| [2026-07-20 16:16:50] single-view monitor started interval=5 samples=4 gpu=0 |
| [2026-07-20 16:17:32] single-view monitor started interval=5 samples=4 gpu=0 |
| [2026-07-20 16:41:00] eval start checkpoint_epoch_0019 |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/envs/human3diffusion_cuda13/lib/python3.10/site-packages/transformers/utils/generic.py:311: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. |
| torch.utils._pytree._register_pytree_node( |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/envs/human3diffusion_cuda13/lib/python3.10/site-packages/transformers/utils/generic.py:311: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. |
| torch.utils._pytree._register_pytree_node( |
| WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: |
| PyTorch 2.10.0+cu128 with CUDA 1208 (you have 2.13.0+cu130) |
| Python 3.10.19 (you have 3.10.16) |
| Please reinstall xformers (see https://github.com/facebookresearch/xformers |
| Memory-efficient attention, SwiGLU, sparse and more won't be available. |
| Set XFORMERS_MORE_DETAILS=1 for more details |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/core/attention.py:25: UserWarning: xFormers is disabled (Attention) |
| warnings.warn("xFormers is disabled (Attention)") |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/core/attention.py:29: UserWarning: xFormers is not available (Attention) |
| warnings.warn("xFormers is not available (Attention)") |
| |
| |
| Infer 4 images |
| Number of samples: 4 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_00 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_02 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_01 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_03 |
| [upload-folder] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/code_snapshot -> experiments/realhumans_h3d_diffusion_span360/code_snapshot |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/checkpoint_epoch_0019/pytorch_model.bin -> experiments/realhumans_h3d_diffusion_span360/checkpoints/checkpoint_epoch_0019/pytorch_model.bin |
|
pytorch_model.bin: 0%| | 0.00/1.74G [00:00<?, ?B/s]
pytorch_model.bin: 0%| | 754k/1.74G [00:00<03:50, 7.54MB/s]
pytorch_model.bin: 0%| | 6.80M/1.74G [00:00<00:51, 33.8MB/s]
pytorch_model.bin: 1%| | 9.98M/1.74G [00:00<01:08, 25.2MB/s]
pytorch_model.bin: 1%| | 16.0M/1.74G [00:00<00:47, 36.3MB/s]
pytorch_model.bin: 1%| | 19.9M/1.74G [00:00<01:24, 20.3MB/s]
pytorch_model.bin: 2%|β | 26.4M/1.74G [00:01<01:04, 26.7MB/s]
pytorch_model.bin: 2%|β | 29.8M/1.74G [00:01<01:19, 21.5MB/s]
pytorch_model.bin: 2%|β | 32.6M/1.74G [00:01<02:07, 13.4MB/s]
pytorch_model.bin: 3%|β | 48.0M/1.74G [00:02<01:14, 22.8MB/s]
pytorch_model.bin: 3%|β | 59.4M/1.74G [00:02<00:54, 30.9MB/s]
pytorch_model.bin: 4%|β | 64.0M/1.74G [00:02<01:16, 21.8MB/s]
pytorch_model.bin: 5%|β | 80.0M/1.74G [00:03<00:53, 30.7MB/s]
pytorch_model.bin: 6%|β | 96.0M/1.74G [00:03<00:45, 35.9MB/s]
pytorch_model.bin: 6%|β | 112M/1.74G [00:03<00:40, 40.1MB/s]
pytorch_model.bin: 7%|β | 126M/1.74G [00:03<00:34, 47.4MB/s]
pytorch_model.bin: 8%|β | 131M/1.74G [00:04<00:48, 33.2MB/s]
pytorch_model.bin: 8%|β | 144M/1.74G [00:04<00:44, 35.7MB/s]
pytorch_model.bin: 9%|β | 160M/1.74G [00:04<00:39, 40.2MB/s]
pytorch_model.bin: 10%|β | 174M/1.74G [00:05<00:31, 49.8MB/s]
pytorch_model.bin: 10%|β | 181M/1.74G [00:05<00:43, 35.6MB/s]
pytorch_model.bin: 11%|β | 192M/1.74G [00:05<00:43, 35.6MB/s]
pytorch_model.bin: 12%|ββ | 204M/1.74G [00:06<00:43, 35.1MB/s]
pytorch_model.bin: 12%|ββ | 208M/1.74G [00:06<00:43, 35.2MB/s]
pytorch_model.bin: 12%|ββ | 212M/1.74G [00:06<01:00, 25.3MB/s]
pytorch_model.bin: 13%|ββ | 224M/1.74G [00:07<00:49, 30.6MB/s]
pytorch_model.bin: 14%|ββ | 240M/1.74G [00:07<00:40, 36.8MB/s]
pytorch_model.bin: 15%|ββ | 256M/1.74G [00:07<00:36, 40.9MB/s]
pytorch_model.bin: 16%|ββ | 272M/1.74G [00:07<00:33, 43.5MB/s]
pytorch_model.bin: 17%|ββ | 288M/1.74G [00:08<00:33, 43.8MB/s]
pytorch_model.bin: 18%|ββ | 304M/1.74G [00:08<00:29, 48.1MB/s]
pytorch_model.bin: 18%|ββ | 316M/1.74G [00:08<00:29, 48.0MB/s]
pytorch_model.bin: 18%|ββ | 320M/1.74G [00:09<00:44, 32.2MB/s]
pytorch_model.bin: 19%|ββ | 336M/1.74G [00:09<00:39, 35.5MB/s]
pytorch_model.bin: 20%|ββ | 352M/1.74G [00:09<00:33, 41.3MB/s]
pytorch_model.bin: 21%|ββ | 368M/1.74G [00:10<00:29, 45.8MB/s]
pytorch_model.bin: 22%|βββ | 384M/1.74G [00:10<00:27, 48.5MB/s]
pytorch_model.bin: 23%|βββ | 400M/1.74G [00:10<00:27, 48.3MB/s]
pytorch_model.bin: 24%|βββ | 416M/1.74G [00:11<00:27, 48.4MB/s]
pytorch_model.bin: 25%|βββ | 432M/1.74G [00:11<00:26, 48.4MB/s]
pytorch_model.bin: 26%|βββ | 448M/1.74G [00:11<00:25, 49.7MB/s]
pytorch_model.bin: 27%|βββ | 464M/1.74G [00:12<00:25, 50.4MB/s]
pytorch_model.bin: 28%|βββ | 480M/1.74G [00:12<00:24, 51.0MB/s]
pytorch_model.bin: 29%|βββ | 496M/1.74G [00:12<00:24, 51.4MB/s]
pytorch_model.bin: 29%|βββ | 512M/1.74G [00:13<00:23, 51.2MB/s]
pytorch_model.bin: 30%|βββ | 528M/1.74G [00:13<00:24, 49.5MB/s]
pytorch_model.bin: 31%|ββββ | 544M/1.74G [00:13<00:23, 51.5MB/s]
pytorch_model.bin: 32%|ββββ | 560M/1.74G [00:13<00:23, 51.1MB/s]
pytorch_model.bin: 33%|ββββ | 576M/1.74G [00:14<00:22, 51.4MB/s]
pytorch_model.bin: 34%|ββββ | 592M/1.74G [00:14<00:21, 52.3MB/s]
pytorch_model.bin: 35%|ββββ | 608M/1.74G [00:14<00:21, 53.6MB/s]
pytorch_model.bin: 36%|ββββ | 624M/1.74G [00:15<00:21, 50.8MB/s]
pytorch_model.bin: 37%|ββββ | 640M/1.74G [00:15<00:22, 49.6MB/s]
pytorch_model.bin: 38%|ββββ | 656M/1.74G [00:15<00:21, 50.4MB/s]
pytorch_model.bin: 39%|ββββ | 672M/1.74G [00:16<00:21, 50.2MB/s]
pytorch_model.bin: 40%|ββββ | 688M/1.74G [00:16<00:19, 52.6MB/s]
pytorch_model.bin: 41%|ββββ | 704M/1.74G [00:16<00:18, 54.6MB/s]
pytorch_model.bin: 41%|βββββ | 720M/1.74G [00:17<00:18, 54.9MB/s]
pytorch_model.bin: 42%|βββββ | 736M/1.74G [00:17<00:18, 53.1MB/s]
pytorch_model.bin: 43%|βββββ | 752M/1.74G [00:17<00:19, 51.0MB/s]
pytorch_model.bin: 44%|βββββ | 768M/1.74G [00:18<00:19, 48.5MB/s]
pytorch_model.bin: 45%|βββββ | 784M/1.74G [00:18<00:19, 48.2MB/s]
pytorch_model.bin: 46%|βββββ | 800M/1.74G [00:18<00:19, 49.2MB/s]
pytorch_model.bin: 47%|βββββ | 816M/1.74G [00:19<00:18, 50.2MB/s]
pytorch_model.bin: 48%|βββββ | 832M/1.74G [00:19<00:17, 51.8MB/s]
pytorch_model.bin: 49%|βββββ | 848M/1.74G [00:19<00:17, 50.2MB/s]
pytorch_model.bin: 50%|βββββ | 864M/1.74G [00:20<00:18, 47.9MB/s]
pytorch_model.bin: 51%|βββββ | 880M/1.74G [00:20<00:18, 46.9MB/s]
pytorch_model.bin: 52%|ββββββ | 896M/1.74G [00:20<00:17, 47.5MB/s]
pytorch_model.bin: 53%|ββββββ | 912M/1.74G [00:20<00:16, 49.1MB/s]
pytorch_model.bin: 53%|ββββββ | 928M/1.74G [00:21<00:17, 45.4MB/s]
pytorch_model.bin: 54%|ββββββ | 944M/1.74G [00:21<00:16, 46.8MB/s]
pytorch_model.bin: 55%|ββββββ | 960M/1.74G [00:22<00:16, 46.5MB/s]
pytorch_model.bin: 56%|ββββββ | 976M/1.74G [00:22<00:16, 46.5MB/s]
pytorch_model.bin: 57%|ββββββ | 992M/1.74G [00:22<00:15, 46.8MB/s]
pytorch_model.bin: 58%|ββββββ | 1.01G/1.74G [00:23<00:15, 48.4MB/s]
pytorch_model.bin: 59%|ββββββ | 1.02G/1.74G [00:23<00:14, 50.3MB/s]
pytorch_model.bin: 60%|ββββββ | 1.04G/1.74G [00:23<00:13, 51.4MB/s]
pytorch_model.bin: 61%|ββββββ | 1.06G/1.74G [00:23<00:12, 53.4MB/s]
pytorch_model.bin: 62%|βββββββ | 1.07G/1.74G [00:24<00:12, 54.9MB/s]
pytorch_model.bin: 63%|βββββββ | 1.09G/1.74G [00:24<00:12, 53.1MB/s]
pytorch_model.bin: 64%|βββββββ | 1.10G/1.74G [00:24<00:12, 51.9MB/s]
pytorch_model.bin: 64%|βββββββ | 1.12G/1.74G [00:25<00:11, 53.3MB/s]
pytorch_model.bin: 65%|βββββββ | 1.14G/1.74G [00:25<00:11, 51.9MB/s]
pytorch_model.bin: 66%|βββββββ | 1.15G/1.74G [00:25<00:11, 52.5MB/s]
pytorch_model.bin: 67%|βββββββ | 1.17G/1.74G [00:26<00:11, 48.5MB/s]
pytorch_model.bin: 68%|βββββββ | 1.18G/1.74G [00:26<00:10, 50.7MB/s]
pytorch_model.bin: 69%|βββββββ | 1.20G/1.74G [00:26<00:10, 52.0MB/s]
pytorch_model.bin: 70%|βββββββ | 1.22G/1.74G [00:26<00:09, 53.9MB/s]
pytorch_model.bin: 71%|βββββββ | 1.23G/1.74G [00:27<00:09, 53.1MB/s]
pytorch_model.bin: 72%|ββββββββ | 1.25G/1.74G [00:27<00:10, 48.8MB/s]
pytorch_model.bin: 73%|ββββββββ | 1.26G/1.74G [00:27<00:09, 50.2MB/s]
pytorch_model.bin: 74%|ββββββββ | 1.28G/1.74G [00:28<00:08, 51.8MB/s]
