>\nSteps:  56%|█████▌    | 556/1000 [04:56<03:36,  2.05it/s, loss=0.0103, lr=0.0004] \nSteps:  56%|█████▌    | 557/1000 [04:56<03:33,  2.07it/s, loss=0.0103, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  56%|█████▌    | 557/1000 [04:56<03:33,  2.07it/s, loss=0.117, lr=0.0004] \nSteps:  56%|█████▌    | 558/1000 [04:57<03:53,  1.89it/s, loss=0.117, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  56%|█████▌    | 558/1000 [04:57<03:53,  1.89it/s, loss=0.015, lr=0.0004]\nSteps:  56%|█████▌    | 559/1000 [04:57<03:49,  1.92it/s, loss=0.015, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  56%|█████▌    | 559/1000 [04:57<03:49,  1.92it/s, loss=0.0176, lr=0.0004]\nSteps:  56%|█████▌    | 560/1000 [04:58<04:08,  1.77it/s, loss=0.0176, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  56%|█████▌    | 560/1000 [04:58<04:08,  1.77it/s, loss=0.00129, lr=0.0004]\nSteps:  56%|█████▌    | 561/1000 [04:59<04:02,  1.81it/s, loss=0.00129, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  56%|█████▌    | 561/1000 [04:59<04:02,  1.81it/s, loss=0.0116, lr=0.0004] \nSteps:  56%|█████▌    | 562/1000 [04:59<04:15,  1.72it/s, loss=0.0116, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  56%|█████▌    | 562/1000 [04:59<04:15,  1.72it/s, loss=0.00229, lr=0.0004]\nSteps:  56%|█████▋    | 563/1000 [05:00<04:00,  1.82it/s, loss=0.00229, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  56%|█████▋    | 563/1000 [05:00<04:00,  1.82it/s, loss=0.0165, lr=0.0004] \nSteps:  56%|█████▋    | 564/1000 [05:00<03:45,  1.93it/s, loss=0.0165, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  56%|█████▋    | 564/1000 [05:00<03:45,  1.93it/s, loss=0.187, lr=0.0004] \nSteps:  56%|█████▋    | 565/1000 [05:01<04:00,  1.81it/s, loss=0.187, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  56%|█████▋    | 565/1000 [05:01<04:00,  1.81it/s, loss=0.00343, lr=0.0004]\nSteps:  57%|█████▋    | 566/1000 [05:01<03:47,  1.91it/s, loss=0.00343, lr=0.0004]\na photo of my <s1><s2>\nSteps:  57%|█████▋    | 566/1000 [05:01<03:47,  1.91it/s, loss=0.195, lr=0.0004]  \nSteps:  57%|█████▋    | 567/1000 [05:02<03:40,  1.96it/s, loss=0.195, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  57%|█████▋    | 567/1000 [05:02<03:40,  1.96it/s, loss=0.0175, lr=0.0004]\nSteps:  57%|█████▋    | 568/1000 [05:02<03:56,  1.83it/s, loss=0.0175, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  57%|█████▋    | 568/1000 [05:02<03:56,  1.83it/s, loss=0.0216, lr=0.0004]\nSteps:  57%|█████▋    | 569/1000 [05:03<03:48,  1.89it/s, loss=0.0216, lr=0.0004]\na photo of my <s1><s2>\nSteps:  57%|█████▋    | 569/1000 [05:03<03:48,  1.89it/s, loss=0.0106, lr=0.0004]\nSteps:  57%|█████▋    | 570/1000 [05:03<04:01,  1.78it/s, loss=0.0106, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  57%|█████▋    | 570/1000 [05:03<04:01,  1.78it/s, loss=0.00561, lr=0.0004]\nSteps:  57%|█████▋    | 571/1000 [05:04<03:48,  1.88it/s, loss=0.00561, lr=0.0004]\na photo of my <s1><s2>\nSteps:  57%|█████▋    | 571/1000 [05:04<03:48,  1.88it/s, loss=0.152, lr=0.0004]  \nSteps:  57%|█████▋    | 572/1000 [05:04<03:43,  1.91it/s, loss=0.152, lr=0.0004]\na photo of a <s1><s2>\nSteps:  57%|█████▋    | 572/1000 [05:04<03:43,  1.91it/s, loss=0.0121, lr=0.0004]\nSteps:  57%|█████▋    | 573/1000 [05:05<03:40,  1.93it/s, loss=0.0121, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  57%|█████▋    | 573/1000 [05:05<03:40,  1.93it/s, loss=0.00385, lr=0.0004]\nSteps:  57%|█████▋    | 574/1000 [05:05<03:34,  1.99it/s, loss=0.00385, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  57%|█████▋    | 574/1000 [05:05<03:34,  1.99it/s, loss=0.00934, lr=0.0004]\nSteps:  57%|█████▊    | 575/1000 [05:06<03:30,  2.02it/s, loss=0.00934, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  57%|█████▊    | 575/1000 [05:06<03:30,  2.02it/s, loss=0.0491, lr=0.0004] \nSteps:  58%|█████▊    | 576/1000 [05:06<03:24,  2.07it/s, loss=0.0491, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  58%|█████▊    | 576/1000 [05:06<03:24,  2.07it/s, loss=0.00732, lr=0.0004]\nSteps:  58%|█████▊    | 577/1000 [05:07<03:23,  2.08it/s, loss=0.00732, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  58%|█████▊    | 577/1000 [05:07<03:23,  2.08it/s, loss=0.349, lr=0.0004]  \nSteps:  58%|█████▊    | 578/1000 [05:07<03:29,  2.01it/s, loss=0.349, lr=0.0004]\na photo of the <s1><s2>\nSteps:  58%|█████▊    | 578/1000 [05:07<03:29,  2.01it/s, loss=0.0651, lr=0.0004]\nSteps:  58%|█████▊    | 579/1000 [05:08<03:44,  1.88it/s, loss=0.0651, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  58%|█████▊    | 579/1000 [05:08<03:44,  1.88it/s, loss=0.00626, lr=0.0004]\nSteps:  58%|█████▊    | 580/1000 [05:08<03:35,  1.94it/s, loss=0.00626, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  58%|█████▊    | 580/1000 [05:08<03:35,  1.94it/s, loss=0.00956, lr=0.0004]\nSteps:  58%|█████▊    | 581/1000 [05:09<03:52,  1.80it/s, loss=0.00956, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  58%|█████▊    | 581/1000 [05:09<03:52,  1.80it/s, loss=0.043, lr=0.0004]  \nSteps:  58%|█████▊    | 582/1000 [05:10<04:04,  1.71it/s, loss=0.043, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  58%|█████▊    | 582/1000 [05:10<04:04,  1.71it/s, loss=0.075, lr=0.0004]\nSteps:  58%|█████▊    | 583/1000 [05:10<03:51,  1.80it/s, loss=0.075, lr=0.0004]\na photo of a <s1><s2>\nSteps:  58%|█████▊    | 583/1000 [05:10<03:51,  1.80it/s, loss=0.0153, lr=0.0004]\nSteps:  58%|█████▊    | 584/1000 [05:11<03:43,  1.86it/s, loss=0.0153, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  58%|█████▊    | 584/1000 [05:11<03:43,  1.86it/s, loss=0.0505, lr=0.0004]\nSteps:  58%|█████▊    | 585/1000 [05:11<03:34,  1.93it/s, loss=0.0505, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  58%|█████▊    | 585/1000 [05:11<03:34,  1.93it/s, loss=0.108, lr=0.0004] \nSteps:  59%|█████▊    | 586/1000 [05:12<03:49,  1.80it/s, loss=0.108, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  59%|█████▊    | 586/1000 [05:12<03:49,  1.80it/s, loss=0.00223, lr=0.0004]\nSteps:  59%|█████▊    | 587/1000 [05:12<03:42,  1.85it/s, loss=0.00223, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  59%|█████▊    | 587/1000 [05:12<03:42,  1.85it/s, loss=0.0296, lr=0.0004] \nSteps:  59%|█████▉    | 588/1000 [05:13<03:35,  1.91it/s, loss=0.0296, lr=0.0004]\na photo of my <s1><s2>\nSteps:  59%|█████▉    | 588/1000 [05:13<03:35,  1.91it/s, loss=0.00483, lr=0.0004]\nSteps:  59%|█████▉    | 589/1000 [05:13<03:33,  1.93it/s, loss=0.00483, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  59%|█████▉    | 589/1000 [05:13<03:33,  1.93it/s, loss=0.102, lr=0.0004]  \nSteps:  59%|█████▉    | 590/1000 [05:14<03:35,  1.90it/s, loss=0.102, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  59%|█████▉    | 590/1000 [05:14<03:35,  1.90it/s, loss=0.0104, lr=0.0004]\nSteps:  59%|█████▉    | 591/1000 [05:15<03:48,  1.79it/s, loss=0.0104, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  59%|█████▉    | 591/1000 [05:15<03:48,  1.79it/s, loss=0.00366, lr=0.0004]\nSteps:  59%|█████▉    | 592/1000 [05:15<03:40,  1.85it/s, loss=0.00366, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  59%|█████▉    | 592/1000 [05:15<03:40,  1.85it/s, loss=0.167, lr=0.0004]  \nSteps:  59%|█████▉    | 593/1000 [05:16<03:33,  1.91it/s, loss=0.167, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  59%|█████▉    | 593/1000 [05:16<03:33,  1.91it/s, loss=0.0103, lr=0.0004]\nSteps:  59%|█████▉    | 594/1000 [05:16<03:45,  1.80it/s, loss=0.0103, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  59%|█████▉    | 594/1000 [05:16<03:45,  1.80it/s, loss=0.00402, lr=0.0004]\nSteps:  60%|█████▉    | 595/1000 [05:17<03:32,  1.90it/s, loss=0.00402, lr=0.0004]\na photo of the <s1><s2>\nSteps:  60%|█████▉    | 595/1000 [05:17<03:32,  1.90it/s, loss=0.0458, lr=0.0004] \nSteps:  60%|█████▉    | 596/1000 [05:17<03:47,  1.78it/s, loss=0.0458, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  60%|█████▉    | 596/1000 [05:17<03:47,  1.78it/s, loss=0.00715, lr=0.0004]\nSteps:  60%|█████▉    | 597/1000 [05:18<03:34,  1.87it/s, loss=0.00715, lr=0.0004]\na photo of the <s1><s2>\nSteps:  60%|█████▉    | 597/1000 [05:18<03:34,  1.87it/s, loss=0.0484, lr=0.0004] \nSteps:  60%|█████▉    | 598/1000 [05:18<03:45,  1.78it/s, loss=0.0484, lr=0.0004]\na photo of a <s1><s2>\nSteps:  60%|█████▉    | 598/1000 [05:18<03:45,  1.78it/s, loss=0.0299, lr=0.0004]\nSteps:  60%|█████▉    | 599/1000 [05:19<03:33,  1.88it/s, loss=0.0299, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  60%|█████▉    | 599/1000 [05:19<03:33,  1.88it/s, loss=0.0392, lr=0.0004]\nSteps:  60%|██████    | 600/1000 [05:19<03:23,  1.97it/s, loss=0.0392, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  60%|██████    | 600/1000 [05:19<03:23,  1.97it/s, loss=0.0218, lr=0.0004]\nSteps:  60%|██████    | 601/1000 [05:20<03:19,  2.00it/s, loss=0.0218, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  60%|██████    | 601/1000 [05:20<03:19,  2.00it/s, loss=0.027, lr=0.0004] \nSteps:  60%|██████    | 602/1000 [05:20<03:23,  1.96it/s, loss=0.027, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  60%|██████    | 602/1000 [05:20<03:23,  1.96it/s, loss=0.0103, lr=0.0004]\nSteps:  60%|██████    | 603/1000 [05:21<03:28,  1.91it/s, loss=0.0103, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  60%|██████    | 603/1000 [05:21<03:28,  1.91it/s, loss=0.0483, lr=0.0004]\nSteps:  60%|██████    | 604/1000 [05:21<03:24,  1.94it/s, loss=0.0483, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  60%|██████    | 604/1000 [05:21<03:24,  1.94it/s, loss=0.00464, lr=0.0004]\nSteps:  60%|██████    | 605/1000 [05:22<03:19,  1.98it/s, loss=0.00464, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  60%|██████    | 605/1000 [05:22<03:19,  1.98it/s, loss=0.0178, lr=0.0004] \nSteps:  61%|██████    | 606/1000 [05:22<03:13,  2.04it/s, loss=0.0178, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  61%|██████    | 606/1000 [05:22<03:13,  2.04it/s, loss=0.322, lr=0.0004] \nSteps:  61%|██████    | 607/1000 [05:23<03:30,  1.87it/s, loss=0.322, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  61%|██████    | 607/1000 [05:23<03:30,  1.87it/s, loss=0.0306, lr=0.0004]\nSteps:  61%|██████    | 608/1000 [05:24<03:39,  1.78it/s, loss=0.0306, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  61%|██████    | 608/1000 [05:24<03:39,  1.78it/s, loss=0.00946, lr=0.0004]\nSteps:  61%|██████    | 609/1000 [05:24<03:34,  1.82it/s, loss=0.00946, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  61%|██████    | 609/1000 [05:24<03:34,  1.82it/s, loss=0.092, lr=0.0004]  \nSteps:  61%|██████    | 610/1000 [05:25<03:25,  1.90it/s, loss=0.092, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  61%|██████    | 610/1000 [05:25<03:25,  1.90it/s, loss=0.00431, lr=0.0004]\nSteps:  61%|██████    | 611/1000 [05:25<03:24,  1.90it/s, loss=0.00431, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  61%|██████    | 611/1000 [05:25<03:24,  1.90it/s, loss=0.0723, lr=0.0004] \nSteps:  61%|██████    | 612/1000 [05:26<03:33,  1.82it/s, loss=0.0723, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  61%|██████    | 612/1000 [05:26<03:33,  