1708 lines
461 KiB
HTML
1708 lines
461 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 71.42857142857143%, #f85149 71.42857142857143%, #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;
|
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color: #8ba3c1;
|
|
margin-top: 0.25rem;
|
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}
|
|
|
|
.lightbox-meta {
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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;
|
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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;
|
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font-size: 0.85rem;
|
|
}
|
|
|
|
.lightbox-log {
|
|
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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}
|
|
|
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.lightbox-log::-webkit-scrollbar {
|
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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> 2026-05-15 11:24 UTC</span> <a class="meta-chip" href="https://github.com/PozzettiAndrea/comfy-gpu-ci/actions/runs/25914508264" 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> Linux-6.8.0-107-generic-x86_64-with-glibc2.35</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> AMD Ryzen 5 3600 6-Core Processor</span> <span class="meta-chip"><svg viewBox="0 0 16 16"><path d="M4 8a1.5 1.5 0 113 0 1.5 1.5 0 01-3 0zm7.5-1.5a1.5 1.5 0 100 3 1.5 1.5 0 000-3zM3 2a2 2 0 00-2 2v8a2 2 0 002 2h10a2 2 0 002-2V4a2 2 0 00-2-2H3z"/></svg> NVIDIA GeForce RTX 5060</span>
|
|
</div>
|
|
</header>
|
|
|
|
<div class="container">
|
|
<div class="summary">
|
|
<div class="progress-wrapper">
|
|
<div class="progress-bar">
|
|
<div class="progress-fill has-failures" style="width: 71.42857142857143%"></div>
|
|
</div>
|
|
<span class="progress-label">71.4%</span>
|
|
</div>
|
|
<div class="stats">
|
|
<span class="stat-badge stat-pass">5 passed</span>
|
|
<span class="stat-badge stat-fail">2 failed</span>
|
|
<span class="stat-total">5/7 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>34.26s</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>15.85s</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>15.27s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('bas_relief')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="bas_relief">bas_relief</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>12.64s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('da3_streaming')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="da3_streaming">da3_streaming</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>30.24s</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>13.76s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable " onclick="openLightboxByName('video_multiview_depth')">
|
|
|
|
<img class="workflow-screenshot" src="screenshots/video_multiview_depth_executed.png"
|
|
alt="video_multiview_depth" loading="lazy">
|
|
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="video_multiview_depth">video_multiview_depth</span>
|
|
<span class="workflow-badge pass">pass</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>27.10s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
</div>
|
|
|
|
|
|
<div class="failed-section">
|
|
<h2>Failed Tests</h2>
|
|
|
|
<div class="failed-item">
|
|
<div class="failed-header">
|
|
<span class="failed-name">bas_relief</span>
|
|
<span class="failed-duration">12.64s</span>
|
|
</div>
|
|
<div class="failed-error">Workflow execution failed: {'prompt_id': 'cc73b4a4-6f9f-42db-b94b-ee5b9b17d965', 'node_id': '21', 'node_type': 'DepthAnything_V3', 'executed': ['2', '3'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 4.33 GiB\nRequested : 1.27 GiB\nDevice limit : 7.49 GiB\nFree (according to CUDA): 117.44 MiB\nPyTorch limit (set by user-supplied memory fraction)\n : 17179869184.00 GiB\n\nWorker traceback:\nTraceback (most recent call last):\n File "/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py", line 156, in execute\n output = model(img, extrinsics=ext_i, intrinsics=int_i, infer_gs=infer_gs)\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl\n return forward_call(*args, **kwargs)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1577, in forward\n output = self._process_depth_head(feats, H, W)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1591, in _process_depth_head\n return self.head(feats, H, W, patch_start_idx=0)\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl\n return forward_call(*args, **kwargs)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1366, in forward\n out_dict = self._forward_impl(feats, H, W, patch_start_idx)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1419, in _forward_impl\n fused_main = self._add_pos_embed(fused_main, W, H)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1477, in _add_pos_embed\n pe = position_grid_to_embed(pe, x.shape[1]) * ratio\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 131, in position_grid_to_embed\n emb = torch.cat([emb_x, emb_y], dim=-1)\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 4.33 GiB\nRequested : 1.27 GiB\nDevice limit : 7.49 GiB\nFree (according to CUDA): 117.44 MiB\nPyTorch limit (set by user-supplied memory fraction)\n : 17179869184.00 GiB\n\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File "/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py", line 535, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n', ' File "/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py", line 335, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n', ' File "/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n', ' File "/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n', ' File "/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py", line 674, in call_method\n raise WorkerError(\n'], 'current_inputs': {'normalization_mode': ['Raw'], 'resize_method': ['resize'], 'invert_depth': [False], 'keep_model_size': [True], 'da3_model': ["{'model_path': '/workspaces/DepthAnythingV3-1117/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}"], 'images': ['tensor([[[[0.5922, 0.4510, 0.2863],\n [0.5922, 0.4588, 0.2902],\n [0.5529, 0.4235, 0.2667],\n [0.5176, 0.3922, 0.2588],\n [0.5059, 0.3882, 0.2706],\n [0.4863, 0.3765, 0.2549],\n ...,\n [0.5608, 0.4471, 0.3059],\n [0.5608, 0.4471, 0.3098],\n [0.5490, 0.4471, 0.3255],\n [0.5373, 0.4510, 0.3373],\n [0.5176, 0.4392, 0.3216],\n [0.5059, 0.4314, 0.3216]],\n\n [[0.5686, 0.4235, 0.2745],\n [0.5451, 0.4157, 0.2627],\n [0.5373, 0.4078, 0.2627],\n [0.5216, 0.4000, 0.2667],\n [0.5020, 0.3843, 0.2627],\n [0.5020, 0.3843, 0.2706],\n ...,\n [0.5608, 0.4471, 0.3020],\n [0.5647, 0.4549, 0.3098],\n [0.5647, 0.4627, 0.3373],\n [0.5412, 0.4549, 0.3451],\n [0.5137, 0.4392, 0.3294],\n [0.5020, 0.4314, 0.3255]],\n\n [[0.4745, 0.3529, 0.2235],\n [0.4706, 0.3569, 0.2235],\n [0.4745, 0.3647, 0.2392],\n [0.4824, 0.3686, 0.2431],\n [0.4824, 0.3686, 0.2471],\n [0.4941, 0.3843, 0.2627],\n ...,\n [0.5647, 0.4471, 0.3059],\n [0.5686, 0.4549, 0.3176],\n [0.5529, 0.4510, 0.3255],\n [0.5255, 0.4314, 0.3294],\n [0.5255, 0.4471, 0.3412],\n [0.5059, 0.4353, 0.3216]],\n\n [[0.4000, 0.2902, 0.1765],\n [0.3882, 0.2863, 0.1725],\n [0.3647, 0.2627, 0.1529],\n [0.3961, 0.2902, 0.1804],\n [0.4627, 0.3569, 0.2392],\n [0.4941, 0.3882, 0.2627],\n ...,\n [0.5765, 0.4588, 0.3255],\n [0.5765, 0.4667, 0.3255],\n [0.5686, 0.4588, 0.3294],\n [0.5451, 0.4510, 0.3333],\n [0.5333, 0.4510, 0.3412],\n [0.5294, 0.4471, 0.3333]],\n\n [[0.5098, 0.3882, 0.2627],\n [0.5176, 0.4000, 0.2706],\n [0.5059, 0.3843, 0.2627],\n [0.4745, 0.3569, 0.2392],\n [0.4706, 0.3647, 0.2431],\n [0.4902, 0.3804, 0.2627],\n ...,\n [0.5804, 0.4706, 0.3373],\n [0.5647, 0.4549, 0.3176],\n [0.5804, 0.4627, 0.3255],\n [0.5608, 0.4510, 0.3216],\n [0.5294, 0.4392, 0.3216],\n [0.5412, 0.4471, 0.3451]],\n\n [[0.4980, 0.3686, 0.2392],\n [0.5490, 0.4275, 0.2863],\n [0.5294, 0.4196, 0.2863],\n [0.4745, 0.3569, 0.2314],\n [0.4745, 0.3647, 0.2392],\n [0.4980, 0.3922, 0.2667],\n ...,\n [0.5529, 0.4471, 0.3137],\n [0.5569, 0.4431, 0.3137],\n [0.5725, 0.4549, 0.3176],\n [0.5569, 0.4471, 0.3020],\n [0.5569, 0.4549, 0.3137],\n [0.5451, 0.4431, 0.3294]],\n\n ...,\n\n [[0.5765, 0.4824, 0.3725],\n [0.5725, 0.4824, 0.3686],\n [0.5686, 0.4745, 0.3608],\n [0.5490, 0.4471, 0.3216],\n [0.5373, 0.4235, 0.2902],\n [0.5294, 0.4118, 0.2784],\n ...,\n [0.5373, 0.4196, 0.2745],\n [0.5765, 0.4471, 0.3020],\n [0.5333, 0.4000, 0.2588],\n [0.5647, 0.4353, 0.2784],\n [0.5608, 0.4275, 0.2627],\n [0.6000, 0.4588, 0.3059]],\n\n [[0.5451, 0.4471, 0.3373],\n [0.5647, 0.4706, 0.3569],\n [0.5608, 0.4627, 0.3490],\n [0.5255, 0.4196, 0.2980],\n [0.5255, 0.4078, 0.2784],\n [0.5176, 0.3961, 0.2627],\n ...,\n [0.5255, 0.4039, 0.2549],\n [0.5490, 0.4275, 0.2706],\n [0.5333, 0.4039, 0.2510],\n [0.5490, 0.4157, 0.2706],\n [0.5647, 0.4314, 0.2784],\n [0.5961, 0.4588, 0.2980]],\n\n [[0.5529, 0.4510, 0.3294],\n [0.5490, 0.4431, 0.3176],\n [0.5686, 0.4588, 0.3373],\n [0.5412, 0.4275, 0.3059],\n [0.5412, 0.4275, 0.2980],\n [0.5333, 0.4157, 0.2824],\n ...,\n [0.5569, 0.4235, 0.2863],\n [0.5608, 0.4353, 0.2980],\n [0.5490, 0.4157, 0.2824],\n [0.5608, 0.4196, 0.2863],\n [0.5647, 0.4314, 0.2863],\n [0.5922, 0.4588, 0.3098]],\n\n [[0.5294, 0.4196, 0.3059],\n [0.5333, 0.4275, 0.2941],\n [0.5412, 0.4235, 0.2941],\n [0.5333, 0.4118, 0.2902],\n [0.5373, 0.4196, 0.2941],\n [0.5294, 0.4118, 0.2902],\n ...,\n [0.5765, 0.4431, 0.3137],\n [0.5765, 0.4471, 0.3176],\n [0.5490, 0.4118, 0.2824],\n [0.5647, 0.4275, 0.2863],\n [0.5765, 0.4431, 0.2941],\n [0.5765, 0.4353, 0.2863]],\n\n [[0.5176, 0.4078, 0.2902],\n [0.5412, 0.4392, 0.3098],\n [0.5098, 0.3922, 0.2745],\n [0.5098, 0.3922, 0.2706],\n [0.5255, 0.4078, 0.2902],\n [0.5137, 0.4000, 0.2824],\n ...,\n [0.5608, 0.4235, 0.2941],\n [0.5765, 0.4353, 0.3059],\n [0.5451, 0.4078, 0.2627],\n [0.5451, 0.4078, 0.2549],\n [0.5451, 0.4000, 0.2471],\n [0.5255, 0.3686, 0.2157]],\n\n [[0.5176, 0.4196, 0.3098],\n [0.5725, 0.4667, 0.3569],\n [0.5490, 0.4392, 0.3294],\n [0.5412, 0.4353, 0.3137],\n [0.5373, 0.4275, 0.3059],\n [0.5176, 0.4039, 0.2863],\n ...,\n [0.5647, 0.4314, 0.2980],\n [0.5529, 0.4118, 0.2745],\n [0.5098, 0.3686, 0.2196],\n [0.5373, 0.3882, 0.2353],\n [0.5176, 0.3647, 0.2078],\n [0.4745, 0.3176, 0.1765]]]])']}, 'current_outputs': ['27', '3', '30', '21', '2', '32'], 'timestamp': 1778844200960}
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Details:
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Workflow: /node/ComfyUI-DepthAnythingV3/workflows/bas_relief.json
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Node error: DepthAnything_V3</div>
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</div>
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<div class="failed-item">
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<div class="failed-header">
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<span class="failed-name">da3_streaming</span>
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<span class="failed-duration">30.24s</span>
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</div>
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<div class="failed-error">Workflow execution failed: {'prompt_id': 'a98c7146-c59d-4e12-8908-79658ad8da0e', 'node_id': '6', 'node_type': 'DepthAnythingV3_Streaming', 'executed': ['2', '5', '3'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 4.85 GiB\nRequested : 286.44 MiB\nDevice limit : 7.49 GiB\nFree (according to CUDA): 117.44 MiB\nPyTorch limit (set by user-supplied memory fraction)\n : 17179869184.00 GiB\n\nWorker traceback:\nTraceback (most recent call last):\n File "/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py", line 249, in execute\n result = pipeline.run(normalized_images, pbar=pbar,\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py", line 277, in run\n result = self._process_chunk(normalized_images, start, end)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py", line 330, in _process_chunk\n output = self.model(chunk_input)\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl\n return forward_call(*args, **kwargs)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1577, in forward\n output = self._process_depth_head(feats, H, W)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1591, in _process_depth_head\n return self.head(feats, H, W, patch_start_idx=0)\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl\n return forward_call(*args, **kwargs)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1379, in forward\n self._forward_impl([feat[s0:s1] for feat in feats], H, W, patch_start_idx)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1419, in _forward_impl\n fused_main = self._add_pos_embed(fused_main, W, H)\n File "/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1477, in _add_pos_embed\n pe = position_grid_to_embed(pe, x.shape[1]) * ratio\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 4.85 GiB\nRequested : 286.44 MiB\nDevice limit : 7.49 GiB\nFree (according to CUDA): 117.44 MiB\nPyTorch limit (set by user-supplied memory fraction)\n : 17179869184.00 GiB\n\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File "/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py", line 535, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n', ' File "/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py", line 335, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n', ' File "/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n', ' File "/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n', ' File "/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py", line 674, in call_method\n raise WorkerError(\n'], 'current_inputs': {'normalization_mode': ['Standard'], 'chunk_size': [30], 'overlap': [8], 'align_lib': ['auto'], 'align_method': ['sim3'], 'resize_method': ['resize'], 'invert_depth': [True], 'save_pointcloud': [False], 'sample_ratio': [0.015], 'conf_threshold_coef': [0.75], 'da3_model': ["{'model_path': '/workspaces/DepthAnythingV3-1117/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}"], 'video': ['<comfy_api.latest._input_impl.video_types.VideoFromFile object at 0x798245e9b910>'], 'salad_model': ["{'checkpoint_path': '/workspaces/DepthAnythingV3-1117/ComfyUI/models/salad/dino_salad.safetensors'}"]}, 'current_outputs': ['4', '3', '6', '5', '2'], 'timestamp': 1778844231345}
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Details:
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Workflow: /node/ComfyUI-DepthAnythingV3/workflows/da3_streaming.json
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Node error: DepthAnythingV3_Streaming</div>
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</div>
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</div>
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<div class="models-section">
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<div class="section-header">
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<h2 class="section-title">Downloaded Models</h2>
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<span class="models-total">9 files · 2.4 GB</span>
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</div>
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<details class="models-folder" open>
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<summary class="models-folder-header">
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<span class="models-folder-name">models/depthanything3/</span>
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<span class="models-folder-meta">
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<span class="models-folder-size">2.0 GB</span>
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</span>
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</summary>
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<div class="models-file-list">
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<div class="models-file"><span class="models-file-path">da3_large.safetensors</span><span class="models-file-size">1.5 GB</span></div>
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<div class="models-file"><span class="models-file-path">da3_base.safetensors</span><span class="models-file-size">516.4 MB</span></div>
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<div class="models-file"><span class="models-file-path">.cache/huggingface/CACHEDIR.TAG</span><span class="models-file-size">191.0 B</span></div>
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<div class="models-file"><span class="models-file-path">.cache/huggingface/download/model.safetensors.metadata</span><span class="models-file-size">125.0 B</span></div>
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<div class="models-file"><span class="models-file-path">.cache/huggingface/.gitignore</span><span class="models-file-size">1.0 B</span></div>
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</div>
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</details>
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<details class="models-folder" open>
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<summary class="models-folder-header">
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<span class="models-folder-name">models/salad/</span>
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<span class="models-folder-meta">
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<span class="models-folder-size">335.7 MB</span>
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</span>
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</summary>
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<div class="models-file-list">
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<div class="models-file"><span class="models-file-path">dino_salad.safetensors</span><span class="models-file-size">335.7 MB</span></div>
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<div class="models-file"><span class="models-file-path">.cache/huggingface/CACHEDIR.TAG</span><span class="models-file-size">191.0 B</span></div>
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<div class="models-file"><span class="models-file-path">.cache/huggingface/download/dino_salad.safetensors.metadata</span><span class="models-file-size">123.0 B</span></div>
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<div class="models-file"><span class="models-file-path">.cache/huggingface/.gitignore</span><span class="models-file-size">1.0 B</span></div>
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</div>
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</details>
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</div>
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</div>
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<div class="lightbox" id="lightbox">
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<button class="lightbox-close" onclick="closeLightbox()">×</button>
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<button class="lightbox-nav lightbox-nav-left" onclick="navigateLightbox(-1)">‹</button>
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<button class="lightbox-nav lightbox-nav-right" onclick="navigateLightbox(1)">›</button>
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<div class="lightbox-content">
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<img id="lightbox-img" src="" alt="">
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<video id="lightbox-video" controls preload="metadata" style="display:none; max-width:90vw; max-height:80vh; background:#000;"></video>
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<div class="video-player" id="video-player">
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<div class="video-slider-container">
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<div id="video-slider"></div>
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</div>
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<div class="video-controls">
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<span class="video-frame-counter" id="video-frame-counter">0.0s / 0.0s</span>
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</div>
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</div>
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<div class="resource-graph" id="resource-graph">