pytorch_model.bin: 75%|ββββββββ | 1.30G/1.74G [00:28<00:08, 49.7MB/s]
pytorch_model.bin: 76%|ββββββββ | 1.31G/1.74G [00:28<00:08, 49.5MB/s]
pytorch_model.bin: 76%|ββββββββ | 1.33G/1.74G [00:29<00:08, 49.0MB/s]
pytorch_model.bin: 77%|ββββββββ | 1.34G/1.74G [00:29<00:08, 45.4MB/s]
pytorch_model.bin: 78%|ββββββββ | 1.36G/1.74G [00:30<00:08, 46.5MB/s]
pytorch_model.bin: 79%|ββββββββ | 1.38G/1.74G [00:30<00:08, 43.8MB/s]
pytorch_model.bin: 80%|ββββββββ | 1.39G/1.74G [00:30<00:07, 47.5MB/s]
pytorch_model.bin: 81%|ββββββββ | 1.41G/1.74G [00:30<00:06, 49.2MB/s]
pytorch_model.bin: 82%|βββββββββ | 1.42G/1.74G [00:31<00:06, 49.7MB/s]
pytorch_model.bin: 83%|βββββββββ | 1.44G/1.74G [00:31<00:05, 50.6MB/s]
pytorch_model.bin: 84%|βββββββββ | 1.46G/1.74G [00:31<00:05, 52.5MB/s]
pytorch_model.bin: 85%|βββββββββ | 1.47G/1.74G [00:32<00:05, 52.5MB/s]
pytorch_model.bin: 86%|βββββββββ | 1.49G/1.74G [00:32<00:04, 50.0MB/s]
pytorch_model.bin: 87%|βββββββββ | 1.50G/1.74G [00:32<00:04, 50.9MB/s]
pytorch_model.bin: 88%|βββββββββ | 1.52G/1.74G [00:33<00:04, 47.4MB/s]
pytorch_model.bin: 88%|βββββββββ | 1.54G/1.74G [00:33<00:04, 48.5MB/s]
pytorch_model.bin: 89%|βββββββββ | 1.55G/1.74G [00:33<00:03, 50.1MB/s]
pytorch_model.bin: 90%|βββββββββ | 1.57G/1.74G [00:34<00:03, 48.0MB/s]
pytorch_model.bin: 91%|βββββββββ | 1.58G/1.74G [00:34<00:03, 49.2MB/s]
pytorch_model.bin: 92%|ββββββββββ| 1.60G/1.74G [00:34<00:02, 49.4MB/s]
pytorch_model.bin: 93%|ββββββββββ| 1.62G/1.74G [00:35<00:02, 48.3MB/s]
pytorch_model.bin: 94%|ββββββββββ| 1.63G/1.74G [00:35<00:02, 50.7MB/s]
pytorch_model.bin: 95%|ββββββββββ| 1.65G/1.74G [00:35<00:01, 51.8MB/s]
pytorch_model.bin: 96%|ββββββββββ| 1.66G/1.74G [00:36<00:01, 52.2MB/s]
pytorch_model.bin: 97%|ββββββββββ| 1.68G/1.74G [00:36<00:01, 53.2MB/s]
pytorch_model.bin: 98%|ββββββββββ| 1.70G/1.74G [00:36<00:00, 50.7MB/s]
pytorch_model.bin: 99%|ββββββββββ| 1.71G/1.74G [00:37<00:00, 48.8MB/s]
pytorch_model.bin: 99%|ββββββββββ| 1.73G/1.74G [00:37<00:00, 47.6MB/s]
pytorch_model.bin: 100%|ββββββββββ| 1.74G/1.74G [00:37<00:00, 46.1MB/s] |
| [upload-folder] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/singleview_eval_checkpoint_epoch_0019 -> experiments/realhumans_h3d_diffusion_span360/eval/singleview_eval_checkpoint_epoch_0019 |
|
gs.ply: 0%| | 0.00/1.35M [00:00<?, ?B/s] |
|
mvrendering_3dgs.png: 0%| | 0.00/1.29M [00:00<?, ?B/s][A |
|
|
|
gs.ply: 0%| | 0.00/1.38M [00:00<?, ?B/s][A[A |
|
|
|
|
|
Upload 11 LFS files: 0%| | 0/11 [00:00<?, ?it/s][A[A[A |
|
|
|
|
|
|
|
input.png: 0%| | 0.00/14.6k [00:00<?, ?B/s][A[A[A[A |
|
|
|
|
|
|
|
|
|
mvrendering_3dgs.png: 0%| | 0.00/1.18M [00:00<?, ?B/s][A[A[A[A[A
gs.ply: 1%| | 16.4k/1.35M [00:00<00:12, 109kB/s] |
|
mvrendering_3dgs.png: 1%|β | 16.4k/1.29M [00:00<00:14, 86.5kB/s][A |
|
|
|
|
|
|
|
input.png: 100%|ββββββββββ| 14.6k/14.6k [00:00<00:00, 76.5kB/s][A[A[A[A |
|
|
|
|
|
|
|
|
|
mvrendering_3dgs.png: 1%|β | 16.4k/1.18M [00:00<00:13, 85.6kB/s][A[A[A[A[A |
|
|
|
gs.ply: 1%| | 16.4k/1.38M [00:00<00:16, 81.5kB/s][A[A
input.png: 100%|ββββββββββ| 14.6k/14.6k [00:00<00:00, 45.0kB/s] |
|
gs.ply: 100%|ββββββββββ| 1.35M/1.35M [00:00<00:00, 3.92MB/s] |
|
mvrendering_3dgs.png: 100%|ββββββββββ| 1.18M/1.18M [00:00<00:00, 2.72MB/s] |
|
|
|
|
|
|
|
Upload 11 LFS files: 9%|β | 1/11 [00:00<00:05, 1.80it/s][A[A[A
gs.ply: 0%| | 0.00/1.35M [00:00<?, ?B/s] |
|
|
|
|
|
|
|
input.png: 0%| | 0.00/15.8k [00:00<?, ?B/s][A[A[A[A
mvrendering_3dgs.png: 100%|ββββββββββ| 1.29M/1.29M [00:00<00:00, 2.26MB/s] |
|
|
|
mvrendering_3dgs.png: 0%| | 0.00/1.15M [00:00<?, ?B/s][A
input.png: 100%|ββββββββββ| 15.8k/15.8k [00:00<00:00, 108kB/s] |
|
gs.ply: 100%|ββββββββββ| 1.38M/1.38M [00:00<00:00, 1.88MB/s] |
|
|
|
|
|
|
|
Upload 11 LFS files: 18%|ββ | 2/11 [00:00<00:03, 2.91it/s][A[A[A |
|
|
|
gs.ply: 0%| | 0.00/1.35M [00:00<?, ?B/s][A[A |
|
|
|
|
|
|
|
input.png: 0%| | 0.00/16.5k [00:00<?, ?B/s][A[A[A[A
gs.ply: 100%|ββββββββββ| 1.35M/1.35M [00:00<00:00, 3.54MB/s] |
|
|
|
|
|
|
|
Upload 11 LFS files: 27%|βββ | 3/11 [00:00<00:02, 3.57it/s][A[A[A
mvrendering_3dgs.png: 0%| | 0.00/1.19M [00:00<?, ?B/s]
input.png: 100%|ββββββββββ| 16.5k/16.5k [00:00<00:00, 115kB/s] |
|
gs.ply: 100%|ββββββββββ| 1.35M/1.35M [00:00<00:00, 4.50MB/s] |
|
mvrendering_3dgs.png: 100%|ββββββββββ| 1.15M/1.15M [00:00<00:00, 2.88MB/s] |
|
|
|
|
|
|
|
Upload 11 LFS files: 55%|ββββββ | 6/11 [00:01<00:00, 8.00it/s][A[A[A |
|
|
|
|
|
Upload 11 LFS files: 73%|ββββββββ | 8/11 [00:01<00:00, 10.19it/s][A[A[A
mvrendering_3dgs.png: 100%|ββββββββββ| 1.19M/1.19M [00:00<00:00, 3.89MB/s] |
|
|
|
|
|
|
|
Upload 11 LFS files: 100%|ββββββββββ| 11/11 [00:01<00:00, 9.29it/s][A[A[A
Upload 11 LFS files: 100%|ββββββββββ| 11/11 [00:01<00:00, 7.05it/s] |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/loss.tsv -> experiments/realhumans_h3d_diffusion_span360/logs/loss.tsv |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/eval_monitor.log -> experiments/realhumans_h3d_diffusion_span360/logs/eval_monitor.log |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/train_realhumans_h3d_diffusion_span360.log -> experiments/realhumans_h3d_diffusion_span360/logs/train_realhumans_h3d_diffusion_span360.log |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/eval_monitor.log -> experiments/realhumans_h3d_diffusion_span360/logs/eval_monitor.log |
| [2026-07-20 16:45:18] eval done checkpoint_epoch_0019 |
| [2026-07-20 17:12:45] eval start checkpoint_epoch_0024 |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/envs/human3diffusion_cuda13/lib/python3.10/site-packages/transformers/utils/generic.py:311: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. |
| torch.utils._pytree._register_pytree_node( |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/envs/human3diffusion_cuda13/lib/python3.10/site-packages/transformers/utils/generic.py:311: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. |
| torch.utils._pytree._register_pytree_node( |
| WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: |
| PyTorch 2.10.0+cu128 with CUDA 1208 (you have 2.13.0+cu130) |
| Python 3.10.19 (you have 3.10.16) |
| Please reinstall xformers (see https://github.com/facebookresearch/xformers |
| Memory-efficient attention, SwiGLU, sparse and more won't be available. |
| Set XFORMERS_MORE_DETAILS=1 for more details |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/core/attention.py:25: UserWarning: xFormers is disabled (Attention) |
| warnings.warn("xFormers is disabled (Attention)") |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/core/attention.py:29: UserWarning: xFormers is not available (Attention) |
| warnings.warn("xFormers is not available (Attention)") |
| |
| |
| Infer 4 images |
| Number of samples: 4 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_00 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_02 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_01 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_03 |
| [upload-folder] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/code_snapshot -> experiments/realhumans_h3d_diffusion_span360/code_snapshot |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/checkpoint_epoch_0024/pytorch_model.bin -> experiments/realhumans_h3d_diffusion_span360/checkpoints/checkpoint_epoch_0024/pytorch_model.bin |
|
pytorch_model.bin: 0%| | 0.00/1.74G [00:00<?, ?B/s]
pytorch_model.bin: 0%| | 4.60M/1.74G [00:00<00:40, 43.0MB/s]
pytorch_model.bin: 1%| | 8.91M/1.74G [00:00<01:03, 27.1MB/s]
pytorch_model.bin: 1%| | 16.0M/1.74G [00:00<01:31, 18.8MB/s]
pytorch_model.bin: 2%|β | 31.7M/1.74G [00:00<00:45, 37.9MB/s]
pytorch_model.bin: 2%|β | 36.5M/1.74G [00:01<01:02, 27.0MB/s]
pytorch_model.bin: 3%|β | 47.2M/1.74G [00:01<00:48, 35.1MB/s]
pytorch_model.bin: 3%|β | 51.6M/1.74G [00:01<01:10, 23.8MB/s]
pytorch_model.bin: 3%|β | 59.8M/1.74G [00:02<01:02, 26.9MB/s]
pytorch_model.bin: 4%|β | 64.0M/1.74G [00:02<01:28, 18.9MB/s]
pytorch_model.bin: 5%|β | 80.0M/1.74G [00:03<01:02, 26.5MB/s]
pytorch_model.bin: 6%|β | 96.0M/1.74G [00:03<00:53, 30.9MB/s]
pytorch_model.bin: 6%|β | 107M/1.74G [00:03<00:46, 34.8MB/s]
pytorch_model.bin: 6%|β | 111M/1.74G [00:03<00:47, 33.9MB/s]