1.82it/s, loss=0.0129, lr=0.0004]\nSteps:  61%|██████▏   | 613/1000 [05:26<03:20,  1.93it/s, loss=0.0129, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  61%|██████▏   | 613/1000 [05:26<03:20,  1.93it/s, loss=0.0133, lr=0.0004]\nSteps:  61%|██████▏   | 614/1000 [05:27<03:31,  1.82it/s, loss=0.0133, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  61%|██████▏   | 614/1000 [05:27<03:31,  1.82it/s, loss=0.0218, lr=0.0004]\nSteps:  62%|██████▏   | 615/1000 [05:27<03:22,  1.90it/s, loss=0.0218, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  62%|██████▏   | 615/1000 [05:27<03:22,  1.90it/s, loss=0.0287, lr=0.0004]\nSteps:  62%|██████▏   | 616/1000 [05:28<03:13,  1.98it/s, loss=0.0287, lr=0.0004]\na photo of the <s1><s2>\nSteps:  62%|██████▏   | 616/1000 [05:28<03:13,  1.98it/s, loss=0.063, lr=0.0004] \nSteps:  62%|██████▏   | 617/1000 [05:28<03:12,  1.99it/s, loss=0.063, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  62%|██████▏   | 617/1000 [05:28<03:12,  1.99it/s, loss=0.0111, lr=0.0004]\nSteps:  62%|██████▏   | 618/1000 [05:29<03:13,  1.97it/s, loss=0.0111, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  62%|██████▏   | 618/1000 [05:29<03:13,  1.97it/s, loss=0.00378, lr=0.0004]\nSteps:  62%|██████▏   | 619/1000 [05:29<03:23,  1.87it/s, loss=0.00378, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  62%|██████▏   | 619/1000 [05:29<03:23,  1.87it/s, loss=0.0578, lr=0.0004] \nSteps:  62%|██████▏   | 620/1000 [05:30<03:31,  1.80it/s, loss=0.0578, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  62%|██████▏   | 620/1000 [05:30<03:31,  1.80it/s, loss=0.00292, lr=0.0004]\nSteps:  62%|██████▏   | 621/1000 [05:30<03:20,  1.89it/s, loss=0.00292, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  62%|██████▏   | 621/1000 [05:30<03:20,  1.89it/s, loss=0.0916, lr=0.0004] \nSteps:  62%|██████▏   | 622/1000 [05:31<03:16,  1.92it/s, loss=0.0916, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  62%|██████▏   | 622/1000 [05:31<03:16,  1.92it/s, loss=0.0175, lr=0.0004]\nSteps:  62%|██████▏   | 623/1000 [05:31<03:07,  2.01it/s, loss=0.0175, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  62%|██████▏   | 623/1000 [05:31<03:07,  2.01it/s, loss=0.054, lr=0.0004] \nSteps:  62%|██████▏   | 624/1000 [05:32<03:22,  1.85it/s, loss=0.054, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  62%|██████▏   | 624/1000 [05:32<03:22,  1.85it/s, loss=0.0205, lr=0.0004]\nSteps:  62%|██████▎   | 625/1000 [05:32<03:14,  1.93it/s, loss=0.0205, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  62%|██████▎   | 625/1000 [05:32<03:14,  1.93it/s, loss=0.0148, lr=0.0004]\nSteps:  63%|██████▎   | 626/1000 [05:33<03:09,  1.97it/s, loss=0.0148, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  63%|██████▎   | 626/1000 [05:33<03:09,  1.97it/s, loss=0.0627, lr=0.0004]\nSteps:  63%|██████▎   | 627/1000 [05:33<03:05,  2.01it/s, loss=0.0627, lr=0.0004]\na photo of a <s1><s2>\nSteps:  63%|██████▎   | 627/1000 [05:33<03:05,  2.01it/s, loss=0.386, lr=0.0004] \nSteps:  63%|██████▎   | 628/1000 [05:34<03:24,  1.82it/s, loss=0.386, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  63%|██████▎   | 628/1000 [05:34<03:24,  1.82it/s, loss=0.0151, lr=0.0004]\nSteps:  63%|██████▎   | 629/1000 [05:34<03:14,  1.91it/s, loss=0.0151, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  63%|██████▎   | 629/1000 [05:34<03:14,  1.91it/s, loss=0.0123, lr=0.0004]\nSteps:  63%|██████▎   | 630/1000 [05:35<03:09,  1.96it/s, loss=0.0123, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  63%|██████▎   | 630/1000 [05:35<03:09,  1.96it/s, loss=0.0377, lr=0.0004]\nSteps:  63%|██████▎   | 631/1000 [05:35<03:06,  1.97it/s, loss=0.0377, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  63%|██████▎   | 631/1000 [05:35<03:06,  1.97it/s, loss=0.00312, lr=0.0004]\nSteps:  63%|██████▎   | 632/1000 [05:36<03:20,  1.84it/s, loss=0.00312, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  63%|██████▎   | 632/1000 [05:36<03:20,  1.84it/s, loss=0.0252, lr=0.0004] \nSteps:  63%|██████▎   | 633/1000 [05:37<03:16,  1.87it/s, loss=0.0252, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  63%|██████▎   | 633/1000 [05:37<03:16,  1.87it/s, loss=0.0672, lr=0.0004]\nSteps:  63%|██████▎   | 634/1000 [05:37<03:06,  1.96it/s, loss=0.0672, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  63%|██████▎   | 634/1000 [05:37<03:06,  1.96it/s, loss=0.16, lr=0.0004]  \nSteps:  64%|██████▎   | 635/1000 [05:38<03:16,  1.86it/s, loss=0.16, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  64%|██████▎   | 635/1000 [05:38<03:16,  1.86it/s, loss=0.0129, lr=0.0004]\nSteps:  64%|██████▎   | 636/1000 [05:38<03:05,  1.96it/s, loss=0.0129, lr=0.0004]\na photo of one <s1><s2>\nSteps:  64%|██████▎   | 636/1000 [05:38<03:05,  1.96it/s, loss=0.121, lr=0.0004] \nSteps:  64%|██████▎   | 637/1000 [05:39<02:59,  2.03it/s, loss=0.121, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  64%|██████▎   | 637/1000 [05:39<02:59,  2.03it/s, loss=0.0073, lr=0.0004]\nSteps:  64%|██████▍   | 638/1000 [05:39<03:13,  1.87it/s, loss=0.0073, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  64%|██████▍   | 638/1000 [05:39<03:13,  1.87it/s, loss=0.01, lr=0.0004]  \nSteps:  64%|██████▍   | 639/1000 [05:40<03:22,  1.78it/s, loss=0.01, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  64%|██████▍   | 639/1000 [05:40<03:22,  1.78it/s, loss=0.00776, lr=0.0004]\nSteps:  64%|██████▍   | 640/1000 [05:40<03:07,  1.92it/s, loss=0.00776, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  64%|██████▍   | 640/1000 [05:40<03:07,  1.92it/s, loss=0.0542, lr=0.0004] \nSteps:  64%|██████▍   | 641/1000 [05:41<03:01,  1.98it/s, loss=0.0542, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  64%|██████▍   | 641/1000 [05:41<03:01,  1.98it/s, loss=0.53, lr=0.0004]  \nSteps:  64%|██████▍   | 642/1000 [05:41<03:00,  1.99it/s, loss=0.53, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  64%|██████▍   | 642/1000 [05:41<03:00,  1.99it/s, loss=0.0042, lr=0.0004]\nSteps:  64%|██████▍   | 643/1000 [05:42<02:56,  2.02it/s, loss=0.0042, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  64%|██████▍   | 643/1000 [05:42<02:56,  2.02it/s, loss=0.0289, lr=0.0004]\nSteps:  64%|██████▍   | 644/1000 [05:42<02:53,  2.05it/s, loss=0.0289, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  64%|██████▍   | 644/1000 [05:42<02:53,  2.05it/s, loss=0.0812, lr=0.0004]\nSteps:  64%|██████▍   | 645/1000 [05:43<02:53,  2.04it/s, loss=0.0812, lr=0.0004]\na photo of the <s1><s2>\nSteps:  64%|██████▍   | 645/1000 [05:43<02:53,  2.04it/s, loss=0.0283, lr=0.0004]\nSteps:  65%|██████▍   | 646/1000 [05:43<02:49,  2.09it/s, loss=0.0283, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  65%|██████▍   | 646/1000 [05:43<02:49,  2.09it/s, loss=0.0795, lr=0.0004]\nSteps:  65%|██████▍   | 647/1000 [05:44<02:51,  2.06it/s, loss=0.0795, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  65%|██████▍   | 647/1000 [05:44<02:51,  2.06it/s, loss=0.0418, lr=0.0004]\nSteps:  65%|██████▍   | 648/1000 [05:44<03:06,  1.89it/s, loss=0.0418, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  65%|██████▍   | 648/1000 [05:44<03:06,  1.89it/s, loss=0.0032, lr=0.0004]\nSteps:  65%|██████▍   | 649/1000 [05:45<03:16,  1.78it/s, loss=0.0032, lr=0.0004]\na photo of a <s1><s2>\nSteps:  65%|██████▍   | 649/1000 [05:45<03:16,  1.78it/s, loss=0.00802, lr=0.0004]\nSteps:  65%|██████▌   | 650/1000 [05:45<03:14,  1.80it/s, loss=0.00802, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  65%|██████▌   | 650/1000 [05:45<03:14,  1.80it/s, loss=0.00414, lr=0.0004]\nSteps:  65%|██████▌   | 651/1000 [05:46<03:03,  1.90it/s, loss=0.00414, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  65%|██████▌   | 651/1000 [05:46<03:03,  1.90it/s, loss=0.0796, lr=0.0004] \nSteps:  65%|██████▌   | 652/1000 [05:46<02:54,  1.99it/s, loss=0.0796, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  65%|██████▌   | 652/1000 [05:46<02:54,  1.99it/s, loss=0.0283, lr=0.0004]\nSteps:  65%|██████▌   | 653/1000 [05:47<02:53,  2.00it/s, loss=0.0283, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  65%|██████▌   | 653/1000 [05:47<02:53,  2.00it/s, loss=0.00727, lr=0.0004]\nSteps:  65%|██████▌   | 654/1000 [05:47<03:09,  1.83it/s, loss=0.00727, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  65%|██████▌   | 654/1000 [05:47<03:09,  1.83it/s, loss=0.00509, lr=0.0004]\nSteps:  66%|██████▌   | 655/1000 [05:48<03:00,  1.91it/s, loss=0.00509, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  66%|██████▌   | 655/1000 [05:48<03:00,  1.91it/s, loss=0.124, lr=0.0004]  \nSteps:  66%|██████▌   | 656/1000 [05:48<02:56,  1.95it/s, loss=0.124, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  66%|██████▌   | 656/1000 [05:48<02:56,  1.95it/s, loss=0.0274, lr=0.0004]\nSteps:  66%|██████▌   | 657/1000 [05:49<02:51,  2.00it/s, loss=0.0274, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  66%|██████▌   | 657/1000 [05:49<02:51,  2.00it/s, loss=0.00388, lr=0.0004]\nSteps:  66%|██████▌   | 658/1000 [05:49<03:04,  1.85it/s, loss=0.00388, lr=0.0004]\na photo of my <s1><s2>\nSteps:  66%|██████▌   | 658/1000 [05:50<03:04,  1.85it/s, loss=0.0024, lr=0.0004] \nSteps:  66%|██████▌   | 659/1000 [05:50<03:12,  1.77it/s, loss=0.0024, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  66%|██████▌   | 659/1000 [05:50<03:12,  1.77it/s, loss=0.0189, lr=0.0004]\nSteps:  66%|██████▌   | 660/1000 [05:51<03:07,  1.81it/s, loss=0.0189, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  66%|██████▌   | 660/1000 [05:51<03:07,  1.81it/s, loss=0.141, lr=0.0004] \nSteps:  66%|██████▌   | 661/1000 [05:51<03:16,  1.73it/s, loss=0.141, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  66%|██████▌   | 661/1000 [05:51<03:16,  1.73it/s, loss=0.00576, lr=0.0004]\nSteps:  66%|██████▌   | 662/1000 [05:52<03:07,  1.80it/s, loss=0.00576, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  66%|██████▌   | 662/1000 [05:52<03:07,  1.80it/s, loss=0.0766, lr=0.0004] \nSteps:  66%|██████▋   | 663/1000 [05:52<02:57,  1.90it/s, loss=0.0766, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  66%|██████▋   | 663/1000 [05:52<02:57,  1.90it/s, loss=0.0192, lr=0.0004]\nSteps:  66%|██████▋   | 664/1000 [05:53<02:52,  1.94it/s, loss=0.0192, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  66%|██████▋   | 664/1000 [05:53<02:52,  1.94it/s, loss=0.333, lr=0.0004] \nSteps:  66%|██████▋   | 665/1000 [05:53<02:50,  1.97it/s, loss=0.333, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  66%|██████▋   | 665/1000 [05:53<02:50,  1.97it/s, loss=0.0346, lr=0.0004]\nSteps:  67%|██████▋   | 666/1000 [05:54<02:51,  1.95it/s, loss=0.0346, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  67%|██████▋   | 666/1000 [05:54<02:51,  1.95it/s, loss=0.00305, lr=0.0004]\nSteps:  67%|██████▋   | 667/1000 [05:54<03:01,  1.83it/s, loss=0.00305, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  67%|██████▋   | 667/1000 [05:54<03:01,  1.83it/s, loss=0.0138, lr=0.0004] \nSteps:  67%|██████▋   | 668/1000 [05:55<03:12,  1.72it/s, loss=0.0138, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  67%|██████▋   | 668/1000 [05:55<03:12,  1.72it/s, loss=0.028, lr=0.0004] \nSteps:  67%|██████▋   | 669/1000 [05:56<03:02,  1.81it/s, loss=0.028, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  67%|██████▋   | 669/1000 [05:56<03:02,  1.81it/s, loss=0.0963, lr=0.0004]\nSteps:  67%|██████▋   | 670/1000 [05:56<02:52,  1.91it/s, loss=0.0963, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  67%|██████▋   | 670/1000 [05:56<02:52,  1.91it/s, loss=0.0254, lr=0.0004]\nSteps:  67%|██████▋   | 671/1000 [05:56<02:46,  1.97it/s, loss=0.0254, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  67%|██████▋   | 671/1000 [05:56<02:46,  1.97it/s, loss=0.0137, lr=0.0004]\nSteps:  67%|██████▋   | 672/1000 [05:57<02:42,  2.02it/s, loss=0.0137, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  67%|██████▋   | 672/1000 [05:57<02:42,  2.02it/s, loss=0.00711, lr=0.0004]\nSteps:  67%|██████▋   | 673/1000 [05:57<02:39,  2.05it/s, loss=0.00711, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  67%|██████▋   | 673/1000 [05:57<02:39,  2.05it/s, loss=0.0999, lr=0.0004] \nSteps:  67%|██████▋   | 674/1000 [05:58<02:43,  1.99it/s, loss=0.0999, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  67%|██████▋   | 674/1000 [05:58<02:43,  1.99it/s, loss=0.0121, lr=0.0004]\nSteps:  68%|██████▊   | 675/1000 [05:58<02:43,  1.99it/s, loss=0.0121, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  68%|██████▊   | 675/1000 [05:58<02:43,  1.99it/s, loss=0.00326, lr=0.0004]\nSteps:  68%|██████▊   | 676/1000 [05:59<02:41,  2.00it/s, loss=0.00326, lr=0.0004]\na photo of one <s1><s2>\nSteps:  68%|██████▊   | 676/1000 [05:59<02:41,  2.00it/s, loss=0.0247, lr=0.0004] \nSteps:  68%|██████▊   | 677/1000 [06:00<02:52,  1.87it/s, loss=0.0247, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  68%|██████▊   | 677/1000 [06:00<02:52,  1.87it/s, loss=0.0027, lr=0.0004]\nSteps:  68%|██████▊   | 678/1000 [06:00<02:47,  1.92it/s, loss=0.0027, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  68%|██████▊   | 678/1000 [06:00<02:47,  1.92it/s, loss=0.401, lr=0.0004] \nSteps:  68%|██████▊   | 679/1000 [06:01<02:57,  1.81it/s, loss=0.401, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  68%|██████▊   | 679/1000 [06:01<02:57,  1.81it/s, loss=0.00592, lr=0.0004]\nSteps:  68%|██████▊   | 680/1000 [06:01<03:00,  1.77it/s, loss=0.00592, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  68%|██████▊   | 680/1000 [06:01<03:00,  1.77it/s, loss=0.0326, lr=0.0004] \nSteps:  68%|██████▊   | 681/1000 [06:02<02:49,  1.88it/s, loss=0.0326, lr=0.0004]\na photo of one <s1><s2>\nSteps:  68%|██████▊   | 681/1000 [06:02<02:49,  1.88it/s, loss=0.11, lr=0.0004]  \nSteps:  68%|██████▊   | 682/1000 [06:02<03:04,  1.73it/s, loss=0.11, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  68%|██████▊   | 682/1000 [06:02<03:04,  1.73it/s, loss=0.012, lr=0.0004]\nSteps:  68%|██████▊   | 683/1000 [06:03<02:52,  1.84it/s, loss=0.012, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  68%|██████▊   | 683/1000 [06:03<02:52,  1.84it/s, loss=0.0655, lr=0.0004]\nSteps:  68%|██████▊   | 684/1000 [06:03<02:44,  1.92it/s, loss=0.0655, lr=0.0004]\na photo of a <s1><s2>\nSteps:  68%|██████▊   | 684/1000 [06:03<02:44,  1.92it/s, loss=0.0367, lr=0.0004]\nSteps:  68%|██████▊   | 685/1000 [06:04<02:42,  1.94it/s, loss=0.0367, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  68%|██████▊   | 685/1000 [06:04<02:42,  1.94it/s, loss=0.00181, lr=0.0004]\nSteps:  69%|██████▊   | 686/1000 [06:04<02:36,  2.01it/s, loss=0.00181, lr=0.0004]\na photo of one <s1><s2>\nSteps:  69%|██████▊   | 686/1000 [06:04<02:36,  2.01it/s, loss=0.0233, lr=0.0004] \nSteps:  69%|██████▊   | 687/1000 [06:05<02:34,  2.02it/s, loss=0.0233, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  69%|██████▊   | 687/1000 [06:05<02:34,  2.02it/s, loss=0.0935, lr=0.0004]\nSteps:  69%|██████▉   | 688/1000 [06:05<02:29,  2.08it/s, loss=0.0935, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  69%|██████▉   | 688/1000 [06:05<02:29,  2.08it/s, loss=0.388, lr=0.0004] \nSteps:  69%|██████▉   | 689/1000 [06:06<02:45,  1.88it/s, loss=0.388, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  69%|██████▉   | 689/1000 [06:06<02:45,  1.88it/s, loss=0.00183, lr=0.0004]\nSteps:  69%|██████▉   | 690/1000 [06:06<02:37,  1.97it/s, loss=0.00183, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  69%|██████▉   | 690/1000 [06:06<02:37,  1.97it/s, loss=0.0276, lr=0.0004] \nSteps:  69%|██████▉   | 691/1000 [06:07<02:41,  1.92it/s, loss=0.0276, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  69%|██████▉   | 691/1000 [06:07<02:41,  1.92it/s, loss=0.00923, lr=0.0004]\nSteps:  69%|██████▉   | 692/1000 [06:07<02:34,  1.99it/s, loss=0.00923, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  69%|██████▉   | 692/1000 [06:07<02:34,  1.99it/s, loss=0.00684, lr=0.0004]\nSteps:  69%|██████▉   | 693/1000 [06:08<02:45,  1.85it/s, loss=0.00684, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  69%|██████▉   | 693/1000 [06:08<02:45,  1.85it/s, loss=0.00152, lr=0.0004]\nSteps:  69%|██████▉   | 694/1000 [06:08<02:37,  1.94it/s, loss=0.00152, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  69%|██████▉   | 694/1000 [06:08<02:37,  1.94it/s, loss=0.0144, lr=0.0004] \nSteps:  70%|██████▉   | 695/1000 [06:09<02:45,  1.84it/s, loss=0.0144, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  70%|██████▉   | 695/1000 [06:09<02:45,  1.84it/s, loss=0.0138, lr=0.0004]\nSteps:  70%|██████▉   | 696/1000 [06:09<02:39,  1.91it/s, loss=0.0138, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  70%|██████▉   | 696/1000 [06:09<02:39,  1.91it/s, loss=0.0217, lr=0.0004]\nSteps:  70%|██████▉   | 697/1000 [06:10<02:32,  1.98it/s, loss=0.0217, lr=0.0004]\na photo of one <s1><s2>\nSteps:  70%|██████▉   | 697/1000 [06:10<02:32,  1.98it/s, loss=0.133, lr=0.0004] \nSteps:  70%|██████▉   | 698/1000 [06:10<02:31,  2.00it/s, loss=0.133, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  70%|██████▉   | 698/1000 [06:10<02:31,  2.00it/s, loss=0.0773, lr=0.0004]\nSteps:  70%|██████▉   | 699/1000 [06:11<02:45,  1.82it/s, loss=0.0773, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  70%|██████▉   | 699/1000 [06:11<02:45,  1.82it/s, loss=0.00698, lr=0.0004]\nSteps:  70%|███████   | 700/1000 [06:12<02:40,  1.87it/s, loss=0.00698, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  70%|███████   | 700/1000 [06:12<02:40,  1.87it/s, loss=0.0286, lr=0.0004] \nSteps:  70%|███████   | 701/1000 [06:12<02:35,  1.92it/s, loss=0.0286, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  70%|███████   | 701/1000 [06:12<02:35,  1.92it/s, loss=0.0085, lr=0.0004]\nSteps:  70%|███████   | 702/1000 [06:13<02:32,  1.96it/s, loss=0.0085, lr=0.0004]\na photo of the <s1><s2>\nSteps:  70%|███████   | 702/1000 [06:13<02:32,  1.96it/s, loss=0.102, lr=0.0004] \nSteps:  70%|███████   | 703/1000 [06:13<02:41,  1.84it/s, loss=0.102, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  70%|███████   | 703/1000 [06:13<02:41,  1.84it/s, loss=0.00352, lr=0.0004]\nSteps:  70%|███████   | 704/1000 [06:14<02:39,  1.86it/s, loss=0.00352, lr=0.0004]\na photo of the <s1><s2>\nSteps:  70%|███████   | 704/1000 [06:14<02:39,  1.86it/s, loss=0.0263, lr=0.0004] \nSteps:  70%|███████   | 705/1000 [06:14<02:30,  1.95it/s, loss=0.0263, lr=0.0004]\na photo of one <s1><s2>\nSteps:  70%|███████   | 705/1000 [06:14<02:30,  1.95it/s, loss=0.0154, lr=0.0004]\nSteps:  71%|███████   | 706/1000 [06:15<02:28,  1.98it/s, loss=0.0154, lr=0.0004]\na photo of one <s1><s2>\nSteps:  71%|███████   | 706/1000 [06:15<02:28,  1.98it/s, loss=0.0088, lr=0.0004]\nSteps:  71%|███████   | 707/1000 [06:15<02:39,  1.84it/s, loss=0.0088, lr=0.0004]\na photo of my <s1><s2>\nSteps:  71%|███████   | 707/1000 [06:15<02:39,  1.84it/s, loss=0.0143, lr=0.0004]\nSteps:  71%|███████   | 708/1000 [06:16<02:47,  1.74it/s, loss=0.0143, lr=0.0004]\na photo of my <s1><s2>\nSteps:  71%|███████   | 708/1000 [06:16<02:47,  1.74it/s, loss=0.0302, lr=0.0004]\nSteps:  71%|███████   | 709/1000 [06:17<02:51,  1.70it/s, loss=0.0302, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  71%|███████   | 709/1000 [06:17<02:51,  1.70it/s, loss=0.0114, lr=0.0004]\nSteps:  71%|███████   | 710/1000 [06:17<02:40,  1.80it/s, loss=0.0114, lr=0.0004]\na photo of my <s1><s2>\nSteps:  71%|███████   | 710/1000 [06:17<02:40,  1.80it/s, loss=0.0124, lr=0.0004]\nSteps:  71%|███████   | 711/1000 [06:18<02:32,  1.90it/s, loss=0.0124, lr=0.0004]\na photo of the <s1><s2>\nSteps:  71%|███████   | 711/1000 [06:18<02:32,  1.90it/s, loss=0.0117, lr=0.0004]\nSteps:  71%|███████   | 712/1000 [06:18<02:27,  1.96it/s, loss=0.0117, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  71%|███████   | 712/1000 [06:18<02:27,  1.96it/s, loss=0.0225, lr=0.0004]\nSteps:  71%|███████▏  | 713/1000 [06:18<02:23,  2.00it/s, loss=0.0225, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  71%|███████▏  | 713/1000 [06:18<02:23,  2.00it/s, loss=0.0695, lr=0.0004]\nSteps:  71%|███████▏  | 714/1000 [06:19<02:19,  2.05it/s, loss=0.0695, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  71%|███████▏  | 714/1000 [06:19<02:19,  2.05it/s, loss=0.0224, lr=0.0004]\nSteps:  72%|███████▏  | 715/1000 [06:20<02:29,  1.91it/s, loss=0.0224, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  72%|███████▏  | 715/1000 [06:20<02:29,  1.91it/s, loss=0.00142, lr=0.0004]\nSteps:  72%|███████▏  | 716/1000 [06:20<02:22,  1.99it/s, loss=0.00142, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  72%|███████▏  | 716/1000 [06:20<02:22,  1.99it/s, loss=0.214, lr=0.0004]  \nSteps:  72%|███████▏  | 717/1000 [06:21<02:35,  1.82it/s, loss=0.214, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  72%|███████▏  | 717/1000 [06:21<02:35,  1.82it/s, loss=0.00281, lr=0.0004]\nSteps:  72%|███████▏  | 718/1000 [06:21<02:30,  1.87it/s, loss=0.00281, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  72%|███████▏  | 718/1000 [06:21<02:30,  1.87it/s, loss=0.0672, lr=0.0004] \nSteps:  72%|███████▏  | 719/1000 [06:22<02:24,  1.95it/s, loss=0.0672, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  72%|███████▏  | 719/1000 [06:22<02:24,  1.95it/s, loss=0.0338, lr=0.0004]\nSteps:  72%|███████▏  | 720/1000 [06:22<02:24,  1.94it/s, loss=0.0338, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  72%|███████▏  | 720/1000 [06:22<02:24,  1.94it/s, loss=0.0288, lr=0.0004]\nSteps:  72%|███████▏  | 721/1000 [06:23<02:19,  2.00it/s, loss=0.0288, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  72%|███████▏  | 721/1000 [06:23<02:19,  2.00it/s, loss=0.0209, lr=0.0004]\nSteps:  72%|███████▏  | 722/1000 [06:23<02:15,  2.06it/s, loss=0.0209, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  72%|███████▏  | 722/1000 [06:23<02:15,  2.06it/s, loss=0.0148, lr=0.0004]\nSteps:  72%|███████▏  | 723/1000 [06:24<02:13,  2.07it/s, loss=0.0148, lr=0.0004]\na photo of the <s1><s2>\nSteps:  72%|███████▏  | 723/1000 [06:24<02:13,  2.07it/s, loss=0.473, lr=0.0004] \nSteps:  72%|███████▏  | 724/1000 [06:24<02:16,  2.03it/s, loss=0.473, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  72%|███████▏  | 724/1000 [06:24<02:16,  2.03it/s, loss=0.00935, lr=0.0004]\nSteps:  72%|███████▎  | 725/1000 [06:25<02:29,  1.84it/s, loss=0.00935, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  