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multigen/run_010/Eval/eval.log.rank0

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+[2026-06-13 03:19:58] [RANK-0] [INFO] Loading PixArt-Sigma pipeline from RESULTS/multigen/run_010 ...
+[2026-06-13 03:20:05] [RANK-0] [INFO] Loading InceptionV3 (FID dim=64) ...
+[2026-06-13 03:20:06] [RANK-0] [INFO] Loading CLIP (ViT-B/32) ...
+[2026-06-13 03:20:09] [RANK-0] [INFO] Loading LPIPS ...
+[2026-06-13 03:20:09] [RANK-0] [INFO] Loading PickScore ...
+[2026-06-13 03:20:16] [RANK-0] [INFO] Loading HPSv2 (v2.0) ...
+[2026-06-13 03:20:33] [RANK-0] [INFO] Loading HPSv2.1 (v2.1) ...
+[2026-06-13 03:20:45] [RANK-0] [INFO] Loading Aesthetic scorer ...
+[2026-06-13 03:20:51] [RANK-0] [INFO] Dataset: 5000 samples split across 4 GPUs (~157 batches/rank)
+[2026-06-13 03:20:51] [RANK-0] [INFO] Starting evaluation...
+[2026-06-13 03:20:51] [RANK-0] [INFO]   Checkpoint   : RESULTS/multigen/run_010
+[2026-06-13 03:20:51] [RANK-0] [INFO]   Total samples: 5000 | World size: 4
+[2026-06-13 03:20:51] [RANK-0] [INFO]   FID dim      : 64 | Inf steps: 20 | Guidance: 5
+[2026-06-13 03:22:16] [RANK-0] [INFO] [rank 0] Batch [10/157] | CLIP 29.7808 | LPIPS 0.7951 | Pick 0.2083 | HPSv2 0.2582 | HPSv2.1 0.2075 | Aes 4.8061
+[2026-06-13 03:23:39] [RANK-0] [INFO] [rank 0] Batch [20/157] | CLIP 29.6745 | LPIPS 0.7929 | Pick 0.2080 | HPSv2 0.2573 | HPSv2.1 0.2065 | Aes 4.8616
+[2026-06-13 03:25:02] [RANK-0] [INFO] [rank 0] Batch [30/157] | CLIP 29.6527 | LPIPS 0.7939 | Pick 0.2077 | HPSv2 0.2567 | HPSv2.1 0.2061 | Aes 4.8511
+[2026-06-13 03:26:26] [RANK-0] [INFO] [rank 0] Batch [40/157] | CLIP 29.5525 | LPIPS 0.7974 | Pick 0.2077 | HPSv2 0.2573 | HPSv2.1 0.2067 | Aes 4.8564
+[2026-06-13 03:27:50] [RANK-0] [INFO] [rank 0] Batch [50/157] | CLIP 29.5981 | LPIPS 0.7984 | Pick 0.2085 | HPSv2 0.2581 | HPSv2.1 0.2087 | Aes 4.8868
+[2026-06-13 03:29:11] [RANK-0] [INFO] [rank 0] Batch [60/157] | CLIP 29.7089 | LPIPS 0.7999 | Pick 0.2092 | HPSv2 0.2591 | HPSv2.1 0.2112 | Aes 4.9056
+[2026-06-13 03:30:33] [RANK-0] [INFO] [rank 0] Batch [70/157] | CLIP 29.7796 | LPIPS 0.8014 | Pick 0.2100 | HPSv2 0.2604 | HPSv2.1 0.2137 | Aes 4.9186
+[2026-06-13 03:31:57] [RANK-0] [INFO] [rank 0] Batch [80/157] | CLIP 29.8264 | LPIPS 0.8039 | Pick 0.2102 | HPSv2 0.2608 | HPSv2.1 0.2147 | Aes 4.9328
+[2026-06-13 03:33:22] [RANK-0] [INFO] [rank 0] Batch [90/157] | CLIP 29.8829 | LPIPS 0.8038 | Pick 0.2102 | HPSv2 0.2606 | HPSv2.1 0.2149 | Aes 4.9304
+[2026-06-13 03:34:44] [RANK-0] [INFO] [rank 0] Batch [100/157] | CLIP 29.9106 | LPIPS 0.8037 | Pick 0.2100 | HPSv2 0.2601 | HPSv2.1 0.2143 | Aes 4.9261
+[2026-06-13 03:36:09] [RANK-0] [INFO] [rank 0] Batch [110/157] | CLIP 30.0153 | LPIPS 0.8044 | Pick 0.2100 | HPSv2 0.2599 | HPSv2.1 0.2142 | Aes 4.9316
+[2026-06-13 03:37:33] [RANK-0] [INFO] [rank 0] Batch [120/157] | CLIP 30.0916 | LPIPS 0.8050 | Pick 0.2102 | HPSv2 0.2599 | HPSv2.1 0.2140 | Aes 4.9290
+[2026-06-13 03:38:57] [RANK-0] [INFO] [rank 0] Batch [130/157] | CLIP 30.1169 | LPIPS 0.8056 | Pick 0.2101 | HPSv2 0.2597 | HPSv2.1 0.2139 | Aes 4.9298
+[2026-06-13 03:40:22] [RANK-0] [INFO] [rank 0] Batch [140/157] | CLIP 30.1134 | LPIPS 0.8057 | Pick 0.2101 | HPSv2 0.2597 | HPSv2.1 0.2135 | Aes 4.9242
+[2026-06-13 03:41:46] [RANK-0] [INFO] [rank 0] Batch [150/157] | CLIP 30.0913 | LPIPS 0.8064 | Pick 0.2100 | HPSv2 0.2594 | HPSv2.1 0.2129 | Aes 4.9250
+[2026-06-13 03:42:40] [RANK-0] [INFO] Gathering results from all ranks ...
+[2026-06-13 03:42:40] [RANK-0] [INFO] Finished feature extraction. Computing final FID...
+[2026-06-13 03:42:40] [RANK-0] [INFO] ============================================================
+[2026-06-13 03:42:40] [RANK-0] [INFO]   FID        : 9.021815
+[2026-06-13 03:42:40] [RANK-0] [INFO]   CLIP       : 30.183081
+[2026-06-13 03:42:40] [RANK-0] [INFO]   LPIPS      : 0.805584
+[2026-06-13 03:42:40] [RANK-0] [INFO]   PickScore  : 0.210147
+[2026-06-13 03:42:40] [RANK-0] [INFO]   HPSv2      : 0.259809
+[2026-06-13 03:42:40] [RANK-0] [INFO]   HPSv2.1    : 0.213451
+[2026-06-13 03:42:40] [RANK-0] [INFO]   Aesthetic  : 4.931015
+[2026-06-13 03:42:40] [RANK-0] [INFO] ============================================================
+[2026-06-13 03:42:40] [RANK-0] [INFO] Results saved to ./RESULTS/multigen/run_010/Eval/eval_results.json

multigen/run_010/Eval/eval_results.json

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+    "HPSv2": 0.2598094608260995,
+    "HPSv2.1": 0.21345114867517334,
+    "Aesthetic": 4.9310149318853
+}

multigen/run_010/checkpoint-20000/transformer/config.json

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+  "patch_size": 2,
+  "sample_size": 64,
+  "upcast_attention": false,
+  "use_additional_conditions": null,
+  "use_linear_projection": false
+}

multigen/run_010/checkpoint-20000/transformer/diffusion_pytorch_model.safetensors