pytorch_model.bin: 7%|β | 114M/1.74G [00:04<01:05, 24.7MB/s]
pytorch_model.bin: 7%|β | 128M/1.74G [00:04<00:55, 29.0MB/s]
pytorch_model.bin: 8%|β | 144M/1.74G [00:04<00:44, 36.1MB/s]
pytorch_model.bin: 9%|β | 160M/1.74G [00:05<00:41, 38.4MB/s]
pytorch_model.bin: 10%|β | 176M/1.74G [00:05<00:36, 42.5MB/s]
pytorch_model.bin: 11%|β | 192M/1.74G [00:05<00:34, 44.8MB/s]
pytorch_model.bin: 12%|ββ | 208M/1.74G [00:06<00:32, 46.7MB/s]
pytorch_model.bin: 13%|ββ | 220M/1.74G [00:06<00:30, 50.4MB/s]
pytorch_model.bin: 13%|ββ | 225M/1.74G [00:06<00:48, 31.3MB/s]
pytorch_model.bin: 14%|ββ | 240M/1.74G [00:07<00:42, 34.9MB/s]
pytorch_model.bin: 15%|ββ | 256M/1.74G [00:07<00:40, 36.5MB/s]
pytorch_model.bin: 16%|ββ | 272M/1.74G [00:07<00:36, 40.4MB/s]
pytorch_model.bin: 16%|ββ | 286M/1.74G [00:08<00:30, 47.3MB/s]
pytorch_model.bin: 17%|ββ | 291M/1.74G [00:08<00:40, 35.5MB/s]
pytorch_model.bin: 18%|ββ | 304M/1.74G [00:08<00:38, 37.2MB/s]
pytorch_model.bin: 18%|ββ | 320M/1.74G [00:09<00:33, 42.7MB/s]
pytorch_model.bin: 19%|ββ | 336M/1.74G [00:09<00:32, 43.4MB/s]
pytorch_model.bin: 20%|ββ | 352M/1.74G [00:09<00:30, 45.7MB/s]
pytorch_model.bin: 21%|ββ | 368M/1.74G [00:10<00:28, 47.4MB/s]
pytorch_model.bin: 22%|βββ | 384M/1.74G [00:10<00:27, 48.8MB/s]
pytorch_model.bin: 23%|βββ | 400M/1.74G [00:10<00:26, 49.7MB/s]
pytorch_model.bin: 24%|βββ | 416M/1.74G [00:10<00:25, 50.9MB/s]
pytorch_model.bin: 25%|βββ | 432M/1.74G [00:11<00:25, 51.7MB/s]
pytorch_model.bin: 26%|βββ | 448M/1.74G [00:11<00:25, 51.4MB/s]
pytorch_model.bin: 27%|βββ | 464M/1.74G [00:11<00:26, 48.9MB/s]
pytorch_model.bin: 28%|βββ | 480M/1.74G [00:12<00:26, 48.3MB/s]
pytorch_model.bin: 29%|βββ | 496M/1.74G [00:12<00:29, 41.4MB/s]
pytorch_model.bin: 29%|βββ | 512M/1.74G [00:13<00:27, 44.6MB/s]
pytorch_model.bin: 30%|βββ | 528M/1.74G [00:13<00:26, 45.3MB/s]
pytorch_model.bin: 31%|ββββ | 544M/1.74G [00:13<00:25, 46.3MB/s]
pytorch_model.bin: 32%|ββββ | 560M/1.74G [00:14<00:24, 48.1MB/s]
pytorch_model.bin: 33%|ββββ | 576M/1.74G [00:14<00:25, 46.1MB/s]
pytorch_model.bin: 34%|ββββ | 592M/1.74G [00:14<00:23, 48.3MB/s]
pytorch_model.bin: 35%|ββββ | 608M/1.74G [00:15<00:23, 49.0MB/s]
pytorch_model.bin: 36%|ββββ | 624M/1.74G [00:15<00:26, 41.9MB/s]
pytorch_model.bin: 37%|ββββ | 640M/1.74G [00:15<00:26, 41.6MB/s]
pytorch_model.bin: 38%|ββββ | 656M/1.74G [00:16<00:24, 45.0MB/s]
pytorch_model.bin: 39%|ββββ | 672M/1.74G [00:16<00:23, 45.6MB/s]
pytorch_model.bin: 40%|ββββ | 688M/1.74G [00:16<00:22, 46.2MB/s]
pytorch_model.bin: 41%|ββββ | 704M/1.74G [00:17<00:21, 48.9MB/s]
pytorch_model.bin: 41%|βββββ | 720M/1.74G [00:17<00:19, 51.2MB/s]
pytorch_model.bin: 42%|βββββ | 736M/1.74G [00:17<00:20, 49.4MB/s]
pytorch_model.bin: 43%|βββββ | 752M/1.74G [00:18<00:19, 51.0MB/s]
pytorch_model.bin: 44%|βββββ | 768M/1.74G [00:18<00:18, 51.4MB/s]
pytorch_model.bin: 45%|βββββ | 784M/1.74G [00:18<00:18, 50.9MB/s]
pytorch_model.bin: 46%|βββββ | 800M/1.74G [00:19<00:18, 49.4MB/s]
pytorch_model.bin: 47%|βββββ | 816M/1.74G [00:19<00:18, 50.7MB/s]
pytorch_model.bin: 48%|βββββ | 832M/1.74G [00:19<00:17, 51.7MB/s]
pytorch_model.bin: 49%|βββββ | 848M/1.74G [00:20<00:18, 46.8MB/s]
pytorch_model.bin: 50%|βββββ | 864M/1.74G [00:20<00:18, 47.6MB/s]
pytorch_model.bin: 51%|βββββ | 880M/1.74G [00:20<00:17, 48.0MB/s]
pytorch_model.bin: 52%|ββββββ | 896M/1.74G [00:21<00:17, 48.8MB/s]
pytorch_model.bin: 53%|ββββββ | 912M/1.74G [00:21<00:17, 47.3MB/s]
pytorch_model.bin: 53%|ββββββ | 928M/1.74G [00:21<00:17, 46.7MB/s]
pytorch_model.bin: 54%|ββββββ | 944M/1.74G [00:22<00:16, 47.2MB/s]
pytorch_model.bin: 55%|ββββββ | 960M/1.74G [00:22<00:16, 45.8MB/s]
pytorch_model.bin: 56%|ββββββ | 976M/1.74G [00:22<00:17, 43.4MB/s]
pytorch_model.bin: 57%|ββββββ | 990M/1.74G [00:22<00:14, 53.0MB/s]
pytorch_model.bin: 57%|ββββββ | 997M/1.74G [00:23<00:16, 45.1MB/s]
pytorch_model.bin: 58%|ββββββ | 1.01G/1.74G [00:23<00:17, 41.7MB/s]
pytorch_model.bin: 59%|ββββββ | 1.02G/1.74G [00:23<00:12, 55.7MB/s]
pytorch_model.bin: 59%|ββββββ | 1.03G/1.74G [00:23<00:15, 46.7MB/s]
pytorch_model.bin: 60%|ββββββ | 1.04G/1.74G [00:24<00:17, 38.8MB/s]
pytorch_model.bin: 61%|ββββββ | 1.05G/1.74G [00:24<00:13, 50.7MB/s]
pytorch_model.bin: 61%|ββββββ | 1.06G/1.74G [00:24<00:16, 42.0MB/s]
pytorch_model.bin: 62%|βββββββ | 1.07G/1.74G [00:25<00:16, 40.0MB/s]
pytorch_model.bin: 63%|βββββββ | 1.09G/1.74G [00:25<00:11, 54.2MB/s]
pytorch_model.bin: 63%|βββββββ | 1.09G/1.74G [00:25<00:14, 44.3MB/s]
pytorch_model.bin: 64%|βββββββ | 1.10G/1.74G [00:25<00:17, 37.1MB/s]
pytorch_model.bin: 64%|βββββββ | 1.12G/1.74G [00:25<00:12, 49.7MB/s]
pytorch_model.bin: 65%|βββββββ | 1.12G/1.74G [00:26<00:15, 39.7MB/s]
pytorch_model.bin: 65%|βββββββ | 1.14G/1.74G [00:26<00:16, 36.5MB/s]
pytorch_model.bin: 66%|βββββββ | 1.15G/1.74G [00:26<00:11, 51.9MB/s]
pytorch_model.bin: 67%|βββββββ | 1.16G/1.74G [00:26<00:13, 44.0MB/s]
pytorch_model.bin: 67%|βββββββ | 1.17G/1.74G [00:27<00:15, 37.3MB/s]
pytorch_model.bin: 68%|βββββββ | 1.18G/1.74G [00:27<00:14, 37.3MB/s]
pytorch_model.bin: 69%|βββββββ | 1.20G/1.74G [00:27<00:10, 50.0MB/s]
pytorch_model.bin: 69%|βββββββ | 1.21G/1.74G [00:28<00:12, 42.5MB/s]
pytorch_model.bin: 70%|βββββββ | 1.22G/1.74G [00:28<00:13, 38.9MB/s]
pytorch_model.bin: 71%|βββββββ | 1.23G/1.74G [00:28<00:09, 53.8MB/s]
pytorch_model.bin: 71%|ββββββββ | 1.24G/1.74G [00:28<00:11, 44.7MB/s]
pytorch_model.bin: 72%|ββββββββ | 1.25G/1.74G [00:29<00:12, 40.6MB/s]
pytorch_model.bin: 73%|ββββββββ | 1.26G/1.74G [00:29<00:12, 36.4MB/s]
pytorch_model.bin: 74%|ββββββββ | 1.28G/1.74G [00:29<00:11, 38.7MB/s]
pytorch_model.bin: 75%|ββββββββ | 1.30G/1.74G [00:30<00:11, 39.2MB/s]
pytorch_model.bin: 76%|ββββββββ | 1.31G/1.74G [00:30<00:10, 41.7MB/s]
pytorch_model.bin: 76%|ββββββββ | 1.33G/1.74G [00:31<00:09, 42.8MB/s]
pytorch_model.bin: 77%|ββββββββ | 1.34G/1.74G [00:31<00:09, 42.9MB/s]
pytorch_model.bin: 78%|ββββββββ | 1.36G/1.74G [00:31<00:08, 43.8MB/s]
pytorch_model.bin: 79%|ββββββββ | 1.38G/1.74G [00:31<00:06, 55.3MB/s]
pytorch_model.bin: 80%|ββββββββ | 1.38G/1.74G [00:32<00:07, 45.8MB/s]
pytorch_model.bin: 80%|ββββββββ | 1.39G/1.74G [00:32<00:08, 39.7MB/s]
pytorch_model.bin: 81%|ββββββββ | 1.41G/1.74G [00:32<00:06, 53.1MB/s]
pytorch_model.bin: 81%|βββββββββ | 1.41G/1.74G [00:32<00:06, 46.8MB/s]
pytorch_model.bin: 82%|βββββββββ | 1.42G/1.74G [00:33<00:07, 40.6MB/s]
pytorch_model.bin: 83%|βββββββββ | 1.44G/1.74G [00:33<00:05, 55.8MB/s]
pytorch_model.bin: 83%|βββββββββ | 1.45G/1.74G [00:33<00:06, 44.6MB/s]
pytorch_model.bin: 84%|βββββββββ | 1.46G/1.74G [00:33<00:06, 40.9MB/s]
pytorch_model.bin: 85%|βββββββββ | 1.47G/1.74G [00:34<00:06, 42.2MB/s]
pytorch_model.bin: 86%|βββββββββ | 1.49G/1.74G [00:34<00:05, 41.8MB/s]
pytorch_model.bin: 87%|βββββββββ | 1.50G/1.74G [00:34<00:05, 43.3MB/s]
pytorch_model.bin: 88%|βββββββββ | 1.52G/1.74G [00:35<00:04, 45.4MB/s]
pytorch_model.bin: 88%|βββββββββ | 1.54G/1.74G [00:35<00:04, 43.5MB/s]
pytorch_model.bin: 89%|βββββββββ | 1.55G/1.74G [00:35<00:04, 44.2MB/s]
pytorch_model.bin: 90%|βββββββββ | 1.57G/1.74G [00:36<00:03, 44.5MB/s]
pytorch_model.bin: 91%|βββββββββ | 1.58G/1.74G [00:36<00:03, 44.3MB/s]
pytorch_model.bin: 92%|ββββββββββ| 1.60G/1.74G [00:37<00:03, 45.2MB/s]
pytorch_model.bin: 93%|ββββββββββ| 1.62G/1.74G [00:37<00:02, 41.4MB/s]
pytorch_model.bin: 94%|ββββββββββ| 1.63G/1.74G [00:37<00:02, 40.2MB/s]
pytorch_model.bin: 95%|ββββββββββ| 1.65G/1.74G [00:38<00:02, 40.4MB/s]
pytorch_model.bin: 96%|ββββββββββ| 1.66G/1.74G [00:38<00:01, 42.7MB/s]
pytorch_model.bin: 97%|ββββββββββ| 1.68G/1.74G [00:39<00:01, 42.2MB/s]
pytorch_model.bin: 98%|ββββββββββ| 1.70G/1.74G [00:39<00:01, 40.7MB/s]
pytorch_model.bin: 99%|ββββββββββ| 1.71G/1.74G [00:39<00:00, 42.0MB/s]
pytorch_model.bin: 99%|ββββββββββ| 1.73G/1.74G [00:40<00:00, 44.3MB/s]
pytorch_model.bin: 100%|ββββββββββ| 1.74G/1.74G [00:40<00:00, 43.0MB/s] |
| [upload-folder] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/singleview_eval_checkpoint_epoch_0024 -> experiments/realhumans_h3d_diffusion_span360/eval/singleview_eval_checkpoint_epoch_0024 |
|
gs.ply: 0%| | 0.00/1.37M [00:00<?, ?B/s] |
|
mvrendering_3dgs.png: 0%| | 0.00/1.27M [00:00<?, ?B/s][A |
|
|
|