72%|███████▎  | 725/1000 [06:25<02:29,  1.84it/s, loss=0.00179, lr=0.0004]\nSteps:  73%|███████▎  | 726/1000 [06:25<02:26,  1.87it/s, loss=0.00179, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  73%|███████▎  | 726/1000 [06:25<02:26,  1.87it/s, loss=0.0489, lr=0.0004] \nSteps:  73%|███████▎  | 727/1000 [06:26<02:20,  1.94it/s, loss=0.0489, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  73%|███████▎  | 727/1000 [06:26<02:20,  1.94it/s, loss=0.0155, lr=0.0004]\nSteps:  73%|███████▎  | 728/1000 [06:26<02:28,  1.83it/s, loss=0.0155, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  73%|███████▎  | 728/1000 [06:26<02:28,  1.83it/s, loss=0.00375, lr=0.0004]\nSteps:  73%|███████▎  | 729/1000 [06:27<02:21,  1.92it/s, loss=0.00375, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  73%|███████▎  | 729/1000 [06:27<02:21,  1.92it/s, loss=0.0342, lr=0.0004] \nSteps:  73%|███████▎  | 730/1000 [06:27<02:28,  1.81it/s, loss=0.0342, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  73%|███████▎  | 730/1000 [06:27<02:28,  1.81it/s, loss=0.00245, lr=0.0004]\nSteps:  73%|███████▎  | 731/1000 [06:28<02:34,  1.74it/s, loss=0.00245, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  73%|███████▎  | 731/1000 [06:28<02:34,  1.74it/s, loss=0.0181, lr=0.0004] \nSteps:  73%|███████▎  | 732/1000 [06:29<02:31,  1.77it/s, loss=0.0181, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  73%|███████▎  | 732/1000 [06:29<02:31,  1.77it/s, loss=0.0193, lr=0.0004]\nSteps:  73%|███████▎  | 733/1000 [06:29<02:23,  1.87it/s, loss=0.0193, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  73%|███████▎  | 733/1000 [06:29<02:23,  1.87it/s, loss=0.0234, lr=0.0004]\nSteps:  73%|███████▎  | 734/1000 [06:29<02:16,  1.95it/s, loss=0.0234, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  73%|███████▎  | 734/1000 [06:29<02:16,  1.95it/s, loss=0.0498, lr=0.0004]\nSteps:  74%|███████▎  | 735/1000 [06:30<02:11,  2.01it/s, loss=0.0498, lr=0.0004]\na photo of a <s1><s2>\nSteps:  74%|███████▎  | 735/1000 [06:30<02:11,  2.01it/s, loss=0.0175, lr=0.0004]\nSteps:  74%|███████▎  | 736/1000 [06:30<02:08,  2.05it/s, loss=0.0175, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  74%|███████▎  | 736/1000 [06:30<02:08,  2.05it/s, loss=0.0259, lr=0.0004]\nSteps:  74%|███████▎  | 737/1000 [06:31<02:17,  1.91it/s, loss=0.0259, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  74%|███████▎  | 737/1000 [06:31<02:17,  1.91it/s, loss=0.0145, lr=0.0004]\nSteps:  74%|███████▍  | 738/1000 [06:32<02:25,  1.80it/s, loss=0.0145, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  74%|███████▍  | 738/1000 [06:32<02:25,  1.80it/s, loss=0.00178, lr=0.0004]\nSteps:  74%|███████▍  | 739/1000 [06:32<02:18,  1.89it/s, loss=0.00178, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  74%|███████▍  | 739/1000 [06:32<02:18,  1.89it/s, loss=0.00471, lr=0.0004]\nSteps:  74%|███████▍  | 740/1000 [06:33<02:15,  1.92it/s, loss=0.00471, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  74%|███████▍  | 740/1000 [06:33<02:15,  1.92it/s, loss=0.00719, lr=0.0004]\nSteps:  74%|███████▍  | 741/1000 [06:33<02:10,  1.98it/s, loss=0.00719, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  74%|███████▍  | 741/1000 [06:33<02:10,  1.98it/s, loss=0.0378, lr=0.0004] \nSteps:  74%|███████▍  | 742/1000 [06:34<02:08,  2.02it/s, loss=0.0378, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  74%|███████▍  | 742/1000 [06:34<02:08,  2.02it/s, loss=0.021, lr=0.0004] \nSteps:  74%|███████▍  | 743/1000 [06:34<02:08,  2.00it/s, loss=0.021, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  74%|███████▍  | 743/1000 [06:34<02:08,  2.00it/s, loss=0.00499, lr=0.0004]\nSteps:  74%|███████▍  | 744/1000 [06:35<02:06,  2.03it/s, loss=0.00499, lr=0.0004]\na photo of my <s1><s2>\nSteps:  74%|███████▍  | 744/1000 [06:35<02:06,  2.03it/s, loss=0.141, lr=0.0004]  \nSteps:  74%|███████▍  | 745/1000 [06:35<02:02,  2.08it/s, loss=0.141, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  74%|███████▍  | 745/1000 [06:35<02:02,  2.08it/s, loss=0.0338, lr=0.0004]\nSteps:  75%|███████▍  | 746/1000 [06:35<02:00,  2.11it/s, loss=0.0338, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  75%|███████▍  | 746/1000 [06:35<02:00,  2.11it/s, loss=0.51, lr=0.0004]  \nSteps:  75%|███████▍  | 747/1000 [06:36<02:02,  2.07it/s, loss=0.51, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  75%|███████▍  | 747/1000 [06:36<02:02,  2.07it/s, loss=0.0207, lr=0.0004]\nSteps:  75%|███████▍  | 748/1000 [06:37<02:10,  1.93it/s, loss=0.0207, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  75%|███████▍  | 748/1000 [06:37<02:10,  1.93it/s, loss=0.00519, lr=0.0004]\nSteps:  75%|███████▍  | 749/1000 [06:37<02:13,  1.88it/s, loss=0.00519, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  75%|███████▍  | 749/1000 [06:37<02:13,  1.88it/s, loss=0.0018, lr=0.0004] \nSteps:  75%|███████▌  | 750/1000 [06:38<02:06,  1.97it/s, loss=0.0018, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  75%|███████▌  | 750/1000 [06:38<02:06,  1.97it/s, loss=0.192, lr=0.0004] \nSteps:  75%|███████▌  | 751/1000 [06:38<02:00,  2.07it/s, loss=0.192, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  75%|███████▌  | 751/1000 [06:38<02:00,  2.07it/s, loss=0.00802, lr=0.0004]\nSteps:  75%|███████▌  | 752/1000 [06:39<02:14,  1.84it/s, loss=0.00802, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  75%|███████▌  | 752/1000 [06:39<02:14,  1.84it/s, loss=0.00829, lr=0.0004]\nSteps:  75%|███████▌  | 753/1000 [06:39<02:14,  1.84it/s, loss=0.00829, lr=0.0004]\na photo of a <s1><s2>\nSteps:  75%|███████▌  | 753/1000 [06:39<02:14,  1.84it/s, loss=0.03, lr=0.0004]   \nSteps:  75%|███████▌  | 754/1000 [06:40<02:14,  1.84it/s, loss=0.03, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  75%|███████▌  | 754/1000 [06:40<02:14,  1.84it/s, loss=0.00808, lr=0.0004]\nSteps:  76%|███████▌  | 755/1000 [06:40<02:14,  1.82it/s, loss=0.00808, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  76%|███████▌  | 755/1000 [06:40<02:14,  1.82it/s, loss=0.00642, lr=0.0004]\nSteps:  76%|███████▌  | 756/1000 [06:41<02:18,  1.76it/s, loss=0.00642, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  76%|███████▌  | 756/1000 [06:41<02:18,  1.76it/s, loss=0.0113, lr=0.0004] \nSteps:  76%|███████▌  | 757/1000 [06:41<02:13,  1.82it/s, loss=0.0113, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  76%|███████▌  | 757/1000 [06:41<02:13,  1.82it/s, loss=0.0414, lr=0.0004]\nSteps:  76%|███████▌  | 758/1000 [06:42<02:06,  1.91it/s, loss=0.0414, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  76%|███████▌  | 758/1000 [06:42<02:06,  1.91it/s, loss=0.0657, lr=0.0004]\nSteps:  76%|███████▌  | 759/1000 [06:43<02:12,  1.81it/s, loss=0.0657, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  76%|███████▌  | 759/1000 [06:43<02:12,  1.81it/s, loss=0.00746, lr=0.0004]\nSteps:  76%|███████▌  | 760/1000 [06:43<02:06,  1.89it/s, loss=0.00746, lr=0.0004]\na photo of the <s1><s2>\nSteps:  76%|███████▌  | 760/1000 [06:43<02:06,  1.89it/s, loss=0.245, lr=0.0004]  \nSteps:  76%|███████▌  | 761/1000 [06:44<02:04,  1.92it/s, loss=0.245, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  76%|███████▌  | 761/1000 [06:44<02:04,  1.92it/s, loss=0.148, lr=0.0004]\nSteps:  76%|███████▌  | 762/1000 [06:44<02:04,  1.92it/s, loss=0.148, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  76%|███████▌  | 762/1000 [06:44<02:04,  1.92it/s, loss=0.0113, lr=0.0004]\nSteps:  76%|███████▋  | 763/1000 [06:45<02:10,  1.81it/s, loss=0.0113, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  76%|███████▋  | 763/1000 [06:45<02:10,  1.81it/s, loss=0.0114, lr=0.0004]\nSteps:  76%|███████▋  | 764/1000 [06:45<02:07,  1.85it/s, loss=0.0114, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  76%|███████▋  | 764/1000 [06:45<02:07,  1.85it/s, loss=0.00624, lr=0.0004]\nSteps:  76%|███████▋  | 765/1000 [06:46<02:02,  1.92it/s, loss=0.00624, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  76%|███████▋  | 765/1000 [06:46<02:02,  1.92it/s, loss=0.00382, lr=0.0004]\nSteps:  77%|███████▋  | 766/1000 [06:46<01:58,  1.97it/s, loss=0.00382, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  77%|███████▋  | 766/1000 [06:46<01:58,  1.97it/s, loss=0.00739, lr=0.0004]\nSteps:  77%|███████▋  | 767/1000 [06:47<02:09,  1.80it/s, loss=0.00739, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  77%|███████▋  | 767/1000 [06:47<02:09,  1.80it/s, loss=0.0119, lr=0.0004] \nSteps:  77%|███████▋  | 768/1000 [06:47<02:14,  1.72it/s, loss=0.0119, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  77%|███████▋  | 768/1000 [06:47<02:14,  1.72it/s, loss=0.0271, lr=0.0004]\nSteps:  77%|███████▋  | 769/1000 [06:48<02:09,  1.79it/s, loss=0.0271, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  77%|███████▋  | 769/1000 [06:48<02:09,  1.79it/s, loss=0.139, lr=0.0004] \nSteps:  77%|███████▋  | 770/1000 [06:48<02:07,  1.81it/s, loss=0.139, lr=0.0004]\na photo of a <s1><s2>\nSteps:  77%|███████▋  | 770/1000 [06:48<02:07,  1.81it/s, loss=0.0775, lr=0.0004]\nSteps:  77%|███████▋  | 771/1000 [06:49<02:04,  1.83it/s, loss=0.0775, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  77%|███████▋  | 771/1000 [06:49<02:04,  1.83it/s, loss=0.0481, lr=0.0004]\nSteps:  77%|███████▋  | 772/1000 [06:50<02:02,  1.86it/s, loss=0.0481, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  77%|███████▋  | 772/1000 [06:50<02:02,  1.86it/s, loss=0.0132, lr=0.0004]\nSteps:  77%|███████▋  | 773/1000 [06:50<02:00,  1.88it/s, loss=0.0132, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  77%|███████▋  | 773/1000 [06:50<02:00,  1.88it/s, loss=0.0303, lr=0.0004]\nSteps:  77%|███████▋  | 774/1000 [06:51<01:58,  1.90it/s, loss=0.0303, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  77%|███████▋  | 774/1000 [06:51<01:58,  1.90it/s, loss=0.394, lr=0.0004] \nSteps:  78%|███████▊  | 775/1000 [06:51<01:57,  1.92it/s, loss=0.394, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  78%|███████▊  | 775/1000 [06:51<01:57,  1.92it/s, loss=0.111, lr=0.0004]\nSteps:  78%|███████▊  | 776/1000 [06:52<02:07,  1.75it/s, loss=0.111, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  78%|███████▊  | 776/1000 [06:52<02:07,  1.75it/s, loss=0.00419, lr=0.0004]\nSteps:  78%|███████▊  | 777/1000 [06:52<02:17,  1.62it/s, loss=0.00419, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  78%|███████▊  | 777/1000 [06:52<02:17,  1.62it/s, loss=0.00225, lr=0.0004]\nSteps:  78%|███████▊  | 778/1000 [06:53<02:13,  1.66it/s, loss=0.00225, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  78%|███████▊  | 778/1000 [06:53<02:13,  1.66it/s, loss=0.0289, lr=0.0004] \nSteps:  78%|███████▊  | 779/1000 [06:54<02:09,  1.71it/s, loss=0.0289, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  78%|███████▊  | 779/1000 [06:54<02:09,  1.71it/s, loss=0.178, lr=0.0004] \nSteps:  78%|███████▊  | 780/1000 [06:54<02:13,  1.65it/s, loss=0.178, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  78%|███████▊  | 780/1000 [06:54<02:13,  1.65it/s, loss=0.014, lr=0.0004]\nSteps:  78%|███████▊  | 781/1000 [06:55<02:06,  1.73it/s, loss=0.014, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  78%|███████▊  | 