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multigen/run_010/checkpoint-25000/transformer/config.json

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multigen/run_010/checkpoint-30000/transformer/config.json

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multigen/run_010/model_index.json

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multigen/run_010/scheduler/scheduler_config.json

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multigen/run_010/summary.json

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+  "min_loss": 0.0008532931096851826,
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multigen/run_010/text_encoder/config.json

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multigen/run_010/tokenizer/tokenizer_config.json

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multigen/run_010/train_diffusion_pixart_sigma.log

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+PixArt-Sigma Stage 2 DiT: 2026-06-12 13:30:20
+================================================================================
+[13:30:20] PixArt-Sigma Stage 2: DiT fine-tune with Stage 1 VAE
+[13:30:20] Output dir      : RESULTS/multigen/run_010
+[13:30:20] Pretrained model: /data/shubham/hf_cache/hub/models--PixArt-alpha--PixArt-Sigma-XL-2-512-MS/snapshots/76fb7eb5a9314bc1e4e479d2f13447517fca9be4
+[13:30:20] VAE Stage 1 dir : ./weights/run_009/checkpoint-10000/autoencoderkl
+[13:30:20] Data dir        : ../data/multigen
+[13:30:20] Max seq len     : 300  (Sigma uses 300)
+[13:30:20] Loading T5 tokenizer + encoder (from 1024-MS) ...
+[13:30:28] Loading DDPMScheduler (v_prediction) from 1024-MS ...
+[13:30:28] Scheduler: DDPMScheduler | prediction=epsilon | T=1000
+[13:30:28] Loading PixArtTransformer2DModel ...
+[13:30:32]   Transformer: 610,856,096 params
+[13:30:32]   sample_size=64 | resolution conditioning=False
+[13:30:32]   Steps=30000  Epochs=1  Batch=4  GradAccum=1
+  Step     100 | Ep 0 | loss 0.300051 | avg 0.300051 | lr 1.00e-06 | 0:01:11 | ETA 5:56:25
+  Step     200 | Ep 0 | loss 0.235402 | avg 0.267727 | lr 2.00e-06 | 0:02:10 | ETA 5:24:15
+  Step     300 | Ep 0 | loss 0.010298 | avg 0.181917 | lr 3.00e-06 | 0:03:09 | ETA 5:12:58
+  Step     400 | Ep 0 | loss 0.185026 | avg 0.182694 | lr 4.00e-06 | 0:04:08 | ETA 5:06:43
+  Step     500 | Ep 0 | loss 0.367366 | avg 0.219629 | lr 5.00e-06 | 0:05:07 | ETA 5:02:35
+  Step     600 | Ep 0 | loss 0.162827 | avg 0.210162 | lr 6.00e-06 | 0:06:06 | ETA 4:59:32
+  Step     700 | Ep 0 | loss 0.093278 | avg 0.193464 | lr 7.00e-06 | 0:07:05 | ETA 4:57:01
+  Step     800 | Ep 0 | loss 0.041943 | avg 0.174524 | lr 8.00e-06 | 0:08:04 | ETA 4:54:53
+  Step     900 | Ep 0 | loss 0.065808 | avg 0.162444 | lr 9.00e-06 | 0:09:03 | ETA 4:52:59
+  Step    1000 | Ep 0 | loss 0.303077 | avg 0.176507 | lr 1.00e-05 | 0:10:02 | ETA 4:51:18
+  Step    1100 | Ep 0 | loss 0.206753 | avg 0.179257 | lr 1.00e-05 | 0:11:01 | ETA 4:49:47
+  Step    1200 | Ep 0 | loss 0.082278 | avg 0.171175 | lr 1.00e-05 | 0:12:00 | ETA 4:48:20
+  Step    1300 | Ep 0 | loss 0.644680 | avg 0.207599 | lr 1.00e-05 | 0:12:59 | ETA 4:46:58
+  Step    1400 | Ep 0 | loss 0.021610 | avg 0.194314 | lr 1.00e-05 | 0:13:58 | ETA 4:45:39
+  Step    1500 | Ep 0 | loss 0.174090 | avg 0.192966 | lr 9.99e-06 | 0:14:58 | ETA 4:44:23
+  Step    1600 | Ep 0 | loss 0.247063 | avg 0.196347 | lr 9.99e-06 | 0:15:57 | ETA 4:43:08
+  Step    1700 | Ep 0 | loss 0.185369 | avg 0.195701 | lr 9.99e-06 | 0:16:56 | ETA 4:41:56
+  Step    1800 | Ep 0 | loss 0.155279 | avg 0.193455 | lr 9.98e-06 | 0:17:55 | ETA 4:40:45
+  Step    1900 | Ep 0 | loss 0.125328 | avg 0.189870 | lr 9.98e-06 | 0:18:54 | ETA 4:39:35
+  Step    2000 | Ep 0 | loss 0.016262 | avg 0.181189 | lr 9.97e-06 | 0:19:53 | ETA 4:38:30
+[13:50:14] Generating 4 validation images ...
+[13:50:20] Saved -> RESULTS/multigen/run_010/validation/collage_step_0002000.png
+  Step    2100 | Ep 0 | loss 0.061735 | avg 0.175501 | lr 9.96e-06 | 0:20:58 | ETA 4:38:42
+  Step    2200 | Ep 0 | loss 0.262925 | avg 0.179475 | lr 9.96e-06 | 0:21:57 | ETA 4:37:30
+  Step    2300 | Ep 0 | loss 0.080509 | avg 0.175172 | lr 9.95e-06 | 0:22:56 | ETA 4:36:20
+  Step    2400 | Ep 0 | loss 0.139363 | avg 0.173680 | lr 9.94e-06 | 0:23:55 | ETA 4:35:11
+  Step    2500 | Ep 0 | loss 0.031514 | avg 0.167993 | lr 9.93e-06 | 0:24:54 | ETA 4:34:02
+  Step    2600 | Ep 0 | loss 0.194066 | avg 0.168996 | lr 9.93e-06 | 0:25:53 | ETA 4:32:55
+  Step    2700 | Ep 0 | loss 0.262564 | avg 0.172462 | lr 9.92e-06 | 0:26:52 | ETA 4:31:48
+  Step    2800 | Ep 0 | loss 0.032997 | avg 0.167481 | lr 9.91e-06 | 0:27:51 | ETA 4:30:42
+  Step    2900 | Ep 0 | loss 0.069878 | avg 0.164115 | lr 9.89e-06 | 0:28:51 | ETA 4:29:36