gs.ply: 0%| | 0.00/1.41M [00:00<?, ?B/s][A[A |
|
|
|
|
|
mvrendering_3dgs.png: 0%| | 0.00/1.15M [00:00<?, ?B/s][A[A[A |
|
|
|
|
|
|
|
Upload 8 LFS files: 0%| | 0/8 [00:00<?, ?it/s][A[A[A[A |
|
|
|
|
|
|
|
|
|
gs.ply: 0%| | 0.00/1.37M [00:00<?, ?B/s][A[A[A[A[A |
|
|
|
|
|
mvrendering_3dgs.png: 1%|β | 16.4k/1.15M [00:00<00:10, 107kB/s][A[A[A |
|
mvrendering_3dgs.png: 1%|β | 16.4k/1.27M [00:00<00:11, 106kB/s][A |
|
|
|
|
|
|
|
|
|
gs.ply: 1%| | 16.4k/1.37M [00:00<00:12, 108kB/s][A[A[A[A[A
gs.ply: 1%| | 16.4k/1.37M [00:00<00:13, 103kB/s] |
|
|
|
gs.ply: 1%| | 16.4k/1.41M [00:00<00:13, 100kB/s][A[A
gs.ply: 100%|ββββββββββ| 1.37M/1.37M [00:00<00:00, 3.56MB/s] |
|
gs.ply: 100%|ββββββββββ| 1.41M/1.41M [00:00<00:00, 3.17MB/s] |
|
gs.ply: 100%|ββββββββββ| 1.37M/1.37M [00:00<00:00, 2.95MB/s] |
|
mvrendering_3dgs.png: 100%|ββββββββββ| 1.15M/1.15M [00:00<00:00, 2.25MB/s] |
|
mvrendering_3dgs.png: 100%|ββββββββββ| 1.27M/1.27M [00:00<00:00, 2.48MB/s] |
|
|
|
|
|
|
|
|
|
Upload 8 LFS files: 12%|ββ | 1/8 [00:00<00:03, 1.81it/s][A[A[A[A
mvrendering_3dgs.png: 0%| | 0.00/1.15M [00:00<?, ?B/s] |
|
gs.ply: 0%| | 0.00/1.37M [00:00<?, ?B/s][A |
|
|
|
mvrendering_3dgs.png: 0%| | 0.00/1.18M [00:00<?, ?B/s][A[A |
|
|
|
|
|
|
|
Upload 8 LFS files: 25%|βββ | 2/8 [00:00<00:01, 3.06it/s][A[A[A[A
mvrendering_3dgs.png: 100%|ββββββββββ| 1.15M/1.15M [00:00<00:00, 3.82MB/s] |
|
mvrendering_3dgs.png: 100%|ββββββββββ| 1.18M/1.18M [00:00<00:00, 3.86MB/s] |
|
|
|
|
|
|
|
|
|
Upload 8 LFS files: 75%|ββββββββ | 6/8 [00:01<00:00, 7.43it/s][A[A[A[A
gs.ply: 100%|ββββββββββ| 1.37M/1.37M [00:00<00:00, 2.46MB/s] |
|
|
|
|
|
|
|
|
|
Upload 8 LFS files: 88%|βββββββββ | 7/8 [00:01<00:00, 6.06it/s][A[A[A[A
Upload 8 LFS files: 100%|ββββββββββ| 8/8 [00:01<00:00, 6.12it/s] |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/loss.tsv -> experiments/realhumans_h3d_diffusion_span360/logs/loss.tsv |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/eval_monitor.log -> experiments/realhumans_h3d_diffusion_span360/logs/eval_monitor.log |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/train_realhumans_h3d_diffusion_span360.log -> experiments/realhumans_h3d_diffusion_span360/logs/train_realhumans_h3d_diffusion_span360.log |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/eval_monitor.log -> experiments/realhumans_h3d_diffusion_span360/logs/eval_monitor.log |
| [2026-07-20 17:17:02] eval done checkpoint_epoch_0024 |
| [2026-07-20 17:44:29] eval start checkpoint_epoch_0029 |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/envs/human3diffusion_cuda13/lib/python3.10/site-packages/transformers/utils/generic.py:311: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. |
| torch.utils._pytree._register_pytree_node( |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/envs/human3diffusion_cuda13/lib/python3.10/site-packages/transformers/utils/generic.py:311: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. |
| torch.utils._pytree._register_pytree_node( |
| WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: |
| PyTorch 2.10.0+cu128 with CUDA 1208 (you have 2.13.0+cu130) |
| Python 3.10.19 (you have 3.10.16) |
| Please reinstall xformers (see https://github.com/facebookresearch/xformers |
| Memory-efficient attention, SwiGLU, sparse and more won't be available. |
| Set XFORMERS_MORE_DETAILS=1 for more details |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/core/attention.py:25: UserWarning: xFormers is disabled (Attention) |
| warnings.warn("xFormers is disabled (Attention)") |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/core/attention.py:29: UserWarning: xFormers is not available (Attention) |
| warnings.warn("xFormers is not available (Attention)") |
| |
| |
| Infer 4 images |
| Number of samples: 4 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_00 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_02 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_01 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_03 |
| [upload-folder] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/code_snapshot -> experiments/realhumans_h3d_diffusion_span360/code_snapshot |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/checkpoint_epoch_0029/pytorch_model.bin -> experiments/realhumans_h3d_diffusion_span360/checkpoints/checkpoint_epoch_0029/pytorch_model.bin |
|
pytorch_model.bin: 0%| | 0.00/1.74G [00:00<?, ?B/s]
pytorch_model.bin: 0%| | 3.95M/1.74G [00:00<00:43, 39.5MB/s]
pytorch_model.bin: 1%| | 16.0M/1.74G [00:00<00:48, 35.8MB/s]
pytorch_model.bin: 1%|β | 25.4M/1.74G [00:00<00:35, 47.9MB/s]
pytorch_model.bin: 2%|β | 30.9M/1.74G [00:00<00:40, 42.2MB/s]
pytorch_model.bin: 2%|β | 35.5M/1.74G [00:01<01:07, 25.2MB/s]
pytorch_model.bin: 2%|β | 43.0M/1.74G [00:01<00:51, 32.9MB/s]
pytorch_model.bin: 3%|β | 48.0M/1.74G [00:01<01:18, 21.6MB/s]
pytorch_model.bin: 3%|β | 60.3M/1.74G [00:01<00:49, 33.7MB/s]
pytorch_model.bin: 4%|β | 65.4M/1.74G [00:02<01:13, 22.6MB/s]
pytorch_model.bin: 5%|β | 80.0M/1.74G [00:02<00:54, 30.1MB/s]
pytorch_model.bin: 6%|β | 96.0M/1.74G [00:02<00:46, 35.4MB/s]
pytorch_model.bin: 6%|β | 109M/1.74G [00:03<00:35, 45.9MB/s]
pytorch_model.bin: 7%|β | 115M/1.74G [00:03<00:51, 31.7MB/s]
pytorch_model.bin: 7%|β | 121M/1.74G [00:03<00:48, 33.5MB/s]
pytorch_model.bin: 7%|β | 126M/1.74G [00:03<00:49, 32.5MB/s]
pytorch_model.bin: 8%|β | 130M/1.74G [00:04<01:08, 23.4MB/s]
pytorch_model.bin: 8%|β | 144M/1.74G [00:04<00:52, 30.6MB/s]
pytorch_model.bin: 9%|β | 153M/1.74G [00:04<00:41, 38.3MB/s]
pytorch_model.bin: 9%|β | 159M/1.74G [00:04<00:41, 37.9MB/s]
pytorch_model.bin: 9%|β | 163M/1.74G [00:05<01:02, 25.4MB/s]
pytorch_model.bin: 10%|β | 173M/1.74G [00:05<00:45, 34.3MB/s]
pytorch_model.bin: 10%|β | 178M/1.74G [00:05<01:02, 24.9MB/s]
pytorch_model.bin: 11%|β | 192M/1.74G [00:06<00:49, 31.3MB/s]
pytorch_model.bin: 12%|ββ | 208M/1.74G [00:06<00:40, 37.3MB/s]
pytorch_model.bin: 13%|ββ | 224M/1.74G [00:06<00:40, 37.7MB/s]
pytorch_model.bin: 14%|ββ | 240M/1.74G [00:07<00:35, 42.0MB/s]
pytorch_model.bin: 14%|ββ | 248M/1.74G [00:07<00:32, 46.2MB/s]
pytorch_model.bin: 15%|ββ | 253M/1.74G [00:07<00:41, 35.6MB/s]
pytorch_model.bin: 15%|ββ | 258M/1.74G [00:07<00:58, 25.1MB/s]
pytorch_model.bin: 16%|ββ | 272M/1.74G [00:08<00:45, 31.9MB/s]
pytorch_model.bin: 17%|ββ | 288M/1.74G [00:08<00:39, 37.0MB/s]
pytorch_model.bin: 18%|ββ | 304M/1.74G [00:08<00:35, 40.9MB/s]
pytorch_model.bin: 18%|ββ | 320M/1.74G [00:09<00:31, 44.4MB/s]
pytorch_model.bin: 19%|ββ | 336M/1.74G [00:09<00:29, 47.4MB/s]
pytorch_model.bin: 20%|ββ | 352M/1.74G [00:09<00:27, 50.6MB/s]
pytorch_model.bin: 21%|ββ | 368M/1.74G [00:10<00:27, 50.1MB/s]
pytorch_model.bin: 22%|βββ | 384M/1.74G [00:10<00:25, 52.5MB/s]
pytorch_model.bin: 23%|βββ | 400M/1.74G [00:10<00:24, 53.6MB/s]
pytorch_model.bin: 24%|βββ | 416M/1.74G [00:10<00:24, 53.9MB/s]
pytorch_model.bin: 25%|βββ | 432M/1.74G [00:11<00:25, 50.5MB/s]
pytorch_model.bin: 26%|βββ | 448M/1.74G [00:11<00:26, 49.4MB/s]
pytorch_model.bin: 27%|βββ | 464M/1.74G [00:12<00:26, 48.1MB/s]
pytorch_model.bin: 28%|βββ | 480M/1.74G [00:12<00:26, 48.3MB/s]
pytorch_model.bin: 29%|βββ | 496M/1.74G [00:12<00:24, 50.0MB/s]
pytorch_model.bin: 29%|βββ | 512M/1.74G [00:12<00:23, 51.9MB/s]
pytorch_model.bin: 30%|βββ | 528M/1.74G [00:13<00:23, 50.8MB/s]
pytorch_model.bin: 31%|ββββ | 544M/1.74G [00:13<00:24, 49.2MB/s]
pytorch_model.bin: 32%|ββββ | 560M/1.74G [00:13<00:23, 51.2MB/s]
pytorch_model.bin: 33%|ββββ | 576M/1.74G [00:14<00:23, 49.5MB/s]
pytorch_model.bin: 34%|ββββ | 592M/1.74G [00:14<00:24, 46.4MB/s]
pytorch_model.bin: 35%|ββββ | 608M/1.74G [00:14<00:23, 47.5MB/s]
pytorch_model.bin: 36%|ββββ | 624M/1.74G [00:15<00:22, 49.4MB/s]
pytorch_model.bin: 37%|ββββ | 640M/1.74G [00:15<00:21, 50.3MB/s]
pytorch_model.bin: 38%|ββββ | 656M/1.74G [00:15<00:21, 50.2MB/s]
pytorch_model.bin: 39%|ββββ | 672M/1.74G [00:16<00:21, 50.6MB/s]
pytorch_model.bin: 40%|ββββ | 688M/1.74G [00:16<00:20, 51.2MB/s]
pytorch_model.bin: 41%|ββββ | 704M/1.74G [00:16<00:21, 49.0MB/s]
pytorch_model.bin: 41%|βββββ | 720M/1.74G [00:17<00:20, 48.9MB/s]
pytorch_model.bin: 42%|βββββ | 736M/1.74G [00:17<00:20, 49.6MB/s]
