1733 lines
406 KiB
HTML
1733 lines
406 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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.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 14.285714285714285%, #f85149 14.285714285714285%, #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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|
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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;
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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;
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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;
|
|
}
|
|
|
|
.lightbox-badge {
|
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padding: 0.25rem 0.75rem;
|
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border-radius: 2rem;
|
|
font-size: 0.8rem;
|
|
font-weight: 600;
|
|
text-transform: uppercase;
|
|
}
|
|
|
|
.lightbox-badge.pass {
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background: rgba(63, 185, 80, 0.15);
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color: #3fb950;
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}
|
|
|
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.lightbox-badge.fail {
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background: rgba(248, 81, 73, 0.15);
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color: #f85149;
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}
|
|
|
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.lightbox-duration {
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color: #8ba3c1;
|
|
font-size: 0.85rem;
|
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}
|
|
|
|
.lightbox-log {
|
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background: #0f1923;
|
|
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;
|
|
}
|
|
|
|
.lightbox-log::-webkit-scrollbar {
|
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width: 8px;
|
|
}
|
|
|
|
.lightbox-log::-webkit-scrollbar-track {
|
|
background: #162033;
|
|
border-radius: 4px;
|
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}
|
|
|
|
.lightbox-log::-webkit-scrollbar-thumb {
|
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background: #243656;
|
|
border-radius: 4px;
|
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}
|
|
|
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.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> 2026-05-13 12:43 UTC</span> <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> Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz</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 3090</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: 14.285714285714285%"></div>
|
|
</div>
|
|
<span class="progress-label">14.3%</span>
|
|
</div>
|
|
<div class="stats">
|
|
<span class="stat-badge stat-pass">1 passed</span>
|
|
<span class="stat-badge stat-fail">6 failed</span>
|
|
<span class="stat-total">1/7 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 failed" onclick="openLightboxByName('advanced')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="advanced">advanced</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>73.65s</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>23.79s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('advanced_3d_multiview')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="advanced_3d_multiview">advanced_3d_multiview</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>8.43s</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>9.86s</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>80.53s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('simple')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="simple">simple</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>16.46s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('video_multiview_depth')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="video_multiview_depth">video_multiview_depth</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>102.58s</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">advanced</span>
|
|
<span class="failed-duration">73.65s</span>
|
|
</div>
|
|
<div class="failed-error">Workflow execution failed: {'prompt_id': 'e0c035eb-f05f-41eb-84c6-6805d60bdad1', 'node_id': '12', 'node_type': 'DepthAnything_V3', 'executed': ['3', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 936.80 MiB\nRequested : 223.56 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n ^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1405, in _forward_impl\n fused_main, fused_aux_pyr = self._fuse(resized_feats)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1465, in _fuse\n out = self.scratch.refinenet1(out, l1_rn)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 973, in forward\n y = self.out_conv(y)\n ^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py", line 516, in forward\n return self.forward_comfy_cast_weights(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py", line 509, in forward_comfy_cast_weights\n x = self._conv_forward(input, weight, bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py", line 548, in _conv_forward\n return F.conv2d(\n ^^^^^^^^^\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 936.80 MiB\nRequested : 223.56 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n ^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/workers/subprocess.py", line 674, in call_method\n raise WorkerError(\n'], 'current_inputs': {'normalization_mode': ['V2-Style'], 'resize_method': ['resize'], 'invert_depth': [False], 'keep_model_size': [False], 'da3_model': ["{'model_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}"], 'images': ['tensor([[[[0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]],\n\n [[0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]],\n\n [[0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]],\n\n ...,\n\n [[0.1367, 0.1367, 0.1367],\n [0.2500, 0.2500, 0.2500],\n [0.0352, 0.0352, 0.0352],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]],\n\n [[0.1250, 0.1250, 0.1250],\n [0.1602, 0.1602, 0.1602],\n [0.5234, 0.5234, 0.5234],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]],\n\n [[0.0000, 0.0000, 0.0000],\n [0.0195, 0.0195, 0.0195],\n [0.2266, 0.2266, 0.2266],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]]]])']}, 'current_outputs': ['8', '10', '6', '13', '11', '3', '2', '12', '4', '7', '9'], 'timestamp': 1778675945035}
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Details:
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Workflow: /node/ComfyUI-DepthAnythingV3/workflows/advanced.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">advanced_3d_multiview</span>
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<span class="failed-duration">8.43s</span>
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</div>
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<div class="failed-error">Workflow execution failed: {'prompt_id': '8f73df27-f7c5-4f4f-a571-710b7614e2ce', 'node_id': '39', 'node_type': 'DepthAnythingV3_MultiView', 'executed': ['21', '27', '3'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 978.65 MiB\nRequested : 263.38 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n ^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py", line 128, in execute\n output = model(normalized_images.to(device, dtype=dtype), infer_gs=infer_gs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1405, in _forward_impl\n fused_main, fused_aux_pyr = self._fuse(resized_feats)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1465, in _fuse\n out = self.scratch.refinenet1(out, l1_rn)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 973, in forward\n y = self.out_conv(y)\n ^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py", line 516, in forward\n return self.forward_comfy_cast_weights(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py", line 509, in forward_comfy_cast_weights\n x = self._conv_forward(input, weight, bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py", line 548, in _conv_forward\n return F.conv2d(\n ^^^^^^^^^\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 978.65 MiB\nRequested : 263.38 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n ^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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': [False], 'da3_model': ["{'model_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}"], 'images': ['tensor([[[[0.6157, 0.8706, 1.0000],\n [0.6157, 0.8706, 1.0000],\n [0.6118, 0.8706, 1.0000],\n ...,\n [0.5961, 0.8667, 1.0000],\n [0.5961, 0.8667, 1.0000],\n [0.5961, 0.8667, 1.0000]],\n\n [[0.6157, 0.8706, 1.0000],\n [0.6157, 0.8706, 1.0000],\n [0.6118, 0.8706, 1.0000],\n ...,\n [0.5961, 0.8667, 1.0000],\n [0.5961, 0.8667, 1.0000],\n [0.5961, 0.8667, 1.0000]],\n\n [[0.6118, 0.8706, 1.0000],\n [0.6118, 0.8706, 1.0000],\n [0.6118, 0.8706, 1.0000],\n ...,\n [0.5961, 0.8667, 1.0000],\n [0.5961, 0.8667, 1.0000],\n [0.5961, 0.8667, 1.0000]],\n\n ...,\n\n [[0.3216, 0.4157, 0.4941],\n [0.3216, 0.4157, 0.4941],\n [0.3294, 0.4118, 0.4863],\n ...,\n [0.2863, 0.4039, 0.4980],\n [0.3098, 0.4275, 0.5216],\n [0.3333, 0.4510, 0.5451]],\n\n [[0.3255, 0.4196, 0.4980],\n [0.3216, 0.4157, 0.4941],\n [0.3294, 0.4118, 0.4863],\n ...,\n [0.2275, 0.3451, 0.4392],\n [0.2039, 0.3216, 0.4157],\n [0.2157, 0.3333, 0.4275]],\n\n [[0.3176, 0.4118, 0.4902],\n [0.3216, 0.4157, 0.4941],\n [0.3255, 0.4078, 0.4824],\n ...,\n [0.3137, 0.4314, 0.5255],\n [0.3059, 0.4235, 0.5176],\n [0.2863, 0.4039, 0.4980]]]])', 'tensor([[[[0.6196, 0.8784, 1.0000],\n [0.6196, 0.8784, 1.0000],\n [0.6196, 0.8784, 1.0000],\n ...,\n [0.6000, 0.8784, 1.0000],\n [0.6000, 0.8784, 1.0000],\n [0.6000, 0.8784, 1.0000]],\n\n [[0.6196, 0.8784, 1.0000],\n [0.6196, 0.8784, 1.0000],\n [0.6196, 0.8784, 1.0000],\n ...,\n [0.6000, 0.8784, 1.0000],\n [0.6000, 0.8784, 1.0000],\n [0.6000, 0.8784, 1.0000]],\n\n [[0.6196, 0.8784, 1.0000],\n [0.6196, 0.8784, 1.0000],\n [0.6196, 0.8784, 1.0000],\n ...,\n [0.6000, 0.8784, 1.0000],\n [0.6000, 0.8784, 1.0000],\n [0.6000, 0.8784, 1.0000]],\n\n ...,\n\n [[0.3686, 0.4078, 0.4784],\n [0.3725, 0.4118, 0.4824],\n [0.3686, 0.4078, 0.4784],\n ...,\n [0.2745, 0.4039, 0.4941],\n [0.2941, 0.4235, 0.5137],\n [0.2980, 0.4275, 0.5176]],\n\n [[0.3647, 0.4039, 0.4745],\n [0.3608, 0.4000, 0.4706],\n [0.3647, 0.4039, 0.4745],\n ...,\n [0.3020, 0.4314, 0.5216],\n [0.3255, 0.4549, 0.5451],\n [0.3333, 0.4627, 0.5529]],\n\n [[0.3569, 0.3961, 0.4667],\n [0.3569, 0.3961, 0.4667],\n [0.3569, 0.3961, 0.4667],\n ...,\n [0.3176, 0.4471, 0.5373],\n [0.2941, 0.4235, 0.5137],\n [0.2902, 0.4196, 0.5098]]]])']}, 'current_outputs': ['45', '27', '21', '38', '3', '44', '48', '39'], 'timestamp': 1778675978580}
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Details:
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Workflow: /node/ComfyUI-DepthAnythingV3/workflows/advanced_3d_multiview.json
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Node error: DepthAnythingV3_MultiView</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">bas_relief</span>
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<span class="failed-duration">9.86s</span>
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</div>
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<div class="failed-error">Workflow execution failed: {'prompt_id': 'e951a077-cc16-4dfa-95b5-0f19db309842', 'node_id': '21', 'node_type': 'DepthAnything_V3', 'executed': ['3', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 1.09 GiB\nRequested : 53.07 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n ^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1401, in _forward_impl\n x = self._add_pos_embed(x, W, H)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 1.09 GiB\nRequested : 53.07 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n ^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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/DepthAnythingV3-1231/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 ...,\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 ...,\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 ...,\n [0.5255, 0.4314, 0.3294],\n [0.5255, 0.4471, 0.3412],\n [0.5059, 0.4353, 0.3216]],\n\n ...,\n\n [[0.5294, 0.4196, 0.3059],\n [0.5333, 0.4275, 0.2941],\n [0.5412, 0.4235, 0.2941],\n ...,\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 ...,\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 ...,\n [0.5373, 0.3882, 0.2353],\n [0.5176, 0.3647, 0.2078],\n [0.4745, 0.3176, 0.1765]]]])']}, 'current_outputs': ['30', '27', '21', '32', '3', '2'], 'timestamp': 1778675988895}
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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">80.53s</span>
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</div>
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<div class="failed-error">Workflow execution failed: {'prompt_id': 'd221db26-2dc6-46c6-bcaf-0363bb5f4cb0', 'node_id': '6', 'node_type': 'DepthAnythingV3_Streaming', 'executed': ['3', '5', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 1.24 GiB\nRequested : 175.43 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 22.25 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_c1iflygq/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n ^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py", line 249, in execute\n result = pipeline.run(normalized_images, pbar=pbar,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py", line 277, in run\n result = self._process_chunk(normalized_images, start, end)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py", line 330, in _process_chunk\n output = self.model(chunk_input)\n ^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1560, in forward\n feats, aux_feats = self.backbone(\n ^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 891, in forward\n return self.pretrained.get_intermediate_layers(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 800, in get_intermediate_layers\n outputs, aux_outputs = self._get_intermediate_layers_not_chunked(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 750, in _get_intermediate_layers_not_chunked\n x = self.process_attention(x, blk, "local", pos=l_pos)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 791, in process_attention\n x = block(x, pos=pos, attn_mask=attn_mask)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 521, in forward\n x = x + self.drop_path1(attn_residual_func(x, pos=pos, attn_mask=attn_mask))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 516, in attn_residual_func\n return self.ls1(self.attn(self.norm1(x), pos=pos, attn_mask=attn_mask))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 453, in forward\n x = optimized_attention_for_device(q.device)(q, k, v, heads=self.num_heads, skip_reshape=True)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py", line 139, in wrapper\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py", line 579, in attention_sage\n return attention_pytorch(q, k, v, heads, mask=mask, skip_reshape=True, skip_output_reshape=skip_output_reshape, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py", line 139, in wrapper\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py", line 520, in attention_pytorch\n out = comfy.ops.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0, is_causal=False, **sdpa_extra)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py", line 39, in scaled_dot_product_attention\n return torch.nn.functional.scaled_dot_product_attention(q, k, v, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 1.24 GiB\nRequested : 175.43 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 22.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n ^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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/DepthAnythingV3-1231/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 0x7b7a6df75510>'], 'salad_model': ["{'checkpoint_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/salad/dino_salad.safetensors'}"]}, 'current_outputs': ['6', '3', '2', '5', '4'], 'timestamp': 1778676069429}