+  Step    3000 | Ep 0 | loss 0.336431 | avg 0.169859 | lr 9.88e-06 | 0:29:50 | ETA 4:28:30
+  Step    3100 | Ep 0 | loss 0.068802 | avg 0.166599 | lr 9.87e-06 | 0:30:49 | ETA 4:27:25
+  Step    3200 | Ep 0 | loss 0.151382 | avg 0.166124 | lr 9.86e-06 | 0:31:48 | ETA 4:26:21
+  Step    3300 | Ep 0 | loss 0.020404 | avg 0.161708 | lr 9.85e-06 | 0:32:47 | ETA 4:25:16
+  Step    3400 | Ep 0 | loss 0.233293 | avg 0.163813 | lr 9.83e-06 | 0:33:46 | ETA 4:24:12
+  Step    3500 | Ep 0 | loss 0.046939 | avg 0.160474 | lr 9.82e-06 | 0:34:45 | ETA 4:23:08
+  Step    3600 | Ep 0 | loss 0.242359 | avg 0.162749 | lr 9.80e-06 | 0:35:44 | ETA 4:22:05
+  Step    3700 | Ep 0 | loss 0.045956 | avg 0.159592 | lr 9.79e-06 | 0:36:43 | ETA 4:21:01
+  Step    3800 | Ep 0 | loss 0.233205 | avg 0.161529 | lr 9.77e-06 | 0:37:42 | ETA 4:19:58
+  Step    3900 | Ep 0 | loss 0.043304 | avg 0.158498 | lr 9.76e-06 | 0:38:41 | ETA 4:18:55
+  Step    4000 | Ep 0 | loss 0.083092 | avg 0.156613 | lr 9.74e-06 | 0:39:40 | ETA 4:17:52
+[14:10:01] Generating 4 validation images ...
+[14:10:06] Saved -> RESULTS/multigen/run_010/validation/collage_step_0004000.png
+  Step    4100 | Ep 0 | loss 0.172195 | avg 0.156993 | lr 9.72e-06 | 0:40:45 | ETA 4:17:28
+  Step    4200 | Ep 0 | loss 0.091884 | avg 0.155442 | lr 9.70e-06 | 0:41:44 | ETA 4:16:24
+  Step    4300 | Ep 0 | loss 0.183107 | avg 0.156086 | lr 9.68e-06 | 0:42:43 | ETA 4:15:20
+  Step    4400 | Ep 0 | loss 0.345008 | avg 0.160380 | lr 9.66e-06 | 0:43:42 | ETA 4:14:17
+  Step    4500 | Ep 0 | loss 0.487911 | avg 0.167658 | lr 9.64e-06 | 0:44:41 | ETA 4:13:14
+  Step    4600 | Ep 0 | loss 0.456943 | avg 0.173947 | lr 9.62e-06 | 0:45:40 | ETA 4:12:10
+  Step    4700 | Ep 0 | loss 0.356934 | avg 0.177840 | lr 9.60e-06 | 0:46:39 | ETA 4:11:08
+  Step    4800 | Ep 0 | loss 0.466335 | avg 0.183850 | lr 9.58e-06 | 0:47:38 | ETA 4:10:05
+  Step    4900 | Ep 0 | loss 0.033061 | avg 0.180773 | lr 9.56e-06 | 0:48:37 | ETA 4:09:02
+  Step    5000 | Ep 0 | loss 0.060381 | avg 0.178365 | lr 9.54e-06 | 0:49:36 | ETA 4:08:00
+[14:19:59]   Checkpoint -> RESULTS/multigen/run_010/checkpoint-5000
+  Step    5100 | Ep 0 | loss 0.522385 | avg 0.185111 | lr 9.51e-06 | 0:50:37 | ETA 4:07:09
+  Step    5200 | Ep 0 | loss 0.234572 | avg 0.186062 | lr 9.49e-06 | 0:51:36 | ETA 4:06:07
+  Step    5300 | Ep 0 | loss 0.160923 | avg 0.185588 | lr 9.47e-06 | 0:52:35 | ETA 4:05:05
+  Step    5400 | Ep 0 | loss 0.349460 | avg 0.188622 | lr 9.44e-06 | 0:53:34 | ETA 4:04:03
+  Step    5500 | Ep 0 | loss 0.266258 | avg 0.190034 | lr 9.42e-06 | 0:54:33 | ETA 4:03:02
+  Step    5600 | Ep 0 | loss 0.031918 | avg 0.187210 | lr 9.39e-06 | 0:55:32 | ETA 4:02:00
+  Step    5700 | Ep 0 | loss 0.001992 | avg 0.183961 | lr 9.37e-06 | 0:56:31 | ETA 4:00:59
+  Step    5800 | Ep 0 | loss 0.156381 | avg 0.183485 | lr 9.34e-06 | 0:57:30 | ETA 3:59:58
+  Step    5900 | Ep 0 | loss 0.092996 | avg 0.181952 | lr 9.31e-06 | 0:58:29 | ETA 3:58:57
+  Step    6000 | Ep 0 | loss 0.315033 | avg 0.184170 | lr 9.28e-06 | 0:59:28 | ETA 3:57:55
+[14:29:50] Generating 4 validation images ...
+[14:29:55] Saved -> RESULTS/multigen/run_010/validation/collage_step_0006000.png
+  Step    6100 | Ep 0 | loss 0.120716 | avg 0.183129 | lr 9.26e-06 | 1:00:34 | ETA 3:57:18
+  Step    6200 | Ep 0 | loss 0.172958 | avg 0.182965 | lr 9.23e-06 | 1:01:33 | ETA 3:56:16
+  Step    6300 | Ep 0 | loss 0.043894 | avg 0.180758 | lr 9.20e-06 | 1:02:32 | ETA 3:55:15
+  Step    6400 | Ep 0 | loss 0.002138 | avg 0.177967 | lr 9.17e-06 | 1:03:31 | ETA 3:54:14
+  Step    6500 | Ep 0 | loss 0.117153 | avg 0.177031 | lr 9.14e-06 | 1:04:30 | ETA 3:53:13
+  Step    6600 | Ep 0 | loss 0.316462 | avg 0.179144 | lr 9.11e-06 | 1:05:29 | ETA 3:52:11
+  Step    6700 | Ep 0 | loss 0.168203 | avg 0.178981 | lr 9.08e-06 | 1:06:28 | ETA 3:51:10
+  Step    6800 | Ep 0 | loss 0.225223 | avg 0.179661 | lr 9.05e-06 | 1:07:27 | ETA 3:50:09
+  Step    6900 | Ep 0 | loss 0.272224 | avg 0.181002 | lr 9.01e-06 | 1:08:26 | ETA 3:49:08
+  Step    7000 | Ep 0 | loss 0.091313 | avg 0.179721 | lr 8.98e-06 | 1:09:25 | ETA 3:48:07
+  Step    7100 | Ep 0 | loss 0.077124 | avg 0.178276 | lr 8.95e-06 | 1:10:24 | ETA 3:47:06
+  Step    7200 | Ep 0 | loss 0.370275 | avg 0.180943 | lr 8.91e-06 | 1:11:24 | ETA 3:46:06
+  Step    7300 | Ep 0 | loss 0.054891 | avg 0.179216 | lr 8.88e-06 | 1:12:23 | ETA 3:45:05
+  Step    7400 | Ep 0 | loss 0.242771 | avg 0.180075 | lr 8.85e-06 | 1:13:22 | ETA 3:44:04
+  Step    7500 | Ep 0 | loss 0.356659 | avg 0.182429 | lr 8.81e-06 | 1:14:21 | ETA 3:43:04
+  Step    7600 | Ep 0 | loss 0.152105 | avg 0.182030 | lr 8.78e-06 | 1:15:20 | ETA 3:42:03
+  Step    7700 | Ep 0 | loss 0.190833 | avg 0.182144 | lr 8.74e-06 | 1:16:19 | ETA 3:41:02