pytorch_model.bin: 43%|βββββ | 752M/1.74G [00:17<00:19, 49.4MB/s]
pytorch_model.bin: 44%|βββββ | 768M/1.74G [00:18<00:20, 48.4MB/s]
pytorch_model.bin: 45%|βββββ | 784M/1.74G [00:18<00:20, 47.4MB/s]
pytorch_model.bin: 46%|βββββ | 800M/1.74G [00:18<00:20, 46.3MB/s]
pytorch_model.bin: 47%|βββββ | 816M/1.74G [00:19<00:19, 48.2MB/s]
pytorch_model.bin: 48%|βββββ | 832M/1.74G [00:19<00:19, 46.0MB/s]
pytorch_model.bin: 49%|βββββ | 848M/1.74G [00:19<00:19, 46.5MB/s]
pytorch_model.bin: 50%|βββββ | 864M/1.74G [00:20<00:18, 47.5MB/s]
pytorch_model.bin: 51%|βββββ | 880M/1.74G [00:20<00:17, 47.9MB/s]
pytorch_model.bin: 52%|ββββββ | 896M/1.74G [00:20<00:18, 46.6MB/s]
pytorch_model.bin: 53%|ββββββ | 912M/1.74G [00:21<00:16, 49.0MB/s]
pytorch_model.bin: 53%|ββββββ | 928M/1.74G [00:21<00:15, 50.9MB/s]
pytorch_model.bin: 54%|ββββββ | 944M/1.74G [00:21<00:15, 51.6MB/s]
pytorch_model.bin: 55%|ββββββ | 960M/1.74G [00:22<00:15, 51.1MB/s]
pytorch_model.bin: 56%|ββββββ | 976M/1.74G [00:22<00:14, 51.9MB/s]
pytorch_model.bin: 57%|ββββββ | 992M/1.74G [00:22<00:14, 51.4MB/s]
pytorch_model.bin: 58%|ββββββ | 1.01G/1.74G [00:23<00:14, 50.9MB/s]
pytorch_model.bin: 59%|ββββββ | 1.02G/1.74G [00:23<00:13, 51.1MB/s]
pytorch_model.bin: 60%|ββββββ | 1.04G/1.74G [00:23<00:13, 50.4MB/s]
pytorch_model.bin: 61%|ββββββ | 1.06G/1.74G [00:24<00:13, 49.7MB/s]
pytorch_model.bin: 62%|βββββββ | 1.07G/1.74G [00:24<00:13, 49.1MB/s]
pytorch_model.bin: 63%|βββββββ | 1.09G/1.74G [00:24<00:13, 48.9MB/s]
pytorch_model.bin: 64%|βββββββ | 1.10G/1.74G [00:24<00:12, 51.2MB/s]
pytorch_model.bin: 64%|βββββββ | 1.12G/1.74G [00:25<00:12, 51.4MB/s]
pytorch_model.bin: 65%|βββββββ | 1.14G/1.74G [00:25<00:11, 50.8MB/s]
pytorch_model.bin: 66%|βββββββ | 1.15G/1.74G [00:25<00:11, 49.4MB/s]
pytorch_model.bin: 67%|βββββββ | 1.17G/1.74G [00:26<00:11, 50.1MB/s]
pytorch_model.bin: 68%|βββββββ | 1.18G/1.74G [00:26<00:11, 50.0MB/s]
pytorch_model.bin: 69%|βββββββ | 1.20G/1.74G [00:26<00:10, 50.6MB/s]
pytorch_model.bin: 70%|βββββββ | 1.22G/1.74G [00:27<00:10, 51.3MB/s]
pytorch_model.bin: 71%|βββββββ | 1.23G/1.74G [00:27<00:09, 51.8MB/s]
pytorch_model.bin: 72%|ββββββββ | 1.25G/1.74G [00:27<00:10, 46.4MB/s]
pytorch_model.bin: 73%|ββββββββ | 1.26G/1.74G [00:28<00:09, 47.4MB/s]
pytorch_model.bin: 74%|ββββββββ | 1.28G/1.74G [00:28<00:09, 47.9MB/s]
pytorch_model.bin: 75%|ββββββββ | 1.30G/1.74G [00:28<00:08, 49.2MB/s]
pytorch_model.bin: 76%|ββββββββ | 1.31G/1.74G [00:29<00:08, 48.9MB/s]
pytorch_model.bin: 76%|ββββββββ | 1.33G/1.74G [00:29<00:08, 45.8MB/s]
pytorch_model.bin: 77%|ββββββββ | 1.34G/1.74G [00:29<00:08, 46.5MB/s]
pytorch_model.bin: 78%|ββββββββ | 1.36G/1.74G [00:30<00:08, 46.1MB/s]
pytorch_model.bin: 79%|ββββββββ | 1.38G/1.74G [00:30<00:07, 48.1MB/s]
pytorch_model.bin: 80%|ββββββββ | 1.39G/1.74G [00:30<00:07, 48.3MB/s]
pytorch_model.bin: 81%|ββββββββ | 1.41G/1.74G [00:31<00:07, 46.8MB/s]
pytorch_model.bin: 82%|βββββββββ | 1.42G/1.74G [00:31<00:06, 46.4MB/s]
pytorch_model.bin: 83%|βββββββββ | 1.44G/1.74G [00:31<00:06, 45.5MB/s]
pytorch_model.bin: 84%|βββββββββ | 1.46G/1.74G [00:32<00:05, 47.8MB/s]
pytorch_model.bin: 85%|βββββββββ | 1.47G/1.74G [00:32<00:05, 47.4MB/s]
pytorch_model.bin: 86%|βββββββββ | 1.49G/1.74G [00:32<00:04, 49.9MB/s]
pytorch_model.bin: 87%|βββββββββ | 1.50G/1.74G [00:33<00:04, 50.4MB/s]
pytorch_model.bin: 88%|βββββββββ | 1.52G/1.74G [00:33<00:04, 49.6MB/s]
pytorch_model.bin: 88%|βββββββββ | 1.54G/1.74G [00:33<00:04, 48.9MB/s]
pytorch_model.bin: 89%|βββββββββ | 1.55G/1.74G [00:34<00:03, 49.7MB/s]
pytorch_model.bin: 90%|βββββββββ | 1.57G/1.74G [00:34<00:03, 51.2MB/s]
pytorch_model.bin: 91%|βββββββββ | 1.58G/1.74G [00:34<00:03, 48.2MB/s]
pytorch_model.bin: 92%|ββββββββββ| 1.60G/1.74G [00:35<00:02, 46.6MB/s]
pytorch_model.bin: 93%|ββββββββββ| 1.62G/1.74G [00:35<00:02, 48.4MB/s]
pytorch_model.bin: 94%|ββββββββββ| 1.63G/1.74G [00:35<00:02, 47.8MB/s]
pytorch_model.bin: 95%|ββββββββββ| 1.65G/1.74G [00:36<00:01, 49.4MB/s]
pytorch_model.bin: 96%|ββββββββββ| 1.66G/1.74G [00:36<00:01, 50.6MB/s]
pytorch_model.bin: 97%|ββββββββββ| 1.68G/1.74G [00:36<00:01, 52.4MB/s]
pytorch_model.bin: 98%|ββββββββββ| 1.70G/1.74G [00:37<00:00, 50.2MB/s]
pytorch_model.bin: 99%|ββββββββββ| 1.71G/1.74G [00:37<00:00, 47.9MB/s]
pytorch_model.bin: 99%|ββββββββββ| 1.73G/1.74G [00:37<00:00, 49.5MB/s]
pytorch_model.bin: 100%|ββββββββββ| 1.74G/1.74G [00:38<00:00, 45.6MB/s] |
| [upload-folder] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/singleview_eval_checkpoint_epoch_0029 -> experiments/realhumans_h3d_diffusion_span360/eval/singleview_eval_checkpoint_epoch_0029 |
|
gs.ply: 0%| | 0.00/1.37M [00:00<?, ?B/s] |
|
mvrendering_3dgs.png: 0%| | 0.00/1.30M [00:00<?, ?B/s][A |
|
|
|
gs.ply: 0%| | 0.00/1.39M [00:00<?, ?B/s][A[A |
|
|
|
|
|
Upload 8 LFS files: 0%| | 0/8 [00:00<?, ?it/s][A[A[A |
|
|
|
|
|
|
|
mvrendering_3dgs.png: 0%| | 0.00/1.17M [00:00<?, ?B/s][A[A[A[A |
|
|
|
|
|
|
|
|
|
gs.ply: 0%| | 0.00/1.36M [00:00<?, ?B/s][A[A[A[A[A
gs.ply: 1%| | 16.4k/1.37M [00:00<00:11, 117kB/s] |
|
mvrendering_3dgs.png: 1%|β | 16.4k/1.30M [00:00<00:11, 114kB/s][A |
|
|
|
gs.ply: 1%| | 16.4k/1.39M [00:00<00:12, 107kB/s][A[A |
|
|
|
|
|
|
|
|
|
gs.ply: 1%| | 16.4k/1.36M [00:00<00:12, 107kB/s][A[A[A[A[A |
|
|
|
|
|
|
|
mvrendering_3dgs.png: 1%|β | 16.4k/1.17M [00:00<00:10, 106kB/s][A[A[A[A
mvrendering_3dgs.png: 100%|ββββββββββ| 1.17M/1.17M [00:00<00:00, 3.26MB/s] |
|
mvrendering_3dgs.png: 100%|ββββββββββ| 1.30M/1.30M [00:00<00:00, 2.63MB/s] |
|
gs.ply: 100%|ββββββββββ| 1.39M/1.39M [00:00<00:00, 2.64MB/s] |
|
gs.ply: 100%|ββββββββββ| 1.37M/1.37M [00:00<00:00, 2.31MB/s] |
|
gs.ply: 100%|ββββββββββ| 1.36M/1.36M [00:00<00:00, 2.14MB/s] |
|
mvrendering_3dgs.png: 0%| | 0.00/1.16M [00:00<?, ?B/s] |
|
gs.ply: 0%| | 0.00/1.37M [00:00<?, ?B/s][A |
|
|
|
mvrendering_3dgs.png: 0%| | 0.00/1.23M [00:00<?, ?B/s][A[A |
|
|
|
|
|
Upload 8 LFS files: 12%|ββ | 1/8 [00:00<00:05, 1.30it/s][A[A[A
gs.ply: 100%|ββββββββββ| 1.37M/1.37M [00:00<00:00, 4.65MB/s] |
|
mvrendering_3dgs.png: 100%|ββββββββββ| 1.16M/1.16M [00:00<00:00, 2.66MB/s] |
|
mvrendering_3dgs.png: 100%|ββββββββββ| 1.23M/1.23M [00:00<00:00, 3.47MB/s] |
|
|
|
|
|
|
|
Upload 8 LFS files: 75%|ββββββββ | 6/8 [00:01<00:00, 5.67it/s][A[A[A
Upload 8 LFS files: 100%|ββββββββββ| 8/8 [00:01<00:00, 6.28it/s] |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/loss.tsv -> experiments/realhumans_h3d_diffusion_span360/logs/loss.tsv |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/eval_monitor.log -> experiments/realhumans_h3d_diffusion_span360/logs/eval_monitor.log |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/train_realhumans_h3d_diffusion_span360.log -> experiments/realhumans_h3d_diffusion_span360/logs/train_realhumans_h3d_diffusion_span360.log |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/eval_monitor.log -> experiments/realhumans_h3d_diffusion_span360/logs/eval_monitor.log |
| [2026-07-20 17:48:47] eval done checkpoint_epoch_0029 |
| [2026-07-20 18:16:15] eval start checkpoint_epoch_0034 |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/envs/human3diffusion_cuda13/lib/python3.10/site-packages/transformers/utils/generic.py:311: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. |
| torch.utils._pytree._register_pytree_node( |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/envs/human3diffusion_cuda13/lib/python3.10/site-packages/transformers/utils/generic.py:311: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. |
| torch.utils._pytree._register_pytree_node( |
| WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: |
| PyTorch 2.10.0+cu128 with CUDA 1208 (you have 2.13.0+cu130) |
| Python 3.10.19 (you have 3.10.16) |
| Please reinstall xformers (see https://github.com/facebookresearch/xformers |
| Memory-efficient attention, SwiGLU, sparse and more won't be available. |
| Set XFORMERS_MORE_DETAILS=1 for more details |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/core/attention.py:25: UserWarning: xFormers is disabled (Attention) |
| warnings.warn("xFormers is disabled (Attention)") |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/core/attention.py:29: UserWarning: xFormers is not available (Attention) |