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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 class="failed-item">
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<div class="failed-header">
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<span class="failed-name">simple</span>
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<span class="failed-duration">16.46s</span>
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</div>
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<div class="failed-error">Workflow execution failed: {'prompt_id': 'a0f1481b-5b89-44b7-b1bb-acbed3ea49c3', 'node_id': '14', 'node_type': 'DepthAnything_V3', 'executed': ['3', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 936.80 MiB\nRequested : 223.56 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n ^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1405, in _forward_impl\n fused_main, fused_aux_pyr = self._fuse(resized_feats)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1465, in _fuse\n out = self.scratch.refinenet1(out, l1_rn)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 973, in forward\n y = self.out_conv(y)\n ^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py", line 516, in forward\n return self.forward_comfy_cast_weights(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py", line 509, in forward_comfy_cast_weights\n x = self._conv_forward(input, weight, bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py", line 548, in _conv_forward\n return F.conv2d(\n ^^^^^^^^^\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 936.80 MiB\nRequested : 223.56 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n ^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/workers/subprocess.py", line 674, in call_method\n raise WorkerError(\n'], 'current_inputs': {'normalization_mode': ['V2-Style'], 'resize_method': ['resize'], 'invert_depth': [True], 'keep_model_size': [False], 'da3_model': ["{'model_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}"], 'images': ['tensor([[[[0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]],\n\n [[0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]],\n\n [[0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]],\n\n ...,\n\n [[0.1367, 0.1367, 0.1367],\n [0.2500, 0.2500, 0.2500],\n [0.0352, 0.0352, 0.0352],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]],\n\n [[0.1250, 0.1250, 0.1250],\n [0.1602, 0.1602, 0.1602],\n [0.5234, 0.5234, 0.5234],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]],\n\n [[0.0000, 0.0000, 0.0000],\n [0.0195, 0.0195, 0.0195],\n [0.2266, 0.2266, 0.2266],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]]]])']}, 'current_outputs': ['3', '14', '4', '2'], 'timestamp': 1778676086313}
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Details:
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Workflow: /node/ComfyUI-DepthAnythingV3/workflows/simple.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">video_multiview_depth</span>
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<span class="failed-duration">102.58s</span>
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</div>
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<div class="failed-error">Workflow execution failed: {'prompt_id': 'c5aff8bd-26e2-455b-b70d-be80245ee8ea', 'node_id': '62', 'node_type': 'DepthAnythingV3_MultiView', 'executed': ['55', '61', '53', '3', '66', '71'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 1.27 GiB\nRequested : 23.38 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n ^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py", line 128, in execute\n output = model(normalized_images.to(device, dtype=dtype), infer_gs=infer_gs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/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/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1405, in _forward_impl\n fused_main, fused_aux_pyr = self._fuse(resized_feats)\n ^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 1465, in _fuse\n out = self.scratch.refinenet1(out, l1_rn)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 964, in forward\n y = y + self.resConfUnit1(xs[1])\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py", line 920, in forward\n out = self.conv1(out)\n ^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py", line 516, in forward\n return self.forward_comfy_cast_weights(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py", line 509, in forward_comfy_cast_weights\n x = self._conv_forward(input, weight, bias)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py", line 548, in _conv_forward\n return F.conv2d(\n ^^^^^^^^^\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\nCurrently allocated : 1.27 GiB\nRequested : 23.38 MiB\nDevice limit : 23.56 GiB\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n ^^^^^^^^^^^^^^^^^^^\n', ' File "/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/workers/subprocess.py", line 674, in call_method\n raise WorkerError(\n'], 'current_inputs': {'normalization_mode': ['V2-Style'], 'resize_method': ['resize'], 'invert_depth': [False], 'keep_model_size': [False], 'da3_model': ["{'model_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/depthanything3/da3_base.safetensors', 'model_key': 'da3-base', 'dtype': 'bf16', 'attention': 'auto'}"], 'images': ['tensor([[[[0.1333, 0.1569, 0.2314],\n [0.1333, 0.1569, 0.2314],\n [0.1294, 0.1529, 0.2275],\n ...,\n [0.2353, 0.2588, 0.3412],\n [0.2353, 0.2588, 0.3412],\n [0.2353, 0.2588, 0.3412]],\n\n [[0.1412, 0.1647, 0.2392],\n [0.1412, 0.1647, 0.2392],\n [0.1412, 0.1647, 0.2392],\n ...,\n [0.2353, 0.2588, 0.3412],\n [0.2353, 0.2588, 0.3412],\n [0.2353, 0.2588, 0.3412]],\n\n [[0.1333, 0.1451, 0.2235],\n [0.1333, 0.1451, 0.2235],\n [0.1333, 0.1451, 0.2235],\n ...,\n [0.2353, 0.2588, 0.3412],\n [0.2353, 0.2588, 0.3412],\n [0.2353, 0.2588, 0.3412]],\n\n ...,\n\n [[0.2392, 0.2510, 0.3294],\n [0.2510, 0.2627, 0.3412],\n [0.2706, 0.2824, 0.3608],\n ...,\n [0.2078, 0.2196, 0.2980],\n [0.1961, 0.2078, 0.2863],\n [0.1843, 0.1961, 0.2745]],\n\n [[0.2431, 0.2549, 0.3333],\n [0.2588, 0.2706, 0.3490],\n [0.2706, 0.2824, 0.3608],\n ...,\n [0.1961, 0.2078, 0.2784],\n [0.2039, 0.2157, 0.2863],\n [0.1922, 0.2039, 0.2745]],\n\n [[0.2471, 0.2588, 0.3373],\n [0.2627, 0.2745, 0.3529],\n [0.2784, 0.2902, 0.3686],\n ...,\n [0.1843, 0.1961, 0.2667],\n [0.1882, 0.2000, 0.2706],\n [0.1843, 0.1961, 0.2667]]],\n\n\n [[[0.1255, 0.1373, 0.2157],\n [0.1255, 0.1373, 0.2157],\n [0.1255, 0.1373, 0.2157],\n ...,\n [0.2392, 0.2627, 0.3451],\n [0.2392, 0.2627, 0.3451],\n [0.2392, 0.2627, 0.3451]],\n\n [[0.1059, 0.1176, 0.1961],\n [0.1059, 0.1176, 0.1961],\n [0.1059, 0.1176, 0.1961],\n ...,\n [0.2392, 0.2627, 0.3451],\n [0.2392, 0.2627, 0.3451],\n [0.2392, 0.2627, 0.3451]],\n\n [[0.1412, 0.1529, 0.2314],\n [0.1412, 0.1529, 0.2314],\n [0.1412, 0.1529, 0.2314],\n ...,\n [0.2431, 0.2667, 0.3490],\n [0.2431, 0.2667, 0.3490],\n [0.2431, 0.2667, 0.3490]],\n\n ...,\n\n [[0.2235, 0.2353, 0.3137],\n [0.2588, 0.2706, 0.3490],\n [0.2627, 0.2745, 0.3529],\n ...,\n [0.1882, 0.1922, 0.2667],\n [0.1843, 0.1882, 0.2627],\n [0.1843, 0.1882, 0.2627]],\n\n [[0.2471, 0.2588, 0.3373],\n [0.2392, 0.2510, 0.3294],\n [0.2353, 0.2471, 0.3255],\n ...,\n [0.1882, 0.1922, 0.2667],\n [0.1922, 0.1961, 0.2706],\n [0.1922, 0.1961, 0.2706]],\n\n [[0.2431, 0.2549, 0.3333],\n [0.2353, 0.2471, 0.3255],\n [0.2196, 0.2314, 0.3098],\n ...,\n [0.1804, 0.1843, 0.2588],\n [0.1882, 0.1922, 0.2667],\n [0.1922, 0.1961, 0.2706]]],\n\n\n [[[0.1451, 0.1686, 0.2431],\n [0.1451, 0.1686, 0.2431],\n [0.1412, 0.1647, 0.2392],\n ...,\n [0.2510, 0.2745, 0.3569],\n [0.2510, 0.2745, 0.3569],\n [0.2510, 0.2745, 0.3569]],\n\n [[0.1255, 0.1490, 0.2235],\n [0.1333, 0.1569, 0.2314],\n [0.1333, 0.1569, 0.2314],\n ...,\n [0.2510, 0.2745, 0.3569],\n [0.2510, 0.2745, 0.3569],\n [0.2510, 0.2745, 0.3569]],\n\n [[0.1294, 0.1529, 0.2275],\n [0.1412, 0.1647, 0.2392],\n [0.1451, 0.1686, 0.2431],\n ...,\n [0.2510, 0.2745, 0.3569],\n [0.2510, 0.2745, 0.3569],\n [0.2510, 0.2745, 0.3569]],\n\n ...,\n\n [[0.2510, 0.2549, 0.3373],\n [0.2627, 0.2667, 0.3490],\n [0.2627, 0.2667, 0.3490],\n ...,\n [0.1882, 0.2000, 0.2706],\n [0.2039, 0.2157, 0.2863],\n [0.1961, 0.2078, 0.2784]],\n\n [[0.2784, 0.2824, 0.3647],\n [0.2745, 0.2784, 0.3608],\n [0.2745, 0.2784, 0.3608],\n ...,\n [0.1765, 0.1882, 0.2588],\n [0.1804, 0.1922, 0.2627],\n [0.1804, 0.1922, 0.2627]],\n\n [[0.2549, 0.2588, 0.3412],\n [0.2627, 0.2667, 0.3490],\n [0.2745, 0.2784, 0.3608],\n ...,\n [0.1804, 0.1922, 0.2627],\n [0.1882, 0.2000, 0.2706],\n [0.1922, 0.2039, 0.2745]]],\n\n\n ...,\n\n\n [[[0.1098, 0.1216, 0.1922],\n [0.1098, 0.1216, 0.1922],\n [0.1098, 0.1216, 0.1922],\n ...,\n [0.2510, 0.2784, 0.3765],\n [0.2510, 0.2784, 0.3765],\n [0.2510, 0.2784, 0.3765]],\n\n [[0.1098, 0.1216, 0.1922],\n [0.1098, 0.1216, 0.1922],\n [0.1098, 0.1216, 0.1922],\n ...,\n [0.2510, 0.2784, 0.3765],\n [0.2510, 0.2784, 0.3765],\n [0.2510, 0.2784, 0.3765]],\n\n [[0.1059, 0.1176, 0.1882],\n [0.1059, 0.1176, 0.1882],\n [0.1098, 0.1216, 0.1922],\n ...,\n [0.2510, 0.2784, 0.3765],\n [0.2510, 0.2784, 0.3765],\n [0.2510, 0.2784, 0.3765]],\n\n ...,\n\n [[0.2627, 0.2667, 0.3490],\n [0.2549, 0.2588, 0.3412],\n [0.2431, 0.2471, 0.3294],\n ...,\n [0.2078, 0.2196, 0.2980],\n [0.2118, 0.2235, 0.3020],\n [0.2235, 0.2353, 0.3137]],\n\n [[0.2549, 0.2588, 0.3412],\n [0.2549, 0.2588, 0.3412],\n [0.2471, 0.2510, 0.3333],\n ...,\n [0.2078, 0.2196, 0.2980],\n [0.2118, 0.2235, 0.3020],\n [0.2314, 0.2431, 0.3216]],\n\n [[0.2627, 0.2667, 0.3490],\n [0.2549, 0.2588, 0.3412],\n [0.2471, 0.2510, 0.3333],\n ...,\n [0.2235, 0.2353, 0.3137],\n [0.2314, 0.2431, 0.3216],\n [0.2314, 0.2431, 0.3216]]],\n\n\n [[[0.1059, 0.1098, 0.1922],\n [0.1098, 0.1137, 0.1961],\n [0.1176, 0.1216, 0.2039],\n ...,\n [0.2510, 0.2784, 0.3765],\n [0.2510, 0.2784, 0.3765],\n [0.2510, 0.2784, 0.3765]],\n\n [[0.1098, 0.1137, 0.1961],\n [0.1176, 0.1216, 0.2039],\n [0.1255, 0.1294, 0.2118],\n ...,\n [0.2510, 0.2784, 0.3765],\n [0.2510, 0.2784, 0.3765],\n [0.2510, 0.2784, 0.3765]],\n\n [[0.1059, 0.1098, 0.1922],\n [0.1098, 0.1137, 0.1961],\n [0.1176, 0.1216, 0.2039],\n ...,\n [0.2510, 0.2784, 0.3765],\n [0.2510, 0.2784, 0.3765],\n [0.2510, 0.2784, 0.3765]],\n\n ...,\n\n [[0.2118, 0.2157, 0.2980],\n [0.2275, 0.2314, 0.3137],\n [0.2235, 0.2275, 0.3098],\n ...,\n [0.2039, 0.2157, 0.2941],\n [0.2078, 0.2196, 0.2980],\n [0.2157, 0.2275, 0.3059]],\n\n [[0.2745, 0.2784, 0.3608],\n [0.2902, 0.2941, 0.3765],\n [0.2471, 0.2510, 0.3333],\n ...,\n [0.2078, 0.2196, 0.2980],\n [0.2039, 0.2157, 0.2941],\n [0.2078, 0.2196, 0.2980]],\n\n [[0.2471, 0.2510, 0.3333],\n [0.2627, 0.2667, 0.3490],\n [0.2471, 0.2510, 0.3333],\n ...,\n [0.1961, 0.2078, 0.2863],\n [0.1961, 0.2078, 0.2863],\n [0.1961, 0.2078, 0.2863]]],\n\n\n [[[0.1098, 0.1137, 0.1961],\n [0.1098, 0.1137, 0.1961],\n [0.1098, 0.1137, 0.1961],\n ...,\n [0.2196, 0.2471, 0.3373],\n [0.2196, 0.2471, 0.3373],\n [0.2196, 0.2471, 0.3373]],\n\n [[0.1098, 0.1137, 0.1961],\n [0.1098, 0.1137, 0.1961],\n [0.1098, 0.1137, 0.1961],\n ...,\n [0.2196, 0.2471, 0.3373],\n [0.2196, 0.2471, 0.3373],\n [0.2196, 0.2471, 0.3373]],\n\n [[0.1059, 0.1098, 0.1922],\n [0.1059, 0.1098, 0.1922],\n [0.1059, 0.1098, 0.1922],\n ...,\n [0.2235, 0.2510, 0.3412],\n [0.2235, 0.2510, 0.3412],\n [0.2235, 0.2510, 0.3412]],\n\n ...,\n\n [[0.2078, 0.2118, 0.2941],\n [0.2078, 0.2118, 0.2941],\n [0.2196, 0.2235, 0.3059],\n ...,\n [0.2196, 0.2314, 0.3098],\n [0.2314, 0.2431, 0.3216],\n [0.2314, 0.2431, 0.3216]],\n\n [[0.2353, 0.2392, 0.3216],\n [0.2275, 0.2314, 0.3137],\n [0.2392, 0.2431, 0.3255],\n ...,\n [0.1922, 0.2039, 0.2824],\n [0.1961, 0.2078, 0.2863],\n [0.1961, 0.2078, 0.2863]],\n\n [[0.2824, 0.2863, 0.3686],\n [0.2902, 0.2941, 0.3765],\n [0.2745, 0.2784, 0.3608],\n ...,\n [0.2314, 0.2431, 0.3216],\n [0.2392, 0.2510, 0.3294],\n [0.2471, 0.2588, 0.3373]]]])']}, 'current_outputs': ['55', '61', '54', '53', '52', '3', '62', '66', '71'], 'timestamp': 1778676189344}
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Details:
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Workflow: /node/ComfyUI-DepthAnythingV3/workflows/video_multiview_depth.json
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Node error: DepthAnythingV3_MultiView</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">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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</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>
|
|
<span class="lightbox-title" id="lightbox-title"></span>
|
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<span class="lightbox-hardware" id="lightbox-hardware"></span>
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</div>
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<div class="lightbox-meta">
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<span class="lightbox-badge" id="lightbox-badge"></span>
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<span class="lightbox-duration" id="lightbox-duration"></span>
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</div>
