368 lines
32 KiB
Plaintext
368 lines
32 KiB
Plaintext
[00:00] Crash dump logging enabled: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\DepthAnythingV3-1106\dev\windows-portable-cpu\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, 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, 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: v0.21.1
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[00:00] Downloading portable ComfyUI from https://github.com/comfyanonymous/ComfyUI/releases/download/v0.21.1/ComfyUI_windows_portable_nvidia.7z...
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[00:02] Downloaded: 10%
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[00:03] Downloaded: 20%
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[00:04] Downloaded: 30%
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[00:05] Downloaded: 40%
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[00:06] Downloaded: 50%
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[00:07] Downloaded: 60%
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[00:08] Downloaded: 70%
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[00:08] Downloaded: 80%
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[00:09] Downloaded: 90%
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[00:10] Downloaded: 100%
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[00:10] Downloaded to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1.7z
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[00:10] Extracting to cache: C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[00:10] Extracting ComfyUI_portable_v0.21.1.7z...
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[00:13] Using 7z: 7z
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[02:22] Extracted to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[02:22] Copying from cache to: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\portable-comfyui
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[02:41] Installing uv into embedded Python...
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[02:41] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install uv
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[02:44] Installing ComfyUI requirements...
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[02:44] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m uv pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\portable-comfyui\ComfyUI_windows_portable\ComfyUI\requirements.txt
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[02:45]
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Installing custom node...
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[02:45] Copying ComfyUI-DepthAnythingV3 to custom_nodes/...
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[02:45] Installing node requirements...
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[02:45] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-DepthAnythingV3\requirements.txt
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[02:49]
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Running install.py...
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[02:49] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-DepthAnythingV3\install.py
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[02:49]
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[02:49] Installing 3 node dependencies...
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[02:49] Cloning ComfyUI-VideoHelperSuite...
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[02:49] Installing requirements for ComfyUI-VideoHelperSuite...
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[02:51] Cloning ComfyUI-KJNodes...
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[02:52] Installing requirements for ComfyUI-KJNodes...
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[02:54] Cloning ComfyUI-GeometryPack...
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[02:56] Installing requirements for ComfyUI-GeometryPack...
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[02:57] Running install.py for ComfyUI-GeometryPack...
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[03:00] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[03:00] [comfy-env] _discover: ComfyUI-DepthAnythingV3 -> depthanythingv3-nodes (custom_nodes\ComfyUI-DepthAnythingV3\nodes\comfy-env.toml)
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[03:00] [comfy-env] _discover: ComfyUI-GeometryPack -> geometrypack-nodes (custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml)
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[03:00] [comfy-env] _discover: ComfyUI-KJNodes: no comfy-env.toml found
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[03:00] [comfy-env] _discover: ComfyUI-VideoHelperSuite: no comfy-env.toml found
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[03:00] [comfy-env] Workspace: C:\Users\stduser\AppData\Local\Programs\comfy-env
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[03:00] [comfy-env] ComfyUI: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\portable-comfyui\ComfyUI_windows_portable\ComfyUI
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[03:00] [comfy-env] Found 2 node config(s):
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[03:00] - depthanythingv3-nodes <- custom_nodes\ComfyUI-DepthAnythingV3\nodes\comfy-env.toml (python=host)
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[03:00] - geometrypack-nodes <- custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml (python=host)
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[03:00] [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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[03:01] [comfy-env] GPU: No GPU detected
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[03:01] [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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[03:01] [comfy-env] cuda-wheels: 3 package(s) need a matched (cuda, torch, python) combo: ['flash_attn', 'sageattention', 'cumesh']
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[03:01] [comfy-env] cuda-wheels tier 1 (bootstrap): probing cu13.0/torch2.11/cp313
