500 lines
44 KiB
Plaintext
500 lines
44 KiB
Plaintext
[00:00] Crash dump logging enabled: C:\logs\DepthAnythingV3-1443\dev\windows-portable-gpu\crash_dump.log
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[00:00]
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[00:00] [1/5] SYNTAX
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[00:00] ----------------------------------------
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[00:00]
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[DEBUG] server=None, server_url=None, api=None
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[00:00] Found pyproject.toml (modern format)
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[00:00] Found requirements.txt (legacy format)
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[00:00] Unicode check: OK (all characters cp1252-safe)
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[00:00] Forbidden patterns check: OK
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[00:00] [SYNTAX] PASSED
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[00:00]
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[00:00] [2/5] INSTALL
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[00:00] ----------------------------------------
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[00:00]
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[DEBUG] server=None, server_url=None, api=None
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[00:00]
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Setting up ComfyUI...
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[00:00] Fetching latest release version...
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[00:00] Latest version: v0.21.0
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[00:00] Downloading portable ComfyUI from https://github.com/comfyanonymous/ComfyUI/releases/download/v0.21.0/ComfyUI_windows_portable_nvidia.7z...
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[00:04] Downloaded: 10%
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[00:08] Downloaded: 20%
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[00:12] Downloaded: 30%
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[00:15] Downloaded: 40%
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[00:18] Downloaded: 50%
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[00:22] Downloaded: 60%
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[00:26] Downloaded: 70%
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[00:29] Downloaded: 80%
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[00:33] Downloaded: 90%
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[00:37] Downloaded: 100%
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[00:37] Downloaded to C:\Users\ContainerAdministrator\.comfy-test\cache\portable\ComfyUI_portable_v0.21.0.7z
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[00:37] Extracting to cache: C:\Users\ContainerAdministrator\.comfy-test\cache\portable\ComfyUI_portable_v0.21.0
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[00:37] Extracting ComfyUI_portable_v0.21.0.7z...
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[00:37] Using 7z: C:\Program Files\7-Zip\7z.exe
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[02:09] Extracted to C:\Users\ContainerAdministrator\.comfy-test\cache\portable\ComfyUI_portable_v0.21.0
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[02:09] Copying from cache to: C:\workspaces\DepthAnythingV3-1443\portable-comfyui
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[02:25] Installing uv into embedded Python...
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[02:25] Running: C:\workspaces\DepthAnythingV3-1443\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install uv
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[02:31] Installing ComfyUI requirements...
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[02:31] Running: C:\workspaces\DepthAnythingV3-1443\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m uv pip install -r C:\workspaces\DepthAnythingV3-1443\portable-comfyui\ComfyUI_windows_portable\ComfyUI\requirements.txt
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[02:32]
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Installing custom node...
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[02:32] Copying ComfyUI-DepthAnythingV3 to custom_nodes/...
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[02:32] Installing node requirements...
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[02:32] Running: C:\workspaces\DepthAnythingV3-1443\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install -r C:\workspaces\DepthAnythingV3-1443\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-DepthAnythingV3\requirements.txt
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[02:37]
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Running install.py...
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[02:37] Running: C:\workspaces\DepthAnythingV3-1443\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe C:\workspaces\DepthAnythingV3-1443\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-DepthAnythingV3\install.py
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[02:38] [comfy-env] Enabled Windows long path support
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[02:38]
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[02:38] Installing 3 node dependencies...
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[02:38] Cloning ComfyUI-VideoHelperSuite...
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[02:39] Installing requirements for ComfyUI-VideoHelperSuite...
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[02:41] Cloning ComfyUI-KJNodes...
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[02:43] Installing requirements for ComfyUI-KJNodes...
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[02:45] Cloning ComfyUI-GeometryPack...
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[02:50] Installing requirements for ComfyUI-GeometryPack...
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[02:51] Running install.py for ComfyUI-GeometryPack...
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[02:51] [comfy-env] Enabled Windows long path support
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[02:53] [comfy-env] _discover: scanning C:\workspaces\DepthAnythingV3-1443\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[02:53] [comfy-env] _discover: ComfyUI-DepthAnythingV3 -> depthanythingv3-nodes (custom_nodes\ComfyUI-DepthAnythingV3\nodes\comfy-env.toml)
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[02:53] [comfy-env] _discover: ComfyUI-GeometryPack -> geometrypack-nodes (custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml)
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[02:53] [comfy-env] _discover: ComfyUI-KJNodes: no comfy-env.toml found
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[02:53] [comfy-env] _discover: ComfyUI-VideoHelperSuite: no comfy-env.toml found
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[02:53] [comfy-env] Workspace: C:\Users\ContainerAdministrator\AppData\Local\Programs\comfy-env
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[02:53] [comfy-env] ComfyUI: C:\workspaces\DepthAnythingV3-1443\portable-comfyui\ComfyUI_windows_portable\ComfyUI
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[02:53] [comfy-env] Found 2 node config(s):
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[02:53] - depthanythingv3-nodes <- custom_nodes\ComfyUI-DepthAnythingV3\nodes\comfy-env.toml (python=host)
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[02:53] - geometrypack-nodes <- custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml (python=host)
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[02:54] [comfy-env] Bootstrap interpreter has python 3.13 + torch 2.11.0 (cu130). Looking for cuda-only wheels matching cu130/torch2.11/cp313.
