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Update dev/windows-portable-cpu

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comfy-test
2026-05-14 12:43:19 +00:00
parent e09006a01d
commit 16998fe6a3
69 changed files with 1046 additions and 1207 deletions
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dev/windows-portable-cpu/index.html
+7 -7
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File diff suppressed because one or more lines are too long
dev/windows-portable-cpu/logs/image_seg_point.log
+39 -46
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@@ -2,58 +2,51 @@ Capturing execution frames: image_seg_point.json
Frame 1 saved (frame_000.jpg, t=0.0s)
Validating workflow...
Queuing workflow for execution...
Frame 2 saved (frame_001.jpg, t=2.3s)
[capture-periodic] freeze=4ms shot=155ms unfreeze=6ms saved=True
Frame 2 saved (frame_001.jpg, t=2.4s)
[capture-periodic] freeze=5ms shot=118ms unfreeze=7ms saved=True
Frame 3 saved (frame_002.jpg, t=4.6s)
[capture-periodic] freeze=6ms shot=123ms unfreeze=5ms saved=True
[capture-periodic] freeze=4ms shot=118ms unfreeze=13ms saved=True
Node executed (1 total), capturing...
Frame 4 saved (frame_003.jpg, t=5.8s)
[capture-node] freeze=6ms shot=148ms unfreeze=3ms saved=True
[capture-loop] iter=50 t=6.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.1/16.0GB (38%) swap=0.2/2.9GB (7%) cpu=64% browser_rss=0.69GB
Frame 5 saved (frame_004.jpg, t=8.1s)
[capture-periodic] freeze=4ms shot=146ms unfreeze=4ms saved=True
[capture-node] freeze=4ms shot=126ms unfreeze=6ms saved=True
[capture-loop] iter=50 t=6.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=5.9/16.0GB (37%) swap=0.2/2.9GB (6%) cpu=36% browser_rss=0.69GB
Frame 5 saved (frame_004.jpg, t=8.0s)
[capture-periodic] freeze=4ms shot=135ms unfreeze=6ms saved=True
Frame 6 saved (frame_005.jpg, t=10.3s)
[capture-periodic] freeze=14ms shot=147ms unfreeze=4ms saved=True
[capture-loop] iter=100 t=12.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.8/16.0GB (42%) swap=0.4/2.9GB (13%) cpu=73% browser_rss=0.71GB
Frame 7 saved (frame_006.jpg, t=12.6s)
[capture-periodic] freeze=5ms shot=142ms unfreeze=9ms saved=True
Frame 8 saved (frame_007.jpg, t=14.9s)
[capture-periodic] freeze=17ms shot=166ms unfreeze=4ms saved=True
Frame 9 saved (frame_008.jpg, t=17.3s)
[capture-periodic] freeze=4ms shot=148ms unfreeze=7ms saved=True
[capture-loop] iter=150 t=18.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.4/16.0GB (46%) swap=0.4/2.9GB (13%) cpu=73% browser_rss=0.75GB
Frame 10 saved (frame_009.jpg, t=19.5s)
[capture-periodic] freeze=5ms shot=155ms unfreeze=8ms saved=True
Frame 11 saved (frame_010.jpg, t=21.9s)
[capture-periodic] freeze=4ms shot=247ms unfreeze=6ms saved=True
Frame 12 saved (frame_011.jpg, t=24.1s)
[capture-periodic] freeze=4ms shot=189ms unfreeze=7ms saved=True
[capture-loop] iter=200 t=25.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.8/16.0GB (49%) swap=0.4/2.9GB (13%) cpu=76% browser_rss=0.65GB
Frame 13 saved (frame_012.jpg, t=26.5s)
[capture-periodic] freeze=4ms shot=175ms unfreeze=6ms saved=True
Frame 14 saved (frame_013.jpg, t=28.8s)
[capture-periodic] freeze=2ms shot=119ms unfreeze=6ms saved=True
[capture-loop] iter=250 t=30.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=7.7/16.0GB (48%) swap=0.4/2.9GB (13%) cpu=64% browser_rss=0.65GB
[capture-loop] iter=300 t=36.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.6/16.0GB (48%) swap=0.4/2.9GB (13%) cpu=73% browser_rss=0.64GB
[capture-loop] iter=350 t=43.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=0.4/2.9GB (13%) cpu=86% browser_rss=0.63GB
[capture-loop] iter=400 t=48.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=8.0/16.0GB (50%) swap=0.4/2.9GB (13%) cpu=85% browser_rss=0.63GB
[capture-loop] iter=450 t=54.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=9 ram=5.9/16.0GB (37%) swap=1.1/2.9GB (37%) cpu=64% browser_rss=0.38GB
[capture-loop] iter=500 t=60.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=5.9/16.0GB (37%) swap=1.1/2.9GB (37%) cpu=64% browser_rss=0.38GB
[capture-loop] iter=550 t=66.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.1/16.0GB (38%) swap=1.0/2.9GB (36%) cpu=68% browser_rss=0.39GB
[capture-loop] iter=600 t=72.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.4/16.0GB (40%) swap=1.0/2.9GB (36%) cpu=79% browser_rss=0.39GB
[capture-loop] iter=650 t=78.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.3/16.0GB (39%) swap=1.0/2.9GB (36%) cpu=74% browser_rss=0.39GB
[capture-loop] iter=700 t=84.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.6/16.0GB (47%) swap=1.0/2.9GB (36%) cpu=79% browser_rss=0.39GB
[capture-loop] iter=750 t=90.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.5/16.0GB (41%) swap=1.0/2.9GB (35%) cpu=73% browser_rss=0.39GB
[capture-loop] iter=800 t=96.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.6/16.0GB (41%) swap=1.0/2.9GB (35%) cpu=75% browser_rss=0.40GB
[capture-loop] iter=850 t=102.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=10 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=83% browser_rss=0.40GB
[capture-loop] iter=900 t=108.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.9/16.0GB (43%) swap=1.0/2.9GB (35%) cpu=58% browser_rss=0.39GB
[capture-periodic] freeze=4ms shot=146ms unfreeze=5ms saved=True
Frame 7 saved (frame_006.jpg, t=12.5s)
[capture-periodic] freeze=5ms shot=149ms unfreeze=5ms saved=True
[capture-loop] iter=100 t=12.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.2/2.9GB (6%) cpu=58% browser_rss=0.70GB
Frame 8 saved (frame_007.jpg, t=14.7s)
[capture-periodic] freeze=6ms shot=163ms unfreeze=7ms saved=True
Frame 9 saved (frame_008.jpg, t=17.0s)
[capture-periodic] freeze=4ms shot=118ms unfreeze=8ms saved=True
[capture-loop] iter=150 t=19.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=7.4/16.0GB (46%) swap=0.2/2.9GB (6%) cpu=52% browser_rss=0.71GB
Frame 10 saved (frame_009.jpg, t=19.4s)
[capture-periodic] freeze=4ms shot=118ms unfreeze=4ms saved=True
[capture-loop] iter=200 t=27.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.5/16.0GB (41%) swap=0.2/2.9GB (6%) cpu=20% browser_rss=0.63GB
[capture-loop] iter=250 t=33.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.3/16.0GB (40%) swap=0.2/2.9GB (6%) cpu=22% browser_rss=0.63GB
[capture-loop] iter=300 t=38.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.3/16.0GB (39%) swap=0.2/2.9GB (6%) cpu=31% browser_rss=0.63GB
[capture-loop] iter=350 t=44.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=6.6/16.0GB (41%) swap=0.2/2.9GB (6%) cpu=70% browser_rss=0.62GB
[capture-loop] iter=400 t=51.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.5/16.0GB (47%) swap=0.2/2.9GB (6%) cpu=68% browser_rss=0.62GB
[capture-loop] iter=450 t=57.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.5/16.0GB (40%) swap=0.3/2.9GB (10%) cpu=76% browser_rss=0.60GB
[capture-loop] iter=500 t=63.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=6.7/16.0GB (42%) swap=0.3/2.9GB (10%) cpu=62% browser_rss=0.59GB
[capture-loop] iter=550 t=69.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=6.8/16.0GB (43%) swap=0.3/2.9GB (10%) cpu=86% browser_rss=0.59GB
[capture-loop] iter=600 t=75.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.0/16.0GB (44%) swap=0.3/2.9GB (10%) cpu=85% browser_rss=0.58GB
[capture-loop] iter=650 t=81.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.1/16.0GB (44%) swap=0.4/2.9GB (15%) cpu=87% browser_rss=0.57GB
[capture-loop] iter=700 t=87.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.2/16.0GB (45%) swap=0.4/2.9GB (15%) cpu=85% browser_rss=0.57GB
[capture-loop] iter=750 t=93.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.4/16.0GB (46%) swap=0.4/2.9GB (15%) cpu=69% browser_rss=0.56GB
[capture-loop] iter=800 t=99.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.7/16.0GB (48%) swap=0.4/2.9GB (15%) cpu=53% browser_rss=0.56GB
Node executed (2 total), capturing...
Frame 11 saved (frame_010.jpg, t=99.8s)
[capture-node] freeze=5ms shot=128ms unfreeze=17ms saved=True
Node executed (3 total), capturing...
Frame 15 saved (frame_014.jpg, t=111.6s)
[capture-node] freeze=4ms shot=136ms unfreeze=0ms saved=True
Execution complete (t=111.6s)
Captured 15 unique frames over 111.83s
Frame 12 saved (frame_011.jpg, t=100.2s)
[capture-node] freeze=4ms shot=121ms unfreeze=0ms saved=True
Execution complete (t=100.2s)
Captured 12 unique frames over 100.37s
[debug] iframes: 0
[timing] trigger_3d_previews: 0.0s
Saved high-quality screenshot: image_seg_point_executed.png
[timing] final_screenshot: 0.3s
Captured 16 video frames
Captured 13 video frames
dev/windows-portable-cpu/logs/image_seg_point_console.log
+1 -1
View File
@@ -9,8 +9,8 @@
[Console-error] Failed to load resource: the server responded with a status of 404 (Not Found)
[Console-log] [SAM3] ===== MULTI-REGION COLLECTOR VERSION 1 =====
[Console-warning] [ComfyUI Notice] "scripts/widgets.js" is an internal module, not part of the public API. Future updates may break this import.
[Console-log] [SAM3] ===== VERSION 8 - SERIALIZATION ENABLED =====
[Console-log] [SAM3] ===== BBOX COLLECTOR VERSION 1 =====
[Console-log] [SAM3] ===== VERSION 8 - SERIALIZATION ENABLED =====
[Console-warning] [ComfyUI Notice] "extensions/core/widgetInputs.js" is an internal module, not part of the public API. Future updates may break this import.
[Console-warning] [ComfyUI Notice] "scripts/utils.js" is an internal module, not part of the public API. Future updates may break this import.
[Console-warning] [MaskEditor] ComfyApp.open_maskeditor is deprecated. Plugins should migrate to using the command system or direct node context menu integration.
dev/windows-portable-cpu/logs/image_seg_point_resources.csv
+99 -110
View File
@@ -4,121 +4,110 @@ t,ram_gb,vram_gb
1.0,1.39,
2.0,1.39,
3.0,1.39,
4.1,1.39,
5.1,1.39,
4.0,1.39,
5.0,1.39,
6.1,1.39,
7.1,1.39,
8.1,1.39,
9.1,1.41,
10.1,1.83,
11.1,1.89,
12.1,1.94,
13.1,1.98,
14.1,2.02,
9.1,1.48,
10.1,1.89,
11.1,1.93,
12.1,1.97,
13.1,2.01,
14.1,2.05,
15.1,2.06,
16.1,2.06,
17.1,2.06,
18.2,2.06,
19.2,2.06,
20.2,2.06,
21.2,2.06,
22.2,2.06,
23.2,2.06,
24.2,2.06,
25.2,2.06,
26.2,2.06,
27.2,2.06,
28.2,2.06,
18.1,2.06,
19.1,2.06,
20.1,2.06,
21.1,2.06,
22.1,2.06,
23.1,2.06,
24.1,2.07,
25.2,2.07,
26.2,2.07,
27.2,2.07,
28.2,2.07,
29.2,2.07,
30.2,2.07,
31.3,2.07,
32.3,2.07,
33.3,2.07,
34.3,2.07,
35.3,2.07,
36.3,2.08,
37.3,2.07,
38.3,2.09,
39.3,2.11,
40.3,2.12,
41.3,2.13,
42.3,2.15,
43.3,2.18,
44.3,2.7,
45.4,2.39,
46.4,2.37,
47.4,2.44,
48.4,2.85,
49.4,2.52,
50.4,2.54,
51.4,2.58,
52.4,2.59,
53.4,2.57,
54.4,2.71,
55.5,3.07,
56.5,2.73,
57.5,3.5,
58.5,4.13,
59.5,2.77,
60.5,2.16,
61.5,2.18,
62.5,2.32,
63.5,2.27,
64.5,2.28,
65.5,2.26,
66.5,2.33,
67.6,2.31,
68.6,2.38,
69.6,2.53,
70.6,2.47,
71.6,2.52,
72.6,2.53,
73.6,3.35,
74.6,3.78,
75.6,2.87,
76.6,2.58,
77.6,2.47,
78.6,2.64,
79.6,2.65,
80.6,2.62,
81.6,2.7,
82.6,2.73,
83.7,2.96,
84.7,2.78,
85.7,2.81,
86.7,2.83,
87.7,2.86,
88.7,2.89,
89.7,2.9,
90.7,2.87,
91.7,4.11,
92.7,4.2,
93.7,2.97,
94.7,2.99,
95.7,3.01,
96.7,3.03,
97.8,3.28,
98.8,3.08,
99.8,3.31,
100.8,3.13,
101.8,3.16,
102.8,3.19,
103.8,3.2,
104.8,3.24,
105.8,3.26,
106.9,3.27,
107.9,3.23,
108.9,3.3,
109.9,3.27,
110.9,4.93,
111.9,4.14,
112.9,3.35,
113.9,3.25,
114.9,3.27,
115.9,3.38,
116.9,3.51,
117.9,3.64,
118.9,3.69,
119.9,3.4,
121.0,3.46,
122.0,3.46,
31.2,2.08,
32.2,2.09,
33.2,2.09,
34.2,2.11,
35.2,2.11,
36.2,2.12,
37.2,2.12,
38.2,2.14,
39.2,2.13,
40.2,2.12,
41.2,2.12,
42.2,2.12,
43.2,2.13,
44.2,2.14,
45.2,2.15,
46.2,2.17,
47.2,2.21,
48.3,2.61,
49.3,2.41,
50.3,2.47,
51.3,2.44,
52.3,2.54,
53.3,2.57,
54.3,2.54,
55.3,2.66,
56.3,2.67,
57.3,2.64,
58.3,2.74,
59.3,3.58,
60.3,4.0,
61.3,2.77,
62.3,2.71,
63.3,2.81,
64.4,3.07,
65.4,2.84,
66.4,2.93,
67.4,2.95,
68.4,2.95,
69.4,3.03,
70.4,3.05,
71.4,3.22,
72.4,3.06,
73.4,5.06,
74.4,3.34,
75.4,3.14,
76.4,3.16,
77.4,3.58,
78.4,3.21,
79.5,3.26,
80.5,3.28,
81.5,3.28,
82.5,3.37,
83.5,3.32,
84.5,3.37,
85.5,3.47,
86.5,4.57,
87.5,4.73,
88.5,3.48,
89.5,3.77,
90.5,3.57,
91.5,3.59,
92.5,3.85,
93.5,3.61,
94.6,3.73,
95.6,3.6,
96.6,3.71,
97.6,3.81,
98.6,3.83,
99.6,4.13,
100.6,5.11,
101.6,3.74,
102.6,3.77,
103.6,3.87,
104.6,3.99,
105.6,4.05,
106.6,4.2,
107.6,4.13,
108.6,3.9,
109.6,3.9,
110.6,3.9,
1 # total_ram_gb=16.0
4 1.0,1.39,
5 2.0,1.39,
6 3.0,1.39,
7 4.1,1.39, 4.0,1.39,
8 5.1,1.39, 5.0,1.39,
9 6.1,1.39,
10 7.1,1.39,
11 8.1,1.39,
12 9.1,1.41, 9.1,1.48,
13 10.1,1.83, 10.1,1.89,
14 11.1,1.89, 11.1,1.93,
15 12.1,1.94, 12.1,1.97,
16 13.1,1.98, 13.1,2.01,
17 14.1,2.02, 14.1,2.05,
18 15.1,2.06,
19 16.1,2.06,
20 17.1,2.06,
21 18.2,2.06, 18.1,2.06,
22 19.2,2.06, 19.1,2.06,
23 20.2,2.06, 20.1,2.06,
24 21.2,2.06, 21.1,2.06,
25 22.2,2.06, 22.1,2.06,
26 23.2,2.06, 23.1,2.06,
27 24.2,2.06, 24.1,2.07,
28 25.2,2.06, 25.2,2.07,
29 26.2,2.06, 26.2,2.07,
30 27.2,2.06, 27.2,2.07,
31 28.2,2.06, 28.2,2.07,
32 29.2,2.07,
33 30.2,2.07,
34 31.3,2.07, 31.2,2.08,
35 32.3,2.07, 32.2,2.09,
36 33.3,2.07, 33.2,2.09,
37 34.3,2.07, 34.2,2.11,
38 35.3,2.07, 35.2,2.11,
39 36.3,2.08, 36.2,2.12,
40 37.3,2.07, 37.2,2.12,
41 38.3,2.09, 38.2,2.14,
42 39.3,2.11, 39.2,2.13,
43 40.3,2.12, 40.2,2.12,
44 41.3,2.13, 41.2,2.12,
45 42.3,2.15, 42.2,2.12,
46 43.3,2.18, 43.2,2.13,
47 44.3,2.7, 44.2,2.14,
48 45.4,2.39, 45.2,2.15,
49 46.4,2.37, 46.2,2.17,
50 47.4,2.44, 47.2,2.21,
51 48.4,2.85, 48.3,2.61,
52 49.4,2.52, 49.3,2.41,
53 50.4,2.54, 50.3,2.47,
54 51.4,2.58, 51.3,2.44,
55 52.4,2.59, 52.3,2.54,
56 53.4,2.57, 53.3,2.57,
57 54.4,2.71, 54.3,2.54,
58 55.5,3.07, 55.3,2.66,
59 56.5,2.73, 56.3,2.67,
60 57.5,3.5, 57.3,2.64,
61 58.5,4.13, 58.3,2.74,
62 59.5,2.77, 59.3,3.58,
63 60.5,2.16, 60.3,4.0,
64 61.5,2.18, 61.3,2.77,
65 62.5,2.32, 62.3,2.71,
66 63.5,2.27, 63.3,2.81,
67 64.5,2.28, 64.4,3.07,
68 65.5,2.26, 65.4,2.84,
69 66.5,2.33, 66.4,2.93,
70 67.6,2.31, 67.4,2.95,
71 68.6,2.38, 68.4,2.95,
72 69.6,2.53, 69.4,3.03,
73 70.6,2.47, 70.4,3.05,
74 71.6,2.52, 71.4,3.22,
75 72.6,2.53, 72.4,3.06,
76 73.6,3.35, 73.4,5.06,
77 74.6,3.78, 74.4,3.34,
78 75.6,2.87, 75.4,3.14,
79 76.6,2.58, 76.4,3.16,
80 77.6,2.47, 77.4,3.58,
81 78.6,2.64, 78.4,3.21,
82 79.6,2.65, 79.5,3.26,
83 80.6,2.62, 80.5,3.28,
84 81.6,2.7, 81.5,3.28,
85 82.6,2.73, 82.5,3.37,
86 83.7,2.96, 83.5,3.32,
87 84.7,2.78, 84.5,3.37,
88 85.7,2.81, 85.5,3.47,
89 86.7,2.83, 86.5,4.57,
90 87.7,2.86, 87.5,4.73,
91 88.7,2.89, 88.5,3.48,
92 89.7,2.9, 89.5,3.77,
93 90.7,2.87, 90.5,3.57,
94 91.7,4.11, 91.5,3.59,
95 92.7,4.2, 92.5,3.85,
96 93.7,2.97, 93.5,3.61,
97 94.7,2.99, 94.6,3.73,
98 95.7,3.01, 95.6,3.6,
99 96.7,3.03, 96.6,3.71,
100 97.8,3.28, 97.6,3.81,
101 98.8,3.08, 98.6,3.83,
102 99.8,3.31, 99.6,4.13,
103 100.8,3.13, 100.6,5.11,
104 101.8,3.16, 101.6,3.74,
105 102.8,3.19, 102.6,3.77,
106 103.8,3.2, 103.6,3.87,
107 104.8,3.24, 104.6,3.99,
108 105.8,3.26, 105.6,4.05,
109 106.9,3.27, 106.6,4.2,
110 107.9,3.23, 107.6,4.13,
111 108.9,3.3, 108.6,3.9,
112 109.9,3.27, 109.6,3.9,
113 110.9,4.93, 110.6,3.9,
111.9,4.14,
112.9,3.35,
113.9,3.25,
114.9,3.27,
115.9,3.38,
116.9,3.51,
117.9,3.64,
118.9,3.69,
119.9,3.4,
121.0,3.46,
122.0,3.46,
dev/windows-portable-cpu/logs/image_seg_text.log
+22 -33
View File
@@ -2,42 +2,31 @@ Capturing execution frames: image_seg_text.json
Frame 1 saved (frame_000.jpg, t=0.0s)
Validating workflow...
Queuing workflow for execution...
Frame 2 saved (frame_001.jpg, t=2.4s)
[capture-periodic] freeze=5ms shot=116ms unfreeze=4ms saved=True
Frame 3 saved (frame_002.jpg, t=4.6s)
[capture-periodic] freeze=3ms shot=100ms unfreeze=3ms saved=True
[capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=4.5/16.0GB (28%) swap=0.9/2.9GB (31%) cpu=42% browser_rss=0.60GB
[capture-loop] iter=100 t=11.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=4.9/16.0GB (31%) swap=0.9/2.9GB (31%) cpu=20% browser_rss=0.59GB
[capture-loop] iter=150 t=17.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.1/16.0GB (32%) swap=0.9/2.9GB (31%) cpu=23% browser_rss=0.59GB
Frame 4 saved (frame_003.jpg, t=17.5s)
[capture-periodic] freeze=3ms shot=103ms unfreeze=6ms saved=True
Frame 5 saved (frame_004.jpg, t=19.6s)
[capture-periodic] freeze=3ms shot=131ms unfreeze=5ms saved=True
[capture-loop] iter=200 t=23.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=0.9/2.9GB (31%) cpu=48% browser_rss=0.59GB
[capture-loop] iter=250 t=28.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.5/16.0GB (35%) swap=0.9/2.9GB (31%) cpu=59% browser_rss=0.51GB
[capture-loop] iter=300 t=34.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.9/2.9GB (31%) cpu=59% browser_rss=0.51GB
[capture-loop] iter=350 t=40.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=115 ram=6.0/16.0GB (37%) swap=0.9/2.9GB (31%) cpu=69% browser_rss=0.51GB
[capture-loop] iter=400 t=55.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.9/16.0GB (37%) swap=1.1/2.9GB (39%) cpu=98% browser_rss=0.50GB
[capture-loop] iter=450 t=61.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (38%) swap=1.1/2.9GB (39%) cpu=80% browser_rss=0.50GB
[capture-loop] iter=500 t=67.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (39%) swap=1.1/2.9GB (39%) cpu=78% browser_rss=0.50GB
[capture-loop] iter=550 t=73.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=21 ram=6.4/16.0GB (40%) swap=1.1/2.9GB (39%) cpu=85% browser_rss=0.50GB
[capture-loop] iter=600 t=79.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.4/16.0GB (40%) swap=1.1/2.9GB (39%) cpu=86% browser_rss=0.50GB
[capture-loop] iter=650 t=85.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.5/16.0GB (41%) swap=1.1/2.9GB (39%) cpu=77% browser_rss=0.49GB
[capture-loop] iter=700 t=91.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.7/16.0GB (42%) swap=1.1/2.9GB (39%) cpu=76% browser_rss=0.48GB
[capture-loop] iter=750 t=97.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.8/16.0GB (43%) swap=1.1/2.9GB (39%) cpu=81% browser_rss=0.48GB
[capture-loop] iter=800 t=102.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.1/2.9GB (39%) cpu=73% browser_rss=0.48GB
[capture-loop] iter=850 t=108.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.4/16.0GB (52%) swap=1.1/2.9GB (39%) cpu=76% browser_rss=0.48GB
[capture-loop] iter=900 t=114.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.3/16.0GB (52%) swap=1.2/2.9GB (42%) cpu=88% browser_rss=0.48GB
Frame 2 saved (frame_001.jpg, t=2.2s)
[capture-periodic] freeze=5ms shot=125ms unfreeze=5ms saved=True
Frame 3 saved (frame_002.jpg, t=4.5s)
[capture-periodic] freeze=6ms shot=139ms unfreeze=6ms saved=True
[capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (38%) swap=0.4/2.9GB (15%) cpu=35% browser_rss=0.61GB
[capture-loop] iter=100 t=11.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.2/16.0GB (39%) swap=0.4/2.9GB (15%) cpu=62% browser_rss=0.60GB
[capture-loop] iter=150 t=17.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.4/2.9GB (15%) cpu=64% browser_rss=0.60GB
[capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.5/16.0GB (41%) swap=0.4/2.9GB (15%) cpu=60% browser_rss=0.59GB
[capture-loop] iter=250 t=29.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=6.5/16.0GB (40%) swap=0.6/2.9GB (20%) cpu=65% browser_rss=0.52GB
[capture-loop] iter=300 t=35.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.7/16.0GB (42%) swap=0.6/2.9GB (20%) cpu=62% browser_rss=0.52GB
[capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.6/2.9GB (20%) cpu=63% browser_rss=0.51GB
[capture-loop] iter=400 t=47.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.1/16.0GB (44%) swap=0.6/2.9GB (20%) cpu=61% browser_rss=0.51GB
[capture-loop] iter=450 t=53.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.7/2.9GB (24%) cpu=63% browser_rss=0.50GB
[capture-loop] iter=500 t=59.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (52%) swap=0.7/2.9GB (24%) cpu=45% browser_rss=0.50GB
[capture-loop] iter=550 t=64.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=9.1/16.0GB (57%) swap=0.7/2.9GB (24%) cpu=74% browser_rss=0.50GB
Node executed (1 total), capturing...
Frame 6 saved (frame_005.jpg, t=120.1s)
[capture-node] freeze=6ms shot=115ms unfreeze=4ms saved=True
Frame 4 saved (frame_003.jpg, t=68.8s)
[capture-node] freeze=6ms shot=110ms unfreeze=5ms saved=True
Node executed (2 total), capturing...
Frame 7 saved (frame_006.jpg, t=120.5s)
[capture-node] freeze=4ms shot=122ms unfreeze=0ms saved=True
Execution complete (t=120.5s)
Captured 7 unique frames over 120.68s
Frame 5 saved (frame_004.jpg, t=69.2s)
[capture-node] freeze=4ms shot=109ms unfreeze=0ms saved=True
Execution complete (t=69.2s)
Captured 5 unique frames over 69.3s
[debug] iframes: 0
[timing] trigger_3d_previews: 0.0s
Saved high-quality screenshot: image_seg_text_executed.png
[timing] final_screenshot: 0.2s
Captured 8 video frames
Captured 6 video frames
dev/windows-portable-cpu/logs/image_seg_text_console.log
+1 -1
View File
@@ -7,9 +7,9 @@
[Console-error] Failed to load resource: the server responded with a status of 404 (Not Found)
[Console-error] Failed to load resource: the server responded with a status of 404 (Not Found)
[Console-error] Failed to load resource: the server responded with a status of 404 (Not Found)
[Console-log] [SAM3] ===== MULTI-REGION COLLECTOR VERSION 1 =====
[Console-warning] [ComfyUI Notice] "scripts/widgets.js" is an internal module, not part of the public API. Future updates may break this import.
