1617 lines
355 KiB
HTML
1617 lines
355 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>PozzettiAndrea/ComfyUI-DepthAnythingV3 - Test Results</title>
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<style>
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* { margin: 0; padding: 0; box-sizing: border-box; }
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body {
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font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
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background: #0f1923;
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color: #e6edf3;
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min-height: 100vh;
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line-height: 1.6;
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}
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header {
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background: #162033;
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padding: 1.25rem 2rem;
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border-bottom: 1px solid #243656;
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}
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body.in-iframe header {
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display: none;
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}
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body.in-iframe .container {
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padding-top: 1.25rem;
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}
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body.in-iframe .summary-meta {
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display: flex;
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gap: 0.5rem;
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flex-wrap: wrap;
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margin-bottom: 1rem;
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}
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h1 {
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font-size: 1.25rem;
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font-weight: 600;
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margin-bottom: 0.5rem;
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}
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h1 a {
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color: #e6edf3;
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text-decoration: none;
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}
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h1 a:hover { color: #58a6ff; }
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.meta-chips {
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display: flex;
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gap: 0.5rem;
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flex-wrap: wrap;
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align-items: center;
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}
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.meta-chip {
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display: inline-flex;
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align-items: center;
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gap: 0.35rem;
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padding: 0.2rem 0.6rem;
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background: #1c2d44;
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border: 1px solid #243656;
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border-radius: 2rem;
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font-size: 0.75rem;
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color: #8ba3c1;
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}
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a.meta-chip {
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text-decoration: none;
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transition: background 0.15s, border-color 0.15s, color 0.15s;
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}
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a.meta-chip:hover {
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background: #25395a;
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border-color: #3a5587;
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color: #cfe1f7;
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}
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.meta-chip svg {
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width: 12px;
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height: 12px;
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fill: currentColor;
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flex-shrink: 0;
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}
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.container {
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max-width: 1400px;
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margin: 0 auto;
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padding: 2rem;
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}
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/* Summary Section */
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.summary {
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background: #162033;
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border: 1px solid #243656;
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border-radius: 8px;
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padding: 1.5rem;
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margin-bottom: 2rem;
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}
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.progress-wrapper {
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display: flex;
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align-items: center;
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gap: 1rem;
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margin-bottom: 1rem;
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}
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.progress-bar {
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background: #1c2d44;
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border-radius: 6px;
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height: 10px;
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overflow: hidden;
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flex: 1;
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}
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.progress-fill {
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background: #3fb950;
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height: 100%;
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border-radius: 6px;
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transition: width 0.3s ease;
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}
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.progress-fill.has-failures {
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background: linear-gradient(90deg, #3fb950 0%, #3fb950 100.0%, #f85149 100.0%, #f85149 100%);
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width: 100% !important;
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border-radius: 6px;
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}
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.progress-label {
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font-size: 0.85rem;
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font-weight: 600;
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color: #8ba3c1;
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white-space: nowrap;
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min-width: 3.5rem;
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text-align: right;
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}
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.stats {
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display: flex;
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gap: 0.75rem;
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flex-wrap: wrap;
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align-items: center;
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}
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.stat-badge {
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padding: 0.35rem 0.75rem;
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border-radius: 2rem;
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font-weight: 600;
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font-size: 0.8rem;
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}
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.stat-pass {
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background: rgba(63, 185, 80, 0.15);
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color: #3fb950;
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}
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.stat-fail {
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background: rgba(248, 81, 73, 0.15);
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color: #f85149;
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}
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.stat-total {
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color: #8ba3c1;
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font-size: 0.85rem;
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}
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/* Failed Section */
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.failed-section {
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background: rgba(248, 81, 73, 0.08);
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border: 1px solid rgba(248, 81, 73, 0.3);
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border-radius: 8px;
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padding: 1.25rem;
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margin-bottom: 2rem;
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}
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.failed-section h2 {
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color: #f85149;
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font-size: 0.9rem;
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font-weight: 600;
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margin-bottom: 0.75rem;
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}
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.failed-item {
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background: #162033;
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border: 1px solid #243656;
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border-radius: 6px;
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padding: 1rem;
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margin-bottom: 0.5rem;
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}
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.failed-item:last-child {
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margin-bottom: 0;
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}
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.failed-header {
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display: flex;
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justify-content: space-between;
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align-items: center;
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margin-bottom: 0.5rem;
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}
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.failed-name {
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font-weight: 600;
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color: #f85149;
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}
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.failed-duration {
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color: #8ba3c1;
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font-size: 0.8rem;
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}
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.failed-error {
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background: #0f1923;
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border: 1px solid #243656;
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padding: 0.75rem;
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border-radius: 6px;
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font-family: 'SFMono-Regular', 'Menlo', 'Monaco', monospace;
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font-size: 0.8rem;
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color: #d29922;
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margin-bottom: 0.5rem;
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}
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.log-link {
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color: #58a6ff;
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text-decoration: none;
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font-size: 0.8rem;
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}
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.log-link:hover {
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text-decoration: underline;
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}
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/* Workflow Grid */
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.section-header {
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display: flex;
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justify-content: space-between;
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align-items: center;
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margin-bottom: 1.25rem;
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}
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.section-title {
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font-size: 0.8rem;
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color: #8ba3c1;
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font-weight: 600;
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text-transform: uppercase;
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letter-spacing: 0.06em;
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}
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.view-controls {
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display: flex;
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gap: 0;
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align-items: center;
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border: 1px solid #243656;
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border-radius: 6px;
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overflow: hidden;
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}
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.view-btn {
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background: #1c2d44;
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color: #8ba3c1;
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border: none;
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border-right: 1px solid #243656;
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padding: 0.3rem 0.75rem;
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cursor: pointer;
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font-size: 0.75rem;
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font-weight: 500;
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transition: all 0.15s;
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}
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.view-btn:last-child {
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border-right: none;
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}
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.view-btn:hover {
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background: #243656;
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color: #e6edf3;
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}
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.view-btn.active {
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background: #58a6ff;
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color: #fff;
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}
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.workflow-grid {
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display: grid;
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grid-template-columns: repeat(4, 1fr);
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gap: 1rem;
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}
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.workflow-grid.view-list {
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grid-template-columns: 1fr;
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gap: 0;
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}
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.workflow-grid.view-list .workflow-card {
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border-radius: 0;
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border-bottom: 1px solid #243656;
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}
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.workflow-grid.view-list .workflow-card:first-child {
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border-radius: 8px 8px 0 0;
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}
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.workflow-grid.view-list .workflow-card:last-child {
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border-radius: 0 0 8px 8px;
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border-bottom: none;
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}
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.workflow-grid.view-list .workflow-card:only-child {
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border-radius: 8px;
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}
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.workflow-grid.view-list .workflow-screenshot {
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width: 100%;
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height: auto;
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aspect-ratio: auto;
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}
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.workflow-grid.view-list .workflow-info {
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border-top: 1px solid #243656;
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padding: 0.75rem 1rem;
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}
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.workflow-grid.view-list .workflow-name {
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max-width: none;
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font-size: 0.9rem;
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}
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.workflow-card {
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background: #162033;
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border: 1px solid #243656;
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border-radius: 8px;
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overflow: hidden;
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transition: transform 0.15s, border-color 0.15s;
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}
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.workflow-card:hover {
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transform: translateY(-1px);
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border-color: #4a6282;
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}
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.workflow-card.clickable {
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cursor: pointer;
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}
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.workflow-card.failed {
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border-color: #f85149;
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}
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.workflow-card.failed:hover {
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border-color: #f85149;
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}
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.workflow-screenshot {
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width: 100%;
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aspect-ratio: 16/10;
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object-fit: cover;
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background: #0f1923;
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display: block;
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}