+  Step    7800 | Ep 0 | loss 0.323064 | avg 0.183951 | lr 8.70e-06 | 1:17:18 | ETA 3:40:02
+  Step    7900 | Ep 0 | loss 0.093318 | avg 0.182804 | lr 8.67e-06 | 1:18:17 | ETA 3:39:01
+  Step    8000 | Ep 0 | loss 0.248937 | avg 0.183631 | lr 8.63e-06 | 1:19:16 | ETA 3:38:01
+[14:49:37] Generating 4 validation images ...
+[14:49:43] Saved -> RESULTS/multigen/run_010/validation/collage_step_0008000.png
+  Step    8100 | Ep 0 | loss 0.007544 | avg 0.181457 | lr 8.59e-06 | 1:20:21 | ETA 3:37:16
+  Step    8200 | Ep 0 | loss 0.203325 | avg 0.181723 | lr 8.55e-06 | 1:21:20 | ETA 3:36:15
+  Step    8300 | Ep 0 | loss 0.278678 | avg 0.182891 | lr 8.52e-06 | 1:22:19 | ETA 3:35:15
+  Step    8400 | Ep 0 | loss 0.249175 | avg 0.183681 | lr 8.48e-06 | 1:23:18 | ETA 3:34:14
+  Step    8500 | Ep 0 | loss 0.041724 | avg 0.182010 | lr 8.44e-06 | 1:24:18 | ETA 3:33:13
+  Step    8600 | Ep 0 | loss 0.371662 | avg 0.184216 | lr 8.40e-06 | 1:25:17 | ETA 3:32:13
+  Step    8700 | Ep 0 | loss 0.144932 | avg 0.183764 | lr 8.36e-06 | 1:26:16 | ETA 3:31:12
+  Step    8800 | Ep 0 | loss 0.040271 | avg 0.182134 | lr 8.32e-06 | 1:27:14 | ETA 3:30:11
+  Step    8900 | Ep 0 | loss 0.021672 | avg 0.180331 | lr 8.28e-06 | 1:28:13 | ETA 3:29:10
+  Step    9000 | Ep 0 | loss 0.043358 | avg 0.178809 | lr 8.24e-06 | 1:29:12 | ETA 3:28:10
+  Step    9100 | Ep 0 | loss 0.117596 | avg 0.178136 | lr 8.20e-06 | 1:30:12 | ETA 3:27:09
+  Step    9200 | Ep 0 | loss 0.386433 | avg 0.180400 | lr 8.15e-06 | 1:31:11 | ETA 3:26:09
+  Step    9300 | Ep 0 | loss 0.315173 | avg 0.181849 | lr 8.11e-06 | 1:32:10 | ETA 3:25:08
+  Step    9400 | Ep 0 | loss 0.205515 | avg 0.182101 | lr 8.07e-06 | 1:33:09 | ETA 3:24:08
+  Step    9500 | Ep 0 | loss 0.043264 | avg 0.180640 | lr 8.03e-06 | 1:34:08 | ETA 3:23:07
+  Step    9600 | Ep 0 | loss 0.171272 | avg 0.180542 | lr 7.98e-06 | 1:35:07 | ETA 3:22:07
+  Step    9700 | Ep 0 | loss 0.109921 | avg 0.179814 | lr 7.94e-06 | 1:36:06 | ETA 3:21:07
+  Step    9800 | Ep 0 | loss 0.265809 | avg 0.180691 | lr 7.89e-06 | 1:37:05 | ETA 3:20:07
+  Step    9900 | Ep 0 | loss 0.029742 | avg 0.179167 | lr 7.85e-06 | 1:38:04 | ETA 3:19:07
+  Step   10000 | Ep 0 | loss 0.247881 | avg 0.179854 | lr 7.81e-06 | 1:39:03 | ETA 3:18:07
+[15:09:26]   Checkpoint -> RESULTS/multigen/run_010/checkpoint-10000
+[15:09:26] Generating 4 validation images ...
+[15:09:32] Saved -> RESULTS/multigen/run_010/validation/collage_step_0010000.png
+  Step   10100 | Ep 0 | loss 0.242326 | avg 0.179277 | lr 7.76e-06 | 1:40:10 | ETA 3:17:23
+  Step   10200 | Ep 0 | loss 0.381280 | avg 0.180735 | lr 7.72e-06 | 1:41:09 | ETA 3:16:22
+  Step   10300 | Ep 0 | loss 0.226111 | avg 0.182894 | lr 7.67e-06 | 1:42:08 | ETA 3:15:22
+  Step   10400 | Ep 0 | loss 0.188072 | avg 0.182924 | lr 7.62e-06 | 1:43:08 | ETA 3:14:22
+  Step   10500 | Ep 0 | loss 0.018681 | avg 0.179437 | lr 7.58e-06 | 1:44:07 | ETA 3:13:22
+  Step   10600 | Ep 0 | loss 0.105077 | avg 0.178860 | lr 7.53e-06 | 1:45:06 | ETA 3:12:22
+  Step   10700 | Ep 0 | loss 0.062536 | avg 0.178552 | lr 7.48e-06 | 1:46:05 | ETA 3:11:22
+  Step   10800 | Ep 0 | loss 0.025145 | avg 0.178384 | lr 7.44e-06 | 1:47:05 | ETA 3:10:22
+  Step   10900 | Ep 0 | loss 0.032395 | avg 0.178050 | lr 7.39e-06 | 1:48:04 | ETA 3:09:22
+  Step   11000 | Ep 0 | loss 0.068317 | avg 0.175703 | lr 7.34e-06 | 1:49:03 | ETA 3:08:22
+  Step   11100 | Ep 0 | loss 0.309930 | avg 0.176734 | lr 7.29e-06 | 1:50:02 | ETA 3:07:22
+  Step   11200 | Ep 0 | loss 0.229472 | avg 0.178206 | lr 7.25e-06 | 1:51:02 | ETA 3:06:22
+  Step   11300 | Ep 0 | loss 0.188148 | avg 0.173641 | lr 7.20e-06 | 1:52:01 | ETA 3:05:22
+  Step   11400 | Ep 0 | loss 0.020117 | avg 0.173626 | lr 7.15e-06 | 1:53:00 | ETA 3:04:22
+  Step   11500 | Ep 0 | loss 0.037825 | avg 0.172263 | lr 7.10e-06 | 1:53:59 | ETA 3:03:22
+  Step   11600 | Ep 0 | loss 0.035995 | avg 0.170153 | lr 7.05e-06 | 1:54:58 | ETA 3:02:22
+  Step   11700 | Ep 0 | loss 0.253178 | avg 0.170831 | lr 7.00e-06 | 1:55:58 | ETA 3:01:23
+  Step   11800 | Ep 0 | loss 0.033856 | avg 0.169617 | lr 6.95e-06 | 1:56:57 | ETA 3:00:23
+  Step   11900 | Ep 0 | loss 0.299240 | avg 0.171356 | lr 6.90e-06 | 1:57:56 | ETA 2:59:23
+  Step   12000 | Ep 0 | loss 0.507932 | avg 0.176272 | lr 6.85e-06 | 1:58:55 | ETA 2:58:23
+[15:29:16] Generating 4 validation images ...
+[15:29:22] Saved -> RESULTS/multigen/run_010/validation/collage_step_0012000.png
+  Step   12100 | Ep 0 | loss 0.120609 | avg 0.176861 | lr 6.80e-06 | 2:00:00 | ETA 2:57:32
+  Step   12200 | Ep 0 | loss 0.188983 | avg 0.176122 | lr 6.75e-06 | 2:01:00 | ETA 2:56:32
+  Step   12300 | Ep 0 | loss 0.183717 | avg 0.177154 | lr 6.70e-06 | 2:01:59 | ETA 2:55:32
+  Step   12400 | Ep 0 | loss 0.379028 | avg 0.179550 | lr 6.65e-06 | 2:02:58 | ETA 2:54:32