[Console-log] [SAM3] ===== BBOX COLLECTOR VERSION 1 =====
[Console-log] [SAM3] ===== MULTI-REGION COLLECTOR VERSION 1 =====
[Console-log] [SAM3] ===== VERSION 8 - SERIALIZATION ENABLED =====
[Console-warning] [ComfyUI Notice] "extensions/core/widgetInputs.js" is an internal module, not part of the public API. Future updates may break this import.
[Console-warning] [ComfyUI Notice] "scripts/utils.js" is an internal module, not part of the public API. Future updates may break this import.
dev/windows-portable-cpu/logs/image_seg_text_resources.csv
+78 -124
View File
@@ -1,126 +1,80 @@
# total_ram_gb=16.0
t,ram_gb,vram_gb
0.0,3.44,
1.0,3.44,
2.0,3.44,
3.0,3.43,
4.0,3.43,
5.0,3.42,
6.0,3.42,
7.0,0.83,
8.0,0.83,
9.0,0.83,
10.1,0.83,
11.1,0.84,
12.1,0.86,
13.1,1.17,
14.1,1.28,
15.1,1.28,
16.1,1.29,
17.1,1.3,
18.1,1.32,
19.1,1.31,
20.1,1.33,
21.1,1.35,
22.1,1.39,
23.1,1.39,
24.1,1.41,
25.1,1.45,
26.1,1.63,
27.1,1.74,
28.1,1.76,
29.1,1.74,
30.1,1.84,
31.1,1.87,
32.2,1.84,
33.2,1.93,
34.2,1.84,
35.2,1.93,
36.2,2.03,
37.2,2.68,
38.2,3.29,
39.2,2.06,
40.2,2.09,
41.2,2.1,
42.2,2.51,
43.2,2.19,
44.2,2.21,
45.2,2.18,
46.2,2.25,
48.0,2.28,
49.1,2.28,
53.2,2.28,
54.4,2.28,
55.5,2.28,
56.6,2.14,
57.7,2.22,
58.8,2.29,
59.8,2.27,
60.8,2.34,
61.8,2.38,
62.8,2.39,
63.8,2.35,
64.8,3.59,
65.8,3.68,
66.8,2.76,
67.8,2.47,
68.8,2.5,
69.8,2.52,
70.9,2.54,
71.9,2.58,
72.9,2.59,
73.9,2.56,
74.9,2.64,
75.9,2.76,
76.9,2.72,
77.9,2.99,
78.9,2.74,
80.0,2.78,
81.0,3.01,
82.0,2.79,
83.0,2.81,
84.0,4.87,
85.0,2.91,
86.0,2.84,
87.0,2.82,
88.0,2.89,
89.0,3.04,
90.0,2.97,
91.0,3.13,
92.0,3.03,
93.1,3.04,
94.1,2.98,
95.1,3.09,
96.1,3.07,
97.1,3.14,
98.1,3.36,
99.1,3.22,
100.1,3.68,
101.1,5.56,
102.1,3.33,
103.1,3.24,
104.1,3.18,
105.1,3.29,
106.2,3.42,
107.2,3.5,
108.2,3.49,
109.2,3.72,
110.2,3.96,
111.2,4.2,
112.2,4.4,
113.2,4.59,
114.2,5.56,
115.2,4.7,
116.2,5.31,
117.2,5.27,
118.3,4.85,
119.3,5.32,
120.3,5.28,
121.3,4.72,
122.3,5.33,
123.3,4.73,
124.3,4.86,
125.3,4.87,
126.3,4.53,
127.3,4.54,
128.3,4.54,
0.0,3.88,
1.0,3.88,
2.0,3.88,
3.0,3.87,
4.0,3.87,
5.0,3.87,
6.0,3.86,
7.0,3.88,
8.0,2.08,
9.0,2.3,
10.1,2.15,
11.1,2.26,
12.1,2.35,
13.1,2.38,
14.1,2.58,
15.1,2.46,
16.1,2.47,
17.1,2.46,
18.1,2.49,
19.1,4.8,
20.1,2.86,
21.1,2.58,
22.1,2.59,
23.1,2.63,
24.1,2.82,
25.1,2.64,
26.1,2.73,
27.1,2.75,
28.2,2.78,
29.2,2.88,
30.2,2.87,
31.2,4.18,
32.2,2.87,
33.2,2.88,
34.2,2.9,
35.2,2.88,
36.2,2.88,
37.2,3.03,
38.2,3.04,
39.2,3.3,
40.2,3.12,
41.2,3.12,
42.2,3.17,
43.2,3.53,
44.2,4.44,
45.3,3.2,
46.3,3.17,
47.3,3.27,
48.3,3.31,
49.3,3.32,
50.3,3.57,
51.3,3.28,
52.3,3.43,
53.3,3.46,
54.3,3.43,
55.3,3.53,
56.3,5.26,
57.3,3.94,
58.3,3.57,
59.3,3.56,
60.3,3.7,
61.3,3.82,
62.3,3.83,
63.3,4.33,
64.4,4.67,
65.4,5.61,
66.4,4.98,
67.4,5.07,
68.4,5.1,
69.4,5.16,
70.4,4.92,
71.4,5.23,
72.4,4.98,
73.4,5.17,
74.4,4.71,
75.4,4.71,
76.4,4.71,
77.4,4.71,
1 # total_ram_gb=16.0
2 t,ram_gb,vram_gb
3 0.0,3.44, 0.0,3.88,
4 1.0,3.44, 1.0,3.88,
5 2.0,3.44, 2.0,3.88,
6 3.0,3.43, 3.0,3.87,
7 4.0,3.43, 4.0,3.87,
8 5.0,3.42, 5.0,3.87,
9 6.0,3.42, 6.0,3.86,
10 7.0,0.83, 7.0,3.88,
11 8.0,0.83, 8.0,2.08,
12 9.0,0.83, 9.0,2.3,
13 10.1,0.83, 10.1,2.15,
14 11.1,0.84, 11.1,2.26,
15 12.1,0.86, 12.1,2.35,
16 13.1,1.17, 13.1,2.38,
17 14.1,1.28, 14.1,2.58,
18 15.1,1.28, 15.1,2.46,
19 16.1,1.29, 16.1,2.47,
20 17.1,1.3, 17.1,2.46,
21 18.1,1.32, 18.1,2.49,
22 19.1,1.31, 19.1,4.8,
23 20.1,1.33, 20.1,2.86,
24 21.1,1.35, 21.1,2.58,
25 22.1,1.39, 22.1,2.59,
26 23.1,1.39, 23.1,2.63,
27 24.1,1.41, 24.1,2.82,
28 25.1,1.45, 25.1,2.64,
29 26.1,1.63, 26.1,2.73,
30 27.1,1.74, 27.1,2.75,
31 28.1,1.76, 28.2,2.78,
32 29.1,1.74, 29.2,2.88,
33 30.1,1.84, 30.2,2.87,
34 31.1,1.87, 31.2,4.18,
35 32.2,1.84, 32.2,2.87,
36 33.2,1.93, 33.2,2.88,
37 34.2,1.84, 34.2,2.9,
38 35.2,1.93, 35.2,2.88,
39 36.2,2.03, 36.2,2.88,
40 37.2,2.68, 37.2,3.03,
41 38.2,3.29, 38.2,3.04,
42 39.2,2.06, 39.2,3.3,
43 40.2,2.09, 40.2,3.12,
44 41.2,2.1, 41.2,3.12,
45 42.2,2.51, 42.2,3.17,
46 43.2,2.19, 43.2,3.53,
47 44.2,2.21, 44.2,4.44,
48 45.2,2.18, 45.3,3.2,
49 46.2,2.25, 46.3,3.17,
50 48.0,2.28, 47.3,3.27,
51 49.1,2.28, 48.3,3.31,
52 53.2,2.28, 49.3,3.32,
53 54.4,2.28, 50.3,3.57,
54 55.5,2.28, 51.3,3.28,
55 56.6,2.14, 52.3,3.43,
56 57.7,2.22, 53.3,3.46,
57 58.8,2.29, 54.3,3.43,
58 59.8,2.27, 55.3,3.53,
59 60.8,2.34, 56.3,5.26,
60 61.8,2.38, 57.3,3.94,
61 62.8,2.39, 58.3,3.57,
62 63.8,2.35, 59.3,3.56,
63 64.8,3.59, 60.3,3.7,
64 65.8,3.68, 61.3,3.82,
65 66.8,2.76, 62.3,3.83,
66 67.8,2.47, 63.3,4.33,
67 68.8,2.5, 64.4,4.67,
68 69.8,2.52, 65.4,5.61,
69 70.9,2.54, 66.4,4.98,
70 71.9,2.58, 67.4,5.07,
71 72.9,2.59, 68.4,5.1,
72 73.9,2.56, 69.4,5.16,
73 74.9,2.64, 70.4,4.92,
74 75.9,2.76, 71.4,5.23,
75 76.9,2.72, 72.4,4.98,
76 77.9,2.99, 73.4,5.17,
77 78.9,2.74, 74.4,4.71,
78 80.0,2.78, 75.4,4.71,
79 81.0,3.01, 76.4,4.71,
80 82.0,2.79, 77.4,4.71,
83.0,2.81,
84.0,4.87,
85.0,2.91,
86.0,2.84,
87.0,2.82,
88.0,2.89,
89.0,3.04,
90.0,2.97,
91.0,3.13,
92.0,3.03,
93.1,3.04,
94.1,2.98,
95.1,3.09,
96.1,3.07,
97.1,3.14,
98.1,3.36,
99.1,3.22,
100.1,3.68,
101.1,5.56,
102.1,3.33,
103.1,3.24,
104.1,3.18,
105.1,3.29,
106.2,3.42,
107.2,3.5,
108.2,3.49,
109.2,3.72,
110.2,3.96,
111.2,4.2,
112.2,4.4,
113.2,4.59,
114.2,5.56,
115.2,4.7,
116.2,5.31,
117.2,5.27,
118.3,4.85,
119.3,5.32,
120.3,5.28,
121.3,4.72,
122.3,5.33,
123.3,4.73,
124.3,4.86,
125.3,4.87,
126.3,4.53,
127.3,4.54,
128.3,4.54,
dev/windows-portable-cpu/logs/scene_seg.log
+37 -40
View File
@@ -2,52 +2,49 @@ Capturing execution frames: scene_seg.json
Frame 1 saved (frame_000.jpg, t=0.0s)
Validating workflow...
Queuing workflow for execution...
Frame 2 saved (frame_001.jpg, t=2.2s)
[capture-periodic] freeze=4ms shot=111ms unfreeze=8ms saved=True
Frame 2 saved (frame_001.jpg, t=2.3s)
[capture-periodic] freeze=5ms shot=100ms unfreeze=4ms saved=True
Frame 3 saved (frame_002.jpg, t=4.5s)
[capture-periodic] freeze=3ms shot=119ms unfreeze=4ms saved=True
[capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=1.2/2.9GB (41%) cpu=61% browser_rss=0.92GB
[capture-periodic] freeze=4ms shot=105ms unfreeze=4ms saved=True
[capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=35% browser_rss=0.95GB
[capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=16% browser_rss=0.94GB
[capture-loop] iter=150 t=17.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.6/2.9GB (22%) cpu=15% browser_rss=0.93GB
Node executed (1 total), capturing...
Frame 4 saved (frame_003.jpg, t=8.5s)
[capture-node] freeze=7ms shot=282ms unfreeze=4ms saved=True
[capture-loop] iter=100 t=12.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.4/16.0GB (40%) swap=1.2/2.9GB (41%) cpu=73% browser_rss=1.39GB
[capture-loop] iter=150 t=18.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.7/16.0GB (42%) swap=1.2/2.9GB (41%) cpu=85% browser_rss=1.38GB
[capture-loop] iter=200 t=24.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=86% browser_rss=1.32GB
[capture-loop] iter=250 t=30.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.32GB
[capture-loop] iter=300 t=37.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.2/16.0GB (45%) swap=1.2/2.9GB (41%) cpu=87% browser_rss=1.43GB
[capture-loop] iter=350 t=43.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.0/16.0GB (50%) swap=1.2/2.9GB (41%) cpu=81% browser_rss=1.37GB
[capture-loop] iter=400 t=49.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.37GB
[capture-loop] iter=450 t=55.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB
[capture-loop] iter=500 t=61.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=9.6/16.0GB (60%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB
[capture-loop] iter=550 t=67.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (48%) swap=1.3/2.9GB (44%) cpu=80% browser_rss=1.37GB
[capture-loop] iter=600 t=73.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.8/16.0GB (49%) swap=1.3/2.9GB (44%) cpu=77% browser_rss=1.37GB
[capture-loop] iter=650 t=79.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=10.4/16.0GB (65%) swap=1.3/2.9GB (44%) cpu=81% browser_rss=1.37GB
[capture-loop] iter=700 t=85.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (52%) swap=1.3/2.9GB (44%) cpu=83% browser_rss=1.37GB
Frame 5 saved (frame_004.jpg, t=88.2s)
[capture-periodic] freeze=11ms shot=192ms unfreeze=15ms saved=True
Frame 6 saved (frame_005.jpg, t=90.5s)
[capture-periodic] freeze=4ms shot=225ms unfreeze=15ms saved=True
[capture-loop] iter=750 t=91.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=9.8/16.0GB (61%) swap=1.3/2.9GB (44%) cpu=93% browser_rss=1.38GB
Frame 7 saved (frame_006.jpg, t=92.8s)
[capture-periodic] freeze=4ms shot=196ms unfreeze=6ms saved=True
[capture-loop] iter=800 t=98.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=21 ram=10.9/16.0GB (68%) swap=1.3/2.9GB (44%) cpu=96% browser_rss=1.38GB
[capture-loop] iter=850 t=104.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.6/16.0GB (60%) swap=1.3/2.9GB (44%) cpu=95% browser_rss=1.37GB
Frame 8 saved (frame_007.jpg, t=106.6s)
[capture-periodic] freeze=4ms shot=169ms unfreeze=5ms saved=True
[capture-loop] iter=900 t=110.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=9.4/16.0GB (59%) swap=1.3/2.9GB (44%) cpu=59% browser_rss=1.37GB
Frame 4 saved (frame_003.jpg, t=20.6s)
[capture-node] freeze=60ms shot=198ms unfreeze=7ms saved=True
[capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.8/2.9GB (28%) cpu=38% browser_rss=1.50GB
[capture-loop] iter=250 t=30.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.43GB
[capture-loop] iter=300 t=36.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.8/2.9GB (28%) cpu=68% browser_rss=1.42GB
[capture-loop] iter=350 t=42.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.42GB
[capture-loop] iter=400 t=48.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.1/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=62% browser_rss=1.35GB
[capture-loop] iter=450 t=54.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=0.8/2.9GB (27%) cpu=69% browser_rss=1.35GB
[capture-loop] iter=500 t=60.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.8/2.9GB (27%) cpu=64% browser_rss=1.35GB
[capture-loop] iter=550 t=66.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.5/16.0GB (47%) swap=0.9/2.9GB (32%) cpu=68% browser_rss=1.35GB
[capture-loop] iter=600 t=72.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.7/16.0GB (48%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.35GB
[capture-loop] iter=650 t=78.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.4/16.0GB (59%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.34GB
[capture-loop] iter=700 t=84.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (51%) swap=0.9/2.9GB (32%) cpu=67% browser_rss=1.34GB
Frame 5 saved (frame_004.jpg, t=86.7s)
[capture-periodic] freeze=6ms shot=178ms unfreeze=11ms saved=True
Frame 6 saved (frame_005.jpg, t=88.9s)
[capture-periodic] freeze=5ms shot=180ms unfreeze=16ms saved=True
[capture-loop] iter=750 t=90.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=10.9/16.0GB (68%) swap=0.9/2.9GB (32%) cpu=82% browser_rss=1.35GB
[capture-loop] iter=800 t=96.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.9/16.0GB (62%) swap=0.9/2.9GB (32%) cpu=76% browser_rss=1.35GB
Frame 7 saved (frame_006.jpg, t=98.1s)
[capture-periodic] freeze=5ms shot=150ms unfreeze=13ms saved=True
Node executed (2 total), capturing...
Frame 9 saved (frame_008.jpg, t=112.2s)
[capture-node] freeze=5ms shot=164ms unfreeze=4ms saved=True
Frame 8 saved (frame_007.jpg, t=99.8s)
[capture-node] freeze=6ms shot=696ms unfreeze=8ms saved=True
[capture-loop] iter=850 t=103.8s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=5 ram=9.6/16.0GB (60%) swap=0.9/2.9GB (32%) cpu=47% browser_rss=1.80GB
Node executed (3 total), capturing...
Frame 10 saved (frame_009.jpg, t=113.8s)
[capture-node] freeze=62ms shot=208ms unfreeze=20ms saved=True
Frame 9 saved (frame_008.jpg, t=105.4s)
[capture-node] freeze=629ms shot=223ms unfreeze=16ms saved=True
Node executed (4 total), capturing...
Frame 11 saved (frame_010.jpg, t=115.1s)
[capture-node] freeze=5ms shot=229ms unfreeze=10ms saved=True
Execution complete (t=115.5s)
Captured 11 unique frames over 115.48s
Frame 10 saved (frame_009.jpg, t=106.6s)
[capture-node] freeze=28ms shot=220ms unfreeze=39ms saved=True
Execution complete (t=107.1s)
Captured 10 unique frames over 107.24s
[debug] iframes: 0
[timing] trigger_3d_previews: 0.0s
Saved high-quality screenshot: scene_seg_executed.png
[timing] final_screenshot: 0.3s
Captured 12 video frames
Captured 11 video frames
dev/windows-portable-cpu/logs/scene_seg_console.log
+1 -1
View File
@@ -7,9 +7,9 @@
[Console-error] Failed to load resource: the server responded with a status of 404 (Not Found)
[Console-error] Failed to load resource: the server responded with a status of 404 (Not Found)
[Console-error] Failed to load resource: the server responded with a status of 404 (Not Found)
[Console-log] [SAM3] ===== MULTI-REGION COLLECTOR VERSION 1 =====
[Console-warning] [ComfyUI Notice] "scripts/widgets.js" is an internal module, not part of the public API. Future updates may break this import.
[Console-log] [SAM3] ===== BBOX COLLECTOR VERSION 1 =====
[Console-log] [SAM3] ===== MULTI-REGION COLLECTOR VERSION 1 =====
[Console-log] [SAM3] ===== VERSION 8 - SERIALIZATION ENABLED =====
[Console-warning] [ComfyUI Notice] "extensions/core/widgetInputs.js" is an internal module, not part of the public API. Future updates may break this import.
[Console-warning] [ComfyUI Notice] "scripts/utils.js" is an internal module, not part of the public API. Future updates may break this import.
dev/windows-portable-cpu/logs/scene_seg_interactive.log
+23 -27
View File
@@ -3,37 +3,33 @@ Capturing execution frames: scene_seg_interactive.json
Validating workflow...
Queuing workflow for execution...
Frame 2 saved (frame_001.jpg, t=2.2s)
[capture-periodic] freeze=3ms shot=128ms unfreeze=4ms saved=True
[capture-periodic] freeze=5ms shot=106ms unfreeze=6ms saved=True
Frame 3 saved (frame_002.jpg, t=4.5s)
[capture-periodic] freeze=167ms shot=102ms unfreeze=4ms saved=True
[capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (37%) swap=2.4/2.9GB (82%) cpu=60% browser_rss=1.16GB
Frame 4 saved (frame_003.jpg, t=9.1s)
[capture-periodic] freeze=3ms shot=141ms unfreeze=5ms saved=True
[capture-loop] iter=100 t=12.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=5.9/16.0GB (37%) swap=2.7/2.9GB (95%) cpu=64% browser_rss=1.10GB
[capture-loop] iter=150 t=17.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (39%) swap=2.7/2.9GB (95%) cpu=81% browser_rss=1.09GB
[capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (40%) swap=2.7/2.9GB (95%) cpu=83% browser_rss=1.09GB
[capture-loop] iter=250 t=29.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.5/16.0GB (40%) swap=2.7/2.9GB (95%) cpu=80% browser_rss=1.09GB
[capture-loop] iter=300 t=35.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.1/16.0GB (44%) swap=2.7/2.9GB (95%) cpu=76% browser_rss=1.09GB
[capture-loop] iter=350 t=43.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (51%) swap=2.7/2.9GB (94%) cpu=71% browser_rss=1.03GB
[capture-loop] iter=400 t=48.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.8/16.0GB (43%) swap=2.7/2.9GB (92%) cpu=62% browser_rss=1.03GB
[capture-loop] iter=450 t=54.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.0/16.0GB (44%) swap=2.7/2.9GB (92%) cpu=53% browser_rss=1.03GB
[capture-loop] iter=500 t=60.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=2.7/2.9GB (92%) cpu=61% browser_rss=1.02GB
[capture-loop] iter=550 t=66.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=2.7/2.9GB (92%) cpu=55% browser_rss=1.03GB
[capture-loop] iter=600 t=71.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=2.7/2.9GB (92%) cpu=59% browser_rss=1.02GB
[capture-loop] iter=650 t=77.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=12 ram=7.6/16.0GB (48%) swap=2.7/2.9GB (92%) cpu=73% browser_rss=1.02GB
[capture-loop] iter=700 t=83.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.8/16.0GB (49%) swap=2.7/2.9GB (92%) cpu=80% browser_rss=1.02GB
Frame 5 saved (frame_004.jpg, t=86.6s)
[capture-periodic] freeze=3ms shot=133ms unfreeze=5ms saved=True
[capture-periodic] freeze=5ms shot=134ms unfreeze=6ms saved=True
[capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.8/16.0GB (49%) swap=0.9/4.4GB (20%) cpu=46% browser_rss=1.38GB
[capture-loop] iter=100 t=12.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.0/16.0GB (50%) swap=0.9/4.4GB (20%) cpu=64% browser_rss=1.09GB
[capture-loop] iter=150 t=17.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.9/16.0GB (50%) swap=0.9/2.9GB (31%) cpu=66% browser_rss=1.09GB
[capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.1/16.0GB (50%) swap=0.9/2.9GB (31%) cpu=58% browser_rss=1.09GB
[capture-loop] iter=250 t=29.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=9.4/16.0GB (58%) swap=1.0/2.9GB (35%) cpu=59% browser_rss=1.09GB
[capture-loop] iter=300 t=35.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=58% browser_rss=1.09GB
[capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=56% browser_rss=1.09GB
[capture-loop] iter=400 t=47.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=1.0/2.9GB (35%) cpu=61% browser_rss=1.09GB
[capture-loop] iter=450 t=53.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.7/16.0GB (54%) swap=1.0/2.9GB (35%) cpu=56% browser_rss=1.03GB
[capture-loop] iter=500 t=59.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=1.0/2.9GB (35%) cpu=66% browser_rss=1.03GB
[capture-loop] iter=550 t=65.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=1.0/2.9GB (35%) cpu=73% browser_rss=1.02GB
Frame 4 saved (frame_003.jpg, t=69.1s)
[capture-periodic] freeze=5ms shot=153ms unfreeze=5ms saved=True
[capture-loop] iter=600 t=71.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=10.4/16.0GB (65%) swap=1.0/2.9GB (35%) cpu=74% browser_rss=1.03GB
Node executed (1 total), capturing...
Frame 6 saved (frame_005.jpg, t=90.0s)
[capture-node] freeze=58ms shot=527ms unfreeze=4ms saved=True
Frame 5 saved (frame_004.jpg, t=73.7s)
[capture-node] freeze=72ms shot=511ms unfreeze=9ms saved=True
Node executed (2 total), capturing...
Frame 7 saved (frame_006.jpg, t=90.8s)
[capture-node] freeze=4ms shot=153ms unfreeze=0ms saved=True
Execution complete (t=90.8s)
Captured 7 unique frames over 91.01s
Frame 6 saved (frame_005.jpg, t=74.5s)
[capture-node] freeze=6ms shot=168ms unfreeze=0ms saved=True
Execution complete (t=74.5s)
Captured 6 unique frames over 74.74s
[debug] iframes: 0
[timing] trigger_3d_previews: 0.0s
Saved high-quality screenshot: scene_seg_interactive_executed.png
[timing] final_screenshot: 0.3s
Captured 8 video frames
Captured 7 video frames
dev/windows-portable-cpu/logs/scene_seg_interactive_console.log
+2 -2
View File
@@ -7,10 +7,10 @@
[Console-error] Failed to load resource: the server responded with a status of 404 (Not Found)
[Console-error] Failed to load resource: the server responded with a status of 404 (Not Found)
[Console-error] Failed to load resource: the server responded with a status of 404 (Not Found)
[Console-warning] [ComfyUI Notice] "scripts/widgets.js" is an internal module, not part of the public API. Future updates may break this import.
[Console-log] [SAM3] ===== BBOX COLLECTOR VERSION 1 =====
[Console-log] [SAM3] ===== MULTI-REGION COLLECTOR VERSION 1 =====
[Console-warning] [ComfyUI Notice] "scripts/widgets.js" is an internal module, not part of the public API. Future updates may break this import.
[Console-log] [SAM3] ===== VERSION 8 - SERIALIZATION ENABLED =====
[Console-log] [SAM3] ===== BBOX COLLECTOR VERSION 1 =====
[Console-warning] [ComfyUI Notice] "extensions/core/widgetInputs.js" is an internal module, not part of the public API. Future updates may break this import.
[Console-warning] [ComfyUI Notice] "scripts/utils.js" is an internal module, not part of the public API. Future updates may break this import.
