1662 lines
244 KiB
HTML
1662 lines
244 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-SAM3DBody - 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 0.0%, #f85149 0.0%, #f85149 100%);
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width: 100% !important;
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border-radius: 6px;
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}
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.progress-label {
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font-size: 0.85rem;
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font-weight: 600;
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color: #8ba3c1;
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white-space: nowrap;
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min-width: 3.5rem;
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text-align: right;
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}
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.stats {
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display: flex;
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gap: 0.75rem;
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flex-wrap: wrap;
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align-items: center;
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}
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.stat-badge {
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padding: 0.35rem 0.75rem;
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border-radius: 2rem;
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font-weight: 600;
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font-size: 0.8rem;
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}
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.stat-pass {
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background: rgba(63, 185, 80, 0.15);
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color: #3fb950;
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}
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.stat-fail {
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background: rgba(248, 81, 73, 0.15);
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color: #f85149;
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}
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.stat-total {
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color: #8ba3c1;
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font-size: 0.85rem;
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}
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/* Failed Section */
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.failed-section {
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background: rgba(248, 81, 73, 0.08);
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border: 1px solid rgba(248, 81, 73, 0.3);
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border-radius: 8px;
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padding: 1.25rem;
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margin-bottom: 2rem;
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}
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.failed-section h2 {
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color: #f85149;
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font-size: 0.9rem;
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font-weight: 600;
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margin-bottom: 0.75rem;
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}
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.failed-item {
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background: #162033;
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border: 1px solid #243656;
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border-radius: 6px;
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padding: 1rem;
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margin-bottom: 0.5rem;
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}
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.failed-item:last-child {
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margin-bottom: 0;
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}
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.failed-header {
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display: flex;
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justify-content: space-between;
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align-items: center;
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margin-bottom: 0.5rem;
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}
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.failed-name {
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font-weight: 600;
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color: #f85149;
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}
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.failed-duration {
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color: #8ba3c1;
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font-size: 0.8rem;
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}
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.failed-error {
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background: #0f1923;
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border: 1px solid #243656;
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padding: 0.75rem;
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border-radius: 6px;
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font-family: 'SFMono-Regular', 'Menlo', 'Monaco', monospace;
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font-size: 0.8rem;
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color: #d29922;
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margin-bottom: 0.5rem;
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}
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.log-link {
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color: #58a6ff;
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text-decoration: none;
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font-size: 0.8rem;
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}
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.log-link:hover {
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text-decoration: underline;
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}
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/* Workflow Grid */
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.section-header {