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</div>
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<pre class="lightbox-log" id="lightbox-log"></pre>
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</div>
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</div>
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<div class="img-overlay" id="img-overlay">
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<img id="img-overlay-content" src="" alt="">
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</div>
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<footer>
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Generated by <a href="https://github.com/PozzettiAndrea/comfy-test">comfy-test</a>
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</footer>
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<script>
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function setView(mode) {
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const grid = document.getElementById('workflow-grid');
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grid.className = mode === 'list' ? 'workflow-grid view-list' : 'workflow-grid';
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document.querySelectorAll('.view-controls .view-btn').forEach(btn => {
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btn.classList.toggle('active', btn.textContent.trim().toLowerCase() === mode);
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});
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}
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const workflowData = {"advanced": {"src": "", "title": "advanced", "status": "fail", "duration": "73.65", "log": "Capturing execution frames: advanced.json\n [ComfyUI] [DEPRECATION WARNING] Detected import of deprecated legacy API: /extensions/core/widgetInputs.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 11 nodes\n Queuing workflow for execution...\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: ea74b14a-1d8f-46b5-998f-c0877e565cbc\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 22353 / 24124 MB\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/DepthAnythingV3-1231/ComfyUI'}\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/DepthAnythingV3-1231/ComfyUI', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages', '/workspaces/DepthAnythingV3-1231/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_c1iflygq/persistent_worker.py', 'abstract://comfy_worker_dbc1c1ce7155']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_dbc1c1ce7155 (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 Frame 2 saved (frame_001.jpg, t=2.5s)\n [capture-periodic] freeze=4ms shot=210ms unfreeze=5ms saved=True\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 [ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.9s)\n [capture-periodic] freeze=4ms shot=198ms unfreeze=11ms saved=True\n [capture-loop] iter=50 t=6.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=24.8/31.2GB (80%) swap=19.8/32.0GB (62%) cpu=6% browser_rss=0.85GB\n [ComfyUI] model.safetensors: 0%| | 0.00/1.64G [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 8%|\u258a | 134M/1.64G [00:03<00:39, 38.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 4 saved (frame_003.jpg, t=9.4s)\n [capture-periodic] freeze=4ms shot=195ms unfreeze=6ms saved=True\n [capture-loop] iter=100 t=12.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=24.8/31.2GB (79%) swap=20.2/32.0GB (63%) cpu=9% browser_rss=0.85GB\n [capture-loop] iter=150 t=18.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=25.1/31.2GB (81%) swap=20.3/32.0GB (64%) cpu=6% browser_rss=0.85GB\n [capture-loop] iter=200 t=24.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=25.1/31.2GB (81%) swap=20.5/32.0GB (64%) cpu=4% browser_rss=0.78GB\n [ComfyUI] \n [capture-loop] iter=250 t=30.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=25.2/31.2GB (81%) swap=20.5/32.0GB (64%) cpu=3% browser_rss=0.78GB\n [capture-loop] iter=300 t=35.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=24.9/31.2GB (80%) swap=20.6/32.0GB (64%) cpu=3% browser_rss=0.78GB\n [ComfyUI] model.safetensors: 8%|\u258a | 134M/1.64G [00:19<00:39, 38.0MB/s]\n [ComfyUI] model.safetensors: 33%|\u2588\u2588\u2588\u258e | 537M/1.64G [00:31<01:08, 16.2MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 5 saved (frame_004.jpg, t=36.3s)\n [capture-periodic] freeze=4ms shot=191ms unfreeze=5ms saved=True\n [capture-loop] iter=350 t=41.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=24.7/31.2GB (79%) swap=20.6/32.0GB (64%) cpu=3% browser_rss=0.78GB\n [capture-loop] iter=400 t=47.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=24.8/31.2GB (80%) swap=20.6/32.0GB (64%) cpu=2% browser_rss=0.78GB\n [capture-loop] iter=450 t=53.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=24.3/31.2GB (78%) swap=20.9/32.0GB (65%) cpu=3% browser_rss=0.78GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.64G/1.64G [00:49<00:00, 37.1MB/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 [00:49<00:00, 33.2MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (53.29s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 22614 / 24124 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: 22614 / 24124 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 6 saved (frame_005.jpg, t=54.2s)\n [capture-periodic] freeze=2ms shot=159ms unfreeze=7ms saved=True\n [capture-loop] iter=500 t=59.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=23.5/31.2GB (75%) swap=21.0/32.0GB (66%) cpu=7% browser_rss=0.78GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=2\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.58GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.58GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 1 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x00007e0653e76640 (most recent call first):\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 331 in wait\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 629 in wait\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1045 in _bootstrap_inner\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1002 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00007e080a39a640 (most recent call first):\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 106 in _vram_poller\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 982 in run\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1045 in _bootstrap_inner\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1002 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x00007e080ab9f640 (most recent call first):\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 982 in run\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1045 in _bootstrap_inner\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1002 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00007e080b1bf740 (most recent call first):\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/model_management.py\", line 1388 in pin_memory\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/model_patcher.py\", line 765 in pin_weight_to_device\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/model_patcher.py\", line 922 in load\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/model_patcher.py\", line 1110 in partially_load\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/model_management.py\", line 607 in model_use_more_vram\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/model_management.py\", line 579 in model_load\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/model_management.py\", line 817 in load_models_gpu\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 1539 in _shimmed_load_models_gpu\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 89 in execute\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +267MB (now 267MB) reserved=288MB peak=267MB\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] +324MB (now 591MB) reserved=736MB peak=591MB\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 : 936.80 MiB\n [ComfyUI] Requested : 223.56 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [capture-loop] iter=550 t=65.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=24.0/31.2GB (77%) swap=21.6/32.0GB (67%) cpu=5% browser_rss=0.78GB\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\n [ComfyUI] fused_main, fused_aux_pyr = self._fuse(resized_feats)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\n [ComfyUI] out = self.scratch.refinenet1(out, l1_rn)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 973, in forward\n [ComfyUI] y = self.out_conv(y)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\n [ComfyUI] return self.forward_comfy_cast_weights(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\n [ComfyUI] x = self._conv_forward(input, weight, bias)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\n [ComfyUI] return F.conv2d(\n [ComfyUI] ^^^^^^^^^\n [ComfyUI] torch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 936.80 MiB\n [ComfyUI] Requested : 223.56 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 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/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] ^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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 : 936.80 MiB\n [ComfyUI] Requested : 223.56 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\n [ComfyUI] fused_main, fused_aux_pyr = self._fuse(resized_feats)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\n [ComfyUI] out = self.scratch.refinenet1(out, l1_rn)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 973, in forward\n [ComfyUI] y = self.out_conv(y)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\n [ComfyUI] return self.forward_comfy_cast_weights(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\n [ComfyUI] x = self._conv_forward(input, weight, bias)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\n [ComfyUI] return F.conv2d(\n [ComfyUI] ^^^^^^^^^\n [ComfyUI] torch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 936.80 MiB\n [ComfyUI] Requested : 223.56 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 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 64.60 seconds\n Frame 7 saved (frame_006.jpg, t=65.3s)\n [capture-periodic] freeze=3ms shot=276ms unfreeze=3ms saved=True\n Execution complete (t=65.8s)\n Execution error: {'prompt_id': 'e0c035eb-f05f-41eb-84c6-6805d60bdad1', 'node_id': '12', 'node_type': 'DepthAnything_V3', 'executed': ['3', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 936.80 MiB\\nRequested : 223.56 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\\n fused_main, fused_aux_pyr = self._fuse(resized_feats)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\\n out = self.scratch.refinenet1(out, l1_rn)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 973, in forward\\n y = self.out_conv(y)\\n ^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\\n return self.forward_comfy_cast_weights(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\\n x = self._conv_forward(input, weight, bias)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\\n return F.conv2d(\\n ^^^^^^^^^\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 936.80 MiB\\nRequested : 223.56 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'normalization_mode': ['V2-Style'], 'resize_method': ['resize'], 'invert_depth': [False], 'keep_model_size': [False], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'images': ['tensor([[[[0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n ...,\\n\\n [[0.1367, 0.1367, 0.1367],\\n [0.2500, 0.2500, 0.2500],\\n [0.0352, 0.0352, 0.0352],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.1250, 0.1250, 0.1250],\\n [0.1602, 0.1602, 0.1602],\\n [0.5234, 0.5234, 0.5234],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.0000, 0.0000, 0.0000],\\n [0.0195, 0.0195, 0.0195],\\n [0.2266, 0.2266, 0.2266],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]]]])']}, 'current_outputs': ['8', '10', '6', '13', '11', '3', '2', '12', '4', '7', '9'], 'timestamp': 1778675945035}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'e0c035eb-f05f-41eb-84c6-6805d60bdad1', 'node_id': '12', 'node_type': 'DepthAnything_V3', 'executed': ['3', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 936.80 MiB\\nRequested : 223.56 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\\n fused_main, fused_aux_pyr = self._fuse(resized_feats)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\\n out = self.scratch.refinenet1(out, l1_rn)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 973, in forward\\n y = self.out_conv(y)\\n ^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\\n return self.forward_comfy_cast_weights(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\\n x = self._conv_forward(input, weight, bias)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\\n return F.conv2d(\\n ^^^^^^^^^\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 936.80 MiB\\nRequested : 223.56 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'normalization_mode': ['V2-Style'], 'resize_method': ['resize'], 'invert_depth': [False], 'keep_model_size': [False], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'images': ['tensor([[[[0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n ...,\\n\\n [[0.1367, 0.1367, 0.1367],\\n [0.2500, 0.2500, 0.2500],\\n [0.0352, 0.0352, 0.0352],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.1250, 0.1250, 0.1250],\\n [0.1602, 0.1602, 0.1602],\\n [0.5234, 0.5234, 0.5234],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.0000, 0.0000, 0.0000],\\n [0.0195, 0.0195, 0.0195],\\n [0.2266, 0.2266, 0.2266],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]]]])']}, 'current_outputs': ['8', '10', '6', '13', '11', '3', '2', '12', '4', '7', '9'], 'timestamp': 1778675945035}\n Details: Workflow: /node/ComfyUI-DepthAnythingV3/workflows/advanced.json\nNode error: DepthAnything_V3", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz", "gpu": "NVIDIA GeForce RTX 3090"}}, "advanced_3d": {"src": "screenshots/advanced_3d_executed.png", "title": "advanced_3d", "status": "pass", "duration": "23.79", "log": "Capturing execution frames: advanced_3d.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n 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: 284563ef-cb5a-4376-82a0-92f0b24885f8\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1231/ComfyUI', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\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_c1iflygq/persistent_worker.py', 'abstract://comfy_worker_b16e62a691da']...