[Console-warning] [MaskEditor] ComfyApp.open_maskeditor is deprecated. Plugins should migrate to using the command system or direct node context menu integration.
dev/windows-portable-cpu/logs/scene_seg_interactive_resources.csv
+84 -98
View File
@@ -1,100 +1,86 @@
# total_ram_gb=16.0
t,ram_gb,vram_gb
0.0,5.97,
1.0,4.95,
2.0,4.95,
3.0,4.95,
4.0,4.95,
5.0,4.95,
6.0,4.95,
7.1,5.54,
8.1,1.61,
9.1,1.68,
10.1,1.7,
11.1,1.73,
12.1,1.75,
13.1,1.8,
14.1,1.83,
15.1,1.53,
16.1,1.55,
17.1,1.61,
18.1,2.11,
19.1,2.28,
20.2,2.26,
21.2,2.34,
22.2,2.72,
23.2,2.42,
24.2,2.44,
25.2,2.42,
26.2,2.52,
27.2,2.55,
28.2,2.47,
29.2,2.6,
30.2,2.91,
31.2,4.81,
32.2,2.76,
33.2,2.65,
34.3,2.89,
35.3,2.73,
36.3,2.75,
37.3,2.73,
38.3,2.8,
39.3,2.78,
40.3,2.85,
41.3,2.83,
43.3,2.92,
44.3,2.94,
45.3,2.95,
46.4,2.93,
47.4,3.01,
48.4,3.04,
49.4,5.09,
50.4,4.31,
51.4,3.06,
52.4,3.31,
53.4,3.14,
54.4,3.16,
55.4,3.14,
56.4,3.21,
57.4,3.25,
58.4,3.29,
59.5,3.33,
60.5,3.36,
61.5,3.37,
62.5,3.35,
63.5,3.44,
64.5,3.74,
65.5,5.56,
66.5,4.72,
67.5,3.46,
68.5,3.45,
69.5,3.52,
70.5,3.5,
71.5,3.6,
72.5,3.63,
73.5,3.66,
74.5,3.68,
75.5,3.65,
76.5,3.73,
77.5,4.05,
78.6,3.81,
79.6,3.84,
80.6,3.87,
81.6,4.94,
82.6,6.02,
83.6,4.37,
84.6,3.88,
85.6,3.79,
86.6,3.92,
87.6,4.06,
88.6,4.16,
89.6,4.17,
90.6,4.62,
91.6,5.78,
92.7,5.78,
93.7,5.22,
94.7,4.63,
95.7,4.73,
96.7,4.62,
97.7,4.62,
98.7,4.62,
0.0,6.15,
1.0,5.11,
2.0,5.11,
3.0,5.11,
4.0,5.11,
5.0,5.11,
6.0,5.1,
7.1,5.31,
8.1,5.12,
9.1,3.97,
10.1,4.06,
11.1,3.88,
12.1,3.9,
13.1,3.82,
14.1,3.92,
15.1,4.03,
16.1,4.05,
17.1,4.32,
18.1,4.08,
19.1,4.18,
20.1,5.09,
21.1,5.44,
22.1,4.26,
23.1,4.18,
24.1,4.29,
25.1,4.31,
26.2,4.66,
27.2,4.39,
28.2,4.39,
29.2,4.42,
30.2,4.46,
31.2,4.59,
32.2,4.5,
33.2,4.41,
34.2,4.46,
35.2,6.08,
36.2,5.77,
37.2,4.52,
38.2,4.62,
39.2,4.59,
40.2,4.55,
41.2,4.59,
42.2,4.69,
43.2,4.83,
44.2,4.75,
45.2,4.77,
46.2,4.74,
47.3,4.85,
48.3,4.85,
49.3,4.84,
50.3,6.4,
51.3,6.17,
52.3,4.92,
53.3,4.9,
54.3,4.97,
55.3,5.38,
56.3,5.05,
57.3,5.07,
58.3,5.05,
59.3,5.15,
60.3,5.39,
61.3,5.15,
62.3,5.23,
63.3,5.49,
64.3,5.3,
65.4,5.26,
66.4,6.46,
67.4,7.8,
68.4,5.44,
69.4,5.33,
70.4,5.3,
71.4,5.42,
72.4,5.5,
73.4,5.69,
74.4,5.95,
75.4,7.28,
76.4,7.28,
77.4,6.85,
78.4,5.05,
79.4,5.25,
80.4,4.94,
81.4,4.94,
82.5,4.94,
83.5,4.93,
1 # total_ram_gb=16.0
2 t,ram_gb,vram_gb
3 0.0,5.97, 0.0,6.15,
4 1.0,4.95, 1.0,5.11,
5 2.0,4.95, 2.0,5.11,
6 3.0,4.95, 3.0,5.11,
7 4.0,4.95, 4.0,5.11,
8 5.0,4.95, 5.0,5.11,
9 6.0,4.95, 6.0,5.1,
10 7.1,5.54, 7.1,5.31,
11 8.1,1.61, 8.1,5.12,
12 9.1,1.68, 9.1,3.97,
13 10.1,1.7, 10.1,4.06,
14 11.1,1.73, 11.1,3.88,
15 12.1,1.75, 12.1,3.9,
16 13.1,1.8, 13.1,3.82,
17 14.1,1.83, 14.1,3.92,
18 15.1,1.53, 15.1,4.03,
19 16.1,1.55, 16.1,4.05,
20 17.1,1.61, 17.1,4.32,
21 18.1,2.11, 18.1,4.08,
22 19.1,2.28, 19.1,4.18,
23 20.2,2.26, 20.1,5.09,
24 21.2,2.34, 21.1,5.44,
25 22.2,2.72, 22.1,4.26,
26 23.2,2.42, 23.1,4.18,
27 24.2,2.44, 24.1,4.29,
28 25.2,2.42, 25.1,4.31,
29 26.2,2.52, 26.2,4.66,
30 27.2,2.55, 27.2,4.39,
31 28.2,2.47, 28.2,4.39,
32 29.2,2.6, 29.2,4.42,
33 30.2,2.91, 30.2,4.46,
34 31.2,4.81, 31.2,4.59,
35 32.2,2.76, 32.2,4.5,
36 33.2,2.65, 33.2,4.41,
37 34.3,2.89, 34.2,4.46,
38 35.3,2.73, 35.2,6.08,
39 36.3,2.75, 36.2,5.77,
40 37.3,2.73, 37.2,4.52,
41 38.3,2.8, 38.2,4.62,
42 39.3,2.78, 39.2,4.59,
43 40.3,2.85, 40.2,4.55,
44 41.3,2.83, 41.2,4.59,
45 43.3,2.92, 42.2,4.69,
46 44.3,2.94, 43.2,4.83,
47 45.3,2.95, 44.2,4.75,
48 46.4,2.93, 45.2,4.77,
49 47.4,3.01, 46.2,4.74,
50 48.4,3.04, 47.3,4.85,
51 49.4,5.09, 48.3,4.85,
52 50.4,4.31, 49.3,4.84,
53 51.4,3.06, 50.3,6.4,
54 52.4,3.31, 51.3,6.17,
55 53.4,3.14, 52.3,4.92,
56 54.4,3.16, 53.3,4.9,
57 55.4,3.14, 54.3,4.97,
58 56.4,3.21, 55.3,5.38,
59 57.4,3.25, 56.3,5.05,
60 58.4,3.29, 57.3,5.07,
61 59.5,3.33, 58.3,5.05,
62 60.5,3.36, 59.3,5.15,
63 61.5,3.37, 60.3,5.39,
64 62.5,3.35, 61.3,5.15,
65 63.5,3.44, 62.3,5.23,
66 64.5,3.74, 63.3,5.49,
67 65.5,5.56, 64.3,5.3,
68 66.5,4.72, 65.4,5.26,
69 67.5,3.46, 66.4,6.46,
70 68.5,3.45, 67.4,7.8,
71 69.5,3.52, 68.4,5.44,
72 70.5,3.5, 69.4,5.33,
73 71.5,3.6, 70.4,5.3,
74 72.5,3.63, 71.4,5.42,
75 73.5,3.66, 72.4,5.5,
76 74.5,3.68, 73.4,5.69,
77 75.5,3.65, 74.4,5.95,
78 76.5,3.73, 75.4,7.28,
79 77.5,4.05, 76.4,7.28,
80 78.6,3.81, 77.4,6.85,
81 79.6,3.84, 78.4,5.05,
82 80.6,3.87, 79.4,5.25,
83 81.6,4.94, 80.4,4.94,
84 82.6,6.02, 81.4,4.94,
85 83.6,4.37, 82.5,4.94,
86 84.6,3.88, 83.5,4.93,
85.6,3.79,
86.6,3.92,
87.6,4.06,
88.6,4.16,
89.6,4.17,
90.6,4.62,
91.6,5.78,
92.7,5.78,
93.7,5.22,
94.7,4.63,
95.7,4.73,
96.7,4.62,
97.7,4.62,
98.7,4.62,
dev/windows-portable-cpu/logs/scene_seg_resources.csv
+115 -124
View File
@@ -1,126 +1,117 @@
# total_ram_gb=16.0
t,ram_gb,vram_gb
0.0,4.51,
1.0,4.51,
2.0,4.51,
3.0,4.51,
4.1,4.51,
5.1,4.5,
6.1,4.5,
7.1,4.63,
8.1,1.17,
9.1,1.43,
10.1,1.48,
11.1,1.5,
12.1,1.54,
13.1,1.56,
14.1,1.94,
15.1,1.94,
16.1,1.99,
17.1,2.15,
18.1,2.28,
19.1,2.36,
20.1,2.34,
21.2,2.41,
22.2,2.43,
23.2,2.49,
24.2,2.52,
25.2,2.55,
26.2,2.56,
27.2,2.54,
28.2,2.61,
29.2,2.96,
30.3,2.69,
31.3,3.22,
32.3,4.97,
33.3,2.99,
34.3,2.71,
35.3,2.77,
36.3,2.79,
37.3,3.03,
38.3,2.84,
39.3,2.85,
40.3,2.9,
41.3,2.9,
42.4,2.94,
43.4,2.89,
44.4,2.96,
45.4,2.94,
46.4,3.03,
47.4,3.42,
48.4,3.09,
49.4,3.56,
50.4,5.19,
51.5,3.59,
52.5,3.14,
53.5,3.37,
54.5,3.19,
55.5,3.22,
56.5,3.25,
57.5,3.27,
58.5,3.3,
59.5,3.32,
60.5,3.29,
61.5,3.37,
62.5,3.34,
63.5,3.42,
64.6,3.6,
65.6,3.49,
66.6,3.8,
67.6,5.69,
68.6,3.54,
69.6,3.52,
70.7,3.49,
71.7,3.57,
72.7,3.54,
73.7,3.64,
74.7,3.93,
75.7,3.69,
76.7,3.93,
77.7,3.75,
78.7,3.65,
79.7,3.81,
80.7,3.82,
81.7,3.78,
82.7,3.87,
83.8,3.85,
84.8,5.15,
85.8,5.37,
86.8,3.95,
87.8,3.92,
88.8,3.86,
89.8,3.97,
90.8,4.09,
91.8,4.2,
92.8,4.21,
93.8,4.41,
94.8,4.56,
95.9,4.71,
96.9,4.85,
97.9,4.97,
98.9,5.78,
99.9,6.59,
100.9,7.05,
101.9,7.09,
103.0,6.95,
104.0,6.47,
105.0,6.94,
106.0,7.02,
107.0,6.47,
108.0,7.01,
109.0,7.12,
110.0,6.85,
111.0,4.97,
112.0,5.56,
113.0,5.3,
114.1,5.77,
115.1,5.53,
116.1,5.74,
117.1,6.07,
118.1,6.83,
119.1,6.51,
120.1,6.22,
121.1,7.17,
122.1,7.22,
123.1,7.23,
124.1,7.22,
0.0,4.68,
1.0,4.68,
2.1,4.68,
3.1,4.67,
4.1,4.67,
5.1,4.66,
6.1,4.78,
7.1,1.17,
8.1,1.34,
9.1,1.53,
10.1,1.54,
11.1,1.55,
12.1,1.55,
13.1,1.55,
14.1,1.55,
15.1,1.56,
16.1,1.58,
17.1,1.58,
18.1,1.58,
19.1,1.59,
20.1,1.6,
21.1,1.62,
22.1,1.63,
23.1,1.64,
24.1,1.66,
25.2,2.35,
26.2,2.01,
27.2,2.04,
28.2,2.05,
29.2,2.08,
30.2,2.53,
31.2,2.66,
32.2,2.48,
33.2,2.49,
34.2,2.85,
35.2,2.57,
36.2,2.59,
37.3,2.76,
38.3,2.67,
39.3,2.69,
40.3,3.1,
41.3,2.77,
42.3,4.02,
43.3,4.02,
44.3,2.78,
45.3,2.76,
46.3,2.87,
47.3,2.88,
48.3,3.25,
49.3,2.97,
50.3,2.99,
51.3,3.24,
52.3,3.01,
53.3,3.09,
54.4,3.14,
55.4,3.11,
56.4,4.9,
57.4,4.43,
58.4,3.19,
59.4,3.56,
60.4,3.28,
61.4,3.29,
62.4,3.56,
63.4,3.32,
64.4,3.39,
65.4,3.45,
66.4,3.42,
67.4,3.52,
68.4,3.53,
69.4,3.52,
70.4,5.7,
71.4,3.69,
72.4,3.62,
73.5,3.66,
74.5,3.63,
75.5,3.73,
76.5,3.75,
77.5,3.73,
78.5,3.84,
79.5,3.85,
80.5,4.1,
81.5,3.94,
82.5,3.96,
83.5,4.47,
84.5,6.45,
85.5,4.55,
86.5,4.04,
87.5,4.04,
88.5,4.19,
89.5,4.34,
90.5,4.31,
91.6,4.65,
92.6,4.84,
93.6,5.06,
94.6,6.19,
95.6,7.0,
96.6,6.89,
97.6,7.17,
98.6,6.95,
99.6,7.02,
100.6,7.11,
101.6,7.2,
102.7,5.57,
103.7,5.84,
104.7,5.84,
105.7,5.88,
106.7,5.72,
107.7,5.83,
108.7,6.12,
109.7,6.66,
110.7,6.28,
111.7,7.33,
112.7,7.34,
113.7,7.38,
114.7,7.38,
1 # total_ram_gb=16.0
2 t,ram_gb,vram_gb
3 0.0,4.51, 0.0,4.68,
4 1.0,4.51, 1.0,4.68,
5 2.0,4.51, 2.1,4.68,
6 3.0,4.51, 3.1,4.67,
7 4.1,4.51, 4.1,4.67,
8 5.1,4.5, 5.1,4.66,
9 6.1,4.5, 6.1,4.78,
10 7.1,4.63, 7.1,1.17,
11 8.1,1.17, 8.1,1.34,
12 9.1,1.43, 9.1,1.53,
13 10.1,1.48, 10.1,1.54,
14 11.1,1.5, 11.1,1.55,
15 12.1,1.54, 12.1,1.55,
16 13.1,1.56, 13.1,1.55,
17 14.1,1.94, 14.1,1.55,
18 15.1,1.94, 15.1,1.56,
19 16.1,1.99, 16.1,1.58,
20 17.1,2.15, 17.1,1.58,
21 18.1,2.28, 18.1,1.58,
22 19.1,2.36, 19.1,1.59,
23 20.1,2.34, 20.1,1.6,
24 21.2,2.41, 21.1,1.62,
25 22.2,2.43, 22.1,1.63,
26 23.2,2.49, 23.1,1.64,
27 24.2,2.52, 24.1,1.66,
28 25.2,2.55, 25.2,2.35,
29 26.2,2.56, 26.2,2.01,
30 27.2,2.54, 27.2,2.04,
31 28.2,2.61, 28.2,2.05,
32 29.2,2.96, 29.2,2.08,
33 30.3,2.69, 30.2,2.53,
34 31.3,3.22, 31.2,2.66,
35 32.3,4.97, 32.2,2.48,
36 33.3,2.99, 33.2,2.49,
37 34.3,2.71, 34.2,2.85,
38 35.3,2.77, 35.2,2.57,
39 36.3,2.79, 36.2,2.59,
40 37.3,3.03, 37.3,2.76,
41 38.3,2.84, 38.3,2.67,
42 39.3,2.85, 39.3,2.69,
43 40.3,2.9, 40.3,3.1,
44 41.3,2.9, 41.3,2.77,
45 42.4,2.94, 42.3,4.02,
46 43.4,2.89, 43.3,4.02,
47 44.4,2.96, 44.3,2.78,
48 45.4,2.94, 45.3,2.76,
49 46.4,3.03, 46.3,2.87,
50 47.4,3.42, 47.3,2.88,
51 48.4,3.09, 48.3,3.25,
52 49.4,3.56, 49.3,2.97,
53 50.4,5.19, 50.3,2.99,
54 51.5,3.59, 51.3,3.24,
55 52.5,3.14, 52.3,3.01,
56 53.5,3.37, 53.3,3.09,
57 54.5,3.19, 54.4,3.14,
58 55.5,3.22, 55.4,3.11,
59 56.5,3.25, 56.4,4.9,
60 57.5,3.27, 57.4,4.43,
61 58.5,3.3, 58.4,3.19,
62 59.5,3.32, 59.4,3.56,
63 60.5,3.29, 60.4,3.28,
64 61.5,3.37, 61.4,3.29,
65 62.5,3.34, 62.4,3.56,
66 63.5,3.42, 63.4,3.32,
67 64.6,3.6, 64.4,3.39,
68 65.6,3.49, 65.4,3.45,
69 66.6,3.8, 66.4,3.42,
70 67.6,5.69, 67.4,3.52,
71 68.6,3.54, 68.4,3.53,
72 69.6,3.52, 69.4,3.52,
73 70.7,3.49, 70.4,5.7,
74 71.7,3.57, 71.4,3.69,
75 72.7,3.54, 72.4,3.62,
76 73.7,3.64, 73.5,3.66,
77 74.7,3.93, 74.5,3.63,
78 75.7,3.69, 75.5,3.73,
79 76.7,3.93, 76.5,3.75,
80 77.7,3.75, 77.5,3.73,
81 78.7,3.65, 78.5,3.84,
82 79.7,3.81, 79.5,3.85,
83 80.7,3.82, 80.5,4.1,
84 81.7,3.78, 81.5,3.94,
85 82.7,3.87, 82.5,3.96,
86 83.8,3.85, 83.5,4.47,
87 84.8,5.15, 84.5,6.45,
88 85.8,5.37, 85.5,4.55,
89 86.8,3.95, 86.5,4.04,
90 87.8,3.92, 87.5,4.04,
91 88.8,3.86, 88.5,4.19,
92 89.8,3.97, 89.5,4.34,
93 90.8,4.09, 90.5,4.31,
94 91.8,4.2, 91.6,4.65,
95 92.8,4.21, 92.6,4.84,
96 93.8,4.41, 93.6,5.06,
97 94.8,4.56, 94.6,6.19,
98 95.9,4.71, 95.6,7.0,
99 96.9,4.85, 96.6,6.89,
100 97.9,4.97, 97.6,7.17,
101 98.9,5.78, 98.6,6.95,
102 99.9,6.59, 99.6,7.02,
103 100.9,7.05, 100.6,7.11,
104 101.9,7.09, 101.6,7.2,
105 103.0,6.95, 102.7,5.57,
106 104.0,6.47, 103.7,5.84,
107 105.0,6.94, 104.7,5.84,
108 106.0,7.02, 105.7,5.88,
109 107.0,6.47, 106.7,5.72,
110 108.0,7.01, 107.7,5.83,
111 109.0,7.12, 108.7,6.12,
112 110.0,6.85, 109.7,6.66,
113 111.0,4.97, 110.7,6.28,
114 112.0,5.56, 111.7,7.33,
115 113.0,5.3, 112.7,7.34,
116 114.1,5.77, 113.7,7.38,
117 115.1,5.53, 114.7,7.38,
116.1,5.74,
117.1,6.07,
118.1,6.83,
119.1,6.51,
120.1,6.22,
121.1,7.17,
122.1,7.22,
123.1,7.23,
124.1,7.22,
dev/windows-portable-cpu/models.json
+1 -1
View File
@@ -1,5 +1,5 @@
{
"models_dir": "D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\models",
"models_dir": "D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1230\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\models",
"summary": {
"total_files": 9,
"total_size_bytes": 3469520624,
dev/windows-portable-cpu/results.json
+29 -29
View File
@@ -1,12 +1,12 @@
{
"timestamp": "2026-05-13T18:08:26.633150+00:00",
"timestamp": "2026-05-14T12:42:38.885938+00:00",
"platform": "windows_portable",
"hardware": {
"os": "Windows-2025Server-10.0.26100-SP0",
"cpu": "AMD64 Family 25 Model 17 Stepping 1, AuthenticAMD"
"os": "Windows-10-10.0.26100-SP0",
"cpu": "AMD64 Family 25 Model 1 Stepping 1, AuthenticAMD"
},
"commit_hash": "2995998cdf551d91e0f289dcfe2a6dd65f2451fa",
"run_url": "https://github.com/PozzettiAndrea/comfy-gpu-ci/actions/runs/25816698415",
"commit_hash": "623e4bdd0401fa7747f39bcc129f537735001501",
"run_url": "https://github.com/PozzettiAndrea/comfy-gpu-ci/actions/runs/25860034265",
"success": true,
"summary": {
"total": 5,
@@ -17,73 +17,73 @@
{
"name": "image_seg_point",
"status": "pass",
"duration_seconds": 122.91,
"duration_seconds": 111.03,
"error": null,
"hardware": {
"os": "Windows-2025Server-10.0.26100-SP0",
"cpu": "AMD64 Family 25 Model 17 Stepping 1, AuthenticAMD"
"os": "Windows-10-10.0.26100-SP0",
"cpu": "AMD64 Family 25 Model 1 Stepping 1, AuthenticAMD"
},
"resources": {
"ram": {
"peak": 4.93,
"avg": 2.59
"peak": 5.11,
"avg": 2.77
},
"total_ram_gb": 16.0,
"samples": 122
"samples": 111
}
},
{
"name": "image_seg_text",
"status": "pass",
"duration_seconds": 129.25,
"duration_seconds": 77.66,
"error": null,
"hardware": {
"os": "Windows-2025Server-10.0.26100-SP0",
"cpu": "AMD64 Family 25 Model 17 Stepping 1, AuthenticAMD"
"os": "Windows-10-10.0.26100-SP0",
"cpu": "AMD64 Family 25 Model 1 Stepping 1, AuthenticAMD"
},
"resources": {
"ram": {
"peak": 5.56,
"avg": 2.83
"peak": 5.61,
"avg": 3.54
},
"total_ram_gb": 16.0,
"samples": 124
"samples": 78
}
},
{
"name": "scene_seg",
"status": "pass",
"duration_seconds": 124.23,
"duration_seconds": 115.16,
"error": null,
"hardware": {
"os": "Windows-2025Server-10.0.26100-SP0",
"cpu": "AMD64 Family 25 Model 17 Stepping 1, AuthenticAMD"
"os": "Windows-10-10.0.26100-SP0",
"cpu": "AMD64 Family 25 Model 1 Stepping 1, AuthenticAMD"
},
"resources": {
"ram": {
"peak": 7.23,
"avg": 4.03
"peak": 7.38,
"avg": 3.81
},
"total_ram_gb": 16.0,
"samples": 124
"samples": 115
}
},
{
"name": "scene_seg_interactive",
"status": "pass",
"duration_seconds": 99.39,
"duration_seconds": 83.46,
"error": null,
"hardware": {
"os": "Windows-2025Server-10.0.26100-SP0",
"cpu": "AMD64 Family 25 Model 17 Stepping 1, AuthenticAMD"
"os": "Windows-10-10.0.26100-SP0",
"cpu": "AMD64 Family 25 Model 1 Stepping 1, AuthenticAMD"
},
"resources": {
"ram": {
"peak": 6.02,
"avg": 3.49
"peak": 7.8,
"avg": 5.02
},
"total_ram_gb": 16.0,
"samples": 98
"samples": 84
}
},
{
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dev/windows-portable-cpu/server.log
+151 -147
View File
@@ -5,19 +5,19 @@ setup plugin alembic.autogenerate.constraints
setup plugin alembic.autogenerate.defaults
setup plugin alembic.autogenerate.comments
[comfy-env] ComfyUI-SAM3: 1 isolation env(s):
[comfy-env] nodes -> D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes
[comfy-env] nodes -> D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes
[comfy-env] Workspace: C:\Users\stduser\AppData\Local\Programs\comfy-env
[comfy-env] env: C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes [OK]
[comfy-env] prestartup complete
Prestartup times for custom nodes:
0.2 seconds: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3
0.2 seconds: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3
D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\cuda\__init__.py:180: UserWarning: cudaGetDeviceCount() returned cudaErrorNotSupported, likely using older driver or on CPU machine (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10\cuda\CUDAFunctions.cpp:88.)
D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\cuda\__init__.py:180: UserWarning: cudaGetDeviceCount() returned cudaErrorNotSupported, likely using older driver or on CPU machine (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10\cuda\CUDAFunctions.cpp:88.)
return torch._C._cuda_getDeviceCount() > 0
Found comfy_kitchen backend cuda: {'available': False, 'disabled': False, 'unavailable_reason': 'CUDA not available on this system', 'capabilities': []}
Found comfy_kitchen backend eager: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_mxfp8', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_mxfp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'scaled_mm_mxfp8', 'scaled_mm_nvfp4']}
Found comfy_kitchen backend triton: {'available': False, 'disabled': True, 'unavailable_reason': "ImportError: No module named 'triton'", 'capabilities': []}
Found comfy_kitchen backend cuda: {'available': False, 'disabled': False, 'unavailable_reason': 'CUDA not available on this system', 'capabilities': []}
Checkpoint files will always be loaded safely.
Total VRAM 16379 MB, total RAM 16379 MB
pytorch version: 2.11.0+cu130
@@ -25,22 +25,22 @@ Set vram state to: DISABLED
Device: cpu
Using sub quadratic optimization for attention, if you have memory or speed issues try using: --use-split-cross-attention
Python version: 3.13.12 (tags/v3.13.12:1cbe481, Feb 3 2026, 18:22:25) [MSC v.1944 64 bit (AMD64)]
ComfyUI version: 0.21.0
ComfyUI version: 0.21.1
comfy-aimdo version: 0.3.0
comfy-kitchen version: 0.2.8
****** User settings have been changed to be stored on the server instead of browser storage. ******
****** For multi-user setups add the --multi-user CLI argument to enable multiple user profiles. ******
ComfyUI frontend version: 1.43.18
[Prompt Server] web root: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\python_embeded\Lib\site-packages\comfyui_frontend_package\static
[Prompt Server] web root: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\python_embeded\Lib\site-packages\comfyui_frontend_package\static
Asset seeder disabled
ComfyUI-Multiband loaded: 15 nodes registered
[comfy-env] Version: 0.3.87
[comfy-env] register_nodes: ComfyUI-SAM3
[comfy-env] ComfyUI source dir: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI
[comfy-env] ComfyUI source dir: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI
[comfy-env] Found 1 isolation env(s)
[comfy-env] Scanning nodes metadata (isolation root)...
[comfy-env] sam3-nodes: Library/bin has 237 DLLs
[comfy-env] Metadata scan: C:\Users\stduser\.pixi\bin\pixi.exe run --as-is --manifest-path C:\Users\stduser\AppData\Local\Programs\comfy-env\pixi.toml -e sam3-nodes python C:\Users\stduser\AppData\Local\Temp\comfy_meta_c9dqy2e7.py D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3 nodes C:\Users\stduser\AppData\Local\Temp\comfy_meta_out_8ndd4t11.pkl
[comfy-env] Metadata scan: C:\Users\stduser\.pixi\bin\pixi.exe run --as-is --manifest-path C:\Users\stduser\AppData\Local\Programs\comfy-env\pixi.toml -e sam3-nodes python C:\Users\stduser\AppData\Local\Temp\comfy_meta_7717pd7q.py D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3 nodes C:\Users\stduser\AppData\Local\Temp\comfy_meta_out_apmbk9c6.pkl
[comfy-env] Scan env PATH for nodes:
[comfy-env] [0] C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes
[comfy-env] [1] C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Library\bin
@@ -50,22 +50,22 @@ ComfyUI-Multiband loaded: 15 nodes registered
[comfy-env] [5] C:\Windows
[comfy-env] [6] C:\Windows\System32\Wbem
[comfy-env] Metadata scan stderr for nodes:
[comfy-env] [meta-scan] importing nodes from D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3
[comfy-env] [meta-scan] importing nodes from D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3
[comfy-env] C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\cuda\__init__.py:180: UserWarning: cudaGetDeviceCount() returned cudaErrorNotSupported, likely using older driver or on CPU machine (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10\cuda\CUDAFunctions.cpp:88.)
[comfy-env] return torch._C._cuda_getDeviceCount() > 0
[comfy-env] [meta-scan] import OK
[comfy-env] Scanned nodes: 15 nodes (22.8s)
[comfy-env] Scanned nodes root: 15 nodes (22.8s)
[comfy-env] Scanned nodes: 15 nodes (12.8s)
[comfy-env] Scanned nodes root: 15 nodes (12.8s)
[comfy-env] Registered proxy route: POST /sam3/interactive_segment_one -> nodes.sam3_interactive._api_segment_one
[comfy-env] Imported nodes root: 15 nodes (isolation)
[comfy-env] Registered 15 total nodes
Import times for custom nodes:
0.0 seconds: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\websocket_image_save.py
0.0 seconds: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-validate-endpoint
0.2 seconds: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-VideoHelperSuite
1.3 seconds: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Multiband
23.6 seconds: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3
0.0 seconds: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\websocket_image_save.py
0.0 seconds: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-validate-endpoint
0.1 seconds: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-VideoHelperSuite
0.9 seconds: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Multiband
13.5 seconds: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3
Context impl SQLiteImpl.