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.workflow-screenshot.placeholder {
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display: flex;
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align-items: center;
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justify-content: center;
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color: #4a6282;
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font-size: 0.8rem;
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}
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.workflow-info {
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padding: 0.75rem 1rem;
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border-top: 1px solid #243656;
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}
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.workflow-header {
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display: flex;
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justify-content: space-between;
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align-items: center;
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gap: 0.5rem;
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margin-bottom: 0.25rem;
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}
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.workflow-name {
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font-weight: 500;
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font-size: 0.85rem;
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color: #e6edf3;
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white-space: nowrap;
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overflow: hidden;
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text-overflow: ellipsis;
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max-width: 65%;
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}
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.workflow-badge {
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padding: 0.15rem 0.5rem;
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border-radius: 2rem;
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font-size: 0.7rem;
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font-weight: 600;
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text-transform: uppercase;
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letter-spacing: 0.03em;
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flex-shrink: 0;
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}
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.workflow-badge.pass {
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background: rgba(63, 185, 80, 0.15);
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color: #3fb950;
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}
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.workflow-badge.fail {
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background: rgba(248, 81, 73, 0.15);
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color: #f85149;
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}
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.workflow-meta {
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display: flex;
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justify-content: space-between;
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align-items: center;
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font-size: 0.75rem;
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color: #4a6282;
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}
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/* Lightbox */
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.lightbox {
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display: none;
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position: fixed;
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top: 0;
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left: 0;
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width: 100%;
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height: 100%;
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background: rgba(1, 4, 9, 0.9);
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z-index: 1000;
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justify-content: center;
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align-items: flex-start;
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padding: 2rem;
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overflow-y: auto;
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}
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.lightbox.active {
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display: flex;
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}
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.lightbox-content {
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display: flex;
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flex-direction: column;
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max-width: 1200px;
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width: 100%;
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margin: auto;
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}
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.lightbox-content img {
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max-width: 100%;
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max-height: 60vh;
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object-fit: contain;
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border-radius: 8px;
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border: 1px solid #243656;
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align-self: center;
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cursor: zoom-in;
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}
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.img-overlay {
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display: none;
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position: fixed;
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top: 0;
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left: 0;
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width: 100vw;
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height: 100vh;
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z-index: 1002;
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background: rgba(1, 4, 9, 0.95);
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overflow: auto;
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align-items: center;
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justify-content: center;
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}
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.img-overlay.active {
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display: flex;
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}
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.img-overlay.zoomed {
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align-items: flex-start;
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justify-content: flex-start;
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}
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.img-overlay img {
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max-width: 100%;
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max-height: 100%;
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object-fit: contain;
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cursor: zoom-in;
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}
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.img-overlay.zoomed img {
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max-width: none;
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max-height: none;
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cursor: zoom-out;
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}
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.lightbox-close {
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position: fixed;
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top: 1rem;
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right: 1.5rem;
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font-size: 2rem;
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color: #e6edf3;
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cursor: pointer;
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opacity: 0.6;
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background: none;
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border: none;
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z-index: 1001;
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}
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.lightbox-close:hover {
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opacity: 1;
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}
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.lightbox-nav {
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position: fixed;
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top: 50%;
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transform: translateY(-50%);
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background: rgba(22, 32, 51, 0.8);
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border: 1px solid #243656;
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color: #e6edf3;
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font-size: 2.5rem;
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width: 48px;
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height: 64px;
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border-radius: 8px;
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cursor: pointer;
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opacity: 0.6;
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z-index: 1001;
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display: flex;
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align-items: center;
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justify-content: center;
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transition: opacity 0.15s;
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padding: 0;
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line-height: 1;
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}
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.lightbox-nav:hover {
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opacity: 1;
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}
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|
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.lightbox-nav-left { left: 1rem; }
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.lightbox-nav-right { right: 1rem; }
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.lightbox-info {
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display: flex;
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justify-content: space-between;
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align-items: center;
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padding: 1rem 1.25rem;
|
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background: #162033;
|
|
border: 1px solid #243656;
|
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border-radius: 8px;
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margin-top: 1rem;
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}
|
|
|
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.lightbox-title {
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font-size: 1rem;
|
|
font-weight: 600;
|
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color: #e6edf3;
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}
|
|
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.lightbox-hardware {
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display: block;
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font-size: 0.75rem;
|
|
color: #8ba3c1;
|
|
margin-top: 0.25rem;
|
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}
|
|
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.lightbox-meta {
|
|
display: flex;
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gap: 1rem;
|
|
align-items: center;
|
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}
|
|
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.lightbox-badge {
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padding: 0.25rem 0.75rem;
|
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border-radius: 2rem;
|
|
font-size: 0.8rem;
|
|
font-weight: 600;
|
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text-transform: uppercase;
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}
|
|
|
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.lightbox-badge.pass {
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background: rgba(63, 185, 80, 0.15);
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color: #3fb950;
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}
|
|
|
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.lightbox-badge.fail {
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background: rgba(248, 81, 73, 0.15);
|
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color: #f85149;
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}
|
|
|
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.lightbox-duration {
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color: #8ba3c1;
|
|
font-size: 0.85rem;
|
|
}
|
|
|
|
.lightbox-log {
|
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background: #0f1923;
|
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border: 1px solid #243656;
|
|
border-radius: 8px;
|
|
padding: 1rem;
|
|
margin-top: 1rem;
|
|
max-height: 300px;
|
|
overflow-y: auto;
|
|
font-family: 'SFMono-Regular', 'Menlo', 'Monaco', monospace;
|
|
font-size: 0.8rem;
|
|
line-height: 1.5;
|
|
white-space: pre-wrap;
|
|
word-break: break-all;
|
|
color: #8ba3c1;
|
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}
|
|
|
|
.lightbox-log::-webkit-scrollbar {
|
|
width: 8px;
|
|
}
|
|
|
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.lightbox-log::-webkit-scrollbar-track {
|
|
background: #162033;
|
|
border-radius: 4px;
|
|
}
|
|
|
|
.lightbox-log::-webkit-scrollbar-thumb {
|
|
background: #243656;
|
|
border-radius: 4px;
|
|
}
|
|
|
|
.lightbox-log::-webkit-scrollbar-thumb:hover {
|
|
background: #4a6282;
|
|
}
|
|
|
|
/* Resource Graph */
|
|
.resource-graph {
|
|
display: none;
|
|
margin-top: 1rem;
|
|
background: #162033;
|
|
border: 1px solid #243656;
|
|
border-radius: 8px;
|
|
padding: 1rem;
|
|
}
|
|
|
|
.resource-graph.active {
|
|
display: block;
|
|
}
|
|
|
|
.resource-graph-title {
|
|
font-size: 0.8rem;
|
|
color: #8ba3c1;
|
|
font-weight: 500;
|
|
margin-bottom: 0.5rem;
|
|
}
|
|
|
|
.resource-graph canvas {
|
|
width: 100%;
|
|
height: 120px;
|
|
cursor: crosshair;
|
|
}
|
|
|
|
.resource-legend {
|
|
display: flex;
|
|
gap: 1rem;
|
|
margin-top: 0.5rem;
|
|
font-size: 0.75rem;
|
|
color: #8ba3c1;
|
|
}
|
|
|
|
.resource-legend span {
|
|
display: flex;
|
|
align-items: center;
|
|
gap: 4px;
|
|
}
|
|
|
|
.resource-legend .dot {
|
|
width: 8px;
|
|
height: 8px;
|
|
border-radius: 50%;
|
|
}
|
|
|
|
.resource-legend .ram { background: #3fb950; }
|
|
.resource-legend .gpu { background: #d29922; }
|
|
|
|
/* Video Player */
|
|
.video-player {
|
|
display: none;
|
|
margin-top: 1rem;
|
|
background: #162033;
|
|
border: 1px solid #243656;
|
|
border-radius: 8px;
|
|
padding: 1rem;
|
|
}
|
|
|
|
.video-player.active {
|
|
display: block;
|
|
}
|
|
|
|
.video-controls {
|
|
display: flex;
|
|
align-items: center;
|
|
gap: 1rem;
|
|
margin-top: 0.5rem;
|
|
}
|
|
|
|
.video-play-btn {
|
|
background: #58a6ff;
|
|
color: #fff;
|
|
border: none;
|
|
padding: 0.4rem 1rem;
|
|
border-radius: 6px;
|
|
cursor: pointer;
|
|
font-size: 0.8rem;
|
|
font-weight: 500;
|
|
}
|
|
|
|
.video-play-btn:hover {
|
|
background: #79b8ff;
|
|
}
|
|
|
|
.video-frame-counter {
|
|
color: #8ba3c1;
|
|
font-size: 0.8rem;
|
|
}
|
|
|
|
.video-slider-container {
|
|
padding: 15px 0;
|
|
}
|
|
|
|
/* noUiSlider customization */
|
|
#video-slider {
|
|
height: 6px;
|
|
background: #1c2d44;
|
|
border: none;
|
|
box-shadow: none;
|
|
}
|
|
|
|
#video-slider .noUi-connect {
|
|
background: #58a6ff;
|
|
}
|
|
|
|
#video-slider .noUi-handle {
|
|
width: 16px;
|
|
height: 16px;
|
|
background: #58a6ff;
|
|
border: none;
|
|
border-radius: 50%;
|
|
box-shadow: none;
|
|
top: -5px;
|
|
right: -8px;
|
|
cursor: pointer;
|
|
}
|
|
|
|
#video-slider .noUi-handle:before,
|
|
#video-slider .noUi-handle:after {
|
|
display: none;
|
|
}
|
|
|
|
/* Pips (tick marks) */
|
|
.noUi-pips {
|
|
color: #4a6282;
|
|
}
|
|
|
|
.noUi-marker {
|
|
background: #243656;
|
|
width: 2px;
|
|
}
|
|
|
|
.noUi-marker-large {
|
|
height: 12px;
|
|
}
|
|
|
|
.noUi-value {
|
|
display: none;
|
|
}
|
|
|
|
/* Models Section */
|
|
.models-section {
|
|
margin-top: 2rem;
|
|
margin-bottom: 2rem;
|
|
}
|
|
|
|
.models-total {
|
|
font-size: 0.8rem;
|
|
color: #8ba3c1;
|
|
}
|
|
|
|
.models-folder {
|
|
background: #162033;
|
|
border: 1px solid #243656;
|
|
border-radius: 8px;
|
|
margin-bottom: 0.5rem;
|
|
overflow: hidden;
|
|
}
|
|
|
|
.models-folder-header {
|
|
display: flex;
|
|
justify-content: space-between;
|
|
align-items: center;
|
|
padding: 0.75rem 1rem;
|
|
cursor: pointer;
|
|
user-select: none;
|
|
list-style: none;
|
|
}
|
|
|
|
.models-folder-header::-webkit-details-marker {
|
|
display: none;
|
|
}
|
|
|
|
.models-folder-header::before {
|
|
content: '\25B6';
|
|
font-size: 0.6rem;
|
|
color: #4a6282;
|
|
margin-right: 0.5rem;
|
|
transition: transform 0.15s;
|
|
}
|
|
|
|
.models-folder[open] > .models-folder-header::before {
|
|
transform: rotate(90deg);
|
|
}
|
|
|
|
.models-folder-name {
|
|
font-family: 'SFMono-Regular', 'Menlo', 'Monaco', monospace;
|
|
font-size: 0.85rem;
|
|
font-weight: 600;
|
|
color: #58a6ff;
|
|
}
|
|
|
|
.models-folder-meta {
|
|
display: flex;
|
|
align-items: center;
|
|
gap: 0.75rem;
|
|
}
|
|
|
|
.models-folder-size {
|
|
font-size: 0.8rem;
|
|
font-weight: 600;
|
|
color: #8ba3c1;
|
|
}
|
|
|
|
.models-source-link {
|
|
font-size: 0.75rem;
|
|
color: #3fb950;
|
|
text-decoration: none;
|
|
padding: 0.15rem 0.5rem;
|
|
background: rgba(63, 185, 80, 0.1);
|
|
border: 1px solid rgba(63, 185, 80, 0.2);
|
|
border-radius: 2rem;
|
|
}
|
|
|
|
.models-source-link:hover {
|
|
background: rgba(63, 185, 80, 0.2);
|
|
text-decoration: none;
|
|
}
|
|
|
|
.models-file-list {
|
|
border-top: 1px solid #243656;
|
|
padding: 0.25rem 0;
|
|
}
|
|
|
|
.models-file {
|
|
display: flex;
|
|
justify-content: space-between;
|
|
align-items: center;
|
|
padding: 0.35rem 1rem 0.35rem 2rem;
|
|
font-size: 0.8rem;
|
|
}
|
|
|
|
.models-file:hover {
|
|
background: rgba(88, 166, 255, 0.05);
|
|
}
|
|
|
|
.models-file-path {
|
|
font-family: 'SFMono-Regular', 'Menlo', 'Monaco', monospace;
|
|
color: #8ba3c1;
|
|
word-break: break-all;
|
|
}
|
|
|
|
.models-file-size {
|
|
color: #4a6282;
|
|
white-space: nowrap;
|
|
margin-left: 1rem;
|
|
flex-shrink: 0;
|
|
}
|
|
|
|
/* Footer */
|
|
footer {
|
|
text-align: center;
|
|
padding: 2.5rem;
|
|
color: #4a6282;
|
|
font-size: 0.8rem;
|
|
}
|
|
|
|
footer a {
|
|
color: #58a6ff;
|
|
text-decoration: none;
|
|
}
|
|
|
|
footer a:hover {
|
|
text-decoration: underline;
|
|
}
|
|
|
|
/* Responsive */
|
|
@media (max-width: 600px) {
|
|
.workflow-grid {
|
|
grid-template-columns: 1fr !important;
|
|
}
|
|
|
|
.workflow-grid.view-list .workflow-card {
|
|
grid-template-columns: 1fr;
|
|
}
|
|
|
|
.workflow-grid.view-list .workflow-screenshot {
|
|
width: 100%;
|
|
height: auto;
|
|
aspect-ratio: 16/10;
|
|
}
|
|
|
|
.stats {
|
|
flex-direction: column;
|
|
align-items: flex-start;
|
|
}
|
|
|
|
.section-header {
|
|
flex-direction: column;
|
|
align-items: flex-start;
|
|
gap: 0.5rem;
|
|
}
|
|
|
|
.container {
|
|
padding: 1rem;
|
|
}
|
|
}
|
|
</style>
|
|
<link href="https://cdn.jsdelivr.net/npm/nouislider@15/dist/nouislider.min.css" rel="stylesheet">
|
|
<script src="https://cdn.jsdelivr.net/npm/nouislider@15/dist/nouislider.min.js"></script>
|
|
</head>
|
|
<body>
|
|
<header>
|
|
<h1><a href="https://github.com/PozzettiAndrea/PozzettiAndrea/ComfyUI-DepthAnythingV3">PozzettiAndrea/ComfyUI-DepthAnythingV3</a> Test Results</h1>
|
|
<div class="meta-chips">
|
|
<span class="meta-chip"><svg viewBox="0 0 16 16"><path d="M8 0a8 8 0 110 16A8 8 0 018 0zm.5 4.5a.5.5 0 00-1 0v3.793L5.854 9.854a.5.5 0 10.708.708l1.853-1.854a.5.5 0 00.085-.094V4.5z"/></svg> 2026-05-16 19:48 UTC</span> <a class="meta-chip" href="https://github.com/PozzettiAndrea/comfy-gpu-ci/actions/runs/25971127848" target="_blank" rel="noopener noreferrer"><svg viewBox="0 0 16 16"><path d="M8 0a8 8 0 100 16A8 8 0 008 0zM6.5 4.5l5 3.5-5 3.5v-7z"/></svg> Test run</a> <span class="meta-chip"><svg viewBox="0 0 16 16"><path d="M2.5 4a.5.5 0 100 1 .5.5 0 000-1zM4 4.5a.5.5 0 01.5-.5h7a.5.5 0 010 1h-7a.5.5 0 01-.5-.5zM2.5 7a.5.5 0 100 1 .5.5 0 000-1zM4 7.5a.5.5 0 01.5-.5h7a.5.5 0 010 1h-7A.5.5 0 014 7.5zM2.5 10a.5.5 0 100 1 .5.5 0 000-1zM4 10.5a.5.5 0 01.5-.5h7a.5.5 0 010 1h-7a.5.5 0 01-.5-.5z"/></svg> macOS-15.7.4-arm64-arm-64bit-Mach-O</span> <span class="meta-chip"><svg viewBox="0 0 16 16"><path d="M5 0a.5.5 0 01.5.5V2h1V.5a.5.5 0 011 0V2h1V.5a.5.5 0 011 0V2h.5A2.5 2.5 0 0112.5 4.5H14v1h-1.5v1H14v1h-1.5v1H14v1h-1.5A2.5 2.5 0 0110 12h-.5v1.5a.5.5 0 01-1 0V12h-1v1.5a.5.5 0 01-1 0V12H6v1.5a.5.5 0 01-1 0V12h-.5A2.5 2.5 0 012 9.5H.5v-1H2v-1H.5v-1H2v-1H.5v-1H2A2.5 2.5 0 014.5 2V.5A.5.5 0 015 0zm-.5 4A1.5 1.5 0 003 5.5v4A1.5 1.5 0 004.5 11h6a1.5 1.5 0 001.5-1.5v-4A1.5 1.5 0 0010.5 4h-6z"/></svg> arm</span>