+  Step   12500 | Ep 0 | loss 0.139243 | avg 0.180628 | lr 6.60e-06 | 2:03:57 | ETA 2:53:32
+  Step   12600 | Ep 0 | loss 0.012013 | avg 0.178807 | lr 6.55e-06 | 2:04:56 | ETA 2:52:32
+  Step   12700 | Ep 0 | loss 0.185168 | avg 0.178033 | lr 6.49e-06 | 2:05:56 | ETA 2:51:33
+  Step   12800 | Ep 0 | loss 0.045995 | avg 0.178163 | lr 6.44e-06 | 2:06:55 | ETA 2:50:33
+  Step   12900 | Ep 0 | loss 0.014069 | avg 0.177605 | lr 6.39e-06 | 2:07:54 | ETA 2:49:33
+  Step   13000 | Ep 0 | loss 0.002971 | avg 0.174270 | lr 6.34e-06 | 2:08:53 | ETA 2:48:33
+  Step   13100 | Ep 0 | loss 0.103202 | avg 0.174614 | lr 6.29e-06 | 2:09:53 | ETA 2:47:33
+  Step   13200 | Ep 0 | loss 0.104808 | avg 0.174149 | lr 6.23e-06 | 2:10:52 | ETA 2:46:33
+  Step   13300 | Ep 0 | loss 0.097622 | avg 0.174921 | lr 6.18e-06 | 2:11:51 | ETA 2:45:33
+  Step   13400 | Ep 0 | loss 0.267717 | avg 0.175265 | lr 6.13e-06 | 2:12:50 | ETA 2:44:34
+  Step   13500 | Ep 0 | loss 0.112936 | avg 0.175925 | lr 6.07e-06 | 2:13:49 | ETA 2:43:34
+  Step   13600 | Ep 0 | loss 0.300542 | avg 0.176507 | lr 6.02e-06 | 2:14:49 | ETA 2:42:34
+  Step   13700 | Ep 0 | loss 0.089659 | avg 0.176944 | lr 5.97e-06 | 2:15:48 | ETA 2:41:34
+  Step   13800 | Ep 0 | loss 0.173995 | avg 0.176352 | lr 5.92e-06 | 2:16:47 | ETA 2:40:34
+  Step   13900 | Ep 0 | loss 0.204495 | avg 0.177964 | lr 5.86e-06 | 2:17:46 | ETA 2:39:34
+  Step   14000 | Ep 0 | loss 0.346612 | avg 0.180599 | lr 5.81e-06 | 2:18:45 | ETA 2:38:35
+[15:49:06] Generating 4 validation images ...
+[15:49:12] Saved -> RESULTS/multigen/run_010/validation/collage_step_0014000.png
+  Step   14100 | Ep 0 | loss 0.089128 | avg 0.179768 | lr 5.76e-06 | 2:19:50 | ETA 2:37:42
+  Step   14200 | Ep 0 | loss 0.321873 | avg 0.182068 | lr 5.70e-06 | 2:20:50 | ETA 2:36:42
+  Step   14300 | Ep 0 | loss 0.212045 | avg 0.182358 | lr 5.65e-06 | 2:21:49 | ETA 2:35:42
+  Step   14400 | Ep 0 | loss 0.216391 | avg 0.181071 | lr 5.59e-06 | 2:22:48 | ETA 2:34:42
+  Step   14500 | Ep 0 | loss 0.198709 | avg 0.178179 | lr 5.54e-06 | 2:23:47 | ETA 2:33:42
+  Step   14600 | Ep 0 | loss 0.286836 | avg 0.176478 | lr 5.49e-06 | 2:24:46 | ETA 2:32:42
+  Step   14700 | Ep 0 | loss 0.444195 | avg 0.177351 | lr 5.43e-06 | 2:25:46 | ETA 2:31:42
+  Step   14800 | Ep 0 | loss 0.109232 | avg 0.173780 | lr 5.38e-06 | 2:26:45 | ETA 2:30:43
+  Step   14900 | Ep 0 | loss 0.303315 | avg 0.176482 | lr 5.32e-06 | 2:27:44 | ETA 2:29:43
+  Step   15000 | Ep 0 | loss 0.130712 | avg 0.177186 | lr 5.27e-06 | 2:28:43 | ETA 2:28:43
+[15:59:06]   Checkpoint -> RESULTS/multigen/run_010/checkpoint-15000
+  Step   15100 | Ep 0 | loss 0.041632 | avg 0.172378 | lr 5.22e-06 | 2:29:44 | ETA 2:27:45
+  Step   15200 | Ep 0 | loss 0.139145 | avg 0.171424 | lr 5.16e-06 | 2:30:43 | ETA 2:26:45
+  Step   15300 | Ep 0 | loss 0.181729 | avg 0.171632 | lr 5.11e-06 | 2:31:43 | ETA 2:25:46
+  Step   15400 | Ep 0 | loss 0.073063 | avg 0.168868 | lr 5.05e-06 | 2:32:42 | ETA 2:24:46
+  Step   15500 | Ep 0 | loss 0.062473 | avg 0.166830 | lr 5.00e-06 | 2:33:41 | ETA 2:23:46
+  Step   15600 | Ep 0 | loss 0.161757 | avg 0.168129 | lr 4.95e-06 | 2:34:40 | ETA 2:22:46
+  Step   15700 | Ep 0 | loss 0.249704 | avg 0.170606 | lr 4.89e-06 | 2:35:39 | ETA 2:21:46
+  Step   15800 | Ep 0 | loss 0.206092 | avg 0.171103 | lr 4.84e-06 | 2:36:38 | ETA 2:20:46
+  Step   15900 | Ep 0 | loss 0.181043 | avg 0.171983 | lr 4.78e-06 | 2:37:37 | ETA 2:19:46
+  Step   16000 | Ep 0 | loss 0.116158 | avg 0.169995 | lr 4.73e-06 | 2:38:36 | ETA 2:18:47
+[16:08:57] Generating 4 validation images ...
+[16:09:03] Saved -> RESULTS/multigen/run_010/validation/collage_step_0016000.png
+  Step   16100 | Ep 0 | loss 0.173255 | avg 0.170520 | lr 4.68e-06 | 2:39:41 | ETA 2:17:52
+  Step   16200 | Ep 0 | loss 0.288631 | avg 0.171677 | lr 4.62e-06 | 2:40:41 | ETA 2:16:52
+  Step   16300 | Ep 0 | loss 0.203924 | avg 0.173277 | lr 4.57e-06 | 2:41:40 | ETA 2:15:52
+  Step   16400 | Ep 0 | loss 0.013801 | avg 0.173394 | lr 4.51e-06 | 2:42:39 | ETA 2:14:53
+  Step   16500 | Ep 0 | loss 0.159607 | avg 0.173818 | lr 4.46e-06 | 2:43:38 | ETA 2:13:53
+  Step   16600 | Ep 0 | loss 0.288201 | avg 0.173536 | lr 4.41e-06 | 2:44:37 | ETA 2:12:53
+  Step   16700 | Ep 0 | loss 0.023708 | avg 0.172091 | lr 4.35e-06 | 2:45:36 | ETA 2:11:53
+  Step   16800 | Ep 0 | loss 0.005277 | avg 0.169891 | lr 4.30e-06 | 2:46:36 | ETA 2:10:54
+  Step   16900 | Ep 0 | loss 0.191547 | avg 0.169084 | lr 4.24e-06 | 2:47:35 | ETA 2:09:54
+  Step   17000 | Ep 0 | loss 0.232922 | avg 0.170500 | lr 4.19e-06 | 2:48:34 | ETA 2:08:54
+  Step   17100 | Ep 0 | loss 0.037312 | avg 0.170102 | lr 4.14e-06 | 2:49:33 | ETA 2:07:54
+  Step   17200 | Ep 0 | loss 0.114696 | avg 0.167547 | lr 4.08e-06 | 2:50:32 | ETA 2:06:55