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[03:01] [cuda-wheels] Looking up flash_attn: cu130 torch2.11 cp313 win_amd64
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[03:02] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:02] [cuda-wheels] Looking up sageattention: cu130 torch2.11 cp313 win_amd64
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[03:02] [cuda-wheels] Found: sageattention-2.2.0+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:02] [cuda-wheels] Looking up cumesh: cu130 torch2.11 cp313 win_amd64
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[03:02] [cuda-wheels] Found: cumesh-0.0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:03] [comfy-env] cuda-wheels combo: cu13.0/torch2.11 (bootstrap matches; per-node envs will pin to this)
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[03:03] [cuda-wheels] Looking up flash_attn: cu130 torch2.11 cp313 win_amd64
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[03:03] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:03] [cuda-wheels] Looking up sageattention: cu130 torch2.11 cp313 win_amd64
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[03:03] [cuda-wheels] Found: sageattention-2.2.0+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:03] [comfy-env] depthanythingv3-nodes: cuda-wheels deferred for post-pixi install (flash_attn, sageattention)
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[03:03] [cuda-wheels] Looking up cumesh: cu130 torch2.11 cp313 win_amd64
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[03:03] [cuda-wheels] Found: cumesh-0.0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:03] [comfy-env] geometrypack-nodes: cuda-wheels deferred for post-pixi install (cumesh)
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[03:03] Generated C:\Users\stduser\AppData\Local\Programs\comfy-env\pixi.toml
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[03:03] [comfy-env] Installing 2 environment(s):
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[03:03] - depthanythingv3-nodes (python=host, 11 pypi deps, 2 cuda wheels)
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[03:03] - geometrypack-nodes (python=host, 14 pypi deps, 1 cuda wheels)
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[03:03] [comfy-env] Running `pixi install -e depthanythingv3-nodes -e geometrypack-nodes`...
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[03:27] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[03:27] - Scripts/.librsvg-pre-unlink.bat
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[03:27] To enable them, run:
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[03:27] pixi config set --local run-post-link-scripts insecure
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[03:27] More info:
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[03:27] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[07:06] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[07:06] - Scripts/.librsvg-pre-unlink.bat
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[07:06] To enable them, run:
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[07:06] pixi config set --local run-post-link-scripts insecure
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[07:06] More info:
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[07:06] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[07:37] The following environments have been installed: depthanythingv3-nodes, geometrypack-nodes.
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[07:37] [comfy-env] depthanythingv3-nodes: installing cuda-wheels with --no-deps (flash_attn, sageattention)
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[07:37] Using Python 3.13.13 environment at: .pixi\envs\depthanythingv3-nodes
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[07:38] Resolved 2 packages in 655ms
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[07:38] Downloading flash-attn (228.4MiB)
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[07:38] Downloading sageattention (35.4MiB)
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[07:38] Downloaded sageattention
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[07:41] Downloaded flash-attn
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[07:41] Prepared 2 packages in 2.97s
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[07:41] Installed 2 packages in 108ms
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[07:41] + 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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[07:41] + 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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[07:41] [comfy-env] geometrypack-nodes: installing cuda-wheels with --no-deps (cumesh)
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[07:41] Using Python 3.13.13 environment at: .pixi\envs\geometrypack-nodes
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[07:41] Resolved 1 package in 338ms
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[07:41] Downloading cumesh (3.8MiB)
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[07:42] Downloaded cumesh
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[07:42] Prepared 1 package in 87ms
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[07:42] Installed 1 package in 16ms
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[07:42] + 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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[07:42] [comfy-env] Recorded install hash e5382565b349 -> C:\Users\stduser\AppData\Local\Programs\comfy-env\install.hash
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[07:42] [comfy-env] Install log: C:\Users\stduser\AppData\Local\Programs\comfy-env\install.log
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[07:42]
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[07:42] Installation complete!
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[07:42]
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[07:42] [requirements] Re-installing main package requirements...
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[07:42] Installing requirements for ComfyUI-DepthAnythingV3...