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<div class="resource-graph-title">Resource Usage</div>
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<canvas id="resource-canvas"></canvas>
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<div class="resource-legend">
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<span><span class="dot ram"></span> RAM (GB)</span>
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<span id="gpu-legend" style="display:none"><span class="dot gpu"></span> VRAM (GB)</span>
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</div>
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</div>
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<div class="lightbox-info">
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<div>
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<span class="lightbox-title" id="lightbox-title"></span>
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<span class="lightbox-hardware" id="lightbox-hardware"></span>
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Generated by <a href="https://github.com/PozzettiAndrea/comfy-test">comfy-test</a>
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const workflowData = {"advanced": {"src": "screenshots/advanced_executed.png", "title": "advanced", "status": "pass", "duration": "34.26", "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 Queuing workflow for execution...\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 [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: 9895e5dd-9a97-44c3-8219-0706afc20ee7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1117/ComfyUI'}\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_bdf53b82d7c9']...\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_bdf53b82d7c9 (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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=2.4s)\n [capture-periodic] freeze=2ms shot=130ms unfreeze=4ms saved=True\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=136ms unfreeze=4ms 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 [00:03<01:10, 22.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (18%) swap=1.8/32.0GB (6%) cpu=8% browser_rss=0.85GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 16%|\u2588\u258b | 268M/1.64G [00:04<00:18, 73.8MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 4 saved (frame_003.jpg, t=6.9s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=2ms saved=True\n Frame 5 saved (frame_004.jpg, t=9.2s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 20%|\u2588\u2588 | 335M/1.64G [00:07<00:27, 47.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=11.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.7/23.4GB (20%) swap=1.8/32.0GB (6%) cpu=10% browser_rss=0.85GB\n Frame 6 saved (frame_005.jpg, t=11.4s)\n [capture-periodic] freeze=1ms shot=128ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 24%|\u2588\u2588\u258d | 402M/1.64G [00:09<00:30, 40.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:10<00:20, 53.6MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 41%|\u2588\u2588\u2588\u2588 | 671M/1.64G [00:11<00:11, 82.7MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 7 saved (frame_006.jpg, t=13.7s)\n [capture-periodic] freeze=2ms shot=131ms unfreeze=2ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 53%|\u2588\u2588\u2588\u2588\u2588\u258e | 872M/1.64G [00:13<00:08, 90.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 8 saved (frame_007.jpg, t=16.0s)\n [capture-periodic] freeze=1ms shot=140ms unfreeze=4ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.07G/1.64G [00:13<00:04, 122MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 73%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.21G/1.64G [00:14<00:02, 154MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.27G/1.64G [00:14<00:02, 166MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=150 t=17.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=4.5/23.4GB (19%) swap=1.8/32.0GB (6%) cpu=12% browser_rss=0.86GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 90%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.48G/1.64G [00:14<00:00, 247MB/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 [00:14<00:00, 312MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 9 saved (frame_008.jpg, t=18.2s)\n [capture-periodic] freeze=2ms shot=141ms unfreeze=3ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.64G/1.64G [00:16<00:00, 99.3MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (19.02s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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 [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', 'parent_pid', 'fd', '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 [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 10 saved (frame_009.jpg, t=20.4s)\n [capture-periodic] freeze=1ms shot=124ms unfreeze=6ms saved=True\n [capture-loop] iter=200 t=22.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (19%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=0.86GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=2\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +202MB (now 202MB) reserved=224MB peak=202MB\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] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (5.57s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 3397 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n Node executed (1 total), capturing...\n [ComfyUI] Prompt executed in 24.87 seconds\n Frame 11 saved (frame_010.jpg, t=25.1s)\n [capture-node] freeze=17ms shot=163ms unfreeze=4ms saved=True\n Node executed (8 total), capturing...\n Frame 12 saved (frame_011.jpg, t=25.6s)\n [capture-node] freeze=2ms shot=154ms unfreeze=0ms saved=True\n Execution complete (t=25.6s)\n Captured 12 unique frames over 25.79s\n [debug] iframes: 0\n [timing] trigger_3d_previews: 0.0s\n Saved high-quality screenshot: advanced_executed.png\n [timing] final_screenshot: 0.3s\n Captured 13 video frames", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060"}}, "advanced_3d": {"src": "screenshots/advanced_3d_executed.png", "title": "advanced_3d", "status": "pass", "duration": "15.85", "log": "Capturing execution frames: advanced_3d.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_2586de009d89']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_2586de009d89 (abstract, no filesystem path)\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] call_id=3 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n Queuing workflow for execution...\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: 72f1792a-0a18-4121-af75-7f674bfccec4\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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=4 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=5 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.19s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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=6 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=2ms shot=141ms unfreeze=4ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=6\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +506MB (now 506MB) reserved=512MB peak=506MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=6\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (3.65s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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] [VRAM] Before DA3_ToPointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=7 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +286MB (now 792MB) reserved=1888MB peak=1489MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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 (0.18s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_ToPointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [VRAM] Before DA3_SavePointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=8 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311405, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311405, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311405]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311405])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311405, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311405, 3])\n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=117ms unfreeze=6ms saved=True\n [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=5.4/23.4GB (23%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=0.95GB\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (2.28s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_SavePointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/workspaces/DepthAnythingV3-1117/ComfyUI/output/pointclo..., color_mode: 'RGB'\n [ComfyUI] [VRAM] Before DA3_PreviewPointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=9 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.05s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_PreviewPointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] Prompt executed in 6.39 seconds\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 2725 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=10 sending model_to_device\n Node executed (2 total), capturing...\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -306MB (now 487MB) reserved=1888MB peak=1489MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB\n Frame 4 saved (frame_003.jpg, t=6.8s)\n [capture-node] freeze=1208ms shot=105ms unfreeze=0ms saved=True\n Execution complete (t=6.8s)\n Captured 4 unique frames over 8.18s\n [debug] iframes: 1\n [debug] iframe[0]: src=http://127.0.0.1:41899/extensions/ComfyUI-DepthAnythingV3/viewer_vtk.html?v=1778, canvas=486x394, rafFrozen=True\n [timing] trigger_3d_previews: 0.0s\n Saved high-quality screenshot: advanced_3d_executed.png\n [timing] final_screenshot: 0.3s\n Captured 5 video frames", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060"}}, "advanced_3d_multiview": {"src": "screenshots/advanced_3d_multiview_executed.png", "title": "advanced_3d_multiview", "status": "pass", "duration": "15.27", "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 Queuing workflow for execution...\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 [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: 2162fee5-9056-41ab-88a5-dedfb7cab6ff\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n Node executed (1 total), capturing...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_35a09257750f']...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_35a09257750f (abstract, no filesystem path)\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n Frame 2 saved (frame_001.jpg, t=0.6s)\n [capture-node] freeze=2ms shot=126ms unfreeze=6ms saved=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=11 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=12 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.79s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnythingV3_MultiView: 729 / 7672 MB\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=13 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 3 saved (frame_002.jpg, t=2.8s)\n [capture-periodic] freeze=1ms shot=135ms unfreeze=5ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=13\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +524MB (now 524MB) reserved=544MB peak=524MB\n Frame 4 saved (frame_003.jpg, t=5.1s)\n [capture-periodic] freeze=2ms shot=147ms unfreeze=5ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +286MB (now 810MB) reserved=2912MB peak=1521MB\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (3.85s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnythingV3_MultiView: 3749 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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] [VRAM] Before DepthAnythingV3_MultiView: 3749 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=14 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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=14\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 4.11GB\n [ComfyUI] [comfy-env] VRAM after eviction: 4.11GB\n [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.4/23.4GB (23%) swap=1.8/32.0GB (6%) cpu=15% browser_rss=1.00GB\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (0.62s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnythingV3_MultiView: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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] [VRAM] Before DA3_MultiViewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=15 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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=15\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_MultiViewPointCloud done (0.08s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_MultiViewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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] [VRAM] Before DA3_MultiViewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=16 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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=16\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_MultiViewPointCloud done (0.08s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_MultiViewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [VRAM] Before DA3_SavePointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=17 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18821, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18821, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18821, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18821, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18821]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18821])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18821]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18821])\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (0.17s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_SavePointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [VRAM] Before DA3_SavePointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=18 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[20448, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([20448, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[20448, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([20448, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[20448]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([20448])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[20448]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([20448])\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (0.17s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_SavePointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/workspaces/DepthAnythingV3-1117/ComfyUI/output/pointclo..., color_mode: 'RGB'\n [ComfyUI] [VRAM] Before DA3_PreviewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=19 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.01s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_PreviewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/workspaces/DepthAnythingV3-1117/ComfyUI/output/pointclo..., color_mode: 'RGB'\n [ComfyUI] [VRAM] Before DA3_PreviewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=20 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.01s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_PreviewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] Prompt executed in 6.99 seconds\n Node executed (4 total), capturing...\n Frame 5 saved (frame_004.jpg, t=7.4s)\n [capture-node] freeze=2ms shot=187ms unfreeze=4ms saved=True\n Execution complete (t=7.7s)\n Captured 5 unique frames over 7.73s\n [debug] iframes: 1\n [debug] iframe[0]: src=http://127.0.0.1:41899/extensions/ComfyUI-DepthAnythingV3/viewer_vtk.html?v=1778, canvas=486x394, rafFrozen=False\n [timing] trigger_3d_previews: 0.0s\n Saved high-quality screenshot: advanced_3d_multiview_executed.png\n [timing] final_screenshot: 0.3s\n Captured 6 video frames", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060"}}, "bas_relief": {"src": "", "title": "bas_relief", "status": "fail", "duration": "12.64", "log": " [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3621 / 7672 MB\nCapturing execution frames: bas_relief.json\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=21 sending model_to_device\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -292MB (now 519MB) reserved=2784MB peak=1521MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB\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\": \"bas_relief.png\"}\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n Queuing workflow for execution...\n [ComfyUI] Node 21: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": true, \"da3_model\": [\"3\", 0], \"images\": [\"2\", 0]}\n [ComfyUI] Node 27: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"21\", 2]}\n [ComfyUI] Node 30: Preview3D\n [ComfyUI] Inputs: {\"model_file\": [\"32\", 0], \"image\": \"\"}\n [ComfyUI] Node 32: DA3_ToMesh\n [ComfyUI] Inputs: {\"confidence_threshold\": 0.1, \"depth_edge_threshold\": 0.1, \"downsample\": 1, \"target_faces\": 100000, \"filename_prefix\": \"mesh\", \"allow_around_1\": true, \"use_draco_compression\": false, \"depth_raw\": [\"21\n [ComfyUI] Generated prompt_id: 2f0ae17a-25ae-4c87-acd3-f58d6a44622e\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_fce7f5cecb83']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_fce7f5cecb83 (abstract, no filesystem path)\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=22 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=23 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.64s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: True, da3_model: dict, images: torch.float32 [1,2000,1336,3] cpu\n [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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, 2000, 1336, 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=24 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 2000, 1336, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2000, 1336, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=1ms shot=155ms unfreeze=2ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=24\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +530MB (now 530MB) reserved=544MB peak=530MB\n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=180ms unfreeze=3ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +808MB (now 1339MB) reserved=1504MB peak=1339MB\n [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=5.4/23.4GB (23%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=1.05GB\n [ComfyUI] [SubprocessWorker] got response: error\n [ComfyUI] !!! Exception during processing !!! Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 4.33 GiB\n [ComfyUI] Requested : 1.27 GiB\n [ComfyUI] Device limit : 7.49 GiB\n [ComfyUI] Free (according to CUDA): 117.44 MiB\n [ComfyUI] PyTorch limit (set by user-supplied memory fraction)\n [ComfyUI] : 17179869184.00 GiB\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 156, in execute\n [ComfyUI] output = model(img, extrinsics=ext_i, intrinsics=int_i, infer_gs=infer_gs)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577, in forward\n [ComfyUI] output = self._process_depth_head(feats, H, W)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1591, in _process_depth_head\n [ComfyUI] return self.head(feats, H, W, patch_start_idx=0)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1366, in forward\n [ComfyUI] out_dict = self._forward_impl(feats, H, W, patch_start_idx)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1419, in _forward_impl\n [ComfyUI] fused_main = self._add_pos_embed(fused_main, W, H)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1477, in _add_pos_embed\n [ComfyUI] pe = position_grid_to_embed(pe, x.shape[1]) * ratio\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 131, in position_grid_to_embed\n [ComfyUI] emb = torch.cat([emb_x, emb_y], dim=-1)\n [ComfyUI] torch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 4.33 GiB\n [ComfyUI] Requested : 1.27 GiB\n [ComfyUI] Device limit : 7.49 GiB\n [ComfyUI] Free (according to CUDA): 117.44 MiB\n [ComfyUI] PyTorch limit (set by user-supplied memory fraction)\n [ComfyUI] : 17179869184.00 GiB\n [ComfyUI] \n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\n [ComfyUI] raise WorkerError(\n [ComfyUI] comfy_env.isolation.workers.base.WorkerError: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 4.33 GiB\n [ComfyUI] Requested : 1.27 GiB\n [ComfyUI] Device limit : 7.49 GiB\n [ComfyUI] Free (according to CUDA): 117.44 MiB\n [ComfyUI] PyTorch limit (set by user-supplied memory fraction)\n [ComfyUI] : 17179869184.00 GiB\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 156, in execute\n [ComfyUI] output = model(img, extrinsics=ext_i, intrinsics=int_i, infer_gs=infer_gs)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577, in forward\n [ComfyUI] output = self._process_depth_head(feats, H, W)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1591, in _process_depth_head\n [ComfyUI] return self.head(feats, H, W, patch_start_idx=0)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1366, in forward\n [ComfyUI] out_dict = self._forward_impl(feats, H, W, patch_start_idx)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1419, in _forward_impl\n [ComfyUI] fused_main = self._add_pos_embed(fused_main, W, H)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1477, in _add_pos_embed\n [ComfyUI] pe = position_grid_to_embed(pe, x.shape[1]) * ratio\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 131, in position_grid_to_embed\n [ComfyUI] emb = torch.cat([emb_x, emb_y], dim=-1)\n [ComfyUI] torch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 4.33 GiB\n [ComfyUI] Requested : 1.27 GiB\n [ComfyUI] Device limit : 7.49 GiB\n [ComfyUI] Free (according to CUDA): 117.44 MiB\n [ComfyUI] PyTorch limit (set by user-supplied memory fraction)\n [ComfyUI] : 17179869184.00 GiB\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Prompt executed in 6.13 seconds\n Execution complete (t=6.7s)\n Execution error: {'prompt_id': 'cc73b4a4-6f9f-42db-b94b-ee5b9b17d965', 'node_id': '21', 'node_type': 'DepthAnything_V3', 'executed': ['2', '3'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.33 GiB\\nRequested : 1.27 GiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 117.44 MiB\\nPyTorch limit (set by user-supplied memory fraction)\\n : 17179869184.00 GiB\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 156, in execute\\n output = model(img, extrinsics=ext_i, intrinsics=int_i, infer_gs=infer_gs)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577, in forward\\n output = self._process_depth_head(feats, H, W)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1591, in _process_depth_head\\n return self.head(feats, H, W, patch_start_idx=0)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1366, in forward\\n out_dict = self._forward_impl(feats, H, W, patch_start_idx)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1419, in _forward_impl\\n fused_main = self._add_pos_embed(fused_main, W, H)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1477, in _add_pos_embed\\n pe = position_grid_to_embed(pe, x.shape[1]) * ratio\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 131, in position_grid_to_embed\\n emb = torch.cat([emb_x, emb_y], dim=-1)\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.33 GiB\\nRequested : 1.27 GiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 117.44 MiB\\nPyTorch limit (set by user-supplied memory fraction)\\n : 17179869184.00 GiB\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n', ' File \"/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'normalization_mode': ['Raw'], 'resize_method': ['resize'], 'invert_depth': [False], 'keep_model_size': [True], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1117/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'images': ['tensor([[[[0.5922, 0.4510, 0.2863],\\n [0.5922, 0.4588, 0.2902],\\n [0.5529, 0.4235, 0.2667],\\n [0.5176, 0.3922, 0.2588],\\n [0.5059, 0.3882, 0.2706],\\n [0.4863, 0.3765, 0.2549],\\n ...,\\n [0.5608, 0.4471, 0.3059],\\n [0.5608, 0.4471, 0.3098],\\n [0.5490, 0.4471, 0.3255],\\n [0.5373, 0.4510, 0.3373],\\n [0.5176, 0.4392, 0.3216],\\n [0.5059, 0.4314, 0.3216]],\\n\\n [[0.5686, 0.4235, 0.2745],\\n [0.5451, 0.4157, 0.2627],\\n [0.5373, 0.4078, 0.2627],\\n [0.5216, 0.4000, 0.2667],\\n [0.5020, 0.3843, 0.2627],\\n [0.5020, 0.3843, 0.2706],\\n ...,\\n [0.5608, 0.4471, 0.3020],\\n [0.5647, 0.4549, 0.3098],\\n [0.5647, 0.4627, 0.3373],\\n [0.5412, 0.4549, 0.3451],\\n [0.5137, 0.4392, 0.3294],\\n [0.5020, 0.4314, 0.3255]],\\n\\n [[0.4745, 0.3529, 0.2235],\\n [0.4706, 0.3569, 0.2235],\\n [0.4745, 0.3647, 0.2392],\\n [0.4824, 0.3686, 0.2431],\\n [0.4824, 0.3686, 0.2471],\\n [0.4941, 0.3843, 0.2627],\\n ...,\\n [0.5647, 0.4471, 0.3059],\\n [0.5686, 0.4549, 0.3176],\\n [0.5529, 0.4510, 0.3255],\\n [0.5255, 0.4314, 0.3294],\\n [0.5255, 0.4471, 0.3412],\\n [0.5059, 0.4353, 0.3216]],\\n\\n [[0.4000, 0.2902, 0.1765],\\n [0.3882, 0.2863, 0.1725],\\n [0.3647, 0.2627, 0.1529],\\n [0.3961, 0.2902, 0.1804],\\n [0.4627, 0.3569, 0.2392],\\n [0.4941, 0.3882, 0.2627],\\n ...,\\n [0.5765, 0.4588, 0.3255],\\n [0.5765, 0.4667, 0.3255],\\n [0.5686, 0.4588, 0.3294],\\n [0.5451, 0.4510, 0.3333],\\n [0.5333, 0.4510, 0.3412],\\n [0.5294, 0.4471, 0.3333]],\\n\\n [[0.5098, 0.3882, 0.2627],\\n [0.5176, 0.4000, 0.2706],\\n [0.5059, 0.3843, 0.2627],\\n [0.4745, 0.3569, 0.2392],\\n [0.4706, 0.3647, 0.2431],\\n [0.4902, 0.3804, 0.2627],\\n ...,\\n [0.5804, 0.4706, 0.3373],\\n [0.5647, 0.4549, 0.3176],\\n [0.5804, 0.4627, 0.3255],\\n [0.5608, 0.4510, 0.3216],\\n [0.5294, 0.4392, 0.3216],\\n [0.5412, 0.4471, 0.3451]],\\n\\n [[0.4980, 0.3686, 0.2392],\\n [0.5490, 0.4275, 0.2863],\\n [0.5294, 0.4196, 0.2863],\\n [0.4745, 0.3569, 0.2314],\\n [0.4745, 0.3647, 0.2392],\\n [0.4980, 0.3922, 0.2667],\\n ...,\\n [0.5529, 0.4471, 0.3137],\\n [0.5569, 0.4431, 0.3137],\\n [0.5725, 0.4549, 0.3176],\\n [0.5569, 0.4471, 0.3020],\\n [0.5569, 0.4549, 0.3137],\\n [0.5451, 0.4431, 0.3294]],\\n\\n ...,\\n\\n [[0.5765, 0.4824, 0.3725],\\n [0.5725, 0.4824, 0.3686],\\n [0.5686, 0.4745, 0.3608],\\n [0.5490, 0.4471, 0.3216],\\n [0.5373, 0.4235, 0.2902],\\n [0.5294, 0.4118, 0.2784],\\n ...,\\n [0.5373, 0.4196, 0.2745],\\n [0.5765, 0.4471, 0.3020],\\n [0.5333, 0.4000, 0.2588],\\n [0.5647, 0.4353, 0.2784],\\n [0.5608, 0.4275, 0.2627],\\n [0.6000, 0.4588, 0.3059]],\\n\\n [[0.5451, 0.4471, 0.3373],\\n [0.5647, 0.4706, 0.3569],\\n [0.5608, 0.4627, 0.3490],\\n [0.5255, 0.4196, 0.2980],\\n [0.5255, 0.4078, 0.2784],\\n [0.5176, 0.3961, 0.2627],\\n ...,\\n [0.5255, 0.4039, 0.2549],\\n [0.5490, 0.4275, 0.2706],\\n [0.5333, 0.4039, 0.2510],\\n [0.5490, 0.4157, 0.2706],\\n [0.5647, 0.4314, 0.2784],\\n [0.5961, 0.4588, 0.2980]],\\n\\n [[0.5529, 0.4510, 0.3294],\\n [0.5490, 0.4431, 0.3176],\\n [0.5686, 0.4588, 0.3373],\\n [0.5412, 0.4275, 0.3059],\\n [0.5412, 0.4275, 0.2980],\\n [0.5333, 0.4157, 0.2824],\\n ...,\\n [0.5569, 0.4235, 0.2863],\\n [0.5608, 0.4353, 0.2980],\\n [0.5490, 0.4157, 0.2824],\\n [0.5608, 0.4196, 0.2863],\\n [0.5647, 0.4314, 0.2863],\\n [0.5922, 0.4588, 0.3098]],\\n\\n [[0.5294, 0.4196, 0.3059],\\n [0.5333, 0.4275, 0.2941],\\n [0.5412, 0.4235, 0.2941],\\n [0.5333, 0.4118, 0.2902],\\n [0.5373, 0.4196, 0.2941],\\n [0.5294, 0.4118, 0.2902],\\n ...,\\n [0.5765, 0.4431, 0.3137],\\n [0.5765, 0.4471, 0.3176],\\n [0.5490, 0.4118, 0.2824],\\n [0.5647, 0.4275, 0.2863],\\n [0.5765, 0.4431, 0.2941],\\n [0.5765, 0.4353, 0.2863]],\\n\\n [[0.5176, 0.4078, 0.2902],\\n [0.5412, 0.4392, 0.3098],\\n [0.5098, 0.3922, 0.2745],\\n [0.5098, 0.3922, 0.2706],\\n [0.5255, 0.4078, 0.2902],\\n [0.5137, 0.4000, 0.2824],\\n ...,\\n [0.5608, 0.4235, 0.2941],\\n [0.5765, 0.4353, 0.3059],\\n [0.5451, 0.4078, 0.2627],\\n [0.5451, 0.4078, 0.2549],\\n [0.5451, 0.4000, 0.2471],\\n [0.5255, 0.3686, 0.2157]],\\n\\n [[0.5176, 0.4196, 0.3098],\\n [0.5725, 0.4667, 0.3569],\\n [0.5490, 0.4392, 0.3294],\\n [0.5412, 0.4353, 0.3137],\\n [0.5373, 0.4275, 0.3059],\\n [0.5176, 0.4039, 0.2863],\\n ...,\\n [0.5647, 0.4314, 0.2980],\\n [0.5529, 0.4118, 0.2745],\\n [0.5098, 0.3686, 0.2196],\\n [0.5373, 0.3882, 0.2353],\\n [0.5176, 0.3647, 0.2078],\\n [0.4745, 0.3176, 0.1765]]]])']}, 'current_outputs': ['27', '3', '30', '21', '2', '32'], 'timestamp': 1778844200960}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'cc73b4a4-6f9f-42db-b94b-ee5b9b17d965', 'node_id': '21', 'node_type': 'DepthAnything_V3', 'executed': ['2', '3'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.33 GiB\\nRequested : 1.27 GiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 117.44 MiB\\nPyTorch limit (set by user-supplied memory fraction)\\n : 17179869184.00 GiB\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 156, in execute\\n output = model(img, extrinsics=ext_i, intrinsics=int_i, infer_gs=infer_gs)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577, in forward\\n output = self._process_depth_head(feats, H, W)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1591, in _process_depth_head\\n return self.head(feats, H, W, patch_start_idx=0)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1366, in forward\\n out_dict = self._forward_impl(feats, H, W, patch_start_idx)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1419, in _forward_impl\\n fused_main = self._add_pos_embed(fused_main, W, H)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1477, in _add_pos_embed\\n pe = position_grid_to_embed(pe, x.shape[1]) * ratio\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 131, in position_grid_to_embed\\n emb = torch.cat([emb_x, emb_y], dim=-1)\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.33 GiB\\nRequested : 1.27 GiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 117.44 MiB\\nPyTorch limit (set by user-supplied memory fraction)\\n : 17179869184.00 GiB\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n', ' File \"/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'normalization_mode': ['Raw'], 'resize_method': ['resize'], 'invert_depth': [False], 'keep_model_size': [True], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1117/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'images': ['tensor([[[[0.5922, 0.4510, 0.2863],\\n [0.5922, 0.4588, 0.2902],\\n [0.5529, 0.4235, 0.2667],\\n [0.5176, 0.3922, 0.2588],\\n [0.5059, 0.3882, 0.2706],\\n [0.4863, 0.3765, 0.2549],\\n ...,\\n [0.5608, 0.4471, 0.3059],\\n [0.5608, 0.4471, 0.3098],\\n [0.5490, 0.4471, 0.3255],\\n [0.5373, 0.4510, 0.3373],\\n [0.5176, 0.4392, 0.3216],\\n [0.5059, 0.4314, 0.3216]],\\n\\n [[0.5686, 0.4235, 0.2745],\\n [0.5451, 0.4157, 0.2627],\\n [0.5373, 0.4078, 0.2627],\\n [0.5216, 0.4000, 0.2667],\\n [0.5020, 0.3843, 0.2627],\\n [0.5020, 0.3843, 0.2706],\\n ...,\\n [0.5608, 0.4471, 0.3020],\\n [0.5647, 0.4549, 0.3098],\\n [0.5647, 0.4627, 0.3373],\\n [0.5412, 0.4549, 0.3451],\\n [0.5137, 0.4392, 0.3294],\\n [0.5020, 0.4314, 0.3255]],\\n\\n [[0.4745, 0.3529, 0.2235],\\n [0.4706, 0.3569, 0.2235],\\n [0.4745, 0.3647, 0.2392],\\n [0.4824, 0.3686, 0.2431],\\n [0.4824, 0.3686, 0.2471],\\n [0.4941, 0.3843, 0.2627],\\n ...,\\n [0.5647, 0.4471, 0.3059],\\n [0.5686, 0.4549, 0.3176],\\n [0.5529, 0.4510, 0.3255],\\n [0.5255, 0.4314, 0.3294],\\n [0.5255, 0.4471, 0.3412],\\n [0.5059, 0.4353, 0.3216]],\\n\\n [[0.4000, 0.2902, 0.1765],\\n [0.3882, 0.2863, 0.1725],\\n [0.3647, 0.2627, 0.1529],\\n [0.3961, 0.2902, 0.1804],\\n [0.4627, 0.3569, 0.2392],\\n [0.4941, 0.3882, 0.2627],\\n ...,\\n [0.5765, 0.4588, 0.3255],\\n [0.5765, 0.4667, 0.3255],\\n [0.5686, 0.4588, 0.3294],\\n [0.5451, 0.4510, 0.3333],\\n [0.5333, 0.4510, 0.3412],\\n [0.5294, 0.4471, 0.3333]],\\n\\n [[0.5098, 0.3882, 0.2627],\\n [0.5176, 0.4000, 0.2706],\\n [0.5059, 0.3843, 0.2627],\\n [0.4745, 0.3569, 0.2392],\\n [0.4706, 0.3647, 0.2431],\\n [0.4902, 0.3804, 0.2627],\\n ...,\\n [0.5804, 0.4706, 0.3373],\\n [0.5647, 0.4549, 0.3176],\\n [0.5804, 0.4627, 0.3255],\\n [0.5608, 0.4510, 0.3216],\\n [0.5294, 0.4392, 0.3216],\\n [0.5412, 0.4471, 0.3451]],\\n\\n [[0.4980, 0.3686, 0.2392],\\n [0.5490, 0.4275, 0.2863],\\n [0.5294, 0.4196, 0.2863],\\n [0.4745, 0.3569, 0.2314],\\n [0.4745, 0.3647, 0.2392],\\n [0.4980, 0.3922, 0.2667],\\n ...,\\n [0.5529, 0.4471, 0.3137],\\n [0.5569, 0.4431, 0.3137],\\n [0.5725, 0.4549, 0.3176],\\n [0.5569, 0.4471, 0.3020],\\n [0.5569, 0.4549, 0.3137],\\n [0.5451, 0.4431, 0.3294]],\\n\\n ...,\\n\\n [[0.5765, 0.4824, 0.3725],\\n [0.5725, 0.4824, 0.3686],\\n [0.5686, 0.4745, 0.3608],\\n [0.5490, 0.4471, 0.3216],\\n [0.5373, 0.4235, 0.2902],\\n [0.5294, 0.4118, 0.2784],\\n ...,\\n [0.5373, 0.4196, 0.2745],\\n [0.5765, 0.4471, 0.3020],\\n [0.5333, 0.4000, 0.2588],\\n [0.5647, 0.4353, 0.2784],\\n [0.5608, 0.4275, 0.2627],\\n [0.6000, 0.4588, 0.3059]],\\n\\n [[0.5451, 0.4471, 0.3373],\\n [0.5647, 0.4706, 0.3569],\\n [0.5608, 0.4627, 0.3490],\\n [0.5255, 0.4196, 0.2980],\\n [0.5255, 0.4078, 0.2784],\\n [0.5176, 0.3961, 0.2627],\\n ...,\\n [0.5255, 0.4039, 0.2549],\\n [0.5490, 0.4275, 0.2706],\\n [0.5333, 0.4039, 0.2510],\\n [0.5490, 0.4157, 0.2706],\\n [0.5647, 0.4314, 0.2784],\\n [0.5961, 0.4588, 0.2980]],\\n\\n [[0.5529, 0.4510, 0.3294],\\n [0.5490, 0.4431, 0.3176],\\n [0.5686, 0.4588, 0.3373],\\n [0.5412, 0.4275, 0.3059],\\n [0.5412, 0.4275, 0.2980],\\n [0.5333, 0.4157, 0.2824],\\n ...,\\n [0.5569, 0.4235, 0.2863],\\n [0.5608, 0.4353, 0.2980],\\n [0.5490, 0.4157, 0.2824],\\n [0.5608, 0.4196, 0.2863],\\n [0.5647, 0.4314, 0.2863],\\n [0.5922, 0.4588, 0.3098]],\\n\\n [[0.5294, 0.4196, 0.3059],\\n [0.5333, 0.4275, 0.2941],\\n [0.5412, 0.4235, 0.2941],\\n [0.5333, 0.4118, 0.2902],\\n [0.5373, 0.4196, 0.2941],\\n [0.5294, 0.4118, 0.2902],\\n ...,\\n [0.5765, 0.4431, 0.3137],\\n [0.5765, 0.4471, 0.3176],\\n [0.5490, 0.4118, 0.2824],\\n [0.5647, 0.4275, 0.2863],\\n [0.5765, 0.4431, 0.2941],\\n [0.5765, 0.4353, 0.2863]],\\n\\n [[0.5176, 0.4078, 0.2902],\\n [0.5412, 0.4392, 0.3098],\\n [0.5098, 0.3922, 0.2745],\\n [0.5098, 0.3922, 0.2706],\\n [0.5255, 0.4078, 0.2902],\\n [0.5137, 0.4000, 0.2824],\\n ...,\\n [0.5608, 0.4235, 0.2941],\\n [0.5765, 0.4353, 0.3059],\\n [0.5451, 0.4078, 0.2627],\\n [0.5451, 0.4078, 0.2549],\\n [0.5451, 0.4000, 0.2471],\\n [0.5255, 0.3686, 0.2157]],\\n\\n [[0.5176, 0.4196, 0.3098],\\n [0.5725, 0.4667, 0.3569],\\n [0.5490, 0.4392, 0.3294],\\n [0.5412, 0.4353, 0.3137],\\n [0.5373, 0.4275, 0.3059],\\n [0.5176, 0.4039, 0.2863],\\n ...,\\n [0.5647, 0.4314, 0.2980],\\n [0.5529, 0.4118, 0.2745],\\n [0.5098, 0.3686, 0.2196],\\n [0.5373, 0.3882, 0.2353],\\n [0.5176, 0.3647, 0.2078],\\n [0.4745, 0.3176, 0.1765]]]])']}, 'current_outputs': ['27', '3', '30', '21', '2', '32'], 'timestamp': 1778844200960}\n Details: Workflow: /node/ComfyUI-DepthAnythingV3/workflows/bas_relief.json\nNode error: DepthAnything_V3", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060"}}, "da3_streaming": {"src": "", "title": "da3_streaming", "status": "fail", "duration": "30.24", "log": "Capturing execution frames: da3_streaming.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 5 nodes\n [ComfyUI] Node 2: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_large.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 3: LoadVideo\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"file\": \"robot_unitree.mp4\", \"video-preview\": \"\"}\n [ComfyUI] Node 4: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/preview_da3\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"6\", 0]}\n [ComfyUI] Node 5: LoadSALADModel\n [ComfyUI] Inputs: {}\n [ComfyUI] Node 6: DepthAnythingV3_Streaming\n [ComfyUI] Inputs: {\"normalization_mode\": \"Standard\", \"chunk_size\": 30, \"overlap\": 8, \"align_lib\": \"auto\", \"align_method\": \"sim3\", \"resize_method\": \"resize\", \"invert_depth\": true, \"save_pointcloud\": false, \"sample_ratio\n [ComfyUI] Generated prompt_id: adf9a7ad-9ca8-4984-a135-fcfc0e1b446c\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 LoadSALADModel:\n [ComfyUI] [VRAM] Before LoadSALADModel: 7555 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.LoadSALADModel.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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_3210662c8a01']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_3210662c8a01 (abstract, no filesystem path)\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] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=25 sending call_method\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 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=1ms shot=109ms unfreeze=5ms saved=True\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=2ms shot=146ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=5.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=1 ram=4.8/23.4GB (21%) swap=1.8/32.0GB (6%) cpu=11% browser_rss=1.02GB\n [ComfyUI] dino_salad.safetensors: 0%| | 0.00/352M [00:00<?, ?B/s]\n [ComfyUI] dino_salad.safetensors: 63%|\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 223M/352M [00:04<00:02, 49.4MB/s][SubprocessWorker] callback 'report_progress' from call_id=25\n [ComfyUI] \n [ComfyUI] dino_salad.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 352M/352M [00:04<00:00, 85.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=25\n [ComfyUI] \n [ComfyUI] dino_salad.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 352M/352M [00:04<00:00, 74.7MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] LoadSALADModel done (6.85s): result: NodeOutput\n [ComfyUI] [VRAM] After LoadSALADModel: 729 / 7672 MB\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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=26 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.02s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\n [ComfyUI] [comfy-env] Running DepthAnythingV3_Streaming: normalization_mode: 'Standard', chunk_size: 30, overlap: 8, align_lib: 'auto', align_method: 'sim3', resize_method: 'resize', invert_depth: True, save_pointcloud: False, sample_ratio: 0.015, conf_threshold_coef: 0.75, da3_model: dict, video: VideoFromFile, salad_model: dict\n [ComfyUI] [VRAM] Before DepthAnythingV3_Streaming: 729 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.streaming.node.DepthAnythingV3_Streaming.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 1 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=27 sending call_method\n Frame 4 saved (frame_003.jpg, t=9.0s)\n [capture-periodic] freeze=1ms shot=120ms unfreeze=5ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n [capture-loop] iter=100 t=11.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=6.3/23.4GB (27%) swap=1.8/32.0GB (6%) cpu=14% browser_rss=1.00GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=27\n [ComfyUI] [comfy-env] VRAM request: 1.17GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +216MB (now 216MB) reserved=224MB peak=216MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +903MB (now 1119MB) reserved=1120MB peak=1119MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=27\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +554MB (now 1673MB) reserved=1696MB peak=1673MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +961MB (now 2635MB) reserved=4032MB peak=2635MB\n [capture-loop] iter=150 t=16.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=7.4/23.4GB (32%) swap=1.8/32.0GB (6%) cpu=15% browser_rss=0.90GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +350MB (now 2986MB) reserved=4576MB peak=2986MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +350MB (now 3337MB) reserved=4992MB peak=3337MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +350MB (now 3688MB) reserved=5408MB peak=3688MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +579MB (now 4267MB) reserved=4512MB peak=4267MB\n [capture-loop] iter=200 t=22.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=7.4/23.4GB (32%) swap=1.8/32.0GB (6%) cpu=12% browser_rss=0.90GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +206MB (now 4473MB) reserved=5536MB peak=4473MB\n [ComfyUI] [SubprocessWorker] got response: error\n [ComfyUI] !!! Exception during processing !!! Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 4.85 GiB\n [ComfyUI] Requested : 286.44 MiB\n [ComfyUI] Device limit : 7.49 GiB\n [ComfyUI] Free (according to CUDA): 117.44 MiB\n [ComfyUI] PyTorch limit (set by user-supplied memory fraction)\n [ComfyUI] : 17179869184.00 GiB\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py\", line 249, in execute\n [ComfyUI] result = pipeline.run(normalized_images, pbar=pbar,\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 277, in run\n [ComfyUI] result = self._process_chunk(normalized_images, start, end)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 330, in _process_chunk\n [ComfyUI] output = self.model(chunk_input)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577, in forward\n [ComfyUI] output = self._process_depth_head(feats, H, W)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1591, in _process_depth_head\n [ComfyUI] return self.head(feats, H, W, patch_start_idx=0)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1379, in forward\n [ComfyUI] self._forward_impl([feat[s0:s1] for feat in feats], H, W, patch_start_idx)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1419, in _forward_impl\n [ComfyUI] fused_main = self._add_pos_embed(fused_main, W, H)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1477, in _add_pos_embed\n [ComfyUI] pe = position_grid_to_embed(pe, x.shape[1]) * ratio\n [ComfyUI] torch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 4.85 GiB\n [ComfyUI] Requested : 286.44 MiB\n [ComfyUI] Device limit : 7.49 GiB\n [ComfyUI] Free (according to CUDA): 117.44 MiB\n [ComfyUI] PyTorch limit (set by user-supplied memory fraction)\n [ComfyUI] : 17179869184.00 GiB\n [ComfyUI] \n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\n [ComfyUI] raise WorkerError(\n [ComfyUI] comfy_env.isolation.workers.base.WorkerError: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 4.85 GiB\n [ComfyUI] Requested : 286.44 MiB\n [ComfyUI] Device limit : 7.49 GiB\n [ComfyUI] Free (according to CUDA): 117.44 MiB\n [ComfyUI] PyTorch limit (set by user-supplied memory fraction)\n [ComfyUI] : 17179869184.00 GiB\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py\", line 249, in execute\n [ComfyUI] result = pipeline.run(normalized_images, pbar=pbar,\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 277, in run\n [ComfyUI] result = self._process_chunk(normalized_images, start, end)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 330, in _process_chunk\n [ComfyUI] output = self.model(chunk_input)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577, in forward\n [ComfyUI] output = self._process_depth_head(feats, H, W)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1591, in _process_depth_head\n [ComfyUI] return self.head(feats, H, W, patch_start_idx=0)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1379, in forward\n [ComfyUI] self._forward_impl([feat[s0:s1] for feat in feats], H, W, patch_start_idx)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1419, in _forward_impl\n [ComfyUI] fused_main = self._add_pos_embed(fused_main, W, H)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1477, in _add_pos_embed\n [ComfyUI] pe = position_grid_to_embed(pe, x.shape[1]) * ratio\n [ComfyUI] torch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 4.85 GiB\n [ComfyUI] Requested : 286.44 MiB\n [ComfyUI] Device limit : 7.49 GiB\n [ComfyUI] Free (according to CUDA): 117.44 MiB\n [ComfyUI] PyTorch limit (set by user-supplied memory fraction)\n [ComfyUI] : 17179869184.00 GiB\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Prompt executed in 24.03 seconds\n Frame 5 saved (frame_004.jpg, t=24.5s)\n [capture-periodic] freeze=4ms shot=144ms unfreeze=3ms saved=True\n Execution complete (t=24.5s)\n Execution error: {'prompt_id': 'a98c7146-c59d-4e12-8908-79658ad8da0e', 'node_id': '6', 'node_type': 'DepthAnythingV3_Streaming', 'executed': ['2', '5', '3'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.85 GiB\\nRequested : 286.44 MiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 117.44 MiB\\nPyTorch limit (set by user-supplied memory fraction)\\n : 17179869184.00 GiB\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py\", line 249, in execute\\n result = pipeline.run(normalized_images, pbar=pbar,\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 277, in run\\n result = self._process_chunk(normalized_images, start, end)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 330, in _process_chunk\\n output = self.model(chunk_input)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577, in forward\\n output = self._process_depth_head(feats, H, W)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1591, in _process_depth_head\\n return self.head(feats, H, W, patch_start_idx=0)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1379, in forward\\n self._forward_impl([feat[s0:s1] for feat in feats], H, W, patch_start_idx)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1419, in _forward_impl\\n fused_main = self._add_pos_embed(fused_main, W, H)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1477, in _add_pos_embed\\n pe = position_grid_to_embed(pe, x.shape[1]) * ratio\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.85 GiB\\nRequested : 286.44 MiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 117.44 MiB\\nPyTorch limit (set by user-supplied memory fraction)\\n : 17179869184.00 GiB\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n', ' File \"/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'normalization_mode': ['Standard'], 'chunk_size': [30], 'overlap': [8], 'align_lib': ['auto'], 'align_method': ['sim3'], 'resize_method': ['resize'], 'invert_depth': [True], 'save_pointcloud': [False], 'sample_ratio': [0.015], 'conf_threshold_coef': [0.75], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1117/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'video': ['<comfy_api.latest._input_impl.video_types.VideoFromFile object at 0x798245e9b910>'], 'salad_model': [\"{'checkpoint_path': '/workspaces/DepthAnythingV3-1117/ComfyUI/models/salad/dino_salad.safetensors'}\"]}, 'current_outputs': ['4', '3', '6', '5', '2'], 'timestamp': 1778844231345}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'a98c7146-c59d-4e12-8908-79658ad8da0e', 'node_id': '6', 'node_type': 'DepthAnythingV3_Streaming', 'executed': ['2', '5', '3'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.85 GiB\\nRequested : 286.44 MiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 117.44 MiB\\nPyTorch limit (set by user-supplied memory fraction)\\n : 17179869184.00 GiB\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py\", line 249, in execute\\n result = pipeline.run(normalized_images, pbar=pbar,\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 277, in run\\n result = self._process_chunk(normalized_images, start, end)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 330, in _process_chunk\\n output = self.model(chunk_input)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577, in forward\\n output = self._process_depth_head(feats, H, W)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1591, in _process_depth_head\\n return self.head(feats, H, W, patch_start_idx=0)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1379, in forward\\n self._forward_impl([feat[s0:s1] for feat in feats], H, W, patch_start_idx)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1419, in _forward_impl\\n fused_main = self._add_pos_embed(fused_main, W, H)\\n File \"/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1477, in _add_pos_embed\\n pe = position_grid_to_embed(pe, x.shape[1]) * ratio\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 4.85 GiB\\nRequested : 286.44 MiB\\nDevice limit : 7.49 GiB\\nFree (according to CUDA): 117.44 MiB\\nPyTorch limit (set by user-supplied memory fraction)\\n : 17179869184.00 GiB\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1117/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n', ' File \"/workspaces/DepthAnythingV3-1117/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'normalization_mode': ['Standard'], 'chunk_size': [30], 'overlap': [8], 'align_lib': ['auto'], 'align_method': ['sim3'], 'resize_method': ['resize'], 'invert_depth': [True], 'save_pointcloud': [False], 'sample_ratio': [0.015], 'conf_threshold_coef': [0.75], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1117/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'video': ['<comfy_api.latest._input_impl.video_types.VideoFromFile object at 0x798245e9b910>'], 'salad_model': [\"{'checkpoint_path': '/workspaces/DepthAnythingV3-1117/ComfyUI/models/salad/dino_salad.safetensors'}\"]}, 'current_outputs': ['4', '3', '6', '5', '2'], 'timestamp': 1778844231345}\n Details: Workflow: /node/ComfyUI-DepthAnythingV3/workflows/da3_streaming.json\nNode error: DepthAnythingV3_Streaming", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060"}}, "simple": {"src": "screenshots/simple_executed.png", "title": "simple", "status": "pass", "duration": "13.76", "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] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadImage\n Queuing workflow for execution...\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\": [\"14\", 0]}\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] Generated prompt_id: 8fde4141-0ed0-42c5-b7ec-12f23fadac10\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 7555 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_1509bf607075']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_1509bf607075 (abstract, no filesystem path)\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=28 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.66s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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 [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=29 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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 [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=2ms shot=148ms unfreeze=5ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=29\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +542MB (now 542MB) reserved=544MB peak=542MB\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 Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=1ms shot=146ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=29\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +275MB (now 817MB) reserved=2560MB peak=1172MB\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (3.73s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 3397 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] Prompt executed in 5.46 seconds\n [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.5/23.4GB (24%) swap=1.8/32.0GB (6%) cpu=12% browser_rss=1.03GB\n Node executed (1 total), capturing...\n Frame 4 saved (frame_003.jpg, t=5.9s)\n [capture-node] freeze=2ms shot=194ms unfreeze=3ms saved=True\n Execution complete (t=6.3s)\n Captured 4 unique frames over 6.26s\n [debug] iframes: 0\n [timing] trigger_3d_previews: 0.0s\n Saved high-quality screenshot: simple_executed.png\n [timing] final_screenshot: 0.3s\n Captured 5 video frames", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060"}}, "video_multiview_depth": {"src": "screenshots/video_multiview_depth_executed.png", "title": "video_multiview_depth", "status": "pass", "duration": "27.10", "log": "Capturing execution frames: video_multiview_depth.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=30 sending model_to_device\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -314MB (now 503MB) reserved=2560MB peak=1172MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB\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 9 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_base.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 52: CreateVideo\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"62\", 0]}\n [ComfyUI] Node 53: CreateVideo\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"61\", 0]}\n [ComfyUI] Node 54: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"52\", 0]}\n [ComfyUI] Node 55: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"53\", 0]}\n [ComfyUI] Node 61: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 62: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 66: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"71\", 0]}\n [ComfyUI] Node 71: LoadImagesFromFolderKJ\n [ComfyUI] Inputs: {\"folder\": \"input/robotframes\", \"width\": 1024, \"height\": 576, \"keep_aspect_ratio\": \"crop\", \"image_load_cap\": 0, \"start_index\": 0, \"include_subfolders\": false}\n [ComfyUI] Generated prompt_id: fab90000-c57e-4990-bea5-49fbe0047fd7\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_base.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_d926b95c8750']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_d926b95c8750 (abstract, no filesystem path)\n Node executed (1 total), capturing...\n Frame 2 saved (frame_001.jpg, t=1.3s)\n [capture-node] freeze=2ms shot=105ms unfreeze=4ms saved=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=31 sending call_method\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=5.7s)\n [capture-periodic] freeze=1ms shot=127ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.0/23.4GB (21%) swap=1.8/32.0GB (6%) cpu=11% browser_rss=1.11GB\n [ComfyUI] model.safetensors: 0%| | 0.00/542M [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 12%|\u2588\u258f | 67.1M/542M [00:03<00:23, 20.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 25%|\u2588\u2588\u258d | 134M/542M [00:03<00:09, 44.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 50%|\u2588\u2588\u2588\u2588\u2589 | 268M/542M [00:04<00:03, 77.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n Frame 4 saved (frame_003.jpg, t=8.0s)\n [capture-periodic] freeze=1ms shot=146ms unfreeze=6ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 335M/542M [00:05<00:02, 80.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 136MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 88.8MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=32 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.13s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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 [13,576,1024,3] cpu\n [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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([13, 576, 1024, 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=33 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[13, 576, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 5 saved (frame_004.jpg, t=10.3s)\n [capture-periodic] freeze=1ms shot=138ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=33\n [ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\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] [VRAM] +258MB (now 258MB) reserved=288MB peak=258MB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.5/23.4GB (24%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=0.97GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +210MB (now 469MB) reserved=640MB peak=469MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n Frame 6 saved (frame_005.jpg, t=12.5s)\n [capture-periodic] freeze=2ms shot=147ms unfreeze=2ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -202MB (now 267MB) reserved=1344MB peak=469MB\n Frame 7 saved (frame_006.jpg, t=14.8s)\n [capture-periodic] freeze=1ms shot=145ms unfreeze=7ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (5.97s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 2181 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [13,576,1024,3] cpu\n [ComfyUI] [VRAM] Before DepthAnythingV3_MultiView: 2181 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)\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([13, 576, 1024, 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=34 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[13, 576, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=34\n [ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 5.76GB\n [ComfyUI] [comfy-env] VRAM after eviction: 5.76GB\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 Node executed (2 total), capturing...\n Frame 8 saved (frame_007.jpg, t=15.6s)\n [capture-node] freeze=2ms shot=146ms unfreeze=3ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +443MB (now 711MB) reserved=1088MB peak=711MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +705MB (now 1416MB) reserved=1728MB peak=1416MB\n [capture-loop] iter=150 t=17.6s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2 ram=7.2/23.4GB (31%) swap=1.8/32.0GB (6%) cpu=16% browser_rss=1.00GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -764MB (now 653MB) reserved=2560MB peak=1458MB\n Frame 9 saved (frame_008.jpg, t=17.9s)\n [capture-periodic] freeze=1ms shot=143ms unfreeze=5ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (3.50s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnythingV3_MultiView: 3397 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)\n [ComfyUI] Prompt executed in 18.94 seconds\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (258 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_92c6198d7531']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_92c6198d7531 (abstract, no filesystem path)\n Node executed (3 total), capturing...\n Frame 10 saved (frame_009.jpg, t=19.3s)\n [capture-node] freeze=2ms shot=146ms unfreeze=0ms saved=True\n Execution complete (t=19.3s)\n Captured 10 unique frames over 19.51s\n [debug] iframes: 0\n [timing] trigger_3d_previews: 0.0s\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] call_id=35 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (258 MB): 729 / 7672 MB\n Saved high-quality screenshot: video_multiview_depth_executed.png\n [timing] final_screenshot: 0.3s\n Captured 11 video frames", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060"}}};
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const workflowNames = Object.keys(workflowData);