+  Step   17300 | Ep 0 | loss 0.554693 | avg 0.172545 | lr 4.03e-06 | 2:51:31 | ETA 2:05:55
+  Step   17400 | Ep 0 | loss 0.462603 | avg 0.174743 | lr 3.98e-06 | 2:52:31 | ETA 2:04:55
+  Step   17500 | Ep 0 | loss 0.027734 | avg 0.171454 | lr 3.93e-06 | 2:53:30 | ETA 2:03:55
+  Step   17600 | Ep 0 | loss 0.062459 | avg 0.170557 | lr 3.87e-06 | 2:54:29 | ETA 2:02:56
+  Step   17700 | Ep 0 | loss 0.084184 | avg 0.169491 | lr 3.82e-06 | 2:55:28 | ETA 2:01:56
+  Step   17800 | Ep 0 | loss 0.235908 | avg 0.168619 | lr 3.77e-06 | 2:56:27 | ETA 2:00:56
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+  Step   18000 | Ep 0 | loss 0.001021 | avg 0.165367 | lr 3.66e-06 | 2:58:26 | ETA 1:58:57
+[16:28:47] Generating 4 validation images ...
+[16:28:52] Saved -> RESULTS/multigen/run_010/validation/collage_step_0018000.png
+  Step   18100 | Ep 0 | loss 0.094320 | avg 0.166235 | lr 3.61e-06 | 2:59:31 | ETA 1:58:01
+  Step   18200 | Ep 0 | loss 0.010536 | avg 0.164307 | lr 3.56e-06 | 3:00:30 | ETA 1:57:01
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+  Step   19100 | Ep 0 | loss 0.187816 | avg 0.170428 | lr 3.10e-06 | 3:09:22 | ETA 1:48:04
+  Step   19200 | Ep 0 | loss 0.109487 | avg 0.167658 | lr 3.05e-06 | 3:10:21 | ETA 1:47:04
+  Step   19300 | Ep 0 | loss 0.002539 | avg 0.164532 | lr 3.00e-06 | 3:11:20 | ETA 1:46:04
+  Step   19400 | Ep 0 | loss 0.051554 | avg 0.162992 | lr 2.95e-06 | 3:12:19 | ETA 1:45:05
+  Step   19500 | Ep 0 | loss 0.092130 | avg 0.163481 | lr 2.90e-06 | 3:13:18 | ETA 1:44:05
+  Step   19600 | Ep 0 | loss 0.233572 | avg 0.164104 | lr 2.85e-06 | 3:14:18 | ETA 1:43:05
+  Step   19700 | Ep 0 | loss 0.110176 | avg 0.164107 | lr 2.80e-06 | 3:15:17 | ETA 1:42:06
+  Step   19800 | Ep 0 | loss 0.313324 | avg 0.164582 | lr 2.75e-06 | 3:16:16 | ETA 1:41:06
+  Step   19900 | Ep 0 | loss 0.215470 | avg 0.166439 | lr 2.71e-06 | 3:17:15 | ETA 1:40:06
+  Step   20000 | Ep 0 | loss 0.085879 | avg 0.164819 | lr 2.66e-06 | 3:18:14 | ETA 1:39:07
+[16:48:37]   Checkpoint -> RESULTS/multigen/run_010/checkpoint-20000
+[16:48:38] Generating 4 validation images ...
+[16:48:43] Saved -> RESULTS/multigen/run_010/validation/collage_step_0020000.png
+  Step   20100 | Ep 0 | loss 0.084625 | avg 0.163242 | lr 2.61e-06 | 3:19:22 | ETA 1:38:12
+  Step   20200 | Ep 0 | loss 0.047338 | avg 0.159903 | lr 2.56e-06 | 3:20:21 | ETA 1:37:12
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+  Step   20400 | Ep 0 | loss 0.195596 | avg 0.158398 | lr 2.47e-06 | 3:22:20 | ETA 1:35:13
+  Step   20500 | Ep 0 | loss 0.040059 | avg 0.158612 | lr 2.42e-06 | 3:23:19 | ETA 1:34:13
+  Step   20600 | Ep 0 | loss 0.238240 | avg 0.159944 | lr 2.38e-06 | 3:24:18 | ETA 1:33:13
+  Step   20700 | Ep 0 | loss 0.172719 | avg 0.161045 | lr 2.33e-06 | 3:25:17 | ETA 1:32:14
+  Step   20800 | Ep 0 | loss 0.121770 | avg 0.162012 | lr 2.28e-06 | 3:26:16 | ETA 1:31:14
+  Step   20900 | Ep 0 | loss 0.017315 | avg 0.161861 | lr 2.24e-06 | 3:27:16 | ETA 1:30:14
+  Step   21000 | Ep 0 | loss 0.076061 | avg 0.161938 | lr 2.19e-06 | 3:28:15 | ETA 1:29:15
+  Step   21100 | Ep 0 | loss 0.150444 | avg 0.160343 | lr 2.15e-06 | 3:29:14 | ETA 1:28:15
+  Step   21200 | Ep 0 | loss 0.022480 | avg 0.158273 | lr 2.11e-06 | 3:30:13 | ETA 1:27:15
+  Step   21300 | Ep 0 | loss 0.046950 | avg 0.156862 | lr 2.06e-06 | 3:31:12 | ETA 1:26:16
+  Step   21400 | Ep 0 | loss 0.174814 | avg 0.158408 | lr 2.02e-06 | 3:32:11 | ETA 1:25:16
+  Step   21500 | Ep 0 | loss 0.199056 | avg 0.160021 | lr 1.97e-06 | 3:33:11 | ETA 1:24:16
+  Step   21600 | Ep 0 | loss 0.181199 | avg 0.161473 | lr 1.93e-06 | 3:34:10 | ETA 1:23:17
+  Step   21700 | Ep 0 | loss 0.112138 | avg 0.160062 | lr 1.89e-06 | 3:35:09 | ETA 1:22:17
+  Step   21800 | Ep 0 | loss 0.043606 | avg 0.160160 | lr 1.85e-06 | 3:36:08 | ETA 1:21:18
+  Step   21900 | Ep 0 | loss 0.120685 | avg 0.158374 | lr 1.80e-06 | 3:37:07 | ETA 1:20:18
+  Step   22000 | Ep 0 | loss 0.111043 | avg 0.154405 | lr 1.76e-06 | 3:38:06 | ETA 1:19:18
+[17:08:27] Generating 4 validation images ...
+[17:08:33] Saved -> RESULTS/multigen/run_010/validation/collage_step_0022000.png
+  Step   22100 | Ep 0 | loss 0.265478 | avg 0.155854 | lr 1.72e-06 | 3:39:11 | ETA 1:18:21
+  Step   22200 | Ep 0 | loss 0.058977 | avg 0.154554 | lr 1.68e-06 | 3:40:10 | ETA 1:17:21
+  Step   22300 | Ep 0 | loss 0.087764 | avg 0.153595 | lr 1.64e-06 | 3:41:10 | ETA 1:16:22
+  Step   22400 | Ep 0 | loss 0.014107 | avg 0.149945 | lr 1.60e-06 | 3:42:09 | ETA 1:15:22
+  Step   22500 | Ep 0 | loss 0.259289 | avg 0.151146 | lr 1.56e-06 | 3:43:08 | ETA 1:14:22
+  Step   22600 | Ep 0 | loss 0.053749 | avg 0.151563 | lr 1.52e-06 | 3:44:07 | ETA 1:13:23
+  Step   22700 | Ep 0 | loss 0.275888 | avg 0.152470 | lr 1.48e-06 | 3:45:06 | ETA 1:12:23