\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_b16e62a691da (abstract, no filesystem path)\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 24106 / 24124 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] [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=3 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=3ms shot=206ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (2.51s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 22614 / 24124 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: 22614 / 24124 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=4 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 3 saved (frame_002.jpg, t=4.7s)\n [capture-periodic] freeze=4ms shot=205ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=23.4/31.2GB (75%) swap=21.8/32.0GB (68%) cpu=6% browser_rss=0.91GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=4\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.58GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.58GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +267MB (now 267MB) reserved=288MB peak=267MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +206MB (now 473MB) reserved=576MB peak=473MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=4\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnything_V3 done (6.04s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 24042 / 24124 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: 24042 / 24124 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=5 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, 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 (0.25s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_ToPointCloud: 24042 / 24124 MB\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [VRAM] Before DA3_SavePointCloud: 24042 / 24124 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=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=[311069, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311069, 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=[311069]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311069])\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=[311069, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311069, 3])\n Frame 4 saved (frame_003.jpg, t=9.3s)\n [capture-periodic] freeze=3ms shot=199ms unfreeze=7ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (3.00s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_SavePointCloud: 24042 / 24124 MB\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/workspaces/DepthAnythingV3-1231/ComfyUI/output/pointclo..., color_mode: 'RGB'\n [ComfyUI] [VRAM] Before DA3_PreviewPointCloud: 24042 / 24124 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=7 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.07s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_PreviewPointCloud: 24042 / 24124 MB\n [ComfyUI] Prompt executed in 11.91 seconds\n [capture-loop] iter=100 t=12.2s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=17 ram=24.0/31.2GB (77%) swap=21.8/32.0GB (68%) cpu=6% browser_rss=0.91GB\n Node executed (2 total), capturing...\n Frame 5 saved (frame_004.jpg, t=12.4s)\n [capture-node] freeze=4ms shot=253ms unfreeze=1226ms saved=True\n Execution complete (t=14.1s)\n Captured 5 unique frames over 14.1s\n [debug] iframes: 1\n [debug] iframe[0]: src=http://127.0.0.1:41884/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_executed.png\n [timing] final_screenshot: 0.5s\n Captured 6 video frames", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz", "gpu": "NVIDIA GeForce RTX 3090"}}, "advanced_3d_multiview": {"src": "", "title": "advanced_3d_multiview", "status": "fail", "duration": "8.43", "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: bff03c41-a1dd-4587-8a3e-de4d30aa9d99\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: 24042 / 24124 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=8 sending call_method\n Node executed (1 total), capturing...\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.11s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 24042 / 24124 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: 24042 / 24124 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=9 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=9\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 0.09GB\n [ComfyUI] [comfy-env] VRAM after eviction: 0.09GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -270MB (now 203MB) reserved=320MB peak=522MB\n Frame 2 saved (frame_001.jpg, t=0.9s)\n [capture-node] freeze=4ms shot=209ms unfreeze=3ms saved=True\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 : 978.65 MiB\n [ComfyUI] Requested : 263.38 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128, in execute\n [ComfyUI] output = model(normalized_images.to(device, dtype=dtype), infer_gs=infer_gs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n Execution complete (t=1.5s)\n Execution error: {'prompt_id': '8f73df27-f7c5-4f4f-a571-710b7614e2ce', 'node_id': '39', 'node_type': 'DepthAnythingV3_MultiView', 'executed': ['21', '27', '3'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 978.65 MiB\\nRequested : 263.38 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128, in execute\\n output = model(normalized_images.to(device, dtype=dtype), infer_gs=infer_gs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\\n fused_main, fused_aux_pyr = self._fuse(resized_feats)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\\n out = self.scratch.refinenet1(out, l1_rn)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 973, in forward\\n y = self.out_conv(y)\\n ^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\\n return self.forward_comfy_cast_weights(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\\n x = self._conv_forward(input, weight, bias)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\\n return F.conv2d(\\n ^^^^^^^^^\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 978.65 MiB\\nRequested : 263.38 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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': [False], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'images': ['tensor([[[[0.6157, 0.8706, 1.0000],\\n [0.6157, 0.8706, 1.0000],\\n [0.6118, 0.8706, 1.0000],\\n ...,\\n [0.5961, 0.8667, 1.0000],\\n [0.5961, 0.8667, 1.0000],\\n [0.5961, 0.8667, 1.0000]],\\n\\n [[0.6157, 0.8706, 1.0000],\\n [0.6157, 0.8706, 1.0000],\\n [0.6118, 0.8706, 1.0000],\\n ...,\\n [0.5961, 0.8667, 1.0000],\\n [0.5961, 0.8667, 1.0000],\\n [0.5961, 0.8667, 1.0000]],\\n\\n [[0.6118, 0.8706, 1.0000],\\n [0.6118, 0.8706, 1.0000],\\n [0.6118, 0.8706, 1.0000],\\n ...,\\n [0.5961, 0.8667, 1.0000],\\n [0.5961, 0.8667, 1.0000],\\n [0.5961, 0.8667, 1.0000]],\\n\\n ...,\\n\\n [[0.3216, 0.4157, 0.4941],\\n [0.3216, 0.4157, 0.4941],\\n [0.3294, 0.4118, 0.4863],\\n ...,\\n [0.2863, 0.4039, 0.4980],\\n [0.3098, 0.4275, 0.5216],\\n [0.3333, 0.4510, 0.5451]],\\n\\n [[0.3255, 0.4196, 0.4980],\\n [0.3216, 0.4157, 0.4941],\\n [0.3294, 0.4118, 0.4863],\\n ...,\\n [0.2275, 0.3451, 0.4392],\\n [0.2039, 0.3216, 0.4157],\\n [0.2157, 0.3333, 0.4275]],\\n\\n [[0.3176, 0.4118, 0.4902],\\n [0.3216, 0.4157, 0.4941],\\n [0.3255, 0.4078, 0.4824],\\n ...,\\n [0.3137, 0.4314, 0.5255],\\n [0.3059, 0.4235, 0.5176],\\n [0.2863, 0.4039, 0.4980]]]])', 'tensor([[[[0.6196, 0.8784, 1.0000],\\n [0.6196, 0.8784, 1.0000],\\n [0.6196, 0.8784, 1.0000],\\n ...,\\n [0.6000, 0.8784, 1.0000],\\n [0.6000, 0.8784, 1.0000],\\n [0.6000, 0.8784, 1.0000]],\\n\\n [[0.6196, 0.8784, 1.0000],\\n [0.6196, 0.8784, 1.0000],\\n [0.6196, 0.8784, 1.0000],\\n ...,\\n [0.6000, 0.8784, 1.0000],\\n [0.6000, 0.8784, 1.0000],\\n [0.6000, 0.8784, 1.0000]],\\n\\n [[0.6196, 0.8784, 1.0000],\\n [0.6196, 0.8784, 1.0000],\\n [0.6196, 0.8784, 1.0000],\\n ...,\\n [0.6000, 0.8784, 1.0000],\\n [0.6000, 0.8784, 1.0000],\\n [0.6000, 0.8784, 1.0000]],\\n\\n ...,\\n\\n [[0.3686, 0.4078, 0.4784],\\n [0.3725, 0.4118, 0.4824],\\n [0.3686, 0.4078, 0.4784],\\n ...,\\n [0.2745, 0.4039, 0.4941],\\n [0.2941, 0.4235, 0.5137],\\n [0.2980, 0.4275, 0.5176]],\\n\\n [[0.3647, 0.4039, 0.4745],\\n [0.3608, 0.4000, 0.4706],\\n [0.3647, 0.4039, 0.4745],\\n ...,\\n [0.3020, 0.4314, 0.5216],\\n [0.3255, 0.4549, 0.5451],\\n [0.3333, 0.4627, 0.5529]],\\n\\n [[0.3569, 0.3961, 0.4667],\\n [0.3569, 0.3961, 0.4667],\\n [0.3569, 0.3961, 0.4667],\\n ...,\\n [0.3176, 0.4471, 0.5373],\\n [0.2941, 0.4235, 0.5137],\\n [0.2902, 0.4196, 0.5098]]]])']}, 'current_outputs': ['45', '27', '21', '38', '3', '44', '48', '39'], 'timestamp': 1778675978580}\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': '8f73df27-f7c5-4f4f-a571-710b7614e2ce', 'node_id': '39', 'node_type': 'DepthAnythingV3_MultiView', 'executed': ['21', '27', '3'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 978.65 MiB\\nRequested : 263.38 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128, in execute\\n output = model(normalized_images.to(device, dtype=dtype), infer_gs=infer_gs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\\n fused_main, fused_aux_pyr = self._fuse(resized_feats)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\\n out = self.scratch.refinenet1(out, l1_rn)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 973, in forward\\n y = self.out_conv(y)\\n ^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\\n return self.forward_comfy_cast_weights(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\\n x = self._conv_forward(input, weight, bias)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\\n return F.conv2d(\\n ^^^^^^^^^\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 978.65 MiB\\nRequested : 263.38 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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': [False], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'images': ['tensor([[[[0.6157, 0.8706, 1.0000],\\n [0.6157, 0.8706, 1.0000],\\n [0.6118, 0.8706, 1.0000],\\n ...,\\n [0.5961, 0.8667, 1.0000],\\n [0.5961, 0.8667, 1.0000],\\n [0.5961, 0.8667, 1.0000]],\\n\\n [[0.6157, 0.8706, 1.0000],\\n [0.6157, 0.8706, 1.0000],\\n [0.6118, 0.8706, 1.0000],\\n ...,\\n [0.5961, 0.8667, 1.0000],\\n [0.5961, 0.8667, 1.0000],\\n [0.5961, 0.8667, 1.0000]],\\n\\n [[0.6118, 0.8706, 1.0000],\\n [0.6118, 0.8706, 1.0000],\\n [0.6118, 0.8706, 1.0000],\\n ...,\\n [0.5961, 0.8667, 1.0000],\\n [0.5961, 0.8667, 1.0000],\\n [0.5961, 0.8667, 1.0000]],\\n\\n ...,\\n\\n [[0.3216, 0.4157, 0.4941],\\n [0.3216, 0.4157, 0.4941],\\n [0.3294, 0.4118, 0.4863],\\n ...,\\n [0.2863, 0.4039, 0.4980],\\n [0.3098, 0.4275, 0.5216],\\n [0.3333, 0.4510, 0.5451]],\\n\\n [[0.3255, 0.4196, 0.4980],\\n [0.3216, 0.4157, 0.4941],\\n [0.3294, 0.4118, 0.4863],\\n ...,\\n [0.2275, 0.3451, 0.4392],\\n [0.2039, 0.3216, 0.4157],\\n [0.2157, 0.3333, 0.4275]],\\n\\n [[0.3176, 0.4118, 0.4902],\\n [0.3216, 0.4157, 0.4941],\\n [0.3255, 0.4078, 0.4824],\\n ...,\\n [0.3137, 0.4314, 0.5255],\\n [0.3059, 0.4235, 0.5176],\\n [0.2863, 0.4039, 0.4980]]]])', 'tensor([[[[0.6196, 0.8784, 1.0000],\\n [0.6196, 0.8784, 1.0000],\\n [0.6196, 0.8784, 1.0000],\\n ...,\\n [0.6000, 0.8784, 1.0000],\\n [0.6000, 0.8784, 1.0000],\\n [0.6000, 0.8784, 1.0000]],\\n\\n [[0.6196, 0.8784, 1.0000],\\n [0.6196, 0.8784, 1.0000],\\n [0.6196, 0.8784, 1.0000],\\n ...,\\n [0.6000, 0.8784, 1.0000],\\n [0.6000, 0.8784, 1.0000],\\n [0.6000, 0.8784, 1.0000]],\\n\\n [[0.6196, 0.8784, 1.0000],\\n [0.6196, 0.8784, 1.0000],\\n [0.6196, 0.8784, 1.0000],\\n ...,\\n [0.6000, 0.8784, 1.0000],\\n [0.6000, 0.8784, 1.0000],\\n [0.6000, 0.8784, 1.0000]],\\n\\n ...,\\n\\n [[0.3686, 0.4078, 0.4784],\\n [0.3725, 0.4118, 0.4824],\\n [0.3686, 0.4078, 0.4784],\\n ...,\\n [0.2745, 0.4039, 0.4941],\\n [0.2941, 0.4235, 0.5137],\\n [0.2980, 0.4275, 0.5176]],\\n\\n [[0.3647, 0.4039, 0.4745],\\n [0.3608, 0.4000, 0.4706],\\n [0.3647, 0.4039, 0.4745],\\n ...,\\n [0.3020, 0.4314, 0.5216],\\n [0.3255, 0.4549, 0.5451],\\n [0.3333, 0.4627, 0.5529]],\\n\\n [[0.3569, 0.3961, 0.4667],\\n [0.3569, 0.3961, 0.4667],\\n [0.3569, 0.3961, 0.4667],\\n ...,\\n [0.3176, 0.4471, 0.5373],\\n [0.2941, 0.4235, 0.5137],\\n [0.2902, 0.4196, 0.5098]]]])']}, 'current_outputs': ['45', '27', '21', '38', '3', '44', '48', '39'], 'timestamp': 1778675978580}\n Details: Workflow: /node/ComfyUI-DepthAnythingV3/workflows/advanced_3d_multiview.json\nNode error: DepthAnythingV3_MultiView\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\n [ComfyUI] fused_main, fused_aux_pyr = self._fuse(resized_feats)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\n [ComfyUI] out = self.scratch.refinenet1(out, l1_rn)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 973, in forward\n [ComfyUI] y = self.out_conv(y)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\n [ComfyUI] return self.forward_comfy_cast_weights(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\n [ComfyUI] x = self._conv_forward(input, weight, bias)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\n [ComfyUI] return F.conv2d(", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz", "gpu": "NVIDIA GeForce RTX 3090"}}, "bas_relief": {"src": "", "title": "bas_relief", "status": "fail", "duration": "9.86", "log": "Capturing execution frames: bas_relief.