{
  "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
}