Will assume non-transactional DDL.
@@ -81,7 +81,7 @@ Change preview_id FK from assets.id to asset_references.id.
Database upgraded from None to 0003_add_metadata_job_id
Starting server
To see the GUI go to: http://127.0.0.1:41891
To see the GUI go to: http://127.0.0.1:41895
[DEPRECATION WARNING] Detected import of deprecated legacy API: /extensions/core/widgetInputs.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.
=== /validate endpoint called ===
Received JSON with keys: ['prompt']
@@ -98,21 +98,21 @@ Prompt has 6 nodes
Inputs: {"precision": "auto", "compile": false}
Node 31: SAM3Segmentation
Inputs: {"refinement_iterations": 0, "use_multimask": true, "output_best_mask": true, "sam3_model_config": ["30", 0], "image": ["1", 0], "positive_points": ["15", 0], "negative_points": ["15", 1]}
Generated prompt_id: b236cedc-f088-4fdc-a731-c5c213fdedd6
Generated prompt_id: 99897ba8-999e-49a9-8343-be4dca2a48de
Calling execution.validate_prompt()...
Validation result: valid=True
=== Validation PASSED ===
got prompt
[comfy-env] Running SAM3PointCollector: points_store: '{"positive":[{"x":426.27735719657574,"y":321.42611685978..., coordinates: '[{"x":426.27735719657574,"y":321.42611685978835},{"x":41..., neg_coordinates: '[]', image: torch.float32 [1,720,1280,3] cpu
[comfy-env] SubprocessWorker: C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\python.exe
[comfy-env] env_vars: {'PYTORCH_ENABLE_MPS_FALLBACK': '1', 'COMFYUI_BASE': 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI'}
[comfy-env] env_vars: {'PYTORCH_ENABLE_MPS_FALLBACK': '1', 'COMFYUI_BASE': 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1230\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI'}
[SubprocessWorker] call_method: nodes.sam3_interactive.SAM3PointCollector.EXECUTE_NORMALIZED
[SubprocessWorker] acquired lock, ensuring started...
[comfy-env] sam3-nodes: Library/bin has 237 DLLs
[ComfyUI-SAM3] python: C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\python.exe
[ComfyUI-SAM3] sys_path sent to worker: ['D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI', 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-SAM3', 'C:\\Users\\stduser\\AppData\\Local\\Programs\\comfy-env\\.pixi\\envs\\sam3-nodes\\Lib\\site-packages', 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-SAM3']
[ComfyUI-SAM3] sys_path sent to worker: ['D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1230\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI', 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1230\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-SAM3', 'C:\\Users\\stduser\\AppData\\Local\\Programs\\comfy-env\\.pixi\\envs\\sam3-nodes\\Lib\\site-packages', 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1230\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-SAM3']
[SubprocessWorker] is_pixi=True, python=C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\python.exe
[SubprocessWorker] launching cmd=['C:\\Users\\stduser\\.pixi\\bin\\pixi.exe', 'run', '--as-is', '--manifest-path', 'C:\\Users\\stduser\\AppData\\Local\\Programs\\comfy-env\\pixi.toml', '-e', 'sam3-nodes', 'python', 'C:\\Users\\stduser\\AppData\\Local\\Temp\\comfyui_pvenv_egxsxlza\\persistent_worker.py', 'tcp://127.0.0.1:54193']...
[SubprocessWorker] launching cmd=['C:\\Users\\stduser\\.pixi\\bin\\pixi.exe', 'run', '--as-is', '--manifest-path', 'C:\\Users\\stduser\\AppData\\Local\\Programs\\comfy-env\\pixi.toml', '-e', 'sam3-nodes', 'python', 'C:\\Users\\stduser\\AppData\\Local\\Temp\\comfyui_pvenv_3r6pbves\\persistent_worker.py', 'tcp://127.0.0.1:63331']...
C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\cuda\__init__.py:180: UserWarning: cudaGetDeviceCount() returned cudaErrorNotSupported, likely using older driver or on CPU machine (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10\cuda\CUDAFunctions.cpp:88.)
return torch._C._cuda_getDeviceCount() > 0
[SubprocessWorker] worker started/confirmed
@@ -125,7 +125,7 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 720, 1280, 3]
[worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 720, 1280, 3])
[SubprocessWorker] got response: ok
[comfy-env] SAM3PointCollector done (5.25s): result: NodeOutput
[comfy-env] SAM3PointCollector done (5.22s): result: NodeOutput
[comfy-env] Running LoadSAM3Model: precision: 'auto', compile: False
[SubprocessWorker] call_method: nodes.load_model.LoadSAM3Model.EXECUTE_NORMALIZED
[SubprocessWorker] acquired lock, ensuring started...
@@ -136,7 +136,7 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[SubprocessWorker] created 0 shm blocks
[SubprocessWorker] sending request via socket...
[SubprocessWorker] call_id=2 sending call_method
[worker:ComfyUI-SAM3] [SAM3] Model not found at D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\models\sam3\sam3.safetensors, downloading from HuggingFace...
[worker:ComfyUI-SAM3] [SAM3] Model not found at D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\models\sam3\sam3.safetensors, downloading from HuggingFace...
[worker:ComfyUI-SAM3] [SAM3] Downloading sam3.safetensors from apozz/sam3-safetensors...
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
@@ -147,7 +147,6 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[worker:ComfyUI-SAM3] [SAM3] Download progress: 10%
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
@@ -158,7 +157,6 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[worker:ComfyUI-SAM3] [SAM3] Download progress: 20%
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
@@ -169,7 +167,6 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[worker:ComfyUI-SAM3] [SAM3] Download progress: 30%
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
@@ -180,7 +177,6 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[worker:ComfyUI-SAM3] [SAM3] Download progress: 40%
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
@@ -191,7 +187,6 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[worker:ComfyUI-SAM3] [SAM3] Download progress: 50%
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
@@ -202,7 +197,6 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[worker:ComfyUI-SAM3] [SAM3] Download progress: 60%
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
@@ -213,7 +207,6 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
[worker:ComfyUI-SAM3] [SAM3] Download progress: 70%
[SubprocessWorker] callback 'report_progress' from call_id=2
[SubprocessWorker] callback 'report_progress' from call_id=2
@@ -252,7 +245,7 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[worker:ComfyUI-SAM3] [SAM3] Downloaded sam3.safetensors
[worker:ComfyUI-SAM3] [SAM3] Model downloaded successfully
[SubprocessWorker] got response: ok
[comfy-env] LoadSAM3Model done (22.33s): result: NodeOutput
[comfy-env] LoadSAM3Model done (13.40s): result: NodeOutput
[comfy-env] Running SAM3Segmentation: refinement_iterations: 0, use_multimask: True, output_best_mask: True, sam3_model_config: dict, image: torch.float32 [1,720,1280,3] cpu, positive_points: dict, negative_points: dict
[SubprocessWorker] call_method: nodes.segmentation.SAM3Segmentation.EXECUTE_NORMALIZED
[SubprocessWorker] acquired lock, ensuring started...
@@ -268,45 +261,45 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 720, 1280, 3]
[worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 720, 1280, 3])
[SubprocessWorker] callback 'request_vram_budget' from call_id=3
[comfy-env] VRAM request: 3.50GB, free before eviction: 9.07GB
[comfy-env] VRAM after eviction: 9.07GB
[comfy-env] VRAM request: 3.50GB, free before eviction: 10.41GB
[comfy-env] VRAM after eviction: 10.41GB
[worker:ComfyUI-SAM3]
=== WATCHDOG TICK 1 ===
[worker:ComfyUI-SAM3] Current thread 0x00000448 (most recent call first):
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_egxsxlza\persistent_worker.py", line 52 in _watchdog
[worker:ComfyUI-SAM3] Current thread 0x000027d0 (most recent call first):
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 52 in _watchdog
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 995 in run
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 1044 in _bootstrap_inner
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 1015 in _bootstrap
Thread 0x00000674 (most recent call first):
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 475 in forward_comfy_cast_weights
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 482 in forward
Thread 0x000018cc (most recent call first):
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 475 in forward_comfy_cast_weights
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 482 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 714 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 144 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 819 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 823 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 983 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 983 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 2041 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3321 in _forward_image_no_act_ckpt
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3314 in forward_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\utils.py", line 1324 in set_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 2041 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3321 in _forward_image_no_act_ckpt
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3314 in forward_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\utils.py", line 1324 in set_image
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\utils\_contextlib.py", line 124 in decorate_context
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\segmentation.py", line 496 in execute
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy_api\latest\_io.py", line 1833 in EXECUTE_NORMALIZED
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_egxsxlza\persistent_worker.py", line 1762 in main
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_egxsxlza\persistent_worker.py", line 1807 in <module>
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\segmentation.py", line 496 in execute
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy_api\latest\_io.py", line 1833 in EXECUTE_NORMALIZED
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 1762 in main
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 1807 in <module>
[worker:ComfyUI-SAM3] === END ===
[SubprocessWorker] got response: ok
[comfy-env] SAM3Segmentation done (83.18s): result: NodeOutput
Prompt executed in 111.19 seconds
[comfy-env] SAM3Segmentation done (80.57s): result: NodeOutput
Prompt executed in 99.38 seconds
=== /validate endpoint called ===
Received JSON with keys: ['prompt']
Prompt has 5 nodes
@@ -320,7 +313,7 @@ Prompt has 5 nodes
Inputs: {"precision": "fp32", "compile": false}
Node 15: SAM3Grounding
Inputs: {"confidence_threshold": 0.2, "text_prompt": "child", "max_detections": -1, "sam3_model_config": ["12", 0], "image": ["1", 0]}
Generated prompt_id: cf16e84b-7ffa-4ef9-896d-de565cf258c9
Generated prompt_id: 6b2bb134-3941-4dc4-8c19-e243df5ed2fb
Calling execution.validate_prompt()...
Validation result: valid=True
=== Validation PASSED ===
@@ -329,22 +322,14 @@ got prompt
[SubprocessWorker] call_method: nodes.load_model.LoadSAM3Model.EXECUTE_NORMALIZED
[SubprocessWorker] acquired lock, ensuring started...
[ComfyUI-SAM3] Health check: ping (timeout=5.0s)...
[ComfyUI-SAM3] Health check: failed
[ComfyUI-SAM3] Socket unhealthy, restarting worker...
[comfy-env] sam3-nodes: Library/bin has 237 DLLs
[ComfyUI-SAM3] python: C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\python.exe
[ComfyUI-SAM3] sys_path sent to worker: ['D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI', 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-SAM3', 'C:\\Users\\stduser\\AppData\\Local\\Programs\\comfy-env\\.pixi\\envs\\sam3-nodes\\Lib\\site-packages', 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-SAM3']
[SubprocessWorker] is_pixi=True, python=C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\python.exe
[SubprocessWorker] launching cmd=['C:\\Users\\stduser\\.pixi\\bin\\pixi.exe', 'run', '--as-is', '--manifest-path', 'C:\\Users\\stduser\\AppData\\Local\\Programs\\comfy-env\\pixi.toml', '-e', 'sam3-nodes', 'python', 'C:\\Users\\stduser\\AppData\\Local\\Temp\\comfyui_pvenv_egxsxlza\\persistent_worker.py', 'tcp://127.0.0.1:51924']...
C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\cuda\__init__.py:180: UserWarning: cudaGetDeviceCount() returned cudaErrorNotSupported, likely using older driver or on CPU machine (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10\cuda\CUDAFunctions.cpp:88.)
return torch._C._cuda_getDeviceCount() > 0
[ComfyUI-SAM3] Health check: ok
[SubprocessWorker] worker started/confirmed
[SubprocessWorker] serializing kwargs to shm...
[SubprocessWorker] created 0 shm blocks
[SubprocessWorker] sending request via socket...
[SubprocessWorker] call_id=4 sending call_method
[SubprocessWorker] got response: ok
[comfy-env] LoadSAM3Model done (16.28s): result: NodeOutput
[comfy-env] LoadSAM3Model done (0.13s): result: NodeOutput
[comfy-env] Running SAM3Grounding: confidence_threshold: 0.2, text_prompt: 'child', max_detections: -1, sam3_model_config: dict, image: torch.float32 [1,720,1280,3] cpu
[SubprocessWorker] call_method: nodes.segmentation.SAM3Grounding.EXECUTE_NORMALIZED
[SubprocessWorker] acquired lock, ensuring started...
@@ -360,47 +345,46 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 720, 1280, 3]
[worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 720, 1280, 3])
[SubprocessWorker] callback 'request_vram_budget' from call_id=5
[comfy-env] VRAM request: 3.50GB, free before eviction: 11.63GB
[comfy-env] VRAM after eviction: 11.63GB
[comfy-env] VRAM request: 3.50GB, free before eviction: 11.04GB
[comfy-env] VRAM after eviction: 11.04GB
[worker:ComfyUI-SAM3]
=== WATCHDOG TICK 1 ===
[worker:ComfyUI-SAM3] Current thread 0x000019ec (most recent call first):
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_egxsxlza\persistent_worker.py", line 52 in _watchdog
=== WATCHDOG TICK 2 ===
[worker:ComfyUI-SAM3] Current thread 0x000027d0 (most recent call first):
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 52 in _watchdog
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 995 in run
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 1044 in _bootstrap_inner
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 1015 in _bootstrap
Thread 0x00001444 (most recent call first):
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\sub_quadratic_attention.py", line 170 in _get_attention_scores_no_kv_chunking
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\sub_quadratic_attention.py", line 259 in efficient_dot_product_attention
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 275 in attention_sub_quad
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 139 in wrapper
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\attention.py", line 120 in sam3_attention
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 729 in forward
Thread 0x000018cc (most recent call first):
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 475 in forward_comfy_cast_weights
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 482 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 819 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 147 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 983 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 823 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 2041 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3321 in _forward_image_no_act_ckpt
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3314 in forward_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\utils.py", line 1324 in set_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 983 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 2041 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3321 in _forward_image_no_act_ckpt
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3314 in forward_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\utils.py", line 1324 in set_image
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\utils\_contextlib.py", line 124 in decorate_context
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\segmentation.py", line 133 in _segment_grounding
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\segmentation.py", line 111 in execute
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy_api\latest\_io.py", line 1833 in EXECUTE_NORMALIZED
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_egxsxlza\persistent_worker.py", line 1762 in main
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_egxsxlza\persistent_worker.py", line 1807 in <module>
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\segmentation.py", line 133 in _segment_grounding
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\segmentation.py", line 111 in execute
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy_api\latest\_io.py", line 1833 in EXECUTE_NORMALIZED
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 1762 in main
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 1807 in <module>
[worker:ComfyUI-SAM3] === END ===
[SubprocessWorker] got response: ok
[comfy-env] SAM3Grounding done (103.25s): result: NodeOutput
Prompt executed in 119.87 seconds
[comfy-env] SAM3Grounding done (68.15s): result: NodeOutput
Prompt executed in 68.54 seconds
=== /validate endpoint called ===
Received JSON with keys: ['prompt']
Prompt has 10 nodes
@@ -424,7 +408,7 @@ Prompt has 10 nodes
Inputs: {"upscale_method": "nearest-exact", "width": 900, "height": 600, "crop": "center", "multiband": ["22", 0]}
Node 27: SAM3MultipromptSegmentation
Inputs: {"refinement_iterations": 0, "use_multimask": false, "sam3_model_config": ["12", 0], "image": ["1", 0], "multi_prompts": ["20", 0]}
Generated prompt_id: 1738cacb-2d6f-4ea9-bd8c-c9a9c6b13af6
Generated prompt_id: 7256c9fe-3686-4b12-9fa8-6a719c6746c9
Calling execution.validate_prompt()...
Validation result: valid=True
=== Validation PASSED ===
@@ -437,9 +421,9 @@ got prompt
[ComfyUI-SAM3] Socket unhealthy, restarting worker...
[comfy-env] sam3-nodes: Library/bin has 237 DLLs
[ComfyUI-SAM3] python: C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\python.exe
[ComfyUI-SAM3] sys_path sent to worker: ['D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI', 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-SAM3', 'C:\\Users\\stduser\\AppData\\Local\\Programs\\comfy-env\\.pixi\\envs\\sam3-nodes\\Lib\\site-packages', 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-SAM3']
[ComfyUI-SAM3] sys_path sent to worker: ['D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1230\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI', 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1230\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-SAM3', 'C:\\Users\\stduser\\AppData\\Local\\Programs\\comfy-env\\.pixi\\envs\\sam3-nodes\\Lib\\site-packages', 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1230\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-SAM3']
[SubprocessWorker] is_pixi=True, python=C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\python.exe
[SubprocessWorker] launching cmd=['C:\\Users\\stduser\\.pixi\\bin\\pixi.exe', 'run', '--as-is', '--manifest-path', 'C:\\Users\\stduser\\AppData\\Local\\Programs\\comfy-env\\pixi.toml', '-e', 'sam3-nodes', 'python', 'C:\\Users\\stduser\\AppData\\Local\\Temp\\comfyui_pvenv_egxsxlza\\persistent_worker.py', 'tcp://127.0.0.1:60017']...
[SubprocessWorker] launching cmd=['C:\\Users\\stduser\\.pixi\\bin\\pixi.exe', 'run', '--as-is', '--manifest-path', 'C:\\Users\\stduser\\AppData\\Local\\Programs\\comfy-env\\pixi.toml', '-e', 'sam3-nodes', 'python', 'C:\\Users\\stduser\\AppData\\Local\\Temp\\comfyui_pvenv_3r6pbves\\persistent_worker.py', 'tcp://127.0.0.1:59794']...
C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\cuda\__init__.py:180: UserWarning: cudaGetDeviceCount() returned cudaErrorNotSupported, likely using older driver or on CPU machine (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10\cuda\CUDAFunctions.cpp:88.)
return torch._C._cuda_getDeviceCount() > 0
[SubprocessWorker] worker started/confirmed
@@ -452,7 +436,7 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 4480, 6720, 3]
[worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 4480, 6720, 3])
[SubprocessWorker] got response: ok
[comfy-env] SAM3MultiRegionCollector done (6.64s): result: NodeOutput
[comfy-env] SAM3MultiRegionCollector done (19.08s): result: NodeOutput
[comfy-env] Running LoadSAM3Model: precision: 'fp32', compile: False
[SubprocessWorker] call_method: nodes.load_model.LoadSAM3Model.EXECUTE_NORMALIZED
[SubprocessWorker] acquired lock, ensuring started...
@@ -464,7 +448,7 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[SubprocessWorker] sending request via socket...
[SubprocessWorker] call_id=7 sending call_method
[SubprocessWorker] got response: ok
[comfy-env] LoadSAM3Model done (0.07s): result: NodeOutput
[comfy-env] LoadSAM3Model done (0.15s): result: NodeOutput
[comfy-env] Running SAM3MultipromptSegmentation: refinement_iterations: 0, use_multimask: False, sam3_model_config: dict, image: torch.float32 [1,4480,6720,3] cpu, multi_prompts: list[7]
[SubprocessWorker] call_method: nodes.segmentation.SAM3MultipromptSegmentation.EXECUTE_NORMALIZED
[SubprocessWorker] acquired lock, ensuring started...
@@ -480,40 +464,39 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 4480, 6720, 3]
[worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 4480, 6720, 3])
[SubprocessWorker] callback 'request_vram_budget' from call_id=8
[comfy-env] VRAM request: 3.50GB, free before eviction: 10.52GB
[comfy-env] VRAM after eviction: 10.52GB
[comfy-env] VRAM request: 3.50GB, free before eviction: 10.49GB
[comfy-env] VRAM after eviction: 10.49GB
[worker:ComfyUI-SAM3]
=== WATCHDOG TICK 1 ===
[worker:ComfyUI-SAM3] Current thread 0x000017a8 (most recent call first):
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_egxsxlza\persistent_worker.py", line 52 in _watchdog
[worker:ComfyUI-SAM3] Current thread 0x000019ec (most recent call first):
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 52 in _watchdog
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 995 in run
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 1044 in _bootstrap_inner
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 1015 in _bootstrap
Thread 0x00002430 (most recent call first):
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\sub_quadratic_attention.py", line 170 in _get_attention_scores_no_kv_chunking
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\sub_quadratic_attention.py", line 269 in efficient_dot_product_attention
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 275 in attention_sub_quad
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\attention.py", line 139 in wrapper
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\attention.py", line 120 in sam3_attention
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 729 in forward
Thread 0x00001ea0 (most recent call first):
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 475 in forward_comfy_cast_weights
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 482 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 819 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 144 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 983 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 823 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 2041 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3321 in _forward_image_no_act_ckpt
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3314 in forward_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\utils.py", line 1324 in set_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 983 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 2041 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3321 in _forward_image_no_act_ckpt
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3314 in forward_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\utils.py", line 1324 in set_image
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\utils\_contextlib.py", line 124 in decorate_context
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\segmentation.py", line 733 in execute
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy_api\latest\_io.py", line 1833 in EXECUTE_NORMALIZED
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_egxsxlza\persistent_worker.py", line 1762 in main
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_egxsxlza\persistent_worker.py", line 1807 in <module>
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\segmentation.py", line 733 in execute
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy_api\latest\_io.py", line 1833 in EXECUTE_NORMALIZED
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 1762 in main
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 1807 in <module>
[worker:ComfyUI-SAM3] === END ===
@@ -525,7 +508,7 @@ Thread 0x00002430 (most recent call first):
[SubprocessWorker] callback 'report_progress' from call_id=8
[SubprocessWorker] callback 'report_progress' from call_id=8
[SubprocessWorker] got response: ok
[comfy-env] SAM3MultipromptSegmentation done (97.39s): result: NodeOutput
[comfy-env] SAM3MultipromptSegmentation done (77.50s): result: NodeOutput
BatchToMultiband: Processed 1 images with 3 channels each -> 3 channels
BatchToMultiband: Processed 7 masks -> 7 channels
BatchToMultiband: Output shape torch.Size([1, 10, 4480, 6720]), channels: ['img_01_r', 'img_01_g', 'img_01_b', 'mask_01', 'mask_02', 'mask_03', 'mask_04', 'mask_05', 'mask_06', 'mask_07']
@@ -534,7 +517,7 @@ PreviewMultibandImage: Batch=1, Channels=10, Names=['img_01_r', 'img_01_g', 'img
SaveMultibandImage: Saved to output/multiband.npz
Shape: (1, 10, 600, 900)
Format: npz
Prompt executed in 115.12 seconds
Prompt executed in 106.30 seconds
=== /validate endpoint called ===
Received JSON with keys: ['prompt']
Prompt has 4 nodes
@@ -546,7 +529,7 @@ Prompt has 4 nodes
Inputs: {"precision": "auto", "compile": false}
Node 26: SAM3InteractiveCollector
Inputs: {"multi_prompts_store": "[{\"positive_points\":[{\"x\":3348.288109906738,\"y\":2452.2208696844737}],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 1\"},{\"positiv
Generated prompt_id: 0ce4428a-07ae-425d-ae35-609670e21720
Generated prompt_id: dfe60d3f-f97d-488e-a039-0eec6f4214e9
Calling execution.validate_prompt()...
Validation result: valid=True
=== Validation PASSED ===
@@ -555,22 +538,14 @@ got prompt
[SubprocessWorker] call_method: nodes.load_model.LoadSAM3Model.EXECUTE_NORMALIZED
[SubprocessWorker] acquired lock, ensuring started...
[ComfyUI-SAM3] Health check: ping (timeout=5.0s)...
[ComfyUI-SAM3] Health check: failed
[ComfyUI-SAM3] Socket unhealthy, restarting worker...
[comfy-env] sam3-nodes: Library/bin has 237 DLLs
[ComfyUI-SAM3] python: C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\python.exe
[ComfyUI-SAM3] sys_path sent to worker: ['D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI', 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-SAM3', 'C:\\Users\\stduser\\AppData\\Local\\Programs\\comfy-env\\.pixi\\envs\\sam3-nodes\\Lib\\site-packages', 'D:\\a\\comfy-gpu-ci\\comfy-gpu-ci\\test_workspaces\\SAM3-1754\\portable-comfyui\\ComfyUI_windows_portable\\ComfyUI\\custom_nodes\\ComfyUI-SAM3']
[SubprocessWorker] is_pixi=True, python=C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\python.exe
[SubprocessWorker] launching cmd=['C:\\Users\\stduser\\.pixi\\bin\\pixi.exe', 'run', '--as-is', '--manifest-path', 'C:\\Users\\stduser\\AppData\\Local\\Programs\\comfy-env\\pixi.toml', '-e', 'sam3-nodes', 'python', 'C:\\Users\\stduser\\AppData\\Local\\Temp\\comfyui_pvenv_egxsxlza\\persistent_worker.py', 'tcp://127.0.0.1:62330']...
C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\cuda\__init__.py:180: UserWarning: cudaGetDeviceCount() returned cudaErrorNotSupported, likely using older driver or on CPU machine (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10\cuda\CUDAFunctions.cpp:88.)
return torch._C._cuda_getDeviceCount() > 0
[ComfyUI-SAM3] Health check: ok
[SubprocessWorker] worker started/confirmed
[SubprocessWorker] serializing kwargs to shm...
[SubprocessWorker] created 0 shm blocks
[SubprocessWorker] sending request via socket...
[SubprocessWorker] call_id=9 sending call_method
[SubprocessWorker] got response: ok
[comfy-env] LoadSAM3Model done (7.26s): result: NodeOutput
[comfy-env] LoadSAM3Model done (0.10s): result: NodeOutput
[comfy-env] Running SAM3InteractiveCollector: multi_prompts_store: '[{"positive_points":[{"x":3348.288109906738,"y":2452.220..., sam3_model_config: dict, image: torch.float32 [1,4480,6720,3] cpu, unique_id: '26'
[SubprocessWorker] call_method: nodes.sam3_interactive.SAM3InteractiveCollector.EXECUTE_NORMALIZED
[SubprocessWorker] acquired lock, ensuring started...