| warnings.warn("xFormers is not available (Attention)") |
| |
| |
| Infer 4 images |
| Number of samples: 4 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_00 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_02 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_01 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_03 |
| [upload-folder] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/code_snapshot -> experiments/realhumans_h3d_diffusion_span360/code_snapshot |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/checkpoint_epoch_0034/pytorch_model.bin -> experiments/realhumans_h3d_diffusion_span360/checkpoints/checkpoint_epoch_0034/pytorch_model.bin |
|
pytorch_model.bin: 0%| | 0.00/1.74G [00:00<?, ?B/s]
pytorch_model.bin: 0%| | 1.38M/1.74G [00:00<02:10, 13.3MB/s]
pytorch_model.bin: 1%| | 12.8M/1.74G [00:00<00:37, 46.0MB/s]
pytorch_model.bin: 1%| | 16.8M/1.74G [00:00<01:21, 21.0MB/s]
pytorch_model.bin: 2%|β | 29.5M/1.74G [00:00<00:47, 35.8MB/s]
pytorch_model.bin: 2%|β | 33.9M/1.74G [00:01<01:21, 20.8MB/s]
pytorch_model.bin: 2%|β | 43.1M/1.74G [00:01<01:04, 26.4MB/s]
pytorch_model.bin: 3%|β | 46.6M/1.74G [00:01<01:05, 26.0MB/s]
pytorch_model.bin: 3%|β | 49.8M/1.74G [00:02<01:32, 18.2MB/s]
pytorch_model.bin: 4%|β | 64.0M/1.74G [00:02<01:00, 27.6MB/s]
pytorch_model.bin: 5%|β | 80.0M/1.74G [00:02<00:46, 35.5MB/s]
pytorch_model.bin: 6%|β | 96.0M/1.74G [00:03<00:40, 40.5MB/s]
pytorch_model.bin: 6%|β | 108M/1.74G [00:03<00:42, 38.4MB/s]
pytorch_model.bin: 6%|β | 112M/1.74G [00:03<00:42, 38.5MB/s]
pytorch_model.bin: 7%|β | 116M/1.74G [00:03<00:56, 28.6MB/s]
pytorch_model.bin: 7%|β | 128M/1.74G [00:04<00:49, 32.6MB/s]
pytorch_model.bin: 8%|β | 139M/1.74G [00:04<00:47, 33.9MB/s]
pytorch_model.bin: 8%|β | 143M/1.74G [00:04<00:46, 34.5MB/s]
pytorch_model.bin: 8%|β | 147M/1.74G [00:04<01:04, 24.7MB/s]
pytorch_model.bin: 9%|β | 155M/1.74G [00:05<01:02, 25.3MB/s]
pytorch_model.bin: 9%|β | 158M/1.74G [00:05<01:01, 25.6MB/s]
pytorch_model.bin: 9%|β | 161M/1.74G [00:05<01:29, 17.5MB/s]
pytorch_model.bin: 10%|β | 176M/1.74G [00:06<00:55, 28.1MB/s]
pytorch_model.bin: 11%|β | 192M/1.74G [00:06<00:42, 36.4MB/s]
pytorch_model.bin: 12%|ββ | 208M/1.74G [00:06<00:40, 38.0MB/s]
pytorch_model.bin: 13%|ββ | 224M/1.74G [00:07<00:38, 39.0MB/s]
pytorch_model.bin: 14%|ββ | 240M/1.74G [00:07<00:36, 41.4MB/s]
pytorch_model.bin: 15%|ββ | 256M/1.74G [00:07<00:33, 44.4MB/s]
pytorch_model.bin: 16%|ββ | 272M/1.74G [00:08<00:31, 47.2MB/s]
pytorch_model.bin: 17%|ββ | 288M/1.74G [00:08<00:30, 47.7MB/s]
pytorch_model.bin: 18%|ββ | 304M/1.74G [00:08<00:29, 48.0MB/s]
pytorch_model.bin: 18%|ββ | 320M/1.74G [00:09<00:29, 47.6MB/s]
pytorch_model.bin: 19%|ββ | 336M/1.74G [00:09<00:29, 47.8MB/s]
pytorch_model.bin: 20%|ββ | 352M/1.74G [00:09<00:29, 46.7MB/s]
pytorch_model.bin: 21%|ββ | 368M/1.74G [00:10<00:29, 46.0MB/s]
pytorch_model.bin: 22%|βββ | 384M/1.74G [00:10<00:29, 46.5MB/s]
pytorch_model.bin: 23%|βββ | 400M/1.74G [00:10<00:28, 47.6MB/s]
pytorch_model.bin: 24%|βββ | 416M/1.74G [00:11<00:28, 46.9MB/s]
pytorch_model.bin: 25%|βββ | 432M/1.74G [00:11<00:26, 48.7MB/s]
pytorch_model.bin: 26%|βββ | 448M/1.74G [00:11<00:27, 47.6MB/s]
pytorch_model.bin: 27%|βββ | 464M/1.74G [00:12<00:25, 49.0MB/s]
pytorch_model.bin: 28%|βββ | 480M/1.74G [00:12<00:24, 51.9MB/s]
pytorch_model.bin: 29%|βββ | 496M/1.74G [00:12<00:23, 51.8MB/s]
pytorch_model.bin: 29%|βββ | 512M/1.74G [00:12<00:23, 51.5MB/s]
pytorch_model.bin: 30%|βββ | 528M/1.74G [00:13<00:24, 50.0MB/s]
pytorch_model.bin: 31%|ββββ | 544M/1.74G [00:13<00:23, 51.8MB/s]
pytorch_model.bin: 32%|ββββ | 560M/1.74G [00:13<00:22, 52.7MB/s]
pytorch_model.bin: 33%|ββββ | 576M/1.74G [00:14<00:27, 42.8MB/s]
pytorch_model.bin: 34%|ββββ | 592M/1.74G [00:14<00:25, 45.5MB/s]
pytorch_model.bin: 35%|ββββ | 608M/1.74G [00:15<00:25, 45.1MB/s]
pytorch_model.bin: 36%|ββββ | 624M/1.74G [00:15<00:25, 43.7MB/s]
pytorch_model.bin: 37%|ββββ | 640M/1.74G [00:15<00:24, 45.1MB/s]
pytorch_model.bin: 38%|ββββ | 656M/1.74G [00:16<00:22, 47.2MB/s]
pytorch_model.bin: 39%|ββββ | 672M/1.74G [00:16<00:22, 48.2MB/s]
pytorch_model.bin: 40%|ββββ | 688M/1.74G [00:16<00:22, 46.9MB/s]
pytorch_model.bin: 41%|ββββ | 704M/1.74G [00:17<00:21, 48.8MB/s]
pytorch_model.bin: 41%|βββββ | 720M/1.74G [00:17<00:20, 50.3MB/s]
pytorch_model.bin: 42%|βββββ | 736M/1.74G [00:17<00:18, 52.8MB/s]
pytorch_model.bin: 43%|βββββ | 752M/1.74G [00:17<00:18, 53.0MB/s]
pytorch_model.bin: 44%|βββββ | 768M/1.74G [00:18<00:18, 53.2MB/s]
pytorch_model.bin: 45%|βββββ | 784M/1.74G [00:18<00:17, 53.7MB/s]
pytorch_model.bin: 46%|βββββ | 800M/1.74G [00:19<00:20, 45.3MB/s]
pytorch_model.bin: 47%|βββββ | 816M/1.74G [00:19<00:20, 45.3MB/s]
pytorch_model.bin: 48%|βββββ | 832M/1.74G [00:19<00:19, 46.9MB/s]
pytorch_model.bin: 49%|βββββ | 848M/1.74G [00:20<00:19, 46.5MB/s]
pytorch_model.bin: 50%|βββββ | 864M/1.74G [00:20<00:18, 48.5MB/s]
pytorch_model.bin: 51%|βββββ | 880M/1.74G [00:20<00:17, 48.4MB/s]
pytorch_model.bin: 52%|ββββββ | 896M/1.74G [00:21<00:19, 43.4MB/s]
pytorch_model.bin: 53%|ββββββ | 912M/1.74G [00:21<00:18, 44.6MB/s]
pytorch_model.bin: 53%|ββββββ | 928M/1.74G [00:21<00:17, 46.4MB/s]
pytorch_model.bin: 54%|ββββββ | 940M/1.74G [00:22<00:18, 42.0MB/s]
pytorch_model.bin: 54%|ββββββ | 944M/1.74G [00:22<00:19, 41.5MB/s]
pytorch_model.bin: 55%|ββββββ | 948M/1.74G [00:22<00:28, 28.1MB/s]
pytorch_model.bin: 55%|ββββββ | 960M/1.74G [00:22<00:23, 32.5MB/s]
pytorch_model.bin: 56%|ββββββ | 976M/1.74G [00:23<00:20, 38.0MB/s]
pytorch_model.bin: 57%|ββββββ | 992M/1.74G [00:23<00:19, 38.7MB/s]
pytorch_model.bin: 58%|ββββββ | 1.01G/1.74G [00:23<00:16, 43.0MB/s]
pytorch_model.bin: 59%|ββββββ | 1.02G/1.74G [00:24<00:17, 40.8MB/s]
pytorch_model.bin: 60%|ββββββ | 1.04G/1.74G [00:24<00:15, 43.6MB/s]
pytorch_model.bin: 61%|ββββββ | 1.06G/1.74G [00:25<00:15, 44.2MB/s]
pytorch_model.bin: 62%|βββββββ | 1.07G/1.74G [00:25<00:14, 45.4MB/s]
pytorch_model.bin: 63%|βββββββ | 1.09G/1.74G [00:25<00:13, 47.0MB/s]
pytorch_model.bin: 64%|βββββββ | 1.10G/1.74G [00:25<00:12, 49.5MB/s]
pytorch_model.bin: 64%|βββββββ | 1.12G/1.74G [00:26<00:12, 47.8MB/s]
pytorch_model.bin: 65%|βββββββ | 1.14G/1.74G [00:26<00:12, 49.3MB/s]
pytorch_model.bin: 66%|βββββββ | 1.15G/1.74G [00:26<00:11, 51.7MB/s]
pytorch_model.bin: 67%|βββββββ | 1.17G/1.74G [00:27<00:11, 51.4MB/s]
pytorch_model.bin: 68%|βββββββ | 1.18G/1.74G [00:27<00:10, 51.1MB/s]
pytorch_model.bin: 69%|βββββββ | 1.20G/1.74G [00:27<00:10, 49.2MB/s]
pytorch_model.bin: 70%|βββββββ | 1.22G/1.74G [00:28<00:10, 50.5MB/s]
pytorch_model.bin: 71%|βββββββ | 1.23G/1.74G [00:28<00:10, 47.2MB/s]
pytorch_model.bin: 72%|ββββββββ | 1.25G/1.74G [00:28<00:10, 46.7MB/s]
pytorch_model.bin: 73%|ββββββββ | 1.26G/1.74G [00:29<00:09, 49.1MB/s]
pytorch_model.bin: 74%|ββββββββ | 1.28G/1.74G [00:29<00:09, 50.3MB/s]
pytorch_model.bin: 74%|ββββββββ | 1.29G/1.74G [00:29<00:09, 46.0MB/s]
pytorch_model.bin: 75%|ββββββββ | 1.30G/1.74G [00:29<00:10, 44.0MB/s]
pytorch_model.bin: 75%|ββββββββ | 1.30G/1.74G [00:30<00:14, 31.0MB/s]
pytorch_model.bin: 76%|ββββββββ | 1.31G/1.74G [00:30<00:13, 31.3MB/s]
pytorch_model.bin: 76%|ββββββββ | 1.33G/1.74G [00:31<00:11, 36.2MB/s]
pytorch_model.bin: 77%|ββββββββ | 1.34G/1.74G [00:31<00:09, 40.9MB/s]
pytorch_model.bin: 78%|ββββββββ | 1.36G/1.74G [00:31<00:09, 40.4MB/s]
pytorch_model.bin: 79%|ββββββββ | 1.38G/1.74G [00:32<00:08, 44.1MB/s]
pytorch_model.bin: 80%|ββββββββ | 1.39G/1.74G [00:32<00:07, 46.2MB/s]
pytorch_model.bin: 81%|ββββββββ | 1.41G/1.74G [00:32<00:06, 47.8MB/s]
pytorch_model.bin: 82%|βββββββββ | 1.42G/1.74G [00:33<00:06, 47.6MB/s]
pytorch_model.bin: 83%|βββββββββ | 1.44G/1.74G [00:33<00:06, 46.5MB/s]
pytorch_model.bin: 84%|βββββββββ | 1.46G/1.74G [00:33<00:05, 47.2MB/s]
pytorch_model.bin: 85%|βββββββββ | 1.47G/1.74G [00:34<00:05, 49.0MB/s]
pytorch_model.bin: 86%|βββββββββ | 1.49G/1.74G [00:34<00:05, 48.1MB/s]
pytorch_model.bin: 87%|βββββββββ | 1.50G/1.74G [00:34<00:04, 47.9MB/s]
pytorch_model.bin: 88%|βββββββββ | 1.52G/1.74G [00:35<00:04, 49.5MB/s]
pytorch_model.bin: 88%|βββββββββ | 1.54G/1.74G [00:35<00:03, 50.3MB/s]
pytorch_model.bin: 89%|βββββββββ | 1.55G/1.74G [00:35<00:03, 48.1MB/s]