781/1000 [06:55<02:06,  1.73it/s, loss=0.0465, lr=0.0004]\nSteps:  78%|███████▊  | 782/1000 [06:55<02:02,  1.79it/s, loss=0.0465, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  78%|███████▊  | 782/1000 [06:55<02:02,  1.79it/s, loss=0.112, lr=0.0004] \nSteps:  78%|███████▊  | 783/1000 [06:56<02:00,  1.80it/s, loss=0.112, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  78%|███████▊  | 783/1000 [06:56<02:00,  1.80it/s, loss=0.0517, lr=0.0004]\nSteps:  78%|███████▊  | 784/1000 [06:57<02:09,  1.67it/s, loss=0.0517, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  78%|███████▊  | 784/1000 [06:57<02:09,  1.67it/s, loss=0.00289, lr=0.0004]\nSteps:  78%|███████▊  | 785/1000 [06:57<02:02,  1.75it/s, loss=0.00289, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  78%|███████▊  | 785/1000 [06:57<02:02,  1.75it/s, loss=0.0196, lr=0.0004] \nSteps:  79%|███████▊  | 786/1000 [06:58<01:56,  1.83it/s, loss=0.0196, lr=0.0004]\na photo of the <s1><s2>\nSteps:  79%|███████▊  | 786/1000 [06:58<01:56,  1.83it/s, loss=0.0626, lr=0.0004]\nSteps:  79%|███████▊  | 787/1000 [06:58<02:04,  1.70it/s, loss=0.0626, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  79%|███████▊  | 787/1000 [06:58<02:04,  1.70it/s, loss=0.0545, lr=0.0004]\nSteps:  79%|███████▉  | 788/1000 [06:59<02:00,  1.76it/s, loss=0.0545, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  79%|███████▉  | 788/1000 [06:59<02:00,  1.76it/s, loss=0.0224, lr=0.0004]\nSteps:  79%|███████▉  | 789/1000 [06:59<01:57,  1.79it/s, loss=0.0224, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  79%|███████▉  | 789/1000 [06:59<01:57,  1.79it/s, loss=0.178, lr=0.0004] \nSteps:  79%|███████▉  | 790/1000 [07:00<02:03,  1.70it/s, loss=0.178, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  79%|███████▉  | 790/1000 [07:00<02:03,  1.70it/s, loss=0.0142, lr=0.0004]\nSteps:  79%|███████▉  | 791/1000 [07:00<01:58,  1.76it/s, loss=0.0142, lr=0.0004]\na photo of one <s1><s2>\nSteps:  79%|███████▉  | 791/1000 [07:00<01:58,  1.76it/s, loss=0.0469, lr=0.0004]\nSteps:  79%|███████▉  | 792/1000 [07:01<01:59,  1.74it/s, loss=0.0469, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  79%|███████▉  | 792/1000 [07:01<01:59,  1.74it/s, loss=0.0107, lr=0.0004]\nSteps:  79%|███████▉  | 793/1000 [07:01<01:51,  1.85it/s, loss=0.0107, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  79%|███████▉  | 793/1000 [07:01<01:51,  1.85it/s, loss=0.00834, lr=0.0004]\nSteps:  79%|███████▉  | 794/1000 [07:02<01:46,  1.94it/s, loss=0.00834, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  79%|███████▉  | 794/1000 [07:02<01:46,  1.94it/s, loss=0.0159, lr=0.0004] \nSteps:  80%|███████▉  | 795/1000 [07:02<01:44,  1.96it/s, loss=0.0159, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  80%|███████▉  | 795/1000 [07:02<01:44,  1.96it/s, loss=0.00429, lr=0.0004]\nSteps:  80%|███████▉  | 796/1000 [07:03<01:40,  2.03it/s, loss=0.00429, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  80%|███████▉  | 796/1000 [07:03<01:40,  2.03it/s, loss=0.257, lr=0.0004]  \nSteps:  80%|███████▉  | 797/1000 [07:03<01:46,  1.90it/s, loss=0.257, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  80%|███████▉  | 797/1000 [07:03<01:46,  1.90it/s, loss=0.0194, lr=0.0004]\nSteps:  80%|███████▉  | 798/1000 [07:04<01:42,  1.97it/s, loss=0.0194, lr=0.0004]\na photo of one <s1><s2>\nSteps:  80%|███████▉  | 798/1000 [07:04<01:42,  1.97it/s, loss=0.0428, lr=0.0004]\nSteps:  80%|███████▉  | 799/1000 [07:04<01:41,  1.99it/s, loss=0.0428, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  80%|███████▉  | 799/1000 [07:04<01:41,  1.99it/s, loss=0.196, lr=0.0004] \nSteps:  80%|████████  | 800/1000 [07:05<01:40,  2.00it/s, loss=0.196, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  80%|████████  | 800/1000 [07:05<01:40,  2.00it/s, loss=0.0227, lr=0.0004]\nSteps:  80%|████████  | 801/1000 [07:05<01:36,  2.06it/s, loss=0.0227, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  80%|████████  | 801/1000 [07:05<01:36,  2.06it/s, loss=0.146, lr=0.0004] \nSteps:  80%|████████  | 802/1000 [07:06<01:34,  2.09it/s, loss=0.146, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  80%|████████  | 802/1000 [07:06<01:34,  2.09it/s, loss=0.201, lr=0.0004]\nSteps:  80%|████████  | 803/1000 [07:06<01:41,  1.94it/s, loss=0.201, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  80%|████████  | 803/1000 [07:06<01:41,  1.94it/s, loss=0.00172, lr=0.0004]\nSteps:  80%|████████  | 804/1000 [07:07<01:37,  2.01it/s, loss=0.00172, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  80%|████████  | 804/1000 [07:07<01:37,  2.01it/s, loss=0.0265, lr=0.0004] \nSteps:  80%|████████  | 805/1000 [07:08<01:43,  1.88it/s, loss=0.0265, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  80%|████████  | 805/1000 [07:08<01:43,  1.88it/s, loss=0.0152, lr=0.0004]\nSteps:  81%|████████  | 806/1000 [07:08<01:51,  1.73it/s, loss=0.0152, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  81%|████████  | 806/1000 [07:08<01:51,  1.73it/s, loss=0.00593, lr=0.0004]\nSteps:  81%|████████  | 807/1000 [07:09<01:48,  1.78it/s, loss=0.00593, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  81%|████████  | 807/1000 [07:09<01:48,  1.78it/s, loss=0.017, lr=0.0004]  \nSteps:  81%|████████  | 808/1000 [07:09<01:52,  1.71it/s, loss=0.017, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  81%|████████  | 808/1000 [07:09<01:52,  1.71it/s, loss=0.0185, lr=0.0004]\nSteps:  81%|████████  | 809/1000 [07:10<01:47,  1.78it/s, loss=0.0185, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  81%|████████  | 809/1000 [07:10<01:47,  1.78it/s, loss=0.0616, lr=0.0004]\nSteps:  81%|████████  | 810/1000 [07:10<01:44,  1.83it/s, loss=0.0616, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  81%|████████  | 810/1000 [07:10<01:44,  1.83it/s, loss=0.0285, lr=0.0004]\nSteps:  81%|████████  | 811/1000 [07:11<01:40,  1.89it/s, loss=0.0285, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  81%|████████  | 811/1000 [07:11<01:40,  1.89it/s, loss=0.0672, lr=0.0004]\nSteps:  81%|████████  | 812/1000 [07:11<01:37,  1.93it/s, loss=0.0672, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  81%|████████  | 812/1000 [07:11<01:37,  1.93it/s, loss=0.0058, lr=0.0004]\nSteps:  81%|████████▏ | 813/1000 [07:12<01:37,  1.92it/s, loss=0.0058, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  81%|████████▏ | 813/1000 [07:12<01:37,  1.92it/s, loss=0.00975, lr=0.0004]\nSteps:  81%|████████▏ | 814/1000 [07:12<01:35,  1.94it/s, loss=0.00975, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  81%|████████▏ | 814/1000 [07:12<01:35,  1.94it/s, loss=0.169, lr=0.0004]  \nSteps:  82%|████████▏ | 815/1000 [07:13<01:35,  1.94it/s, loss=0.169, lr=0.0004]\na photo of my <s1><s2>\nSteps:  82%|████████▏ | 815/1000 [07:13<01:35,  1.94it/s, loss=0.223, lr=0.0004]\nSteps:  82%|████████▏ | 816/1000 [07:14<01:44,  1.76it/s, loss=0.223, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  82%|████████▏ | 816/1000 [07:14<01:44,  1.76it/s, loss=0.0218, lr=0.0004]\nSteps:  82%|████████▏ | 817/1000 [07:14<01:47,  1.71it/s, loss=0.0218, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  82%|████████▏ | 817/1000 [07:14<01:47,  1.71it/s, loss=0.0315, lr=0.0004]\nSteps:  82%|████████▏ | 818/1000 [07:15<01:41,  1.79it/s, loss=0.0315, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  82%|████████▏ | 818/1000 [07:15<01:41,  1.79it/s, loss=0.0384, lr=0.0004]\nSteps:  82%|████████▏ | 819/1000 [07:15<01:40,  1.80it/s, loss=0.0384, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  82%|████████▏ | 819/1000 [07:15<01:40,  1.80it/s, loss=0.0201, lr=0.0004]\nSteps:  82%|████████▏ | 820/1000 [07:16<01:37,  1.85it/s, loss=0.0201, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  82%|████████▏ | 820/1000 [07:16<01:37,  1.85it/s, loss=0.0496, lr=0.0004]\nSteps:  82%|████████▏ | 821/1000 [07:16<01:37,  1.84it/s, loss=0.0496, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  82%|████████▏ | 821/1000 [07:16<01:37,  1.84it/s, loss=0.0499, lr=0.0004]\nSteps:  82%|████████▏ | 822/1000 [07:17<01:35,  1.86it/s, loss=0.0499, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  82%|████████▏ | 822/1000 [07:17<01:35,  1.86it/s, loss=0.00745, lr=0.0004]\nSteps:  82%|████████▏ | 823/1000 [07:17<01:40,  1.76it/s, loss=0.00745, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  82%|████████▏ | 823/1000 [07:17<01:40,  1.76it/s, loss=0.00132, lr=0.0004]\nSteps:  82%|████████▏ | 824/1000 [07:18<01:45,  1.67it/s, loss=0.00132, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  82%|████████▏ | 824/1000 [07:18<01:45,  1.67it/s, loss=0.0238, lr=0.0004] \nSteps:  82%|████████▎ | 825/1000 [07:19<01:40,  1.75it/s, loss=0.0238, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  82%|████████▎ | 825/1000 [07:19<01:40,  1.75it/s, loss=0.00572, lr=0.0004]\nSteps:  83%|████████▎ | 826/1000 [07:19<01:34,  1.84it/s, loss=0.00572, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  83%|████████▎ | 826/1000 [07:19<01:34,  1.84it/s, loss=0.0724, lr=0.0004] \nSteps:  83%|████████▎ | 827/1000 [07:20<01:32,  1.87it/s, loss=0.0724, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  83%|████████▎ | 827/1000 [07:20<01:32,  1.87it/s, loss=0.043, lr=0.0004] \nSteps:  83%|████████▎ | 828/1000 [07:20<01:39,  1.73it/s, loss=0.043, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  83%|████████▎ | 828/1000 [07:20<01:39,  1.73it/s, loss=0.0352, lr=0.0004]\nSteps:  83%|████████▎ | 829/1000 [07:21<01:32,  1.86it/s, loss=0.0352, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  83%|████████▎ | 829/1000 [07:21<01:32,  1.86it/s, loss=0.0859, lr=0.0004]\nSteps:  83%|████████▎ | 830/1000 [07:21<01:31,  1.86it/s, loss=0.0859, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  83%|████████▎ | 830/1000 [07:21<01:31,  1.86it/s, loss=0.0893, lr=0.0004]\nSteps:  83%|████████▎ | 831/1000 [07:22<01:34,  1.79it/s, loss=0.0893, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  83%|████████▎ | 831/1000 [07:22<01:34,  1.79it/s, loss=0.0065, lr=0.0004]\nSteps:  83%|████████▎ | 832/1000 [07:22<01:29,  1.87it/s, loss=0.0065, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  83%|████████▎ | 832/1000 [07:22<01:29,  1.87it/s, loss=0.0495, lr=0.0004]\nSteps:  83%|████████▎ | 833/1000 [07:23<01:27,  1.91it/s, loss=0.0495, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  83%|████████▎ | 833/1000 [07:23<01:27,  1.91it/s, loss=0.391, lr=0.0004] \nSteps:  83%|████████▎ | 834/1000 [07:23<01:23,  1.98it/s, loss=0.391, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  83%|████████▎ | 834/1000 [07:23<01:23,  1.98it/s, loss=0.376, lr=0.0004]\nSteps:  84%|████████▎ | 835/1000 [07:24<01:22,  2.00it/s, loss=0.376, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  84%|████████▎ | 835/1000 [07:24<01:22,  2.00it/s, loss=0.0116, lr=0.0004]\nSteps:  84%|████████▎ | 836/1000 [07:24<01:23,  1.97it/s, loss=0.0116, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  84%|████████▎ | 836/1000 [07:24<01:23,  1.97it/s, loss=0.0751, lr=0.0004]\nSteps:  84%|████████▎ | 837/1000 [07:25<01:19,  2.04it/s, loss=0.0751, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  84%|████████▎ | 837/1000 [07:25<01:19,  