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[08:02] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[08:02] [comfy-env] _discover: ComfyUI-DepthAnythingV3 -> depthanythingv3-nodes (custom_nodes\ComfyUI-DepthAnythingV3\nodes\comfy-env.toml)
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[08:02] [comfy-env] _discover: ComfyUI-GeometryPack -> geometrypack-nodes (custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml)
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[08:02] [comfy-env] _discover: ComfyUI-KJNodes: no comfy-env.toml found
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[08:02] [comfy-env] _discover: ComfyUI-VideoHelperSuite: no comfy-env.toml found
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[08:02] [comfy-env] Workspace inputs unchanged (hash e5382565b349) -- skipping install. Delete C:\Users\stduser\AppData\Local\Programs\comfy-env\install.hash to force.
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[08:02]
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[08:02] Installation complete!
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[08:02] Installing 3 node dependency(ies)...
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[08:02] ComfyUI-VideoHelperSuite from Kosinkadink/ComfyUI-VideoHelperSuite
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[08:02] ComfyUI-VideoHelperSuite already exists, skipping...
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[08:02] ComfyUI-KJNodes from kijai/ComfyUI-KJNodes
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[08:02] ComfyUI-KJNodes already exists, skipping...
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[08:02] ComfyUI-GeometryPack from PozzettiAndrea/ComfyUI-GeometryPack
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[08:02] ComfyUI-GeometryPack already exists, skipping...
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[08:02] Installing validation endpoint...
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[08:02] Cloning PozzettiAndrea/ComfyUI-validate-endpoint...
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[08:02] Running: git clone --depth 1 https://x-access-token:***@github.com/PozzettiAndrea/ComfyUI-validate-endpoint.git D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-validate-endpoint
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[08:06] CUDA packages absent (will mock): flash_attn, sageattention
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[08:06] [INSTALL] PASSED
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[08:06]
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[08:06] [3/5] REGISTRATION
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[08:06] ----------------------------------------
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[08:06]
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[DEBUG] server=None, api=None
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[08:06]
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Starting ComfyUI server...
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[08:06] Starting ComfyUI server on port 41891...
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[08:06] CUDA mock packages: flash_attn, sageattention
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[08:06] Starting ComfyUI server on port 41891...
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[08:06] Server stdout/stderr -> D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\DepthAnythingV3-1106\server.log
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[08:06] Waiting for server to be ready (timeout: 600s)...
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[08:06] [ComfyUI:stdout] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[08:06] [ComfyUI:stderr] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[08:49] Server responding, waiting for nodes to load...
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[09:09] Server is ready!
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[09:09] Checking for import errors in server logs...
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[09:09] No import errors detected
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[09:09] Found 1130 registered nodes
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[09:09] [REGISTRATION] PASSED
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[09:09]
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[09:09] [4/5] INSTANTIATION
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[09:09] ----------------------------------------
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[09:09]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x000002285DFC9940>, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x000002285DFC9FD0>
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[09:09] Testing node constructors...
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[09:12] All 15 node(s) instantiated successfully!
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[09:12] [INSTANTIATION] PASSED
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[09:12]
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[09:12] [5/5] EXECUTION
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[09:12] ----------------------------------------
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[09:12]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x000002285DFC9940>, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x000002285DFC9FD0>
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[09:12] CPU runner - will execute 4 workflow(s)
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[09:12] Running 7 workflow(s) (all with videos)...
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[09:12] Installing screenshot dependencies (playwright, pillow)...
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[09:15] Packages installed, downloading chromium browser...
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[09:28] Screenshot dependencies installed successfully
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[09:29] Starting headless browser...
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[09:29] Downloading Mesa llvmpipe for Windows...
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[09:33] Copied opengl32.dll to Chromium dir
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[09:33] Copied libgallium_wgl.dll to Chromium dir
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[09:33] Using Mesa llvmpipe (desktop GL) -- multithreaded CPU rendering
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[09:34] Capturing execution frames: advanced.json
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[09:44] Frame 1 saved (frame_000.jpg, t=0.0s)
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[09:44] Validating workflow...
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[09:44] Queuing workflow for execution...