pytorch_model.bin: 90%|βββββββββ | 1.57G/1.74G [00:36<00:03, 45.1MB/s]
pytorch_model.bin: 91%|βββββββββ | 1.58G/1.74G [00:36<00:03, 46.9MB/s]
pytorch_model.bin: 92%|ββββββββββ| 1.60G/1.74G [00:36<00:02, 46.7MB/s]
pytorch_model.bin: 93%|ββββββββββ| 1.62G/1.74G [00:37<00:02, 47.6MB/s]
pytorch_model.bin: 94%|ββββββββββ| 1.63G/1.74G [00:37<00:02, 45.4MB/s]
pytorch_model.bin: 95%|ββββββββββ| 1.65G/1.74G [00:37<00:01, 44.5MB/s]
pytorch_model.bin: 96%|ββββββββββ| 1.66G/1.74G [00:38<00:01, 45.9MB/s]
pytorch_model.bin: 97%|ββββββββββ| 1.68G/1.74G [00:38<00:01, 46.6MB/s]
pytorch_model.bin: 98%|ββββββββββ| 1.70G/1.74G [00:38<00:00, 47.2MB/s]
pytorch_model.bin: 99%|ββββββββββ| 1.71G/1.74G [00:39<00:00, 48.6MB/s]
pytorch_model.bin: 99%|ββββββββββ| 1.73G/1.74G [00:39<00:00, 48.7MB/s]
pytorch_model.bin: 100%|ββββββββββ| 1.74G/1.74G [00:39<00:00, 43.7MB/s] |
| [upload-folder] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/singleview_eval_checkpoint_epoch_0034 -> experiments/realhumans_h3d_diffusion_span360/eval/singleview_eval_checkpoint_epoch_0034 |
|
gs.ply: 0%| | 0.00/1.36M [00:00<?, ?B/s] |
|
gs.ply: 0%| | 0.00/1.41M [00:00<?, ?B/s][A |
|
|
|
mvrendering_3dgs.png: 0%| | 0.00/1.29M [00:00<?, ?B/s][A[A |
|
|
|
|
|
mvrendering_3dgs.png: 0%| | 0.00/1.17M [00:00<?, ?B/s][A[A[A |
|
|
|
|
|
|
|
Upload 8 LFS files: 0%| | 0/8 [00:00<?, ?it/s][A[A[A[A |
|
|
|
|
|
|
|
|
|
gs.ply: 0%| | 0.00/1.36M [00:00<?, ?B/s][A[A[A[A[A |
|
gs.ply: 1%| | 16.4k/1.41M [00:00<00:11, 124kB/s][A |
|
|
|
|
|
|
|
|
|
gs.ply: 1%| | 16.4k/1.36M [00:00<00:10, 123kB/s][A[A[A[A[A |
|
|
|
mvrendering_3dgs.png: 1%|β | 16.4k/1.29M [00:00<00:11, 113kB/s][A[A
gs.ply: 1%| | 16.4k/1.36M [00:00<00:12, 109kB/s] |
|
|
|
|
|
mvrendering_3dgs.png: 1%|β | 16.4k/1.17M [00:00<00:10, 110kB/s][A[A[A
mvrendering_3dgs.png: 100%|ββββββββββ| 1.17M/1.17M [00:00<00:00, 2.97MB/s] |
|
gs.ply: 100%|ββββββββββ| 1.36M/1.36M [00:00<00:00, 3.06MB/s] |
|
gs.ply: 100%|ββββββββββ| 1.36M/1.36M [00:00<00:00, 2.68MB/s] |
|
mvrendering_3dgs.png: 100%|ββββββββββ| 1.29M/1.29M [00:00<00:00, 2.44MB/s] |
|
gs.ply: 100%|ββββββββββ| 1.41M/1.41M [00:00<00:00, 2.42MB/s] |
|
mvrendering_3dgs.png: 0%| | 0.00/1.14M [00:00<?, ?B/s] |
|
gs.ply: 0%| | 0.00/1.38M [00:00<?, ?B/s][A |
|
|
|
mvrendering_3dgs.png: 0%| | 0.00/1.22M [00:00<?, ?B/s][A[A |
|
|
|
|
|
|
|
Upload 8 LFS files: 12%|ββ | 1/8 [00:00<00:05, 1.35it/s][A[A[A[A
gs.ply: 100%|ββββββββββ| 1.38M/1.38M [00:00<00:00, 4.49MB/s] |
|
mvrendering_3dgs.png: 100%|ββββββββββ| 1.22M/1.22M [00:00<00:00, 2.82MB/s] |
|
mvrendering_3dgs.png: 100%|ββββββββββ| 1.14M/1.14M [00:00<00:00, 1.79MB/s] |
|
|
|
|
|
|
|
|
|
Upload 8 LFS files: 75%|ββββββββ | 6/8 [00:01<00:00, 4.70it/s][A[A[A[A
Upload 8 LFS files: 100%|ββββββββββ| 8/8 [00:01<00:00, 5.58it/s] |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/loss.tsv -> experiments/realhumans_h3d_diffusion_span360/logs/loss.tsv |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/eval_monitor.log -> experiments/realhumans_h3d_diffusion_span360/logs/eval_monitor.log |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/train_realhumans_h3d_diffusion_span360.log -> experiments/realhumans_h3d_diffusion_span360/logs/train_realhumans_h3d_diffusion_span360.log |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/eval_monitor.log -> experiments/realhumans_h3d_diffusion_span360/logs/eval_monitor.log |
| [2026-07-20 18:20:38] eval done checkpoint_epoch_0034 |
| [2026-07-20 18:48:05] eval start checkpoint_epoch_0039 |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/envs/human3diffusion_cuda13/lib/python3.10/site-packages/transformers/utils/generic.py:311: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. |
| torch.utils._pytree._register_pytree_node( |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/envs/human3diffusion_cuda13/lib/python3.10/site-packages/transformers/utils/generic.py:311: FutureWarning: `torch.utils._pytree._register_pytree_node` is deprecated. Please use `torch.utils._pytree.register_pytree_node` instead. |
| torch.utils._pytree._register_pytree_node( |
| WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: |
| PyTorch 2.10.0+cu128 with CUDA 1208 (you have 2.13.0+cu130) |
| Python 3.10.19 (you have 3.10.16) |
| Please reinstall xformers (see https://github.com/facebookresearch/xformers |
| Memory-efficient attention, SwiGLU, sparse and more won't be available. |
| Set XFORMERS_MORE_DETAILS=1 for more details |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/core/attention.py:25: UserWarning: xFormers is disabled (Attention) |
| warnings.warn("xFormers is disabled (Attention)") |
| /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/core/attention.py:29: UserWarning: xFormers is not available (Attention) |
| warnings.warn("xFormers is not available (Attention)") |
| |
| |
| Infer 4 images |
| Number of samples: 4 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_00 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_02 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_01 |
| Infer RGBA, not using rembg |
| load context image, done remove background, recentered, make white background |
| Processing wild - test_03 |
| [upload-folder] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/code_snapshot -> experiments/realhumans_h3d_diffusion_span360/code_snapshot |
| [upload] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/checkpoint_epoch_0039/pytorch_model.bin -> experiments/realhumans_h3d_diffusion_span360/checkpoints/checkpoint_epoch_0039/pytorch_model.bin |
|
pytorch_model.bin: 0%| | 0.00/1.74G [00:00<?, ?B/s]
pytorch_model.bin: 0%| | 4.51M/1.74G [00:00<00:38, 45.1MB/s]
pytorch_model.bin: 1%| | 16.0M/1.74G [00:00<00:58, 29.6MB/s]
pytorch_model.bin: 2%|β | 27.8M/1.74G [00:00<00:46, 36.7MB/s]
pytorch_model.bin: 2%|β | 31.8M/1.74G [00:00<00:46, 36.7MB/s]
pytorch_model.bin: 2%|β | 35.6M/1.74G [00:01<01:09, 24.4MB/s]
pytorch_model.bin: 3%|β | 43.6M/1.74G [00:01<01:01, 27.7MB/s]
pytorch_model.bin: 3%|β | 47.4M/1.74G [00:01<00:58, 29.0MB/s]
pytorch_model.bin: 3%|β | 50.6M/1.74G [00:01<01:29, 18.8MB/s]
pytorch_model.bin: 3%|β | 59.8M/1.74G [00:02<01:04, 26.0MB/s]
pytorch_model.bin: 4%|β | 63.5M/1.74G [00:02<01:00, 27.6MB/s]
pytorch_model.bin: 4%|β | 66.8M/1.74G [00:02<01:23, 20.0MB/s]
pytorch_model.bin: 4%|β | 75.3M/1.74G [00:02<01:02, 26.8MB/s]
pytorch_model.bin: 5%|β | 79.3M/1.74G [00:02<00:58, 28.5MB/s]
pytorch_model.bin: 5%|β | 82.7M/1.74G [00:03<01:28, 18.8MB/s]
pytorch_model.bin: 6%|β | 96.0M/1.74G [00:03<01:04, 25.5MB/s]
pytorch_model.bin: 6%|β | 112M/1.74G [00:04<00:49, 32.7MB/s]
pytorch_model.bin: 7%|β | 125M/1.74G [00:04<00:39, 40.8MB/s]
pytorch_model.bin: 7%|β | 129M/1.74G [00:04<00:54, 29.5MB/s]
pytorch_model.bin: 8%|β | 140M/1.74G [00:04<00:53, 29.9MB/s]
pytorch_model.bin: 8%|β | 143M/1.74G [00:05<00:52, 30.5MB/s]
pytorch_model.bin: 8%|β | 147M/1.74G [00:05<01:09, 23.0MB/s]
pytorch_model.bin: 9%|β | 156M/1.74G [00:05<01:00, 26.1MB/s]
pytorch_model.bin: 9%|β | 159M/1.74G [00:05<00:58, 27.2MB/s]
pytorch_model.bin: 9%|β | 162M/1.74G [00:06<01:21, 19.4MB/s]
pytorch_model.bin: 10%|β | 176M/1.74G [00:06<00:57, 26.9MB/s]
pytorch_model.bin: 11%|β | 188M/1.74G [00:06<00:50, 30.8MB/s]
pytorch_model.bin: 11%|β | 191M/1.74G [00:06<00:48, 31.8MB/s]
pytorch_model.bin: 11%|β | 195M/1.74G [00:07<01:08, 22.7MB/s]
pytorch_model.bin: 12%|ββ | 208M/1.74G [00:07<00:53, 28.8MB/s]
pytorch_model.bin: 13%|ββ | 218M/1.74G [00:07<00:40, 37.4MB/s]
pytorch_model.bin: 13%|ββ | 223M/1.74G [00:07<00:44, 34.2MB/s]
pytorch_model.bin: 13%|ββ | 227M/1.74G [00:08<01:01, 24.4MB/s]
pytorch_model.bin: 14%|ββ | 236M/1.74G [00:08<00:56, 26.5MB/s]
pytorch_model.bin: 14%|ββ | 239M/1.74G [00:08<00:54, 27.4MB/s]
pytorch_model.bin: 14%|ββ | 243M/1.74G [00:08<01:13, 20.2MB/s]
pytorch_model.bin: 15%|ββ | 256M/1.74G [00:09<00:52, 28.2MB/s]
pytorch_model.bin: 16%|ββ | 272M/1.74G [00:09<00:41, 35.6MB/s]
pytorch_model.bin: 17%|ββ | 288M/1.74G [00:09<00:35, 40.6MB/s]
pytorch_model.bin: 18%|ββ | 304M/1.74G [00:10<00:32, 43.6MB/s]
pytorch_model.bin: 18%|ββ | 320M/1.74G [00:10<00:29, 47.8MB/s]
pytorch_model.bin: 19%|ββ | 336M/1.74G [00:10<00:29, 47.1MB/s]