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display: flex;
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justify-content: space-between;
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align-items: center;
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margin-bottom: 1.25rem;
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}
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.section-title {
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font-size: 0.8rem;
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color: #8ba3c1;
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font-weight: 600;
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text-transform: uppercase;
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letter-spacing: 0.06em;
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}
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.view-controls {
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display: flex;
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gap: 0;
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align-items: center;
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border: 1px solid #243656;
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border-radius: 6px;
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overflow: hidden;
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}
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.view-btn {
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background: #1c2d44;
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color: #8ba3c1;
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border: none;
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border-right: 1px solid #243656;
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padding: 0.3rem 0.75rem;
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cursor: pointer;
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font-size: 0.75rem;
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font-weight: 500;
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transition: all 0.15s;
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}
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.view-btn:last-child {
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border-right: none;
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}
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.view-btn:hover {
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background: #243656;
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color: #e6edf3;
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}
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.view-btn.active {
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background: #58a6ff;
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color: #fff;
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}
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.workflow-grid {
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display: grid;
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grid-template-columns: repeat(4, 1fr);
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gap: 1rem;
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}
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.workflow-grid.view-list {
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grid-template-columns: 1fr;
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gap: 0;
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}
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.workflow-grid.view-list .workflow-card {
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border-radius: 0;
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border-bottom: 1px solid #243656;
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}
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.workflow-grid.view-list .workflow-card:first-child {
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border-radius: 8px 8px 0 0;
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}
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.workflow-grid.view-list .workflow-card:last-child {
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border-radius: 0 0 8px 8px;
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border-bottom: none;
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}
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.workflow-grid.view-list .workflow-card:only-child {
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border-radius: 8px;
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}
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.workflow-grid.view-list .workflow-screenshot {
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width: 100%;
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height: auto;
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aspect-ratio: auto;
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}
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.workflow-grid.view-list .workflow-info {
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border-top: 1px solid #243656;
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padding: 0.75rem 1rem;
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}
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.workflow-grid.view-list .workflow-name {
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max-width: none;
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font-size: 0.9rem;
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}
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.workflow-card {
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background: #162033;
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border: 1px solid #243656;
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border-radius: 8px;
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overflow: hidden;
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transition: transform 0.15s, border-color 0.15s;
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}
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.workflow-card:hover {
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transform: translateY(-1px);
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border-color: #4a6282;
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}
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.workflow-card.clickable {
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cursor: pointer;
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}