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[03:20] [comfy-env] GPU: Detection: torch
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[03:20] Recommended: CUDA 13.0
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[03:20]
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[03:20] GPU 0: NVIDIA GeForce RTX 3060 (sm_86) [Ampere] 12287MB
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[03:20] [comfy-env] Comfyui feature -> torch 2.11.0 from https://download.pytorch.org/whl/cu130 (CUDA 13.0 via bootstrap torch)
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[03:20] [comfy-env] cuda-wheels: 3 package(s) need a matched (cuda, torch, python) combo: ['flash_attn', 'sageattention', 'cumesh']
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[03:20] [comfy-env] cuda-wheels tier 1 (bootstrap): probing cu13.0/torch2.11/cp313
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[03:20] [cuda-wheels] Looking up flash_attn: cu130 torch2.11 cp313 win_amd64
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[03:21] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:21] [cuda-wheels] Looking up sageattention: cu130 torch2.11 cp313 win_amd64
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[03:21] [cuda-wheels] Found: sageattention-2.2.0+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:21] [cuda-wheels] Looking up cumesh: cu130 torch2.11 cp313 win_amd64
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[03:21] [cuda-wheels] Found: cumesh-0.0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:21] [comfy-env] cuda-wheels combo: cu13.0/torch2.11 (bootstrap matches; per-node envs will pin to this)
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[03:21] [cuda-wheels] Looking up flash_attn: cu130 torch2.11 cp313 win_amd64
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[03:22] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:22] [cuda-wheels] Looking up sageattention: cu130 torch2.11 cp313 win_amd64
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[03:22] [cuda-wheels] Found: sageattention-2.2.0+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:22] [comfy-env] depthanythingv3-nodes: cuda-wheels deferred for post-pixi install (flash_attn, sageattention)
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[03:22] [cuda-wheels] Looking up cumesh: cu130 torch2.11 cp313 win_amd64
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[03:23] [cuda-wheels] Found: cumesh-0.0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:23] [comfy-env] geometrypack-nodes: cuda-wheels deferred for post-pixi install (cumesh)
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[03:23] Generated C:\Users\ContainerAdministrator\AppData\Local\Programs\comfy-env\pixi.toml
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[03:23] [comfy-env] Patched C:\Users\ContainerAdministrator\AppData\Roaming\uv\python\cpython-3.10-windows-x86_64-none\Lib\platform.py for conda-forge compat
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[03:23] [comfy-env] Patched C:\Users\ContainerAdministrator\AppData\Roaming\uv\python\cpython-3.10.20-windows-x86_64-none\Lib\platform.py for conda-forge compat
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[03:23] [comfy-env] Patched C:\Users\ContainerAdministrator\AppData\Roaming\uv\python\cpython-3.11-windows-x86_64-none\Lib\platform.py for conda-forge compat
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[03:23] [comfy-env] Patched C:\Users\ContainerAdministrator\AppData\Roaming\uv\python\cpython-3.11.15-windows-x86_64-none\Lib\platform.py for conda-forge compat
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[03:23] [comfy-env] Patched C:\Users\ContainerAdministrator\AppData\Roaming\uv\python\cpython-3.12-windows-x86_64-none\Lib\platform.py for conda-forge compat
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[03:23] [comfy-env] Patched C:\Users\ContainerAdministrator\AppData\Roaming\uv\python\cpython-3.12.13-windows-x86_64-none\Lib\platform.py for conda-forge compat
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[03:23] [comfy-env] Patched C:\Users\ContainerAdministrator\AppData\Roaming\uv\python\cpython-3.13-windows-x86_64-none\Lib\platform.py for conda-forge compat
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[03:23] [comfy-env] Patched C:\Users\ContainerAdministrator\AppData\Roaming\uv\python\cpython-3.13.13-windows-x86_64-none\Lib\platform.py for conda-forge compat
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[03:23] [comfy-env] Installing 2 environment(s):
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[03:23] - depthanythingv3-nodes (python=host, 11 pypi deps, 2 cuda wheels)
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[03:23] - geometrypack-nodes (python=host, 14 pypi deps, 1 cuda wheels)
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[03:23] [comfy-env] Running `pixi install -e depthanythingv3-nodes -e geometrypack-nodes`...
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[03:34] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[03:34] - Scripts/.librsvg-pre-unlink.bat
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[03:34] To enable them, run:
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[03:34] pixi config set --local run-post-link-scripts insecure
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[03:34] More info:
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[03:34] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[04:30] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[04:30] - Scripts/.librsvg-pre-unlink.bat
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[04:30] To enable them, run:
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[04:30] pixi config set --local run-post-link-scripts insecure
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[04:30] More info:
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[04:30] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[05:03] The following environments have been installed: depthanythingv3-nodes, geometrypack-nodes.
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[05:03] [comfy-env] depthanythingv3-nodes: installing cuda-wheels with --no-deps (flash_attn, sageattention)
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[05:03] Using Python 3.13.13 environment at: .pixi\envs\depthanythingv3-nodes
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[05:04] Resolved 2 packages in 1.51s
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[05:04] Downloading sageattention (35.4MiB)
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[05:04] Downloading flash-attn (228.4MiB)
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[05:06] Downloaded sageattention
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[05:10] Downloaded flash-attn
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[05:10] Prepared 2 packages in 5.26s
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[05:10] Installed 2 packages in 34ms
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[05:10] + flash-attn==2.8.3+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/flash_attn-latest/flash_attn-2.8.3%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
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[05:10] + sageattention==2.2.0+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/sageattention-latest/sageattention-2.2.0%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
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[05:10] [comfy-env] geometrypack-nodes: installing cuda-wheels with --no-deps (cumesh)
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[05:10] Using Python 3.13.13 environment at: .pixi\envs\geometrypack-nodes
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[05:11] Resolved 1 package in 744ms
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[05:11] Downloading cumesh (3.8MiB)
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[05:11] Downloaded cumesh
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[05:11] Prepared 1 package in 113ms
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[05:11] Installed 1 package in 11ms
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[05:11] + cumesh==0.0.1+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/cumesh-latest/cumesh-0.0.1%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
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[05:11] [comfy-env] Recorded install hash 21b565bb6a61 -> C:\Users\ContainerAdministrator\AppData\Local\Programs\comfy-env\install.hash
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[05:11] [comfy-env] Install log: C:\Users\ContainerAdministrator\AppData\Local\Programs\comfy-env\install.log
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[05:11]
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[05:11] Installation complete!