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const videoData = {"advanced_3d": {"frames": [{"file": "frame_000.jpg", "time": 0.0, "log": "Capturing execution frames: advanced_3d.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_2586de009d89']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_2586de009d89 (abstract, no filesystem path)\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] call_id=3 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB"}, {"file": "frame_001.jpg", "time": 2.36, "log": "Capturing execution frames: advanced_3d.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_2586de009d89']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_2586de009d89 (abstract, no filesystem path)\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] call_id=3 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n Queuing workflow for execution...\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: 72f1792a-0a18-4121-af75-7f674bfccec4\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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=4 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=5 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.19s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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=6 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions."}, {"file": "frame_002.jpg", "time": 4.63, "log": "Capturing execution frames: advanced_3d.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_2586de009d89']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_2586de009d89 (abstract, no filesystem path)\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] call_id=3 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n Queuing workflow for execution...\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: 72f1792a-0a18-4121-af75-7f674bfccec4\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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=4 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=5 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.19s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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=6 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=2ms shot=141ms unfreeze=4ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=6\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +506MB (now 506MB) reserved=512MB peak=506MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=6\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (3.65s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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] [VRAM] Before DA3_ToPointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=7 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +286MB (now 792MB) reserved=1888MB peak=1489MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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 (0.18s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_ToPointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [VRAM] Before DA3_SavePointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=8 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311405, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311405, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311405]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311405])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311405, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311405, 3])"}, {"file": "frame_003.jpg", "time": 6.83, "log": "Capturing execution frames: advanced_3d.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_2586de009d89']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_2586de009d89 (abstract, no filesystem path)\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] call_id=3 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n Queuing workflow for execution...\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: 72f1792a-0a18-4121-af75-7f674bfccec4\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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=4 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=5 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.19s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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=6 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=2ms shot=141ms unfreeze=4ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=6\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +506MB (now 506MB) reserved=512MB peak=506MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=6\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (3.65s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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] [VRAM] Before DA3_ToPointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=7 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +286MB (now 792MB) reserved=1888MB peak=1489MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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 (0.18s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_ToPointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [VRAM] Before DA3_SavePointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=8 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311405, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311405, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311405]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311405])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[311405, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311405, 3])\n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=117ms unfreeze=6ms saved=True\n [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=5.4/23.4GB (23%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=0.95GB\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (2.28s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_SavePointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/workspaces/DepthAnythingV3-1117/ComfyUI/output/pointclo..., color_mode: 'RGB'\n [ComfyUI] [VRAM] Before DA3_PreviewPointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=9 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.05s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_PreviewPointCloud: 2725 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] Prompt executed in 6.39 seconds\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 2725 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=10 sending model_to_device"}, {"file": "frame_004.jpg", "time": 10.468480348587036, "log": "Final screenshot"}], "total_time": 8.18}, "advanced_3d_multiview": {"frames": [{"file": "frame_000.jpg", "time": 0.0, "log": "Capturing execution frames: advanced_3d_multiview.json"}, {"file": "frame_001.jpg", "time": 0.55, "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 Queuing workflow for execution...\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 [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: 2162fee5-9056-41ab-88a5-dedfb7cab6ff\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python"}, {"file": "frame_002.jpg", "time": 2.8, "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 Queuing workflow for execution...\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 [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: 2162fee5-9056-41ab-88a5-dedfb7cab6ff\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n Node executed (1 total), capturing...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_35a09257750f']...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_35a09257750f (abstract, no filesystem path)\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n Frame 2 saved (frame_001.jpg, t=0.6s)\n [capture-node] freeze=2ms shot=126ms unfreeze=6ms saved=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=11 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=12 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.79s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnythingV3_MultiView: 729 / 7672 MB\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=13 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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] WARNING: No comfy kitchen, using old apply_rope functions."}, {"file": "frame_003.jpg", "time": 5.06, "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 Queuing workflow for execution...\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 [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: 2162fee5-9056-41ab-88a5-dedfb7cab6ff\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n Node executed (1 total), capturing...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_35a09257750f']...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_35a09257750f (abstract, no filesystem path)\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n Frame 2 saved (frame_001.jpg, t=0.6s)\n [capture-node] freeze=2ms shot=126ms unfreeze=6ms saved=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=11 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=12 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.79s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnythingV3_MultiView: 729 / 7672 MB\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=13 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 3 saved (frame_002.jpg, t=2.8s)\n [capture-periodic] freeze=1ms shot=135ms unfreeze=5ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=13\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +524MB (now 524MB) reserved=544MB peak=524MB"}, {"file": "frame_004.jpg", "time": 7.39, "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 Queuing workflow for execution...\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 [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: 2162fee5-9056-41ab-88a5-dedfb7cab6ff\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n Node executed (1 total), capturing...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_35a09257750f']...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_35a09257750f (abstract, no filesystem path)\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n Frame 2 saved (frame_001.jpg, t=0.6s)\n [capture-node] freeze=2ms shot=126ms unfreeze=6ms saved=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=11 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=12 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.79s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnythingV3_MultiView: 729 / 7672 MB\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=13 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 3 saved (frame_002.jpg, t=2.8s)\n [capture-periodic] freeze=1ms shot=135ms unfreeze=5ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=13\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +524MB (now 524MB) reserved=544MB peak=524MB\n Frame 4 saved (frame_003.jpg, t=5.1s)\n [capture-periodic] freeze=2ms shot=147ms unfreeze=5ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +286MB (now 810MB) reserved=2912MB peak=1521MB\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (3.85s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnythingV3_MultiView: 3749 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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] [VRAM] Before DepthAnythingV3_MultiView: 3749 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=14 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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=14\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 4.11GB\n [ComfyUI] [comfy-env] VRAM after eviction: 4.11GB\n [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.4/23.4GB (23%) swap=1.8/32.0GB (6%) cpu=15% browser_rss=1.00GB\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (0.62s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnythingV3_MultiView: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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] [VRAM] Before DA3_MultiViewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=15 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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=15\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_MultiViewPointCloud done (0.08s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_MultiViewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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] [VRAM] Before DA3_MultiViewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=16 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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', 'parent_pid', 'fd', '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=16\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_MultiViewPointCloud done (0.08s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_MultiViewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [VRAM] Before DA3_SavePointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=17 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18821, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18821, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18821, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18821, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18821]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18821])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[18821]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([18821])\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (0.17s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_SavePointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [VRAM] Before DA3_SavePointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=18 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[20448, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([20448, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[20448, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([20448, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[20448]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([20448])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[20448]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([20448])\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (0.17s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_SavePointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/workspaces/DepthAnythingV3-1117/ComfyUI/output/pointclo..., color_mode: 'RGB'\n [ComfyUI] [VRAM] Before DA3_PreviewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=19 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.01s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_PreviewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/workspaces/DepthAnythingV3-1117/ComfyUI/output/pointclo..., color_mode: 'RGB'\n [ComfyUI] [VRAM] Before DA3_PreviewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\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=20 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.01s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_PreviewPointCloud: 3621 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] Prompt executed in 6.99 seconds"}, {"file": "frame_005.jpg", "time": 10.013691186904907, "log": "Final screenshot"}], "total_time": 7.73}, "video_multiview_depth": {"frames": [{"file": "frame_000.jpg", "time": 0.0, "log": "Capturing execution frames: video_multiview_depth.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=30 sending model_to_device\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -314MB (now 503MB) reserved=2560MB peak=1172MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB"}, {"file": "frame_001.jpg", "time": 1.29, "log": "Capturing execution frames: video_multiview_depth.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=30 sending model_to_device\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -314MB (now 503MB) reserved=2560MB peak=1172MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB\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 9 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_base.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 52: CreateVideo\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"62\", 0]}\n [ComfyUI] Node 53: CreateVideo\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"61\", 0]}\n [ComfyUI] Node 54: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"52\", 0]}\n [ComfyUI] Node 55: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"53\", 0]}\n [ComfyUI] Node 61: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 62: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 66: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"71\", 0]}\n [ComfyUI] Node 71: LoadImagesFromFolderKJ\n [ComfyUI] Inputs: {\"folder\": \"input/robotframes\", \"width\": 1024, \"height\": 576, \"keep_aspect_ratio\": \"crop\", \"image_load_cap\": 0, \"start_index\": 0, \"include_subfolders\": false}\n [ComfyUI] Generated prompt_id: fab90000-c57e-4990-bea5-49fbe0047fd7\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_base.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_d926b95c8750']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_d926b95c8750 (abstract, no filesystem path)"}, {"file": "frame_002.jpg", "time": 5.71, "log": "Capturing execution frames: video_multiview_depth.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=30 sending model_to_device\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -314MB (now 503MB) reserved=2560MB peak=1172MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB\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 9 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_base.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 52: CreateVideo\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"62\", 0]}\n [ComfyUI] Node 53: CreateVideo\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"61\", 0]}\n [ComfyUI] Node 54: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"52\", 0]}\n [ComfyUI] Node 55: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"53\", 0]}\n [ComfyUI] Node 61: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 62: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 66: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"71\", 0]}\n [ComfyUI] Node 71: LoadImagesFromFolderKJ\n [ComfyUI] Inputs: {\"folder\": \"input/robotframes\", \"width\": 1024, \"height\": 576, \"keep_aspect_ratio\": \"crop\", \"image_load_cap\": 0, \"start_index\": 0, \"include_subfolders\": false}\n [ComfyUI] Generated prompt_id: fab90000-c57e-4990-bea5-49fbe0047fd7\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_base.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_d926b95c8750']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_d926b95c8750 (abstract, no filesystem path)\n Node executed (1 total), capturing...\n Frame 2 saved (frame_001.jpg, t=1.3s)\n [capture-node] freeze=2ms shot=105ms unfreeze=4ms saved=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=31 sending call_method\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": 7.97, "log": "Capturing execution frames: video_multiview_depth.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=30 sending model_to_device\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -314MB (now 503MB) reserved=2560MB peak=1172MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB\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 9 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_base.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 52: CreateVideo\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"62\", 0]}\n [ComfyUI] Node 53: CreateVideo\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"61\", 0]}\n [ComfyUI] Node 54: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"52\", 0]}\n [ComfyUI] Node 55: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"53\", 0]}\n [ComfyUI] Node 61: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 62: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 66: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"71\", 0]}\n [ComfyUI] Node 71: LoadImagesFromFolderKJ\n [ComfyUI] Inputs: {\"folder\": \"input/robotframes\", \"width\": 1024, \"height\": 576, \"keep_aspect_ratio\": \"crop\", \"image_load_cap\": 0, \"start_index\": 0, \"include_subfolders\": false}\n [ComfyUI] Generated prompt_id: fab90000-c57e-4990-bea5-49fbe0047fd7\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_base.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_d926b95c8750']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_d926b95c8750 (abstract, no filesystem path)\n Node executed (1 total), capturing...\n Frame 2 saved (frame_001.jpg, t=1.3s)\n [capture-node] freeze=2ms shot=105ms unfreeze=4ms saved=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=31 sending call_method\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=5.7s)\n [capture-periodic] freeze=1ms shot=127ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.0/23.4GB (21%) swap=1.8/32.0GB (6%) cpu=11% browser_rss=1.11GB\n [ComfyUI] model.safetensors: 0%| | 0.00/542M [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 12%|\u2588\u258f | 67.1M/542M [00:03<00:23, 20.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 25%|\u2588\u2588\u258d | 134M/542M [00:03<00:09, 44.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 50%|\u2588\u2588\u2588\u2588\u2589 | 268M/542M [00:04<00:03, 77.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=31"}, {"file": "frame_004.jpg", "time": 10.26, "log": "Capturing execution frames: video_multiview_depth.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=30 sending model_to_device\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -314MB (now 503MB) reserved=2560MB peak=1172MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB\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 9 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_base.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 52: CreateVideo\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"62\", 0]}\n [ComfyUI] Node 53: CreateVideo\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"61\", 0]}\n [ComfyUI] Node 54: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"52\", 0]}\n [ComfyUI] Node 55: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"53\", 0]}\n [ComfyUI] Node 61: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 62: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 66: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"71\", 0]}\n [ComfyUI] Node 71: LoadImagesFromFolderKJ\n [ComfyUI] Inputs: {\"folder\": \"input/robotframes\", \"width\": 1024, \"height\": 576, \"keep_aspect_ratio\": \"crop\", \"image_load_cap\": 0, \"start_index\": 0, \"include_subfolders\": false}\n [ComfyUI] Generated prompt_id: fab90000-c57e-4990-bea5-49fbe0047fd7\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_base.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_d926b95c8750']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_d926b95c8750 (abstract, no filesystem path)\n Node executed (1 total), capturing...