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 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 [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: ffad7df7-dbd5-448d-891c-f9c26cd27f3f\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: 24106 / 24124 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=10 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.10s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 24106 / 24124 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: 24106 / 24124 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=11 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] [SubprocessWorker] callback 'request_vram_budget' from call_id=11\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 0.02GB\n [ComfyUI] [comfy-env] VRAM after eviction: 0.02GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +380MB (now 583MB) reserved=768MB peak=583MB\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 : 1.09 GiB\n [ComfyUI] Requested : 53.07 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n Execution complete (t=2.0s)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n Execution error: {'prompt_id': 'e951a077-cc16-4dfa-95b5-0f19db309842', 'node_id': '21', 'node_type': 'DepthAnything_V3', 'executed': ['3', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 1.09 GiB\\nRequested : 53.07 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1401, in _forward_impl\\n x = self._add_pos_embed(x, W, H)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 1.09 GiB\\nRequested : 53.07 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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/DepthAnythingV3-1231/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 ...,\\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 ...,\\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 ...,\\n [0.5255, 0.4314, 0.3294],\\n [0.5255, 0.4471, 0.3412],\\n [0.5059, 0.4353, 0.3216]],\\n\\n ...,\\n\\n [[0.5294, 0.4196, 0.3059],\\n [0.5333, 0.4275, 0.2941],\\n [0.5412, 0.4235, 0.2941],\\n ...,\\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 ...,\\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 ...,\\n [0.5373, 0.3882, 0.2353],\\n [0.5176, 0.3647, 0.2078],\\n [0.4745, 0.3176, 0.1765]]]])']}, 'current_outputs': ['30', '27', '21', '32', '3', '2'], 'timestamp': 1778675988895}\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'e951a077-cc16-4dfa-95b5-0f19db309842', 'node_id': '21', 'node_type': 'DepthAnything_V3', 'executed': ['3', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 1.09 GiB\\nRequested : 53.07 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1401, in _forward_impl\\n x = self._add_pos_embed(x, W, H)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 1.09 GiB\\nRequested : 53.07 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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/DepthAnythingV3-1231/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 ...,\\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 ...,\\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 ...,\\n [0.5255, 0.4314, 0.3294],\\n [0.5255, 0.4471, 0.3412],\\n [0.5059, 0.4353, 0.3216]],\\n\\n ...,\\n\\n [[0.5294, 0.4196, 0.3059],\\n [0.5333, 0.4275, 0.2941],\\n [0.5412, 0.4235, 0.2941],\\n ...,\\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 ...,\\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 ...,\\n [0.5373, 0.3882, 0.2353],\\n [0.5176, 0.3647, 0.2078],\\n [0.4745, 0.3176, 0.1765]]]])']}, 'current_outputs': ['30', '27', '21', '32', '3', '2'], 'timestamp': 1778675988895}\n Details: Workflow: /node/ComfyUI-DepthAnythingV3/workflows/bas_relief.json\nNode error: DepthAnything_V3\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1401, in _forward_impl\n [ComfyUI] x = self._add_pos_embed(x, W, H)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] torch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 1.09 GiB\n [ComfyUI] Requested : 53.07 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 MiB", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz", "gpu": "NVIDIA GeForce RTX 3090"}}, "da3_streaming": {"src": "", "title": "da3_streaming", "status": "fail", "duration": "80.53", "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 Queuing workflow for execution...\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 [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] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Node 6: DepthAnythingV3_Streaming\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1231/ComfyUI', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\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] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Generated prompt_id: ffe6fd91-1e21-46b9-864a-4cde5948a389\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_c1iflygq/persistent_worker.py', 'abstract://comfy_worker_8bf0e56c5d2a']...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_8bf0e56c5d2a (abstract, no filesystem path)\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: 24106 / 24124 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] [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=12 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.5s)\n [capture-periodic] freeze=3ms shot=195ms unfreeze=7ms saved=True\n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.8s)\n [capture-periodic] freeze=4ms shot=222ms unfreeze=7ms saved=True\n [capture-loop] iter=50 t=6.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=22.7/31.2GB (73%) swap=22.1/32.0GB (69%) cpu=7% browser_rss=0.94GB\n [capture-loop] iter=100 t=12.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=22.9/31.2GB (73%) swap=22.1/32.0GB (69%) cpu=6% browser_rss=0.93GB\n [capture-loop] iter=150 t=18.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=22.9/31.2GB (74%) swap=22.1/32.0GB (69%) cpu=4% browser_rss=0.90GB\n [capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=22.9/31.2GB (74%) swap=22.1/32.0GB (69%) cpu=6% browser_rss=0.90GB\n [capture-loop] iter=250 t=29.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=23.0/31.2GB (74%) swap=22.1/32.0GB (69%) cpu=4% browser_rss=0.90GB\n [capture-loop] iter=300 t=35.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=22.9/31.2GB (74%) swap=22.1/32.0GB (69%) cpu=4% browser_rss=0.90GB\n [capture-loop] iter=350 t=41.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=22.9/31.2GB (73%) swap=22.1/32.0GB (69%) cpu=4% browser_rss=0.90GB\n [capture-loop] iter=400 t=47.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=22.8/31.2GB (73%) swap=22.1/32.0GB (69%) cpu=5% browser_rss=0.90GB\n [capture-loop] iter=450 t=53.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=23.0/31.2GB (74%) swap=22.1/32.0GB (69%) cpu=7% browser_rss=0.90GB\n [capture-loop] iter=500 t=59.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=23.0/31.2GB (74%) swap=22.1/32.0GB (69%) cpu=5% browser_rss=0.90GB\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 [00:56<00:32, 3.96MB/s][SubprocessWorker] callback 'report_progress' from call_id=12\n [ComfyUI] \n [ComfyUI] dino_salad.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 352M/352M [00:56<00:00, 7.20MB/s][SubprocessWorker] callback 'report_progress' from call_id=12\n [ComfyUI] \n [ComfyUI] dino_salad.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 352M/352M [00:56<00:00, 6.23MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] LoadSALADModel done (59.41s): result: NodeOutput\n [ComfyUI] [VRAM] After LoadSALADModel: 22614 / 24124 MB\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 22614 / 24124 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=13 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (0.10s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 22614 / 24124 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: 22614 / 24124 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=14 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 1 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x0000782d43844640 (most recent call first):\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 331 in wait\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 629 in wait\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1045 in _bootstrap_inner\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1002 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x0000782ef9e76640 (most recent call first):\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 106 in _vram_poller\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 982 in run\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1045 in _bootstrap_inner\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1002 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x0000782efa67b640 (most recent call first):\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 982 in run\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1045 in _bootstrap_inner\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1002 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x0000782efac9b740 (most recent call first):\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_input_impl/video_types.py\", line 308 in get_components_internal\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_input_impl/video_types.py\", line 366 in get_components\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py\", line 170 in execute\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n Frame 4 saved (frame_003.jpg, t=60.6s)\n [capture-periodic] freeze=2ms shot=144ms unfreeze=6ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n [capture-loop] iter=550 t=64.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=24.4/31.2GB (78%) swap=22.9/32.0GB (72%) cpu=10% browser_rss=0.91GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=14\n [ComfyUI] [comfy-env] VRAM request: 1.17GB, free before eviction: 1.58GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.58GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +270MB (now 270MB) reserved=288MB peak=270MB\n [capture-loop] iter=600 t=70.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=24.3/31.2GB (78%) swap=25.7/32.0GB (80%) cpu=11% browser_rss=0.85GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=14\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +278MB (now 549MB) reserved=576MB peak=549MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Error running sage attention: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 1.24 GiB\n [ComfyUI] Requested : 175.43 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 22.25 MiB\n [ComfyUI] PyTorch limit (set by user-supplied memory fraction)\n [ComfyUI] : 17179869184.00 GiB, using pytorch attention instead.\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 : 1.24 GiB\n [ComfyUI] Requested : 175.43 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 22.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py\", line 249, in execute\n [ComfyUI] result = pipeline.run(normalized_images, pbar=pbar,\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 330, in _process_chunk\n [ComfyUI] output = self.model(chunk_input)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1560, in forward\n [ComfyUI] feats, aux_feats = self.backbone(\n [ComfyUI] ^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 891, in forward\n [ComfyUI] return self.pretrained.get_intermediate_layers(\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 800, in get_intermediate_layers\n [ComfyUI] outputs, aux_outputs = self._get_intermediate_layers_not_chunked(\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 750, in _get_intermediate_layers_not_chunked\n [ComfyUI] x = self.process_attention(x, blk, \"local\", pos=l_pos)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 791, in process_attention\n [ComfyUI] x = block(x, pos=pos, attn_mask=attn_mask)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 521, in forward\n [ComfyUI] x = x + self.drop_path1(attn_residual_func(x, pos=pos, attn_mask=attn_mask))\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 516, in attn_residual_func\n [ComfyUI] return self.ls1(self.attn(self.norm1(x), pos=pos, attn_mask=attn_mask))\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 453, in forward\n [ComfyUI] x = optimized_attention_for_device(q.device)(q, k, v, heads=self.num_heads, skip_reshape=True)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py\", line 139, in wrapper\n [ComfyUI] return func(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py\", line 579, in attention_sage\n [ComfyUI] return attention_pytorch(q, k, v, heads, mask=mask, skip_reshape=True, skip_output_reshape=skip_output_reshape, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py\", line 139, in wrapper\n [ComfyUI] return func(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py\", line 520, in attention_pytorch\n [ComfyUI] out = comfy.ops.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0, is_causal=False, **sdpa_extra)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 39, in scaled_dot_product_attention\n [ComfyUI] return torch.nn.functional.scaled_dot_product_attention(q, k, v, *args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] torch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 1.24 GiB\n [ComfyUI] Requested : 175.43 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 22.25 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/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] ^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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 : 1.24 GiB\n [ComfyUI] Requested : 175.43 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 22.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py\", line 249, in execute\n [ComfyUI] result = pipeline.run(normalized_images, pbar=pbar,\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 330, in _process_chunk\n [ComfyUI] output = self.model(chunk_input)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1560, in forward\n [ComfyUI] feats, aux_feats = self.backbone(\n [ComfyUI] ^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n Execution complete (t=73.0s)\n [ComfyUI] return forward_call(*args, **kwargs)\n Execution error: {'prompt_id': 'd221db26-2dc6-46c6-bcaf-0363bb5f4cb0', 'node_id': '6', 'node_type': 'DepthAnythingV3_Streaming', 'executed': ['3', '5', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 1.24 GiB\\nRequested : 175.43 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 22.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py\", line 249, in execute\\n result = pipeline.run(normalized_images, pbar=pbar,\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 277, in run\\n result = self._process_chunk(normalized_images, start, end)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 330, in _process_chunk\\n output = self.model(chunk_input)\\n ^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1560, in forward\\n feats, aux_feats = self.backbone(\\n ^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 891, in forward\\n return self.pretrained.get_intermediate_layers(\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 800, in get_intermediate_layers\\n outputs, aux_outputs = self._get_intermediate_layers_not_chunked(\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 750, in _get_intermediate_layers_not_chunked\\n x = self.process_attention(x, blk, \"local\", pos=l_pos)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 791, in process_attention\\n x = block(x, pos=pos, attn_mask=attn_mask)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 521, in forward\\n x = x + self.drop_path1(attn_residual_func(x, pos=pos, attn_mask=attn_mask))\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 516, in attn_residual_func\\n return self.ls1(self.attn(self.norm1(x), pos=pos, attn_mask=attn_mask))\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 453, in forward\\n x = optimized_attention_for_device(q.device)(q, k, v, heads=self.num_heads, skip_reshape=True)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py\", line 139, in wrapper\\n return func(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py\", line 579, in attention_sage\\n return attention_pytorch(q, k, v, heads, mask=mask, skip_reshape=True, skip_output_reshape=skip_output_reshape, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py\", line 139, in wrapper\\n return func(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py\", line 520, in attention_pytorch\\n out = comfy.ops.