|
|
</div>
|
|
</header>
|
|
|
|
<div class="container">
|
|
<div class="summary">
|
|
<div class="progress-wrapper">
|
|
<div class="progress-bar">
|
|
<div class="progress-fill" style="width: 100.0%"></div>
|
|
</div>
|
|
<span class="progress-label">100.0%</span>
|
|
</div>
|
|
<div class="stats">
|
|
<span class="stat-badge stat-pass">4 passed</span>
|
|
|
|
<span class="stat-total">4/4 tests</span>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="section-header">
|
|
<h2 class="section-title">Workflows</h2>
|
|
<div class="view-controls">
|
|
<button class="view-btn active" onclick="setView('grid')">Grid</button>
|
|
<button class="view-btn" onclick="setView('list')">List</button>
|
|
</div>
|
|
</div>
|
|
<div class="workflow-grid" id="workflow-grid">
|
|
|
|
<div class="workflow-card clickable " onclick="openLightboxByName('advanced')">
|
|
|
|
<img class="workflow-screenshot" src="screenshots/advanced_executed.png"
|
|
alt="advanced" loading="lazy">
|
|
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="advanced">advanced</span>
|
|
<span class="workflow-badge pass">pass</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>89.10s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable " onclick="openLightboxByName('advanced_3d')">
|
|
|
|
<img class="workflow-screenshot" src="screenshots/advanced_3d_executed.png"
|
|
alt="advanced_3d" loading="lazy">
|
|
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="advanced_3d">advanced_3d</span>
|
|
<span class="workflow-badge pass">pass</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>25.38s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable " onclick="openLightboxByName('advanced_3d_multiview')">
|
|
|
|
<img class="workflow-screenshot" src="screenshots/advanced_3d_multiview_executed.png"
|
|
alt="advanced_3d_multiview" loading="lazy">
|
|
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="advanced_3d_multiview">advanced_3d_multiview</span>
|
|
<span class="workflow-badge pass">pass</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>61.50s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable " onclick="openLightboxByName('simple')">
|
|
|
|
<img class="workflow-screenshot" src="screenshots/simple_executed.png"
|
|
alt="simple" loading="lazy">
|
|
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="simple">simple</span>
|
|
<span class="workflow-badge pass">pass</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>51.55s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
</div>
|
|
|
|
|
|
|
|
|
|
<div class="models-section">
|
|
<div class="section-header">
|
|
<h2 class="section-title">Downloaded Models</h2>
|
|
<span class="models-total">4 files · 1.5 GB</span>
|
|
</div>
|
|
|
|
<details class="models-folder" open>
|
|
<summary class="models-folder-header">
|
|
<span class="models-folder-name">models/depthanything3/</span>
|
|
<span class="models-folder-meta">
|
|
|
|
<span class="models-folder-size">1.5 GB</span>
|
|
</span>
|
|
</summary>
|
|
<div class="models-file-list">
|
|
<div class="models-file"><span class="models-file-path">da3_large.safetensors</span><span class="models-file-size">1.5 GB</span></div>
|
|
<div class="models-file"><span class="models-file-path">.cache/huggingface/CACHEDIR.TAG</span><span class="models-file-size">191.0 B</span></div>
|
|
<div class="models-file"><span class="models-file-path">.cache/huggingface/download/model.safetensors.metadata</span><span class="models-file-size">124.0 B</span></div>
|
|
<div class="models-file"><span class="models-file-path">.cache/huggingface/.gitignore</span><span class="models-file-size">1.0 B</span></div>
|
|
</div>
|
|
</details>
|
|
|
|
</div>
|
|
|
|
</div>
|
|
|
|
<div class="lightbox" id="lightbox">
|
|
<button class="lightbox-close" onclick="closeLightbox()">×</button>
|
|
<button class="lightbox-nav lightbox-nav-left" onclick="navigateLightbox(-1)">‹</button>
|
|
<button class="lightbox-nav lightbox-nav-right" onclick="navigateLightbox(1)">›</button>
|
|
<div class="lightbox-content">
|
|
<img id="lightbox-img" src="" alt="">
|
|
<video id="lightbox-video" controls preload="metadata" style="display:none; max-width:90vw; max-height:80vh; background:#000;"></video>
|
|
<div class="video-player" id="video-player">
|
|
<div class="video-slider-container">
|
|
<div id="video-slider"></div>
|
|
</div>
|
|
<div class="video-controls">
|
|
<span class="video-frame-counter" id="video-frame-counter">0.0s / 0.0s</span>
|
|
</div>
|
|
</div>
|
|
<div class="resource-graph" id="resource-graph">
|
|
<div class="resource-graph-title">Resource Usage</div>
|
|
<canvas id="resource-canvas"></canvas>
|
|
<div class="resource-legend">
|
|
<span><span class="dot ram"></span> RAM (GB)</span>
|
|
<span id="gpu-legend" style="display:none"><span class="dot gpu"></span> VRAM (GB)</span>
|
|
</div>
|
|
</div>
|
|
<div class="lightbox-info">
|
|
<div>
|
|
<span class="lightbox-title" id="lightbox-title"></span>
|
|
<span class="lightbox-hardware" id="lightbox-hardware"></span>
|
|
</div>
|
|
<div class="lightbox-meta">
|
|
<span class="lightbox-badge" id="lightbox-badge"></span>
|
|
<span class="lightbox-duration" id="lightbox-duration"></span>
|
|
</div>
|
|
</div>
|
|
<pre class="lightbox-log" id="lightbox-log"></pre>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="img-overlay" id="img-overlay">
|
|
<img id="img-overlay-content" src="" alt="">
|
|
</div>
|
|
|
|
<footer>
|
|
Generated by <a href="https://github.com/PozzettiAndrea/comfy-test">comfy-test</a>
|
|
</footer>
|
|
|
|
<script>
|
|
function setView(mode) {
|
|
const grid = document.getElementById('workflow-grid');
|
|
grid.className = mode === 'list' ? 'workflow-grid view-list' : 'workflow-grid';
|
|
document.querySelectorAll('.view-controls .view-btn').forEach(btn => {
|
|
btn.classList.toggle('active', btn.textContent.trim().toLowerCase() === mode);
|
|
});
|
|
}
|
|
|
|
const workflowData = {"advanced": {"src": "screenshots/advanced_executed.png", "title": "advanced", "status": "pass", "duration": "89.10", "log": "Capturing execution frames: advanced.json\n [ComfyUI] [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.\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 11 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 0]}\n [ComfyUI] Node 6: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 1]}\n [ComfyUI] Node 7: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 2]}\n [ComfyUI] Node 8: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 3]}\n [ComfyUI] Node 9: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 6]}\n Queuing workflow for execution...\n [ComfyUI] Node 10: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 5]}\n [ComfyUI] Node 11: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"12\", 7]}\n [ComfyUI] Node 12: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 13: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 4]}\n [ComfyUI] Generated prompt_id: 27f2f7e6-23b8-4d7e-8cec-da49ced30abe\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] SubprocessWorker: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI'}\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock exists=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=1 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=6ms shot=96ms unfreeze=2ms saved=True\n [ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.4s)\n [capture-periodic] freeze=2ms shot=109ms unfreeze=2ms saved=True\n [ComfyUI] model.safetensors: 0%| | 0.00/1.64G [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 4%|\u258d | 67.1M/1.64G [00:01<00:41, 38.1MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=10 ram=3.8/7.0GB (60%) swap=0.0/0.0GB (0%) cpu=64% browser_rss=0.64GB\n Frame 4 saved (frame_003.jpg, t=6.6s)\n [capture-periodic] freeze=46ms shot=214ms unfreeze=10ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 29%|\u2588\u2588\u258a | 470M/1.64G [00:05<00:12, 94.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 5 saved (frame_004.jpg, t=11.3s)\n [capture-periodic] freeze=6ms shot=297ms unfreeze=33ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:09<00:20, 53.8MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=13.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=39 ram=3.7/7.0GB (62%) swap=0.0/0.0GB (0%) cpu=100% browser_rss=0.56GB\n Frame 6 saved (frame_005.jpg, t=13.8s)\n [capture-periodic] freeze=14ms shot=289ms unfreeze=4ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 41%|\u2588\u2588\u2588\u2588 | 671M/1.64G [00:11<00:18, 52.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 7 saved (frame_006.jpg, t=16.2s)\n [capture-periodic] freeze=2ms shot=119ms unfreeze=2ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.64G/1.64G [00:15<00:00, 137MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.64G/1.64G [00:15<00:00, 106MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (19.20s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [capture-loop] iter=150 t=19.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=3.7/7.0GB (60%) swap=0.0/0.0GB (0%) cpu=82% browser_rss=0.56GB\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=2 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n Frame 8 saved (frame_007.jpg, t=20.7s)\n [capture-periodic] freeze=7ms shot=138ms unfreeze=22ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n [capture-loop] iter=200 t=25.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=3.7/7.0GB (61%) swap=0.0/0.0GB (0%) cpu=63% browser_rss=0.56GB\n [capture-loop] iter=250 t=31.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=3.7/7.0GB (61%) swap=0.0/0.0GB (0%) cpu=47% browser_rss=0.48GB\n [capture-loop] iter=300 t=38.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=3.4/7.0GB (66%) swap=0.0/0.0GB (0%) cpu=60% browser_rss=0.49GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=2\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 2.31GB\n [ComfyUI] [comfy-env] VRAM after eviction: 2.30GB\n [capture-loop] iter=350 t=44.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=3.9/7.0GB (72%) swap=0.0/0.0GB (0%) cpu=74% browser_rss=0.31GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: WARNING: This model does not support sky segmentation. V2-Style normalization will work but without sky masking. Use Mono/Metric/Nested models for best V2-Style results.\n [capture-loop] iter=400 t=50.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=4.5/7.0GB (80%) swap=0.0/0.0GB (0%) cpu=73% browser_rss=0.32GB\n [capture-loop] iter=450 t=57.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=4.9/7.0GB (88%) swap=0.0/0.0GB (0%) cpu=66% browser_rss=0.25GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 1 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x0000000172ae3000 (most recent call first):\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 363 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 660 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x0000000170acb000 (most recent call first):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 995 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00000001fde52240 (most recent call first):\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy/ops.py\", line 357 in cast_bias_weight\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy/ops.py\", line 508 in forward_comfy_cast_weights\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy/ops.py\", line 516 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/container.py\", line 253 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1421 in _forward_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1366 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1591 in _process_depth_head\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 156 in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n [capture-loop] iter=500 t=67.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=3.0/7.0GB (70%) swap=0.2/1.0GB (24%) cpu=70% browser_rss=0.21GB\n [capture-loop] iter=550 t=74.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=128 ram=4.1/7.0GB (86%) swap=0.2/1.0GB (24%) cpu=73% browser_rss=0.22GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnything_V3 done (55.58s): result: NodeOutput\n Node executed (1 total), capturing...\n [ComfyUI] Prompt executed in 75.76 seconds\n Frame 9 saved (frame_008.jpg, t=76.0s)\n [capture-node] freeze=1787ms shot=981ms unfreeze=13ms saved=True\n Node executed (8 total), capturing...\n [capture-node] freeze=7ms shot=328ms unfreeze=0ms saved=False\n Execution complete (t=79.1s)\n Captured 9 unique frames over 79.46s\n [debug] iframes: 0\n [timing] trigger_3d_previews: 0.0s\n Saved high-quality screenshot: advanced_executed.png\n [timing] final_screenshot: 0.2s\n Captured 10 video frames", "hardware": {"os": "macOS-15.7.4-arm64-arm-64bit-Mach-O", "cpu": "arm"}}, "advanced_3d": {"src": "screenshots/advanced_3d_executed.png", "title": "advanced_3d", "status": "pass", "duration": "25.38", "log": "Capturing execution frames: advanced_3d.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"kaffi.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 22: DA3_ToPointCloud\n [ComfyUI] Inputs: {\"confidence_threshold\": 0.2, \"downsample\": 1, \"allow_around_1\": 1, \"filter_outliers\": false, \"outlier_percentage\": 5, \"depth_raw\": [\"21\", 0], \"confidence\": [\"21\", 1], \"intrinsics\": [\"21\", 6], \"sky_ma\n [ComfyUI] Node 23: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"22\", 0]}\n [ComfyUI] Node 25: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"23\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: edacd311-431c-40c6-97f4-ad30a10e6b10\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n Queuing workflow for execution...\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=3 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.12s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,533,800,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 533, 800, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=4 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 533, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 533, 800, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=4\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.29GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.29GB\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=4ms shot=116ms unfreeze=2ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=5ms shot=129ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=4.5/7.0GB (71%) swap=0.5/1.0GB (47%) cpu=66% browser_rss=0.56GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=4\n Frame 4 saved (frame_003.jpg, t=6.8s)\n [capture-periodic] freeze=7ms shot=775ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnything_V3 done (6.60s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_ToPointCloud: confidence_threshold: 0.2, downsample: 1, allow_around_1: True, filter_outliers: False, outlier_percentage: 5.0, depth_raw: torch.float32 [1,532,800,3] cpu, confidence: torch.float32 [1,532,800,3] cpu, intrinsics: '{\\n \"intrinsics\": [\\n {\\n \"image_0\": [\\n ..., sky_mask: torch.float32 [1,532,800] cpu, source_image: torch.float32 [1,532,800,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_3d.DA3_ToPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'depth_raw' shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'confidence' shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'sky_mask' shape: torch.Size([1, 532, 800])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'source_image' shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=5 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 532, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 532, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 532, 800]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 532, 800])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 532, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_ToPointCloud done (0.19s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_3d.DA3_SavePointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=6 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311035, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311035, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311035]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311035])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311035, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311035, 3])\n Frame 5 saved (frame_004.jpg, t=9.7s)\n [capture-periodic] freeze=4ms shot=127ms unfreeze=3ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (3.09s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_worksp..., color_mode: 'RGB'\n [ComfyUI] [SubprocessWorker] call_method: nodes.preview_nodes.DA3_PreviewPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=7 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.01s): result: NodeOutput\n [ComfyUI] Prompt executed in 10.72 seconds\n Node executed (2 total), capturing...\n Frame 6 saved (frame_005.jpg, t=11.3s)\n [capture-node] freeze=6ms shot=270ms unfreeze=0ms saved=True\n Execution complete (t=11.3s)\n Captured 6 unique frames over 11.63s\n [debug] iframes: 1\n [debug] iframe[0]: src=http://127.0.0.1:41886/extensions/ComfyUI-DepthAnythingV3/viewer_vtk.html?v=1778, canvas=486x430, rafFrozen=True\n [timing] trigger_3d_previews: 0.0s\n Saved high-quality screenshot: advanced_3d_executed.png\n [timing] final_screenshot: 4.1s\n Captured 7 video frames", "hardware": {"os": "macOS-15.7.4-arm64-arm-64bit-Mach-O", "cpu": "arm"}}, "advanced_3d_multiview": {"src": "screenshots/advanced_3d_multiview_executed.png", "title": "advanced_3d_multiview", "status": "pass", "duration": "61.50", "log": "Capturing execution frames: advanced_3d_multiview.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 8 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: LoadImageDataSetFromFolder\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"folder\": \"SOH\"}\n [ComfyUI] Node 27: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"21\", 0]}\n [ComfyUI] Node 38: DA3_MultiViewPointCloud\n [ComfyUI] Inputs: {\"extrinsics\": [\"39\", 4], \"intrinsics\": [\"39\", 5], \"confidence_threshold\": 0.3, \"downsample\": 4, \"use_icp\": false, \"allow_around_1\": false, \"filter_outliers\": true, \"outlier_percentage\": 5, \"depths\":\n [ComfyUI] Node 39: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"21\", 0]}\n [ComfyUI] Node 44: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"38\", 0]}\n [ComfyUI] Node 45: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"44\", 0]}\n [ComfyUI] Node 48: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"44\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: cf425e45-00d0-444c-abf5-0a1024f11fcf\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=8 sending call_method\n Node executed (1 total), capturing...\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.26s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=9 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=9\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.92GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.92GB\n Frame 2 saved (frame_001.jpg, t=0.7s)\n [capture-node] freeze=6ms shot=2255ms unfreeze=82ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 2 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x0000000172ae3000 (most recent call first):\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 363 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 660 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x0000000170acb000 (most recent call first):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 995 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00000001fde52240 (most recent call first):\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 338 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 445 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 516 in attn_residual_func\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 521 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 791 in process_attention\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 750 in _get_intermediate_layers_not_chunked\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 800 in get_intermediate_layers\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 891 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1560 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128 in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=5.3s)\n [capture-periodic] freeze=3ms shot=208ms unfreeze=3ms saved=True\n [capture-loop] iter=50 t=9.