@@ -586,43 +561,72 @@ C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site
[worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 4480, 6720, 3]
[worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 4480, 6720, 3])
[SubprocessWorker] callback 'request_vram_budget' from call_id=10
[comfy-env] VRAM request: 3.50GB, free before eviction: 11.00GB
[comfy-env] VRAM after eviction: 11.00GB
[comfy-env] VRAM request: 3.50GB, free before eviction: 9.10GB
[comfy-env] VRAM after eviction: 9.10GB
[worker:ComfyUI-SAM3]
=== WATCHDOG TICK 1 ===
[worker:ComfyUI-SAM3] Current thread 0x00002178 (most recent call first):
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_egxsxlza\persistent_worker.py", line 52 in _watchdog
=== WATCHDOG TICK 2 ===
[worker:ComfyUI-SAM3] Current thread 0x000019ec (most recent call first):
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 52 in _watchdog
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 995 in run
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 1044 in _bootstrap_inner
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 1015 in _bootstrap
Thread 0x00001f24 (most recent call first):
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 475 in forward_comfy_cast_weights
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 482 in forward
Thread 0x00001ea0 (most recent call first):
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 475 in forward_comfy_cast_weights
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 482 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 740 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 740 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 819 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 819 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 983 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 983 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 2041 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3321 in _forward_image_no_act_ckpt
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3314 in forward_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\utils.py", line 1324 in set_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 2041 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3321 in _forward_image_no_act_ckpt
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3314 in forward_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\utils.py", line 1324 in set_image
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\utils\_contextlib.py", line 124 in decorate_context
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3_interactive.py", line 687 in execute
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy_api\latest\_io.py", line 1833 in EXECUTE_NORMALIZED
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_egxsxlza\persistent_worker.py", line 1762 in main
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_egxsxlza\persistent_worker.py", line 1807 in <module>
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3_interactive.py", line 687 in execute
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy_api\latest\_io.py", line 1833 in EXECUTE_NORMALIZED
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 1762 in main
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 1807 in <module>
[worker:ComfyUI-SAM3] === END ===
[worker:ComfyUI-SAM3]
=== WATCHDOG TICK 3 ===
[worker:ComfyUI-SAM3] Current thread 0x000019ec (most recent call first):
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 52 in _watchdog
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 995 in run
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 1044 in _bootstrap_inner
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\threading.py", line 1015 in _bootstrap
Thread 0x00001ea0 (most recent call first):
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\conv.py", line 548 in _conv_forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 509 in forward_comfy_cast_weights
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 516 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\container.py", line 253 in forward
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1790 in _call_impl
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\nn\modules\module.py", line 1779 in _wrapped_call_impl
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 2054 in forward
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3321 in _forward_image_no_act_ckpt
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\model.py", line 3314 in forward_image
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3\utils.py", line 1324 in set_image
File "C:\Users\stduser\AppData\Local\Programs\comfy-env\.pixi\envs\sam3-nodes\Lib\site-packages\torch\utils\_contextlib.py", line 124 in decorate_context
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\nodes\sam3_interactive.py", line 687 in execute
File "D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\comfy_api\latest\_io.py", line 1833 in EXECUTE_NORMALIZED
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 1762 in main
File "C:\Users\stduser\AppData\Local\Temp\comfyui_pvenv_3r6pbves\persistent_worker.py", line 1807 in <module>
[worker:ComfyUI-SAM3] === END ===
[SubprocessWorker] callback 'report_progress' from call_id=10
[SubprocessWorker] got response: ok
[comfy-env] SAM3InteractiveCollector done (80.30s): result: NodeOutput
Prompt executed in 89.38 seconds
[comfy-env] SAM3InteractiveCollector done (71.37s): result: NodeOutput
Prompt executed in 73.11 seconds
dev/windows-portable-cpu/session.log
+294 -319
View File
@@ -1,4 +1,4 @@
[00:00] Crash dump logging enabled: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1754\dev\windows-portable-cpu\crash_dump.log
[00:00] Crash dump logging enabled: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1230\dev\windows-portable-cpu\crash_dump.log
[00:00]
[00:00] [1/5] SYNTAX
[00:00] ----------------------------------------
@@ -17,96 +17,96 @@
[00:00]
Setting up ComfyUI...
[00:00] Fetching latest release version...
[00:01] Latest version: v0.21.0
[00:01] Downloading portable ComfyUI from https://github.com/comfyanonymous/ComfyUI/releases/download/v0.21.0/ComfyUI_windows_portable_nvidia.7z...
[00:03] Downloaded: 10%
[00:04] Downloaded: 20%
[00:05] Downloaded: 30%
[00:06] Downloaded: 40%
[00:07] Downloaded: 50%
[00:08] Downloaded: 60%
[00:09] Downloaded: 70%
[00:10] Downloaded: 80%
[00:11] Downloaded: 90%
[00:13] Downloaded: 100%
[00:13] Downloaded to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.0.7z
[00:13] Extracting to cache: C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.0
[00:13] Extracting ComfyUI_portable_v0.21.0.7z...
[00:13] Using 7z: 7z
[02:13] Extracted to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.0
[02:13] Copying from cache to: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui
[02:38] Installing uv into embedded Python...
[02:38] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install uv
[02:41] Installing ComfyUI requirements...
[02:41] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m uv pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\requirements.txt
[02:42]
[00:00] Latest version: v0.21.1
[00:00] Downloading portable ComfyUI from https://github.com/comfyanonymous/ComfyUI/releases/download/v0.21.1/ComfyUI_windows_portable_nvidia.7z...
[00:02] Downloaded: 10%
[00:03] Downloaded: 20%
[00:04] Downloaded: 30%
[00:05] Downloaded: 40%
[00:06] Downloaded: 50%
[00:07] Downloaded: 60%
[00:08] Downloaded: 70%
[00:08] Downloaded: 80%
[00:09] Downloaded: 90%
[00:10] Downloaded: 100%
[00:10] Downloaded to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1.7z
[00:10] Extracting to cache: C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
[00:10] Extracting ComfyUI_portable_v0.21.1.7z...
[00:10] Using 7z: 7z
[02:15] Extracted to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
[02:15] Copying from cache to: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui
[02:49] Installing uv into embedded Python...
[02:49] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install uv
[02:52] Installing ComfyUI requirements...
[02:52] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m uv pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\requirements.txt
[02:52]
Installing custom node...
[02:42] Copying ComfyUI-SAM3 to custom_nodes/...
[02:42] Installing node requirements...
[02:42] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\requirements.txt
[02:46]
[02:52] Copying ComfyUI-SAM3 to custom_nodes/...
[02:53] Installing node requirements...
[02:53] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\requirements.txt
[02:56]
Running install.py...
[02:46] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\install.py
[02:47] [comfy-env] WARNING: Could not enable long paths (needs admin)
[02:47]
[02:47] Installing 2 node dependencies...
[02:47] Cloning ComfyUI-VideoHelperSuite...
[02:47] Installing requirements for ComfyUI-VideoHelperSuite...
[02:49] Cloning ComfyUI-Multiband...
[02:49] Installing requirements for ComfyUI-Multiband...
[02:50]
[02:50] [requirements] Re-installing main package requirements...
[02:50] Installing requirements for ComfyUI-SAM3...
[02:52] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
[02:52] [comfy-env] _discover: ComfyUI-Multiband: no comfy-env.toml found
[02:52] [comfy-env] _discover: ComfyUI-SAM3 -> sam3-nodes (custom_nodes\ComfyUI-SAM3\nodes\comfy-env.toml)
[02:52] [comfy-env] _discover: ComfyUI-VideoHelperSuite: no comfy-env.toml found
[02:52] [comfy-env] Workspace: C:\Users\stduser\AppData\Local\Programs\comfy-env
[02:52] [comfy-env] ComfyUI: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI
[02:52] [comfy-env] Found 1 node config(s):
[02:52] - sam3-nodes <- custom_nodes\ComfyUI-SAM3\nodes\comfy-env.toml (python=host)
[02:52] [comfy-env] Bootstrap interpreter has python 3.13 + torch 2.11.0 (cu130). Looking for cuda-only wheels matching cu130/torch2.11/cp313.
[02:54] [comfy-env] GPU: No GPU detected
[02:54] [comfy-env] Comfyui feature -> torch 2.11.0 from https://download.pytorch.org/whl/cu130 (CUDA 13.0 via bootstrap torch)
[02:54] [comfy-env] cuda-wheels: 3 package(s) need a matched (cuda, torch, python) combo: ['cc_torch', 'torch_generic_nms', 'flash-attn']
[02:54] [comfy-env] cuda-wheels tier 1 (bootstrap): probing cu13.0/torch2.11/cp313
[02:54] [cuda-wheels] Looking up cc_torch: cu130 torch2.11 cp313 win_amd64
[02:55] [cuda-wheels] GH Pages index unreachable, falling back to GitHub Releases API...
[02:58] [cuda-wheels] Found via API: cc_torch-0.2+cu130torch2.11-cp313-cp313-win_amd64.whl
[02:58] [cuda-wheels] Looking up torch_generic_nms: cu130 torch2.11 cp313 win_amd64
[02:59] [cuda-wheels] Found: torch_generic_nms-0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
[02:59] [cuda-wheels] Looking up flash-attn: cu130 torch2.11 cp313 win_amd64
[02:59] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
[02:59] [comfy-env] cuda-wheels combo: cu13.0/torch2.11 (bootstrap matches; per-node envs will pin to this)
[02:59] [cuda-wheels] Looking up cc_torch: cu130 torch2.11 cp313 win_amd64
[03:00] [cuda-wheels] GH Pages index unreachable, falling back to GitHub Releases API...
[03:01] [cuda-wheels] Found via API: cc_torch-0.2+cu130torch2.11-cp313-cp313-win_amd64.whl
[03:01] [cuda-wheels] Looking up torch_generic_nms: cu130 torch2.11 cp313 win_amd64
[03:01] [cuda-wheels] Found: torch_generic_nms-0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
[03:01] [cuda-wheels] Looking up flash-attn: cu130 torch2.11 cp313 win_amd64
[03:02] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
[03:02] [comfy-env] sam3-nodes: cuda-wheels deferred for post-pixi install (cc_torch, torch_generic_nms, flash-attn)
[03:02] Generated C:\Users\stduser\AppData\Local\Programs\comfy-env\pixi.toml
[03:02] [comfy-env] Installing 1 environment(s):
[03:02] - sam3-nodes (python=host, 20 pypi deps, 3 cuda wheels)
[03:02] [comfy-env] Running `pixi install -e sam3-nodes`...
[03:23] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
[03:23] - Scripts/.librsvg-pre-unlink.bat
[03:23] To enable them, run:
[03:23] pixi config set --local run-post-link-scripts insecure
[03:23] More info:
[03:23] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
[04:21] The sam3-nodes environment has been installed.
[04:21] [comfy-env] sam3-nodes: installing cuda-wheels with --no-deps (cc_torch, torch_generic_nms, flash-attn)
[04:21] Using Python 3.13.13 environment at: .pixi\envs\sam3-nodes
[04:22] Resolved 3 packages in 578ms
[04:22] Downloading flash-attn (228.4MiB)
[04:26] Downloaded flash-attn
[04:26] Prepared 3 packages in 4.20s
[04:30] Installed 3 packages in 4.30s
[04:30] + cc-torch==0.2+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/cc_torch-latest/cc_torch-0.2%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
[04:30] + 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)
[04:30] + torch-generic-nms==0.1+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/torch_generic_nms-latest/torch_generic_nms-0.1%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
[02:56] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\install.py
[02:56] [comfy-env] WARNING: Could not enable long paths (needs admin)
[02:56]
[02:56] Installing 2 node dependencies...
[02:56] Cloning ComfyUI-VideoHelperSuite...
[02:57] Installing requirements for ComfyUI-VideoHelperSuite...
[02:58] Cloning ComfyUI-Multiband...
[02:58] Installing requirements for ComfyUI-Multiband...
[02:59]
[02:59] [requirements] Re-installing main package requirements...
[02:59] Installing requirements for ComfyUI-SAM3...
[03:00] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
[03:01] [comfy-env] _discover: ComfyUI-Multiband: no comfy-env.toml found
[03:01] [comfy-env] _discover: ComfyUI-SAM3 -> sam3-nodes (custom_nodes\ComfyUI-SAM3\nodes\comfy-env.toml)
[03:01] [comfy-env] _discover: ComfyUI-VideoHelperSuite: no comfy-env.toml found
[03:01] [comfy-env] Workspace: C:\Users\stduser\AppData\Local\Programs\comfy-env
[03:01] [comfy-env] ComfyUI: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI
[03:01] [comfy-env] Found 1 node config(s):
[03:01] - sam3-nodes <- custom_nodes\ComfyUI-SAM3\nodes\comfy-env.toml (python=host)
[03:01] [comfy-env] Bootstrap interpreter has python 3.13 + torch 2.11.0 (cu130). Looking for cuda-only wheels matching cu130/torch2.11/cp313.
[03:02] [comfy-env] GPU: No GPU detected
[03:02] [comfy-env] Comfyui feature -> torch 2.11.0 from https://download.pytorch.org/whl/cu130 (CUDA 13.0 via bootstrap torch)
[03:02] [comfy-env] cuda-wheels: 3 package(s) need a matched (cuda, torch, python) combo: ['cc_torch', 'torch_generic_nms', 'flash-attn']
[03:02] [comfy-env] cuda-wheels tier 1 (bootstrap): probing cu13.0/torch2.11/cp313
[03:02] [cuda-wheels] Looking up cc_torch: cu130 torch2.11 cp313 win_amd64
[03:03] [cuda-wheels] GH Pages index unreachable, falling back to GitHub Releases API...
[03:07] [cuda-wheels] Found via API: cc_torch-0.2+cu130torch2.11-cp313-cp313-win_amd64.whl
[03:07] [cuda-wheels] Looking up torch_generic_nms: cu130 torch2.11 cp313 win_amd64
[03:07] [cuda-wheels] Found: torch_generic_nms-0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
[03:07] [cuda-wheels] Looking up flash-attn: cu130 torch2.11 cp313 win_amd64
[03:07] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
[03:07] [comfy-env] cuda-wheels combo: cu13.0/torch2.11 (bootstrap matches; per-node envs will pin to this)
[03:07] [cuda-wheels] Looking up cc_torch: cu130 torch2.11 cp313 win_amd64
[03:08] [cuda-wheels] GH Pages index unreachable, falling back to GitHub Releases API...
[03:08] [cuda-wheels] Found via API: cc_torch-0.2+cu130torch2.11-cp313-cp313-win_amd64.whl
[03:08] [cuda-wheels] Looking up torch_generic_nms: cu130 torch2.11 cp313 win_amd64
[03:09] [cuda-wheels] Found: torch_generic_nms-0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
[03:09] [cuda-wheels] Looking up flash-attn: cu130 torch2.11 cp313 win_amd64
[03:09] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
[03:09] [comfy-env] sam3-nodes: cuda-wheels deferred for post-pixi install (cc_torch, torch_generic_nms, flash-attn)
[03:09] Generated C:\Users\stduser\AppData\Local\Programs\comfy-env\pixi.toml
[03:09] [comfy-env] Installing 1 environment(s):
[03:09] - sam3-nodes (python=host, 20 pypi deps, 3 cuda wheels)
[03:09] [comfy-env] Running `pixi install -e sam3-nodes`...
[03:31] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
[03:31] - Scripts/.librsvg-pre-unlink.bat
[03:31] To enable them, run:
[03:31] pixi config set --local run-post-link-scripts insecure
[03:31] More info:
[03:31] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
[04:24] The sam3-nodes environment has been installed.
[04:24] [comfy-env] sam3-nodes: installing cuda-wheels with --no-deps (cc_torch, torch_generic_nms, flash-attn)
[04:24] Using Python 3.13.13 environment at: .pixi\envs\sam3-nodes
[04:24] Resolved 3 packages in 348ms
[04:24] Downloading flash-attn (228.4MiB)
[04:29] Downloaded flash-attn
[04:29] Prepared 3 packages in 5.17s
[04:31] Installed 3 packages in 1.27s
[04:31] + cc-torch==0.2+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/cc_torch-latest/cc_torch-0.2%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
[04:31] + 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)
[04:31] + torch-generic-nms==0.1+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/torch_generic_nms-latest/torch_generic_nms-0.1%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
[04:31] [comfy-env] Recorded install hash c03d3fc5aee8 -> C:\Users\stduser\AppData\Local\Programs\comfy-env\install.hash
[04:31] [comfy-env] Install log: C:\Users\stduser\AppData\Local\Programs\comfy-env\install.log
[04:31]
@@ -118,7 +118,7 @@ Running install.py...
[04:31] ComfyUI-Multiband already exists, skipping...
[04:31] Installing validation endpoint...
[04:31] Cloning PozzettiAndrea/ComfyUI-validate-endpoint...
[04:31] Running: git clone --depth 1 https://github.com/PozzettiAndrea/ComfyUI-validate-endpoint.git D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-validate-endpoint
[04:31] Running: git clone --depth 1 https://github.com/PozzettiAndrea/ComfyUI-validate-endpoint.git D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-validate-endpoint
[04:32] CUDA packages absent (will mock): cc_torch, torch_generic_nms, flash_attn
[04:32] [INSTALL] PASSED
[04:32]
@@ -128,237 +128,212 @@ Running install.py...
[DEBUG] server=None, server_url=None, api=None
[04:32]
Starting ComfyUI server...
[04:32] Starting ComfyUI server on port 41891...
[04:32] Starting ComfyUI server on port 41895...
[04:32] CUDA mock packages: cc_torch, torch_generic_nms, flash_attn
[04:32] Starting ComfyUI server on port 41891...
[04:32] Server stdout/stderr -> D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1754\server.log
[04:32] Starting ComfyUI server on port 41895...
[04:32] Server stdout/stderr -> D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-1230\server.log
[04:32] Waiting for server to be ready (timeout: 600s)...
[04:32] [ComfyUI:stdout] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
[04:32] [ComfyUI:stderr] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
[05:10] Server responding, waiting for nodes to load...
[05:30] Server is ready!
[05:30] Checking for import errors in server logs...
[05:30] No import errors detected
[05:30] Found 775 registered nodes
[05:30] [REGISTRATION] PASSED
[05:30]
[05:30] [4/5] INSTANTIATION
[05:30] ----------------------------------------
[05:30]
[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x000001756C7C7410>, server_url=None, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x000001756D512180>
[05:30] Testing node constructors...
[05:35] All 15 node(s) instantiated successfully!
[05:35] [INSTANTIATION] PASSED
[05:35]
[05:35] [5/5] EXECUTION
[05:35] ----------------------------------------
[05:35]
[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x000001756C7C7410>, server_url=None, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x000001756D512180>
[05:35] CPU runner - will execute 4 workflow(s)
[05:35] Running 5 workflow(s) (all with videos)...
[05:35] Installing screenshot dependencies (playwright, pillow)...
[05:38] Packages installed, downloading chromium browser...
[05:52] Screenshot dependencies installed successfully
[05:53] Starting headless browser...
[05:53] Downloading Mesa llvmpipe for Windows...
[05:58] Copied opengl32.dll to Chromium dir
[05:58] Copied libgallium_wgl.dll to Chromium dir
[05:58] Using Mesa llvmpipe (desktop GL) -- multithreaded CPU rendering
[05:58] Capturing execution frames: image_seg_point.json
[06:07] Frame 1 saved (frame_000.jpg, t=0.0s)
[06:07] Validating workflow...
[06:07] Queuing workflow for execution...
[06:10] Frame 2 saved (frame_001.jpg, t=2.3s)
[06:10] [capture-periodic] freeze=4ms shot=155ms unfreeze=6ms saved=True
[06:12] Frame 3 saved (frame_002.jpg, t=4.6s)
[06:12] [capture-periodic] freeze=6ms shot=123ms unfreeze=5ms saved=True
[06:13] Node executed (1 total), capturing...
[06:13] Frame 4 saved (frame_003.jpg, t=5.8s)
[06:13] [capture-node] freeze=6ms shot=148ms unfreeze=3ms saved=True
[06:14] [capture-loop] iter=50 t=6.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.1/16.0GB (38%) swap=0.2/2.9GB (7%) cpu=64% browser_rss=0.69GB
[06:15] Frame 5 saved (frame_004.jpg, t=8.1s)
[06:15] [capture-periodic] freeze=4ms shot=146ms unfreeze=4ms saved=True
[06:18] Frame 6 saved (frame_005.jpg, t=10.3s)
[06:18] [capture-periodic] freeze=14ms shot=147ms unfreeze=4ms saved=True
[06:20] [capture-loop] iter=100 t=12.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.8/16.0GB (42%) swap=0.4/2.9GB (13%) cpu=73% browser_rss=0.71GB
[06:20] Frame 7 saved (frame_006.jpg, t=12.6s)
[06:20] [capture-periodic] freeze=5ms shot=142ms unfreeze=9ms saved=True
[06:22] Frame 8 saved (frame_007.jpg, t=14.9s)
[06:22] [capture-periodic] freeze=17ms shot=166ms unfreeze=4ms saved=True
[06:25] Frame 9 saved (frame_008.jpg, t=17.3s)
[06:25] [capture-periodic] freeze=4ms shot=148ms unfreeze=7ms saved=True
[06:26] [capture-loop] iter=150 t=18.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.4/16.0GB (46%) swap=0.4/2.9GB (13%) cpu=73% browser_rss=0.75GB
[06:27] Frame 10 saved (frame_009.jpg, t=19.5s)
[06:27] [capture-periodic] freeze=5ms shot=155ms unfreeze=8ms saved=True
[06:29] Frame 11 saved (frame_010.jpg, t=21.9s)
[06:29] [capture-periodic] freeze=4ms shot=247ms unfreeze=6ms saved=True
[06:31] Frame 12 saved (frame_011.jpg, t=24.1s)
[06:31] [capture-periodic] freeze=4ms shot=189ms unfreeze=7ms saved=True
[06:32] [capture-loop] iter=200 t=25.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.8/16.0GB (49%) swap=0.4/2.9GB (13%) cpu=76% browser_rss=0.65GB
[06:34] Frame 13 saved (frame_012.jpg, t=26.5s)
[06:34] [capture-periodic] freeze=4ms shot=175ms unfreeze=6ms saved=True
[06:36] Frame 14 saved (frame_013.jpg, t=28.8s)
[06:36] [capture-periodic] freeze=2ms shot=119ms unfreeze=6ms saved=True
[06:38] [capture-loop] iter=250 t=30.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=7.7/16.0GB (48%) swap=0.4/2.9GB (13%) cpu=64% browser_rss=0.65GB
[06:44] [capture-loop] iter=300 t=36.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.6/16.0GB (48%) swap=0.4/2.9GB (13%) cpu=73% browser_rss=0.64GB
[06:50] [capture-loop] iter=350 t=43.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=0.4/2.9GB (13%) cpu=86% browser_rss=0.63GB
[06:56] [capture-loop] iter=400 t=48.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=8.0/16.0GB (50%) swap=0.4/2.9GB (13%) cpu=85% browser_rss=0.63GB
[07:02] [capture-loop] iter=450 t=54.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=9 ram=5.9/16.0GB (37%) swap=1.1/2.9GB (37%) cpu=64% browser_rss=0.38GB
[07:08] [capture-loop] iter=500 t=60.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=5.9/16.0GB (37%) swap=1.1/2.9GB (37%) cpu=64% browser_rss=0.38GB
[07:14] [capture-loop] iter=550 t=66.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.1/16.0GB (38%) swap=1.0/2.9GB (36%) cpu=68% browser_rss=0.39GB
[07:20] [capture-loop] iter=600 t=72.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.4/16.0GB (40%) swap=1.0/2.9GB (36%) cpu=79% browser_rss=0.39GB
[07:26] [capture-loop] iter=650 t=78.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.3/16.0GB (39%) swap=1.0/2.9GB (36%) cpu=74% browser_rss=0.39GB
[07:31] [capture-loop] iter=700 t=84.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.6/16.0GB (47%) swap=1.0/2.9GB (36%) cpu=79% browser_rss=0.39GB
[07:37] [capture-loop] iter=750 t=90.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.5/16.0GB (41%) swap=1.0/2.9GB (35%) cpu=73% browser_rss=0.39GB
[07:43] [capture-loop] iter=800 t=96.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.6/16.0GB (41%) swap=1.0/2.9GB (35%) cpu=75% browser_rss=0.40GB
[07:49] [capture-loop] iter=850 t=102.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=10 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=83% browser_rss=0.40GB
[07:55] [capture-loop] iter=900 t=108.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.9/16.0GB (43%) swap=1.0/2.9GB (35%) cpu=58% browser_rss=0.39GB
[07:59] Node executed (3 total), capturing...
[07:59] Frame 15 saved (frame_014.jpg, t=111.6s)
[07:59] [capture-node] freeze=4ms shot=136ms unfreeze=0ms saved=True
[07:59] Execution complete (t=111.6s)
[07:59] Captured 15 unique frames over 111.83s
[07:59] [debug] iframes: 0
[07:59] [timing] trigger_3d_previews: 0.0s
[08:01] Saved high-quality screenshot: image_seg_point_executed.png
[08:01] [timing] final_screenshot: 0.3s
[08:02] Capturing execution frames: image_seg_text.json
[08:08] Frame 1 saved (frame_000.jpg, t=0.0s)
[08:08] Validating workflow...
[08:08] Queuing workflow for execution...
[08:10] Frame 2 saved (frame_001.jpg, t=2.4s)
[08:10] [capture-periodic] freeze=5ms shot=116ms unfreeze=4ms saved=True
[08:13] Frame 3 saved (frame_002.jpg, t=4.6s)
[08:13] [capture-periodic] freeze=3ms shot=100ms unfreeze=3ms saved=True
[08:14] [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=4.5/16.0GB (28%) swap=0.9/2.9GB (31%) cpu=42% browser_rss=0.60GB
[08:19] [capture-loop] iter=100 t=11.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=4.9/16.0GB (31%) swap=0.9/2.9GB (31%) cpu=20% browser_rss=0.59GB
[08:25] [capture-loop] iter=150 t=17.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.1/16.0GB (32%) swap=0.9/2.9GB (31%) cpu=23% browser_rss=0.59GB
[08:26] Frame 4 saved (frame_003.jpg, t=17.5s)
[08:26] [capture-periodic] freeze=3ms shot=103ms unfreeze=6ms saved=True
[08:28] Frame 5 saved (frame_004.jpg, t=19.6s)
[08:28] [capture-periodic] freeze=3ms shot=131ms unfreeze=5ms saved=True
[08:31] [capture-loop] iter=200 t=23.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=0.9/2.9GB (31%) cpu=48% browser_rss=0.59GB
[08:37] [capture-loop] iter=250 t=28.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.5/16.0GB (35%) swap=0.9/2.9GB (31%) cpu=59% browser_rss=0.51GB
[08:42] [capture-loop] iter=300 t=34.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.9/2.9GB (31%) cpu=59% browser_rss=0.51GB
[08:49] [capture-loop] iter=350 t=40.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=115 ram=6.0/16.0GB (37%) swap=0.9/2.9GB (31%) cpu=69% browser_rss=0.51GB
[09:04] [capture-loop] iter=400 t=55.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.9/16.0GB (37%) swap=1.1/2.9GB (39%) cpu=98% browser_rss=0.50GB
[09:09] [capture-loop] iter=450 t=61.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (38%) swap=1.1/2.9GB (39%) cpu=80% browser_rss=0.50GB
[09:15] [capture-loop] iter=500 t=67.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (39%) swap=1.1/2.9GB (39%) cpu=78% browser_rss=0.50GB
[09:21] [capture-loop] iter=550 t=73.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=21 ram=6.4/16.0GB (40%) swap=1.1/2.9GB (39%) cpu=85% browser_rss=0.50GB
[09:27] [capture-loop] iter=600 t=79.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.4/16.0GB (40%) swap=1.1/2.9GB (39%) cpu=86% browser_rss=0.50GB
[09:33] [capture-loop] iter=650 t=85.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.5/16.0GB (41%) swap=1.1/2.9GB (39%) cpu=77% browser_rss=0.49GB
[09:39] [capture-loop] iter=700 t=91.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.7/16.0GB (42%) swap=1.1/2.9GB (39%) cpu=76% browser_rss=0.48GB
[09:45] [capture-loop] iter=750 t=97.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.8/16.0GB (43%) swap=1.1/2.9GB (39%) cpu=81% browser_rss=0.48GB
[09:51] [capture-loop] iter=800 t=102.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.1/2.9GB (39%) cpu=73% browser_rss=0.48GB
[09:57] [capture-loop] iter=850 t=108.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.4/16.0GB (52%) swap=1.1/2.9GB (39%) cpu=76% browser_rss=0.48GB
[10:03] [capture-loop] iter=900 t=114.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.3/16.0GB (52%) swap=1.2/2.9GB (42%) cpu=88% browser_rss=0.48GB
[10:08] Node executed (1 total), capturing...
[10:08] Frame 6 saved (frame_005.jpg, t=120.1s)
[10:08] [capture-node] freeze=6ms shot=115ms unfreeze=4ms saved=True
[10:08] Node executed (2 total), capturing...
[10:09] Frame 7 saved (frame_006.jpg, t=120.5s)
[10:09] [capture-node] freeze=4ms shot=122ms unfreeze=0ms saved=True
[10:09] Execution complete (t=120.5s)
[10:09] Captured 7 unique frames over 120.68s
[10:09] [debug] iframes: 0
[10:09] [timing] trigger_3d_previews: 0.0s
[10:11] Saved high-quality screenshot: image_seg_text_executed.png
[10:11] [timing] final_screenshot: 0.2s
[10:11] Capturing execution frames: scene_seg.json
[10:18] Frame 1 saved (frame_000.jpg, t=0.0s)
[10:18] Validating workflow...