2.04it/s, loss=0.00595, lr=0.0004]\nSteps:  84%|████████▍ | 838/1000 [07:25<01:26,  1.87it/s, loss=0.00595, lr=0.0004]\na photo of my <s1><s2>\nSteps:  84%|████████▍ | 838/1000 [07:25<01:26,  1.87it/s, loss=0.00894, lr=0.0004]\nSteps:  84%|████████▍ | 839/1000 [07:26<01:22,  1.95it/s, loss=0.00894, lr=0.0004]\na photo of my <s1><s2>\nSteps:  84%|████████▍ | 839/1000 [07:26<01:22,  1.95it/s, loss=0.00529, lr=0.0004]\nSteps:  84%|████████▍ | 840/1000 [07:27<01:27,  1.83it/s, loss=0.00529, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  84%|████████▍ | 840/1000 [07:27<01:27,  1.83it/s, loss=0.00988, lr=0.0004]\nSteps:  84%|████████▍ | 841/1000 [07:27<01:22,  1.93it/s, loss=0.00988, lr=0.0004]\na photo of one <s1><s2>\nSteps:  84%|████████▍ | 841/1000 [07:27<01:22,  1.93it/s, loss=0.00688, lr=0.0004]\nSteps:  84%|████████▍ | 842/1000 [07:27<01:19,  1.99it/s, loss=0.00688, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  84%|████████▍ | 842/1000 [07:27<01:19,  1.99it/s, loss=0.0623, lr=0.0004] \nSteps:  84%|████████▍ | 843/1000 [07:28<01:19,  1.98it/s, loss=0.0623, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  84%|████████▍ | 843/1000 [07:28<01:19,  1.98it/s, loss=0.0132, lr=0.0004]\nSteps:  84%|████████▍ | 844/1000 [07:29<01:24,  1.85it/s, loss=0.0132, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  84%|████████▍ | 844/1000 [07:29<01:24,  1.85it/s, loss=0.0111, lr=0.0004]\nSteps:  84%|████████▍ | 845/1000 [07:29<01:21,  1.89it/s, loss=0.0111, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  84%|████████▍ | 845/1000 [07:29<01:21,  1.89it/s, loss=0.015, lr=0.0004] \nSteps:  85%|████████▍ | 846/1000 [07:30<01:18,  1.96it/s, loss=0.015, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  85%|████████▍ | 846/1000 [07:30<01:18,  1.96it/s, loss=0.106, lr=0.0004]\nSteps:  85%|████████▍ | 847/1000 [07:30<01:22,  1.85it/s, loss=0.106, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  85%|████████▍ | 847/1000 [07:30<01:22,  1.85it/s, loss=0.0126, lr=0.0004]\nSteps:  85%|████████▍ | 848/1000 [07:31<01:19,  1.91it/s, loss=0.0126, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  85%|████████▍ | 848/1000 [07:31<01:19,  1.91it/s, loss=0.00543, lr=0.0004]\nSteps:  85%|████████▍ | 849/1000 [07:31<01:17,  1.94it/s, loss=0.00543, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  85%|████████▍ | 849/1000 [07:31<01:17,  1.94it/s, loss=0.0257, lr=0.0004] \nSteps:  85%|████████▌ | 850/1000 [07:32<01:21,  1.83it/s, loss=0.0257, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  85%|████████▌ | 850/1000 [07:32<01:21,  1.83it/s, loss=0.00917, lr=0.0004]\nSteps:  85%|████████▌ | 851/1000 [07:32<01:17,  1.93it/s, loss=0.00917, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  85%|████████▌ | 851/1000 [07:32<01:17,  1.93it/s, loss=0.111, lr=0.0004]  \nSteps:  85%|████████▌ | 852/1000 [07:33<01:15,  1.97it/s, loss=0.111, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  85%|████████▌ | 852/1000 [07:33<01:15,  1.97it/s, loss=0.0604, lr=0.0004]\nSteps:  85%|████████▌ | 853/1000 [07:33<01:14,  1.96it/s, loss=0.0604, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  85%|████████▌ | 853/1000 [07:33<01:14,  1.96it/s, loss=0.0457, lr=0.0004]\nSteps:  85%|████████▌ | 854/1000 [07:34<01:19,  1.83it/s, loss=0.0457, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  85%|████████▌ | 854/1000 [07:34<01:19,  1.83it/s, loss=0.0359, lr=0.0004]\nSteps:  86%|████████▌ | 855/1000 [07:35<01:23,  1.73it/s, loss=0.0359, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  86%|████████▌ | 855/1000 [07:35<01:23,  1.73it/s, loss=0.00435, lr=0.0004]\nSteps:  86%|████████▌ | 856/1000 [07:35<01:23,  1.72it/s, loss=0.00435, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  86%|████████▌ | 856/1000 [07:35<01:23,  1.72it/s, loss=0.00302, lr=0.0004]\nSteps:  86%|████████▌ | 857/1000 [07:36<01:18,  1.83it/s, loss=0.00302, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  86%|████████▌ | 857/1000 [07:36<01:18,  1.83it/s, loss=0.0254, lr=0.0004] \nSteps:  86%|████████▌ | 858/1000 [07:36<01:14,  1.91it/s, loss=0.0254, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  86%|████████▌ | 858/1000 [07:36<01:14,  1.91it/s, loss=0.0084, lr=0.0004]\nSteps:  86%|████████▌ | 859/1000 [07:37<01:11,  1.98it/s, loss=0.0084, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  86%|████████▌ | 859/1000 [07:37<01:11,  1.98it/s, loss=0.166, lr=0.0004] \nSteps:  86%|████████▌ | 860/1000 [07:37<01:10,  1.98it/s, loss=0.166, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  86%|████████▌ | 860/1000 [07:37<01:10,  1.98it/s, loss=0.123, lr=0.0004]\nSteps:  86%|████████▌ | 861/1000 [07:38<01:09,  1.99it/s, loss=0.123, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  86%|████████▌ | 861/1000 [07:38<01:09,  1.99it/s, loss=0.0206, lr=0.0004]\nSteps:  86%|████████▌ | 862/1000 [07:38<01:08,  2.01it/s, loss=0.0206, lr=0.0004]\na photo of one <s1><s2>\nSteps:  86%|████████▌ | 862/1000 [07:38<01:08,  2.01it/s, loss=0.135, lr=0.0004] \nSteps:  86%|████████▋ | 863/1000 [07:38<01:06,  2.08it/s, loss=0.135, lr=0.0004]\na photo of the <s1><s2>\nSteps:  86%|████████▋ | 863/1000 [07:38<01:06,  2.08it/s, loss=0.0831, lr=0.0004]\nSteps:  86%|████████▋ | 864/1000 [07:39<01:04,  2.12it/s, loss=0.0831, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  86%|████████▋ | 864/1000 [07:39<01:04,  2.12it/s, loss=0.0198, lr=0.0004]\nSteps:  86%|████████▋ | 865/1000 [07:39<01:05,  2.08it/s, loss=0.0198, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  86%|████████▋ | 865/1000 [07:39<01:05,  2.08it/s, loss=0.0222, lr=0.0004]\nSteps:  87%|████████▋ | 866/1000 [07:40<01:02,  2.13it/s, loss=0.0222, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  87%|████████▋ | 866/1000 [07:40<01:02,  2.13it/s, loss=0.228, lr=0.0004] \nSteps:  87%|████████▋ | 867/1000 [07:41<01:12,  1.85it/s, loss=0.228, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  87%|████████▋ | 867/1000 [07:41<01:12,  1.85it/s, loss=0.0184, lr=0.0004]\nSteps:  87%|████████▋ | 868/1000 [07:41<01:14,  1.76it/s, loss=0.0184, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  87%|████████▋ | 868/1000 [07:41<01:14,  1.76it/s, loss=0.00189, lr=0.0004]\nSteps:  87%|████████▋ | 869/1000 [07:42<01:16,  1.72it/s, loss=0.00189, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  87%|████████▋ | 869/1000 [07:42<01:16,  1.72it/s, loss=0.00671, lr=0.0004]\nSteps:  87%|████████▋ | 870/1000 [07:42<01:11,  1.82it/s, loss=0.00671, lr=0.0004]\na photo of my <s1><s2>\nSteps:  87%|████████▋ | 870/1000 [07:42<01:11,  1.82it/s, loss=0.0214, lr=0.0004] \nSteps:  87%|████████▋ | 871/1000 [07:43<01:10,  1.83it/s, loss=0.0214, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  87%|████████▋ | 871/1000 [07:43<01:10,  1.83it/s, loss=0.0416, lr=0.0004]\nSteps:  87%|████████▋ | 872/1000 [07:43<01:06,  1.92it/s, loss=0.0416, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  87%|████████▋ | 872/1000 [07:43<01:06,  1.92it/s, loss=0.0209, lr=0.0004]\nSteps:  87%|████████▋ | 873/1000 [07:44<01:09,  1.82it/s, loss=0.0209, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  87%|████████▋ | 873/1000 [07:44<01:09,  1.82it/s, loss=0.0127, lr=0.0004]\nSteps:  87%|████████▋ | 874/1000 [07:44<01:05,  1.92it/s, loss=0.0127, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  87%|████████▋ | 874/1000 [07:44<01:05,  1.92it/s, loss=0.0825, lr=0.0004]\nSteps:  88%|████████▊ | 875/1000 [07:45<01:02,  1.99it/s, loss=0.0825, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  88%|████████▊ | 875/1000 [07:45<01:02,  1.99it/s, loss=0.148, lr=0.0004] \nSteps:  88%|████████▊ | 876/1000 [07:45<01:01,  2.03it/s, loss=0.148, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  88%|████████▊ | 876/1000 [07:45<01:01,  2.03it/s, loss=0.178, lr=0.0004]\nSteps:  88%|████████▊ | 877/1000 [07:46<01:06,  1.86it/s, loss=0.178, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  88%|████████▊ | 877/1000 [07:46<01:06,  1.86it/s, loss=0.0377, lr=0.0004]\nSteps:  88%|████████▊ | 878/1000 [07:46<01:02,  1.97it/s, loss=0.0377, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  88%|████████▊ | 878/1000 [07:46<01:02,  1.97it/s, loss=0.0439, lr=0.0004]\nSteps:  88%|████████▊ | 879/1000 [07:47<01:01,  1.97it/s, loss=0.0439, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  88%|████████▊ | 879/1000 [07:47<01:01,  1.97it/s, loss=0.00695, lr=0.0004]\nSteps:  88%|████████▊ | 880/1000 [07:47<01:00,  1.98it/s, loss=0.00695, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  88%|████████▊ | 880/1000 [07:47<01:00,  1.98it/s, loss=0.0209, lr=0.0004] \nSteps:  88%|████████▊ | 881/1000 [07:48<00:59,  2.01it/s, loss=0.0209, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  88%|████████▊ | 881/1000 [07:48<00:59,  2.01it/s, loss=0.0337, lr=0.0004]\nSteps:  88%|████████▊ | 882/1000 [07:48<01:02,  1.88it/s, loss=0.0337, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  88%|████████▊ | 882/1000 [07:48<01:02,  1.88it/s, loss=0.0214, lr=0.0004]\nSteps:  88%|████████▊ | 883/1000 [07:49<01:04,  1.80it/s, loss=0.0214, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  88%|████████▊ | 883/1000 [07:49<01:04,  1.80it/s, loss=0.00829, lr=0.0004]\nSteps:  88%|████████▊ | 884/1000 [07:50<01:02,  1.86it/s, loss=0.00829, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  88%|████████▊ | 884/1000 [07:50<01:02,  1.86it/s, loss=0.0154, lr=0.0004] \nSteps:  88%|████████▊ | 885/1000 [07:50<01:04,  1.77it/s, loss=0.0154, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  88%|████████▊ | 885/1000 [07:50<01:04,  1.77it/s, loss=0.012, lr=0.0004] \nSteps:  89%|████████▊ | 886/1000 [07:51<01:01,  1.85it/s, loss=0.012, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  89%|████████▊ | 886/1000 [07:51<01:01,  1.85it/s, loss=0.00837, lr=0.0004]\nSteps:  89%|████████▊ | 887/1000 [07:51<01:00,  1.86it/s, loss=0.00837, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  89%|████████▊ | 887/1000 [07:51<01:00,  1.86it/s, loss=0.013, lr=0.0004]  \nSteps:  89%|████████▉ | 888/1000 [07:52<00:57,  1.95it/s, loss=0.013, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  89%|████████▉ | 888/1000 [07:52<00:57,  1.95it/s, loss=0.121, lr=0.0004]\nSteps:  89%|████████▉ | 889/1000 [07:52<00:58,  1.91it/s, loss=0.121, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  89%|████████▉ | 889/1000 [07:52<00:58,  1.91it/s, loss=0.0634, lr=0.0004]\nSteps:  89%|████████▉ | 890/1000 [07:53<00:59,  1.84it/s, loss=0.0634, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  89%|████████▉ | 890/1000 [07:53<00:59,  1.84it/s, loss=0.0413, lr=0.0004]\nSteps:  89%|████████▉ | 891/1000 [07:53<00:55,  1.95it/s, loss=0.0413, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps:  89%|████████▉ | 891/1000 [07:53<00:55,  1.95it/s, loss=0.0129, lr=0.0004]\nSteps:  89%|████████▉ | 892/1000 [07:54<00:54,  2.00it/s, loss=0.0129, lr=0.0004]\na photo of the <s1><s2>\nSteps:  89%|████████▉ | 892/1000 [07:54<00:54,  2.00it/s, loss=0.0288, lr=0.0004]\nSteps:  89%|████████▉ | 893/1000 [07:54<00:53,  2.01it/s, loss=0.0288, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  89%|████████▉ | 893/1000 [07:54<00:53,  2.01it/s, loss=0.0179, lr=0.0004]\nSteps:  