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=4.6/7.0GB (73%) swap=0.4/1.0GB (40%) cpu=80% browser_rss=0.67GB\n Frame 4 saved (frame_003.jpg, t=9.9s)\n [capture-periodic] freeze=4ms shot=6643ms unfreeze=342ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (24.67s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=10 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=10\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.94GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.94GB\n Frame 5 saved (frame_004.jpg, t=26.1s)\n [capture-periodic] freeze=3ms shot=269ms unfreeze=5ms saved=True\n [capture-loop] iter=100 t=27.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=3.8/7.0GB (60%) swap=1.2/2.0GB (59%) cpu=70% browser_rss=0.28GB\n Frame 6 saved (frame_005.jpg, t=28.5s)\n [capture-periodic] freeze=2ms shot=164ms unfreeze=4ms saved=True\n Frame 7 saved (frame_006.jpg, t=30.8s)\n [capture-periodic] freeze=5ms shot=270ms unfreeze=8ms saved=True\n Frame 8 saved (frame_007.jpg, t=33.1s)\n [capture-periodic] freeze=880ms shot=15064ms unfreeze=42ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (23.92s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_MultiViewPointCloud: extrinsics: '{\\n \"extrinsics\": [\\n {\\n \"image_0\": [\\n ..., intrinsics: '{\\n \"intrinsics\": [\\n {\\n \"image_0\": [\\n ..., confidence_threshold: 0.3, downsample: 4, use_icp: False, allow_around_1: False, filter_outliers: True, outlier_percentage: 5.0, depths: torch.float32 [1,680,1208,3] cpu, images: torch.float32 [1,680,1208,3] cpu, confidence: torch.float32 [1,680,1208,3] cpu, sky_mask: torch.float32 [1,680,1208] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DA3_MultiViewPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'depths' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'confidence' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'sky_mask' shape: torch.Size([1, 680, 1208])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=11 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208])\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=11\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_MultiViewPointCloud done (0.47s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_MultiViewPointCloud: extrinsics: '{\\n \"extrinsics\": [\\n {\\n \"image_0\": [\\n ..., intrinsics: '{\\n \"intrinsics\": [\\n {\\n \"image_0\": [\\n ..., confidence_threshold: 0.3, downsample: 4, use_icp: False, allow_around_1: False, filter_outliers: True, outlier_percentage: 5.0, depths: torch.float32 [1,680,1208,3] cpu, images: torch.float32 [1,680,1208,3] cpu, confidence: torch.float32 [1,680,1208,3] cpu, sky_mask: torch.float32 [1,680,1208] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DA3_MultiViewPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'depths' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'confidence' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'sky_mask' shape: torch.Size([1, 680, 1208])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=12 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Depth input may be normalized (max=1.0302) instead of raw/metric depth. Multi-view point cloud fusion expects raw metric depth values. If your output looks wrong, use DepthAnythingV3_MultiView with normalization_mode='Raw' or set allow_around_1=True to suppress this warning.\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=12\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_MultiViewPointCloud done (0.12s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_3d.DA3_SavePointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=13 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18844, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18844, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18844, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18844, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18844]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18844])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18844]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18844])\n [capture-loop] iter=150 t=50.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=5.2/7.0GB (81%) swap=2.0/3.0GB (65%) cpu=59% browser_rss=0.22GB\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (0.37s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_3d.DA3_SavePointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=14 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[48773, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([48773, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[48773, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([48773, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[48773]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([48773])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[48773]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([48773])\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (0.39s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_worksp..., color_mode: 'RGB'\n [ComfyUI] [SubprocessWorker] call_method: nodes.preview_nodes.DA3_PreviewPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=15 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.01s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_worksp..., color_mode: 'RGB'\n [ComfyUI] [SubprocessWorker] call_method: nodes.preview_nodes.DA3_PreviewPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=16 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.01s): result: NodeOutput\n [ComfyUI] Prompt executed in 50.58 seconds\n Node executed (3 total), capturing...\n Frame 9 saved (frame_008.jpg, t=51.1s)\n [capture-node] freeze=3ms shot=198ms unfreeze=12ms saved=True\n Node executed (4 total), capturing...\n [capture-node] freeze=3ms shot=92ms unfreeze=0ms saved=False\n Execution complete (t=51.6s)\n Captured 9 unique frames over 51.74s\n [debug] iframes: 1\n [debug] iframe[0]: src=http://127.0.0.1:41886/extensions/ComfyUI-GeometryPack/viewer_vtk.html?v=1778960, canvas=486x430, rafFrozen=True\n [timing] trigger_3d_previews: 0.0s\n Saved high-quality screenshot: advanced_3d_multiview_executed.png\n [timing] final_screenshot: 0.2s\n Captured 10 video frames", "hardware": {"os": "macOS-15.7.4-arm64-arm-64bit-Mach-O", "cpu": "arm"}}, "simple": {"src": "screenshots/simple_executed.png", "title": "simple", "status": "pass", "duration": "51.55", "log": "Capturing execution frames: simple.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n Queuing workflow for execution...\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=3ms shot=155ms unfreeze=10ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=4ms shot=143ms unfreeze=6ms saved=True\n [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=2.3/7.0GB (49%) swap=1.7/3.0GB (58%) cpu=57% browser_rss=0.53GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=17 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=17 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=17 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.19s): result: NodeOutput\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.19s): result: NodeOutput\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.19s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: True, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: True, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: True, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=18 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=18 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=18 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n Frame 4 saved (frame_003.jpg, t=8.9s)\n [capture-periodic] freeze=5ms shot=132ms unfreeze=10ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n [capture-loop] iter=100 t=12.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=2.3/7.0GB (36%) swap=0.6/2.0GB (32%) cpu=60% browser_rss=0.53GB\n [capture-loop] iter=150 t=18.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=3.2/7.0GB (49%) swap=0.6/2.0GB (32%) cpu=34% browser_rss=0.53GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=18\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 3.37GB\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 3.37GB\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 3.37GB\n [ComfyUI] [comfy-env] VRAM after eviction: 3.37GB\n [ComfyUI] [comfy-env] VRAM after eviction: 3.37GB\n [ComfyUI] [comfy-env] VRAM after eviction: 3.37GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: WARNING: This model does not support sky segmentation. V2-Style normalization will work but without sky masking. Use Mono/Metric/Nested models for best V2-Style results.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: WARNING: This model does not support sky segmentation. V2-Style normalization will work but without sky masking. Use Mono/Metric/Nested models for best V2-Style results.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: WARNING: This model does not support sky segmentation. V2-Style normalization will work but without sky masking. Use Mono/Metric/Nested models for best V2-Style results.\n [capture-loop] iter=200 t=24.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=4.4/7.0GB (72%) swap=0.5/2.0GB (23%) cpu=59% browser_rss=0.42GB\n [capture-loop] iter=250 t=30.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=4.7/7.0GB (77%) swap=0.4/2.0GB (21%) cpu=73% browser_rss=0.35GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnything_V3 done (28.06s): result: NodeOutput\n [ComfyUI] [comfy-env] DepthAnything_V3 done (28.06s): result: NodeOutput\n [ComfyUI] [comfy-env] DepthAnything_V3 done (28.06s): result: NodeOutput\n [ComfyUI] Prompt executed in 36.54 seconds\n [ComfyUI] Prompt executed in 36.54 seconds\n [ComfyUI] Prompt executed in 36.54 seconds\n Node executed (1 total), capturing...\n Frame 5 saved (frame_004.jpg, t=37.0s)\n [capture-node] freeze=267ms shot=989ms unfreeze=0ms saved=True\n Execution complete (t=37.0s)\n Captured 5 unique frames over 38.29s\n [debug] iframes: 0\n [timing] trigger_3d_previews: 0.0s\n Saved high-quality screenshot: simple_executed.png\n [timing] final_screenshot: 0.5s\n Captured 6 video frames", "hardware": {"os": "macOS-15.7.4-arm64-arm-64bit-Mach-O", "cpu": "arm"}}};
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const workflowNames = Object.keys(workflowData);
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const videoData = {"advanced_3d_multiview": {"frames": [{"file": "frame_000.jpg", "time": 0.0, "log": "Capturing execution frames: advanced_3d_multiview.json"}, {"file": "frame_001.jpg", "time": 0.74, "log": "Capturing execution frames: advanced_3d_multiview.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 8 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: LoadImageDataSetFromFolder\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"folder\": \"SOH\"}\n [ComfyUI] Node 27: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"21\", 0]}\n [ComfyUI] Node 38: DA3_MultiViewPointCloud\n [ComfyUI] Inputs: {\"extrinsics\": [\"39\", 4], \"intrinsics\": [\"39\", 5], \"confidence_threshold\": 0.3, \"downsample\": 4, \"use_icp\": false, \"allow_around_1\": false, \"filter_outliers\": true, \"outlier_percentage\": 5, \"depths\":\n [ComfyUI] Node 39: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"21\", 0]}\n [ComfyUI] Node 44: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"38\", 0]}\n [ComfyUI] Node 45: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"44\", 0]}\n [ComfyUI] Node 48: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"44\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: cf425e45-00d0-444c-abf5-0a1024f11fcf\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=8 sending call_method"}, {"file": "frame_002.jpg", "time": 5.32, "log": "Capturing execution frames: advanced_3d_multiview.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 8 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: LoadImageDataSetFromFolder\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"folder\": \"SOH\"}\n [ComfyUI] Node 27: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"21\", 0]}\n [ComfyUI] Node 38: DA3_MultiViewPointCloud\n [ComfyUI] Inputs: {\"extrinsics\": [\"39\", 4], \"intrinsics\": [\"39\", 5], \"confidence_threshold\": 0.3, \"downsample\": 4, \"use_icp\": false, \"allow_around_1\": false, \"filter_outliers\": true, \"outlier_percentage\": 5, \"depths\":\n [ComfyUI] Node 39: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"21\", 0]}\n [ComfyUI] Node 44: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"38\", 0]}\n [ComfyUI] Node 45: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"44\", 0]}\n [ComfyUI] Node 48: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"44\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: cf425e45-00d0-444c-abf5-0a1024f11fcf\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=8 sending call_method\n Node executed (1 total), capturing...\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.26s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=9 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=9\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.92GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.92GB\n Frame 2 saved (frame_001.jpg, t=0.7s)\n [capture-node] freeze=6ms shot=2255ms unfreeze=82ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 2 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x0000000172ae3000 (most recent call first):\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 363 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 660 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x0000000170acb000 (most recent call first):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 995 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00000001fde52240 (most recent call first):\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 338 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 445 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 516 in attn_residual_func\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 521 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 791 in process_attention\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 750 in _get_intermediate_layers_not_chunked\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 800 in get_intermediate_layers\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 891 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1560 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128 in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] "}, {"file": "frame_003.jpg", "time": 9.88, "log": "Capturing execution frames: advanced_3d_multiview.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 8 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: LoadImageDataSetFromFolder\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"folder\": \"SOH\"}\n [ComfyUI] Node 27: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"21\", 0]}\n [ComfyUI] Node 38: DA3_MultiViewPointCloud\n [ComfyUI] Inputs: {\"extrinsics\": [\"39\", 4], \"intrinsics\": [\"39\", 5], \"confidence_threshold\": 0.3, \"downsample\": 4, \"use_icp\": false, \"allow_around_1\": false, \"filter_outliers\": true, \"outlier_percentage\": 5, \"depths\":\n [ComfyUI] Node 39: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"21\", 0]}\n [ComfyUI] Node 44: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"38\", 0]}\n [ComfyUI] Node 45: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"44\", 0]}\n [ComfyUI] Node 48: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"44\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: cf425e45-00d0-444c-abf5-0a1024f11fcf\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=8 sending call_method\n Node executed (1 total), capturing...\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.26s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=9 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=9\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.92GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.92GB\n Frame 2 saved (frame_001.jpg, t=0.7s)\n [capture-node] freeze=6ms shot=2255ms unfreeze=82ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 2 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x0000000172ae3000 (most recent call first):\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 363 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 660 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x0000000170acb000 (most recent call first):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 995 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00000001fde52240 (most recent call first):\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 338 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 445 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 516 in attn_residual_func\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 521 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 791 in process_attention\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 750 in _get_intermediate_layers_not_chunked\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 800 in get_intermediate_layers\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 891 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1560 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128 in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=5.3s)\n [capture-periodic] freeze=3ms shot=208ms unfreeze=3ms saved=True\n [capture-loop] iter=50 t=9.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=4.6/7.0GB (73%) swap=0.4/1.0GB (40%) cpu=80% browser_rss=0.67GB"}, {"file": "frame_004.jpg", "time": 26.1, "log": "Capturing execution frames: advanced_3d_multiview.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 8 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: LoadImageDataSetFromFolder\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"folder\": \"SOH\"}\n [ComfyUI] Node 27: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"21\", 0]}\n [ComfyUI] Node 38: DA3_MultiViewPointCloud\n [ComfyUI] Inputs: {\"extrinsics\": [\"39\", 4], \"intrinsics\": [\"39\", 5], \"confidence_threshold\": 0.3, \"downsample\": 4, \"use_icp\": false, \"allow_around_1\": false, \"filter_outliers\": true, \"outlier_percentage\": 5, \"depths\":\n [ComfyUI] Node 39: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"21\", 0]}\n [ComfyUI] Node 44: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"38\", 0]}\n [ComfyUI] Node 45: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"44\", 0]}\n [ComfyUI] Node 48: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"44\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: cf425e45-00d0-444c-abf5-0a1024f11fcf\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=8 sending call_method\n Node executed (1 total), capturing...\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.26s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=9 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=9\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.92GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.92GB\n Frame 2 saved (frame_001.jpg, t=0.7s)\n [capture-node] freeze=6ms shot=2255ms unfreeze=82ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 2 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x0000000172ae3000 (most recent call first):\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 363 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 660 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x0000000170acb000 (most recent call first):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 995 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00000001fde52240 (most recent call first):\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 338 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 445 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 516 in attn_residual_func\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 521 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 791 in process_attention\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 750 in _get_intermediate_layers_not_chunked\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 800 in get_intermediate_layers\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 891 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1560 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128 in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=5.3s)\n [capture-periodic] freeze=3ms shot=208ms unfreeze=3ms saved=True\n [capture-loop] iter=50 t=9.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=4.6/7.0GB (73%) swap=0.4/1.0GB (40%) cpu=80% browser_rss=0.67GB\n Frame 4 saved (frame_003.jpg, t=9.9s)\n [capture-periodic] freeze=4ms shot=6643ms unfreeze=342ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (24.67s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=10 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=10\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.94GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.94GB"}, {"file": "frame_005.jpg", "time": 28.51, "log": "Capturing execution frames: advanced_3d_multiview.