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.workflow-card.failed {
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border-color: #f85149;
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}
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.workflow-card.failed:hover {
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border-color: #f85149;
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}
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.workflow-screenshot {
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width: 100%;
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aspect-ratio: 16/10;
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object-fit: cover;
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background: #0f1923;
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display: block;
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}
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.workflow-screenshot.placeholder {
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display: flex;
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align-items: center;
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justify-content: center;
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color: #4a6282;
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font-size: 0.8rem;
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}
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.workflow-info {
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padding: 0.75rem 1rem;
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border-top: 1px solid #243656;
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}
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.workflow-header {
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display: flex;
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justify-content: space-between;
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align-items: center;
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gap: 0.5rem;
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margin-bottom: 0.25rem;
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}
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.workflow-name {
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font-weight: 500;
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font-size: 0.85rem;
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color: #e6edf3;
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white-space: nowrap;
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overflow: hidden;
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text-overflow: ellipsis;
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max-width: 65%;
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}
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.workflow-badge {
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padding: 0.15rem 0.5rem;
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border-radius: 2rem;
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font-size: 0.7rem;
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font-weight: 600;
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text-transform: uppercase;
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letter-spacing: 0.03em;
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flex-shrink: 0;
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}
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.workflow-badge.pass {
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background: rgba(63, 185, 80, 0.15);
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color: #3fb950;
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}
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.workflow-badge.fail {
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background: rgba(248, 81, 73, 0.15);
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color: #f85149;
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}
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.workflow-meta {
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display: flex;
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justify-content: space-between;
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align-items: center;
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font-size: 0.75rem;
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color: #4a6282;
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}
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/* Lightbox */
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.lightbox {
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display: none;
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position: fixed;
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top: 0;
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left: 0;
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width: 100%;
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height: 100%;
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background: rgba(1, 4, 9, 0.9);
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z-index: 1000;
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justify-content: center;
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align-items: flex-start;
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padding: 2rem;
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overflow-y: auto;
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}
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.lightbox.active {
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display: flex;
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}
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.lightbox-content {
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display: flex;
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flex-direction: column;
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max-width: 1200px;
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width: 100%;
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margin: auto;
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}
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.lightbox-content img {
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max-width: 100%;
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max-height: 60vh;
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object-fit: contain;
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border-radius: 8px;
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border: 1px solid #243656;