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[09:46] Frame 2 saved (frame_001.jpg, t=2.2s)
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[09:46] [capture-periodic] freeze=3ms shot=104ms unfreeze=4ms saved=True
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[09:48] Frame 3 saved (frame_002.jpg, t=4.4s)
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[09:48] [capture-periodic] freeze=4ms shot=116ms unfreeze=5ms saved=True
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[09:50] [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.1/16.0GB (38%) swap=0.2/2.9GB (9%) cpu=35% browser_rss=0.70GB
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[09:55] Frame 4 saved (frame_003.jpg, t=11.2s)
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[09:55] [capture-periodic] freeze=5ms shot=111ms unfreeze=5ms saved=True
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[09:56] [capture-loop] iter=100 t=12.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.4/16.0GB (40%) swap=0.2/2.9GB (9%) cpu=70% browser_rss=0.71GB
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[09:57] Frame 5 saved (frame_004.jpg, t=13.4s)
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[09:57] [capture-periodic] freeze=3ms shot=102ms unfreeze=6ms saved=True
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[10:02] [capture-loop] iter=150 t=18.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.4/16.0GB (40%) swap=0.2/2.9GB (9%) cpu=18% browser_rss=0.70GB
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[10:08] [capture-loop] iter=200 t=24.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.3/16.0GB (39%) swap=0.2/2.9GB (9%) cpu=25% browser_rss=0.64GB
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[10:13] [capture-loop] iter=250 t=29.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.1/16.0GB (38%) swap=0.2/2.9GB (9%) cpu=28% browser_rss=0.63GB
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[10:19] [capture-loop] iter=300 t=35.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.3/16.0GB (39%) swap=0.2/2.9GB (8%) cpu=39% browser_rss=0.63GB
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[10:25] [capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.2/16.0GB (45%) swap=0.2/2.9GB (8%) cpu=74% browser_rss=0.63GB
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[10:31] [capture-loop] iter=400 t=47.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.2/2.9GB (8%) cpu=67% browser_rss=0.63GB
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[10:36] [capture-loop] iter=450 t=53.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.5/16.0GB (40%) swap=0.4/2.9GB (14%) cpu=62% browser_rss=0.60GB
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[10:42] [capture-loop] iter=500 t=58.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.0/16.0GB (50%) swap=0.4/2.9GB (14%) cpu=59% browser_rss=0.59GB
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[10:48] [capture-loop] iter=550 t=64.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.7/16.0GB (42%) swap=0.4/2.9GB (14%) cpu=62% browser_rss=0.59GB
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[10:54] [capture-loop] iter=600 t=70.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.7/16.0GB (48%) swap=0.4/2.9GB (14%) cpu=64% browser_rss=0.59GB
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[10:59] [capture-loop] iter=650 t=76.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=0.4/2.9GB (14%) cpu=60% browser_rss=0.58GB
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[11:05] [capture-loop] iter=700 t=81.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.9/16.0GB (43%) swap=0.5/2.9GB (18%) cpu=62% browser_rss=0.58GB
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[11:11] [capture-loop] iter=750 t=87.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.5/2.9GB (18%) cpu=64% browser_rss=0.57GB
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[11:17] [capture-loop] iter=800 t=93.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.9/16.0GB (49%) swap=0.5/2.9GB (18%) cpu=58% browser_rss=0.57GB
|
|
[11:23] [capture-loop] iter=850 t=99.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (52%) swap=0.5/2.9GB (18%) cpu=64% browser_rss=0.56GB
|
|
[11:28] [capture-loop] iter=900 t=104.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.1/16.0GB (50%) swap=0.7/2.9GB (23%) cpu=70% browser_rss=0.56GB
|
|
[11:34] Node executed (2 total), capturing...
|
|
[11:34] Frame 6 saved (frame_005.jpg, t=110.7s)
|
|
[11:34] [capture-node] freeze=29ms shot=180ms unfreeze=4ms saved=True
|
|
[11:34] Node executed (8 total), capturing...