\n Frame 2 saved (frame_001.jpg, t=1.3s)\n [capture-node] freeze=2ms shot=105ms unfreeze=4ms saved=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=31 sending call_method\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=5.7s)\n [capture-periodic] freeze=1ms shot=127ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.0/23.4GB (21%) swap=1.8/32.0GB (6%) cpu=11% browser_rss=1.11GB\n [ComfyUI] model.safetensors: 0%| | 0.00/542M [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 12%|\u2588\u258f | 67.1M/542M [00:03<00:23, 20.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 25%|\u2588\u2588\u258d | 134M/542M [00:03<00:09, 44.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 50%|\u2588\u2588\u2588\u2588\u2589 | 268M/542M [00:04<00:03, 77.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n Frame 4 saved (frame_003.jpg, t=8.0s)\n [capture-periodic] freeze=1ms shot=146ms unfreeze=6ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 335M/542M [00:05<00:02, 80.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 136MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 88.8MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=32 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.13s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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 [13,576,1024,3] cpu\n [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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([13, 576, 1024, 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=33 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[13, 576, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions."}, {"file": "frame_005.jpg", "time": 12.52, "log": "Capturing execution frames: video_multiview_depth.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=30 sending model_to_device\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -314MB (now 503MB) reserved=2560MB peak=1172MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB\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 9 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_base.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 52: CreateVideo\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"62\", 0]}\n [ComfyUI] Node 53: CreateVideo\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"61\", 0]}\n [ComfyUI] Node 54: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"52\", 0]}\n [ComfyUI] Node 55: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"53\", 0]}\n [ComfyUI] Node 61: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 62: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 66: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"71\", 0]}\n [ComfyUI] Node 71: LoadImagesFromFolderKJ\n [ComfyUI] Inputs: {\"folder\": \"input/robotframes\", \"width\": 1024, \"height\": 576, \"keep_aspect_ratio\": \"crop\", \"image_load_cap\": 0, \"start_index\": 0, \"include_subfolders\": false}\n [ComfyUI] Generated prompt_id: fab90000-c57e-4990-bea5-49fbe0047fd7\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_base.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_d926b95c8750']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_d926b95c8750 (abstract, no filesystem path)\n Node executed (1 total), capturing...\n Frame 2 saved (frame_001.jpg, t=1.3s)\n [capture-node] freeze=2ms shot=105ms unfreeze=4ms saved=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=31 sending call_method\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=5.7s)\n [capture-periodic] freeze=1ms shot=127ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.0/23.4GB (21%) swap=1.8/32.0GB (6%) cpu=11% browser_rss=1.11GB\n [ComfyUI] model.safetensors: 0%| | 0.00/542M [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 12%|\u2588\u258f | 67.1M/542M [00:03<00:23, 20.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 25%|\u2588\u2588\u258d | 134M/542M [00:03<00:09, 44.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 50%|\u2588\u2588\u2588\u2588\u2589 | 268M/542M [00:04<00:03, 77.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n Frame 4 saved (frame_003.jpg, t=8.0s)\n [capture-periodic] freeze=1ms shot=146ms unfreeze=6ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 335M/542M [00:05<00:02, 80.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 136MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 88.8MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=32 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.13s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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 [13,576,1024,3] cpu\n [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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([13, 576, 1024, 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=33 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[13, 576, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 5 saved (frame_004.jpg, t=10.3s)\n [capture-periodic] freeze=1ms shot=138ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=33\n [ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\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] [VRAM] +258MB (now 258MB) reserved=288MB peak=258MB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.5/23.4GB (24%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=0.97GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +210MB (now 469MB) reserved=640MB peak=469MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33"}, {"file": "frame_006.jpg", "time": 14.81, "log": "Capturing execution frames: video_multiview_depth.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=30 sending model_to_device\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -314MB (now 503MB) reserved=2560MB peak=1172MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB\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 9 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_base.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 52: CreateVideo\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"62\", 0]}\n [ComfyUI] Node 53: CreateVideo\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"61\", 0]}\n [ComfyUI] Node 54: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"52\", 0]}\n [ComfyUI] Node 55: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"53\", 0]}\n [ComfyUI] Node 61: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 62: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 66: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"71\", 0]}\n [ComfyUI] Node 71: LoadImagesFromFolderKJ\n [ComfyUI] Inputs: {\"folder\": \"input/robotframes\", \"width\": 1024, \"height\": 576, \"keep_aspect_ratio\": \"crop\", \"image_load_cap\": 0, \"start_index\": 0, \"include_subfolders\": false}\n [ComfyUI] Generated prompt_id: fab90000-c57e-4990-bea5-49fbe0047fd7\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_base.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_d926b95c8750']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_d926b95c8750 (abstract, no filesystem path)\n Node executed (1 total), capturing...\n Frame 2 saved (frame_001.jpg, t=1.3s)\n [capture-node] freeze=2ms shot=105ms unfreeze=4ms saved=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=31 sending call_method\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=5.7s)\n [capture-periodic] freeze=1ms shot=127ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.0/23.4GB (21%) swap=1.8/32.0GB (6%) cpu=11% browser_rss=1.11GB\n [ComfyUI] model.safetensors: 0%| | 0.00/542M [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 12%|\u2588\u258f | 67.1M/542M [00:03<00:23, 20.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 25%|\u2588\u2588\u258d | 134M/542M [00:03<00:09, 44.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 50%|\u2588\u2588\u2588\u2588\u2589 | 268M/542M [00:04<00:03, 77.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n Frame 4 saved (frame_003.jpg, t=8.0s)\n [capture-periodic] freeze=1ms shot=146ms unfreeze=6ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 335M/542M [00:05<00:02, 80.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 136MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 88.8MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=32 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.13s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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 [13,576,1024,3] cpu\n [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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([13, 576, 1024, 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=33 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[13, 576, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 5 saved (frame_004.jpg, t=10.3s)\n [capture-periodic] freeze=1ms shot=138ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=33\n [ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\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] [VRAM] +258MB (now 258MB) reserved=288MB peak=258MB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.5/23.4GB (24%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=0.97GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +210MB (now 469MB) reserved=640MB peak=469MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n Frame 6 saved (frame_005.jpg, t=12.5s)\n [capture-periodic] freeze=2ms shot=147ms unfreeze=2ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -202MB (now 267MB) reserved=1344MB peak=469MB"}, {"file": "frame_007.jpg", "time": 15.64, "log": "Capturing execution frames: video_multiview_depth.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=30 sending model_to_device\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -314MB (now 503MB) reserved=2560MB peak=1172MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB\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 9 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_base.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 52: CreateVideo\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"62\", 0]}\n [ComfyUI] Node 53: CreateVideo\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"61\", 0]}\n [ComfyUI] Node 54: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"52\", 0]}\n [ComfyUI] Node 55: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"53\", 0]}\n [ComfyUI] Node 61: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 62: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 66: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"71\", 0]}\n [ComfyUI] Node 71: LoadImagesFromFolderKJ\n [ComfyUI] Inputs: {\"folder\": \"input/robotframes\", \"width\": 1024, \"height\": 576, \"keep_aspect_ratio\": \"crop\", \"image_load_cap\": 0, \"start_index\": 0, \"include_subfolders\": false}\n [ComfyUI] Generated prompt_id: fab90000-c57e-4990-bea5-49fbe0047fd7\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_base.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_d926b95c8750']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_d926b95c8750 (abstract, no filesystem path)\n Node executed (1 total), capturing...\n Frame 2 saved (frame_001.jpg, t=1.3s)\n [capture-node] freeze=2ms shot=105ms unfreeze=4ms saved=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=31 sending call_method\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=5.7s)\n [capture-periodic] freeze=1ms shot=127ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.0/23.4GB (21%) swap=1.8/32.0GB (6%) cpu=11% browser_rss=1.11GB\n [ComfyUI] model.safetensors: 0%| | 0.00/542M [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 12%|\u2588\u258f | 67.1M/542M [00:03<00:23, 20.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 25%|\u2588\u2588\u258d | 134M/542M [00:03<00:09, 44.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 50%|\u2588\u2588\u2588\u2588\u2589 | 268M/542M [00:04<00:03, 77.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n Frame 4 saved (frame_003.jpg, t=8.0s)\n [capture-periodic] freeze=1ms shot=146ms unfreeze=6ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 335M/542M [00:05<00:02, 80.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 136MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 88.8MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=32 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.13s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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 [13,576,1024,3] cpu\n [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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([13, 576, 1024, 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=33 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[13, 576, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 5 saved (frame_004.jpg, t=10.3s)\n [capture-periodic] freeze=1ms shot=138ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=33\n [ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\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] [VRAM] +258MB (now 258MB) reserved=288MB peak=258MB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.5/23.4GB (24%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=0.97GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +210MB (now 469MB) reserved=640MB peak=469MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n Frame 6 saved (frame_005.jpg, t=12.5s)\n [capture-periodic] freeze=2ms shot=147ms unfreeze=2ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -202MB (now 267MB) reserved=1344MB peak=469MB\n Frame 7 saved (frame_006.jpg, t=14.8s)\n [capture-periodic] freeze=1ms shot=145ms unfreeze=7ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (5.97s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 2181 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [13,576,1024,3] cpu\n [ComfyUI] [VRAM] Before DepthAnythingV3_MultiView: 2181 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)\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([13, 576, 1024, 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=34 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[13, 576, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=34\n [ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 5.76GB\n [ComfyUI] [comfy-env] VRAM after eviction: 5.76GB\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."}, {"file": "frame_008.jpg", "time": 17.91, "log": "Capturing execution frames: video_multiview_depth.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=30 sending model_to_device\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -314MB (now 503MB) reserved=2560MB peak=1172MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB\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 9 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_base.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 52: CreateVideo\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"62\", 0]}\n [ComfyUI] Node 53: CreateVideo\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"61\", 0]}\n [ComfyUI] Node 54: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"52\", 0]}\n [ComfyUI] Node 55: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"53\", 0]}\n [ComfyUI] Node 61: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 62: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 66: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"71\", 0]}\n [ComfyUI] Node 71: LoadImagesFromFolderKJ\n [ComfyUI] Inputs: {\"folder\": \"input/robotframes\", \"width\": 1024, \"height\": 576, \"keep_aspect_ratio\": \"crop\", \"image_load_cap\": 0, \"start_index\": 0, \"include_subfolders\": false}\n [ComfyUI] Generated prompt_id: fab90000-c57e-4990-bea5-49fbe0047fd7\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_base.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_d926b95c8750']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_d926b95c8750 (abstract, no filesystem path)\n Node executed (1 total), capturing...\n Frame 2 saved (frame_001.jpg, t=1.3s)\n [capture-node] freeze=2ms shot=105ms unfreeze=4ms saved=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=31 sending call_method\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=5.7s)\n [capture-periodic] freeze=1ms shot=127ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.0/23.4GB (21%) swap=1.8/32.0GB (6%) cpu=11% browser_rss=1.11GB\n [ComfyUI] model.safetensors: 0%| | 0.00/542M [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 12%|\u2588\u258f | 67.1M/542M [00:03<00:23, 20.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 25%|\u2588\u2588\u258d | 134M/542M [00:03<00:09, 44.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 50%|\u2588\u2588\u2588\u2588\u2589 | 268M/542M [00:04<00:03, 77.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n Frame 4 saved (frame_003.jpg, t=8.0s)\n [capture-periodic] freeze=1ms shot=146ms unfreeze=6ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 335M/542M [00:05<00:02, 80.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 136MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 88.8MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=32 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.13s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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 [13,576,1024,3] cpu\n [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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([13, 576, 1024, 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=33 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[13, 576, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 5 saved (frame_004.jpg, t=10.3s)\n [capture-periodic] freeze=1ms shot=138ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=33\n [ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\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] [VRAM] +258MB (now 258MB) reserved=288MB peak=258MB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.5/23.4GB (24%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=0.97GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +210MB (now 469MB) reserved=640MB peak=469MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n Frame 6 saved (frame_005.jpg, t=12.5s)\n [capture-periodic] freeze=2ms shot=147ms unfreeze=2ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -202MB (now 267MB) reserved=1344MB peak=469MB\n Frame 7 saved (frame_006.jpg, t=14.8s)\n [capture-periodic] freeze=1ms shot=145ms unfreeze=7ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (5.97s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 2181 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [13,576,1024,3] cpu\n [ComfyUI] [VRAM] Before DepthAnythingV3_MultiView: 2181 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)\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([13, 576, 1024, 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=34 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[13, 576, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=34\n [ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 5.76GB\n [ComfyUI] [comfy-env] VRAM after eviction: 5.76GB\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 Node executed (2 total), capturing...\n Frame 8 saved (frame_007.jpg, t=15.6s)\n [capture-node] freeze=2ms shot=146ms unfreeze=3ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +443MB (now 711MB) reserved=1088MB peak=711MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +705MB (now 1416MB) reserved=1728MB peak=1416MB\n [capture-loop] iter=150 t=17.6s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2 ram=7.2/23.4GB (31%) swap=1.8/32.0GB (6%) cpu=16% browser_rss=1.00GB"}, {"file": "frame_009.jpg", "time": 19.31, "log": "Capturing execution frames: video_multiview_depth.json\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=30 sending model_to_device\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -314MB (now 503MB) reserved=2560MB peak=1172MB\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 901 / 7672 MB\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 9 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_base.