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[05:11]
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[05:11] [requirements] Re-installing main package requirements...
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[05:11] Installing requirements for ComfyUI-DepthAnythingV3...
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[05:11] [comfy-env] _discover: scanning C:\workspaces\DepthAnythingV3-1443\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[05:11] [comfy-env] _discover: ComfyUI-DepthAnythingV3 -> depthanythingv3-nodes (custom_nodes\ComfyUI-DepthAnythingV3\nodes\comfy-env.toml)
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[05:11] [comfy-env] _discover: ComfyUI-GeometryPack -> geometrypack-nodes (custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml)
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[05:11] [comfy-env] _discover: ComfyUI-KJNodes: no comfy-env.toml found
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[05:11] [comfy-env] _discover: ComfyUI-VideoHelperSuite: no comfy-env.toml found
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[05:11] [comfy-env] Workspace inputs unchanged (hash 21b565bb6a61) -- skipping install. Delete C:\Users\ContainerAdministrator\AppData\Local\Programs\comfy-env\install.hash to force.
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[05:11]
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[05:11] Installation complete!
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[05:11] Installing 3 node dependency(ies)...
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[05:11] ComfyUI-VideoHelperSuite from Kosinkadink/ComfyUI-VideoHelperSuite
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[05:11] ComfyUI-VideoHelperSuite already exists, skipping...
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[05:11] ComfyUI-KJNodes from kijai/ComfyUI-KJNodes
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[05:11] ComfyUI-KJNodes already exists, skipping...
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[05:11] ComfyUI-GeometryPack from PozzettiAndrea/ComfyUI-GeometryPack
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[05:11] ComfyUI-GeometryPack already exists, skipping...
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[05:11] Installing validation endpoint...
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[05:11] Cloning PozzettiAndrea/ComfyUI-validate-endpoint...
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[05:11] Running: git clone --depth 1 https://github.com/PozzettiAndrea/ComfyUI-validate-endpoint.git C:\workspaces\DepthAnythingV3-1443\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-validate-endpoint
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[05:12] CUDA packages absent (will mock): flash_attn, sageattention
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[05:12] [INSTALL] PASSED
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[05:12]
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[05:12] [3/5] REGISTRATION
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[05:12] ----------------------------------------
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[05:12]
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[DEBUG] server=None, server_url=None, api=None
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[05:12]
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Starting ComfyUI server...
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[05:12] Starting ComfyUI server on port 41889...
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[05:12] CUDA mock packages: flash_attn, sageattention
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[05:12] Starting ComfyUI server on port 41889...
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[05:12] Server stdout/stderr -> C:\workspaces\DepthAnythingV3-1443\server.log
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[05:12] Waiting for server to be ready (timeout: 600s)...
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[05:12] [ComfyUI:stdout] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[05:12] [ComfyUI:stderr] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[06:30] Server responding, waiting for nodes to load...
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[06:50] Server is ready!
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[06:50] Checking for import errors in server logs...
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[06:50] No import errors detected
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[06:50] Found 1120 registered nodes
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[06:50] [REGISTRATION] PASSED
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[06:50]
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[06:50] [4/5] INSTANTIATION
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[06:50] ----------------------------------------
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[06:50]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x000001E0F07E57F0>, server_url=None, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x000001E0F07E5E80>
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[06:50] Testing node constructors...
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[06:50] All 15 node(s) instantiated successfully!
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[06:50] [INSTANTIATION] PASSED
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[06:50]
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[06:50] [5/5] EXECUTION
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[06:50] ----------------------------------------
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[06:50]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x000001E0F07E57F0>, server_url=None, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x000001E0F07E5E80>
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[06:50] GPU runner - will execute 7 workflow(s)
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[06:50] Running 7 workflow(s) (all with videos)...
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[06:51] Installing screenshot dependencies (playwright, pillow)...
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[06:52] Packages installed, downloading chromium browser...
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[07:09] Screenshot dependencies installed successfully
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[07:10] Starting headless browser...
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[07:11] Downloading Mesa llvmpipe for Windows...
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[07:11] Mesa download error: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1032)>
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[07:11] Mesa unavailable -- falling back to SwiftShader
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[07:16] Capturing execution frames: advanced.json
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[07:24] Frame 1 saved (frame_000.jpg, t=0.0s)
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[07:24] Validating workflow...
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[07:24] Queuing workflow for execution...