|
|
[11:35] Frame 7 saved (frame_006.jpg, t=111.2s)
|
|
[11:35] [capture-node] freeze=4ms shot=99ms unfreeze=0ms saved=True
|
|
[11:35] Execution complete (t=111.2s)
|
|
[11:35] Captured 7 unique frames over 111.36s
|
|
[11:35] [debug] iframes: 0
|
|
[11:35] [timing] trigger_3d_previews: 0.0s
|
|
[11:37] Saved high-quality screenshot: advanced_executed.png
|
|
[11:37] [timing] final_screenshot: 0.3s
|
|
[11:37] Capturing execution frames: advanced_3d.json
|
|
[11:44] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[11:44] Validating workflow...
|
|
[11:44] Queuing workflow for execution...
|
|
[11:46] Frame 2 saved (frame_001.jpg, t=2.2s)
|
|
[11:46] [capture-periodic] freeze=3ms shot=118ms unfreeze=6ms saved=True
|
|
[11:48] Frame 3 saved (frame_002.jpg, t=4.4s)
|
|
[11:48] [capture-periodic] freeze=3ms shot=96ms unfreeze=5ms saved=True
|
|
[11:50] [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (45%) swap=0.8/2.9GB (28%) cpu=48% browser_rss=0.71GB
|
|
[11:55] [capture-loop] iter=100 t=11.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=7.2/16.0GB (45%) swap=0.8/2.9GB (28%) cpu=58% browser_rss=0.71GB
|
|
[12:01] [capture-loop] iter=150 t=17.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.1/16.0GB (45%) swap=0.8/2.9GB (28%) cpu=58% browser_rss=0.71GB
|
|
[12:07] [capture-loop] iter=200 t=23.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (47%) swap=0.8/2.9GB (28%) cpu=60% browser_rss=0.71GB
|
|
[12:13] [capture-loop] iter=250 t=29.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.8/2.9GB (28%) cpu=62% browser_rss=0.63GB
|
|
[12:19] [capture-loop] iter=300 t=34.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (47%) swap=0.8/2.9GB (28%) cpu=63% browser_rss=0.62GB
|
|
[12:23] Frame 4 saved (frame_003.jpg, t=39.4s)
|
|
[12:23] [capture-periodic] freeze=4ms shot=111ms unfreeze=5ms saved=True
|
|
[12:24] [capture-loop] iter=350 t=40.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.9/16.0GB (43%) swap=0.8/2.9GB (28%) cpu=62% browser_rss=0.63GB
|
|
[12:26] Node executed (1 total), capturing...
|
|
[12:26] Frame 5 saved (frame_004.jpg, t=42.2s)
|
|
[12:26] [capture-node] freeze=4ms shot=100ms unfreeze=6ms saved=True
|
|
[12:26] Node executed (2 total), capturing...
|
|
[12:29] Frame 6 saved (frame_005.jpg, t=42.8s)
|
|
[12:29] [capture-node] freeze=11ms shot=1920ms unfreeze=0ms saved=True
|
|
[12:29] Execution complete (t=42.8s)
|
|
[12:29] Captured 6 unique frames over 44.74s
|
|
[12:29] [debug] iframes: 1
|
|
[12:29] [debug] iframe[0]: src=http://127.0.0.1:41891/extensions/ComfyUI-GeometryPack/viewer_vtk.html?v=1778843, canvas=486x394, rafFrozen=True
|
|
[12:29] [timing] trigger_3d_previews: 0.0s
|
|
[12:31] Saved high-quality screenshot: advanced_3d_executed.png
|
|
[12:31] [timing] final_screenshot: 0.2s
|
|
[12:32] Capturing execution frames: advanced_3d_multiview.json
|
|
[12:39] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[12:39] Validating workflow...
|
|
[12:39] Queuing workflow for execution...
|
|
[12:39] Node executed (1 total), capturing...