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 52: CreateVideo\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"62\", 0]}\n [ComfyUI] Node 53: CreateVideo\n [ComfyUI] Inputs: {\"fps\": 10, \"images\": [\"61\", 0]}\n [ComfyUI] Node 54: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"52\", 0]}\n [ComfyUI] Node 55: SaveVideo\n [ComfyUI] Inputs: {\"filename_prefix\": \"video/ComfyUI\", \"format\": \"auto\", \"codec\": \"auto\", \"video\": [\"53\", 0]}\n [ComfyUI] Node 61: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 62: DepthAnythingV3_MultiView\n [ComfyUI] Inputs: {\"normalization_mode\": \"V2-Style\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"3\", 0], \"images\": [\"71\", 0]}\n [ComfyUI] Node 66: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"71\", 0]}\n [ComfyUI] Node 71: LoadImagesFromFolderKJ\n [ComfyUI] Inputs: {\"folder\": \"input/robotframes\", \"width\": 1024, \"height\": 576, \"keep_aspect_ratio\": \"crop\", \"image_load_cap\": 0, \"start_index\": 0, \"include_subfolders\": false}\n [ComfyUI] Generated prompt_id: fab90000-c57e-4990-bea5-49fbe0047fd7\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_base.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 901 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_d926b95c8750']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_d926b95c8750 (abstract, no filesystem path)\n Node executed (1 total), capturing...\n Frame 2 saved (frame_001.jpg, t=1.3s)\n [capture-node] freeze=2ms shot=105ms unfreeze=4ms saved=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=31 sending call_method\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=5.7s)\n [capture-periodic] freeze=1ms shot=127ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.0/23.4GB (21%) swap=1.8/32.0GB (6%) cpu=11% browser_rss=1.11GB\n [ComfyUI] model.safetensors: 0%| | 0.00/542M [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 12%|\u2588\u258f | 67.1M/542M [00:03<00:23, 20.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 25%|\u2588\u2588\u258d | 134M/542M [00:03<00:09, 44.9MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 50%|\u2588\u2588\u2588\u2588\u2589 | 268M/542M [00:04<00:03, 77.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n Frame 4 saved (frame_003.jpg, t=8.0s)\n [capture-periodic] freeze=1ms shot=146ms unfreeze=6ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 335M/542M [00:05<00:02, 80.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 136MB/s] [SubprocessWorker] callback 'report_progress' from call_id=31\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [00:06<00:00, 88.8MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (783 MB) -> cpu: 729 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] call_id=32 sending model_to_device\n [ComfyUI] Model 'DepthAnything3Net_1' gone from worker (restarted?), treating as offloaded\n [ComfyUI] [comfy-env] [VRAM] After offload 'DepthAnything3Net_1' (783 MB): 729 / 7672 MB\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (8.13s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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 [13,576,1024,3] cpu\n [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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([13, 576, 1024, 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=33 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[13, 576, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 5 saved (frame_004.jpg, t=10.3s)\n [capture-periodic] freeze=1ms shot=138ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=33\n [ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\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] [VRAM] +258MB (now 258MB) reserved=288MB peak=258MB\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=5.5/23.4GB (24%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=0.97GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +210MB (now 469MB) reserved=640MB peak=469MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n Frame 6 saved (frame_005.jpg, t=12.5s)\n [capture-periodic] freeze=2ms shot=147ms unfreeze=2ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=33\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -202MB (now 267MB) reserved=1344MB peak=469MB\n Frame 7 saved (frame_006.jpg, t=14.8s)\n [capture-periodic] freeze=1ms shot=145ms unfreeze=7ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (5.97s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 2181 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)\n [ComfyUI] [comfy-env] Running DepthAnythingV3_MultiView: normalization_mode: 'V2-Style', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [13,576,1024,3] cpu\n [ComfyUI] [VRAM] Before DepthAnythingV3_MultiView: 2181 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)\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([13, 576, 1024, 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=34 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[13, 576, 1024, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([13, 576, 1024, 3])\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=34\n [ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 5.76GB\n [ComfyUI] [comfy-env] VRAM after eviction: 5.76GB\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 Node executed (2 total), capturing...\n Frame 8 saved (frame_007.jpg, t=15.6s)\n [capture-node] freeze=2ms shot=146ms unfreeze=3ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +443MB (now 711MB) reserved=1088MB peak=711MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +705MB (now 1416MB) reserved=1728MB peak=1416MB\n [capture-loop] iter=150 t=17.6s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2 ram=7.2/23.4GB (31%) swap=1.8/32.0GB (6%) cpu=16% browser_rss=1.00GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -764MB (now 653MB) reserved=2560MB peak=1458MB\n Frame 9 saved (frame_008.jpg, t=17.9s)\n [capture-periodic] freeze=1ms shot=143ms unfreeze=5ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnythingV3_MultiView done (3.50s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnythingV3_MultiView: 3397 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (258 MB)\n [ComfyUI] Prompt executed in 18.94 seconds\n [ComfyUI] [comfy-env] [VRAM] Before offload 'DepthAnything3Net_1' (258 MB) -> cpu: 3397 / 7672 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [comfy-env] Invalidated 1 stale model patchers (will be cleaned up during next unload)\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_92c6198d7531']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_92c6198d7531 (abstract, no filesystem path)"}, {"file": "frame_010.jpg", "time": 21.78397035598755, "log": "Final screenshot"}], "total_time": 19.51}, "simple": {"frames": [{"file": "frame_000.jpg", "time": 0.0, "log": "Capturing execution frames: simple.json"}, {"file": "frame_001.jpg", "time": 2.36, "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] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadImage\n Queuing workflow for execution...\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\": [\"14\", 0]}\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] Generated prompt_id: 8fde4141-0ed0-42c5-b7ec-12f23fadac10\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 7555 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_1509bf607075']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_1509bf607075 (abstract, no filesystem path)\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=28 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.66s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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 [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=29 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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 [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions."}, {"file": "frame_002.jpg", "time": 4.64, "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] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadImage\n Queuing workflow for execution...\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\": [\"14\", 0]}\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] Generated prompt_id: 8fde4141-0ed0-42c5-b7ec-12f23fadac10\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 7555 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_1509bf607075']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_1509bf607075 (abstract, no filesystem path)\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=28 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.66s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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 [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=29 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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 [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=2ms shot=148ms unfreeze=5ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=29\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +542MB (now 542MB) reserved=544MB peak=542MB\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."}, {"file": "frame_003.jpg", "time": 5.91, "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] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadImage\n Queuing workflow for execution...\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\": [\"14\", 0]}\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] Generated prompt_id: 8fde4141-0ed0-42c5-b7ec-12f23fadac10\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] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 7555 / 7672 MB\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: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_1509bf607075']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_1509bf607075 (abstract, no filesystem path)\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=28 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (1.66s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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 [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=29 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', '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 [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=2ms shot=148ms unfreeze=5ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=29\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +542MB (now 542MB) reserved=544MB peak=542MB\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 Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=1ms shot=146ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=29\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +275MB (now 817MB) reserved=2560MB peak=1172MB\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (3.73s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 3397 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n [ComfyUI] Prompt executed in 5.46 seconds"}, {"file": "frame_004.jpg", "time": 8.570362091064453, "log": "Final screenshot"}], "total_time": 6.26}, "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": 2.36, "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 Queuing workflow for execution...\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 [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: 9895e5dd-9a97-44c3-8219-0706afc20ee7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1117/ComfyUI'}\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_bdf53b82d7c9']...\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_bdf53b82d7c9 (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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"}, {"file": "frame_002.jpg", "time": 4.6, "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 Queuing workflow for execution...\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 [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: 9895e5dd-9a97-44c3-8219-0706afc20ee7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1117/ComfyUI'}\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_bdf53b82d7c9']...\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_bdf53b82d7c9 (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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=2.4s)\n [capture-periodic] freeze=2ms shot=130ms unfreeze=4ms saved=True\n [ComfyUI] "}, {"file": "frame_003.jpg", "time": 6.88, "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 Queuing workflow for execution...\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 [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: 9895e5dd-9a97-44c3-8219-0706afc20ee7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1117/ComfyUI'}\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_bdf53b82d7c9']...\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_bdf53b82d7c9 (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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=2.4s)\n [capture-periodic] freeze=2ms shot=130ms unfreeze=4ms saved=True\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=136ms unfreeze=4ms 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 [00:03<01:10, 22.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (18%) swap=1.8/32.0GB (6%) cpu=8% browser_rss=0.85GB"}, {"file": "frame_004.jpg", "time": 9.15, "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 Queuing workflow for execution...\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 [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: 9895e5dd-9a97-44c3-8219-0706afc20ee7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1117/ComfyUI'}\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_bdf53b82d7c9']...\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_bdf53b82d7c9 (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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=2.4s)\n [capture-periodic] freeze=2ms shot=130ms unfreeze=4ms saved=True\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=136ms unfreeze=4ms 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 [00:03<01:10, 22.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (18%) swap=1.8/32.0GB (6%) cpu=8% browser_rss=0.85GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 16%|\u2588\u258b | 268M/1.64G [00:04<00:18, 73.8MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 4 saved (frame_003.jpg, t=6.9s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=2ms saved=True"}, {"file": "frame_005.jpg", "time": 11.43, "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 Queuing workflow for execution...\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 [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: 9895e5dd-9a97-44c3-8219-0706afc20ee7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1117/ComfyUI'}\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_bdf53b82d7c9']...\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_bdf53b82d7c9 (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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=2.4s)\n [capture-periodic] freeze=2ms shot=130ms unfreeze=4ms saved=True\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=136ms unfreeze=4ms 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 [00:03<01:10, 22.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (18%) swap=1.8/32.0GB (6%) cpu=8% browser_rss=0.85GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 16%|\u2588\u258b | 268M/1.64G [00:04<00:18, 73.8MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 4 saved (frame_003.jpg, t=6.9s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=2ms saved=True\n Frame 5 saved (frame_004.jpg, t=9.2s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 20%|\u2588\u2588 | 335M/1.64G [00:07<00:27, 47.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=11.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.7/23.4GB (20%) swap=1.8/32.0GB (6%) cpu=10% browser_rss=0.85GB"}, {"file": "frame_006.jpg", "time": 13.7, "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 Queuing workflow for execution...\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 [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: 9895e5dd-9a97-44c3-8219-0706afc20ee7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1117/ComfyUI'}\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_bdf53b82d7c9']...\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_bdf53b82d7c9 (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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=2.4s)\n [capture-periodic] freeze=2ms shot=130ms unfreeze=4ms saved=True\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=136ms unfreeze=4ms 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 [00:03<01:10, 22.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (18%) swap=1.8/32.0GB (6%) cpu=8% browser_rss=0.85GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 16%|\u2588\u258b | 268M/1.64G [00:04<00:18, 73.8MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 4 saved (frame_003.jpg, t=6.9s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=2ms saved=True\n Frame 5 saved (frame_004.jpg, t=9.2s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 20%|\u2588\u2588 | 335M/1.64G [00:07<00:27, 47.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=11.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.7/23.4GB (20%) swap=1.8/32.0GB (6%) cpu=10% browser_rss=0.85GB\n Frame 6 saved (frame_005.jpg, t=11.4s)\n [capture-periodic] freeze=1ms shot=128ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 24%|\u2588\u2588\u258d | 402M/1.64G [00:09<00:30, 40.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:10<00:20, 53.6MB/s][SubprocessWorker] callback 'report_progress' from call_id=1"}, {"file": "frame_007.jpg", "time": 15.96, "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 Queuing workflow for execution...\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 [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: 9895e5dd-9a97-44c3-8219-0706afc20ee7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1117/ComfyUI'}\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_bdf53b82d7c9']...\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_bdf53b82d7c9 (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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=2.4s)\n [capture-periodic] freeze=2ms shot=130ms unfreeze=4ms saved=True\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=136ms unfreeze=4ms 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 [00:03<01:10, 22.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (18%) swap=1.8/32.0GB (6%) cpu=8% browser_rss=0.85GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 16%|\u2588\u258b | 268M/1.64G [00:04<00:18, 73.8MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 4 saved (frame_003.jpg, t=6.9s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=2ms saved=True\n Frame 5 saved (frame_004.jpg, t=9.2s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 20%|\u2588\u2588 | 335M/1.64G [00:07<00:27, 47.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=11.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.7/23.4GB (20%) swap=1.8/32.0GB (6%) cpu=10% browser_rss=0.85GB\n Frame 6 saved (frame_005.jpg, t=11.4s)\n [capture-periodic] freeze=1ms shot=128ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 24%|\u2588\u2588\u258d | 402M/1.64G [00:09<00:30, 40.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:10<00:20, 53.6MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 41%|\u2588\u2588\u2588\u2588 | 671M/1.64G [00:11<00:11, 82.7MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 7 saved (frame_006.jpg, t=13.7s)\n [capture-periodic] freeze=2ms shot=131ms unfreeze=2ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 53%|\u2588\u2588\u2588\u2588\u2588\u258e | 872M/1.64G [00:13<00:08, 90.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=1"}, {"file": "frame_008.jpg", "time": 18.16, "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 Queuing workflow for execution...\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 [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: 9895e5dd-9a97-44c3-8219-0706afc20ee7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1117/ComfyUI'}\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_bdf53b82d7c9']...\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_bdf53b82d7c9 (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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=2.4s)\n [capture-periodic] freeze=2ms shot=130ms unfreeze=4ms saved=True\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=136ms unfreeze=4ms 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 [00:03<01:10, 22.