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 8 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: LoadImageDataSetFromFolder\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"folder\": \"SOH\"}\n [ComfyUI] Node 27: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"21\", 0]}\n [ComfyUI] Node 38: DA3_MultiViewPointCloud\n [ComfyUI] Inputs: {\"extrinsics\": [\"39\", 4], \"intrinsics\": [\"39\", 5], \"confidence_threshold\": 0.3, \"downsample\": 4, \"use_icp\": false, \"allow_around_1\": false, \"filter_outliers\": true, \"outlier_percentage\": 5, \"depths\":\n [ComfyUI] Node 39: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"21\", 0]}\n [ComfyUI] Node 44: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"38\", 0]}\n [ComfyUI] Node 45: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"44\", 0]}\n [ComfyUI] Node 48: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"44\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: cf425e45-00d0-444c-abf5-0a1024f11fcf\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=8 sending call_method\n Node executed (1 total), capturing...\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.26s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=9 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=9\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.92GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.92GB\n Frame 2 saved (frame_001.jpg, t=0.7s)\n [capture-node] freeze=6ms shot=2255ms unfreeze=82ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 2 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x0000000172ae3000 (most recent call first):\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 363 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 660 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x0000000170acb000 (most recent call first):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 995 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00000001fde52240 (most recent call first):\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 338 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 445 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 516 in attn_residual_func\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 521 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 791 in process_attention\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 750 in _get_intermediate_layers_not_chunked\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 800 in get_intermediate_layers\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 891 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1560 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128 in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=5.3s)\n [capture-periodic] freeze=3ms shot=208ms unfreeze=3ms saved=True\n [capture-loop] iter=50 t=9.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=4.6/7.0GB (73%) swap=0.4/1.0GB (40%) cpu=80% browser_rss=0.67GB\n Frame 4 saved (frame_003.jpg, t=9.9s)\n [capture-periodic] freeze=4ms shot=6643ms unfreeze=342ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (24.67s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=10 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=10\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.94GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.94GB\n Frame 5 saved (frame_004.jpg, t=26.1s)\n [capture-periodic] freeze=3ms shot=269ms unfreeze=5ms saved=True\n [capture-loop] iter=100 t=27.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=3.8/7.0GB (60%) swap=1.2/2.0GB (59%) cpu=70% browser_rss=0.28GB"}, {"file": "frame_006.jpg", "time": 30.8, "log": "Capturing execution frames: advanced_3d_multiview.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 8 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: LoadImageDataSetFromFolder\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"folder\": \"SOH\"}\n [ComfyUI] Node 27: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"21\", 0]}\n [ComfyUI] Node 38: DA3_MultiViewPointCloud\n [ComfyUI] Inputs: {\"extrinsics\": [\"39\", 4], \"intrinsics\": [\"39\", 5], \"confidence_threshold\": 0.3, \"downsample\": 4, \"use_icp\": false, \"allow_around_1\": false, \"filter_outliers\": true, \"outlier_percentage\": 5, \"depths\":\n [ComfyUI] Node 39: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"21\", 0]}\n [ComfyUI] Node 44: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"38\", 0]}\n [ComfyUI] Node 45: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"44\", 0]}\n [ComfyUI] Node 48: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"44\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: cf425e45-00d0-444c-abf5-0a1024f11fcf\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=8 sending call_method\n Node executed (1 total), capturing...\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.26s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=9 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=9\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.92GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.92GB\n Frame 2 saved (frame_001.jpg, t=0.7s)\n [capture-node] freeze=6ms shot=2255ms unfreeze=82ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 2 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x0000000172ae3000 (most recent call first):\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 363 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 660 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x0000000170acb000 (most recent call first):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 995 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00000001fde52240 (most recent call first):\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 338 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 445 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 516 in attn_residual_func\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 521 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 791 in process_attention\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 750 in _get_intermediate_layers_not_chunked\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 800 in get_intermediate_layers\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 891 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1560 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128 in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=5.3s)\n [capture-periodic] freeze=3ms shot=208ms unfreeze=3ms saved=True\n [capture-loop] iter=50 t=9.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=4.6/7.0GB (73%) swap=0.4/1.0GB (40%) cpu=80% browser_rss=0.67GB\n Frame 4 saved (frame_003.jpg, t=9.9s)\n [capture-periodic] freeze=4ms shot=6643ms unfreeze=342ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (24.67s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=10 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=10\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.94GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.94GB\n Frame 5 saved (frame_004.jpg, t=26.1s)\n [capture-periodic] freeze=3ms shot=269ms unfreeze=5ms saved=True\n [capture-loop] iter=100 t=27.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=3.8/7.0GB (60%) swap=1.2/2.0GB (59%) cpu=70% browser_rss=0.28GB\n Frame 6 saved (frame_005.jpg, t=28.5s)\n [capture-periodic] freeze=2ms shot=164ms unfreeze=4ms saved=True"}, {"file": "frame_007.jpg", "time": 33.14, "log": "Capturing execution frames: advanced_3d_multiview.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 8 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: LoadImageDataSetFromFolder\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"folder\": \"SOH\"}\n [ComfyUI] Node 27: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"21\", 0]}\n [ComfyUI] Node 38: DA3_MultiViewPointCloud\n [ComfyUI] Inputs: {\"extrinsics\": [\"39\", 4], \"intrinsics\": [\"39\", 5], \"confidence_threshold\": 0.3, \"downsample\": 4, \"use_icp\": false, \"allow_around_1\": false, \"filter_outliers\": true, \"outlier_percentage\": 5, \"depths\":\n [ComfyUI] Node 39: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"21\", 0]}\n [ComfyUI] Node 44: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"38\", 0]}\n [ComfyUI] Node 45: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"44\", 0]}\n [ComfyUI] Node 48: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"44\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: cf425e45-00d0-444c-abf5-0a1024f11fcf\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=8 sending call_method\n Node executed (1 total), capturing...\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.26s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=9 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=9\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.92GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.92GB\n Frame 2 saved (frame_001.jpg, t=0.7s)\n [capture-node] freeze=6ms shot=2255ms unfreeze=82ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 2 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x0000000172ae3000 (most recent call first):\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 363 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 660 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x0000000170acb000 (most recent call first):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 995 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00000001fde52240 (most recent call first):\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 338 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 445 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 516 in attn_residual_func\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 521 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 791 in process_attention\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 750 in _get_intermediate_layers_not_chunked\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 800 in get_intermediate_layers\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 891 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1560 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128 in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=5.3s)\n [capture-periodic] freeze=3ms shot=208ms unfreeze=3ms saved=True\n [capture-loop] iter=50 t=9.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=4.6/7.0GB (73%) swap=0.4/1.0GB (40%) cpu=80% browser_rss=0.67GB\n Frame 4 saved (frame_003.jpg, t=9.9s)\n [capture-periodic] freeze=4ms shot=6643ms unfreeze=342ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (24.67s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=10 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=10\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.94GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.94GB\n Frame 5 saved (frame_004.jpg, t=26.1s)\n [capture-periodic] freeze=3ms shot=269ms unfreeze=5ms saved=True\n [capture-loop] iter=100 t=27.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=3.8/7.0GB (60%) swap=1.2/2.0GB (59%) cpu=70% browser_rss=0.28GB\n Frame 6 saved (frame_005.jpg, t=28.5s)\n [capture-periodic] freeze=2ms shot=164ms unfreeze=4ms saved=True\n Frame 7 saved (frame_006.jpg, t=30.8s)\n [capture-periodic] freeze=5ms shot=270ms unfreeze=8ms saved=True"}, {"file": "frame_008.jpg", "time": 51.13, "log": "Capturing execution frames: advanced_3d_multiview.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 8 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: LoadImageDataSetFromFolder\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"folder\": \"SOH\"}\n [ComfyUI] Node 27: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"21\", 0]}\n [ComfyUI] Node 38: DA3_MultiViewPointCloud\n [ComfyUI] Inputs: {\"extrinsics\": [\"39\", 4], \"intrinsics\": [\"39\", 5], \"confidence_threshold\": 0.3, \"downsample\": 4, \"use_icp\": false, \"allow_around_1\": false, \"filter_outliers\": true, \"outlier_percentage\": 5, \"depths\":\n [ComfyUI] Node 39: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"21\", 0]}\n [ComfyUI] Node 44: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"38\", 0]}\n [ComfyUI] Node 45: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"44\", 0]}\n [ComfyUI] Node 48: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"44\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: cf425e45-00d0-444c-abf5-0a1024f11fcf\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=8 sending call_method\n Node executed (1 total), capturing...\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.26s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=9 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=9\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.92GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.92GB\n Frame 2 saved (frame_001.jpg, t=0.7s)\n [capture-node] freeze=6ms shot=2255ms unfreeze=82ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 2 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x0000000172ae3000 (most recent call first):\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 363 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 660 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x0000000170acb000 (most recent call first):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 995 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00000001fde52240 (most recent call first):\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 338 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 445 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 516 in attn_residual_func\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 521 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 791 in process_attention\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 750 in _get_intermediate_layers_not_chunked\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 800 in get_intermediate_layers\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 891 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1560 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128 in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=5.3s)\n [capture-periodic] freeze=3ms shot=208ms unfreeze=3ms saved=True\n [capture-loop] iter=50 t=9.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=4.6/7.0GB (73%) swap=0.4/1.0GB (40%) cpu=80% browser_rss=0.67GB\n Frame 4 saved (frame_003.jpg, t=9.9s)\n [capture-periodic] freeze=4ms shot=6643ms unfreeze=342ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (24.67s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,680,1208,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DepthAnythingV3_MultiView.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=10 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=10\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.94GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.94GB\n Frame 5 saved (frame_004.jpg, t=26.1s)\n [capture-periodic] freeze=3ms shot=269ms unfreeze=5ms saved=True\n [capture-loop] iter=100 t=27.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=3.8/7.0GB (60%) swap=1.2/2.0GB (59%) cpu=70% browser_rss=0.28GB\n Frame 6 saved (frame_005.jpg, t=28.5s)\n [capture-periodic] freeze=2ms shot=164ms unfreeze=4ms saved=True\n Frame 7 saved (frame_006.jpg, t=30.8s)\n [capture-periodic] freeze=5ms shot=270ms unfreeze=8ms saved=True\n Frame 8 saved (frame_007.jpg, t=33.1s)\n [capture-periodic] freeze=880ms shot=15064ms unfreeze=42ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (23.92s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_MultiViewPointCloud: extrinsics: '{\\n \"extrinsics\": [\\n {\\n \"image_0\": [\\n ..., intrinsics: '{\\n \"intrinsics\": [\\n {\\n \"image_0\": [\\n ..., confidence_threshold: 0.3, downsample: 4, use_icp: False, allow_around_1: False, filter_outliers: True, outlier_percentage: 5.0, depths: torch.float32 [1,680,1208,3] cpu, images: torch.float32 [1,680,1208,3] cpu, confidence: torch.float32 [1,680,1208,3] cpu, sky_mask: torch.float32 [1,680,1208] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DA3_MultiViewPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'depths' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'confidence' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'sky_mask' shape: torch.Size([1, 680, 1208])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=11 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208])\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=11\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_MultiViewPointCloud done (0.47s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_MultiViewPointCloud: extrinsics: '{\\n \"extrinsics\": [\\n {\\n \"image_0\": [\\n ..., intrinsics: '{\\n \"intrinsics\": [\\n {\\n \"image_0\": [\\n ..., confidence_threshold: 0.3, downsample: 4, use_icp: False, allow_around_1: False, filter_outliers: True, outlier_percentage: 5.0, depths: torch.float32 [1,680,1208,3] cpu, images: torch.float32 [1,680,1208,3] cpu, confidence: torch.float32 [1,680,1208,3] cpu, sky_mask: torch.float32 [1,680,1208] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_multiview.DA3_MultiViewPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'depths' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'confidence' shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'sky_mask' shape: torch.Size([1, 680, 1208])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=12 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 680, 1208]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 680, 1208])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Depth input may be normalized (max=1.0302) instead of raw/metric depth. Multi-view point cloud fusion expects raw metric depth values. If your output looks wrong, use DepthAnythingV3_MultiView with normalization_mode='Raw' or set allow_around_1=True to suppress this warning.\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=12\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_MultiViewPointCloud done (0.12s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_3d.DA3_SavePointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=13 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18844, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18844, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18844, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18844, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18844]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18844])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18844]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18844])\n [capture-loop] iter=150 t=50.3s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=5.2/7.0GB (81%) swap=2.0/3.0GB (65%) cpu=59% browser_rss=0.22GB\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (0.37s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_3d.DA3_SavePointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=14 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[48773, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([48773, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[48773, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([48773, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[48773]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([48773])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[48773]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([48773])\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (0.39s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_worksp..., color_mode: 'RGB'\n [ComfyUI] [SubprocessWorker] call_method: nodes.preview_nodes.DA3_PreviewPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=15 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.01s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_worksp..., color_mode: 'RGB'\n [ComfyUI] [SubprocessWorker] call_method: nodes.preview_nodes.DA3_PreviewPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=16 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.01s): result: NodeOutput\n [ComfyUI] Prompt executed in 50.58 seconds"}, {"file": "frame_009.jpg", "time": 53.99065709114075, "log": "Final screenshot"}], "total_time": 51.74}, "advanced_3d": {"frames": [{"file": "frame_000.jpg", "time": 0.0, "log": "Capturing execution frames: advanced_3d.json"}, {"file": "frame_001.jpg", "time": 2.34, "log": "Capturing execution frames: advanced_3d.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"kaffi.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 22: DA3_ToPointCloud\n [ComfyUI] Inputs: {\"confidence_threshold\": 0.2, \"downsample\": 1, \"allow_around_1\": 1, \"filter_outliers\": false, \"outlier_percentage\": 5, \"depth_raw\": [\"21\", 0], \"confidence\": [\"21\", 1], \"intrinsics\": [\"21\", 6], \"sky_ma\n [ComfyUI] Node 23: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"22\", 0]}\n [ComfyUI] Node 25: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"23\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: edacd311-431c-40c6-97f4-ad30a10e6b10\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n Queuing workflow for execution...\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=3 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.12s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,533,800,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 533, 800, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=4 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 533, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 533, 800, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=4\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.29GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.29GB"}, {"file": "frame_002.jpg", "time": 4.49, "log": "Capturing execution frames: advanced_3d.