|
|
[12:40] Frame 2 saved (frame_001.jpg, t=0.6s)
|
|
[12:40] [capture-node] freeze=5ms shot=103ms unfreeze=6ms saved=True
|
|
[12:45] Frame 3 saved (frame_002.jpg, t=5.5s)
|
|
[12:45] [capture-periodic] freeze=4ms shot=130ms unfreeze=5ms saved=True
|
|
[12:46] [capture-loop] iter=50 t=7.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.9/16.0GB (43%) swap=0.9/2.9GB (32%) cpu=53% browser_rss=0.71GB
|
|
[12:52] [capture-loop] iter=100 t=13.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.8/16.0GB (43%) swap=0.9/2.9GB (32%) cpu=61% browser_rss=0.70GB
|
|
[12:58] [capture-loop] iter=150 t=18.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=1.0/2.9GB (36%) cpu=58% browser_rss=0.65GB
|
|
[13:04] [capture-loop] iter=200 t=24.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=1.0/2.9GB (36%) cpu=77% browser_rss=0.64GB
|
|
[13:09] [capture-loop] iter=250 t=30.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.4/16.0GB (40%) swap=1.2/2.9GB (41%) cpu=73% browser_rss=0.63GB
|
|
[13:15] [capture-loop] iter=300 t=36.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.5/16.0GB (47%) swap=1.2/2.9GB (41%) cpu=76% browser_rss=0.63GB
|
|
[13:21] [capture-loop] iter=350 t=42.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=1.3/2.9GB (46%) cpu=68% browser_rss=0.61GB
|
|
[13:27] [capture-loop] iter=400 t=47.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (52%) swap=1.3/2.9GB (46%) cpu=69% browser_rss=0.61GB
|
|
[13:33] [capture-loop] iter=450 t=53.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.6/16.0GB (48%) swap=1.3/2.9GB (46%) cpu=77% browser_rss=0.60GB
|
|
[13:39] [capture-loop] iter=500 t=59.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.0/16.0GB (44%) swap=1.3/2.9GB (45%) cpu=75% browser_rss=0.60GB
|
|
[13:44] [capture-loop] iter=550 t=65.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.6/16.0GB (41%) swap=1.3/2.9GB (45%) cpu=71% browser_rss=0.60GB
|
|
[13:50] [capture-loop] iter=600 t=71.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.4/16.0GB (40%) swap=1.3/2.9GB (45%) cpu=63% browser_rss=0.60GB
|
|
[13:56] [capture-loop] iter=650 t=77.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.7/16.0GB (42%) swap=1.3/2.9GB (45%) cpu=62% browser_rss=0.59GB
|
|
[14:02] [capture-loop] iter=700 t=82.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=1.3/2.9GB (45%) cpu=63% browser_rss=0.59GB
|
|
[14:07] [capture-loop] iter=750 t=88.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=1.3/2.9GB (45%) cpu=64% browser_rss=0.59GB
|
|
[14:13] [capture-loop] iter=800 t=94.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (48%) swap=1.3/2.9GB (45%) cpu=60% browser_rss=0.59GB
|
|
[14:19] [capture-loop] iter=850 t=99.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.2/16.0GB (39%) swap=1.3/2.9GB (45%) cpu=57% browser_rss=0.59GB
|
|
[14:25] [capture-loop] iter=900 t=105.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.3/16.0GB (40%) swap=1.3/2.9GB (45%) cpu=61% browser_rss=0.59GB
|
|
[14:31] [capture-loop] iter=950 t=111.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.8/16.0GB (42%) swap=1.3/2.9GB (45%) cpu=62% browser_rss=0.59GB
|
|
[14:36] [capture-loop] iter=1000 t=117.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.9/16.0GB (43%) swap=1.3/2.9GB (45%) cpu=64% browser_rss=0.58GB
|
|
[14:42] [capture-loop] iter=1050 t=123.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.1/16.0GB (44%) swap=1.4/2.9GB (50%) cpu=64% browser_rss=0.57GB