[10:18] Queuing workflow for execution...
[10:20] Frame 2 saved (frame_001.jpg, t=2.2s)
[10:20] [capture-periodic] freeze=4ms shot=111ms unfreeze=8ms saved=True
[10:22] Frame 3 saved (frame_002.jpg, t=4.5s)
[10:22] [capture-periodic] freeze=3ms shot=119ms unfreeze=4ms saved=True
[10:24] [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=1.2/2.9GB (41%) cpu=61% browser_rss=0.92GB
[10:26] Node executed (1 total), capturing...
[10:26] Frame 4 saved (frame_003.jpg, t=8.5s)
[10:26] [capture-node] freeze=7ms shot=282ms unfreeze=4ms saved=True
[10:30] [capture-loop] iter=100 t=12.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.4/16.0GB (40%) swap=1.2/2.9GB (41%) cpu=73% browser_rss=1.39GB
[10:36] [capture-loop] iter=150 t=18.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.7/16.0GB (42%) swap=1.2/2.9GB (41%) cpu=85% browser_rss=1.38GB
[10:42] [capture-loop] iter=200 t=24.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=86% browser_rss=1.32GB
[10:48] [capture-loop] iter=250 t=30.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.32GB
[10:55] [capture-loop] iter=300 t=37.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.2/16.0GB (45%) swap=1.2/2.9GB (41%) cpu=87% browser_rss=1.43GB
[11:01] [capture-loop] iter=350 t=43.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.0/16.0GB (50%) swap=1.2/2.9GB (41%) cpu=81% browser_rss=1.37GB
[11:07] [capture-loop] iter=400 t=49.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.37GB
[11:13] [capture-loop] iter=450 t=55.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB
[11:19] [capture-loop] iter=500 t=61.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=9.6/16.0GB (60%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB
[11:25] [capture-loop] iter=550 t=67.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (48%) swap=1.3/2.9GB (44%) cpu=80% browser_rss=1.37GB
[11:31] [capture-loop] iter=600 t=73.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.8/16.0GB (49%) swap=1.3/2.9GB (44%) cpu=77% browser_rss=1.37GB
[11:37] [capture-loop] iter=650 t=79.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=10.4/16.0GB (65%) swap=1.3/2.9GB (44%) cpu=81% browser_rss=1.37GB
[11:43] [capture-loop] iter=700 t=85.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (52%) swap=1.3/2.9GB (44%) cpu=83% browser_rss=1.37GB
[11:46] Frame 5 saved (frame_004.jpg, t=88.2s)
[11:46] [capture-periodic] freeze=11ms shot=192ms unfreeze=15ms saved=True
[11:48] Frame 6 saved (frame_005.jpg, t=90.5s)
[11:48] [capture-periodic] freeze=4ms shot=225ms unfreeze=15ms saved=True
[11:49] [capture-loop] iter=750 t=91.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=9.8/16.0GB (61%) swap=1.3/2.9GB (44%) cpu=93% browser_rss=1.38GB
[11:51] Frame 7 saved (frame_006.jpg, t=92.8s)
[11:51] [capture-periodic] freeze=4ms shot=196ms unfreeze=6ms saved=True
[11:56] [capture-loop] iter=800 t=98.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=21 ram=10.9/16.0GB (68%) swap=1.3/2.9GB (44%) cpu=96% browser_rss=1.38GB
[12:02] [capture-loop] iter=850 t=104.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.6/16.0GB (60%) swap=1.3/2.9GB (44%) cpu=95% browser_rss=1.37GB
[12:04] Frame 8 saved (frame_007.jpg, t=106.6s)
[12:04] [capture-periodic] freeze=4ms shot=169ms unfreeze=5ms saved=True
[12:08] [capture-loop] iter=900 t=110.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=9.4/16.0GB (59%) swap=1.3/2.9GB (44%) cpu=59% browser_rss=1.37GB
[12:10] Node executed (2 total), capturing...
[12:10] Frame 9 saved (frame_008.jpg, t=112.2s)
[12:10] [capture-node] freeze=5ms shot=164ms unfreeze=4ms saved=True
[12:11] Node executed (3 total), capturing...
[12:12] Frame 10 saved (frame_009.jpg, t=113.8s)
[12:12] [capture-node] freeze=62ms shot=208ms unfreeze=20ms saved=True
[12:12] Node executed (4 total), capturing...
[12:13] Frame 11 saved (frame_010.jpg, t=115.1s)
[12:13] [capture-node] freeze=5ms shot=229ms unfreeze=10ms saved=True
[12:13] Execution complete (t=115.5s)
[12:13] Captured 11 unique frames over 115.48s
[12:13] [debug] iframes: 0
[12:13] [timing] trigger_3d_previews: 0.0s
[12:15] Saved high-quality screenshot: scene_seg_executed.png
[12:15] [timing] final_screenshot: 0.3s
[12:16] Capturing execution frames: scene_seg_interactive.json
[12:22] Frame 1 saved (frame_000.jpg, t=0.0s)
[12:22] Validating workflow...
[12:22] Queuing workflow for execution...
[12:24] Frame 2 saved (frame_001.jpg, t=2.2s)
[12:24] [capture-periodic] freeze=3ms shot=128ms unfreeze=4ms saved=True
[12:27] Frame 3 saved (frame_002.jpg, t=4.5s)
[12:27] [capture-periodic] freeze=167ms shot=102ms unfreeze=4ms saved=True
[12:28] [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (37%) swap=2.4/2.9GB (82%) cpu=60% browser_rss=1.16GB
[12:31] Frame 4 saved (frame_003.jpg, t=9.1s)
[12:31] [capture-periodic] freeze=3ms shot=141ms unfreeze=5ms saved=True
[12:34] [capture-loop] iter=100 t=12.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=5.9/16.0GB (37%) swap=2.7/2.9GB (95%) cpu=64% browser_rss=1.10GB
[12:40] [capture-loop] iter=150 t=17.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (39%) swap=2.7/2.9GB (95%) cpu=81% browser_rss=1.09GB
[12:46] [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (40%) swap=2.7/2.9GB (95%) cpu=83% browser_rss=1.09GB
[12:51] [capture-loop] iter=250 t=29.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.5/16.0GB (40%) swap=2.7/2.9GB (95%) cpu=80% browser_rss=1.09GB
[12:57] [capture-loop] iter=300 t=35.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.1/16.0GB (44%) swap=2.7/2.9GB (95%) cpu=76% browser_rss=1.09GB
[13:05] [capture-loop] iter=350 t=43.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (51%) swap=2.7/2.9GB (94%) cpu=71% browser_rss=1.03GB
[13:11] [capture-loop] iter=400 t=48.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.8/16.0GB (43%) swap=2.7/2.9GB (92%) cpu=62% browser_rss=1.03GB
[13:16] [capture-loop] iter=450 t=54.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.0/16.0GB (44%) swap=2.7/2.9GB (92%) cpu=53% browser_rss=1.03GB
[13:22] [capture-loop] iter=500 t=60.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=2.7/2.9GB (92%) cpu=61% browser_rss=1.02GB
[13:28] [capture-loop] iter=550 t=66.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=2.7/2.9GB (92%) cpu=55% browser_rss=1.03GB
[13:34] [capture-loop] iter=600 t=71.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=2.7/2.9GB (92%) cpu=59% browser_rss=1.02GB
[13:40] [capture-loop] iter=650 t=77.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=12 ram=7.6/16.0GB (48%) swap=2.7/2.9GB (92%) cpu=73% browser_rss=1.02GB
[13:46] [capture-loop] iter=700 t=83.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.8/16.0GB (49%) swap=2.7/2.9GB (92%) cpu=80% browser_rss=1.02GB
[13:49] Frame 5 saved (frame_004.jpg, t=86.6s)
[13:49] [capture-periodic] freeze=3ms shot=133ms unfreeze=5ms saved=True
[13:52] Node executed (1 total), capturing...
[13:52] Frame 6 saved (frame_005.jpg, t=90.0s)
[13:52] [capture-node] freeze=58ms shot=527ms unfreeze=4ms saved=True
[13:53] Node executed (2 total), capturing...
[13:53] Frame 7 saved (frame_006.jpg, t=90.8s)
[13:53] [capture-node] freeze=4ms shot=153ms unfreeze=0ms saved=True
[13:53] Execution complete (t=90.8s)
[13:53] Captured 7 unique frames over 91.01s
[13:53] [debug] iframes: 0
[13:53] [timing] trigger_3d_previews: 0.0s
[13:55] Saved high-quality screenshot: scene_seg_interactive_executed.png
[13:55] [timing] final_screenshot: 0.3s
[13:55] [5/5] SKIPPED (not in cpu list) video_point_prompt.json
[13:56] Results saved to D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1754\dev\windows-portable-cpu\results.json
[13:56] Model report: 9 files, 3.2 GB -> D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1754\dev\windows-portable-cpu\models.json
[13:56] Saved: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1754\dev\windows-portable-cpu\index.html
[13:56] [EXECUTION] PASSED
[13:56]
[04:58] Server responding, waiting for nodes to load...
[05:18] Server is ready!
[05:18] Checking for import errors in server logs...
[05:18] No import errors detected
[05:18] Found 785 registered nodes
[05:18] [REGISTRATION] PASSED
[05:18]
[05:18] [4/5] INSTANTIATION
[05:18] ----------------------------------------
[05:18]
[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x0000018FD9905890>, server_url=None, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x0000018FD991E690>
[05:18] Testing node constructors...
[05:21] All 15 node(s) instantiated successfully!
[05:21] [INSTANTIATION] PASSED
[05:21]
[05:21] [5/5] EXECUTION
[05:21] ----------------------------------------
[05:21]
[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x0000018FD9905890>, server_url=None, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x0000018FD991E690>
[05:21] CPU runner - will execute 4 workflow(s)
[05:21] Running 5 workflow(s) (all with videos)...
[05:22] Installing screenshot dependencies (playwright, pillow)...
[05:28] Packages installed, downloading chromium browser...
[05:43] Screenshot dependencies installed successfully
[05:43] Starting headless browser...
[05:44] Downloading Mesa llvmpipe for Windows...
[05:49] Copied opengl32.dll to Chromium dir
[05:49] Copied libgallium_wgl.dll to Chromium dir
[05:49] Using Mesa llvmpipe (desktop GL) -- multithreaded CPU rendering
[05:50] Capturing execution frames: image_seg_point.json
[05:58] Frame 1 saved (frame_000.jpg, t=0.0s)
[05:58] Validating workflow...
[05:58] Queuing workflow for execution...
[06:01] Frame 2 saved (frame_001.jpg, t=2.4s)
[06:01] [capture-periodic] freeze=5ms shot=118ms unfreeze=7ms saved=True
[06:03] Frame 3 saved (frame_002.jpg, t=4.6s)
[06:03] [capture-periodic] freeze=4ms shot=118ms unfreeze=13ms saved=True
[06:04] Node executed (1 total), capturing...
[06:04] Frame 4 saved (frame_003.jpg, t=5.8s)
[06:04] [capture-node] freeze=4ms shot=126ms unfreeze=6ms saved=True
[06:05] [capture-loop] iter=50 t=6.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=5.9/16.0GB (37%) swap=0.2/2.9GB (6%) cpu=36% browser_rss=0.69GB
[06:06] Frame 5 saved (frame_004.jpg, t=8.0s)
[06:06] [capture-periodic] freeze=4ms shot=135ms unfreeze=6ms saved=True
[06:09] Frame 6 saved (frame_005.jpg, t=10.3s)
[06:09] [capture-periodic] freeze=4ms shot=146ms unfreeze=5ms saved=True
[06:11] Frame 7 saved (frame_006.jpg, t=12.5s)
[06:11] [capture-periodic] freeze=5ms shot=149ms unfreeze=5ms saved=True
[06:11] [capture-loop] iter=100 t=12.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.2/2.9GB (6%) cpu=58% browser_rss=0.70GB
[06:13] Frame 8 saved (frame_007.jpg, t=14.7s)
[06:13] [capture-periodic] freeze=6ms shot=163ms unfreeze=7ms saved=True
[06:15] Frame 9 saved (frame_008.jpg, t=17.0s)
[06:15] [capture-periodic] freeze=4ms shot=118ms unfreeze=8ms saved=True
[06:17] [capture-loop] iter=150 t=19.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=7.4/16.0GB (46%) swap=0.2/2.9GB (6%) cpu=52% browser_rss=0.71GB
[06:19] Frame 10 saved (frame_009.jpg, t=19.4s)
[06:20] [capture-periodic] freeze=4ms shot=118ms unfreeze=4ms saved=True
[06:25] [capture-loop] iter=200 t=27.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=6.5/16.0GB (41%) swap=0.2/2.9GB (6%) cpu=20% browser_rss=0.63GB
[06:31] [capture-loop] iter=250 t=33.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.3/16.0GB (40%) swap=0.2/2.9GB (6%) cpu=22% browser_rss=0.63GB
[06:37] [capture-loop] iter=300 t=38.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.3/16.0GB (39%) swap=0.2/2.9GB (6%) cpu=31% browser_rss=0.63GB
[06:43] [capture-loop] iter=350 t=44.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=6.6/16.0GB (41%) swap=0.2/2.9GB (6%) cpu=70% browser_rss=0.62GB
[06:49] [capture-loop] iter=400 t=51.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.5/16.0GB (47%) swap=0.2/2.9GB (6%) cpu=68% browser_rss=0.62GB
[06:55] [capture-loop] iter=450 t=57.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.5/16.0GB (40%) swap=0.3/2.9GB (10%) cpu=76% browser_rss=0.60GB
[07:01] [capture-loop] iter=500 t=63.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=6.7/16.0GB (42%) swap=0.3/2.9GB (10%) cpu=62% browser_rss=0.59GB
[07:07] [capture-loop] iter=550 t=69.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=6.8/16.0GB (43%) swap=0.3/2.9GB (10%) cpu=86% browser_rss=0.59GB
[07:13] [capture-loop] iter=600 t=75.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.0/16.0GB (44%) swap=0.3/2.9GB (10%) cpu=85% browser_rss=0.58GB
[07:20] [capture-loop] iter=650 t=81.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.1/16.0GB (44%) swap=0.4/2.9GB (15%) cpu=87% browser_rss=0.57GB
[07:25] [capture-loop] iter=700 t=87.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.2/16.0GB (45%) swap=0.4/2.9GB (15%) cpu=85% browser_rss=0.57GB
[07:31] [capture-loop] iter=750 t=93.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.4/16.0GB (46%) swap=0.4/2.9GB (15%) cpu=69% browser_rss=0.56GB
[07:37] [capture-loop] iter=800 t=99.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.7/16.0GB (48%) swap=0.4/2.9GB (15%) cpu=53% browser_rss=0.56GB
[07:38] Node executed (2 total), capturing...
[07:38] Frame 11 saved (frame_010.jpg, t=99.8s)
[07:38] [capture-node] freeze=5ms shot=128ms unfreeze=17ms saved=True
[07:38] Node executed (3 total), capturing...
[07:38] Frame 12 saved (frame_011.jpg, t=100.2s)
[07:38] [capture-node] freeze=4ms shot=121ms unfreeze=0ms saved=True
[07:38] Execution complete (t=100.2s)
[07:38] Captured 12 unique frames over 100.37s
[07:38] [debug] iframes: 0
[07:38] [timing] trigger_3d_previews: 0.0s
[07:41] Saved high-quality screenshot: image_seg_point_executed.png
[07:41] [timing] final_screenshot: 0.3s
[07:41] Capturing execution frames: image_seg_text.json
[07:47] Frame 1 saved (frame_000.jpg, t=0.0s)
[07:47] Validating workflow...
[07:47] Queuing workflow for execution...
[07:49] Frame 2 saved (frame_001.jpg, t=2.2s)
[07:49] [capture-periodic] freeze=5ms shot=125ms unfreeze=5ms saved=True
[07:52] Frame 3 saved (frame_002.jpg, t=4.5s)
[07:52] [capture-periodic] freeze=6ms shot=139ms unfreeze=6ms saved=True
[07:53] [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (38%) swap=0.4/2.9GB (15%) cpu=35% browser_rss=0.61GB
[07:59] [capture-loop] iter=100 t=11.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.2/16.0GB (39%) swap=0.4/2.9GB (15%) cpu=62% browser_rss=0.60GB
[08:05] [capture-loop] iter=150 t=17.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.4/2.9GB (15%) cpu=64% browser_rss=0.60GB
[08:11] [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.5/16.0GB (41%) swap=0.4/2.9GB (15%) cpu=60% browser_rss=0.59GB
[08:17] [capture-loop] iter=250 t=29.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=6.5/16.0GB (40%) swap=0.6/2.9GB (20%) cpu=65% browser_rss=0.52GB
[08:22] [capture-loop] iter=300 t=35.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.7/16.0GB (42%) swap=0.6/2.9GB (20%) cpu=62% browser_rss=0.52GB
[08:28] [capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.6/2.9GB (20%) cpu=63% browser_rss=0.51GB
[08:34] [capture-loop] iter=400 t=47.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.1/16.0GB (44%) swap=0.6/2.9GB (20%) cpu=61% browser_rss=0.51GB
[08:40] [capture-loop] iter=450 t=53.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.7/2.9GB (24%) cpu=63% browser_rss=0.50GB
[08:46] [capture-loop] iter=500 t=59.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (52%) swap=0.7/2.9GB (24%) cpu=45% browser_rss=0.50GB
[08:52] [capture-loop] iter=550 t=64.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=9.1/16.0GB (57%) swap=0.7/2.9GB (24%) cpu=74% browser_rss=0.50GB
[08:56] Node executed (1 total), capturing...
[08:56] Frame 4 saved (frame_003.jpg, t=68.8s)
[08:56] [capture-node] freeze=6ms shot=110ms unfreeze=5ms saved=True
[08:56] Node executed (2 total), capturing...
[08:56] Frame 5 saved (frame_004.jpg, t=69.2s)
[08:56] [capture-node] freeze=4ms shot=109ms unfreeze=0ms saved=True
[08:56] Execution complete (t=69.2s)
[08:56] Captured 5 unique frames over 69.3s
[08:56] [debug] iframes: 0
[08:56] [timing] trigger_3d_previews: 0.0s
[08:59] Saved high-quality screenshot: image_seg_text_executed.png
[08:59] [timing] final_screenshot: 0.2s
[08:59] Capturing execution frames: scene_seg.json
[09:05] Frame 1 saved (frame_000.jpg, t=0.0s)
[09:05] Validating workflow...
[09:05] Queuing workflow for execution...
[09:07] Frame 2 saved (frame_001.jpg, t=2.3s)
[09:07] [capture-periodic] freeze=5ms shot=100ms unfreeze=4ms saved=True
[09:09] Frame 3 saved (frame_002.jpg, t=4.5s)
[09:09] [capture-periodic] freeze=4ms shot=105ms unfreeze=4ms saved=True
[09:10] [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=35% browser_rss=0.95GB
[09:16] [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=16% browser_rss=0.94GB
[09:22] [capture-loop] iter=150 t=17.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.6/2.9GB (22%) cpu=15% browser_rss=0.93GB
[09:25] Node executed (1 total), capturing...
[09:25] Frame 4 saved (frame_003.jpg, t=20.6s)
[09:25] [capture-node] freeze=60ms shot=198ms unfreeze=7ms saved=True
[09:28] [capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.8/2.9GB (28%) cpu=38% browser_rss=1.50GB
[09:35] [capture-loop] iter=250 t=30.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.43GB
[09:40] [capture-loop] iter=300 t=36.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.8/2.9GB (28%) cpu=68% browser_rss=1.42GB
[09:47] [capture-loop] iter=350 t=42.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.42GB
[09:53] [capture-loop] iter=400 t=48.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.1/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=62% browser_rss=1.35GB
[09:59] [capture-loop] iter=450 t=54.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=0.8/2.9GB (27%) cpu=69% browser_rss=1.35GB
[10:05] [capture-loop] iter=500 t=60.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.8/2.9GB (27%) cpu=64% browser_rss=1.35GB
[10:11] [capture-loop] iter=550 t=66.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.5/16.0GB (47%) swap=0.9/2.9GB (32%) cpu=68% browser_rss=1.35GB
[10:17] [capture-loop] iter=600 t=72.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.7/16.0GB (48%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.35GB
[10:23] [capture-loop] iter=650 t=78.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.4/16.0GB (59%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.34GB
[10:29] [capture-loop] iter=700 t=84.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (51%) swap=0.9/2.9GB (32%) cpu=67% browser_rss=1.34GB
[10:31] Frame 5 saved (frame_004.jpg, t=86.7s)
[10:31] [capture-periodic] freeze=6ms shot=178ms unfreeze=11ms saved=True
[10:34] Frame 6 saved (frame_005.jpg, t=88.9s)
[10:34] [capture-periodic] freeze=5ms shot=180ms unfreeze=16ms saved=True
[10:35] [capture-loop] iter=750 t=90.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=10.9/16.0GB (68%) swap=0.9/2.9GB (32%) cpu=82% browser_rss=1.35GB
[10:41] [capture-loop] iter=800 t=96.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.9/16.0GB (62%) swap=0.9/2.9GB (32%) cpu=76% browser_rss=1.35GB
[10:43] Frame 7 saved (frame_006.jpg, t=98.1s)
[10:43] [capture-periodic] freeze=5ms shot=150ms unfreeze=13ms saved=True
[10:44] Node executed (2 total), capturing...
[10:45] Frame 8 saved (frame_007.jpg, t=99.8s)
[10:45] [capture-node] freeze=6ms shot=696ms unfreeze=8ms saved=True
[10:48] [capture-loop] iter=850 t=103.8s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=5 ram=9.6/16.0GB (60%) swap=0.9/2.9GB (32%) cpu=47% browser_rss=1.80GB
[10:50] Node executed (3 total), capturing...
[10:51] Frame 9 saved (frame_008.jpg, t=105.4s)
[10:51] [capture-node] freeze=629ms shot=223ms unfreeze=16ms saved=True
[10:51] Node executed (4 total), capturing...
[10:51] Frame 10 saved (frame_009.jpg, t=106.6s)
[10:51] [capture-node] freeze=28ms shot=220ms unfreeze=39ms saved=True
[10:52] Execution complete (t=107.1s)
[10:52] Captured 10 unique frames over 107.24s
[10:52] [debug] iframes: 0
[10:52] [timing] trigger_3d_previews: 0.0s
[10:54] Saved high-quality screenshot: scene_seg_executed.png
[10:54] [timing] final_screenshot: 0.3s
[10:54] Capturing execution frames: scene_seg_interactive.json
[11:01] Frame 1 saved (frame_000.jpg, t=0.0s)
[11:01] Validating workflow...
[11:01] Queuing workflow for execution...
[11:03] Frame 2 saved (frame_001.jpg, t=2.2s)
[11:03] [capture-periodic] freeze=5ms shot=106ms unfreeze=6ms saved=True
[11:05] Frame 3 saved (frame_002.jpg, t=4.5s)
[11:05] [capture-periodic] freeze=5ms shot=134ms unfreeze=6ms saved=True
[11:07] [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.8/16.0GB (49%) swap=0.9/4.4GB (20%) cpu=46% browser_rss=1.38GB
[11:13] [capture-loop] iter=100 t=12.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.0/16.0GB (50%) swap=0.9/4.4GB (20%) cpu=64% browser_rss=1.09GB
[11:19] [capture-loop] iter=150 t=17.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.9/16.0GB (50%) swap=0.9/2.9GB (31%) cpu=66% browser_rss=1.09GB
[11:25] [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.1/16.0GB (50%) swap=0.9/2.9GB (31%) cpu=58% browser_rss=1.09GB
[11:31] [capture-loop] iter=250 t=29.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=9.4/16.0GB (58%) swap=1.0/2.9GB (35%) cpu=59% browser_rss=1.09GB
[11:36] [capture-loop] iter=300 t=35.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=58% browser_rss=1.09GB
[11:42] [capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=56% browser_rss=1.09GB
[11:48] [capture-loop] iter=400 t=47.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=1.0/2.9GB (35%) cpu=61% browser_rss=1.09GB
[11:54] [capture-loop] iter=450 t=53.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.7/16.0GB (54%) swap=1.0/2.9GB (35%) cpu=56% browser_rss=1.03GB
[12:00] [capture-loop] iter=500 t=59.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=1.0/2.9GB (35%) cpu=66% browser_rss=1.03GB
[12:06] [capture-loop] iter=550 t=65.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=1.0/2.9GB (35%) cpu=73% browser_rss=1.02GB
[12:10] Frame 4 saved (frame_003.jpg, t=69.1s)
[12:10] [capture-periodic] freeze=5ms shot=153ms unfreeze=5ms saved=True
[12:12] [capture-loop] iter=600 t=71.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=10.4/16.0GB (65%) swap=1.0/2.9GB (35%) cpu=74% browser_rss=1.03GB
[12:14] Node executed (1 total), capturing...
[12:15] Frame 5 saved (frame_004.jpg, t=73.7s)
[12:15] [capture-node] freeze=72ms shot=511ms unfreeze=9ms saved=True
[12:15] Node executed (2 total), capturing...
[12:16] Frame 6 saved (frame_005.jpg, t=74.5s)
[12:16] [capture-node] freeze=6ms shot=168ms unfreeze=0ms saved=True
[12:16] Execution complete (t=74.5s)
[12:16] Captured 6 unique frames over 74.74s
[12:16] [debug] iframes: 0
[12:16] [timing] trigger_3d_previews: 0.0s
[12:18] Saved high-quality screenshot: scene_seg_interactive_executed.png
[12:18] [timing] final_screenshot: 0.3s
[12:18] [5/5] SKIPPED (not in cpu list) video_point_prompt.json
[12:19] Results saved to D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1230\dev\windows-portable-cpu\results.json
[12:19] Model report: 9 files, 3.2 GB -> D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1230\dev\windows-portable-cpu\models.json
[12:19] Saved: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-1230\dev\windows-portable-cpu\index.html
[12:19] [EXECUTION] PASSED
[12:19]
windows_portable: PASSED
[13:56] Stopping ComfyUI server...
[12:19] Stopping ComfyUI server...
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},
{
"file": "frame_001.jpg",
"time": 2.36,
"time": 2.2,
"log": "Capturing execution frames: image_seg_text.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution..."