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0, is_causal=False, **sdpa_extra)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 39, in scaled_dot_product_attention\\n return torch.nn.functional.scaled_dot_product_attention(q, k, v, *args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 1.24 GiB\\nRequested : 175.43 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 22.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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/DepthAnythingV3-1231/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 0x7b7a6df75510>'], 'salad_model': [\"{'checkpoint_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/salad/dino_salad.safetensors'}\"]}, 'current_outputs': ['6', '3', '2', '5', '4'], 'timestamp': 1778676069429}\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'd221db26-2dc6-46c6-bcaf-0363bb5f4cb0', 'node_id': '6', 'node_type': 'DepthAnythingV3_Streaming', 'executed': ['3', '5', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 1.24 GiB\\nRequested : 175.43 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 22.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/node.py\", line 249, in execute\\n result = pipeline.run(normalized_images, pbar=pbar,\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 277, in run\\n result = self._process_chunk(normalized_images, start, end)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/streaming/pipeline.py\", line 330, in _process_chunk\\n output = self.model(chunk_input)\\n ^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1560, in forward\\n feats, aux_feats = self.backbone(\\n ^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 891, in forward\\n return self.pretrained.get_intermediate_layers(\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 800, in get_intermediate_layers\\n outputs, aux_outputs = self._get_intermediate_layers_not_chunked(\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 750, in _get_intermediate_layers_not_chunked\\n x = self.process_attention(x, blk, \"local\", pos=l_pos)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 791, in process_attention\\n x = block(x, pos=pos, attn_mask=attn_mask)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 521, in forward\\n x = x + self.drop_path1(attn_residual_func(x, pos=pos, attn_mask=attn_mask))\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 516, in attn_residual_func\\n return self.ls1(self.attn(self.norm1(x), pos=pos, attn_mask=attn_mask))\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 453, in forward\\n x = optimized_attention_for_device(q.device)(q, k, v, heads=self.num_heads, skip_reshape=True)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py\", line 139, in wrapper\\n return func(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py\", line 579, in attention_sage\\n return attention_pytorch(q, k, v, heads, mask=mask, skip_reshape=True, skip_output_reshape=skip_output_reshape, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py\", line 139, in wrapper\\n return func(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ldm/modules/attention.py\", line 520, in attention_pytorch\\n out = comfy.ops.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0, is_causal=False, **sdpa_extra)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 39, in scaled_dot_product_attention\\n return torch.nn.functional.scaled_dot_product_attention(q, k, v, *args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 1.24 GiB\\nRequested : 175.43 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 22.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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/DepthAnythingV3-1231/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 0x7b7a6df75510>'], 'salad_model': [\"{'checkpoint_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/salad/dino_salad.safetensors'}\"]}, 'current_outputs': ['6', '3', '2', '5', '4'], 'timestamp': 1778676069429}\n Details: Workflow: /node/ComfyUI-DepthAnythingV3/workflows/da3_streaming.json\nNode error: DepthAnythingV3_Streaming\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 891, in forward\n [ComfyUI] return self.pretrained.get_intermediate_layers(\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 800, in get_intermediate_layers\n [ComfyUI] outputs, aux_outputs = self._get_intermediate_layers_not_chunked(\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 750, in _get_intermediate_layers_not_chunked\n [ComfyUI] x = self.process_attention(x, blk, \"local\", pos=l_pos)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 791, in process_attention", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz", "gpu": "NVIDIA GeForce RTX 3090"}}, "simple": {"src": "", "title": "simple", "status": "fail", "duration": "16.46", "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 Queuing workflow for execution...\n [ComfyUI] Prompt has 4 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\": [\"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: 5f4eba2c-3b03-4087-9f28-6d42e460056e\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: 24102 / 24124 MB\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1231/ComfyUI', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\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_c1iflygq/persistent_worker.py', 'abstract://comfy_worker_b93678a055f5']...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_b93678a055f5 (abstract, no filesystem path)\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: failed\n [ComfyUI] [ComfyUI-DepthAnythingV3] Socket unhealthy, restarting worker...\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 Frame 2 saved (frame_001.jpg, t=2.5s)\n [capture-periodic] freeze=3ms shot=209ms unfreeze=3ms saved=True\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=15 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (2.77s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 22614 / 24124 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: 22614 / 24124 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=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, 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 3 saved (frame_002.jpg, t=4.8s)\n [capture-periodic] freeze=3ms shot=210ms unfreeze=2ms saved=True\n [capture-loop] iter=50 t=6.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=18.0/31.2GB (58%) swap=26.4/32.0GB (82%) cpu=8% browser_rss=1.03GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=16\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.58GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.58GB\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] [worker:ComfyUI-DepthAnythingV3] [VRAM] +205MB (now 408MB) reserved=512MB peak=408MB\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 : 936.80 MiB\n [ComfyUI] Requested : 223.56 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\n [ComfyUI] fused_main, fused_aux_pyr = self._fuse(resized_feats)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\n [ComfyUI] out = self.scratch.refinenet1(out, l1_rn)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 973, in forward\n [ComfyUI] y = self.out_conv(y)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\n [ComfyUI] return self.forward_comfy_cast_weights(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\n [ComfyUI] x = self._conv_forward(input, weight, bias)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\n [ComfyUI] return F.conv2d(\n [ComfyUI] ^^^^^^^^^\n [ComfyUI] torch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 936.80 MiB\n [ComfyUI] Requested : 223.56 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 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/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] ^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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 : 936.80 MiB\n [ComfyUI] Requested : 223.56 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\n [ComfyUI] fused_main, fused_aux_pyr = self._fuse(resized_feats)\n Frame 4 saved (frame_003.jpg, t=9.3s)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^\n [capture-periodic] freeze=7ms shot=256ms unfreeze=8ms saved=True\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\n Execution complete (t=9.3s)\n [ComfyUI] out = self.scratch.refinenet1(out, l1_rn)\n Execution error: {'prompt_id': 'a0f1481b-5b89-44b7-b1bb-acbed3ea49c3', 'node_id': '14', 'node_type': 'DepthAnything_V3', 'executed': ['3', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 936.80 MiB\\nRequested : 223.56 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\\n fused_main, fused_aux_pyr = self._fuse(resized_feats)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\\n out = self.scratch.refinenet1(out, l1_rn)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 973, in forward\\n y = self.out_conv(y)\\n ^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\\n return self.forward_comfy_cast_weights(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\\n x = self._conv_forward(input, weight, bias)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\\n return F.conv2d(\\n ^^^^^^^^^\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 936.80 MiB\\nRequested : 223.56 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'normalization_mode': ['V2-Style'], 'resize_method': ['resize'], 'invert_depth': [True], 'keep_model_size': [False], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'images': ['tensor([[[[0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n ...,\\n\\n [[0.1367, 0.1367, 0.1367],\\n [0.2500, 0.2500, 0.2500],\\n [0.0352, 0.0352, 0.0352],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.1250, 0.1250, 0.1250],\\n [0.1602, 0.1602, 0.1602],\\n [0.5234, 0.5234, 0.5234],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.0000, 0.0000, 0.0000],\\n [0.0195, 0.0195, 0.0195],\\n [0.2266, 0.2266, 0.2266],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]]]])']}, 'current_outputs': ['3', '14', '4', '2'], 'timestamp': 1778676086313}\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'a0f1481b-5b89-44b7-b1bb-acbed3ea49c3', 'node_id': '14', 'node_type': 'DepthAnything_V3', 'executed': ['3', '2'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 936.80 MiB\\nRequested : 223.56 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\\n fused_main, fused_aux_pyr = self._fuse(resized_feats)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\\n out = self.scratch.refinenet1(out, l1_rn)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 973, in forward\\n y = self.out_conv(y)\\n ^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\\n return self.forward_comfy_cast_weights(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\\n x = self._conv_forward(input, weight, bias)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\\n return F.conv2d(\\n ^^^^^^^^^\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 936.80 MiB\\nRequested : 223.56 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'normalization_mode': ['V2-Style'], 'resize_method': ['resize'], 'invert_depth': [True], 'keep_model_size': [False], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/depthanything3/da3_large.safetensors', 'model_key': 'da3-large', 'dtype': 'bf16', 'attention': 'auto'}\"], 'images': ['tensor([[[[0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n ...,\\n\\n [[0.1367, 0.1367, 0.1367],\\n [0.2500, 0.2500, 0.2500],\\n [0.0352, 0.0352, 0.0352],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.1250, 0.1250, 0.1250],\\n [0.1602, 0.1602, 0.1602],\\n [0.5234, 0.5234, 0.5234],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]],\\n\\n [[0.0000, 0.0000, 0.0000],\\n [0.0195, 0.0195, 0.0195],\\n [0.2266, 0.2266, 0.2266],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]]]])']}, 'current_outputs': ['3', '14', '4', '2'], 'timestamp': 1778676086313}\n Details: Workflow: /node/ComfyUI-DepthAnythingV3/workflows/simple.json\nNode error: DepthAnything_V3\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 973, in forward\n [ComfyUI] y = self.out_conv(y)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\n [ComfyUI] return self.forward_comfy_cast_weights(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\n [ComfyUI] x = self._conv_forward(input, weight, bias)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz", "gpu": "NVIDIA GeForce RTX 3090"}}, "video_multiview_depth": {"src": "", "title": "video_multiview_depth", "status": "fail", "duration": "102.58", "log": "Capturing execution frames: video_multiview_depth.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 9 nodes\n [ComfyUI] Node 3: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_base.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 52: CreateVideo\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: 0570c8ba-aaed-4e3f-a7ab-4fe233eca6a6\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: 24106 / 24124 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=17 sending call_method\n Node executed (1 total), capturing...\n [ComfyUI] \n Frame 2 saved (frame_001.jpg, t=1.8s)\n [capture-node] freeze=4ms shot=203ms unfreeze=10ms saved=True\n [capture-loop] iter=50 t=6.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.5/31.2GB (62%) swap=26.4/32.0GB (82%) cpu=6% browser_rss=1.08GB\n Frame 3 saved (frame_002.jpg, t=6.4s)\n [capture-periodic] freeze=4ms shot=212ms unfreeze=7ms saved=True\n [capture-loop] iter=100 t=12.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.3/31.2GB (62%) swap=26.4/32.0GB (82%) cpu=5% browser_rss=0.91GB\n [capture-loop] iter=150 t=18.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.2/31.2GB (62%) swap=26.4/32.0GB (82%) cpu=4% browser_rss=0.90GB\n [capture-loop] iter=200 t=24.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.6/31.2GB (63%) swap=26.4/32.0GB (82%) cpu=5% browser_rss=0.88GB\n [capture-loop] iter=250 t=30.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.6/31.2GB (63%) swap=26.4/32.0GB (82%) cpu=7% browser_rss=0.87GB\n [capture-loop] iter=300 t=36.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.4/31.2GB (62%) swap=26.4/32.0GB (82%) cpu=6% browser_rss=0.88GB\n [capture-loop] iter=350 t=41.