|
|
[14:48] [capture-loop] iter=1100 t=128.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.3/16.0GB (45%) swap=1.4/2.9GB (50%) cpu=63% browser_rss=0.55GB
|
|
[14:54] [capture-loop] iter=1150 t=134.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.9/16.0GB (43%) swap=1.4/2.9GB (49%) cpu=65% browser_rss=0.53GB
|
|
[14:59] [capture-loop] iter=1200 t=140.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.6/16.0GB (41%) swap=1.4/2.9GB (49%) cpu=65% browser_rss=0.53GB
|
|
[15:05] [capture-loop] iter=1250 t=146.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.4/16.0GB (40%) swap=1.4/2.9GB (49%) cpu=62% browser_rss=0.52GB
|
|
[15:11] [capture-loop] iter=1300 t=152.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (39%) swap=1.4/2.9GB (49%) cpu=77% browser_rss=0.51GB
|
|
[15:17] [capture-loop] iter=1350 t=157.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.1/16.0GB (38%) swap=1.5/2.9GB (54%) cpu=84% browser_rss=0.50GB
|
|
[15:23] [capture-loop] iter=1400 t=163.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.1/16.0GB (38%) swap=1.5/2.9GB (54%) cpu=84% browser_rss=0.48GB
|
|
[15:29] [capture-loop] iter=1450 t=169.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=1.5/2.9GB (54%) cpu=84% browser_rss=0.47GB
|
|
[15:34] [capture-loop] iter=1500 t=175.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=1.5/2.9GB (54%) cpu=82% browser_rss=0.46GB
|
|
[15:40] [capture-loop] iter=1550 t=181.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=1.5/2.9GB (54%) cpu=80% browser_rss=0.45GB
|
|
[15:46] [capture-loop] iter=1600 t=187.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.3/16.0GB (46%) swap=1.5/2.9GB (54%) cpu=69% browser_rss=0.44GB
|
|
[15:52] [capture-loop] iter=1650 t=192.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=1.7/2.9GB (58%) cpu=70% browser_rss=0.42GB
|
|
[15:56] Frame 4 saved (frame_003.jpg, t=197.0s)
|
|
[15:56] [capture-periodic] freeze=4ms shot=89ms unfreeze=3ms saved=True
|
|
[15:57] [capture-loop] iter=1700 t=198.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=5.8/16.0GB (36%) swap=1.7/2.9GB (58%) cpu=54% browser_rss=0.43GB
|
|
[15:58] Frame 5 saved (frame_004.jpg, t=199.2s)
|
|
[15:58] [capture-periodic] freeze=3ms shot=92ms unfreeze=3ms saved=True
|
|
[15:59] Node executed (3 total), capturing...
|
|
[15:59] Frame 6 saved (frame_005.jpg, t=200.1s)
|
|
[15:59] [capture-node] freeze=4ms shot=86ms unfreeze=3ms saved=True
|
|
[15:59] Node executed (4 total), capturing...
|
|
[16:00] Frame 7 saved (frame_006.jpg, t=200.6s)
|
|
[16:00] [capture-node] freeze=5ms shot=107ms unfreeze=0ms saved=True
|
|
[16:00] Execution complete (t=200.6s)
|
|
[16:00] Captured 7 unique frames over 200.76s
|
|
[16:00] [debug] iframes: 1
|
|
[16:00] [debug] iframe[0]: src=http://127.0.0.1:41891/extensions/ComfyUI-DepthAnythingV3/viewer_vtk.html?v=1778, canvas=486x430, rafFrozen=True
|
|
[16:00] [timing] trigger_3d_previews: 0.0s
|
|
[16:02] Saved high-quality screenshot: advanced_3d_multiview_executed.png
|
|
[16:02] [timing] final_screenshot: 0.2s
|
|
[16:02] [4/7] SKIPPED (not in cpu list) bas_relief.json
|
|
[16:03] [5/7] SKIPPED (not in cpu list) da3_streaming.json
|
|
[16:03] Capturing execution frames: simple.json
|
|
[16:09] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[16:09] Validating workflow...