+  Step   22800 | Ep 0 | loss 0.330572 | avg 0.155316 | lr 1.45e-06 | 3:46:05 | ETA 1:11:23
+  Step   22900 | Ep 0 | loss 0.031676 | avg 0.155492 | lr 1.41e-06 | 3:47:04 | ETA 1:10:24
+  Step   23000 | Ep 0 | loss 0.341488 | avg 0.158877 | lr 1.37e-06 | 3:48:03 | ETA 1:09:24
+  Step   23100 | Ep 0 | loss 0.232343 | avg 0.160169 | lr 1.33e-06 | 3:49:03 | ETA 1:08:25
+  Step   23200 | Ep 0 | loss 0.082283 | avg 0.159944 | lr 1.30e-06 | 3:50:02 | ETA 1:07:25
+  Step   23300 | Ep 0 | loss 0.116388 | avg 0.160131 | lr 1.26e-06 | 3:51:01 | ETA 1:06:25
+  Step   23400 | Ep 0 | loss 0.317741 | avg 0.160632 | lr 1.22e-06 | 3:52:00 | ETA 1:05:26
+  Step   23500 | Ep 0 | loss 0.186498 | avg 0.161367 | lr 1.19e-06 | 3:52:59 | ETA 1:04:26
+  Step   23600 | Ep 0 | loss 0.110787 | avg 0.159470 | lr 1.15e-06 | 3:53:59 | ETA 1:03:27
+  Step   23700 | Ep 0 | loss 0.066893 | avg 0.159242 | lr 1.12e-06 | 3:54:58 | ETA 1:02:27
+  Step   23800 | Ep 0 | loss 0.248032 | avg 0.159982 | lr 1.09e-06 | 3:55:57 | ETA 1:01:28
+  Step   23900 | Ep 0 | loss 0.110100 | avg 0.159038 | lr 1.05e-06 | 3:56:56 | ETA 1:00:28
+  Step   24000 | Ep 0 | loss 0.263906 | avg 0.158211 | lr 1.02e-06 | 3:57:55 | ETA 0:59:28
+[17:28:16] Generating 4 validation images ...
+[17:28:22] Saved -> RESULTS/multigen/run_010/validation/collage_step_0024000.png
+  Step   24100 | Ep 0 | loss 0.463936 | avg 0.161959 | lr 9.87e-07 | 3:59:00 | ETA 0:58:30
+  Step   24200 | Ep 0 | loss 0.140305 | avg 0.160144 | lr 9.55e-07 | 4:00:00 | ETA 0:57:31
+  Step   24300 | Ep 0 | loss 0.112245 | avg 0.159146 | lr 9.23e-07 | 4:00:59 | ETA 0:56:31
+  Step   24400 | Ep 0 | loss 0.251914 | avg 0.159501 | lr 8.92e-07 | 4:01:58 | ETA 0:55:32
+  Step   24500 | Ep 0 | loss 0.396465 | avg 0.161478 | lr 8.62e-07 | 4:02:57 | ETA 0:54:32
+  Step   24600 | Ep 0 | loss 0.373367 | avg 0.162344 | lr 8.31e-07 | 4:03:56 | ETA 0:53:32
+  Step   24700 | Ep 0 | loss 0.027094 | avg 0.158173 | lr 8.02e-07 | 4:04:56 | ETA 0:52:33
+  Step   24800 | Ep 0 | loss 0.169616 | avg 0.158777 | lr 7.73e-07 | 4:05:55 | ETA 0:51:33
+  Step   24900 | Ep 0 | loss 0.054308 | avg 0.156287 | lr 7.44e-07 | 4:06:54 | ETA 0:50:34
+  Step   25000 | Ep 0 | loss 0.081454 | avg 0.155794 | lr 7.16e-07 | 4:07:53 | ETA 0:49:34
+[17:38:16]   Checkpoint -> RESULTS/multigen/run_010/checkpoint-25000
+  Step   25100 | Ep 0 | loss 0.274558 | avg 0.158123 | lr 6.88e-07 | 4:08:55 | ETA 0:48:35
+  Step   25200 | Ep 0 | loss 0.099692 | avg 0.157729 | lr 6.61e-07 | 4:09:54 | ETA 0:47:36
+  Step   25300 | Ep 0 | loss 0.069795 | avg 0.156609 | lr 6.34e-07 | 4:10:53 | ETA 0:46:36
+  Step   25400 | Ep 0 | loss 0.231292 | avg 0.158192 | lr 6.08e-07 | 4:11:52 | ETA 0:45:36
+  Step   25500 | Ep 0 | loss 0.071253 | avg 0.158279 | lr 5.82e-07 | 4:12:52 | ETA 0:44:37
+  Step   25600 | Ep 0 | loss 0.029940 | avg 0.156961 | lr 5.57e-07 | 4:13:51 | ETA 0:43:37
+  Step   25700 | Ep 0 | loss 0.115638 | avg 0.155621 | lr 5.33e-07 | 4:14:50 | ETA 0:42:38
+  Step   25800 | Ep 0 | loss 0.148671 | avg 0.155046 | lr 5.09e-07 | 4:15:49 | ETA 0:41:38
+  Step   25900 | Ep 0 | loss 0.392361 | avg 0.157160 | lr 4.85e-07 | 4:16:48 | ETA 0:40:39
+  Step   26000 | Ep 0 | loss 0.009005 | avg 0.156088 | lr 4.62e-07 | 4:17:48 | ETA 0:39:39
+[17:48:09] Generating 4 validation images ...
+[17:48:14] Saved -> RESULTS/multigen/run_010/validation/collage_step_0026000.png
+  Step   26100 | Ep 0 | loss 0.045139 | avg 0.154807 | lr 4.40e-07 | 4:18:53 | ETA 0:38:41
+  Step   26200 | Ep 0 | loss 0.262310 | avg 0.154544 | lr 4.18e-07 | 4:19:52 | ETA 0:37:41
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+  Step   28000 | Ep 0 | loss 0.015334 | avg 0.152353 | lr 1.17e-07 | 4:37:38 | ETA 0:19:49
+[18:07:59] Generating 4 validation images ...
+[18:08:05] Saved -> RESULTS/multigen/run_010/validation/collage_step_0028000.png
+  Step   28100 | Ep 0 | loss 0.074442 | avg 0.152154 | lr 1.06e-07 | 4:38:44 | ETA 0:18:50
+  Step   28200 | Ep 0 | loss 0.241085 | avg 0.154459 | lr 9.48e-08 | 4:39:43 | ETA 0:17:51
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+  Step   29800 | Ep 0 | loss 0.138509 | avg 0.148439 | lr 1.17e-09 | 4:55:29 | ETA 0:01:58
+  Step   29900 | Ep 0 | loss 0.155351 | avg 0.147838 | lr 2.93e-10 | 4:56:29 | ETA 0:00:59
+  Step   30000 | Ep 0 | loss 0.256305 | avg 0.149542 | lr 0.00e+00 | 4:57:28 | ETA 0:00:00
+[18:27:51]   Checkpoint -> RESULTS/multigen/run_010/checkpoint-30000
+[18:27:52] Generating 4 validation images ...
+[18:27:57] Saved -> RESULTS/multigen/run_010/validation/collage_step_0030000.png
+[18:28:14] Final pipeline saved -> RESULTS/multigen/run_010
+[18:28:14] SUMMARY: {'total_steps': 300, 'final_loss': 0.2563045620918274, 'avg_last_100': 0.1495418712659739, 'min_loss': 0.0008532931096851826, 'total_time': '4:57:53'}