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align-self: center;
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cursor: zoom-in;
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}
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.img-overlay {
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display: none;
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position: fixed;
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top: 0;
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left: 0;
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width: 100vw;
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height: 100vh;
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z-index: 1002;
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background: rgba(1, 4, 9, 0.95);
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overflow: auto;
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align-items: center;
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justify-content: center;
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}
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.img-overlay.active {
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display: flex;
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}
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.img-overlay.zoomed {
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align-items: flex-start;
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justify-content: flex-start;
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}
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.img-overlay img {
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max-width: 100%;
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max-height: 100%;
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object-fit: contain;
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cursor: zoom-in;
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}
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.img-overlay.zoomed img {
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max-width: none;
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max-height: none;
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cursor: zoom-out;
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}
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.lightbox-close {
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position: fixed;
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top: 1rem;
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right: 1.5rem;
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font-size: 2rem;
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color: #e6edf3;
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cursor: pointer;
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opacity: 0.6;
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background: none;
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border: none;
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z-index: 1001;
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}
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.lightbox-close:hover {
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opacity: 1;
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}
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.lightbox-nav {
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position: fixed;
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top: 50%;
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transform: translateY(-50%);
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background: rgba(22, 32, 51, 0.8);
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border: 1px solid #243656;
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color: #e6edf3;
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font-size: 2.5rem;
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width: 48px;
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height: 64px;
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border-radius: 8px;
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cursor: pointer;
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opacity: 0.6;
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z-index: 1001;
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display: flex;
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align-items: center;
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justify-content: center;
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transition: opacity 0.15s;
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padding: 0;
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line-height: 1;
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}
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.lightbox-nav:hover {
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opacity: 1;
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}
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|
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.lightbox-nav-left { left: 1rem; }
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.lightbox-nav-right { right: 1rem; }
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|
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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;
|
|
border-radius: 8px;
|
|
margin-top: 1rem;
|
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}
|
|
|
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.lightbox-title {
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font-size: 1rem;
|
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font-weight: 600;
|
|
color: #e6edf3;
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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 {
|
|
display: flex;
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gap: 1rem;
|
|
align-items: center;
|
|
}
|
|
|
|
.lightbox-badge {
|
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padding: 0.25rem 0.75rem;
|
|
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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}
|
|
|
|
.lightbox-duration {
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color: #8ba3c1;
|
|
font-size: 0.85rem;
|
|
}
|
|
|
|
.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 {
|
|
width: 8px;
|
|
}
|
|
|
|
.lightbox-log::-webkit-scrollbar-track {
|
|
background: #162033;
|
|
border-radius: 4px;
|
|
}
|
|
|
|
.lightbox-log::-webkit-scrollbar-thumb {
|
|
background: #243656;
|
|
border-radius: 4px;
|
|
}
|
|
|
|