|
|
[16:09] Queuing workflow for execution...
|
|
[16:11] Frame 2 saved (frame_001.jpg, t=2.2s)
|
|
[16:11] [capture-periodic] freeze=10ms shot=138ms unfreeze=5ms saved=True
|
|
[16:14] Frame 3 saved (frame_002.jpg, t=4.5s)
|
|
[16:14] [capture-periodic] freeze=4ms shot=139ms unfreeze=4ms saved=True
|
|
[16:15] [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (39%) swap=1.6/2.9GB (56%) cpu=44% browser_rss=0.64GB
|
|
[16:21] [capture-loop] iter=100 t=11.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.1/16.0GB (38%) swap=1.6/2.9GB (56%) cpu=70% browser_rss=0.64GB
|
|
[16:27] [capture-loop] iter=150 t=17.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.6/2.9GB (56%) cpu=68% browser_rss=0.64GB
|
|
[16:32] [capture-loop] iter=200 t=23.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.1/16.0GB (38%) swap=1.6/2.9GB (56%) cpu=69% browser_rss=0.63GB
|
|
[16:38] [capture-loop] iter=250 t=29.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=6.2/16.0GB (39%) swap=1.6/2.9GB (56%) cpu=75% browser_rss=0.54GB
|
|
[16:44] [capture-loop] iter=300 t=35.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.8/16.0GB (42%) swap=1.6/2.9GB (56%) cpu=72% browser_rss=0.54GB
|
|
[16:50] [capture-loop] iter=350 t=41.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.1/16.0GB (38%) swap=1.6/2.9GB (56%) cpu=70% browser_rss=0.54GB
|
|
[16:56] [capture-loop] iter=400 t=47.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=1.6/2.9GB (56%) cpu=71% browser_rss=0.54GB
|
|
[17:02] [capture-loop] iter=450 t=52.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=6.0/16.0GB (38%) swap=1.6/2.9GB (56%) cpu=69% browser_rss=0.54GB
|
|
[17:08] [capture-loop] iter=500 t=58.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (39%) swap=1.6/2.9GB (56%) cpu=72% browser_rss=0.54GB
|
|
[17:14] [capture-loop] iter=550 t=64.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.5/16.0GB (41%) swap=1.6/2.9GB (56%) cpu=68% browser_rss=0.54GB
|
|
[17:19] [capture-loop] iter=600 t=70.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.7/16.0GB (42%) swap=1.6/2.9GB (55%) cpu=66% browser_rss=0.54GB
|
|
[17:25] [capture-loop] iter=650 t=76.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.1/16.0GB (44%) swap=1.6/2.9GB (55%) cpu=71% browser_rss=0.54GB
|
|
[17:30] Node executed (1 total), capturing...
|
|
[17:30] Frame 4 saved (frame_003.jpg, t=80.9s)
|
|
[17:30] [capture-node] freeze=4ms shot=141ms unfreeze=0ms saved=True
|
|
[17:30] Execution complete (t=80.9s)
|
|
[17:30] Captured 4 unique frames over 81.06s
|
|
[17:30] [debug] iframes: 0
|
|
[17:30] [timing] trigger_3d_previews: 0.0s
|
|
[17:32] Saved high-quality screenshot: simple_executed.png
|
|
[17:32] [timing] final_screenshot: 0.2s
|
|
[17:33] [7/7] SKIPPED (not in cpu list) video_multiview_depth.json
|
|
[17:33] Results saved to D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\DepthAnythingV3-1106\dev\windows-portable-cpu\results.json
|
|
[17:33] Model report: 12 files, 1.5 GB -> D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\DepthAnythingV3-1106\dev\windows-portable-cpu\models.json
|
|
[17:33] Saved: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\DepthAnythingV3-1106\dev\windows-portable-cpu\index.html
|
|
[17:33] [EXECUTION] PASSED
|
|
[17:33]
|
|
windows_portable: PASSED
|
|
[17:33] Stopping ComfyUI server...
|