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.3/31.2GB (62%) swap=26.4/32.0GB (82%) cpu=4% browser_rss=0.88GB\n [ComfyUI] model.safetensors: 0%| | 0.00/542M [00:00<?, ?B/s][worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 1 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x00007a721b57d640 (most recent call first):\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 331 in wait\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 629 in wait\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1045 in _bootstrap_inner\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1002 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00007a743546e640 (most recent call first):\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 106 in _vram_poller\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 982 in run\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1045 in _bootstrap_inner\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1002 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x00007a7435c73640 (most recent call first):\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 982 in run\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1045 in _bootstrap_inner\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/threading.py\", line 1002 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x00007a7436293740 (most recent call first):\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages/huggingface_hub/file_download.py\", line 558 in xet_get\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages/huggingface_hub/file_download.py\", line 1842 in _download_to_tmp_and_move\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages/huggingface_hub/file_download.py\", line 1427 in _hf_hub_download_to_local_dir\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages/huggingface_hub/file_download.py\", line 976 in hf_hub_download\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages/huggingface_hub/utils/_validators.py\", line 88 in _inner_fn\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/load_model.py\", line 633 in execute\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 1762 in main\n [ComfyUI] File \"/tmp/comfyui_pvenv_c1iflygq/persistent_worker.py\", line 1807 in <module>\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] model.safetensors: 12%|\u2588\u258f | 67.1M/542M [00:41<04:53, 1.61MB/s][SubprocessWorker] callback 'report_progress' from call_id=17\n Frame 4 saved (frame_003.jpg, t=44.6s)\n [capture-periodic] freeze=3ms shot=229ms unfreeze=25ms saved=True\n [capture-loop] iter=400 t=48.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.3/31.2GB (62%) swap=26.4/32.0GB (82%) cpu=4% browser_rss=0.88GB\n [capture-loop] iter=450 t=54.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=19.5/31.2GB (62%) swap=26.4/32.0GB (82%) cpu=5% browser_rss=0.88GB\n [capture-loop] iter=500 t=59.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.5/31.2GB (63%) swap=26.4/32.0GB (82%) cpu=5% browser_rss=0.88GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 12%|\u2588\u258f | 67.1M/542M [01:00<04:53, 1.61MB/s]\n [ComfyUI] model.safetensors: 50%|\u2588\u2588\u2588\u2588\u2589 | 268M/542M [01:02<00:55, 4.93MB/s] [SubprocessWorker] callback 'report_progress' from call_id=17\n Frame 5 saved (frame_004.jpg, t=64.9s)\n [capture-periodic] freeze=4ms shot=206ms unfreeze=8ms saved=True\n [capture-loop] iter=550 t=65.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.4/31.2GB (62%) swap=26.4/32.0GB (82%) cpu=6% browser_rss=0.88GB\n [capture-loop] iter=600 t=71.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.5/31.2GB (62%) swap=26.4/32.0GB (82%) cpu=6% browser_rss=0.88GB\n [capture-loop] iter=650 t=77.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.4/31.2GB (62%) swap=26.4/32.0GB (82%) cpu=6% browser_rss=0.88GB\n [ComfyUI] \n [capture-loop] iter=700 t=83.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=4 ram=19.4/31.2GB (62%) swap=26.4/32.0GB (82%) cpu=6% browser_rss=0.88GB\n [ComfyUI] model.safetensors: 50%|\u2588\u2588\u2588\u2588\u2589 | 268M/542M [01:20<00:55, 4.93MB/s]\n [ComfyUI] model.safetensors: 62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 335M/542M [01:23<00:48, 4.28MB/s][SubprocessWorker] callback 'report_progress' from call_id=17\n [ComfyUI] \n [ComfyUI] model.safetensors: 74%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 402M/542M [01:24<00:23, 5.91MB/s][SubprocessWorker] callback 'report_progress' from call_id=17\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [01:24<00:00, 10.8MB/s][SubprocessWorker] callback 'report_progress' from call_id=17\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 542M/542M [01:24<00:00, 6.40MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (85.00s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 24106 / 24124 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: 24106 / 24124 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=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=[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=18\n [ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 0.02GB\n [ComfyUI] [comfy-env] VRAM after eviction: 0.02GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -308MB (now 100MB) reserved=352MB peak=590MB\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 6 saved (frame_005.jpg, t=87.5s)\n [capture-periodic] freeze=3ms shot=199ms unfreeze=8ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +243MB (now 343MB) reserved=416MB peak=590MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [capture-loop] iter=750 t=89.5s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=20.2/31.2GB (65%) swap=26.4/32.0GB (82%) cpu=7% browser_rss=0.89GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n Frame 7 saved (frame_006.jpg, t=89.8s)\n [capture-periodic] freeze=3ms shot=208ms unfreeze=9ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +261MB (now 604MB) reserved=1024MB peak=604MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=18\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] -381MB (now 224MB) reserved=1056MB peak=604MB\n Frame 8 saved (frame_007.jpg, t=92.2s)\n [capture-periodic] freeze=3ms shot=199ms unfreeze=11ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnything_V3 done (6.82s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 23754 / 24124 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: 23754 / 24124 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=19 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=19\n [ComfyUI] [comfy-env] VRAM request: 0.27GB, free before eviction: 0.39GB\n [ComfyUI] [comfy-env] VRAM after eviction: 0.39GB\n Node executed (2 total), capturing...\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 9 saved (frame_008.jpg, t=94.0s)\n [capture-node] freeze=4ms shot=206ms unfreeze=3ms saved=True\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +592MB (now 816MB) reserved=960MB peak=816MB\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 : 1.27 GiB\n [ComfyUI] Requested : 23.38 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128, in execute\n [ComfyUI] output = model(normalized_images.to(device, dtype=dtype), infer_gs=infer_gs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\n [ComfyUI] fused_main, fused_aux_pyr = self._fuse(resized_feats)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\n [ComfyUI] out = self.scratch.refinenet1(out, l1_rn)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 964, in forward\n [ComfyUI] y = y + self.resConfUnit1(xs[1])\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 920, in forward\n [ComfyUI] out = self.conv1(out)\n [ComfyUI] ^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\n [ComfyUI] return self.forward_comfy_cast_weights(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\n [ComfyUI] x = self._conv_forward(input, weight, bias)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\n [ComfyUI] return F.conv2d(\n [ComfyUI] ^^^^^^^^^\n [ComfyUI] torch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\n [ComfyUI] Currently allocated : 1.27 GiB\n [ComfyUI] Requested : 23.38 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 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/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] ^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/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 : 1.27 GiB\n [ComfyUI] Requested : 23.38 MiB\n [ComfyUI] Device limit : 23.56 GiB\n [ComfyUI] Free (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128, in execute\n [ComfyUI] output = model(normalized_images.to(device, dtype=dtype), infer_gs=infer_gs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\n [ComfyUI] return self._call_impl(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\n [ComfyUI] return forward_call(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n Execution complete (t=95.4s)\n [ComfyUI] File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1577, in forward\n Execution error: {'prompt_id': 'c5aff8bd-26e2-455b-b70d-be80245ee8ea', 'node_id': '62', 'node_type': 'DepthAnythingV3_MultiView', 'executed': ['55', '61', '53', '3', '66', '71'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 1.27 GiB\\nRequested : 23.38 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128, in execute\\n output = model(normalized_images.to(device, dtype=dtype), infer_gs=infer_gs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\\n fused_main, fused_aux_pyr = self._fuse(resized_feats)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\\n out = self.scratch.refinenet1(out, l1_rn)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 964, in forward\\n y = y + self.resConfUnit1(xs[1])\\n ^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 920, in forward\\n out = self.conv1(out)\\n ^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\\n return self.forward_comfy_cast_weights(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\\n x = self._conv_forward(input, weight, bias)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\\n return F.conv2d(\\n ^^^^^^^^^\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 1.27 GiB\\nRequested : 23.38 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/DepthAnythingV3-1231/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/DepthAnythingV3-1231/.venv/lib/python3.11/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'normalization_mode': ['V2-Style'], 'resize_method': ['resize'], 'invert_depth': [False], 'keep_model_size': [False], 'da3_model': [\"{'model_path': '/workspaces/DepthAnythingV3-1231/ComfyUI/models/depthanything3/da3_base.safetensors', 'model_key': 'da3-base', 'dtype': 'bf16', 'attention': 'auto'}\"], 'images': ['tensor([[[[0.1333, 0.1569, 0.2314],\\n [0.1333, 0.1569, 0.2314],\\n [0.1294, 0.1529, 0.2275],\\n ...,\\n [0.2353, 0.2588, 0.3412],\\n [0.2353, 0.2588, 0.3412],\\n [0.2353, 0.2588, 0.3412]],\\n\\n [[0.1412, 0.1647, 0.2392],\\n [0.1412, 0.1647, 0.2392],\\n [0.1412, 0.1647, 0.2392],\\n ...,\\n [0.2353, 0.2588, 0.3412],\\n [0.2353, 0.2588, 0.3412],\\n [0.2353, 0.2588, 0.3412]],\\n\\n [[0.1333, 0.1451, 0.2235],\\n [0.1333, 0.1451, 0.2235],\\n [0.1333, 0.1451, 0.2235],\\n ...,\\n [0.2353, 0.2588, 0.3412],\\n [0.2353, 0.2588, 0.3412],\\n [0.2353, 0.2588, 0.3412]],\\n\\n ...,\\n\\n [[0.2392, 0.2510, 0.3294],\\n [0.2510, 0.2627, 0.3412],\\n [0.2706, 0.2824, 0.3608],\\n ...,\\n [0.2078, 0.2196, 0.2980],\\n [0.1961, 0.2078, 0.2863],\\n [0.1843, 0.1961, 0.2745]],\\n\\n [[0.2431, 0.2549, 0.3333],\\n [0.2588, 0.2706, 0.3490],\\n [0.2706, 0.2824, 0.3608],\\n ...,\\n [0.1961, 0.2078, 0.2784],\\n [0.2039, 0.2157, 0.2863],\\n [0.1922, 0.2039, 0.2745]],\\n\\n [[0.2471, 0.2588, 0.3373],\\n [0.2627, 0.2745, 0.3529],\\n [0.2784, 0.2902, 0.3686],\\n ...,\\n [0.1843, 0.1961, 0.2667],\\n [0.1882, 0.2000, 0.2706],\\n [0.1843, 0.1961, 0.2667]]],\\n\\n\\n [[[0.1255, 0.1373, 0.2157],\\n [0.1255, 0.1373, 0.2157],\\n [0.1255, 0.1373, 0.2157],\\n ...,\\n [0.2392, 0.2627, 0.3451],\\n [0.2392, 0.2627, 0.3451],\\n [0.2392, 0.2627, 0.3451]],\\n\\n [[0.1059, 0.1176, 0.1961],\\n [0.1059, 0.1176, 0.1961],\\n [0.1059, 0.1176, 0.1961],\\n ...,\\n [0.2392, 0.2627, 0.3451],\\n [0.2392, 0.2627, 0.3451],\\n [0.2392, 0.2627, 0.3451]],\\n\\n [[0.1412, 0.1529, 0.2314],\\n [0.1412, 0.1529, 0.2314],\\n [0.1412, 0.1529, 0.2314],\\n ...,\\n [0.2431, 0.2667, 0.3490],\\n [0.2431, 0.2667, 0.3490],\\n [0.2431, 0.2667, 0.3490]],\\n\\n ...,\\n\\n [[0.2235, 0.2353, 0.3137],\\n [0.2588, 0.2706, 0.3490],\\n [0.2627, 0.2745, 0.3529],\\n ...,\\n [0.1882, 0.1922, 0.2667],\\n [0.1843, 0.1882, 0.2627],\\n [0.1843, 0.1882, 0.2627]],\\n\\n [[0.2471, 0.2588, 0.3373],\\n [0.2392, 0.2510, 0.3294],\\n [0.2353, 0.2471, 0.3255],\\n ...,\\n [0.1882, 0.1922, 0.2667],\\n [0.1922, 0.1961, 0.2706],\\n [0.1922, 0.1961, 0.2706]],\\n\\n [[0.2431, 0.2549, 0.3333],\\n [0.2353, 0.2471, 0.3255],\\n [0.2196, 0.2314, 0.3098],\\n ...,\\n [0.1804, 0.1843, 0.2588],\\n [0.1882, 0.1922, 0.2667],\\n [0.1922, 0.1961, 0.2706]]],\\n\\n\\n [[[0.1451, 0.1686, 0.2431],\\n [0.1451, 0.1686, 0.2431],\\n [0.1412, 0.1647, 0.2392],\\n ...,\\n [0.2510, 0.2745, 0.3569],\\n [0.2510, 0.2745, 0.3569],\\n [0.2510, 0.2745, 0.3569]],\\n\\n [[0.1255, 0.1490, 0.2235],\\n [0.1333, 0.1569, 0.2314],\\n [0.1333, 0.1569, 0.2314],\\n ...,\\n [0.2510, 0.2745, 0.3569],\\n [0.2510, 0.2745, 0.3569],\\n [0.2510, 0.2745, 0.3569]],\\n\\n [[0.1294, 0.1529, 0.2275],\\n [0.1412, 0.1647, 0.2392],\\n [0.1451, 0.1686, 0.2431],\\n ...,\\n [0.2510, 0.2745, 0.3569],\\n [0.2510, 0.2745, 0.3569],\\n [0.2510, 0.2745, 0.3569]],\\n\\n ...,\\n\\n [[0.2510, 0.2549, 0.3373],\\n [0.2627, 0.2667, 0.3490],\\n [0.2627, 0.2667, 0.3490],\\n ...,\\n [0.1882, 0.2000, 0.2706],\\n [0.2039, 0.2157, 0.2863],\\n [0.1961, 0.2078, 0.2784]],\\n\\n [[0.2784, 0.2824, 0.3647],\\n [0.2745, 0.2784, 0.3608],\\n [0.2745, 0.2784, 0.3608],\\n ...,\\n [0.1765, 0.1882, 0.2588],\\n [0.1804, 0.1922, 0.2627],\\n [0.1804, 0.1922, 0.2627]],\\n\\n [[0.2549, 0.2588, 0.3412],\\n [0.2627, 0.2667, 0.3490],\\n [0.2745, 0.2784, 0.3608],\\n ...,\\n [0.1804, 0.1922, 0.2627],\\n [0.1882, 0.2000, 0.2706],\\n [0.1922, 0.2039, 0.2745]]],\\n\\n\\n ...,\\n\\n\\n [[[0.1098, 0.1216, 0.1922],\\n [0.1098, 0.1216, 0.1922],\\n [0.1098, 0.1216, 0.1922],\\n ...,\\n [0.2510, 0.2784, 0.3765],\\n [0.2510, 0.2784, 0.3765],\\n [0.2510, 0.2784, 0.3765]],\\n\\n [[0.1098, 0.1216, 0.1922],\\n [0.1098, 0.1216, 0.1922],\\n [0.1098, 0.1216, 0.1922],\\n ...,\\n [0.2510, 0.2784, 0.3765],\\n [0.2510, 0.2784, 0.3765],\\n [0.2510, 0.2784, 0.3765]],\\n\\n [[0.1059, 0.1176, 0.1882],\\n [0.1059, 0.1176, 0.1882],\\n [0.1098, 