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (18%) swap=1.8/32.0GB (6%) cpu=8% browser_rss=0.85GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 16%|\u2588\u258b | 268M/1.64G [00:04<00:18, 73.8MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 4 saved (frame_003.jpg, t=6.9s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=2ms saved=True\n Frame 5 saved (frame_004.jpg, t=9.2s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 20%|\u2588\u2588 | 335M/1.64G [00:07<00:27, 47.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=11.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.7/23.4GB (20%) swap=1.8/32.0GB (6%) cpu=10% browser_rss=0.85GB\n Frame 6 saved (frame_005.jpg, t=11.4s)\n [capture-periodic] freeze=1ms shot=128ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 24%|\u2588\u2588\u258d | 402M/1.64G [00:09<00:30, 40.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:10<00:20, 53.6MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 41%|\u2588\u2588\u2588\u2588 | 671M/1.64G [00:11<00:11, 82.7MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 7 saved (frame_006.jpg, t=13.7s)\n [capture-periodic] freeze=2ms shot=131ms unfreeze=2ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 53%|\u2588\u2588\u2588\u2588\u2588\u258e | 872M/1.64G [00:13<00:08, 90.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 8 saved (frame_007.jpg, t=16.0s)\n [capture-periodic] freeze=1ms shot=140ms unfreeze=4ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.07G/1.64G [00:13<00:04, 122MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 73%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.21G/1.64G [00:14<00:02, 154MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.27G/1.64G [00:14<00:02, 166MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=150 t=17.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=4.5/23.4GB (19%) swap=1.8/32.0GB (6%) cpu=12% browser_rss=0.86GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 90%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.48G/1.64G [00:14<00:00, 247MB/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 [00:14<00:00, 312MB/s][SubprocessWorker] callback 'report_progress' from call_id=1"}, {"file": "frame_009.jpg", "time": 20.43, "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 Queuing workflow for execution...\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 [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: 9895e5dd-9a97-44c3-8219-0706afc20ee7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1117/ComfyUI'}\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_bdf53b82d7c9']...\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_bdf53b82d7c9 (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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=2.4s)\n [capture-periodic] freeze=2ms shot=130ms unfreeze=4ms saved=True\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=136ms unfreeze=4ms 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 [00:03<01:10, 22.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (18%) swap=1.8/32.0GB (6%) cpu=8% browser_rss=0.85GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 16%|\u2588\u258b | 268M/1.64G [00:04<00:18, 73.8MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 4 saved (frame_003.jpg, t=6.9s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=2ms saved=True\n Frame 5 saved (frame_004.jpg, t=9.2s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 20%|\u2588\u2588 | 335M/1.64G [00:07<00:27, 47.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=11.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.7/23.4GB (20%) swap=1.8/32.0GB (6%) cpu=10% browser_rss=0.85GB\n Frame 6 saved (frame_005.jpg, t=11.4s)\n [capture-periodic] freeze=1ms shot=128ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 24%|\u2588\u2588\u258d | 402M/1.64G [00:09<00:30, 40.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:10<00:20, 53.6MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 41%|\u2588\u2588\u2588\u2588 | 671M/1.64G [00:11<00:11, 82.7MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 7 saved (frame_006.jpg, t=13.7s)\n [capture-periodic] freeze=2ms shot=131ms unfreeze=2ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 53%|\u2588\u2588\u2588\u2588\u2588\u258e | 872M/1.64G [00:13<00:08, 90.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 8 saved (frame_007.jpg, t=16.0s)\n [capture-periodic] freeze=1ms shot=140ms unfreeze=4ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.07G/1.64G [00:13<00:04, 122MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 73%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.21G/1.64G [00:14<00:02, 154MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.27G/1.64G [00:14<00:02, 166MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=150 t=17.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=4.5/23.4GB (19%) swap=1.8/32.0GB (6%) cpu=12% browser_rss=0.86GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 90%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.48G/1.64G [00:14<00:00, 247MB/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 [00:14<00:00, 312MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 9 saved (frame_008.jpg, t=18.2s)\n [capture-periodic] freeze=2ms shot=141ms unfreeze=3ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.64G/1.64G [00:16<00:00, 99.3MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (19.02s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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 [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', 'parent_pid', 'fd', '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 [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions."}, {"file": "frame_010.jpg", "time": 25.06, "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 Queuing workflow for execution...\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 [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: 9895e5dd-9a97-44c3-8219-0706afc20ee7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1117/ComfyUI'}\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_bdf53b82d7c9']...\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_bdf53b82d7c9 (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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=2.4s)\n [capture-periodic] freeze=2ms shot=130ms unfreeze=4ms saved=True\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=136ms unfreeze=4ms 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 [00:03<01:10, 22.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (18%) swap=1.8/32.0GB (6%) cpu=8% browser_rss=0.85GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 16%|\u2588\u258b | 268M/1.64G [00:04<00:18, 73.8MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 4 saved (frame_003.jpg, t=6.9s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=2ms saved=True\n Frame 5 saved (frame_004.jpg, t=9.2s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 20%|\u2588\u2588 | 335M/1.64G [00:07<00:27, 47.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=11.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.7/23.4GB (20%) swap=1.8/32.0GB (6%) cpu=10% browser_rss=0.85GB\n Frame 6 saved (frame_005.jpg, t=11.4s)\n [capture-periodic] freeze=1ms shot=128ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 24%|\u2588\u2588\u258d | 402M/1.64G [00:09<00:30, 40.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:10<00:20, 53.6MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 41%|\u2588\u2588\u2588\u2588 | 671M/1.64G [00:11<00:11, 82.7MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 7 saved (frame_006.jpg, t=13.7s)\n [capture-periodic] freeze=2ms shot=131ms unfreeze=2ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 53%|\u2588\u2588\u2588\u2588\u2588\u258e | 872M/1.64G [00:13<00:08, 90.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 8 saved (frame_007.jpg, t=16.0s)\n [capture-periodic] freeze=1ms shot=140ms unfreeze=4ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.07G/1.64G [00:13<00:04, 122MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 73%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.21G/1.64G [00:14<00:02, 154MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.27G/1.64G [00:14<00:02, 166MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=150 t=17.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=4.5/23.4GB (19%) swap=1.8/32.0GB (6%) cpu=12% browser_rss=0.86GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 90%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.48G/1.64G [00:14<00:00, 247MB/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 [00:14<00:00, 312MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 9 saved (frame_008.jpg, t=18.2s)\n [capture-periodic] freeze=2ms shot=141ms unfreeze=3ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.64G/1.64G [00:16<00:00, 99.3MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (19.02s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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 [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', 'parent_pid', 'fd', '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 [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 10 saved (frame_009.jpg, t=20.4s)\n [capture-periodic] freeze=1ms shot=124ms unfreeze=6ms saved=True\n [capture-loop] iter=200 t=22.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (19%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=0.86GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=2\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +202MB (now 202MB) reserved=224MB peak=202MB\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] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (5.57s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 3397 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)"}, {"file": "frame_011.jpg", "time": 25.58, "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 Queuing workflow for execution...\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 [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: 9895e5dd-9a97-44c3-8219-0706afc20ee7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1117/ComfyUI'}\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1117/ComfyUI', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.10/site-packages', '/workspaces/DepthAnythingV3-1117/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ylntqlre/persistent_worker.py', 'abstract://comfy_worker_bdf53b82d7c9']...\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_bdf53b82d7c9 (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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=2.4s)\n [capture-periodic] freeze=2ms shot=130ms unfreeze=4ms saved=True\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.6s)\n [capture-periodic] freeze=2ms shot=136ms unfreeze=4ms 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 [00:03<01:10, 22.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (18%) swap=1.8/32.0GB (6%) cpu=8% browser_rss=0.85GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 16%|\u2588\u258b | 268M/1.64G [00:04<00:18, 73.8MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 4 saved (frame_003.jpg, t=6.9s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=2ms saved=True\n Frame 5 saved (frame_004.jpg, t=9.2s)\n [capture-periodic] freeze=2ms shot=140ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 20%|\u2588\u2588 | 335M/1.64G [00:07<00:27, 47.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=11.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.7/23.4GB (20%) swap=1.8/32.0GB (6%) cpu=10% browser_rss=0.85GB\n Frame 6 saved (frame_005.jpg, t=11.4s)\n [capture-periodic] freeze=1ms shot=128ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 24%|\u2588\u2588\u258d | 402M/1.64G [00:09<00:30, 40.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:10<00:20, 53.6MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 41%|\u2588\u2588\u2588\u2588 | 671M/1.64G [00:11<00:11, 82.7MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 7 saved (frame_006.jpg, t=13.7s)\n [capture-periodic] freeze=2ms shot=131ms unfreeze=2ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 53%|\u2588\u2588\u2588\u2588\u2588\u258e | 872M/1.64G [00:13<00:08, 90.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 8 saved (frame_007.jpg, t=16.0s)\n [capture-periodic] freeze=1ms shot=140ms unfreeze=4ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.07G/1.64G [00:13<00:04, 122MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 73%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 1.21G/1.64G [00:14<00:02, 154MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 78%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 1.27G/1.64G [00:14<00:02, 166MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=150 t=17.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=4.5/23.4GB (19%) swap=1.8/32.0GB (6%) cpu=12% browser_rss=0.86GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 90%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 1.48G/1.64G [00:14<00:00, 247MB/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 [00:14<00:00, 312MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 9 saved (frame_008.jpg, t=18.2s)\n [capture-periodic] freeze=2ms shot=141ms unfreeze=3ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.64G/1.64G [00:16<00:00, 99.3MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (19.02s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\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] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\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 [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', 'parent_pid', 'fd', '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 [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n Frame 10 saved (frame_009.jpg, t=20.4s)\n [capture-periodic] freeze=1ms shot=124ms unfreeze=6ms saved=True\n [capture-loop] iter=200 t=22.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.3/23.4GB (19%) swap=1.8/32.0GB (6%) cpu=13% browser_rss=0.86GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=2\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 7.28GB\n [ComfyUI] [comfy-env] VRAM after eviction: 7.28GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +202MB (now 202MB) reserved=224MB peak=202MB\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] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] Created 1 model patchers: ['DepthAnything3Net_1']\n [ComfyUI] [comfy-env] DepthAnything_V3 done (5.57s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 3397 / 7672 MB\n [ComfyUI] [VRAM] Loaded: SubprocessModel (783 MB)\n Node executed (1 total), capturing...\n [ComfyUI] Prompt executed in 24.87 seconds\n Frame 11 saved (frame_010.jpg, t=25.1s)\n [capture-node] freeze=17ms shot=163ms unfreeze=4ms saved=True"}, {"file": "frame_012.jpg", "time": 28.11551260948181, "log": "Final screenshot"}], "total_time": 25.79}};
|
|
|
|
const inIframe = window !== window.top;
|
|
let currentWorkflow = null;
|
|
let playInterval = null;
|
|
let originalLogContent = '';
|
|
let currentFrameIndex = 0;
|
|
let currentFrames = [];
|
|
let currentTotalTime = 0;
|
|
|
|
function openLightboxByName(name) {
|
|
const w = workflowData[name];
|
|
if (w) openLightbox(w.src, w.title, w.status, w.duration, w.log, w.hardware);
|
|
}
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|
|
|
function openLightbox(src, title, status, duration, logContent, hardware) {
|
|
document.getElementById('lightbox-img').src = src;
|
|
document.getElementById('lightbox-title').textContent = title;
|
|
currentWorkflow = title;
|
|
originalLogContent = logContent;
|
|
|
|
const badge = document.getElementById('lightbox-badge');
|
|
badge.textContent = status;
|
|
badge.className = 'lightbox-badge ' + status;
|
|
|
|
document.getElementById('lightbox-duration').textContent = duration + 's';
|
|
document.getElementById('lightbox-log').textContent = logContent || '(No log available)';
|
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|
const hwEl = document.getElementById('lightbox-hardware');
|
|
if (hardware) {
|
|
const parts = [];
|
|
if (hardware.os) parts.push(hardware.os);
|
|
if (hardware.cpu) parts.push(hardware.cpu);
|
|
if (hardware.gpu) parts.push(hardware.gpu);
|
|
hwEl.textContent = parts.join(' | ');
|
|
} else {
|
|
hwEl.textContent = status === 'skipped' ? '(Did not run on this machine)' : '';
|
|
}
|
|
|
|
const data = videoData[title];
|
|
const videoPlayer = document.getElementById('video-player');
|
|
const lightboxImg = document.getElementById('lightbox-img');
|
|
const lightboxVideo = document.getElementById('lightbox-video');
|
|
|
|
// Reset both modes; the branch below activates one.
|
|
videoPlayer.classList.remove('active');
|
|
lightboxVideo.style.display = 'none';
|
|
lightboxVideo.removeAttribute('src');
|
|
lightboxImg.style.display = '';
|
|
|
|
if (data && data.mp4) {
|
|
// Playable mp4 (desktop runs). Show <video>, hide the
|
|
// frame-slideshow img + slider.
|
|
lightboxVideo.src = 'videos/' + encodeURIComponent(title) + '/' + data.mp4;
|
|
lightboxVideo.style.display = '';
|
|
lightboxImg.style.display = 'none';
|
|
} else if (data && data.frames && data.frames.length > 1) {
|
|
currentFrames = data.frames;
|
|
currentTotalTime = data.total_time || data.frames[data.frames.length - 1].time;
|
|
setupVideoSlider(data.frames, currentTotalTime);
|
|
updateVideoFrameByIndex(title, data.frames.length - 1);
|
|
videoPlayer.classList.add('active');
|
|
}
|
|
|
|
loadResourceGraph(title);
|
|
|
|
// Close image overlay if open
|
|
closeImgOverlay();
|
|
|
|
document.getElementById('lightbox').classList.add('active');
|
|
history.replaceState(null, '', '#' + encodeURIComponent(title));
|
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|
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// Notify parent frames for deep linking
|
|
if (inIframe) {
|
|
window.parent.postMessage({ type: 'comfytest-open', name: title }, '*');
|
|
}
|
|
}
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|
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function buildSliderRange(frames, totalTime) {
|
|
const range = { 'min': frames[0].time };
|
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frames.forEach((frame, idx) => {
|
|
if (idx > 0 && idx < frames.length - 1) {
|
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const pct = (frame.time / totalTime * 100).toFixed(1) + '%';
|
|
range[pct] = frame.time;
|
|
}
|
|
});
|
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range['max'] = frames[frames.length - 1].time;
|
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return range;
|
|
}
|
|
|
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function setupVideoSlider(frames, totalTime) {
|
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const sliderEl = document.getElementById('video-slider');
|
|
|
|
if (sliderEl.noUiSlider) {
|
|
sliderEl.noUiSlider.destroy();
|
|
}
|
|
|
|
const range = buildSliderRange(frames, totalTime);
|
|
|
|
noUiSlider.create(sliderEl, {
|
|
start: frames[frames.length - 1].time,
|
|
snap: true,
|
|
range: range,
|
|
pips: {
|
|
mode: 'range',
|
|
density: 100
|
|
}
|
|
});
|
|
|
|
sliderEl.noUiSlider.on('update', function(values) {
|
|
const time = parseFloat(values[0]);
|
|
const frameIdx = frames.findIndex(f => Math.abs(f.time - time) < 0.01);
|
|
if (frameIdx >= 0 && frameIdx !== currentFrameIndex) {
|
|
currentFrameIndex = frameIdx;
|
|
showFrame(currentWorkflow, frameIdx);
|
|
}
|
|
});
|
|
}
|
|
|
|
function showFrame(workflowName, frameIndex) {
|
|
const data = videoData[workflowName];
|
|
if (!data || !data.frames) return;
|
|
|
|
const frame = data.frames[frameIndex];
|
|
const img = document.getElementById('lightbox-img');
|
|
|
|
const isLastFrame = frameIndex === data.frames.length - 1;
|
|
if (isLastFrame && workflowData[workflowName] && workflowData[workflowName].src) {
|
|
img.src = workflowData[workflowName].src;
|
|
} else {
|
|
img.src = 'videos/' + workflowName + '/' + frame.file;
|
|
}
|
|
|
|
const counter = document.getElementById('video-frame-counter');
|
|
const totalTime = data.total_time || data.frames[data.frames.length - 1].time;
|
|
counter.textContent = frame.time.toFixed(1) + 's / ' + totalTime.toFixed(1) + 's';
|
|
|
|
const logEl = document.getElementById('lightbox-log');
|
|
if (frame.log) {
|
|
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>
|