multigen/run_010/training_args.json

@@ -0,0 +1,13 @@
+{
+  "model": "PixArt-Sigma",
+  "pretrained_model": "/data/shubham/hf_cache/hub/models--PixArt-alpha--PixArt-Sigma-XL-2-512-MS/snapshots/76fb7eb5a9314bc1e4e479d2f13447517fca9be4",
+  "vae_stage1_dir": "./weights/run_009/checkpoint-10000/autoencoderkl",
+  "data_dir": "../data/multigen",
+  "resolution": 512,
+  "train_batch_size": 4,
+  "max_train_steps": 30000,
+  "learning_rate": 1e-05,
+  "prediction_type": "epsilon",
+  "max_sequence_length": 300,
+  "mixed_precision": "bf16"
+}

multigen/run_010/transformer/config.json

@@ -0,0 +1,30 @@
+{
+  "_class_name": "PixArtTransformer2DModel",
+  "_diffusers_version": "0.37.1",
+  "_name_or_path": "/data/shubham/hf_cache/hub/models--PixArt-alpha--PixArt-Sigma-XL-2-512-MS/snapshots/76fb7eb5a9314bc1e4e479d2f13447517fca9be4",
+  "activation_fn": "gelu-approximate",
+  "attention_bias": true,
+  "attention_head_dim": 72,
+  "attention_type": "default",
+  "caption_channels": 4096,
+  "cross_attention_dim": 1152,
+  "double_self_attention": false,
+  "dropout": 0.0,
+  "in_channels": 4,
+  "interpolation_scale": 1,
+  "norm_elementwise_affine": false,
+  "norm_eps": 1e-06,
+  "norm_num_groups": 32,
+  "norm_type": "ada_norm_single",
+  "num_attention_heads": 16,
+  "num_embeds_ada_norm": 1000,
+  "num_layers": 28,
+  "num_vector_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 8,
+  "patch_size": 2,
+  "sample_size": 64,
+  "upcast_attention": false,
+  "use_additional_conditions": null,
+  "use_linear_projection": false
+}

multigen/run_010/transformer/diffusion_pytorch_model.safetensors

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+oid sha256:6a0fd04c3cd77801727a7c0d28cac838a46dbfaacd99a992d43cbc2f3e0636ea
+size 1221780352

multigen/run_010/vae/config.json

@@ -0,0 +1,38 @@
+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.37.1",
+  "_name_or_path": "/data/shubham/hf_cache/hub/models--PixArt-alpha--PixArt-Sigma-XL-2-1024-MS/snapshots/e102b3591cc82e97071b8b4cb90d834d0c487207",
+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
+  ],
+  "force_upcast": false,
+  "in_channels": 3,
+  "latent_channels": 4,
+  "latents_mean": null,
+  "latents_std": null,
+  "layers_per_block": 2,
+  "mid_block_add_attention": true,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 512,
+  "scaling_factor": 0.13025,
+  "shift_factor": null,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ],
+  "use_post_quant_conv": true,
+  "use_quant_conv": true
+}

multigen/run_010/vae/diffusion_pytorch_model.safetensors

@@ -0,0 +1,3 @@
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+size 334643268