0.1216, 0.1922],\\n ...,\\n [0.2510, 0.2784, 0.3765],\\n [0.2510, 0.2784, 0.3765],\\n [0.2510, 0.2784, 0.3765]],\\n\\n ...,\\n\\n [[0.2627, 0.2667, 0.3490],\\n [0.2549, 0.2588, 0.3412],\\n [0.2431, 0.2471, 0.3294],\\n ...,\\n [0.2078, 0.2196, 0.2980],\\n [0.2118, 0.2235, 0.3020],\\n [0.2235, 0.2353, 0.3137]],\\n\\n [[0.2549, 0.2588, 0.3412],\\n [0.2549, 0.2588, 0.3412],\\n [0.2471, 0.2510, 0.3333],\\n ...,\\n [0.2078, 0.2196, 0.2980],\\n [0.2118, 0.2235, 0.3020],\\n [0.2314, 0.2431, 0.3216]],\\n\\n [[0.2627, 0.2667, 0.3490],\\n [0.2549, 0.2588, 0.3412],\\n [0.2471, 0.2510, 0.3333],\\n ...,\\n [0.2235, 0.2353, 0.3137],\\n [0.2314, 0.2431, 0.3216],\\n [0.2314, 0.2431, 0.3216]]],\\n\\n\\n [[[0.1059, 0.1098, 0.1922],\\n [0.1098, 0.1137, 0.1961],\\n [0.1176, 0.1216, 0.2039],\\n ...,\\n [0.2510, 0.2784, 0.3765],\\n [0.2510, 0.2784, 0.3765],\\n [0.2510, 0.2784, 0.3765]],\\n\\n [[0.1098, 0.1137, 0.1961],\\n [0.1176, 0.1216, 0.2039],\\n [0.1255, 0.1294, 0.2118],\\n ...,\\n [0.2510, 0.2784, 0.3765],\\n [0.2510, 0.2784, 0.3765],\\n [0.2510, 0.2784, 0.3765]],\\n\\n [[0.1059, 0.1098, 0.1922],\\n [0.1098, 0.1137, 0.1961],\\n [0.1176, 0.1216, 0.2039],\\n ...,\\n [0.2510, 0.2784, 0.3765],\\n [0.2510, 0.2784, 0.3765],\\n [0.2510, 0.2784, 0.3765]],\\n\\n ...,\\n\\n [[0.2118, 0.2157, 0.2980],\\n [0.2275, 0.2314, 0.3137],\\n [0.2235, 0.2275, 0.3098],\\n ...,\\n [0.2039, 0.2157, 0.2941],\\n [0.2078, 0.2196, 0.2980],\\n [0.2157, 0.2275, 0.3059]],\\n\\n [[0.2745, 0.2784, 0.3608],\\n [0.2902, 0.2941, 0.3765],\\n [0.2471, 0.2510, 0.3333],\\n ...,\\n [0.2078, 0.2196, 0.2980],\\n [0.2039, 0.2157, 0.2941],\\n [0.2078, 0.2196, 0.2980]],\\n\\n [[0.2471, 0.2510, 0.3333],\\n [0.2627, 0.2667, 0.3490],\\n [0.2471, 0.2510, 0.3333],\\n ...,\\n [0.1961, 0.2078, 0.2863],\\n [0.1961, 0.2078, 0.2863],\\n [0.1961, 0.2078, 0.2863]]],\\n\\n\\n [[[0.1098, 0.1137, 0.1961],\\n [0.1098, 0.1137, 0.1961],\\n [0.1098, 0.1137, 0.1961],\\n ...,\\n [0.2196, 0.2471, 0.3373],\\n [0.2196, 0.2471, 0.3373],\\n [0.2196, 0.2471, 0.3373]],\\n\\n [[0.1098, 0.1137, 0.1961],\\n [0.1098, 0.1137, 0.1961],\\n [0.1098, 0.1137, 0.1961],\\n ...,\\n [0.2196, 0.2471, 0.3373],\\n [0.2196, 0.2471, 0.3373],\\n [0.2196, 0.2471, 0.3373]],\\n\\n [[0.1059, 0.1098, 0.1922],\\n [0.1059, 0.1098, 0.1922],\\n [0.1059, 0.1098, 0.1922],\\n ...,\\n [0.2235, 0.2510, 0.3412],\\n [0.2235, 0.2510, 0.3412],\\n [0.2235, 0.2510, 0.3412]],\\n\\n ...,\\n\\n [[0.2078, 0.2118, 0.2941],\\n [0.2078, 0.2118, 0.2941],\\n [0.2196, 0.2235, 0.3059],\\n ...,\\n [0.2196, 0.2314, 0.3098],\\n [0.2314, 0.2431, 0.3216],\\n [0.2314, 0.2431, 0.3216]],\\n\\n [[0.2353, 0.2392, 0.3216],\\n [0.2275, 0.2314, 0.3137],\\n [0.2392, 0.2431, 0.3255],\\n ...,\\n [0.1922, 0.2039, 0.2824],\\n [0.1961, 0.2078, 0.2863],\\n [0.1961, 0.2078, 0.2863]],\\n\\n [[0.2824, 0.2863, 0.3686],\\n [0.2902, 0.2941, 0.3765],\\n [0.2745, 0.2784, 0.3608],\\n ...,\\n [0.2314, 0.2431, 0.3216],\\n [0.2392, 0.2510, 0.3294],\\n [0.2471, 0.2588, 0.3373]]]])']}, 'current_outputs': ['55', '61', '54', '53', '52', '3', '62', '66', '71'], 'timestamp': 1778676189344}\n [ComfyUI] output = self._process_depth_head(feats, H, W)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'c5aff8bd-26e2-455b-b70d-be80245ee8ea', 'node_id': '62', 'node_type': 'DepthAnythingV3_MultiView', 'executed': ['55', '61', '53', '3', '66', '71'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 1.27 GiB\\nRequested : 23.38 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 18.25 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_c1iflygq/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_multiview.py\", line 128, in execute\\n output = model(normalized_images.to(device, dtype=dtype), infer_gs=infer_gs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/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/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1405, in _forward_impl\\n fused_main, fused_aux_pyr = self._fuse(resized_feats)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 1465, in _fuse\\n out = self.scratch.refinenet1(out, l1_rn)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 964, in forward\\n y = y + self.resConfUnit1(xs[1])\\n ^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/depth_anything_v3/model.py\", line 920, in forward\\n out = self.conv1(out)\\n ^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1779, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1790, in _call_impl\\n return forward_call(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 516, in forward\\n return self.forward_comfy_cast_weights(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/DepthAnythingV3-1231/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\\n x = self._conv_forward(input, weight, bias)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.11/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\\n return F.conv2d(\\n ^\n... (truncated)", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz", "gpu": "NVIDIA GeForce RTX 3090"}}};
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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"}, {"file": "frame_001.jpg", "time": 2.44, "log": "Capturing execution frames: advanced_3d.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n 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: 284563ef-cb5a-4376-82a0-92f0b24885f8\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1231/ComfyUI', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\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_c1iflygq/persistent_worker.py', 'abstract://comfy_worker_b16e62a691da']...\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_b16e62a691da (abstract, no filesystem path)\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 24106 / 24124 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] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available."}, {"file": "frame_002.jpg", "time": 4.74, "log": "Capturing execution frames: advanced_3d.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n 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: 284563ef-cb5a-4376-82a0-92f0b24885f8\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1231/ComfyUI', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\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_c1iflygq/persistent_worker.py', 'abstract://comfy_worker_b16e62a691da']...\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_b16e62a691da (abstract, no filesystem path)\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 24106 / 24124 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] [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=3 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=3ms shot=206ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (2.51s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 22614 / 24124 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: 22614 / 24124 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=4 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_003.jpg", "time": 9.31, "log": "Capturing execution frames: advanced_3d.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n 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: 284563ef-cb5a-4376-82a0-92f0b24885f8\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1231/ComfyUI', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\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_c1iflygq/persistent_worker.py', 'abstract://comfy_worker_b16e62a691da']...\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_b16e62a691da (abstract, no filesystem path)\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 24106 / 24124 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] [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=3 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=3ms shot=206ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (2.51s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 22614 / 24124 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: 22614 / 24124 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=4 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 3 saved (frame_002.jpg, t=4.7s)\n [capture-periodic] freeze=4ms shot=205ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=23.4/31.2GB (75%) swap=21.8/32.0GB (68%) cpu=6% browser_rss=0.91GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=4\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.58GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.58GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +267MB (now 267MB) reserved=288MB peak=267MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +206MB (now 473MB) reserved=576MB peak=473MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=4\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnything_V3 done (6.04s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 24042 / 24124 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: 24042 / 24124 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=5 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, 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 (0.25s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_ToPointCloud: 24042 / 24124 MB\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [VRAM] Before DA3_SavePointCloud: 24042 / 24124 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=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=[311069, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311069, 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=[311069]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311069])\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=[311069, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311069, 3])"}, {"file": "frame_004.jpg", "time": 12.42, "log": "Capturing execution frames: advanced_3d.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n 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: 284563ef-cb5a-4376-82a0-92f0b24885f8\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] Validation result: valid=True\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/DepthAnythingV3-1231/ComfyUI', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.1/site-packages', '/workspaces/DepthAnythingV3-1231/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] got prompt\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_c1iflygq/persistent_worker.py', 'abstract://comfy_worker_b16e62a691da']...\n [ComfyUI] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_large.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_b16e62a691da (abstract, no filesystem path)\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 24106 / 24124 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] [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=3 sending call_method\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=3ms shot=206ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (2.51s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 22614 / 24124 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: 22614 / 24124 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=4 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 3 saved (frame_002.jpg, t=4.7s)\n [capture-periodic] freeze=4ms shot=205ms unfreeze=5ms saved=True\n [capture-loop] iter=50 t=6.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=23.4/31.2GB (75%) swap=21.8/32.0GB (68%) cpu=6% browser_rss=0.91GB\n [ComfyUI] [SubprocessWorker] callback 'request_vram_budget' from call_id=4\n [ComfyUI] [comfy-env] VRAM request: 0.82GB, free before eviction: 1.58GB\n [ComfyUI] [comfy-env] VRAM after eviction: 1.58GB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +267MB (now 267MB) reserved=288MB peak=267MB\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [VRAM] +206MB (now 473MB) reserved=576MB peak=473MB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=4\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DepthAnything_V3 done (6.04s): result: NodeOutput\n [ComfyUI] [VRAM] After DepthAnything_V3: 24042 / 24124 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: 24042 / 24124 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=5 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, 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 (0.25s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_ToPointCloud: 24042 / 24124 MB\n [ComfyUI] [comfy-env] Running DA3_SavePointCloud: filename_prefix: 'pointcloud', pointcloud: list[1]\n [ComfyUI] [VRAM] Before DA3_SavePointCloud: 24042 / 24124 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=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=[311069, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311069, 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=[311069]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311069])\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=[311069, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([311069, 3])\n Frame 4 saved (frame_003.jpg, t=9.3s)\n [capture-periodic] freeze=3ms shot=199ms unfreeze=7ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_SavePointCloud done (3.00s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_SavePointCloud: 24042 / 24124 MB\n [ComfyUI] [comfy-env] Running DA3_PreviewPointCloud: file_path: '/workspaces/DepthAnythingV3-1231/ComfyUI/output/pointclo..., color_mode: 'RGB'\n [ComfyUI] [VRAM] Before DA3_PreviewPointCloud: 24042 / 24124 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=7 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DA3_PreviewPointCloud done (0.07s): result: NodeOutput\n [ComfyUI] [VRAM] After DA3_PreviewPointCloud: 24042 / 24124 MB\n [ComfyUI] Prompt executed in 11.91 seconds"}, {"file": "frame_005.jpg", "time": 16.587217569351196, "log": "Final screenshot"}], "total_time": 14.1}};
|
|
|
|
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);
|
|
}
|
|
|
|
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)';
|
|
|
|
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));
|
|
|
|
// Notify parent frames for deep linking
|
|
if (inIframe) {
|
|
window.parent.postMessage({ type: 'comfytest-open', name: title }, '*');
|
|
}
|
|
}
|
|
|
|
function buildSliderRange(frames, totalTime) {
|
|
const range = { 'min': frames[0].time };
|
|
frames.forEach((frame, idx) => {
|
|
if (idx > 0 && idx < frames.length - 1) {
|
|
const pct = (frame.time / totalTime * 100).toFixed(1) + '%';
|
|
range[pct] = frame.time;
|
|
}
|
|
});
|
|
range['max'] = frames[frames.length - 1].time;
|
|
return range;
|
|
}
|
|
|
|
function setupVideoSlider(frames, totalTime) {
|
|
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>
|