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"kaffi.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 22: DA3_ToPointCloud\n [ComfyUI] Inputs: {\"confidence_threshold\": 0.2, \"downsample\": 1, \"allow_around_1\": 1, \"filter_outliers\": false, \"outlier_percentage\": 5, \"depth_raw\": [\"21\", 0], \"confidence\": [\"21\", 1], \"intrinsics\": [\"21\", 6], \"sky_ma\n [ComfyUI] Node 23: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"22\", 0]}\n [ComfyUI] Node 25: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"23\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: edacd311-431c-40c6-97f4-ad30a10e6b10\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n Queuing workflow for execution...\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=3 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.12s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,533,800,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 533, 800, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=4 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 533, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 533, 800, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=4\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.29GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.29GB\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=4ms shot=116ms unfreeze=2ms saved=True"}, {"file": "frame_003.jpg", "time": 6.76, "log": "Capturing execution frames: advanced_3d.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"kaffi.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 22: DA3_ToPointCloud\n [ComfyUI] Inputs: {\"confidence_threshold\": 0.2, \"downsample\": 1, \"allow_around_1\": 1, \"filter_outliers\": false, \"outlier_percentage\": 5, \"depth_raw\": [\"21\", 0], \"confidence\": [\"21\", 1], \"intrinsics\": [\"21\", 6], \"sky_ma\n [ComfyUI] Node 23: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"22\", 0]}\n [ComfyUI] Node 25: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"23\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: edacd311-431c-40c6-97f4-ad30a10e6b10\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n Queuing workflow for execution...\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=3 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.12s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,533,800,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 533, 800, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=4 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 533, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 533, 800, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=4\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.29GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.29GB\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=4ms shot=116ms unfreeze=2ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=5ms shot=129ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=4.5/7.0GB (71%) swap=0.5/1.0GB (47%) cpu=66% browser_rss=0.56GB"}, {"file": "frame_004.jpg", "time": 9.7, "log": "Capturing execution frames: advanced_3d.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"kaffi.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 22: DA3_ToPointCloud\n [ComfyUI] Inputs: {\"confidence_threshold\": 0.2, \"downsample\": 1, \"allow_around_1\": 1, \"filter_outliers\": false, \"outlier_percentage\": 5, \"depth_raw\": [\"21\", 0], \"confidence\": [\"21\", 1], \"intrinsics\": [\"21\", 6], \"sky_ma\n [ComfyUI] Node 23: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"22\", 0]}\n [ComfyUI] Node 25: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"23\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: edacd311-431c-40c6-97f4-ad30a10e6b10\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n Queuing workflow for execution...\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=3 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.12s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,533,800,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 533, 800, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=4 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 533, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 533, 800, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=4\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.29GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.29GB\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=4ms shot=116ms unfreeze=2ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=5ms shot=129ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=4.5/7.0GB (71%) swap=0.5/1.0GB (47%) cpu=66% browser_rss=0.56GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=4\n Frame 4 saved (frame_003.jpg, t=6.8s)\n [capture-periodic] freeze=7ms shot=775ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnything_V3 done (6.60s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_ToPointCloud: confidence_threshold: 0.2, downsample: 1, allow_around_1: True, filter_outliers: False, outlier_percentage: 5.0, depth_raw: torch.float32 [1,532,800,3] cpu, confidence: torch.float32 [1,532,800,3] cpu, intrinsics: '{\\n \"intrinsics\": [\\n {\\n \"image_0\": [\\n ..., sky_mask: torch.float32 [1,532,800] cpu, source_image: torch.float32 [1,532,800,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_3d.DA3_ToPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'depth_raw' shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'confidence' shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'sky_mask' shape: torch.Size([1, 532, 800])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'source_image' shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=5 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 532, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 532, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 532, 800]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 532, 800])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 532, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_ToPointCloud done (0.19s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_3d.DA3_SavePointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=6 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311035, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311035, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311035]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311035])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311035, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311035, 3])"}, {"file": "frame_005.jpg", "time": 11.26, "log": "Capturing execution frames: advanced_3d.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"kaffi.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 21: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 22: DA3_ToPointCloud\n [ComfyUI] Inputs: {\"confidence_threshold\": 0.2, \"downsample\": 1, \"allow_around_1\": 1, \"filter_outliers\": false, \"outlier_percentage\": 5, \"depth_raw\": [\"21\", 0], \"confidence\": [\"21\", 1], \"intrinsics\": [\"21\", 6], \"sky_ma\n [ComfyUI] Node 23: DA3_SavePointCloud\n [ComfyUI] Inputs: {\"filename_prefix\": \"pointcloud\", \"pointcloud\": [\"22\", 0]}\n [ComfyUI] Node 25: DA3_PreviewPointCloud\n [ComfyUI] Inputs: {\"file_path\": [\"23\", 0], \"color_mode\": \"RGB\", \"preview_vtk\": \"\"}\n [ComfyUI] Generated prompt_id: edacd311-431c-40c6-97f4-ad30a10e6b10\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n Queuing workflow for execution...\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=3 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.12s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,533,800,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 533, 800, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=4 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 533, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 533, 800, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=4\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.29GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.29GB\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=4ms shot=116ms unfreeze=2ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=5ms shot=129ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=4.5/7.0GB (71%) swap=0.5/1.0GB (47%) cpu=66% browser_rss=0.56GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=4\n Frame 4 saved (frame_003.jpg, t=6.8s)\n [capture-periodic] freeze=7ms shot=775ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnything_V3 done (6.60s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_ToPointCloud: confidence_threshold: 0.2, downsample: 1, allow_around_1: True, filter_outliers: False, outlier_percentage: 5.0, depth_raw: torch.float32 [1,532,800,3] cpu, confidence: torch.float32 [1,532,800,3] cpu, intrinsics: '{\\n \"intrinsics\": [\\n {\\n \"image_0\": [\\n ..., sky_mask: torch.float32 [1,532,800] cpu, source_image: torch.float32 [1,532,800,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_3d.DA3_ToPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'depth_raw' shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'confidence' shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'sky_mask' shape: torch.Size([1, 532, 800])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'source_image' shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=5 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 532, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 532, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 532, 800]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 532, 800])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 532, 800, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 532, 800, 3])\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_ToPointCloud done (0.19s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_3d.DA3_SavePointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=6 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311035, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311035, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311035]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311035])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311035, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311035, 3])\n Frame 5 saved (frame_004.jpg, t=9.7s)\n [capture-periodic] freeze=4ms shot=127ms unfreeze=3ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (3.09s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_worksp..., color_mode: 'RGB'\n [ComfyUI] [SubprocessWorker] call_method: nodes.preview_nodes.DA3_PreviewPointCloud.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=7 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.01s): result: NodeOutput\n [ComfyUI] Prompt executed in 10.72 seconds"}, {"file": "frame_006.jpg", "time": 17.767273902893066, "log": "Final screenshot"}], "total_time": 11.63}, "advanced": {"frames": [{"file": "frame_000.jpg", "time": 0.0, "log": "Capturing execution frames: advanced.json\n [ComfyUI] [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."}, {"file": "frame_001.jpg", "time": 2.24, "log": "Capturing execution frames: advanced.json\n [ComfyUI] [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.\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 11 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 0]}\n [ComfyUI] Node 6: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 1]}\n [ComfyUI] Node 7: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 2]}\n [ComfyUI] Node 8: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 3]}\n [ComfyUI] Node 9: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 6]}\n Queuing workflow for execution...\n [ComfyUI] Node 10: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 5]}\n [ComfyUI] Node 11: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"12\", 7]}\n [ComfyUI] Node 12: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 13: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 4]}\n [ComfyUI] Generated prompt_id: 27f2f7e6-23b8-4d7e-8cec-da49ced30abe\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] SubprocessWorker: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI'}\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock exists=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available."}, {"file": "frame_002.jpg", "time": 4.4, "log": "Capturing execution frames: advanced.json\n [ComfyUI] [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.\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 11 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 0]}\n [ComfyUI] Node 6: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 1]}\n [ComfyUI] Node 7: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 2]}\n [ComfyUI] Node 8: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 3]}\n [ComfyUI] Node 9: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 6]}\n Queuing workflow for execution...\n [ComfyUI] Node 10: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 5]}\n [ComfyUI] Node 11: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"12\", 7]}\n [ComfyUI] Node 12: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 13: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 4]}\n [ComfyUI] Generated prompt_id: 27f2f7e6-23b8-4d7e-8cec-da49ced30abe\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] SubprocessWorker: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI'}\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock exists=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=1 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=6ms shot=96ms unfreeze=2ms saved=True\n [ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] "}, {"file": "frame_003.jpg", "time": 6.62, "log": "Capturing execution frames: advanced.json\n [ComfyUI] [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.\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 11 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 0]}\n [ComfyUI] Node 6: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 1]}\n [ComfyUI] Node 7: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 2]}\n [ComfyUI] Node 8: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 3]}\n [ComfyUI] Node 9: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 6]}\n Queuing workflow for execution...\n [ComfyUI] Node 10: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 5]}\n [ComfyUI] Node 11: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"12\", 7]}\n [ComfyUI] Node 12: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 13: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 4]}\n [ComfyUI] Generated prompt_id: 27f2f7e6-23b8-4d7e-8cec-da49ced30abe\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] SubprocessWorker: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI'}\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock exists=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=1 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=6ms shot=96ms unfreeze=2ms saved=True\n [ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.4s)\n [capture-periodic] freeze=2ms shot=109ms unfreeze=2ms saved=True\n [ComfyUI] model.safetensors: 0%| | 0.00/1.64G [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 4%|\u258d | 67.1M/1.64G [00:01<00:41, 38.1MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=10 ram=3.8/7.0GB (60%) swap=0.0/0.0GB (0%) cpu=64% browser_rss=0.64GB"}, {"file": "frame_004.jpg", "time": 11.3, "log": "Capturing execution frames: advanced.json\n [ComfyUI] [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.\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 11 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 0]}\n [ComfyUI] Node 6: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 1]}\n [ComfyUI] Node 7: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 2]}\n [ComfyUI] Node 8: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 3]}\n [ComfyUI] Node 9: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 6]}\n Queuing workflow for execution...\n [ComfyUI] Node 10: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 5]}\n [ComfyUI] Node 11: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"12\", 7]}\n [ComfyUI] Node 12: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 13: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 4]}\n [ComfyUI] Generated prompt_id: 27f2f7e6-23b8-4d7e-8cec-da49ced30abe\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] SubprocessWorker: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI'}\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock exists=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=1 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=6ms shot=96ms unfreeze=2ms saved=True\n [ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.4s)\n [capture-periodic] freeze=2ms shot=109ms unfreeze=2ms saved=True\n [ComfyUI] model.safetensors: 0%| | 0.00/1.64G [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 4%|\u258d | 67.1M/1.64G [00:01<00:41, 38.1MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=10 ram=3.8/7.0GB (60%) swap=0.0/0.0GB (0%) cpu=64% browser_rss=0.64GB\n Frame 4 saved (frame_003.jpg, t=6.6s)\n [capture-periodic] freeze=46ms shot=214ms unfreeze=10ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 29%|\u2588\u2588\u258a | 470M/1.64G [00:05<00:12, 94.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1"}, {"file": "frame_005.jpg", "time": 13.81, "log": "Capturing execution frames: advanced.json\n [ComfyUI] [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.\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 11 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 0]}\n [ComfyUI] Node 6: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 1]}\n [ComfyUI] Node 7: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 2]}\n [ComfyUI] Node 8: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 3]}\n [ComfyUI] Node 9: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 6]}\n Queuing workflow for execution...\n [ComfyUI] Node 10: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 5]}\n [ComfyUI] Node 11: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"12\", 7]}\n [ComfyUI] Node 12: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 13: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 4]}\n [ComfyUI] Generated prompt_id: 27f2f7e6-23b8-4d7e-8cec-da49ced30abe\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] SubprocessWorker: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI'}\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock exists=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=1 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=6ms shot=96ms unfreeze=2ms saved=True\n [ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.4s)\n [capture-periodic] freeze=2ms shot=109ms unfreeze=2ms saved=True\n [ComfyUI] model.safetensors: 0%| | 0.00/1.64G [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 4%|\u258d | 67.1M/1.64G [00:01<00:41, 38.1MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=10 ram=3.8/7.0GB (60%) swap=0.0/0.0GB (0%) cpu=64% browser_rss=0.64GB\n Frame 4 saved (frame_003.jpg, t=6.6s)\n [capture-periodic] freeze=46ms shot=214ms unfreeze=10ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 29%|\u2588\u2588\u258a | 470M/1.64G [00:05<00:12, 94.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 5 saved (frame_004.jpg, t=11.3s)\n [capture-periodic] freeze=6ms shot=297ms unfreeze=33ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:09<00:20, 53.8MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=13.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=39 ram=3.7/7.0GB (62%) swap=0.0/0.0GB (0%) cpu=100% browser_rss=0.56GB"}, {"file": "frame_006.jpg", "time": 16.19, "log": "Capturing execution frames: advanced.json\n [ComfyUI] [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.\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 11 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 0]}\n [ComfyUI] Node 6: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 1]}\n [ComfyUI] Node 7: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 2]}\n [ComfyUI] Node 8: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 3]}\n [ComfyUI] Node 9: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 6]}\n Queuing workflow for execution...\n [ComfyUI] Node 10: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 5]}\n [ComfyUI] Node 11: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"12\", 7]}\n [ComfyUI] Node 12: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 13: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 4]}\n [ComfyUI] Generated prompt_id: 27f2f7e6-23b8-4d7e-8cec-da49ced30abe\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] SubprocessWorker: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI'}\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock exists=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=1 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=6ms shot=96ms unfreeze=2ms saved=True\n [ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.4s)\n [capture-periodic] freeze=2ms shot=109ms unfreeze=2ms saved=True\n [ComfyUI] model.safetensors: 0%| | 0.00/1.64G [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 4%|\u258d | 67.1M/1.64G [00:01<00:41, 38.1MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=10 ram=3.8/7.0GB (60%) swap=0.0/0.0GB (0%) cpu=64% browser_rss=0.64GB\n Frame 4 saved (frame_003.jpg, t=6.6s)\n [capture-periodic] freeze=46ms shot=214ms unfreeze=10ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 29%|\u2588\u2588\u258a | 470M/1.64G [00:05<00:12, 94.