},
{
"file": "frame_002.jpg",
"time": 4.57,
"log": "Capturing execution frames: image_seg_text.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=5ms shot=116ms unfreeze=4ms saved=True"
"time": 4.46,
"log": "Capturing execution frames: image_seg_text.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=5ms shot=125ms unfreeze=5ms saved=True"
},
{
"file": "frame_003.jpg",
"time": 17.47,
"log": "Capturing execution frames: image_seg_text.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=5ms shot=116ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=3ms shot=100ms unfreeze=3ms saved=True\n [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=4.5/16.0GB (28%) swap=0.9/2.9GB (31%) cpu=42% browser_rss=0.60GB\n [capture-loop] iter=100 t=11.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=4.9/16.0GB (31%) swap=0.9/2.9GB (31%) cpu=20% browser_rss=0.59GB\n [capture-loop] iter=150 t=17.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.1/16.0GB (32%) swap=0.9/2.9GB (31%) cpu=23% browser_rss=0.59GB"
"time": 68.75,
"log": "Capturing execution frames: image_seg_text.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=5ms shot=125ms unfreeze=5ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=6ms shot=139ms unfreeze=6ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (38%) swap=0.4/2.9GB (15%) cpu=35% browser_rss=0.61GB\n [capture-loop] iter=100 t=11.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.2/16.0GB (39%) swap=0.4/2.9GB (15%) cpu=62% browser_rss=0.60GB\n [capture-loop] iter=150 t=17.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.4/2.9GB (15%) cpu=64% browser_rss=0.60GB\n [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.5/16.0GB (41%) swap=0.4/2.9GB (15%) cpu=60% browser_rss=0.59GB\n [capture-loop] iter=250 t=29.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=6.5/16.0GB (40%) swap=0.6/2.9GB (20%) cpu=65% browser_rss=0.52GB\n [capture-loop] iter=300 t=35.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.7/16.0GB (42%) swap=0.6/2.9GB (20%) cpu=62% browser_rss=0.52GB\n [capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.6/2.9GB (20%) cpu=63% browser_rss=0.51GB\n [capture-loop] iter=400 t=47.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.1/16.0GB (44%) swap=0.6/2.9GB (20%) cpu=61% browser_rss=0.51GB\n [capture-loop] iter=450 t=53.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.7/2.9GB (24%) cpu=63% browser_rss=0.50GB\n [capture-loop] iter=500 t=59.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (52%) swap=0.7/2.9GB (24%) cpu=45% browser_rss=0.50GB\n [capture-loop] iter=550 t=64.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=9.1/16.0GB (57%) swap=0.7/2.9GB (24%) cpu=74% browser_rss=0.50GB"
},
{
"file": "frame_004.jpg",
"time": 19.65,
"log": "Capturing execution frames: image_seg_text.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=5ms shot=116ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=3ms shot=100ms unfreeze=3ms saved=True\n [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=4.5/16.0GB (28%) swap=0.9/2.9GB (31%) cpu=42% browser_rss=0.60GB\n [capture-loop] iter=100 t=11.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=4.9/16.0GB (31%) swap=0.9/2.9GB (31%) cpu=20% browser_rss=0.59GB\n [capture-loop] iter=150 t=17.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.1/16.0GB (32%) swap=0.9/2.9GB (31%) cpu=23% browser_rss=0.59GB\n Frame 4 saved (frame_003.jpg, t=17.5s)\n [capture-periodic] freeze=3ms shot=103ms unfreeze=6ms saved=True"
"time": 69.16,
"log": "Capturing execution frames: image_seg_text.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=5ms shot=125ms unfreeze=5ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=6ms shot=139ms unfreeze=6ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (38%) swap=0.4/2.9GB (15%) cpu=35% browser_rss=0.61GB\n [capture-loop] iter=100 t=11.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.2/16.0GB (39%) swap=0.4/2.9GB (15%) cpu=62% browser_rss=0.60GB\n [capture-loop] iter=150 t=17.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.4/2.9GB (15%) cpu=64% browser_rss=0.60GB\n [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.5/16.0GB (41%) swap=0.4/2.9GB (15%) cpu=60% browser_rss=0.59GB\n [capture-loop] iter=250 t=29.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=6.5/16.0GB (40%) swap=0.6/2.9GB (20%) cpu=65% browser_rss=0.52GB\n [capture-loop] iter=300 t=35.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.7/16.0GB (42%) swap=0.6/2.9GB (20%) cpu=62% browser_rss=0.52GB\n [capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.6/2.9GB (20%) cpu=63% browser_rss=0.51GB\n [capture-loop] iter=400 t=47.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.1/16.0GB (44%) swap=0.6/2.9GB (20%) cpu=61% browser_rss=0.51GB\n [capture-loop] iter=450 t=53.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.7/2.9GB (24%) cpu=63% browser_rss=0.50GB\n [capture-loop] iter=500 t=59.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (52%) swap=0.7/2.9GB (24%) cpu=45% browser_rss=0.50GB\n [capture-loop] iter=550 t=64.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=9.1/16.0GB (57%) swap=0.7/2.9GB (24%) cpu=74% browser_rss=0.50GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=68.8s)\n [capture-node] freeze=6ms shot=110ms unfreeze=5ms saved=True"
},
{
"file": "frame_005.jpg",
"time": 120.1,
"log": "Capturing execution frames: image_seg_text.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=5ms shot=116ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=3ms shot=100ms unfreeze=3ms saved=True\n [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=4.5/16.0GB (28%) swap=0.9/2.9GB (31%) cpu=42% browser_rss=0.60GB\n [capture-loop] iter=100 t=11.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=4.9/16.0GB (31%) swap=0.9/2.9GB (31%) cpu=20% browser_rss=0.59GB\n [capture-loop] iter=150 t=17.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.1/16.0GB (32%) swap=0.9/2.9GB (31%) cpu=23% browser_rss=0.59GB\n Frame 4 saved (frame_003.jpg, t=17.5s)\n [capture-periodic] freeze=3ms shot=103ms unfreeze=6ms saved=True\n Frame 5 saved (frame_004.jpg, t=19.6s)\n [capture-periodic] freeze=3ms shot=131ms unfreeze=5ms saved=True\n [capture-loop] iter=200 t=23.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=0.9/2.9GB (31%) cpu=48% browser_rss=0.59GB\n [capture-loop] iter=250 t=28.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.5/16.0GB (35%) swap=0.9/2.9GB (31%) cpu=59% browser_rss=0.51GB\n [capture-loop] iter=300 t=34.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.9/2.9GB (31%) cpu=59% browser_rss=0.51GB\n [capture-loop] iter=350 t=40.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=115 ram=6.0/16.0GB (37%) swap=0.9/2.9GB (31%) cpu=69% browser_rss=0.51GB\n [capture-loop] iter=400 t=55.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.9/16.0GB (37%) swap=1.1/2.9GB (39%) cpu=98% browser_rss=0.50GB\n [capture-loop] iter=450 t=61.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (38%) swap=1.1/2.9GB (39%) cpu=80% browser_rss=0.50GB\n [capture-loop] iter=500 t=67.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (39%) swap=1.1/2.9GB (39%) cpu=78% browser_rss=0.50GB\n [capture-loop] iter=550 t=73.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=21 ram=6.4/16.0GB (40%) swap=1.1/2.9GB (39%) cpu=85% browser_rss=0.50GB\n [capture-loop] iter=600 t=79.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.4/16.0GB (40%) swap=1.1/2.9GB (39%) cpu=86% browser_rss=0.50GB\n [capture-loop] iter=650 t=85.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.5/16.0GB (41%) swap=1.1/2.9GB (39%) cpu=77% browser_rss=0.49GB\n [capture-loop] iter=700 t=91.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.7/16.0GB (42%) swap=1.1/2.9GB (39%) cpu=76% browser_rss=0.48GB\n [capture-loop] iter=750 t=97.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.8/16.0GB (43%) swap=1.1/2.9GB (39%) cpu=81% browser_rss=0.48GB\n [capture-loop] iter=800 t=102.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.1/2.9GB (39%) cpu=73% browser_rss=0.48GB\n [capture-loop] iter=850 t=108.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.4/16.0GB (52%) swap=1.1/2.9GB (39%) cpu=76% browser_rss=0.48GB\n [capture-loop] iter=900 t=114.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.3/16.0GB (52%) swap=1.2/2.9GB (42%) cpu=88% browser_rss=0.48GB"
},
{
"file": "frame_006.jpg",
"time": 120.52,
"log": "Capturing execution frames: image_seg_text.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=5ms shot=116ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=3ms shot=100ms unfreeze=3ms saved=True\n [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=4.5/16.0GB (28%) swap=0.9/2.9GB (31%) cpu=42% browser_rss=0.60GB\n [capture-loop] iter=100 t=11.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=4.9/16.0GB (31%) swap=0.9/2.9GB (31%) cpu=20% browser_rss=0.59GB\n [capture-loop] iter=150 t=17.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.1/16.0GB (32%) swap=0.9/2.9GB (31%) cpu=23% browser_rss=0.59GB\n Frame 4 saved (frame_003.jpg, t=17.5s)\n [capture-periodic] freeze=3ms shot=103ms unfreeze=6ms saved=True\n Frame 5 saved (frame_004.jpg, t=19.6s)\n [capture-periodic] freeze=3ms shot=131ms unfreeze=5ms saved=True\n [capture-loop] iter=200 t=23.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=0.9/2.9GB (31%) cpu=48% browser_rss=0.59GB\n [capture-loop] iter=250 t=28.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.5/16.0GB (35%) swap=0.9/2.9GB (31%) cpu=59% browser_rss=0.51GB\n [capture-loop] iter=300 t=34.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.9/2.9GB (31%) cpu=59% browser_rss=0.51GB\n [capture-loop] iter=350 t=40.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=115 ram=6.0/16.0GB (37%) swap=0.9/2.9GB (31%) cpu=69% browser_rss=0.51GB\n [capture-loop] iter=400 t=55.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.9/16.0GB (37%) swap=1.1/2.9GB (39%) cpu=98% browser_rss=0.50GB\n [capture-loop] iter=450 t=61.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (38%) swap=1.1/2.9GB (39%) cpu=80% browser_rss=0.50GB\n [capture-loop] iter=500 t=67.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (39%) swap=1.1/2.9GB (39%) cpu=78% browser_rss=0.50GB\n [capture-loop] iter=550 t=73.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=21 ram=6.4/16.0GB (40%) swap=1.1/2.9GB (39%) cpu=85% browser_rss=0.50GB\n [capture-loop] iter=600 t=79.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.4/16.0GB (40%) swap=1.1/2.9GB (39%) cpu=86% browser_rss=0.50GB\n [capture-loop] iter=650 t=85.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.5/16.0GB (41%) swap=1.1/2.9GB (39%) cpu=77% browser_rss=0.49GB\n [capture-loop] iter=700 t=91.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.7/16.0GB (42%) swap=1.1/2.9GB (39%) cpu=76% browser_rss=0.48GB\n [capture-loop] iter=750 t=97.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.8/16.0GB (43%) swap=1.1/2.9GB (39%) cpu=81% browser_rss=0.48GB\n [capture-loop] iter=800 t=102.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.1/2.9GB (39%) cpu=73% browser_rss=0.48GB\n [capture-loop] iter=850 t=108.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.4/16.0GB (52%) swap=1.1/2.9GB (39%) cpu=76% browser_rss=0.48GB\n [capture-loop] iter=900 t=114.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.3/16.0GB (52%) swap=1.2/2.9GB (42%) cpu=88% browser_rss=0.48GB\n Node executed (1 total), capturing...\n Frame 6 saved (frame_005.jpg, t=120.1s)\n [capture-node] freeze=6ms shot=115ms unfreeze=4ms saved=True"
},
{
"file": "frame_007.jpg",
"time": 122.9094934463501,
"time": 71.54776263237,
"log": "Final screenshot"
}
],
"total_time": 120.68
"total_time": 69.3
}
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@@ -7,59 +7,54 @@
},
{
"file": "frame_001.jpg",
"time": 2.24,
"time": 2.28,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution..."
},
{
"file": "frame_002.jpg",
"time": 4.45,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=4ms shot=111ms unfreeze=8ms saved=True"
"time": 4.47,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=5ms shot=100ms unfreeze=4ms saved=True"
},
{
"file": "frame_003.jpg",
"time": 8.51,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=4ms shot=111ms unfreeze=8ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=3ms shot=119ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=1.2/2.9GB (41%) cpu=61% browser_rss=0.92GB"
"time": 20.58,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=5ms shot=100ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=4ms shot=105ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=35% browser_rss=0.95GB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=16% browser_rss=0.94GB\n [capture-loop] iter=150 t=17.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.6/2.9GB (22%) cpu=15% browser_rss=0.93GB"
},
{
"file": "frame_004.jpg",
"time": 88.25,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=4ms shot=111ms unfreeze=8ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=3ms shot=119ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=1.2/2.9GB (41%) cpu=61% browser_rss=0.92GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=8.5s)\n [capture-node] freeze=7ms shot=282ms unfreeze=4ms saved=True\n [capture-loop] iter=100 t=12.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.4/16.0GB (40%) swap=1.2/2.9GB (41%) cpu=73% browser_rss=1.39GB\n [capture-loop] iter=150 t=18.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.7/16.0GB (42%) swap=1.2/2.9GB (41%) cpu=85% browser_rss=1.38GB\n [capture-loop] iter=200 t=24.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=86% browser_rss=1.32GB\n [capture-loop] iter=250 t=30.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.32GB\n [capture-loop] iter=300 t=37.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.2/16.0GB (45%) swap=1.2/2.9GB (41%) cpu=87% browser_rss=1.43GB\n [capture-loop] iter=350 t=43.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.0/16.0GB (50%) swap=1.2/2.9GB (41%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=400 t=49.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=450 t=55.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=500 t=61.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=9.6/16.0GB (60%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=550 t=67.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (48%) swap=1.3/2.9GB (44%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=600 t=73.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.8/16.0GB (49%) swap=1.3/2.9GB (44%) cpu=77% browser_rss=1.37GB\n [capture-loop] iter=650 t=79.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=10.4/16.0GB (65%) swap=1.3/2.9GB (44%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=700 t=85.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (52%) swap=1.3/2.9GB (44%) cpu=83% browser_rss=1.37GB"
"time": 86.67,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=5ms shot=100ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=4ms shot=105ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=35% browser_rss=0.95GB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=16% browser_rss=0.94GB\n [capture-loop] iter=150 t=17.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.6/2.9GB (22%) cpu=15% browser_rss=0.93GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=20.6s)\n [capture-node] freeze=60ms shot=198ms unfreeze=7ms saved=True\n [capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.8/2.9GB (28%) cpu=38% browser_rss=1.50GB\n [capture-loop] iter=250 t=30.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.43GB\n [capture-loop] iter=300 t=36.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.8/2.9GB (28%) cpu=68% browser_rss=1.42GB\n [capture-loop] iter=350 t=42.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.42GB\n [capture-loop] iter=400 t=48.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.1/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=62% browser_rss=1.35GB\n [capture-loop] iter=450 t=54.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=0.8/2.9GB (27%) cpu=69% browser_rss=1.35GB\n [capture-loop] iter=500 t=60.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.8/2.9GB (27%) cpu=64% browser_rss=1.35GB\n [capture-loop] iter=550 t=66.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.5/16.0GB (47%) swap=0.9/2.9GB (32%) cpu=68% browser_rss=1.35GB\n [capture-loop] iter=600 t=72.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.7/16.0GB (48%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.35GB\n [capture-loop] iter=650 t=78.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.4/16.0GB (59%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.34GB\n [capture-loop] iter=700 t=84.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (51%) swap=0.9/2.9GB (32%) cpu=67% browser_rss=1.34GB"
},
{
"file": "frame_005.jpg",
"time": 90.51,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=4ms shot=111ms unfreeze=8ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=3ms shot=119ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=1.2/2.9GB (41%) cpu=61% browser_rss=0.92GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=8.5s)\n [capture-node] freeze=7ms shot=282ms unfreeze=4ms saved=True\n [capture-loop] iter=100 t=12.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.4/16.0GB (40%) swap=1.2/2.9GB (41%) cpu=73% browser_rss=1.39GB\n [capture-loop] iter=150 t=18.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.7/16.0GB (42%) swap=1.2/2.9GB (41%) cpu=85% browser_rss=1.38GB\n [capture-loop] iter=200 t=24.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=86% browser_rss=1.32GB\n [capture-loop] iter=250 t=30.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.32GB\n [capture-loop] iter=300 t=37.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.2/16.0GB (45%) swap=1.2/2.9GB (41%) cpu=87% browser_rss=1.43GB\n [capture-loop] iter=350 t=43.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.0/16.0GB (50%) swap=1.2/2.9GB (41%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=400 t=49.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=450 t=55.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=500 t=61.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=9.6/16.0GB (60%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=550 t=67.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (48%) swap=1.3/2.9GB (44%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=600 t=73.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.8/16.0GB (49%) swap=1.3/2.9GB (44%) cpu=77% browser_rss=1.37GB\n [capture-loop] iter=650 t=79.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=10.4/16.0GB (65%) swap=1.3/2.9GB (44%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=700 t=85.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (52%) swap=1.3/2.9GB (44%) cpu=83% browser_rss=1.37GB\n Frame 5 saved (frame_004.jpg, t=88.2s)\n [capture-periodic] freeze=11ms shot=192ms unfreeze=15ms saved=True"
"time": 88.91,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=5ms shot=100ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=4ms shot=105ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=35% browser_rss=0.95GB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=16% browser_rss=0.94GB\n [capture-loop] iter=150 t=17.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.6/2.9GB (22%) cpu=15% browser_rss=0.93GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=20.6s)\n [capture-node] freeze=60ms shot=198ms unfreeze=7ms saved=True\n [capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.8/2.9GB (28%) cpu=38% browser_rss=1.50GB\n [capture-loop] iter=250 t=30.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.43GB\n [capture-loop] iter=300 t=36.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.8/2.9GB (28%) cpu=68% browser_rss=1.42GB\n [capture-loop] iter=350 t=42.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.42GB\n [capture-loop] iter=400 t=48.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.1/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=62% browser_rss=1.35GB\n [capture-loop] iter=450 t=54.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=0.8/2.9GB (27%) cpu=69% browser_rss=1.35GB\n [capture-loop] iter=500 t=60.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.8/2.9GB (27%) cpu=64% browser_rss=1.35GB\n [capture-loop] iter=550 t=66.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.5/16.0GB (47%) swap=0.9/2.9GB (32%) cpu=68% browser_rss=1.35GB\n [capture-loop] iter=600 t=72.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.7/16.0GB (48%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.35GB\n [capture-loop] iter=650 t=78.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.4/16.0GB (59%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.34GB\n [capture-loop] iter=700 t=84.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (51%) swap=0.9/2.9GB (32%) cpu=67% browser_rss=1.34GB\n Frame 5 saved (frame_004.jpg, t=86.7s)\n [capture-periodic] freeze=6ms shot=178ms unfreeze=11ms saved=True"
},
{
"file": "frame_006.jpg",
"time": 92.83,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=4ms shot=111ms unfreeze=8ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=3ms shot=119ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=1.2/2.9GB (41%) cpu=61% browser_rss=0.92GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=8.5s)\n [capture-node] freeze=7ms shot=282ms unfreeze=4ms saved=True\n [capture-loop] iter=100 t=12.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.4/16.0GB (40%) swap=1.2/2.9GB (41%) cpu=73% browser_rss=1.39GB\n [capture-loop] iter=150 t=18.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.7/16.0GB (42%) swap=1.2/2.9GB (41%) cpu=85% browser_rss=1.38GB\n [capture-loop] iter=200 t=24.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=86% browser_rss=1.32GB\n [capture-loop] iter=250 t=30.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.32GB\n [capture-loop] iter=300 t=37.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.2/16.0GB (45%) swap=1.2/2.9GB (41%) cpu=87% browser_rss=1.43GB\n [capture-loop] iter=350 t=43.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.0/16.0GB (50%) swap=1.2/2.9GB (41%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=400 t=49.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=450 t=55.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=500 t=61.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=9.6/16.0GB (60%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=550 t=67.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (48%) swap=1.3/2.9GB (44%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=600 t=73.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.8/16.0GB (49%) swap=1.3/2.9GB (44%) cpu=77% browser_rss=1.37GB\n [capture-loop] iter=650 t=79.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=10.4/16.0GB (65%) swap=1.3/2.9GB (44%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=700 t=85.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (52%) swap=1.3/2.9GB (44%) cpu=83% browser_rss=1.37GB\n Frame 5 saved (frame_004.jpg, t=88.2s)\n [capture-periodic] freeze=11ms shot=192ms unfreeze=15ms saved=True\n Frame 6 saved (frame_005.jpg, t=90.5s)\n [capture-periodic] freeze=4ms shot=225ms unfreeze=15ms saved=True\n [capture-loop] iter=750 t=91.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=9.8/16.0GB (61%) swap=1.3/2.9GB (44%) cpu=93% browser_rss=1.38GB"
"time": 98.07,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=5ms shot=100ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=4ms shot=105ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=35% browser_rss=0.95GB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=16% browser_rss=0.94GB\n [capture-loop] iter=150 t=17.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.6/2.9GB (22%) cpu=15% browser_rss=0.93GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=20.6s)\n [capture-node] freeze=60ms shot=198ms unfreeze=7ms saved=True\n [capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.8/2.9GB (28%) cpu=38% browser_rss=1.50GB\n [capture-loop] iter=250 t=30.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.43GB\n [capture-loop] iter=300 t=36.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.8/2.9GB (28%) cpu=68% browser_rss=1.42GB\n [capture-loop] iter=350 t=42.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.42GB\n [capture-loop] iter=400 t=48.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.1/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=62% browser_rss=1.35GB\n [capture-loop] iter=450 t=54.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=0.8/2.9GB (27%) cpu=69% browser_rss=1.35GB\n [capture-loop] iter=500 t=60.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.8/2.9GB (27%) cpu=64% browser_rss=1.35GB\n [capture-loop] iter=550 t=66.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.5/16.0GB (47%) swap=0.9/2.9GB (32%) cpu=68% browser_rss=1.35GB\n [capture-loop] iter=600 t=72.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.7/16.0GB (48%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.35GB\n [capture-loop] iter=650 t=78.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.4/16.0GB (59%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.34GB\n [capture-loop] iter=700 t=84.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (51%) swap=0.9/2.9GB (32%) cpu=67% browser_rss=1.34GB\n Frame 5 saved (frame_004.jpg, t=86.7s)\n [capture-periodic] freeze=6ms shot=178ms unfreeze=11ms saved=True\n Frame 6 saved (frame_005.jpg, t=88.9s)\n [capture-periodic] freeze=5ms shot=180ms unfreeze=16ms saved=True\n [capture-loop] iter=750 t=90.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=10.9/16.0GB (68%) swap=0.9/2.9GB (32%) cpu=82% browser_rss=1.35GB\n [capture-loop] iter=800 t=96.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.9/16.0GB (62%) swap=0.9/2.9GB (32%) cpu=76% browser_rss=1.35GB"
},
{
"file": "frame_007.jpg",
"time": 106.62,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=4ms shot=111ms unfreeze=8ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=3ms shot=119ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=1.2/2.9GB (41%) cpu=61% browser_rss=0.92GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=8.5s)\n [capture-node] freeze=7ms shot=282ms unfreeze=4ms saved=True\n [capture-loop] iter=100 t=12.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.4/16.0GB (40%) swap=1.2/2.9GB (41%) cpu=73% browser_rss=1.39GB\n [capture-loop] iter=150 t=18.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.7/16.0GB (42%) swap=1.2/2.9GB (41%) cpu=85% browser_rss=1.38GB\n [capture-loop] iter=200 t=24.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=86% browser_rss=1.32GB\n [capture-loop] iter=250 t=30.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.32GB\n [capture-loop] iter=300 t=37.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.2/16.0GB (45%) swap=1.2/2.9GB (41%) cpu=87% browser_rss=1.43GB\n [capture-loop] iter=350 t=43.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.0/16.0GB (50%) swap=1.2/2.9GB (41%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=400 t=49.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=450 t=55.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=500 t=61.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=9.6/16.0GB (60%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=550 t=67.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (48%) swap=1.3/2.9GB (44%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=600 t=73.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.8/16.0GB (49%) swap=1.3/2.9GB (44%) cpu=77% browser_rss=1.37GB\n [capture-loop] iter=650 t=79.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=10.4/16.0GB (65%) swap=1.3/2.9GB (44%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=700 t=85.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (52%) swap=1.3/2.9GB (44%) cpu=83% browser_rss=1.37GB\n Frame 5 saved (frame_004.jpg, t=88.2s)\n [capture-periodic] freeze=11ms shot=192ms unfreeze=15ms saved=True\n Frame 6 saved (frame_005.jpg, t=90.5s)\n [capture-periodic] freeze=4ms shot=225ms unfreeze=15ms saved=True\n [capture-loop] iter=750 t=91.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=9.8/16.0GB (61%) swap=1.3/2.9GB (44%) cpu=93% browser_rss=1.38GB\n Frame 7 saved (frame_006.jpg, t=92.8s)\n [capture-periodic] freeze=4ms shot=196ms unfreeze=6ms saved=True\n [capture-loop] iter=800 t=98.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=21 ram=10.9/16.0GB (68%) swap=1.3/2.9GB (44%) cpu=96% browser_rss=1.38GB\n [capture-loop] iter=850 t=104.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.6/16.0GB (60%) swap=1.3/2.9GB (44%) cpu=95% browser_rss=1.37GB"
"time": 99.78,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=5ms shot=100ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=4ms shot=105ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=35% browser_rss=0.95GB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=16% browser_rss=0.94GB\n [capture-loop] iter=150 t=17.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.6/2.9GB (22%) cpu=15% browser_rss=0.93GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=20.6s)\n [capture-node] freeze=60ms shot=198ms unfreeze=7ms saved=True\n [capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.8/2.9GB (28%) cpu=38% browser_rss=1.50GB\n [capture-loop] iter=250 t=30.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.43GB\n [capture-loop] iter=300 t=36.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.8/2.9GB (28%) cpu=68% browser_rss=1.42GB\n [capture-loop] iter=350 t=42.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.42GB\n [capture-loop] iter=400 t=48.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.1/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=62% browser_rss=1.35GB\n [capture-loop] iter=450 t=54.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=0.8/2.9GB (27%) cpu=69% browser_rss=1.35GB\n [capture-loop] iter=500 t=60.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.8/2.9GB (27%) cpu=64% browser_rss=1.35GB\n [capture-loop] iter=550 t=66.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.5/16.0GB (47%) swap=0.9/2.9GB (32%) cpu=68% browser_rss=1.35GB\n [capture-loop] iter=600 t=72.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.7/16.0GB (48%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.35GB\n [capture-loop] iter=650 t=78.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.4/16.0GB (59%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.34GB\n [capture-loop] iter=700 t=84.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (51%) swap=0.9/2.9GB (32%) cpu=67% browser_rss=1.34GB\n Frame 5 saved (frame_004.jpg, t=86.7s)\n [capture-periodic] freeze=6ms shot=178ms unfreeze=11ms saved=True\n Frame 6 saved (frame_005.jpg, t=88.9s)\n [capture-periodic] freeze=5ms shot=180ms unfreeze=16ms saved=True\n [capture-loop] iter=750 t=90.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=10.9/16.0GB (68%) swap=0.9/2.9GB (32%) cpu=82% browser_rss=1.35GB\n [capture-loop] iter=800 t=96.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.9/16.0GB (62%) swap=0.9/2.9GB (32%) cpu=76% browser_rss=1.35GB\n Frame 7 saved (frame_006.jpg, t=98.1s)\n [capture-periodic] freeze=5ms shot=150ms unfreeze=13ms saved=True"