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[07:26] Frame 2 saved (frame_001.jpg, t=2.3s)
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[07:26] [capture-periodic] freeze=4ms shot=108ms unfreeze=4ms saved=True
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[07:29] Frame 3 saved (frame_002.jpg, t=4.6s)
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[07:29] [capture-periodic] freeze=4ms shot=120ms unfreeze=5ms saved=True
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[07:30] [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.0/31.9GB (28%) swap=0.1/5.0GB (2%) cpu=8% browser_rss=0.70GB
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[07:36] [capture-loop] iter=100 t=12.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=10.4/31.9GB (32%) swap=0.1/5.0GB (2%) cpu=7% browser_rss=0.70GB
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[07:42] [capture-loop] iter=150 t=18.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.5/31.9GB (30%) swap=0.1/5.0GB (2%) cpu=7% browser_rss=0.70GB
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[07:48] [capture-loop] iter=200 t=24.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.6/31.9GB (27%) swap=0.1/5.0GB (2%) cpu=8% browser_rss=0.64GB
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[07:53] Frame 4 saved (frame_003.jpg, t=28.8s)
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[07:53] [capture-periodic] freeze=4ms shot=109ms unfreeze=5ms saved=True
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[07:54] [capture-loop] iter=250 t=30.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=9.0/31.9GB (28%) swap=0.1/5.0GB (2%) cpu=14% browser_rss=0.64GB
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[08:00] [capture-loop] iter=300 t=36.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.3/31.9GB (29%) swap=0.1/5.0GB (2%) cpu=8% browser_rss=0.64GB
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[08:06] [capture-loop] iter=350 t=42.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.3/31.9GB (29%) swap=0.1/5.0GB (2%) cpu=5% browser_rss=0.64GB
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[08:12] [capture-loop] iter=400 t=47.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.4/31.9GB (30%) swap=0.1/5.0GB (2%) cpu=5% browser_rss=0.64GB
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[08:18] [capture-loop] iter=450 t=53.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.4/31.9GB (30%) swap=0.1/5.0GB (2%) cpu=5% browser_rss=0.62GB
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[08:23] [capture-loop] iter=500 t=59.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.5/31.9GB (30%) swap=0.1/5.0GB (2%) cpu=5% browser_rss=0.62GB
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[08:29] [capture-loop] iter=550 t=65.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.5/31.9GB (30%) swap=0.1/5.0GB (2%) cpu=5% browser_rss=0.62GB
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[08:35] [capture-loop] iter=600 t=71.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.6/31.9GB (30%) swap=0.1/5.0GB (2%) cpu=4% browser_rss=0.62GB
|
|
[08:41] [capture-loop] iter=650 t=77.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.6/31.9GB (30%) swap=0.1/5.0GB (2%) cpu=4% browser_rss=0.62GB
|
|
[08:47] [capture-loop] iter=700 t=82.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.7/31.9GB (30%) swap=0.1/5.0GB (2%) cpu=3% browser_rss=0.62GB
|
|
[08:53] [capture-loop] iter=750 t=88.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=9.7/31.9GB (30%) swap=0.1/5.0GB (2%) cpu=3% browser_rss=0.62GB
|
|
[08:58] [capture-loop] iter=800 t=94.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=9.8/31.9GB (31%) swap=0.1/5.0GB (2%) cpu=3% browser_rss=0.62GB
|
|
[09:04] [capture-loop] iter=850 t=100.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.8/31.9GB (31%) swap=0.1/5.0GB (2%) cpu=3% browser_rss=0.62GB
|
|
[09:10] [capture-loop] iter=900 t=106.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.9/31.9GB (31%) swap=0.1/5.0GB (2%) cpu=3% browser_rss=0.62GB
|
|
[09:15] Frame 5 saved (frame_004.jpg, t=110.5s)
|
|
[09:15] [capture-periodic] freeze=4ms shot=115ms unfreeze=4ms saved=True
|
|
[09:16] [capture-loop] iter=950 t=112.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=9.7/31.9GB (30%) swap=0.1/5.0GB (2%) cpu=3% browser_rss=0.62GB
|
|
[09:17] Frame 6 saved (frame_005.jpg, t=112.7s)
|
|
[09:17] [capture-periodic] freeze=4ms shot=109ms unfreeze=4ms saved=True
|
|
[09:19] Frame 7 saved (frame_006.jpg, t=114.8s)
|
|
[09:19] [capture-periodic] freeze=4ms shot=110ms unfreeze=9ms saved=True
|
|
[09:21] Frame 8 saved (frame_007.jpg, t=117.0s)
|
|
[09:21] [capture-periodic] freeze=4ms shot=111ms unfreeze=5ms saved=True
|
|
[09:22] [capture-loop] iter=1000 t=118.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.9/31.9GB (28%) swap=0.1/5.0GB (2%) cpu=5% browser_rss=0.63GB
|
|
[09:28] [capture-loop] iter=1050 t=123.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.0/31.9GB (28%) swap=0.1/5.0GB (2%) cpu=4% browser_rss=0.62GB
|
|
[09:32] Node executed (4 total), capturing...
|
|
[09:32] Frame 9 saved (frame_008.jpg, t=128.3s)
|
|
[09:32] [capture-node] freeze=5ms shot=125ms unfreeze=5ms saved=True
|
|
[09:32] Node executed (8 total), capturing...
|
|
[09:33] Frame 10 saved (frame_009.jpg, t=128.7s)
|
|
[09:33] [capture-node] freeze=4ms shot=130ms unfreeze=0ms saved=True
|
|
[09:33] Execution complete (t=128.7s)
|
|
[09:33] Captured 10 unique frames over 128.89s
|
|
[09:33] [debug] iframes: 0
|
|
[09:33] [timing] trigger_3d_previews: 0.0s
|
|
[09:35] Saved high-quality screenshot: advanced_executed.png
|
|
[09:35] [timing] final_screenshot: 0.4s
|
|
[09:35] Capturing execution frames: advanced_3d.json
|
|
[09:42] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[09:42] Validating workflow...
|
|
[09:42] Queuing workflow for execution...
|
|
[09:44] Frame 2 saved (frame_001.jpg, t=2.3s)
|
|
[09:44] [capture-periodic] freeze=4ms shot=102ms unfreeze=5ms saved=True
|
|
[09:47] Frame 3 saved (frame_002.jpg, t=4.5s)
|
|
[09:47] [capture-periodic] freeze=6ms shot=126ms unfreeze=4ms saved=True
|
|
[09:48] [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.0/31.9GB (28%) swap=0.1/5.0GB (2%) cpu=8% browser_rss=0.78GB
|
|
[09:51] Frame 4 saved (frame_003.jpg, t=8.9s)
|
|
[09:51] [capture-periodic] freeze=5ms shot=184ms unfreeze=6ms saved=True
|
|
[09:54] [capture-loop] iter=100 t=12.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.8/31.9GB (31%) swap=0.1/5.0GB (2%) cpu=14% browser_rss=0.78GB
|
|
[09:56] Node executed (1 total), capturing...