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 5 saved (frame_004.jpg, t=11.3s)\n [capture-periodic] freeze=6ms shot=297ms unfreeze=33ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:09<00:20, 53.8MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=13.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=39 ram=3.7/7.0GB (62%) swap=0.0/0.0GB (0%) cpu=100% browser_rss=0.56GB\n Frame 6 saved (frame_005.jpg, t=13.8s)\n [capture-periodic] freeze=14ms shot=289ms unfreeze=4ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 41%|\u2588\u2588\u2588\u2588 | 671M/1.64G [00:11<00:18, 52.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1"}, {"file": "frame_007.jpg", "time": 20.7, "log": "Capturing execution frames: advanced.json\n [ComfyUI] [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.\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 11 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 0]}\n [ComfyUI] Node 6: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 1]}\n [ComfyUI] Node 7: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 2]}\n [ComfyUI] Node 8: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 3]}\n [ComfyUI] Node 9: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 6]}\n Queuing workflow for execution...\n [ComfyUI] Node 10: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 5]}\n [ComfyUI] Node 11: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"12\", 7]}\n [ComfyUI] Node 12: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 13: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 4]}\n [ComfyUI] Generated prompt_id: 27f2f7e6-23b8-4d7e-8cec-da49ced30abe\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] SubprocessWorker: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI'}\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock exists=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=1 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=6ms shot=96ms unfreeze=2ms saved=True\n [ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.4s)\n [capture-periodic] freeze=2ms shot=109ms unfreeze=2ms saved=True\n [ComfyUI] model.safetensors: 0%| | 0.00/1.64G [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 4%|\u258d | 67.1M/1.64G [00:01<00:41, 38.1MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=10 ram=3.8/7.0GB (60%) swap=0.0/0.0GB (0%) cpu=64% browser_rss=0.64GB\n Frame 4 saved (frame_003.jpg, t=6.6s)\n [capture-periodic] freeze=46ms shot=214ms unfreeze=10ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 29%|\u2588\u2588\u258a | 470M/1.64G [00:05<00:12, 94.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 5 saved (frame_004.jpg, t=11.3s)\n [capture-periodic] freeze=6ms shot=297ms unfreeze=33ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:09<00:20, 53.8MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=13.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=39 ram=3.7/7.0GB (62%) swap=0.0/0.0GB (0%) cpu=100% browser_rss=0.56GB\n Frame 6 saved (frame_005.jpg, t=13.8s)\n [capture-periodic] freeze=14ms shot=289ms unfreeze=4ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 41%|\u2588\u2588\u2588\u2588 | 671M/1.64G [00:11<00:18, 52.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 7 saved (frame_006.jpg, t=16.2s)\n [capture-periodic] freeze=2ms shot=119ms unfreeze=2ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.64G/1.64G [00:15<00:00, 137MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.64G/1.64G [00:15<00:00, 106MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (19.20s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [capture-loop] iter=150 t=19.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=3.7/7.0GB (60%) swap=0.0/0.0GB (0%) cpu=82% browser_rss=0.56GB\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=2 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])"}, {"file": "frame_008.jpg", "time": 75.98, "log": "Capturing execution frames: advanced.json\n [ComfyUI] [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.\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 11 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 0]}\n [ComfyUI] Node 6: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 1]}\n [ComfyUI] Node 7: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 2]}\n [ComfyUI] Node 8: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 3]}\n [ComfyUI] Node 9: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 6]}\n Queuing workflow for execution...\n [ComfyUI] Node 10: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"12\", 5]}\n [ComfyUI] Node 11: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"12\", 7]}\n [ComfyUI] Node 12: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 13: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"12\", 4]}\n [ComfyUI] Generated prompt_id: 27f2f7e6-23b8-4d7e-8cec-da49ced30abe\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] SubprocessWorker: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI'}\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_e82aca8c311a.sock exists=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=1 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=6ms shot=96ms unfreeze=2ms saved=True\n [ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.4s)\n [capture-periodic] freeze=2ms shot=109ms unfreeze=2ms saved=True\n [ComfyUI] model.safetensors: 0%| | 0.00/1.64G [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 4%|\u258d | 67.1M/1.64G [00:01<00:41, 38.1MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=10 ram=3.8/7.0GB (60%) swap=0.0/0.0GB (0%) cpu=64% browser_rss=0.64GB\n Frame 4 saved (frame_003.jpg, t=6.6s)\n [capture-periodic] freeze=46ms shot=214ms unfreeze=10ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 29%|\u2588\u2588\u258a | 470M/1.64G [00:05<00:12, 94.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 5 saved (frame_004.jpg, t=11.3s)\n [capture-periodic] freeze=6ms shot=297ms unfreeze=33ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:09<00:20, 53.8MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=13.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=39 ram=3.7/7.0GB (62%) swap=0.0/0.0GB (0%) cpu=100% browser_rss=0.56GB\n Frame 6 saved (frame_005.jpg, t=13.8s)\n [capture-periodic] freeze=14ms shot=289ms unfreeze=4ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 41%|\u2588\u2588\u2588\u2588 | 671M/1.64G [00:11<00:18, 52.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 7 saved (frame_006.jpg, t=16.2s)\n [capture-periodic] freeze=2ms shot=119ms unfreeze=2ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.64G/1.64G [00:15<00:00, 137MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.64G/1.64G [00:15<00:00, 106MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (19.20s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [capture-loop] iter=150 t=19.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=3.7/7.0GB (60%) swap=0.0/0.0GB (0%) cpu=82% browser_rss=0.56GB\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=2 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n Frame 8 saved (frame_007.jpg, t=20.7s)\n [capture-periodic] freeze=7ms shot=138ms unfreeze=22ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n [capture-loop] iter=200 t=25.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=3.7/7.0GB (61%) swap=0.0/0.0GB (0%) cpu=63% browser_rss=0.56GB\n [capture-loop] iter=250 t=31.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=3.7/7.0GB (61%) swap=0.0/0.0GB (0%) cpu=47% browser_rss=0.48GB\n [capture-loop] iter=300 t=38.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=3.4/7.0GB (66%) swap=0.0/0.0GB (0%) cpu=60% browser_rss=0.49GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=2\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 2.31GB\n [ComfyUI] [comfy-env] VRAM after eviction: 2.30GB\n [capture-loop] iter=350 t=44.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=3.9/7.0GB (72%) swap=0.0/0.0GB (0%) cpu=74% browser_rss=0.31GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: WARNING: This model does not support sky segmentation. V2-Style normalization will work but without sky masking. Use Mono/Metric/Nested models for best V2-Style results.\n [capture-loop] iter=400 t=50.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=4.5/7.0GB (80%) swap=0.0/0.0GB (0%) cpu=73% browser_rss=0.32GB\n [capture-loop] iter=450 t=57.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=4.9/7.0GB (88%) swap=0.0/0.0GB (0%) cpu=66% browser_rss=0.25GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 1 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x0000000172ae3000 (most recent call first):\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 363 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 660 in wait\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x0000000170acb000 (most recent call first):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 995 in run\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1044 in _bootstrap_inner\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/threading.py\", line 1015 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00000001fde52240 (most recent call first):\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy/ops.py\", line 357 in cast_bias_weight\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy/ops.py\", line 508 in forward_comfy_cast_weights\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy/ops.py\", line 516 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/container.py\", line 253 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1421 in _forward_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1366 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1591 in _process_depth_head\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577 in forward\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787 in _call_impl\n [ComfyUI] File \"/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776 in _wrapped_call_impl\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 156 in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n [capture-loop] iter=500 t=67.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=3.0/7.0GB (70%) swap=0.2/1.0GB (24%) cpu=70% browser_rss=0.21GB\n [capture-loop] iter=550 t=74.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=128 ram=4.1/7.0GB (86%) swap=0.2/1.0GB (24%) cpu=73% browser_rss=0.22GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnything_V3 done (55.58s): result: NodeOutput"}, {"file": "frame_009.jpg", "time": 81.72509694099426, "log": "Final screenshot"}], "total_time": 79.46}, "simple": {"frames": [{"file": "frame_000.jpg", "time": 0.0, "log": "Capturing execution frames: simple.json"}, {"file": "frame_001.jpg", "time": 2.19, "log": "Capturing execution frames: simple.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n Queuing workflow for execution...\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True"}, {"file": "frame_002.jpg", "time": 4.5, "log": "Capturing execution frames: simple.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n Queuing workflow for execution...\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=3ms shot=155ms unfreeze=10ms saved=True"}, {"file": "frame_003.jpg", "time": 8.95, "log": "Capturing execution frames: simple.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n Queuing workflow for execution...\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=3ms shot=155ms unfreeze=10ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=4ms shot=143ms unfreeze=6ms saved=True\n [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=2.3/7.0GB (49%) swap=1.7/3.0GB (58%) cpu=57% browser_rss=0.53GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=17 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=17 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=17 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.19s): result: NodeOutput\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.19s): result: NodeOutput\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.19s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: True, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: True, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: True, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=18 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=18 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=18 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])"}, {"file": "frame_004.jpg", "time": 36.99, "log": "Capturing execution frames: simple.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Node 2: LoadImage\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Inputs: {\"image\": \"bridge.jpg\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Inputs: {\"images\": [\"14\", 0]}\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Node 14: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": true, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Generated prompt_id: 62af46c1-fafe-46a6-b322-8dfbd718d911\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n Queuing workflow for execution...\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.13/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/DepthAnythingV3-1942/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_n6g2jhqf/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_8467db00f731.sock exists=True\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-periodic] freeze=3ms shot=155ms unfreeze=10ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=4ms shot=143ms unfreeze=6ms saved=True\n [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=2.3/7.0GB (49%) swap=1.7/3.0GB (58%) cpu=57% browser_rss=0.53GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=17 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=17 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=17 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.19s): result: NodeOutput\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.19s): result: NodeOutput\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.19s): result: NodeOutput\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: True, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: True, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: True, keep_model_size: False, da3_model: dict, images: torch.float32 [1,683,1024,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=18 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=18 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=18 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 683, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 683, 1024, 3])\n Frame 4 saved (frame_003.jpg, t=8.9s)\n [capture-periodic] freeze=5ms shot=132ms unfreeze=10ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n [capture-loop] iter=100 t=12.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=2.3/7.0GB (36%) swap=0.6/2.0GB (32%) cpu=60% browser_rss=0.53GB\n [capture-loop] iter=150 t=18.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=3.2/7.0GB (49%) swap=0.6/2.0GB (32%) cpu=34% browser_rss=0.53GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=18\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 3.37GB\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 3.37GB\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 3.37GB\n [ComfyUI] [comfy-env] VRAM after eviction: 3.37GB\n [ComfyUI] [comfy-env] VRAM after eviction: 3.37GB\n [ComfyUI] [comfy-env] VRAM after eviction: 3.37GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: WARNING: This model does not support sky segmentation. V2-Style normalization will work but without sky masking. Use Mono/Metric/Nested models for best V2-Style results.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: WARNING: This model does not support sky segmentation. V2-Style normalization will work but without sky masking. Use Mono/Metric/Nested models for best V2-Style results.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: WARNING: This model does not support sky segmentation. V2-Style normalization will work but without sky masking. Use Mono/Metric/Nested models for best V2-Style results.\n [capture-loop] iter=200 t=24.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=4.4/7.0GB (72%) swap=0.5/2.0GB (23%) cpu=59% browser_rss=0.42GB\n [capture-loop] iter=250 t=30.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=4.7/7.0GB (77%) swap=0.4/2.0GB (21%) cpu=73% browser_rss=0.35GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnything_V3 done (28.06s): result: NodeOutput\n [ComfyUI] [comfy-env] DepthAnything_V3 done (28.06s): result: NodeOutput\n [ComfyUI] [comfy-env] DepthAnything_V3 done (28.06s): result: NodeOutput\n [ComfyUI] Prompt executed in 36.54 seconds\n [ComfyUI] Prompt executed in 36.54 seconds\n [ComfyUI] Prompt executed in 36.54 seconds"}, {"file": "frame_005.jpg", "time": 40.788182973861694, "log": "Final screenshot"}], "total_time": 38.29}};
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const inIframe = window !== window.top;
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let currentWorkflow = null;
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let playInterval = null;
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let originalLogContent = '';
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let currentFrameIndex = 0;
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let currentFrames = [];
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let currentTotalTime = 0;
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function openLightboxByName(name) {
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const w = workflowData[name];
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if (w) openLightbox(w.src, w.title, w.status, w.duration, w.log, w.hardware);
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}
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function openLightbox(src, title, status, duration, logContent, hardware) {
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document.getElementById('lightbox-img').src = src;
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document.getElementById('lightbox-title').textContent = title;
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currentWorkflow = title;
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originalLogContent = logContent;
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const badge = document.getElementById('lightbox-badge');
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badge.textContent = status;
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badge.className = 'lightbox-badge ' + status;
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document.getElementById('lightbox-duration').textContent = duration + 's';
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document.getElementById('lightbox-log').textContent = logContent || '(No log available)';
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const hwEl = document.getElementById('lightbox-hardware');
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if (hardware) {
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const parts = [];
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if (hardware.os) parts.push(hardware.os);
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if (hardware.cpu) parts.push(hardware.cpu);
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if (hardware.gpu) parts.push(hardware.gpu);
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hwEl.textContent = parts.join(' | ');
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} else {
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hwEl.textContent = status === 'skipped' ? '(Did not run on this machine)' : '';
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}
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const data = videoData[title];
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const videoPlayer = document.getElementById('video-player');
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const lightboxImg = document.getElementById('lightbox-img');
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const lightboxVideo = document.getElementById('lightbox-video');
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// Reset both modes; the branch below activates one.
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videoPlayer.classList.remove('active');
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lightboxVideo.style.display = 'none';
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lightboxVideo.removeAttribute('src');
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lightboxImg.style.display = '';
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if (data && data.mp4) {
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// Playable mp4 (desktop runs). Show <video>, hide the
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// frame-slideshow img + slider.