},
{
"file": "frame_008.jpg",
"time": 112.22,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=4ms shot=111ms unfreeze=8ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=3ms shot=119ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=1.2/2.9GB (41%) cpu=61% browser_rss=0.92GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=8.5s)\n [capture-node] freeze=7ms shot=282ms unfreeze=4ms saved=True\n [capture-loop] iter=100 t=12.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.4/16.0GB (40%) swap=1.2/2.9GB (41%) cpu=73% browser_rss=1.39GB\n [capture-loop] iter=150 t=18.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.7/16.0GB (42%) swap=1.2/2.9GB (41%) cpu=85% browser_rss=1.38GB\n [capture-loop] iter=200 t=24.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=86% browser_rss=1.32GB\n [capture-loop] iter=250 t=30.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.32GB\n [capture-loop] iter=300 t=37.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.2/16.0GB (45%) swap=1.2/2.9GB (41%) cpu=87% browser_rss=1.43GB\n [capture-loop] iter=350 t=43.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.0/16.0GB (50%) swap=1.2/2.9GB (41%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=400 t=49.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=450 t=55.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=500 t=61.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=9.6/16.0GB (60%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=550 t=67.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (48%) swap=1.3/2.9GB (44%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=600 t=73.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.8/16.0GB (49%) swap=1.3/2.9GB (44%) cpu=77% browser_rss=1.37GB\n [capture-loop] iter=650 t=79.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=10.4/16.0GB (65%) swap=1.3/2.9GB (44%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=700 t=85.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (52%) swap=1.3/2.9GB (44%) cpu=83% browser_rss=1.37GB\n Frame 5 saved (frame_004.jpg, t=88.2s)\n [capture-periodic] freeze=11ms shot=192ms unfreeze=15ms saved=True\n Frame 6 saved (frame_005.jpg, t=90.5s)\n [capture-periodic] freeze=4ms shot=225ms unfreeze=15ms saved=True\n [capture-loop] iter=750 t=91.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=9.8/16.0GB (61%) swap=1.3/2.9GB (44%) cpu=93% browser_rss=1.38GB\n Frame 7 saved (frame_006.jpg, t=92.8s)\n [capture-periodic] freeze=4ms shot=196ms unfreeze=6ms saved=True\n [capture-loop] iter=800 t=98.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=21 ram=10.9/16.0GB (68%) swap=1.3/2.9GB (44%) cpu=96% browser_rss=1.38GB\n [capture-loop] iter=850 t=104.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.6/16.0GB (60%) swap=1.3/2.9GB (44%) cpu=95% browser_rss=1.37GB\n Frame 8 saved (frame_007.jpg, t=106.6s)\n [capture-periodic] freeze=4ms shot=169ms unfreeze=5ms saved=True\n [capture-loop] iter=900 t=110.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=9.4/16.0GB (59%) swap=1.3/2.9GB (44%) cpu=59% browser_rss=1.37GB"
"time": 105.39,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=5ms shot=100ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=4ms shot=105ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=35% browser_rss=0.95GB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=16% browser_rss=0.94GB\n [capture-loop] iter=150 t=17.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.6/2.9GB (22%) cpu=15% browser_rss=0.93GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=20.6s)\n [capture-node] freeze=60ms shot=198ms unfreeze=7ms saved=True\n [capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.8/2.9GB (28%) cpu=38% browser_rss=1.50GB\n [capture-loop] iter=250 t=30.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.43GB\n [capture-loop] iter=300 t=36.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.8/2.9GB (28%) cpu=68% browser_rss=1.42GB\n [capture-loop] iter=350 t=42.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.42GB\n [capture-loop] iter=400 t=48.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.1/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=62% browser_rss=1.35GB\n [capture-loop] iter=450 t=54.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=0.8/2.9GB (27%) cpu=69% browser_rss=1.35GB\n [capture-loop] iter=500 t=60.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.8/2.9GB (27%) cpu=64% browser_rss=1.35GB\n [capture-loop] iter=550 t=66.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.5/16.0GB (47%) swap=0.9/2.9GB (32%) cpu=68% browser_rss=1.35GB\n [capture-loop] iter=600 t=72.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.7/16.0GB (48%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.35GB\n [capture-loop] iter=650 t=78.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.4/16.0GB (59%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.34GB\n [capture-loop] iter=700 t=84.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (51%) swap=0.9/2.9GB (32%) cpu=67% browser_rss=1.34GB\n Frame 5 saved (frame_004.jpg, t=86.7s)\n [capture-periodic] freeze=6ms shot=178ms unfreeze=11ms saved=True\n Frame 6 saved (frame_005.jpg, t=88.9s)\n [capture-periodic] freeze=5ms shot=180ms unfreeze=16ms saved=True\n [capture-loop] iter=750 t=90.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=10.9/16.0GB (68%) swap=0.9/2.9GB (32%) cpu=82% browser_rss=1.35GB\n [capture-loop] iter=800 t=96.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.9/16.0GB (62%) swap=0.9/2.9GB (32%) cpu=76% browser_rss=1.35GB\n Frame 7 saved (frame_006.jpg, t=98.1s)\n [capture-periodic] freeze=5ms shot=150ms unfreeze=13ms saved=True\n Node executed (2 total), capturing...\n Frame 8 saved (frame_007.jpg, t=99.8s)\n [capture-node] freeze=6ms shot=696ms unfreeze=8ms saved=True\n [capture-loop] iter=850 t=103.8s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=5 ram=9.6/16.0GB (60%) swap=0.9/2.9GB (32%) cpu=47% browser_rss=1.80GB"
},
{
"file": "frame_009.jpg",
"time": 113.82,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=4ms shot=111ms unfreeze=8ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=3ms shot=119ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=1.2/2.9GB (41%) cpu=61% browser_rss=0.92GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=8.5s)\n [capture-node] freeze=7ms shot=282ms unfreeze=4ms saved=True\n [capture-loop] iter=100 t=12.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.4/16.0GB (40%) swap=1.2/2.9GB (41%) cpu=73% browser_rss=1.39GB\n [capture-loop] iter=150 t=18.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.7/16.0GB (42%) swap=1.2/2.9GB (41%) cpu=85% browser_rss=1.38GB\n [capture-loop] iter=200 t=24.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=86% browser_rss=1.32GB\n [capture-loop] iter=250 t=30.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.32GB\n [capture-loop] iter=300 t=37.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.2/16.0GB (45%) swap=1.2/2.9GB (41%) cpu=87% browser_rss=1.43GB\n [capture-loop] iter=350 t=43.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.0/16.0GB (50%) swap=1.2/2.9GB (41%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=400 t=49.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=450 t=55.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=500 t=61.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=9.6/16.0GB (60%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=550 t=67.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (48%) swap=1.3/2.9GB (44%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=600 t=73.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.8/16.0GB (49%) swap=1.3/2.9GB (44%) cpu=77% browser_rss=1.37GB\n [capture-loop] iter=650 t=79.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=10.4/16.0GB (65%) swap=1.3/2.9GB (44%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=700 t=85.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (52%) swap=1.3/2.9GB (44%) cpu=83% browser_rss=1.37GB\n Frame 5 saved (frame_004.jpg, t=88.2s)\n [capture-periodic] freeze=11ms shot=192ms unfreeze=15ms saved=True\n Frame 6 saved (frame_005.jpg, t=90.5s)\n [capture-periodic] freeze=4ms shot=225ms unfreeze=15ms saved=True\n [capture-loop] iter=750 t=91.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=9.8/16.0GB (61%) swap=1.3/2.9GB (44%) cpu=93% browser_rss=1.38GB\n Frame 7 saved (frame_006.jpg, t=92.8s)\n [capture-periodic] freeze=4ms shot=196ms unfreeze=6ms saved=True\n [capture-loop] iter=800 t=98.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=21 ram=10.9/16.0GB (68%) swap=1.3/2.9GB (44%) cpu=96% browser_rss=1.38GB\n [capture-loop] iter=850 t=104.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.6/16.0GB (60%) swap=1.3/2.9GB (44%) cpu=95% browser_rss=1.37GB\n Frame 8 saved (frame_007.jpg, t=106.6s)\n [capture-periodic] freeze=4ms shot=169ms unfreeze=5ms saved=True\n [capture-loop] iter=900 t=110.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=9.4/16.0GB (59%) swap=1.3/2.9GB (44%) cpu=59% browser_rss=1.37GB\n Node executed (2 total), capturing...\n Frame 9 saved (frame_008.jpg, t=112.2s)\n [capture-node] freeze=5ms shot=164ms unfreeze=4ms saved=True"
"time": 106.56,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=5ms shot=100ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=4ms shot=105ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=35% browser_rss=0.95GB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.6/2.9GB (22%) cpu=16% browser_rss=0.94GB\n [capture-loop] iter=150 t=17.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.7/16.0GB (36%) swap=0.6/2.9GB (22%) cpu=15% browser_rss=0.93GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=20.6s)\n [capture-node] freeze=60ms shot=198ms unfreeze=7ms saved=True\n [capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (39%) swap=0.8/2.9GB (28%) cpu=38% browser_rss=1.50GB\n [capture-loop] iter=250 t=30.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.6/16.0GB (41%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.43GB\n [capture-loop] iter=300 t=36.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.8/16.0GB (42%) swap=0.8/2.9GB (28%) cpu=68% browser_rss=1.42GB\n [capture-loop] iter=350 t=42.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=66% browser_rss=1.42GB\n [capture-loop] iter=400 t=48.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.1/16.0GB (44%) swap=0.8/2.9GB (28%) cpu=62% browser_rss=1.35GB\n [capture-loop] iter=450 t=54.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=0.8/2.9GB (27%) cpu=69% browser_rss=1.35GB\n [capture-loop] iter=500 t=60.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.8/2.9GB (27%) cpu=64% browser_rss=1.35GB\n [capture-loop] iter=550 t=66.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.5/16.0GB (47%) swap=0.9/2.9GB (32%) cpu=68% browser_rss=1.35GB\n [capture-loop] iter=600 t=72.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.7/16.0GB (48%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.35GB\n [capture-loop] iter=650 t=78.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.4/16.0GB (59%) swap=0.9/2.9GB (32%) cpu=64% browser_rss=1.34GB\n [capture-loop] iter=700 t=84.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (51%) swap=0.9/2.9GB (32%) cpu=67% browser_rss=1.34GB\n Frame 5 saved (frame_004.jpg, t=86.7s)\n [capture-periodic] freeze=6ms shot=178ms unfreeze=11ms saved=True\n Frame 6 saved (frame_005.jpg, t=88.9s)\n [capture-periodic] freeze=5ms shot=180ms unfreeze=16ms saved=True\n [capture-loop] iter=750 t=90.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=10.9/16.0GB (68%) swap=0.9/2.9GB (32%) cpu=82% browser_rss=1.35GB\n [capture-loop] iter=800 t=96.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.9/16.0GB (62%) swap=0.9/2.9GB (32%) cpu=76% browser_rss=1.35GB\n Frame 7 saved (frame_006.jpg, t=98.1s)\n [capture-periodic] freeze=5ms shot=150ms unfreeze=13ms saved=True\n Node executed (2 total), capturing...\n Frame 8 saved (frame_007.jpg, t=99.8s)\n [capture-node] freeze=6ms shot=696ms unfreeze=8ms saved=True\n [capture-loop] iter=850 t=103.8s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=5 ram=9.6/16.0GB (60%) swap=0.9/2.9GB (32%) cpu=47% browser_rss=1.80GB\n Node executed (3 total), capturing...\n Frame 9 saved (frame_008.jpg, t=105.4s)\n [capture-node] freeze=629ms shot=223ms unfreeze=16ms saved=True"
},
{
"file": "frame_010.jpg",
"time": 115.08,
"log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=4ms shot=111ms unfreeze=8ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=3ms shot=119ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.6/16.0GB (35%) swap=1.2/2.9GB (41%) cpu=61% browser_rss=0.92GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=8.5s)\n [capture-node] freeze=7ms shot=282ms unfreeze=4ms saved=True\n [capture-loop] iter=100 t=12.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.4/16.0GB (40%) swap=1.2/2.9GB (41%) cpu=73% browser_rss=1.39GB\n [capture-loop] iter=150 t=18.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=6.7/16.0GB (42%) swap=1.2/2.9GB (41%) cpu=85% browser_rss=1.38GB\n [capture-loop] iter=200 t=24.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=86% browser_rss=1.32GB\n [capture-loop] iter=250 t=30.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.0/16.0GB (44%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.32GB\n [capture-loop] iter=300 t=37.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=7.2/16.0GB (45%) swap=1.2/2.9GB (41%) cpu=87% browser_rss=1.43GB\n [capture-loop] iter=350 t=43.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.0/16.0GB (50%) swap=1.2/2.9GB (41%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=400 t=49.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.3/16.0GB (46%) swap=1.2/2.9GB (41%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=450 t=55.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=500 t=61.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=9.6/16.0GB (60%) swap=1.2/2.9GB (40%) cpu=78% browser_rss=1.37GB\n [capture-loop] iter=550 t=67.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=7.6/16.0GB (48%) swap=1.3/2.9GB (44%) cpu=80% browser_rss=1.37GB\n [capture-loop] iter=600 t=73.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.8/16.0GB (49%) swap=1.3/2.9GB (44%) cpu=77% browser_rss=1.37GB\n [capture-loop] iter=650 t=79.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=10.4/16.0GB (65%) swap=1.3/2.9GB (44%) cpu=81% browser_rss=1.37GB\n [capture-loop] iter=700 t=85.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.2/16.0GB (52%) swap=1.3/2.9GB (44%) cpu=83% browser_rss=1.37GB\n Frame 5 saved (frame_004.jpg, t=88.2s)\n [capture-periodic] freeze=11ms shot=192ms unfreeze=15ms saved=True\n Frame 6 saved (frame_005.jpg, t=90.5s)\n [capture-periodic] freeze=4ms shot=225ms unfreeze=15ms saved=True\n [capture-loop] iter=750 t=91.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=9.8/16.0GB (61%) swap=1.3/2.9GB (44%) cpu=93% browser_rss=1.38GB\n Frame 7 saved (frame_006.jpg, t=92.8s)\n [capture-periodic] freeze=4ms shot=196ms unfreeze=6ms saved=True\n [capture-loop] iter=800 t=98.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=21 ram=10.9/16.0GB (68%) swap=1.3/2.9GB (44%) cpu=96% browser_rss=1.38GB\n [capture-loop] iter=850 t=104.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.6/16.0GB (60%) swap=1.3/2.9GB (44%) cpu=95% browser_rss=1.37GB\n Frame 8 saved (frame_007.jpg, t=106.6s)\n [capture-periodic] freeze=4ms shot=169ms unfreeze=5ms saved=True\n [capture-loop] iter=900 t=110.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=9.4/16.0GB (59%) swap=1.3/2.9GB (44%) cpu=59% browser_rss=1.37GB\n Node executed (2 total), capturing...\n Frame 9 saved (frame_008.jpg, t=112.2s)\n [capture-node] freeze=5ms shot=164ms unfreeze=4ms saved=True\n Node executed (3 total), capturing...\n Frame 10 saved (frame_009.jpg, t=113.8s)\n [capture-node] freeze=62ms shot=208ms unfreeze=20ms saved=True"
},
{
"file": "frame_011.jpg",
"time": 117.82867074012756,
"time": 109.54898643493652,
"log": "Final screenshot"
}
],
"total_time": 115.48
"total_time": 107.24
}
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@@ -7,39 +7,34 @@
},
{
"file": "frame_001.jpg",
"time": 2.24,
"time": 2.21,
"log": "Capturing execution frames: scene_seg_interactive.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution..."
},
{
"file": "frame_002.jpg",
"time": 4.54,
"log": "Capturing execution frames: scene_seg_interactive.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=3ms shot=128ms unfreeze=4ms saved=True"
"time": 4.45,
"log": "Capturing execution frames: scene_seg_interactive.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=5ms shot=106ms unfreeze=6ms saved=True"
},
{
"file": "frame_003.jpg",
"time": 9.09,
"log": "Capturing execution frames: scene_seg_interactive.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=3ms shot=128ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=167ms shot=102ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (37%) swap=2.4/2.9GB (82%) cpu=60% browser_rss=1.16GB"
"time": 69.11,
"log": "Capturing execution frames: scene_seg_interactive.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=5ms shot=106ms unfreeze=6ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=5ms shot=134ms unfreeze=6ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.8/16.0GB (49%) swap=0.9/4.4GB (20%) cpu=46% browser_rss=1.38GB\n [capture-loop] iter=100 t=12.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.0/16.0GB (50%) swap=0.9/4.4GB (20%) cpu=64% browser_rss=1.09GB\n [capture-loop] iter=150 t=17.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.9/16.0GB (50%) swap=0.9/2.9GB (31%) cpu=66% browser_rss=1.09GB\n [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.1/16.0GB (50%) swap=0.9/2.9GB (31%) cpu=58% browser_rss=1.09GB\n [capture-loop] iter=250 t=29.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=9.4/16.0GB (58%) swap=1.0/2.9GB (35%) cpu=59% browser_rss=1.09GB\n [capture-loop] iter=300 t=35.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=58% browser_rss=1.09GB\n [capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=56% browser_rss=1.09GB\n [capture-loop] iter=400 t=47.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=1.0/2.9GB (35%) cpu=61% browser_rss=1.09GB\n [capture-loop] iter=450 t=53.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.7/16.0GB (54%) swap=1.0/2.9GB (35%) cpu=56% browser_rss=1.03GB\n [capture-loop] iter=500 t=59.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=1.0/2.9GB (35%) cpu=66% browser_rss=1.03GB\n [capture-loop] iter=550 t=65.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=1.0/2.9GB (35%) cpu=73% browser_rss=1.02GB"
},
{
"file": "frame_004.jpg",
"time": 86.63,
"log": "Capturing execution frames: scene_seg_interactive.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=3ms shot=128ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=167ms shot=102ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (37%) swap=2.4/2.9GB (82%) cpu=60% browser_rss=1.16GB\n Frame 4 saved (frame_003.jpg, t=9.1s)\n [capture-periodic] freeze=3ms shot=141ms unfreeze=5ms saved=True\n [capture-loop] iter=100 t=12.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=5.9/16.0GB (37%) swap=2.7/2.9GB (95%) cpu=64% browser_rss=1.10GB\n [capture-loop] iter=150 t=17.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (39%) swap=2.7/2.9GB (95%) cpu=81% browser_rss=1.09GB\n [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (40%) swap=2.7/2.9GB (95%) cpu=83% browser_rss=1.09GB\n [capture-loop] iter=250 t=29.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.5/16.0GB (40%) swap=2.7/2.9GB (95%) cpu=80% browser_rss=1.09GB\n [capture-loop] iter=300 t=35.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.1/16.0GB (44%) swap=2.7/2.9GB (95%) cpu=76% browser_rss=1.09GB\n [capture-loop] iter=350 t=43.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (51%) swap=2.7/2.9GB (94%) cpu=71% browser_rss=1.03GB\n [capture-loop] iter=400 t=48.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.8/16.0GB (43%) swap=2.7/2.9GB (92%) cpu=62% browser_rss=1.03GB\n [capture-loop] iter=450 t=54.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.0/16.0GB (44%) swap=2.7/2.9GB (92%) cpu=53% browser_rss=1.03GB\n [capture-loop] iter=500 t=60.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=2.7/2.9GB (92%) cpu=61% browser_rss=1.02GB\n [capture-loop] iter=550 t=66.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=2.7/2.9GB (92%) cpu=55% browser_rss=1.03GB\n [capture-loop] iter=600 t=71.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=2.7/2.9GB (92%) cpu=59% browser_rss=1.02GB\n [capture-loop] iter=650 t=77.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=12 ram=7.6/16.0GB (48%) swap=2.7/2.9GB (92%) cpu=73% browser_rss=1.02GB\n [capture-loop] iter=700 t=83.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.8/16.0GB (49%) swap=2.7/2.9GB (92%) cpu=80% browser_rss=1.02GB"
"time": 73.65,
"log": "Capturing execution frames: scene_seg_interactive.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=5ms shot=106ms unfreeze=6ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=5ms shot=134ms unfreeze=6ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.8/16.0GB (49%) swap=0.9/4.4GB (20%) cpu=46% browser_rss=1.38GB\n [capture-loop] iter=100 t=12.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.0/16.0GB (50%) swap=0.9/4.4GB (20%) cpu=64% browser_rss=1.09GB\n [capture-loop] iter=150 t=17.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.9/16.0GB (50%) swap=0.9/2.9GB (31%) cpu=66% browser_rss=1.09GB\n [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.1/16.0GB (50%) swap=0.9/2.9GB (31%) cpu=58% browser_rss=1.09GB\n [capture-loop] iter=250 t=29.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=9.4/16.0GB (58%) swap=1.0/2.9GB (35%) cpu=59% browser_rss=1.09GB\n [capture-loop] iter=300 t=35.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=58% browser_rss=1.09GB\n [capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=56% browser_rss=1.09GB\n [capture-loop] iter=400 t=47.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=1.0/2.9GB (35%) cpu=61% browser_rss=1.09GB\n [capture-loop] iter=450 t=53.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.7/16.0GB (54%) swap=1.0/2.9GB (35%) cpu=56% browser_rss=1.03GB\n [capture-loop] iter=500 t=59.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=1.0/2.9GB (35%) cpu=66% browser_rss=1.03GB\n [capture-loop] iter=550 t=65.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=1.0/2.9GB (35%) cpu=73% browser_rss=1.02GB\n Frame 4 saved (frame_003.jpg, t=69.1s)\n [capture-periodic] freeze=5ms shot=153ms unfreeze=5ms saved=True\n [capture-loop] iter=600 t=71.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=10.4/16.0GB (65%) swap=1.0/2.9GB (35%) cpu=74% browser_rss=1.03GB"
},
{
"file": "frame_005.jpg",
"time": 89.95,
"log": "Capturing execution frames: scene_seg_interactive.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=3ms shot=128ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=167ms shot=102ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (37%) swap=2.4/2.9GB (82%) cpu=60% browser_rss=1.16GB\n Frame 4 saved (frame_003.jpg, t=9.1s)\n [capture-periodic] freeze=3ms shot=141ms unfreeze=5ms saved=True\n [capture-loop] iter=100 t=12.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=5.9/16.0GB (37%) swap=2.7/2.9GB (95%) cpu=64% browser_rss=1.10GB\n [capture-loop] iter=150 t=17.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (39%) swap=2.7/2.9GB (95%) cpu=81% browser_rss=1.09GB\n [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (40%) swap=2.7/2.9GB (95%) cpu=83% browser_rss=1.09GB\n [capture-loop] iter=250 t=29.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.5/16.0GB (40%) swap=2.7/2.9GB (95%) cpu=80% browser_rss=1.09GB\n [capture-loop] iter=300 t=35.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.1/16.0GB (44%) swap=2.7/2.9GB (95%) cpu=76% browser_rss=1.09GB\n [capture-loop] iter=350 t=43.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (51%) swap=2.7/2.9GB (94%) cpu=71% browser_rss=1.03GB\n [capture-loop] iter=400 t=48.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.8/16.0GB (43%) swap=2.7/2.9GB (92%) cpu=62% browser_rss=1.03GB\n [capture-loop] iter=450 t=54.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.0/16.0GB (44%) swap=2.7/2.9GB (92%) cpu=53% browser_rss=1.03GB\n [capture-loop] iter=500 t=60.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=2.7/2.9GB (92%) cpu=61% browser_rss=1.02GB\n [capture-loop] iter=550 t=66.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=2.7/2.9GB (92%) cpu=55% browser_rss=1.03GB\n [capture-loop] iter=600 t=71.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=2.7/2.9GB (92%) cpu=59% browser_rss=1.02GB\n [capture-loop] iter=650 t=77.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=12 ram=7.6/16.0GB (48%) swap=2.7/2.9GB (92%) cpu=73% browser_rss=1.02GB\n [capture-loop] iter=700 t=83.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.8/16.0GB (49%) swap=2.7/2.9GB (92%) cpu=80% browser_rss=1.02GB\n Frame 5 saved (frame_004.jpg, t=86.6s)\n [capture-periodic] freeze=3ms shot=133ms unfreeze=5ms saved=True"
"time": 74.53,
"log": "Capturing execution frames: scene_seg_interactive.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=5ms shot=106ms unfreeze=6ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=5ms shot=134ms unfreeze=6ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.8/16.0GB (49%) swap=0.9/4.4GB (20%) cpu=46% browser_rss=1.38GB\n [capture-loop] iter=100 t=12.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.0/16.0GB (50%) swap=0.9/4.4GB (20%) cpu=64% browser_rss=1.09GB\n [capture-loop] iter=150 t=17.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.9/16.0GB (50%) swap=0.9/2.9GB (31%) cpu=66% browser_rss=1.09GB\n [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.1/16.0GB (50%) swap=0.9/2.9GB (31%) cpu=58% browser_rss=1.09GB\n [capture-loop] iter=250 t=29.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=9.4/16.0GB (58%) swap=1.0/2.9GB (35%) cpu=59% browser_rss=1.09GB\n [capture-loop] iter=300 t=35.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=58% browser_rss=1.09GB\n [capture-loop] iter=350 t=41.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (35%) cpu=56% browser_rss=1.09GB\n [capture-loop] iter=400 t=47.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=1.0/2.9GB (35%) cpu=61% browser_rss=1.09GB\n [capture-loop] iter=450 t=53.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.7/16.0GB (54%) swap=1.0/2.9GB (35%) cpu=56% browser_rss=1.03GB\n [capture-loop] iter=500 t=59.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=1.0/2.9GB (35%) cpu=66% browser_rss=1.03GB\n [capture-loop] iter=550 t=65.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=1.0/2.9GB (35%) cpu=73% browser_rss=1.02GB\n Frame 4 saved (frame_003.jpg, t=69.1s)\n [capture-periodic] freeze=5ms shot=153ms unfreeze=5ms saved=True\n [capture-loop] iter=600 t=71.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=10.4/16.0GB (65%) swap=1.0/2.9GB (35%) cpu=74% browser_rss=1.03GB\n Node executed (1 total), capturing...\n Frame 5 saved (frame_004.jpg, t=73.7s)\n [capture-node] freeze=72ms shot=511ms unfreeze=9ms saved=True"
},
{
"file": "frame_006.jpg",
"time": 90.82,
"log": "Capturing execution frames: scene_seg_interactive.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=3ms shot=128ms unfreeze=4ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=167ms shot=102ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.0/16.0GB (37%) swap=2.4/2.9GB (82%) cpu=60% browser_rss=1.16GB\n Frame 4 saved (frame_003.jpg, t=9.1s)\n [capture-periodic] freeze=3ms shot=141ms unfreeze=5ms saved=True\n [capture-loop] iter=100 t=12.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=5.9/16.0GB (37%) swap=2.7/2.9GB (95%) cpu=64% browser_rss=1.10GB\n [capture-loop] iter=150 t=17.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.2/16.0GB (39%) swap=2.7/2.9GB (95%) cpu=81% browser_rss=1.09GB\n [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (40%) swap=2.7/2.9GB (95%) cpu=83% browser_rss=1.09GB\n [capture-loop] iter=250 t=29.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.5/16.0GB (40%) swap=2.7/2.9GB (95%) cpu=80% browser_rss=1.09GB\n [capture-loop] iter=300 t=35.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.1/16.0GB (44%) swap=2.7/2.9GB (95%) cpu=76% browser_rss=1.09GB\n [capture-loop] iter=350 t=43.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (51%) swap=2.7/2.9GB (94%) cpu=71% browser_rss=1.03GB\n [capture-loop] iter=400 t=48.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.8/16.0GB (43%) swap=2.7/2.9GB (92%) cpu=62% browser_rss=1.03GB\n [capture-loop] iter=450 t=54.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.0/16.0GB (44%) swap=2.7/2.9GB (92%) cpu=53% browser_rss=1.03GB\n [capture-loop] iter=500 t=60.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=2.7/2.9GB (92%) cpu=61% browser_rss=1.02GB\n [capture-loop] iter=550 t=66.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.2/16.0GB (45%) swap=2.7/2.9GB (92%) cpu=55% browser_rss=1.03GB\n [capture-loop] iter=600 t=71.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.5/16.0GB (47%) swap=2.7/2.9GB (92%) cpu=59% browser_rss=1.02GB\n [capture-loop] iter=650 t=77.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=12 ram=7.6/16.0GB (48%) swap=2.7/2.9GB (92%) cpu=73% browser_rss=1.02GB\n [capture-loop] iter=700 t=83.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.8/16.0GB (49%) swap=2.7/2.9GB (92%) cpu=80% browser_rss=1.02GB\n Frame 5 saved (frame_004.jpg, t=86.6s)\n [capture-periodic] freeze=3ms shot=133ms unfreeze=5ms saved=True\n Node executed (1 total), capturing...\n Frame 6 saved (frame_005.jpg, t=90.0s)\n [capture-node] freeze=58ms shot=527ms unfreeze=4ms saved=True"
},
{
"file": "frame_007.jpg",
"time": 93.28170037269592,
"time": 77.05023956298828,
"log": "Final screenshot"
}
],
"total_time": 91.01
"total_time": 74.74
}