89%|████████▉ | 894/1000 [07:55<00:52,  2.03it/s, loss=0.0179, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  89%|████████▉ | 894/1000 [07:55<00:52,  2.03it/s, loss=0.00358, lr=0.0004]\nSteps:  90%|████████▉ | 895/1000 [07:55<00:50,  2.08it/s, loss=0.00358, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  90%|████████▉ | 895/1000 [07:55<00:50,  2.08it/s, loss=0.0285, lr=0.0004] \nSteps:  90%|████████▉ | 896/1000 [07:56<00:54,  1.92it/s, loss=0.0285, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  90%|████████▉ | 896/1000 [07:56<00:54,  1.92it/s, loss=0.00938, lr=0.0004]\nSteps:  90%|████████▉ | 897/1000 [07:56<00:51,  2.00it/s, loss=0.00938, lr=0.0004]\na photo of one <s1><s2>\nSteps:  90%|████████▉ | 897/1000 [07:56<00:51,  2.00it/s, loss=0.0248, lr=0.0004] \nSteps:  90%|████████▉ | 898/1000 [07:57<00:53,  1.92it/s, loss=0.0248, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  90%|████████▉ | 898/1000 [07:57<00:53,  1.92it/s, loss=0.0346, lr=0.0004]\nSteps:  90%|████████▉ | 899/1000 [07:57<00:51,  1.97it/s, loss=0.0346, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  90%|████████▉ | 899/1000 [07:57<00:51,  1.97it/s, loss=0.0034, lr=0.0004]\nSteps:  90%|█████████ | 900/1000 [07:58<00:49,  2.02it/s, loss=0.0034, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  90%|█████████ | 900/1000 [07:58<00:49,  2.02it/s, loss=0.194, lr=0.0004] \nSteps:  90%|█████████ | 901/1000 [07:58<00:47,  2.07it/s, loss=0.194, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  90%|█████████ | 901/1000 [07:58<00:47,  2.07it/s, loss=0.0765, lr=0.0004]\nSteps:  90%|█████████ | 902/1000 [07:59<00:52,  1.85it/s, loss=0.0765, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  90%|█████████ | 902/1000 [07:59<00:52,  1.85it/s, loss=0.00323, lr=0.0004]\nSteps:  90%|█████████ | 903/1000 [08:00<00:56,  1.70it/s, loss=0.00323, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  90%|█████████ | 903/1000 [08:00<00:56,  1.70it/s, loss=0.00791, lr=0.0004]\nSteps:  90%|█████████ | 904/1000 [08:00<00:53,  1.80it/s, loss=0.00791, lr=0.0004]\na photo of one <s1><s2>\nSteps:  90%|█████████ | 904/1000 [08:00<00:53,  1.80it/s, loss=0.0543, lr=0.0004] \nSteps:  90%|█████████ | 905/1000 [08:01<00:54,  1.74it/s, loss=0.0543, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  90%|█████████ | 905/1000 [08:01<00:54,  1.74it/s, loss=0.0175, lr=0.0004]\nSteps:  91%|█████████ | 906/1000 [08:01<00:55,  1.70it/s, loss=0.0175, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  91%|█████████ | 906/1000 [08:01<00:55,  1.70it/s, loss=0.00203, lr=0.0004]\nSteps:  91%|█████████ | 907/1000 [08:02<00:52,  1.76it/s, loss=0.00203, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  91%|█████████ | 907/1000 [08:02<00:52,  1.76it/s, loss=0.0285, lr=0.0004] \nSteps:  91%|█████████ | 908/1000 [08:02<00:49,  1.85it/s, loss=0.0285, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  91%|█████████ | 908/1000 [08:02<00:49,  1.85it/s, loss=0.0831, lr=0.0004]\nSteps:  91%|█████████ | 909/1000 [08:03<00:47,  1.90it/s, loss=0.0831, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  91%|█████████ | 909/1000 [08:03<00:47,  1.90it/s, loss=0.00561, lr=0.0004]\nSteps:  91%|█████████ | 910/1000 [08:03<00:47,  1.90it/s, loss=0.00561, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  91%|█████████ | 910/1000 [08:03<00:47,  1.90it/s, loss=0.00501, lr=0.0004]\nSteps:  91%|█████████ | 911/1000 [08:04<00:45,  1.97it/s, loss=0.00501, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  91%|█████████ | 911/1000 [08:04<00:45,  1.97it/s, loss=0.275, lr=0.0004]  \nSteps:  91%|█████████ | 912/1000 [08:04<00:47,  1.83it/s, loss=0.275, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  91%|█████████ | 912/1000 [08:04<00:47,  1.83it/s, loss=0.0136, lr=0.0004]\nSteps:  91%|█████████▏| 913/1000 [08:05<00:51,  1.68it/s, loss=0.0136, lr=0.0004]\na photo of one <s1><s2>\nSteps:  91%|█████████▏| 913/1000 [08:05<00:51,  1.68it/s, loss=0.0033, lr=0.0004]\nSteps:  91%|█████████▏| 914/1000 [08:06<00:48,  1.78it/s, loss=0.0033, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  91%|█████████▏| 914/1000 [08:06<00:48,  1.78it/s, loss=0.0254, lr=0.0004]\nSteps:  92%|█████████▏| 915/1000 [08:06<00:45,  1.87it/s, loss=0.0254, lr=0.0004]\na photo of the <s1><s2>\nSteps:  92%|█████████▏| 915/1000 [08:06<00:45,  1.87it/s, loss=0.00536, lr=0.0004]\nSteps:  92%|█████████▏| 916/1000 [08:07<00:43,  1.91it/s, loss=0.00536, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  92%|█████████▏| 916/1000 [08:07<00:43,  1.91it/s, loss=0.0445, lr=0.0004] \nSteps:  92%|█████████▏| 917/1000 [08:07<00:41,  1.98it/s, loss=0.0445, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  92%|█████████▏| 917/1000 [08:07<00:41,  1.98it/s, loss=0.113, lr=0.0004] \nSteps:  92%|█████████▏| 918/1000 [08:07<00:40,  2.04it/s, loss=0.113, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  92%|█████████▏| 918/1000 [08:07<00:40,  2.04it/s, loss=0.0677, lr=0.0004]\nSteps:  92%|█████████▏| 919/1000 [08:08<00:39,  2.06it/s, loss=0.0677, lr=0.0004]\na photo of the cool <s1><s2>\nSteps:  92%|█████████▏| 919/1000 [08:08<00:39,  2.06it/s, loss=0.137, lr=0.0004] \nSteps:  92%|█████████▏| 920/1000 [08:08<00:39,  2.05it/s, loss=0.137, lr=0.0004]\na photo of my <s1><s2>\nSteps:  92%|█████████▏| 920/1000 [08:08<00:39,  2.05it/s, loss=0.0165, lr=0.0004]\nSteps:  92%|█████████▏| 921/1000 [08:09<00:37,  2.08it/s, loss=0.0165, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  92%|█████████▏| 921/1000 [08:09<00:37,  2.08it/s, loss=0.00415, lr=0.0004]\nSteps:  92%|█████████▏| 922/1000 [08:09<00:38,  2.02it/s, loss=0.00415, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  92%|█████████▏| 922/1000 [08:09<00:38,  2.02it/s, loss=0.00584, lr=0.0004]\nSteps:  92%|█████████▏| 923/1000 [08:10<00:41,  1.87it/s, loss=0.00584, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  92%|█████████▏| 923/1000 [08:10<00:41,  1.87it/s, loss=0.0228, lr=0.0004] \nSteps:  92%|█████████▏| 924/1000 [08:11<00:42,  1.77it/s, loss=0.0228, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  92%|█████████▏| 924/1000 [08:11<00:42,  1.77it/s, loss=0.0145, lr=0.0004]\nSteps:  92%|█████████▎| 925/1000 [08:11<00:41,  1.82it/s, loss=0.0145, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  92%|█████████▎| 925/1000 [08:11<00:41,  1.82it/s, loss=0.0893, lr=0.0004]\nSteps:  93%|█████████▎| 926/1000 [08:12<00:39,  1.89it/s, loss=0.0893, lr=0.0004]\nthe photo of a <s1><s2>\nSteps:  93%|█████████▎| 926/1000 [08:12<00:39,  1.89it/s, loss=0.0326, lr=0.0004]\nSteps:  93%|█████████▎| 927/1000 [08:12<00:37,  1.95it/s, loss=0.0326, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  93%|█████████▎| 927/1000 [08:12<00:37,  1.95it/s, loss=0.0769, lr=0.0004]\nSteps:  93%|█████████▎| 928/1000 [08:13<00:40,  1.77it/s, loss=0.0769, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  93%|█████████▎| 928/1000 [08:13<00:40,  1.77it/s, loss=0.0192, lr=0.0004]\nSteps:  93%|█████████▎| 929/1000 [08:13<00:37,  1.89it/s, loss=0.0192, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  93%|█████████▎| 929/1000 [08:13<00:37,  1.89it/s, loss=0.61, lr=0.0004]  \nSteps:  93%|█████████▎| 930/1000 [08:14<00:38,  1.82it/s, loss=0.61, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  93%|█████████▎| 930/1000 [08:14<00:38,  1.82it/s, loss=0.0116, lr=0.0004]\nSteps:  93%|█████████▎| 931/1000 [08:14<00:36,  1.91it/s, loss=0.0116, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  93%|█████████▎| 931/1000 [08:14<00:36,  1.91it/s, loss=0.0774, lr=0.0004]\nSteps:  93%|█████████▎| 932/1000 [08:15<00:35,  1.94it/s, loss=0.0774, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  93%|█████████▎| 932/1000 [08:15<00:35,  1.94it/s, loss=0.0485, lr=0.0004]\nSteps:  93%|█████████▎| 933/1000 [08:15<00:34,  1.95it/s, loss=0.0485, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  93%|█████████▎| 933/1000 [08:15<00:34,  1.95it/s, loss=0.064, lr=0.0004] \nSteps:  93%|█████████▎| 934/1000 [08:16<00:33,  1.99it/s, loss=0.064, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  93%|█████████▎| 934/1000 [08:16<00:33,  1.99it/s, loss=0.059, lr=0.0004]\nSteps:  94%|█████████▎| 935/1000 [08:16<00:35,  1.82it/s, loss=0.059, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  94%|█████████▎| 935/1000 [08:16<00:35,  1.82it/s, loss=0.0171, lr=0.0004]\nSteps:  94%|█████████▎| 936/1000 [08:17<00:34,  1.86it/s, loss=0.0171, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  94%|█████████▎| 936/1000 [08:17<00:34,  1.86it/s, loss=0.0432, lr=0.0004]\nSteps:  94%|█████████▎| 937/1000 [08:17<00:32,  1.91it/s, loss=0.0432, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  94%|█████████▎| 937/1000 [08:17<00:32,  1.91it/s, loss=0.0171, lr=0.0004]\nSteps:  94%|█████████▍| 938/1000 [08:18<00:34,  1.79it/s, loss=0.0171, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  94%|█████████▍| 938/1000 [08:18<00:34,  1.79it/s, loss=0.00676, lr=0.0004]\nSteps:  94%|█████████▍| 939/1000 [08:19<00:35,  1.70it/s, loss=0.00676, lr=0.0004]\na rendition of a <s1><s2>\nSteps:  94%|█████████▍| 939/1000 [08:19<00:35,  1.70it/s, loss=0.00282, lr=0.0004]\nSteps:  94%|█████████▍| 940/1000 [08:19<00:34,  1.75it/s, loss=0.00282, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  94%|█████████▍| 940/1000 [08:19<00:34,  1.75it/s, loss=0.00309, lr=0.0004]\nSteps:  94%|█████████▍| 941/1000 [08:20<00:32,  1.82it/s, loss=0.00309, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  94%|█████████▍| 941/1000 [08:20<00:32,  1.82it/s, loss=0.00602, lr=0.0004]\nSteps:  94%|█████████▍| 942/1000 [08:20<00:30,  1.91it/s, loss=0.00602, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  94%|█████████▍| 942/1000 [08:20<00:30,  1.91it/s, loss=0.164, lr=0.0004]  \nSteps:  94%|█████████▍| 943/1000 [08:21<00:31,  1.82it/s, loss=0.164, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  94%|█████████▍| 943/1000 [08:21<00:31,  1.82it/s, loss=0.0044, lr=0.0004]\nSteps:  94%|█████████▍| 944/1000 [08:21<00:30,  1.85it/s, loss=0.0044, lr=0.0004]\na photo of the weird <s1><s2>\nSteps:  94%|█████████▍| 944/1000 [08:21<00:30,  1.85it/s, loss=0.0446, lr=0.0004]\nSteps:  94%|█████████▍| 945/1000 [08:22<00:29,  1.88it/s, loss=0.0446, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  94%|█████████▍| 945/1000 [08:22<00:29,  1.88it/s, loss=0.0301, lr=0.0004]\nSteps:  95%|█████████▍| 946/1000 [08:22<00:29,  1.86it/s, loss=0.0301, lr=0.0004]\na photo of the small <s1><s2>\nSteps:  95%|█████████▍| 946/1000 [08:22<00:29,  1.86it/s, loss=0.056, lr=0.0004] \nSteps:  95%|█████████▍| 947/1000 [08:23<00:28,  1.87it/s, loss=0.056, lr=0.0004]\na good photo of the <s1><s2>\nSteps:  95%|█████████▍| 947/1000 [08:23<00:28,  1.87it/s, loss=0.00495, lr=0.0004]\nSteps:  95%|█████████▍| 948/1000 [08:24<00:27,  1.90it/s, loss=0.00495, lr=0.0004]\na photo of the <s1><s2>\nSteps:  95%|█████████▍| 948/1000 [08:24<00:27,  1.90it/s, loss=0.00259, lr=0.0004]\nSteps:  95%|█████████▍| 949/1000 [08:24<00:27,  1.82it/s, loss=0.00259, lr=0.0004]\na photo of one <s1><s2>\nSteps:  95%|█████████▍| 949/1000 [08:24<00:27,  1.82it/s, loss=0.0143, lr=0.0004] \nSteps:  95%|█████████▌| 950/1000 [08:25<00:26,  