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lightboxVideo.src = 'videos/' + encodeURIComponent(title) + '/' + data.mp4;
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lightboxVideo.style.display = '';
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lightboxImg.style.display = 'none';
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} else if (data && data.frames && data.frames.length > 1) {
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currentFrames = data.frames;
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currentTotalTime = data.total_time || data.frames[data.frames.length - 1].time;
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setupVideoSlider(data.frames, currentTotalTime);
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updateVideoFrameByIndex(title, data.frames.length - 1);
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videoPlayer.classList.add('active');
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}
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loadResourceGraph(title);
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// Close image overlay if open
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closeImgOverlay();
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document.getElementById('lightbox').classList.add('active');
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history.replaceState(null, '', '#' + encodeURIComponent(title));
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// Notify parent frames for deep linking
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if (inIframe) {
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window.parent.postMessage({ type: 'comfytest-open', name: title }, '*');
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}
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}
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function buildSliderRange(frames, totalTime) {
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const range = { 'min': frames[0].time };
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frames.forEach((frame, idx) => {
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if (idx > 0 && idx < frames.length - 1) {
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const pct = (frame.time / totalTime * 100).toFixed(1) + '%';
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range[pct] = frame.time;
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}
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});
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range['max'] = frames[frames.length - 1].time;
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return range;
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}
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function setupVideoSlider(frames, totalTime) {
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const sliderEl = document.getElementById('video-slider');
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if (sliderEl.noUiSlider) {
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sliderEl.noUiSlider.destroy();
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}
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const range = buildSliderRange(frames, totalTime);
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noUiSlider.create(sliderEl, {
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start: frames[frames.length - 1].time,
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snap: true,
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range: range,
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pips: {
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mode: 'range',
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density: 100
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}
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});
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sliderEl.noUiSlider.on('update', function(values) {
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const time = parseFloat(values[0]);
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const frameIdx = frames.findIndex(f => Math.abs(f.time - time) < 0.01);
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if (frameIdx >= 0 && frameIdx !== currentFrameIndex) {
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currentFrameIndex = frameIdx;
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showFrame(currentWorkflow, frameIdx);
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}
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});
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}
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function showFrame(workflowName, frameIndex) {
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const data = videoData[workflowName];
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if (!data || !data.frames) return;
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const frame = data.frames[frameIndex];
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const img = document.getElementById('lightbox-img');
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const isLastFrame = frameIndex === data.frames.length - 1;
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if (isLastFrame && workflowData[workflowName] && workflowData[workflowName].src) {
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img.src = workflowData[workflowName].src;
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} else {
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img.src = 'videos/' + workflowName + '/' + frame.file;
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}
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const counter = document.getElementById('video-frame-counter');
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const totalTime = data.total_time || data.frames[data.frames.length - 1].time;
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counter.textContent = frame.time.toFixed(1) + 's / ' + totalTime.toFixed(1) + 's';
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const logEl = document.getElementById('lightbox-log');
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if (frame.log) {
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logEl.textContent = frame.log;
|
|
logEl.scrollTop = logEl.scrollHeight;
|
|
}
|
|
}
|
|
|
|
function updateVideoFrameByIndex(workflowName, frameIndex) {
|
|
currentFrameIndex = frameIndex;
|
|
showFrame(workflowName, frameIndex);
|
|
|
|
const sliderEl = document.getElementById('video-slider');
|
|
if (sliderEl.noUiSlider && currentFrames[frameIndex]) {
|
|
sliderEl.noUiSlider.set(currentFrames[frameIndex].time);
|
|
}
|
|
}
|
|
|
|
function toggleVideoPlay() {
|
|
const btn = document.getElementById('video-play-btn');
|
|
if (playInterval) {
|
|
clearInterval(playInterval);
|
|
playInterval = null;
|
|
btn.innerHTML = '▶ Play';
|
|
} else {
|
|
btn.innerHTML = '■ Stop';
|
|
playInterval = setInterval(() => {
|
|
if (!currentFrames.length) return;
|
|
currentFrameIndex = (currentFrameIndex + 1) % currentFrames.length;
|
|
updateVideoFrameByIndex(currentWorkflow, currentFrameIndex);
|
|
}, 500);
|
|
}
|
|
}
|
|
|
|
let resourceGraphState = null;
|
|
|
|
async function loadResourceGraph(workflowName) {
|
|
const graphContainer = document.getElementById('resource-graph');
|
|
const canvas = document.getElementById('resource-canvas');
|
|
const gpuLegend = document.getElementById('gpu-legend');
|
|
|
|
resourceGraphState = null;
|
|
|
|
try {
|
|
const csvResponse = await fetch('logs/' + workflowName + '_resources.csv');
|
|
|
|
if (!csvResponse.ok) {
|
|
graphContainer.classList.remove('active');
|
|
return;
|
|
}
|
|
|
|
const text = await csvResponse.text();
|
|
const allLines = text.trim().split('\n');
|
|
|
|
let totalRamGb = 32;
|
|
if (allLines[0].startsWith('#')) {
|
|
const metaMatch = allLines[0].match(/total_ram_gb=([\d.]+)/);
|
|
if (metaMatch) {
|
|
totalRamGb = parseFloat(metaMatch[1]);
|
|
}
|
|
}
|
|
|
|
const dataLines = allLines.slice(2);
|
|
|
|
if (dataLines.length < 2) {
|
|
graphContainer.classList.remove('active');
|
|
return;
|
|
}
|
|
|
|
const data = dataLines.map(line => {
|
|
const [t, ram, vram] = line.split(',');
|
|
return {
|
|
t: parseFloat(t),
|
|
ram: parseFloat(ram),
|
|
vram: vram ? parseFloat(vram) : null
|
|
};
|
|
});
|
|
|
|
const hasVram = data.some(d => d.vram !== null);
|
|
gpuLegend.style.display = hasVram ? 'flex' : 'none';
|
|
|
|
graphContainer.classList.add('active');
|
|
await new Promise(r => setTimeout(r, 10));
|
|
|
|
const ctx = canvas.getContext('2d');
|
|
const dpr = window.devicePixelRatio || 1;
|
|
const rect = canvas.getBoundingClientRect();
|
|
canvas.width = rect.width * dpr;
|
|
canvas.height = rect.height * dpr;
|
|
ctx.scale(dpr, dpr);
|
|
|
|
const w = rect.width;
|
|
const h = rect.height;
|
|
const padding = { top: 10, right: 40, bottom: 20, left: 45 };
|
|
const graphW = w - padding.left - padding.right;
|
|
const graphH = h - padding.top - padding.bottom;
|
|
|
|
const maxRam = Math.max(...data.map(d => d.ram), 0.5);
|
|
const maxVram = hasVram ? Math.max(...data.filter(d => d.vram !== null).map(d => d.vram), 0.5) : 1;
|
|
const maxTime = data[data.length - 1].t;
|
|
|
|
resourceGraphState = { data, padding, w, h, graphW, graphH, maxRam, maxVram, maxTime, hasVram, dpr };
|
|
|
|
drawResourceGraph();
|
|
} catch (e) {
|
|
console.error('Resource graph error:', e);
|
|
graphContainer.classList.remove('active');
|
|
}
|
|
}
|
|
|
|
function drawResourceGraph(hoverX) {
|
|
if (!resourceGraphState) return;
|
|
const { data, padding, w, h, graphW, graphH, maxRam, maxVram, maxTime, hasVram, dpr } = resourceGraphState;
|
|
|
|
const canvas = document.getElementById('resource-canvas');
|
|
const ctx = canvas.getContext('2d');
|
|
ctx.setTransform(dpr, 0, 0, dpr, 0, 0);
|
|
ctx.clearRect(0, 0, w, h);
|
|
|
|
// Grid lines
|
|
ctx.strokeStyle = '#1c2d44';
|
|
ctx.lineWidth = 0.5;
|
|
for (let i = 1; i < 4; i++) {
|
|
const y = padding.top + (graphH * i / 4);
|
|
ctx.beginPath();
|
|
ctx.moveTo(padding.left, y);
|
|
ctx.lineTo(w - padding.right, y);
|
|
ctx.stroke();
|
|
}
|
|
|
|
// Axes
|
|
ctx.strokeStyle = '#243656';
|
|
ctx.lineWidth = 1;
|
|
ctx.beginPath();
|
|
ctx.moveTo(padding.left, padding.top);
|
|
ctx.lineTo(padding.left, h - padding.bottom);
|
|
ctx.lineTo(w - padding.right, h - padding.bottom);
|
|
ctx.lineTo(w - padding.right, padding.top);
|
|
ctx.stroke();
|
|
|
|
// Left axis: RAM
|
|
ctx.fillStyle = '#3fb950';
|
|
ctx.font = '9px sans-serif';
|
|
ctx.textAlign = 'right';
|
|
const ramMax = Math.ceil(maxRam * 10) / 10;
|
|
ctx.fillText(ramMax.toFixed(1) + ' GB', padding.left - 3, padding.top + 4);
|
|
ctx.fillText('0', padding.left - 3, h - padding.bottom + 4);
|
|
|
|
// Right axis: VRAM (if present)
|
|
if (hasVram) {
|
|
ctx.fillStyle = '#d29922';
|
|
ctx.textAlign = 'left';
|
|
const vramMax = Math.ceil(maxVram * 10) / 10;
|
|
ctx.fillText(vramMax.toFixed(1) + ' GB', w - padding.right + 3, padding.top + 4);
|
|
ctx.fillText('0', w - padding.right + 3, h - padding.bottom + 4);
|
|
}
|
|
|
|
// Time labels
|
|
ctx.fillStyle = '#4a6282';
|
|
ctx.textAlign = 'center';
|
|
ctx.fillText('0s', padding.left, h - padding.bottom + 12);
|
|
ctx.fillText(maxTime.toFixed(0) + 's', w - padding.right, h - padding.bottom + 12);
|
|
|
|
function drawLine(values, maxVal, color) {
|
|
if (values.every(v => v === null || isNaN(v))) return;
|
|
ctx.strokeStyle = color;
|
|
ctx.lineWidth = 1.5;
|
|
ctx.beginPath();
|
|
let started = false;
|
|
data.forEach((d, i) => {
|
|
const val = values[i];
|
|
if (val === null || isNaN(val)) return;
|
|
const x = padding.left + (d.t / maxTime) * graphW;
|
|
const y = padding.top + (1 - val / maxVal) * graphH;
|
|
if (!started) { ctx.moveTo(x, y); started = true; }
|
|
else { ctx.lineTo(x, y); }
|
|
});
|
|
ctx.stroke();
|
|
}
|
|
|
|
drawLine(data.map(d => d.ram), ramMax, '#3fb950');
|
|
if (hasVram) {
|
|
drawLine(data.map(d => d.vram), Math.ceil(maxVram * 10) / 10, '#d29922');
|
|
}
|
|
|
|
// Hover crosshair
|
|
if (hoverX !== undefined && hoverX >= padding.left && hoverX <= w - padding.right) {
|
|
const timeAtCursor = ((hoverX - padding.left) / graphW) * maxTime;
|
|
let closest = data[0], closestDist = Infinity;
|
|
for (const d of data) {
|
|
const dist = Math.abs(d.t - timeAtCursor);
|
|
if (dist < closestDist) { closestDist = dist; closest = d; }
|
|
}
|
|
|
|
const snapX = padding.left + (closest.t / maxTime) * graphW;
|
|
|
|
// Vertical line
|
|
ctx.strokeStyle = 'rgba(230,237,243,0.2)';
|
|
ctx.lineWidth = 1;
|
|
ctx.beginPath();
|
|
ctx.moveTo(snapX, padding.top);
|
|
ctx.lineTo(snapX, h - padding.bottom);
|
|
ctx.stroke();
|
|
|
|
// Readout
|
|
ctx.font = '10px sans-serif';
|
|
ctx.textAlign = 'left';
|
|
const readoutX = snapX + 6;
|
|
let readoutY = padding.top + 14;
|
|
|
|
ctx.fillStyle = '#8ba3c1';
|
|
ctx.fillText(closest.t.toFixed(1) + 's', readoutX, readoutY);
|
|
readoutY += 13;
|
|
|
|
ctx.fillStyle = '#3fb950';
|
|
ctx.fillText('RAM: ' + closest.ram.toFixed(2) + ' GB', readoutX, readoutY);
|
|
readoutY += 13;
|
|
|
|
if (hasVram && closest.vram !== null) {
|
|
ctx.fillStyle = '#d29922';
|
|
ctx.fillText('VRAM: ' + closest.vram.toFixed(2) + ' GB', readoutX, readoutY);
|
|
}
|
|
}
|
|
}
|
|
|
|
// Canvas hover handler
|
|
document.getElementById('resource-canvas').addEventListener('mousemove', function(e) {
|
|
if (!resourceGraphState) return;
|
|
const rect = this.getBoundingClientRect();
|
|
drawResourceGraph(e.clientX - rect.left);
|
|
});
|
|
document.getElementById('resource-canvas').addEventListener('mouseleave', function() {
|
|
drawResourceGraph();
|
|
});
|
|
|
|
function closeImgOverlay() {
|
|
const overlay = document.getElementById('img-overlay');
|
|
overlay.classList.remove('active', 'zoomed');
|
|
}
|
|
|
|
function closeLightbox() {
|
|
if (playInterval) {
|
|
clearInterval(playInterval);
|
|
playInterval = null;
|
|
document.getElementById('video-play-btn').innerHTML = '▶ Play';
|
|
}
|
|
closeImgOverlay();
|
|
document.getElementById('resource-graph').classList.remove('active');
|
|
document.getElementById('lightbox').classList.remove('active');
|
|
history.replaceState(null, '', window.location.pathname);
|
|
|
|
if (inIframe) {
|
|
window.parent.postMessage({ type: 'comfytest-close' }, '*');
|
|
}
|
|
}
|
|
|
|
document.getElementById('lightbox').onclick = (e) => {
|
|
if (e.target.id === 'lightbox') closeLightbox();
|
|
};
|
|
|
|
function navigateLightbox(delta) {
|
|
if (workflowNames.length === 0) return;
|
|
const idx = workflowNames.indexOf(currentWorkflow);
|
|
if (idx === -1) return;
|
|
const newIdx = (idx + delta + workflowNames.length) % workflowNames.length;
|
|
openLightboxByName(workflowNames[newIdx]);
|
|
}
|
|
|
|
function handleKey(key) {
|
|
const overlay = document.getElementById('img-overlay');
|
|
if (key === 'Escape') {
|
|
if (overlay.classList.contains('active')) {
|
|
closeImgOverlay();
|
|
} else {
|
|
closeLightbox();
|
|
}
|
|
return;
|
|
}
|
|
if (document.getElementById('lightbox').classList.contains('active') && !overlay.classList.contains('active')) {
|
|
if (key === 'ArrowLeft') { navigateLightbox(-1); }
|
|
if (key === 'ArrowRight') { navigateLightbox(1); }
|
|
if ((key === 'ArrowUp' || key === 'ArrowDown') && inIframe) {
|
|
window.parent.postMessage({
|
|
type: 'comfytest-platform-shift',
|
|
delta: key === 'ArrowUp' ? -1 : 1,
|
|
workflow: currentWorkflow,
|
|
}, '*');
|
|
}
|
|
}
|
|
}
|
|
|
|
document.onkeydown = (e) => {
|
|
if (['Escape', 'ArrowLeft', 'ArrowRight', 'ArrowUp', 'ArrowDown'].includes(e.key)) {
|
|
e.preventDefault();
|
|
handleKey(e.key);
|
|
}
|
|
};
|
|
|
|
// Click lightbox image -> open in fullscreen overlay (fit mode)
|
|
document.getElementById('lightbox-img').addEventListener('click', function(e) {
|
|
e.stopPropagation();
|
|
const overlay = document.getElementById('img-overlay');
|
|
const overlayImg = document.getElementById('img-overlay-content');
|
|
overlayImg.src = this.src;
|
|
overlay.classList.add('active');
|
|
overlay.classList.remove('zoomed');
|
|
});
|
|
|
|
// Click overlay image: fit -> zoomed -> close
|
|
document.getElementById('img-overlay-content').addEventListener('click', function(e) {
|
|
e.stopPropagation();
|
|
const overlay = document.getElementById('img-overlay');
|
|
if (overlay.classList.contains('zoomed')) {
|
|
closeImgOverlay();
|
|
} else {
|
|
overlay.classList.add('zoomed');
|
|
}
|
|
});
|
|
|
|
// Click overlay background -> close overlay
|
|
document.getElementById('img-overlay').addEventListener('click', function(e) {
|
|
if (e.target === this) closeImgOverlay();
|
|
});
|
|
|
|
function openFromHash() {
|
|
const hash = decodeURIComponent(window.location.hash.slice(1));
|
|
if (hash && workflowData[hash]) {
|
|
const w = workflowData[hash];
|
|
openLightbox(w.src, w.title, w.status, w.duration, w.log, w.hardware);
|
|
}
|
|
}
|
|
|
|
window.addEventListener('hashchange', openFromHash);
|
|
window.addEventListener('load', openFromHash);
|
|
|
|
// Listen for messages from parent frames
|
|
window.addEventListener('message', function(e) {
|
|
if (!e.data || !e.data.type) return;
|
|
if (e.data.type === 'comfytest-open' && e.data.name) {
|
|
openLightboxByName(e.data.name);
|
|
}
|
|
if (e.data.type === 'comfytest-key') {
|
|
handleKey(e.data.key);
|
|
}
|
|
});
|
|
|
|
// Detect iframe: hide header and move meta chips into summary
|
|
if (inIframe) {
|
|
document.body.classList.add('in-iframe');
|
|
const chips = document.querySelector('.meta-chips');
|
|
const summary = document.querySelector('.summary');
|
|
if (chips && summary) {
|
|
const wrapper = document.createElement('div');
|
|
wrapper.className = 'summary-meta';
|
|
while (chips.firstChild) wrapper.appendChild(chips.firstChild);
|
|
summary.insertBefore(wrapper, summary.firstChild);
|
|
}
|
|
}
|
|
</script>
|
|
</body>
|
|
</html>
|