pytorch_model.bin: 20%|ββ | 352M/1.74G [00:11<00:29, 47.5MB/s]
pytorch_model.bin: 21%|ββ | 368M/1.74G [00:11<00:28, 47.3MB/s]
pytorch_model.bin: 22%|βββ | 384M/1.74G [00:11<00:27, 48.4MB/s]
pytorch_model.bin: 23%|βββ | 400M/1.74G [00:12<00:26, 50.7MB/s]
pytorch_model.bin: 24%|βββ | 416M/1.74G [00:12<00:26, 50.7MB/s]
pytorch_model.bin: 25%|βββ | 432M/1.74G [00:12<00:26, 49.7MB/s]
pytorch_model.bin: 26%|βββ | 448M/1.74G [00:13<00:24, 51.9MB/s]
pytorch_model.bin: 27%|βββ | 464M/1.74G [00:13<00:24, 52.3MB/s]
pytorch_model.bin: 28%|βββ | 480M/1.74G [00:13<00:24, 52.0MB/s]
pytorch_model.bin: 29%|βββ | 496M/1.74G [00:13<00:23, 51.9MB/s]
pytorch_model.bin: 29%|βββ | 512M/1.74G [00:14<00:23, 51.1MB/s]
pytorch_model.bin: 30%|βββ | 528M/1.74G [00:14<00:23, 51.4MB/s]
pytorch_model.bin: 31%|ββββ | 544M/1.74G [00:14<00:23, 50.3MB/s]
pytorch_model.bin: 32%|ββββ | 560M/1.74G [00:15<00:22, 51.3MB/s]
pytorch_model.bin: 33%|ββββ | 576M/1.74G [00:15<00:26, 44.4MB/s]
pytorch_model.bin: 34%|ββββ | 592M/1.74G [00:15<00:24, 46.4MB/s]
pytorch_model.bin: 35%|ββββ | 608M/1.74G [00:16<00:23, 47.8MB/s]
pytorch_model.bin: 36%|ββββ | 624M/1.74G [00:16<00:21, 51.0MB/s]
pytorch_model.bin: 37%|ββββ | 640M/1.74G [00:16<00:20, 52.3MB/s]
pytorch_model.bin: 38%|ββββ | 656M/1.74G [00:17<00:21, 51.0MB/s]
pytorch_model.bin: 39%|ββββ | 672M/1.74G [00:17<00:20, 52.0MB/s]
pytorch_model.bin: 40%|ββββ | 688M/1.74G [00:17<00:20, 52.2MB/s]
pytorch_model.bin: 41%|ββββ | 704M/1.74G [00:18<00:19, 53.2MB/s]
pytorch_model.bin: 41%|βββββ | 720M/1.74G [00:18<00:22, 44.9MB/s]
pytorch_model.bin: 42%|βββββ | 736M/1.74G [00:18<00:21, 46.9MB/s]
pytorch_model.bin: 43%|βββββ | 752M/1.74G [00:19<00:20, 47.3MB/s]
pytorch_model.bin: 44%|βββββ | 768M/1.74G [00:19<00:20, 46.8MB/s]
pytorch_model.bin: 45%|βββββ | 784M/1.74G [00:19<00:20, 47.4MB/s]
pytorch_model.bin: 46%|βββββ | 800M/1.74G [00:20<00:19, 48.8MB/s]
pytorch_model.bin: 47%|βββββ | 816M/1.74G [00:20<00:20, 45.6MB/s]
pytorch_model.bin: 48%|βββββ | 832M/1.74G [00:20<00:18, 48.6MB/s]
pytorch_model.bin: 49%|βββββ | 848M/1.74G [00:21<00:18, 48.2MB/s]
pytorch_model.bin: 50%|βββββ | 864M/1.74G [00:21<00:17, 49.6MB/s]
pytorch_model.bin: 51%|βββββ | 880M/1.74G [00:21<00:17, 48.4MB/s]
pytorch_model.bin: 52%|ββββββ | 896M/1.74G [00:22<00:16, 51.0MB/s]
pytorch_model.bin: 53%|ββββββ | 912M/1.74G [00:22<00:16, 49.7MB/s]
pytorch_model.bin: 53%|ββββββ | 928M/1.74G [00:22<00:15, 51.7MB/s]
pytorch_model.bin: 54%|ββββββ | 944M/1.74G [00:23<00:15, 50.8MB/s]
pytorch_model.bin: 55%|ββββββ | 960M/1.74G [00:23<00:15, 51.7MB/s]
pytorch_model.bin: 56%|ββββββ | 976M/1.74G [00:23<00:14, 52.8MB/s]
pytorch_model.bin: 57%|ββββββ | 992M/1.74G [00:23<00:14, 52.2MB/s]
pytorch_model.bin: 58%|ββββββ | 1.01G/1.74G [00:24<00:14, 50.7MB/s]
pytorch_model.bin: 59%|ββββββ | 1.02G/1.74G [00:24<00:14, 49.4MB/s]
pytorch_model.bin: 60%|ββββββ | 1.04G/1.74G [00:24<00:13, 51.2MB/s]
pytorch_model.bin: 61%|ββββββ | 1.06G/1.74G [00:25<00:13, 51.3MB/s]
pytorch_model.bin: 62%|βββββββ | 1.07G/1.74G [00:25<00:13, 51.0MB/s]
pytorch_model.bin: 63%|βββββββ | 1.09G/1.74G [00:25<00:12, 53.2MB/s]
pytorch_model.bin: 64%|βββββββ | 1.10G/1.74G [00:26<00:11, 53.6MB/s]
pytorch_model.bin: 64%|βββββββ | 1.12G/1.74G [00:26<00:11, 53.8MB/s]
pytorch_model.bin: 65%|βββββββ | 1.14G/1.74G [00:26<00:11, 54.5MB/s]
pytorch_model.bin: 66%|βββββββ | 1.15G/1.74G [00:27<00:11, 52.0MB/s]
pytorch_model.bin: 67%|βββββββ | 1.17G/1.74G [00:27<00:10, 52.0MB/s]
pytorch_model.bin: 68%|βββββββ | 1.18G/1.74G [00:27<00:10, 51.9MB/s]
pytorch_model.bin: 69%|βββββββ | 1.20G/1.74G [00:27<00:10, 51.5MB/s]
pytorch_model.bin: 70%|βββββββ | 1.22G/1.74G [00:28<00:10, 51.5MB/s]
pytorch_model.bin: 71%|βββββββ | 1.23G/1.74G [00:28<00:10, 49.5MB/s]
pytorch_model.bin: 72%|ββββββββ | 1.25G/1.74G [00:29<00:10, 47.1MB/s]
pytorch_model.bin: 73%|ββββββββ | 1.26G/1.74G [00:29<00:10, 47.2MB/s]
pytorch_model.bin: 74%|ββββββββ | 1.28G/1.74G [00:29<00:09, 46.5MB/s]
pytorch_model.bin: 75%|ββββββββ | 1.30G/1.74G [00:29<00:08, 49.1MB/s]
pytorch_model.bin: 76%|ββββββββ | 1.31G/1.74G [00:30<00:08, 50.5MB/s]
pytorch_model.bin: 76%|ββββββββ | 1.33G/1.74G [00:30<00:08, 51.1MB/s]
pytorch_model.bin: 77%|ββββββββ | 1.34G/1.74G [00:30<00:07, 51.3MB/s]
pytorch_model.bin: 78%|ββββββββ | 1.36G/1.74G [00:31<00:07, 49.5MB/s]
pytorch_model.bin: 79%|ββββββββ | 1.38G/1.74G [00:31<00:07, 51.1MB/s]
pytorch_model.bin: 80%|ββββββββ | 1.39G/1.74G [00:31<00:06, 51.2MB/s]
pytorch_model.bin: 81%|ββββββββ | 1.41G/1.74G [00:32<00:06, 49.4MB/s]
pytorch_model.bin: 82%|βββββββββ | 1.42G/1.74G [00:32<00:06, 44.8MB/s]
pytorch_model.bin: 83%|βββββββββ | 1.44G/1.74G [00:32<00:06, 47.8MB/s]
pytorch_model.bin: 84%|βββββββββ | 1.46G/1.74G [00:33<00:05, 49.1MB/s]
pytorch_model.bin: 85%|βββββββββ | 1.47G/1.74G [00:33<00:05, 48.0MB/s]
pytorch_model.bin: 86%|βββββββββ | 1.49G/1.74G [00:33<00:05, 48.8MB/s]
pytorch_model.bin: 87%|βββββββββ | 1.50G/1.74G [00:34<00:04, 47.2MB/s]
pytorch_model.bin: 88%|βββββββββ | 1.52G/1.74G [00:34<00:04, 47.1MB/s]
pytorch_model.bin: 88%|βββββββββ | 1.54G/1.74G [00:34<00:04, 49.5MB/s]
pytorch_model.bin: 89%|βββββββββ | 1.55G/1.74G [00:35<00:03, 50.7MB/s]
pytorch_model.bin: 90%|βββββββββ | 1.57G/1.74G [00:35<00:03, 51.8MB/s]
pytorch_model.bin: 91%|βββββββββ | 1.58G/1.74G [00:35<00:02, 52.5MB/s]
pytorch_model.bin: 92%|ββββββββββ| 1.60G/1.74G [00:36<00:02, 51.5MB/s]
pytorch_model.bin: 93%|ββββββββββ| 1.62G/1.74G [00:36<00:02, 51.5MB/s]
pytorch_model.bin: 94%|ββββββββββ| 1.63G/1.74G [00:36<00:01, 53.0MB/s]
pytorch_model.bin: 95%|ββββββββββ| 1.65G/1.74G [00:37<00:01, 50.9MB/s]
pytorch_model.bin: 96%|ββββββββββ| 1.66G/1.74G [00:37<00:01, 51.0MB/s]
pytorch_model.bin: 97%|ββββββββββ| 1.68G/1.74G [00:37<00:01, 50.2MB/s]
pytorch_model.bin: 98%|ββββββββββ| 1.70G/1.74G [00:38<00:00, 45.8MB/s]
pytorch_model.bin: 99%|ββββββββββ| 1.71G/1.74G [00:38<00:00, 48.3MB/s]
pytorch_model.bin: 99%|ββββββββββ| 1.73G/1.74G [00:38<00:00, 50.9MB/s]
pytorch_model.bin: 100%|ββββββββββ| 1.74G/1.74G [00:38<00:00, 44.7MB/s] |
| [upload-folder] /mnt/localssd/colligo/contrib/Mori/collections/foundation_exploration/configs/genrender6/pixel_diffusion/lx_human/Human3Diffusion/workspace/realhumans_h3d_diffusion_span360/singleview_eval_checkpoint_epoch_0039 -> experiments/realhumans_h3d_diffusion_span360/eval/singleview_eval_checkpoint_epoch_0039 |
|
gs.ply: 0%| | 0.00/1.37M [00:00<?, ?B/s] |
|
mvrendering_3dgs.png: 0%| | 0.00/1.30M [00:00<?, ?B/s][A |
|
|
|
gs.ply: 0%| | 0.00/1.41M [00:00<?, ?B/s][A[A |
|
|
|
|
|
mvrendering_3dgs.png: 0%| | 0.00/1.18M [00:00<?, ?B/s][A[A[A |
|
|
|
|
|
|
|
Upload 8 LFS files: 0%| | 0/8 [00:00<?, ?it/s][A[A[A[A |
|
|
|
|
|
|
|
|
|
gs.ply: 0%| | 0.00/1.37M [00:00<?, ?B/s][A[A[A[A[A |
|
mvrendering_3dgs.png: 1%|β | 16.4k/1.30M [00:00<00:11, 111kB/s][A |
|
|
|
gs.ply: 1%| | 16.4k/1.41M [00:00<00:12, 110kB/s][A[A |
|
|
|
|
|
|
|
|
|
gs.ply: 1%| | 16.4k/1.37M [00:00<00:12, 110kB/s][A[A[A[A[A |
|
|
|
|
|
mvrendering_3dgs.png: 1%|β | 16.4k/1.18M [00:00<00:10, 107kB/s][A[A[A
gs.ply: 1%| | 16.4k/1.37M [00:00<00:13, 104kB/s]
mvrendering_3dgs.png: 100%|ββββββββββ| 1.30M/1.30M [00:00<00:00, 3.85MB/s] |
|
gs.ply: 100%|ββββββββββ| 1.37M/1.37M [00:00<00:00, 3.12MB/s] |
|
|
|
mvrendering_3dgs.png: 0%| | 0.00/1.14M [00:00<?, ?B/s][A |
|
|
|
|
|
|
|
|
|
gs.ply: 0%| | 0.00/1.37M [00:00<?, ?B/s][A[A[A[A[A
gs.ply: 100%|ββββββββββ| 1.37M/1.37M [00:00<00:00, 2.08MB/s] |
|
gs.ply: 100%|ββββββββββ| 1.41M/1.41M [00:00<00:00, 2.07MB/s] |
|
mvrendering_3dgs.png: 100%|ββββββββββ| 1.18M/1.18M [00:00<00:00, 1.72MB/s] |
|
|
|
|
|
|
|
|
|
Upload 8 LFS files: 12%|ββ | 1/8 [00:00<00:05, 1.23it/s][A[A[A[A
mvrendering_3dgs.png: 0%| | 0.00/1.22M [00:00<?, ?B/s]
mvrendering_3dgs.png: 100%|ββββββββββ| 1.14M/1.14M [00:00<00:00, 2.70MB/s] |
|
gs.ply: 100%|ββββββββββ| 1.37M/1.37M [00:00<00:00, 3.82MB/s] |
|
|
|
|
|
|
|
|
|
Upload 8 LFS files: 75%|ββββββββ | 6/8 [00:01<00:00, 6.92it/s][A[A[A[A
mvrendering_3dgs.png: 100%|ββββββββββ| 1.22M/1.22M [00:00<00:00, 3.18MB/s] |
|
|
|
|
|
|
|
|
|
Upload 8 LFS files: 100%|ββββββββββ| 8/8 [00:01<00:00, 7.16it/s][A[A[A[A
Upload 8 LFS files: 100%|ββββββββββ| 8/8 [00:01<00:00, 6.02it/s] |
|
|