1.89it/s, loss=0.0143, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  95%|█████████▌| 950/1000 [08:25<00:26,  1.89it/s, loss=0.0324, lr=0.0004]\nSteps:  95%|█████████▌| 951/1000 [08:25<00:28,  1.73it/s, loss=0.0324, lr=0.0004]\na photo of one <s1><s2>\nSteps:  95%|█████████▌| 951/1000 [08:25<00:28,  1.73it/s, loss=0.0114, lr=0.0004]\nSteps:  95%|█████████▌| 952/1000 [08:26<00:26,  1.81it/s, loss=0.0114, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  95%|█████████▌| 952/1000 [08:26<00:26,  1.81it/s, loss=0.0151, lr=0.0004]\nSteps:  95%|█████████▌| 953/1000 [08:26<00:26,  1.76it/s, loss=0.0151, lr=0.0004]\na photo of the <s1><s2>\nSteps:  95%|█████████▌| 953/1000 [08:26<00:26,  1.76it/s, loss=0.00789, lr=0.0004]\nSteps:  95%|█████████▌| 954/1000 [08:27<00:25,  1.84it/s, loss=0.00789, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  95%|█████████▌| 954/1000 [08:27<00:25,  1.84it/s, loss=0.0327, lr=0.0004] \nSteps:  96%|█████████▌| 955/1000 [08:27<00:24,  1.84it/s, loss=0.0327, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  96%|█████████▌| 955/1000 [08:27<00:24,  1.84it/s, loss=0.0411, lr=0.0004]\nSteps:  96%|█████████▌| 956/1000 [08:28<00:25,  1.75it/s, loss=0.0411, lr=0.0004]\na rendering of a <s1><s2>\nSteps:  96%|█████████▌| 956/1000 [08:28<00:25,  1.75it/s, loss=0.0252, lr=0.0004]\nSteps:  96%|█████████▌| 957/1000 [08:29<00:23,  1.83it/s, loss=0.0252, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  96%|█████████▌| 957/1000 [08:29<00:23,  1.83it/s, loss=0.0794, lr=0.0004]\nSteps:  96%|█████████▌| 958/1000 [08:29<00:22,  1.88it/s, loss=0.0794, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  96%|█████████▌| 958/1000 [08:29<00:22,  1.88it/s, loss=0.0863, lr=0.0004]\nSteps:  96%|█████████▌| 959/1000 [08:30<00:21,  1.93it/s, loss=0.0863, lr=0.0004]\na photo of the <s1><s2>\nSteps:  96%|█████████▌| 959/1000 [08:30<00:21,  1.93it/s, loss=0.0245, lr=0.0004]\nSteps:  96%|█████████▌| 960/1000 [08:30<00:22,  1.77it/s, loss=0.0245, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  96%|█████████▌| 960/1000 [08:30<00:22,  1.77it/s, loss=0.0471, lr=0.0004]\nSteps:  96%|█████████▌| 961/1000 [08:31<00:21,  1.79it/s, loss=0.0471, lr=0.0004]\na close-up photo of a <s1><s2>\nSteps:  96%|█████████▌| 961/1000 [08:31<00:21,  1.79it/s, loss=0.0218, lr=0.0004]\nSteps:  96%|█████████▌| 962/1000 [08:31<00:20,  1.86it/s, loss=0.0218, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  96%|█████████▌| 962/1000 [08:31<00:20,  1.86it/s, loss=0.265, lr=0.0004] \nSteps:  96%|█████████▋| 963/1000 [08:32<00:19,  1.88it/s, loss=0.265, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  96%|█████████▋| 963/1000 [08:32<00:19,  1.88it/s, loss=0.0169, lr=0.0004]\nSteps:  96%|█████████▋| 964/1000 [08:32<00:18,  1.97it/s, loss=0.0169, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  96%|█████████▋| 964/1000 [08:32<00:18,  1.97it/s, loss=0.126, lr=0.0004] \nSteps:  96%|█████████▋| 965/1000 [08:33<00:17,  1.97it/s, loss=0.126, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  96%|█████████▋| 965/1000 [08:33<00:17,  1.97it/s, loss=0.039, lr=0.0004]\nSteps:  97%|█████████▋| 966/1000 [08:33<00:18,  1.85it/s, loss=0.039, lr=0.0004]\na photo of the <s1><s2>\nSteps:  97%|█████████▋| 966/1000 [08:33<00:18,  1.85it/s, loss=0.00825, lr=0.0004]\nSteps:  97%|█████████▋| 967/1000 [08:34<00:19,  1.69it/s, loss=0.00825, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  97%|█████████▋| 967/1000 [08:34<00:19,  1.69it/s, loss=0.0322, lr=0.0004] \nSteps:  97%|█████████▋| 968/1000 [08:35<00:17,  1.79it/s, loss=0.0322, lr=0.0004]\na photo of my <s1><s2>\nSteps:  97%|█████████▋| 968/1000 [08:35<00:17,  1.79it/s, loss=0.0482, lr=0.0004]\nSteps:  97%|█████████▋| 969/1000 [08:35<00:18,  1.72it/s, loss=0.0482, lr=0.0004]\na photo of a <s1><s2>\nSteps:  97%|█████████▋| 969/1000 [08:35<00:18,  1.72it/s, loss=0.0154, lr=0.0004]\nSteps:  97%|█████████▋| 970/1000 [08:36<00:16,  1.83it/s, loss=0.0154, lr=0.0004]\na photo of a small <s1><s2>\nSteps:  97%|█████████▋| 970/1000 [08:36<00:16,  1.83it/s, loss=0.013, lr=0.0004] \nSteps:  97%|█████████▋| 971/1000 [08:36<00:15,  1.87it/s, loss=0.013, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  97%|█████████▋| 971/1000 [08:36<00:15,  1.87it/s, loss=0.0367, lr=0.0004]\nSteps:  97%|█████████▋| 972/1000 [08:37<00:14,  1.92it/s, loss=0.0367, lr=0.0004]\na dark photo of the <s1><s2>\nSteps:  97%|█████████▋| 972/1000 [08:37<00:14,  1.92it/s, loss=0.00972, lr=0.0004]\nSteps:  97%|█████████▋| 973/1000 [08:37<00:13,  1.95it/s, loss=0.00972, lr=0.0004]\na photo of the nice <s1><s2>\nSteps:  97%|█████████▋| 973/1000 [08:37<00:13,  1.95it/s, loss=0.0261, lr=0.0004] \nSteps:  97%|█████████▋| 974/1000 [08:38<00:13,  1.93it/s, loss=0.0261, lr=0.0004]\na photo of my <s1><s2>\nSteps:  97%|█████████▋| 974/1000 [08:38<00:13,  1.93it/s, loss=0.0559, lr=0.0004]\nSteps:  98%|█████████▊| 975/1000 [08:38<00:13,  1.82it/s, loss=0.0559, lr=0.0004]\na photo of a dirty <s1><s2>\nSteps:  98%|█████████▊| 975/1000 [08:38<00:13,  1.82it/s, loss=0.0151, lr=0.0004]\nSteps:  98%|█████████▊| 976/1000 [08:39<00:13,  1.83it/s, loss=0.0151, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  98%|█████████▊| 976/1000 [08:39<00:13,  1.83it/s, loss=0.0069, lr=0.0004]\nSteps:  98%|█████████▊| 977/1000 [08:39<00:12,  1.89it/s, loss=0.0069, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  98%|█████████▊| 977/1000 [08:39<00:12,  1.89it/s, loss=0.0313, lr=0.0004]\nSteps:  98%|█████████▊| 978/1000 [08:40<00:11,  1.96it/s, loss=0.0313, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  98%|█████████▊| 978/1000 [08:40<00:11,  1.96it/s, loss=0.0345, lr=0.0004]\nSteps:  98%|█████████▊| 979/1000 [08:40<00:10,  2.00it/s, loss=0.0345, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  98%|█████████▊| 979/1000 [08:40<00:10,  2.00it/s, loss=0.041, lr=0.0004] \nSteps:  98%|█████████▊| 980/1000 [08:41<00:10,  1.82it/s, loss=0.041, lr=0.0004]\na good photo of a <s1><s2>\nSteps:  98%|█████████▊| 980/1000 [08:41<00:10,  1.82it/s, loss=0.00499, lr=0.0004]\nSteps:  98%|█████████▊| 981/1000 [08:41<00:10,  1.87it/s, loss=0.00499, lr=0.0004]\na rendition of the <s1><s2>\nSteps:  98%|█████████▊| 981/1000 [08:41<00:10,  1.87it/s, loss=0.00718, lr=0.0004]\nSteps:  98%|█████████▊| 982/1000 [08:42<00:09,  1.90it/s, loss=0.00718, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  98%|█████████▊| 982/1000 [08:42<00:09,  1.90it/s, loss=0.00466, lr=0.0004]\nSteps:  98%|█████████▊| 983/1000 [08:42<00:08,  1.92it/s, loss=0.00466, lr=0.0004]\na photo of the large <s1><s2>\nSteps:  98%|█████████▊| 983/1000 [08:42<00:08,  1.92it/s, loss=0.00924, lr=0.0004]\nSteps:  98%|█████████▊| 984/1000 [08:43<00:08,  1.80it/s, loss=0.00924, lr=0.0004]\na photo of one <s1><s2>\nSteps:  98%|█████████▊| 984/1000 [08:43<00:08,  1.80it/s, loss=0.0259, lr=0.0004] \nSteps:  98%|█████████▊| 985/1000 [08:44<00:08,  1.76it/s, loss=0.0259, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  98%|█████████▊| 985/1000 [08:44<00:08,  1.76it/s, loss=0.0268, lr=0.0004]\nSteps:  99%|█████████▊| 986/1000 [08:44<00:07,  1.85it/s, loss=0.0268, lr=0.0004]\na bright photo of the <s1><s2>\nSteps:  99%|█████████▊| 986/1000 [08:44<00:07,  1.85it/s, loss=0.00351, lr=0.0004]\nSteps:  99%|█████████▊| 987/1000 [08:45<00:06,  1.93it/s, loss=0.00351, lr=0.0004]\na photo of a nice <s1><s2>\nSteps:  99%|█████████▊| 987/1000 [08:45<00:06,  1.93it/s, loss=0.322, lr=0.0004]  \nSteps:  99%|█████████▉| 988/1000 [08:45<00:06,  1.97it/s, loss=0.322, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  99%|█████████▉| 988/1000 [08:45<00:06,  1.97it/s, loss=0.0978, lr=0.0004]\nSteps:  99%|█████████▉| 989/1000 [08:46<00:05,  2.02it/s, loss=0.0978, lr=0.0004]\na photo of a cool <s1><s2>\nSteps:  99%|█████████▉| 989/1000 [08:46<00:05,  2.02it/s, loss=0.0232, lr=0.0004]\nSteps:  99%|█████████▉| 990/1000 [08:46<00:04,  2.09it/s, loss=0.0232, lr=0.0004]\na cropped photo of a <s1><s2>\nSteps:  99%|█████████▉| 990/1000 [08:46<00:04,  2.09it/s, loss=0.108, lr=0.0004] \nSteps:  99%|█████████▉| 991/1000 [08:47<00:04,  1.92it/s, loss=0.108, lr=0.0004]\na photo of the clean <s1><s2>\nSteps:  99%|█████████▉| 991/1000 [08:47<00:04,  1.92it/s, loss=0.0106, lr=0.0004]\nSteps:  99%|█████████▉| 992/1000 [08:47<00:04,  1.89it/s, loss=0.0106, lr=0.0004]\na photo of the <s1><s2>\nSteps:  99%|█████████▉| 992/1000 [08:47<00:04,  1.89it/s, loss=0.00767, lr=0.0004]\nSteps:  99%|█████████▉| 993/1000 [08:48<00:03,  1.98it/s, loss=0.00767, lr=0.0004]\na photo of a clean <s1><s2>\nSteps:  99%|█████████▉| 993/1000 [08:48<00:03,  1.98it/s, loss=0.0662, lr=0.0004] \nSteps:  99%|█████████▉| 994/1000 [08:48<00:03,  1.84it/s, loss=0.0662, lr=0.0004]\na close-up photo of the <s1><s2>\nSteps:  99%|█████████▉| 994/1000 [08:48<00:03,  1.84it/s, loss=0.0105, lr=0.0004]\nSteps: 100%|█████████▉| 995/1000 [08:49<00:02,  1.89it/s, loss=0.0105, lr=0.0004]\na photo of the large <s1><s2>\nSteps: 100%|█████████▉| 995/1000 [08:49<00:02,  1.89it/s, loss=0.0157, lr=0.0004]\nSteps: 100%|█████████▉| 996/1000 [08:49<00:02,  1.94it/s, loss=0.0157, lr=0.0004]\na cropped photo of the <s1><s2>\nSteps: 100%|█████████▉| 996/1000 [08:49<00:02,  1.94it/s, loss=0.119, lr=0.0004] \nSteps: 100%|█████████▉| 997/1000 [08:50<00:01,  1.97it/s, loss=0.119, lr=0.0004]\na photo of the cool <s1><s2>\nSteps: 100%|█████████▉| 997/1000 [08:50<00:01,  1.97it/s, loss=0.0204, lr=0.0004]\nSteps: 100%|█████████▉| 998/1000 [08:50<00:01,  1.84it/s, loss=0.0204, lr=0.0004]\na good photo of a <s1><s2>\nSteps: 100%|█████████▉| 998/1000 [08:50<00:01,  1.84it/s, loss=0.00656, lr=0.0004]\nSteps: 100%|█████████▉| 999/1000 [08:51<00:00,  1.74it/s, loss=0.00656, lr=0.0004]\nthe photo of a <s1><s2>\nSteps: 100%|█████████▉| 999/1000 [08:51<00:00,  1.74it/s, loss=0.0391, lr=0.0004] \nSteps: 100%|██████████| 1000/1000 [08:51<00:00,  1.85it/s, loss=0.0391, lr=0.0004]\nCurrent Learned Embeddings for <s1>:, id 49408  tensor([ 0.0001,  0.0033, -0.0144,  0.0123], device='cuda:0')\nCurrent Learned Embeddings for <s2>:, id 49409  tensor([-0.0261,  0.0331,  0.0063, -0.0012], device='cuda:0')\nSaving weights to checkpoints/step_1000.safetensors\nLORA Unet Moved 0.002899408107623458\nLORA CLIP Moved 0.0002070308692054823\nCurrent Learned Embeddings for <s1>:, id 49408  tensor([ 0.0001,  0.0033, -0.0144,  0.0123], device='cuda:0')\nCurrent Learned Embeddings for <s2>:, id 49409  tensor([-0.0261,  0.0331,  0.0063, -0.0012], device='cuda:0')\nSaving weights to checkpoints/final_lora.safetensors\nSteps: 100%|██████████| 1000/1000 [08:51<00:00,  1.85it/s, loss=0.112, lr=0.0004] \nSteps: 100%|██████████| 1000/1000 [08:52<00:00,  1.88it/s, loss=0.112, lr=0.0004]",
  "output": "https://replicate.delivery/pbxt/tLNfiG3fK2jZo0CrBG4cNTJNhEi7r117ANUBjWrLTkQRMraQA/tmpg9tq4is5me.safetensors",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-02-03T12:26:46.421077Z",
  "started_at": "2023-02-03T12:30:12.445472Z",
  "completed_at": "2023-02-03T12:41:54.159799Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/jragv6ngtbfexgz4t63x6hac7a/cancel",
    "get": "https://api.replicate.com/v1/predictions/jragv6ngtbfexgz4t63x6hac7a"
  },
  "metrics": {
    "predict_time": 701.714327,
    "total_time": 907.738722
  }
}