|
|
[09:58] Frame 5 saved (frame_004.jpg, t=14.6s)
|
|
[09:58] [capture-node] freeze=1210ms shot=128ms unfreeze=4ms saved=True
|
|
[09:58] Node executed (2 total), capturing...
|
|
[09:58] [capture-node] freeze=4ms shot=116ms unfreeze=0ms saved=False
|
|
[09:58] Execution complete (t=16.2s)
|
|
[09:58] Captured 5 unique frames over 16.34s
|
|
[09:58] [debug] iframes: 1
|
|
[09:58] [debug] iframe[0]: src=http://127.0.0.1:41889/extensions/ComfyUI-GeometryPack/viewer_vtk.html?v=1778676, canvas=486x394, rafFrozen=True
|
|
[09:58] [timing] trigger_3d_previews: 0.0s
|
|
[10:01] Saved high-quality screenshot: advanced_3d_executed.png
|
|
[10:01] [timing] final_screenshot: 0.2s
|
|
[10:01] Capturing execution frames: advanced_3d_multiview.json
|
|
[10:07] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[10:07] Validating workflow...
|
|
[10:07] Queuing workflow for execution...
|
|
[10:08] Node executed (1 total), capturing...
|
|
[10:08] Frame 2 saved (frame_001.jpg, t=0.6s)
|
|
[10:08] [capture-node] freeze=5ms shot=113ms unfreeze=5ms saved=True
|
|
[10:12] Frame 3 saved (frame_002.jpg, t=4.9s)
|
|
[10:12] [capture-periodic] freeze=4ms shot=103ms unfreeze=5ms saved=True
|
|
[10:14] [capture-loop] iter=50 t=6.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=9.0/31.9GB (28%) swap=0.1/5.0GB (2%) cpu=6% browser_rss=0.76GB
|
|
[10:19] Node executed (4 total), capturing...
|
|
[10:19] Frame 4 saved (frame_003.jpg, t=11.4s)
|
|
[10:19] [capture-node] freeze=4ms shot=113ms unfreeze=0ms saved=True
|
|
[10:19] Execution complete (t=11.4s)
|
|
[10:19] Captured 4 unique frames over 11.63s
|
|
[10:19] [debug] iframes: 1
|
|
[10:19] [debug] iframe[0]: src=http://127.0.0.1:41889/extensions/ComfyUI-DepthAnythingV3/viewer_vtk.html?v=1778, canvas=486x394, rafFrozen=True
|
|
[10:19] [timing] trigger_3d_previews: 0.0s
|
|
[10:21] Saved high-quality screenshot: advanced_3d_multiview_executed.png
|
|
[10:21] [timing] final_screenshot: 0.2s
|
|
[10:21] Capturing execution frames: bas_relief.json
|
|
[10:28] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[10:28] Validating workflow...
|
|
[10:28] Queuing workflow for execution...
|
|
[10:30] Frame 2 saved (frame_001.jpg, t=2.3s)
|
|
[10:30] [capture-periodic] freeze=3ms shot=134ms unfreeze=5ms saved=True
|
|
[10:33] Frame 3 saved (frame_002.jpg, t=4.6s)
|
|
[10:33] [capture-periodic] freeze=8ms shot=196ms unfreeze=5ms saved=True
|
|
[10:34] [capture-loop] iter=50 t=6.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.1/31.9GB (28%) swap=0.1/5.0GB (2%) cpu=11% browser_rss=0.88GB
|
|
[10:39] Frame 4 saved (frame_003.jpg, t=11.2s)
|
|
[10:39] [capture-periodic] freeze=6ms shot=152ms unfreeze=5ms saved=True
|
|
[10:40] [capture-loop] iter=100 t=12.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=10.3/31.9GB (32%) swap=0.1/5.0GB (2%) cpu=13% browser_rss=0.87GB
|
|
[10:46] Node executed (3 total), capturing...
|
|
[10:47] Frame 5 saved (frame_004.jpg, t=18.4s)
|
|
[10:47] [capture-node] freeze=12ms shot=190ms unfreeze=0ms saved=True
|
|
[10:47] Execution complete (t=18.4s)
|
|
[10:47] [3d-wait] Phase 1: Waiting for 'Loading 3D Model' text to disappear...
|
|
[11:47] [3d-wait] Phase 1 exception after 60.0s: Page.wait_for_function: Timeout 60000ms exceeded.
|
|
[11:47] [3d-wait] Phase 2: iframes=0
|
|
[11:47] [3d-wait] Total 3D wait: 60.0s
|
|
[11:47] Captured 5 unique frames over 78.72s
|
|
[11:47] [debug] iframes: 0
|
|
[11:47] [timing] trigger_3d_previews: 0.0s
|
|
[11:50] Saved high-quality screenshot: bas_relief_executed.png
|
|
[11:50] [timing] final_screenshot: 0.3s
|
|
[11:51] Capturing execution frames: da3_streaming.json
|
|
[11:58] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[11:58] Validating workflow...
|
|
[11:58] Queuing workflow for execution...