.lightbox-log::-webkit-scrollbar-thumb:hover {
|
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background: #4a6282;
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}
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/* Resource Graph */
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.resource-graph {
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display: none;
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margin-top: 1rem;
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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: 1rem;
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}
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.resource-graph.active {
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display: block;
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}
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.resource-graph-title {
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font-size: 0.8rem;
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color: #8ba3c1;
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font-weight: 500;
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margin-bottom: 0.5rem;
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}
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.resource-graph canvas {
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width: 100%;
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height: 120px;
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cursor: crosshair;
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}
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.resource-legend {
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display: flex;
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gap: 1rem;
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margin-top: 0.5rem;
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font-size: 0.75rem;
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color: #8ba3c1;
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}
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.resource-legend span {
|
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display: flex;
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align-items: center;
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gap: 4px;
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}
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.resource-legend .dot {
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width: 8px;
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height: 8px;
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border-radius: 50%;
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}
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.resource-legend .ram { background: #3fb950; }
|
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.resource-legend .gpu { background: #d29922; }
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/* Video Player */
|
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.video-player {
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display: none;
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margin-top: 1rem;
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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: 1rem;
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}
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.video-player.active {
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display: block;
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}
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.video-controls {
|
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display: flex;
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align-items: center;
|
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gap: 1rem;
|
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margin-top: 0.5rem;
|
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}
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.video-play-btn {
|
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background: #58a6ff;
|
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color: #fff;
|
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border: none;
|
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padding: 0.4rem 1rem;
|
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border-radius: 6px;
|
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cursor: pointer;
|
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font-size: 0.8rem;
|
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font-weight: 500;
|
|
}
|
|
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.video-play-btn:hover {
|
|
background: #79b8ff;
|
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}
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.video-frame-counter {
|
|
color: #8ba3c1;
|
|
font-size: 0.8rem;
|
|
}
|
|
|
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.video-slider-container {
|
|
padding: 15px 0;
|
|
}
|
|
|
|
/* noUiSlider customization */
|
|
#video-slider {
|
|
height: 6px;
|
|
background: #1c2d44;
|
|
border: none;
|
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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;
|
|
}
|
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|
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#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-SAM3DBody">PozzettiAndrea/ComfyUI-SAM3DBody</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> 2026-05-09 10:58 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> Windows-10-10.0.26200-SP0</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> Intel64 Family 6 Model 79 Stepping 1, GenuineIntel</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: 0.0%"></div>
|
|
</div>
|
|
<span class="progress-label">0.0%</span>
|
|
</div>
|
|
<div class="stats">
|
|
<span class="stat-badge stat-pass">0 passed</span>
|
|
<span class="stat-badge stat-fail">4 failed</span>
|
|
<span class="stat-total">0/4 tests</span>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="section-header">
|
|
<h2 class="section-title">Workflows</h2>
|
|
<div class="view-controls">
|
|
<button class="view-btn active" onclick="setView('grid')">Grid</button>
|
|
<button class="view-btn" onclick="setView('list')">List</button>
|
|
</div>
|
|
</div>
|
|
<div class="workflow-grid" id="workflow-grid">
