Buckets:
| { | |
| "num_frames": 16, | |
| "height": 512, | |
| "width": 768, | |
| "dit_steps_s0.5_densified10": 10, | |
| "build_s": 45.89, | |
| "vram_after_build_gb": 0.0, | |
| "render1_error": "Traceback (most recent call last):\n File \"/tmp/scripts/opt/profile_edit.py\", line 173, in main\n out = pipe(**kw)\n ^^^^^^^^^^\n File \"/tmp/app/app.py\", line 662, in __call__\n video_state, audio_state = self.stage_1(\n ^^^^^^^^^^^^^\n File \"/tmp/scripts/opt/profile_edit.py\", line 31, in __call__\n r = self._orig(*a, **k)\n ^^^^^^^^^^^^^^^^^^^\n File \"/data/vendored/packages/ltx-pipelines/src/ltx_pipelines/utils/blocks.py\", line 585, in __call__\n video_state = _build_state(video, video_tools, noiser, self._dtype, self._device)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/data/vendored/packages/ltx-pipelines/src/ltx_pipelines/utils/blocks.py\", line 226, in _build_state\n state = create_noised_state(\n ^^^^^^^^^^^^^^^^^^^^\n File \"/data/vendored/packages/ltx-pipelines/src/ltx_pipelines/utils/helpers.py\", line 477, in create_noised_state\n state = tools.create_initial_state(device, dtype, initial_latent)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/data/vendored/packages/ltx-core/src/ltx_core/tools.py\", line 146, in create_initial_state\n assert initial_latent.shape == self.target_shape.to_torch_shape(), (\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Latent shape torch.Size([1, 128, 16, 8, 12]) does not match target shape torch.Size([1, 128, 2, 8, 12])\n", | |
| "render1_components": { | |
| "prompt_encode": { | |
| "calls": 1, | |
| "total_s": 72.499, | |
| "mean_s": 72.4985, | |
| "pct": 100.0 | |
| } | |
| }, | |
| "vram_render1_gb": 75.0 | |
| } |
Xet Storage Details
- Size:
- 1.84 kB
- Xet hash:
- 67db9f62eb95481fad8c1377f827f8f4c4d4a90e875ccbd5c42e80149b02183f
·
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