|
|
[12:00] Frame 2 saved (frame_001.jpg, t=2.2s)
|
|
[12:00] [capture-periodic] freeze=4ms shot=99ms unfreeze=5ms saved=True
|
|
[12:03] Frame 3 saved (frame_002.jpg, t=4.5s)
|
|
[12:03] [capture-periodic] freeze=4ms shot=111ms unfreeze=5ms saved=True
|
|
[12:04] [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.2/31.9GB (29%) swap=0.1/5.0GB (2%) cpu=6% browser_rss=0.94GB
|
|
[12:10] [capture-loop] iter=100 t=11.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.2/31.9GB (29%) swap=0.1/5.0GB (2%) cpu=3% browser_rss=0.93GB
|
|
[12:16] [capture-loop] iter=150 t=17.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.3/31.9GB (29%) swap=0.1/5.0GB (2%) cpu=5% browser_rss=0.93GB
|
|
[12:18] Frame 4 saved (frame_003.jpg, t=19.9s)
|
|
[12:18] [capture-periodic] freeze=7ms shot=110ms unfreeze=7ms saved=True
|
|
[12:21] [capture-loop] iter=200 t=23.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.4/31.9GB (29%) swap=0.1/5.0GB (2%) cpu=6% browser_rss=0.91GB
|
|
[12:27] [capture-loop] iter=250 t=29.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.4/31.9GB (29%) swap=0.1/5.0GB (2%) cpu=3% browser_rss=0.84GB
|
|
[12:33] [capture-loop] iter=300 t=35.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.4/31.9GB (29%) swap=0.1/5.0GB (2%) cpu=2% browser_rss=0.84GB
|
|
[12:39] [capture-loop] iter=350 t=40.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.4/31.9GB (29%) swap=0.1/5.0GB (2%) cpu=2% browser_rss=0.84GB
|
|
[12:40] Frame 5 saved (frame_004.jpg, t=41.9s)
|
|
[12:40] [capture-periodic] freeze=4ms shot=109ms unfreeze=5ms saved=True
|
|
[12:45] [capture-loop] iter=400 t=46.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=10.5/31.9GB (33%) swap=0.1/5.0GB (2%) cpu=9% browser_rss=0.84GB
|
|
[12:51] [capture-loop] iter=450 t=53.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=11.2/31.9GB (35%) swap=0.4/5.0GB (8%) cpu=26% browser_rss=0.84GB
|
|
[12:57] [capture-loop] iter=500 t=59.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=11.3/31.9GB (35%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[13:03] [capture-loop] iter=550 t=64.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=11.2/31.9GB (35%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[13:09] [capture-loop] iter=600 t=70.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=11.4/31.9GB (36%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[13:13] Frame 6 saved (frame_005.jpg, t=75.2s)
|
|
[13:13] [capture-periodic] freeze=3ms shot=101ms unfreeze=6ms saved=True
|
|
[13:14] [capture-loop] iter=650 t=76.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=11.7/31.9GB (37%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[13:20] [capture-loop] iter=700 t=82.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=11.6/31.9GB (36%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[13:26] [capture-loop] iter=750 t=88.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=11.6/31.9GB (36%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[13:32] [capture-loop] iter=800 t=93.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=11.6/31.9GB (36%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[13:35] Frame 7 saved (frame_006.jpg, t=97.2s)
|
|
[13:35] [capture-periodic] freeze=4ms shot=105ms unfreeze=6ms saved=True
|
|
[13:38] [capture-loop] iter=850 t=99.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=11.9/31.9GB (37%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.85GB
|
|
[13:43] [capture-loop] iter=900 t=105.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=11.8/31.9GB (37%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[13:49] [capture-loop] iter=950 t=111.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=11.8/31.9GB (37%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[13:55] [capture-loop] iter=1000 t=117.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=11.8/31.9GB (37%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[13:57] Frame 8 saved (frame_007.jpg, t=119.3s)
|
|
[13:57] [capture-periodic] freeze=4ms shot=94ms unfreeze=6ms saved=True
|
|
[14:01] [capture-loop] iter=1050 t=122.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=12.0/31.9GB (38%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[14:07] [capture-loop] iter=1100 t=128.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=12.0/31.9GB (38%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[14:13] [capture-loop] iter=1150 t=134.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=12.0/31.9GB (38%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[14:18] [capture-loop] iter=1200 t=140.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=12.2/31.9GB (38%) swap=0.4/5.0GB (8%) cpu=5% browser_rss=0.84GB
|
|
[14:19] Frame 9 saved (frame_008.jpg, t=141.2s)
|
|
[14:19] [capture-periodic] freeze=4ms shot=102ms unfreeze=7ms saved=True
|
|
[14:24] [capture-loop] iter=1250 t=146.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=12.2/31.9GB (38%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[14:30] [capture-loop] iter=1300 t=152.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=12.2/31.9GB (38%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[14:36] [capture-loop] iter=1350 t=157.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=12.2/31.9GB (38%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[14:41] Frame 10 saved (frame_009.jpg, t=163.2s)
|
|
[14:41] [capture-periodic] freeze=4ms shot=108ms unfreeze=5ms saved=True
|
|
[14:42] [capture-loop] iter=1400 t=163.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=12.4/31.9GB (39%) swap=0.4/5.0GB (8%) cpu=5% browser_rss=0.84GB
|
|
[14:47] [capture-loop] iter=1450 t=169.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=12.4/31.9GB (39%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[14:53] [capture-loop] iter=1500 t=175.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=12.4/31.9GB (39%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[14:59] [capture-loop] iter=1550 t=181.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=12.4/31.9GB (39%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[15:03] Frame 11 saved (frame_010.jpg, t=185.1s)
|
|
[15:03] [capture-periodic] freeze=4ms shot=102ms unfreeze=4ms saved=True
|
|
[15:05] [capture-loop] iter=1600 t=186.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=12.6/31.9GB (40%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[15:11] [capture-loop] iter=1650 t=192.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=12.6/31.9GB (40%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[15:17] [capture-loop] iter=1700 t=198.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=12.6/31.9GB (40%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[15:22] [capture-loop] iter=1750 t=204.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=12.7/31.9GB (40%) swap=0.4/5.0GB (8%) cpu=7% browser_rss=0.84GB
|
|
[15:25] Frame 12 saved (frame_011.jpg, t=207.1s)
|
|
[15:25] [capture-periodic] freeze=4ms shot=102ms unfreeze=4ms saved=True
|
|
[15:28] [capture-loop] iter=1800 t=210.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=12.9/31.9GB (40%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[15:34] [capture-loop] iter=1850 t=216.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=12.9/31.9GB (40%) swap=0.4/5.0GB (8%) cpu=5% browser_rss=0.84GB
|
|
[15:38] Frame 13 saved (frame_012.jpg, t=220.4s)
|
|
[15:38] [capture-periodic] freeze=4ms shot=106ms unfreeze=5ms saved=True
|
|
[15:40] [capture-loop] iter=1900 t=222.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=13.7/31.9GB (43%) swap=0.4/5.0GB (8%) cpu=13% browser_rss=0.85GB
|
|
[15:41] Frame 14 saved (frame_013.jpg, t=222.7s)
|
|
[15:41] [capture-periodic] freeze=4ms shot=129ms unfreeze=6ms saved=True
|
|
[15:43] Frame 15 saved (frame_014.jpg, t=224.9s)
|
|
[15:43] [capture-periodic] freeze=4ms shot=100ms unfreeze=6ms saved=True
|
|
[15:45] Frame 16 saved (frame_015.jpg, t=227.2s)
|
|
[15:45] [capture-periodic] freeze=4ms shot=109ms unfreeze=4ms saved=True
|
|
[15:46] [capture-loop] iter=1950 t=228.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=13.6/31.9GB (43%) swap=0.4/5.0GB (8%) cpu=23% browser_rss=0.85GB
|
|
[15:47] Frame 17 saved (frame_016.jpg, t=229.3s)
|
|
[15:47] [capture-periodic] freeze=4ms shot=107ms unfreeze=29ms saved=True
|
|
[15:50] Frame 18 saved (frame_017.jpg, t=231.6s)
|
|
[15:50] [capture-periodic] freeze=4ms shot=110ms unfreeze=6ms saved=True
|
|
[15:52] [capture-loop] iter=2000 t=234.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=15.1/31.9GB (47%) swap=0.4/5.0GB (8%) cpu=11% browser_rss=0.85GB
|
|
[15:54] Frame 19 saved (frame_018.jpg, t=235.9s)
|
|
[15:54] [capture-periodic] freeze=4ms shot=99ms unfreeze=4ms saved=True
|
|
[15:58] [capture-loop] iter=2050 t=240.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=12.8/31.9GB (40%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[16:04] [capture-loop] iter=2100 t=246.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=12.8/31.9GB (40%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[16:10] [capture-loop] iter=2150 t=251.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=12.9/31.9GB (40%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[16:16] [capture-loop] iter=2200 t=257.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=12.9/31.9GB (40%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[16:22] [capture-loop] iter=2250 t=263.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=12.9/31.9GB (41%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[16:27] [capture-loop] iter=2300 t=269.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=13.0/31.9GB (41%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[16:33] [capture-loop] iter=2350 t=275.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=13.0/31.9GB (41%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[16:39] [capture-loop] iter=2400 t=281.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=13.0/31.9GB (41%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.84GB
|
|
[16:45] [capture-loop] iter=2450 t=287.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=13.5/31.9GB (42%) swap=0.4/5.0GB (8%) cpu=15% browser_rss=0.84GB
|
|
[16:47] Frame 20 saved (frame_019.jpg, t=288.6s)
|
|
[16:47] [capture-periodic] freeze=5ms shot=115ms unfreeze=6ms saved=True
|
|
[16:51] [capture-loop] iter=2500 t=293.5s state={'complete': True, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=18 ram=13.5/31.9GB (42%) swap=0.4/5.0GB (8%) cpu=48% browser_rss=0.84GB
|
|
[16:51] Node executed (1 total), capturing...
|
|
[16:52] Frame 21 saved (frame_020.jpg, t=293.6s)
|
|
[16:52] [capture-node] freeze=4ms shot=112ms unfreeze=0ms saved=True
|
|
[16:52] Execution complete (t=293.6s)
|
|
[16:52] Captured 21 unique frames over 293.78s
|
|
[16:52] [debug] iframes: 0
|
|
[16:52] [timing] trigger_3d_previews: 0.0s
|
|
[16:54] Saved high-quality screenshot: da3_streaming_executed.png
|
|
[16:54] [timing] final_screenshot: 0.2s
|
|
[16:54] Capturing execution frames: simple.json
|
|
[17:01] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[17:01] Validating workflow...
|
|
[17:01] Queuing workflow for execution...
|
|
[17:03] Frame 2 saved (frame_001.jpg, t=2.3s)
|
|
[17:03] [capture-periodic] freeze=4ms shot=119ms unfreeze=4ms saved=True
|
|
[17:05] Frame 3 saved (frame_002.jpg, t=4.5s)
|
|
[17:05] [capture-periodic] freeze=6ms shot=148ms unfreeze=4ms saved=True
|
|
[17:07] [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=9.0/31.9GB (28%) swap=0.4/5.0GB (8%) cpu=6% browser_rss=0.92GB
|
|
[17:10] Node executed (1 total), capturing...
|
|
[17:10] Frame 4 saved (frame_003.jpg, t=9.4s)
|
|
[17:10] [capture-node] freeze=4ms shot=131ms unfreeze=0ms saved=True
|
|
[17:10] Execution complete (t=9.4s)
|
|
[17:10] Captured 4 unique frames over 9.6s
|
|
[17:10] [debug] iframes: 0
|
|
[17:10] [timing] trigger_3d_previews: 0.0s
|
|
[17:13] Saved high-quality screenshot: simple_executed.png
|
|
[17:13] [timing] final_screenshot: 0.2s
|
|
[17:13] Capturing execution frames: video_multiview_depth.json
|
|
[17:19] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[17:19] Validating workflow...
|
|
[17:19] Queuing workflow for execution...
|
|
[17:20] Node executed (1 total), capturing...
|
|
[17:21] Frame 2 saved (frame_001.jpg, t=1.5s)
|
|
[17:21] [capture-node] freeze=5ms shot=115ms unfreeze=7ms saved=True
|
|
[17:25] Frame 3 saved (frame_002.jpg, t=5.8s)
|
|
[17:25] [capture-periodic] freeze=4ms shot=121ms unfreeze=6ms saved=True
|
|
[17:25] [capture-loop] iter=50 t=6.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.1/31.9GB (28%) swap=0.4/5.0GB (8%) cpu=9% browser_rss=0.92GB
|
|
[17:31] [capture-loop] iter=100 t=12.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=9.3/31.9GB (29%) swap=0.4/5.0GB (8%) cpu=6% browser_rss=0.91GB
|
|
[17:37] [capture-loop] iter=150 t=18.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.3/31.9GB (29%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.91GB
|
|
[17:43] [capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.3/31.9GB (29%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.91GB
|
|
[17:49] [capture-loop] iter=250 t=29.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.3/31.9GB (29%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.91GB
|
|
[17:55] [capture-loop] iter=300 t=35.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=9.3/31.9GB (29%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.91GB
|
|
[18:00] [capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.4/31.9GB (29%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.91GB
|
|
[18:06] [capture-loop] iter=400 t=47.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.4/31.9GB (29%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.90GB
|
|
[18:12] [capture-loop] iter=450 t=53.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=9.4/31.9GB (30%) swap=0.4/5.0GB (8%) cpu=3% browser_rss=0.91GB
|
|
[18:18] [capture-loop] iter=500 t=58.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.4/31.9GB (30%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.91GB
|
|
[18:24] [capture-loop] iter=550 t=64.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=9.4/31.9GB (30%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.91GB
|
|
[18:29] [capture-loop] iter=600 t=70.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.5/31.9GB (30%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.91GB
|
|
[18:35] [capture-loop] iter=650 t=76.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.5/31.9GB (30%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.91GB
|
|
[18:41] [capture-loop] iter=700 t=82.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.5/31.9GB (30%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.91GB
|
|
[18:47] [capture-loop] iter=750 t=87.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.5/31.9GB (30%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.91GB
|
|
[18:53] [capture-loop] iter=800 t=93.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=9.5/31.9GB (30%) swap=0.4/5.0GB (8%) cpu=2% browser_rss=0.91GB
|
|
[18:58] Frame 4 saved (frame_003.jpg, t=98.5s)
|
|
[18:58] [capture-periodic] freeze=4ms shot=110ms unfreeze=5ms saved=True
|
|
[18:58] [capture-loop] iter=850 t=99.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=9.2/31.9GB (29%) swap=0.4/5.0GB (8%) cpu=4% browser_rss=0.92GB
|
|
[19:05] [capture-loop] iter=900 t=105.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=10.7/31.9GB (34%) swap=0.4/5.0GB (8%) cpu=16% browser_rss=0.91GB
|
|
[19:05] Node executed (2 total), capturing...
|
|
[19:05] Frame 5 saved (frame_004.jpg, t=106.0s)
|
|
[19:05] [capture-node] freeze=5ms shot=121ms unfreeze=4ms saved=True
|
|
[19:07] Frame 6 saved (frame_005.jpg, t=108.3s)
|
|
[19:07] [capture-periodic] freeze=4ms shot=114ms unfreeze=5ms saved=True
|
|
[19:11] [capture-loop] iter=950 t=111.6s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=4 ram=9.3/31.9GB (29%) swap=0.7/5.0GB (15%) cpu=9% browser_rss=0.93GB
|
|
[19:14] Frame 7 saved (frame_006.jpg, t=115.0s)
|
|
[19:14] [capture-periodic] freeze=12ms shot=204ms unfreeze=14ms saved=True
|
|
[19:16] Node executed (3 total), capturing...
|
|
[19:17] Frame 8 saved (frame_007.jpg, t=117.5s)
|
|
[19:17] [capture-node] freeze=5ms shot=106ms unfreeze=0ms saved=True
|
|
[19:17] Execution complete (t=117.5s)
|
|
[19:17] Captured 8 unique frames over 117.67s
|
|
[19:17] [debug] iframes: 0
|
|
[19:17] [timing] trigger_3d_previews: 0.0s
|
|
[19:19] Saved high-quality screenshot: video_multiview_depth_executed.png
|
|
[19:19] [timing] final_screenshot: 0.2s
|
|
[19:19] Results saved to C:\logs\DepthAnythingV3-1443\dev\windows-portable-gpu\results.json
|
|
[19:19] Model report: 17 files, 2.4 GB -> C:\logs\DepthAnythingV3-1443\dev\windows-portable-gpu\models.json
|
|
[19:19] Saved: C:\logs\DepthAnythingV3-1443\dev\windows-portable-gpu\index.html
|
|
[19:19] [EXECUTION] PASSED
|
|
[19:19]
|
|
windows_portable: PASSED
|
|
[19:19] Stopping ComfyUI server...
|