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('multiple_masks')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="multiple_masks">multiple_masks</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>27.61s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('multiple_masks_depthcorrected')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="multiple_masks_depthcorrected">multiple_masks_depthcorrected</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>62.83s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('rigging')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="rigging">rigging</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>7.05s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('workflow')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="workflow">workflow</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>6.71s</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">multiple_masks</span>
|
|
<span class="failed-duration">27.61s</span>
|
|
</div>
|
|
<div class="failed-error">Workflow execution failed: {'prompt_id': '69e0c99b-53a6-47ab-b1f1-63ccce0b731c', 'node_id': '16', 'node_type': 'SAM3DBodyProcessMultiple', 'executed': ['39', '24', '36', '35'], 'exception_message': "No module named 'roma'\n", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File "C:\\workspaces\\SAM3DBody-1252\\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 "C:\\workspaces\\SAM3DBody-1252\\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 "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py", line 297, in process_inputs\n result = f(**inputs)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\internal\\__init__.py", line 149, in wrapped_func\n return method(locked_class, **inputs)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\latest\\_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\process_multiple.py", line 1116, in execute\n from .sam_3d_body import SAM3DBodyEstimator\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\__init__.py", line 5, in <module>\n from .build_models import load_sam_3d_body\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\build_models.py", line 5, in <module>\n from .model import SAM3DBody\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\model.py", line 12, in <module>\n import roma\n'], 'current_inputs': {'inference_type': ['full'], 'adjust_position_from_depth': [False], 'model': ["{'model_path': 'C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\models\\\\sam3dbody', 'ckpt_path': 'C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\models\\\\sam3dbody\\\\model.safetensors', 'mhr_path': 'C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\models\\\\sam3dbody\\\\assets\\\\mhr_model.pt', 'precision': 'bf16'}"], 'image': ['tensor([[[[0.2902, 0.4667, 0.5961],\n [0.2902, 0.4667, 0.5961],\n [0.2902, 0.4667, 0.5961],\n ...,\n [0.3294, 0.5765, 0.7137],\n [0.3451, 0.5882, 0.7333],\n [0.3686, 0.6118, 0.7569]],\n\n [[0.2902, 0.4667, 0.5961],\n [0.2902, 0.4667, 0.5961],\n [0.2902, 0.4667, 0.5961],\n ...,\n [0.3490, 0.5608, 0.6941],\n [0.3529, 0.5647, 0.6980],\n [0.3647, 0.5765, 0.7098]],\n\n [[0.2902, 0.4667, 0.5961],\n [0.2902, 0.4667, 0.5961],\n [0.2902, 0.4667, 0.5961],\n ...,\n [0.3765, 0.5373, 0.6471],\n [0.3725, 0.5333, 0.6431],\n [0.3765, 0.5373, 0.6471]],\n\n ...,\n\n [[0.4941, 0.4824, 0.4157],\n [0.4941, 0.4824, 0.4157],\n [0.4980, 0.4863, 0.4196],\n ...,\n [0.5647, 0.5569, 0.5059],\n [0.5647, 0.5569, 0.5059],\n [0.5647, 0.5569, 0.5059]],\n\n [[0.5098, 0.4980, 0.4314],\n [0.5098, 0.4980, 0.4314],\n [0.5137, 0.5020, 0.4353],\n ...,\n [0.5647, 0.5569, 0.5059],\n [0.5647, 0.5569, 0.5059],\n [0.5647, 0.5569, 0.5059]],\n\n [[0.5176, 0.5059, 0.4392],\n [0.5216, 0.5098, 0.4431],\n [0.5216, 0.5098, 0.4431],\n ...,\n [0.5647, 0.5569, 0.5059],\n [0.5647, 0.5569, 0.5059],\n [0.5647, 0.5569, 0.5059]]]])'], 'masks': ['tensor([[[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]]])']}, 'current_outputs': ['39', '18', '29', '16', '36', '4', '24', '35'], 'timestamp': 1778324254225}
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Details:
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Workflow: C:\ComfyUI-SAM3DBody\workflows\multiple_masks.json
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Node error: SAM3DBodyProcessMultiple</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">multiple_masks_depthcorrected</span>
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<span class="failed-duration">62.83s</span>
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</div>
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<div class="failed-error">Workflow execution failed: {'prompt_id': '993762d2-1a50-4546-9b6e-00b58fee7bbf', 'node_id': '16', 'node_type': 'SAM3DBodyProcessMultiple', 'executed': ['39', '44', '43', '60', '46', '59', '36', '41', '40', '24', '35'], 'exception_message': "No module named 'roma'\n", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File "C:\\workspaces\\SAM3DBody-1252\\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 "C:\\workspaces\\SAM3DBody-1252\\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 "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py", line 297, in process_inputs\n result = f(**inputs)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\internal\\__init__.py", line 149, in wrapped_func\n return method(locked_class, **inputs)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\latest\\_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\process_multiple.py", line 1116, in execute\n from .sam_3d_body import SAM3DBodyEstimator\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\__init__.py", line 5, in <module>\n from .build_models import load_sam_3d_body\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\build_models.py", line 5, in <module>\n from .model import SAM3DBody\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\model.py", line 12, in <module>\n import roma\n'], 'current_inputs': {'inference_type': ['full'], 'adjust_position_from_depth': [True], 'model': ["{'model_path': 'C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\models\\\\sam3dbody', 'ckpt_path': 'C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\models\\\\sam3dbody\\\\model.safetensors', 'mhr_path': 'C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\models\\\\sam3dbody\\\\assets\\\\mhr_model.pt', 'precision': 'bf16'}"], 'image': ['tensor([[[[0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n ...,\n [0.0275, 0.0314, 0.0000],\n [0.0745, 0.0549, 0.0000],\n [0.1490, 0.1216, 0.0667],\n [0.1922, 0.1451, 0.0980],\n [0.2392, 0.1843, 0.1412],\n [0.1608, 0.1059, 0.0627]],\n\n [[0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n ...,\n [0.0549, 0.0471, 0.0000],\n [0.0824, 0.0667, 0.0078],\n [0.1686, 0.1333, 0.0824],\n [0.1961, 0.1529, 0.1059],\n [0.2353, 0.1804, 0.1373],\n [0.1569, 0.0902, 0.0510]],\n\n [[0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n ...,\n [0.0706, 0.0510, 0.0000],\n [0.1059, 0.0784, 0.0275],\n [0.1922, 0.1451, 0.0980],\n [0.2118, 0.1569, 0.1137],\n [0.2314, 0.1686, 0.1255],\n [0.1373, 0.0627, 0.0275]],\n\n [[0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n ...,\n [0.0706, 0.0431, 0.0000],\n [0.1412, 0.0980, 0.0510],\n [0.2078, 0.1529, 0.1098],\n [0.2275, 0.1647, 0.1216],\n [0.2353, 0.1608, 0.1216],\n [0.1294, 0.0471, 0.0118]],\n\n [[0.0235, 0.0627, 0.0510],\n [0.0235, 0.0627, 0.0510],\n [0.0235, 0.0627, 0.0510],\n [0.0196, 0.0588, 0.0471],\n [0.0196, 0.0588, 0.0471],\n [0.0157, 0.0549, 0.0392],\n ...,\n [0.1608, 0.1137, 0.0667],\n [0.1882, 0.1333, 0.0902],\n [0.2196, 0.1451, 0.1098],\n [0.2078, 0.1255, 0.0902],\n [0.2235, 0.1294, 0.0980],\n [0.1451, 0.0392, 0.0118]],\n\n [[0.0196, 0.0588, 0.0471],\n [0.0196, 0.0588, 0.0471],\n [0.0196, 0.0588, 0.0471],\n [0.0196, 0.0588, 0.0471],\n [0.0157, 0.0549, 0.0392],\n [0.0157, 0.0549, 0.0392],\n ...,\n [0.2157, 0.1608, 0.1176],\n [0.2235, 0.1569, 0.1176],\n [0.2392, 0.1569, 0.1216],\n [0.2196, 0.1255, 0.0941],\n [0.2196, 0.1176, 0.0902],\n [0.1451, 0.0314, 0.0078]],\n\n ...,\n\n [[0.4235, 0.1961, 0.1216],\n [0.5725, 0.3373, 0.2549],\n [0.5412, 0.3059, 0.2078],\n [0.5843, 0.3373, 0.2235],\n [0.6078, 0.3412, 0.2157],\n [0.6314, 0.3529, 0.2078],\n ...,\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039]],\n\n [[0.4314, 0.1922, 0.1294],\n [0.5216, 0.2824, 0.2118],\n [0.5373, 0.2941, 0.2039],\n [0.5804, 0.3216, 0.2235],\n [0.6078, 0.3333, 0.2118],\n [0.6431, 0.3608, 0.2157],\n ...,\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039]],\n\n [[0.4275, 0.1882, 0.1255],\n [0.5176, 0.2706, 0.2039],\n [0.5333, 0.2824, 0.1961],\n [0.5686, 0.3098, 0.2078],\n [0.5961, 0.3216, 0.2000],\n [0.6353, 0.3451, 0.2118],\n ...,\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039]],\n\n [[0.4078, 0.1686, 0.1059],\n [0.5020, 0.2549, 0.1843],\n [0.5176, 0.2627, 0.1804],\n [0.5529, 0.2941, 0.1961],\n [0.5804, 0.3059, 0.1843],\n [0.6196, 0.3294, 0.1961],\n ...,\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039]],\n\n [[0.4000, 0.1608, 0.0980],\n [0.4902, 0.2431, 0.1765],\n [0.5059, 0.2549, 0.1686],\n [0.5412, 0.2824, 0.1804],\n [0.5725, 0.2980, 0.1765],\n [0.6118, 0.3216, 0.1882],\n ...,\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039]],\n\n [[0.4000, 0.1529, 0.0941],\n [0.4588, 0.2118, 0.1451],\n [0.5059, 0.2549, 0.1686],\n [0.5373, 0.2667, 0.1725],\n [0.5765, 0.2941, 0.1765],\n [0.6118, 0.3216, 0.1882],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]]]])'], 'masks': ['tensor([[[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]]])'], 'depth_map': ['tensor([[[[2.4958, 2.4958, 2.4958],\n [2.4987, 2.4987, 2.4987],\n [2.4957, 2.4957, 2.4957],\n [2.4953, 2.4953, 2.4953],\n [2.4919, 2.4919, 2.4919],\n [2.4909, 2.4909, 2.4909],\n ...,\n [1.5901, 1.5901, 1.5901],\n [1.5874, 1.5874, 1.5874],\n [1.5863, 1.5863, 1.5863],\n [1.5820, 1.5820, 1.5820],\n [1.5686, 1.5686, 1.5686],\n [1.5422, 1.5422, 1.5422]],\n\n [[2.4658, 2.4658, 2.4658],\n [2.4890, 2.4890, 2.4890],\n [2.5032, 2.5032, 2.5032],\n [2.5053, 2.5053, 2.5053],\n [2.4965, 2.4965, 2.4965],\n [2.4967, 2.4967, 2.4967],\n ...,\n [1.5870, 1.5870, 1.5870],\n [1.5851, 1.5851, 1.5851],\n [1.5857, 1.5857, 1.5857],\n [1.5772, 1.5772, 1.5772],\n [1.5687, 1.5687, 1.5687],\n [1.5472, 1.5472, 1.5472]],\n\n [[2.4958, 2.4958, 2.4958],\n [2.5003, 2.5003, 2.5003],\n [2.4991, 2.4991, 2.4991],\n [2.4975, 2.4975, 2.4975],\n [2.4949, 2.4949, 2.4949],\n [2.4951, 2.4951, 2.4951],\n ...,\n [1.5883, 1.5883, 1.5883],\n [1.5853, 1.5853, 1.5853],\n [1.5835, 1.5835, 1.5835],\n [1.5779, 1.5779, 1.5779],\n [1.5673, 1.5673, 1.5673],\n [1.5636, 1.5636, 1.5636]],\n\n [[2.5031, 2.5031, 2.5031],\n [2.5004, 2.5004, 2.5004],\n [2.4992, 2.4992, 2.4992],\n [2.5021, 2.5021, 2.5021],\n [2.4968, 2.4968, 2.4968],\n [2.4970, 2.4970, 2.4970],\n ...,\n [1.5884, 1.5884, 1.5884],\n [1.5854, 1.5854, 1.5854],\n [1.5824, 1.5824, 1.5824],\n [1.5769, 1.5769, 1.5769],\n [1.5674, 1.5674, 1.5674],\n [1.5162, 1.5162, 1.5162]],\n\n [[2.5026, 2.5026, 2.5026],\n [2.4971, 2.4971, 2.4971],\n [2.5008, 2.5008, 2.5008],\n [2.5043, 2.5043, 2.5043],\n [2.4984, 2.4984, 2.4984],\n [2.4997, 2.4997, 2.4997],\n ...,\n [1.5883, 1.5883, 1.5883],\n [1.5842, 1.5842, 1.5842],\n [1.5801, 1.5801, 1.5801],\n [1.5741, 1.5741, 1.5741],\n [1.5633, 1.5633, 1.5633],\n [1.5260, 1.5260, 1.5260]],\n\n [[2.5092, 2.5092, 2.5092],\n [2.5013, 2.5013, 2.5013],\n [2.5051, 2.5051, 2.5051],\n [2.5074, 2.5074, 2.5074],\n [2.5008, 2.5008, 2.5008],\n [2.5023, 2.5023, 2.5023],\n ...,\n [1.5881, 1.5881, 1.5881],\n [1.5837, 1.5837, 1.5837],\n [1.5798, 1.5798, 1.5798],\n [1.5729, 1.5729, 1.5729],\n [1.5620, 1.5620, 1.5620],\n [1.5321, 1.5321, 1.5321]],\n\n ...,\n\n [[1.3421, 1.3421, 1.3421],\n [1.3531, 1.3531, 1.3531],\n [1.3542, 1.3542, 1.3542],\n [1.3555, 1.3555, 1.3555],\n [1.3549, 1.3549, 1.3549],\n [1.3547, 1.3547, 1.3547],\n ...,\n [1.0918, 1.0918, 1.0918],\n [1.0921, 1.0921, 1.0921],\n [1.0916, 1.0916, 1.0916],\n [1.0919, 1.0919, 1.0919],\n [1.0916, 1.0916, 1.0916],\n [1.0954, 1.0954, 1.0954]],\n\n [[1.3374, 1.3374, 1.3374],\n [1.3450, 1.3450, 1.3450],\n [1.3525, 1.3525, 1.3525],\n [1.3536, 1.3536, 1.3536],\n [1.3525, 1.3525, 1.3525],\n [1.3520, 1.3520, 1.3520],\n ...,\n [1.0915, 1.0915, 1.0915],\n [1.0920, 1.0920, 1.0920],\n [1.0915, 1.0915, 1.0915],\n [1.0922, 1.0922, 1.0922],\n [1.0920, 1.0920, 1.0920],\n [1.0952, 1.0952, 1.0952]],\n\n [[1.3370, 1.3370, 1.3370],\n [1.3513, 1.3513, 1.3513],\n [1.3518, 1.3518, 1.3518],\n [1.3521, 1.3521, 1.3521],\n [1.3515, 1.3515, 1.3515],\n [1.3511, 1.3511, 1.3511],\n ...,\n [1.0916, 1.0916, 1.0916],\n [1.0919, 1.0919, 1.0919],\n [1.0915, 1.0915, 1.0915],\n [1.0921, 1.0921, 1.0921],\n [1.0922, 1.0922, 1.0922],\n [1.0950, 1.0950, 1.0950]],\n\n [[1.3365, 1.3365, 1.3365],\n [1.3463, 1.3463, 1.3463],\n [1.3463, 1.3463, 1.3463],\n [1.3500, 1.3500, 1.3500],\n [1.3474, 1.3474, 1.3474],\n [1.3477, 1.3477, 1.3477],\n ...,\n [1.0904, 1.0904, 1.0904],\n [1.0908, 1.0908, 1.0908],\n [1.0906, 1.0906, 1.0906],\n [1.0921, 1.0921, 1.0921],\n [1.0923, 1.0923, 1.0923],\n [1.0950, 1.0950, 1.0950]],\n\n [[1.3485, 1.3485, 1.3485],\n [1.3365, 1.3365, 1.3365],\n [1.3420, 1.3420, 1.3420],\n [1.3463, 1.3463, 1.3463],\n [1.3440, 1.3440, 1.3440],\n [1.3455, 1.3455, 1.3455],\n ...,\n [1.0945, 1.0945, 1.0945],\n [1.0944, 1.0944, 1.0944],\n [1.0938, 1.0938, 1.0938],\n [1.0946, 1.0946, 1.0946],\n [1.0942, 1.0942, 1.0942],\n [1.0964, 1.0964, 1.0964]],\n\n [[1.3288, 1.3288, 1.3288],\n [1.3383, 1.3383, 1.3383],\n [1.3171, 1.3171, 1.3171],\n [1.3228, 1.3228, 1.3228],\n [1.3236, 1.3236, 1.3236],\n [1.3261, 1.3261, 1.3261],\n ...,\n [1.0936, 1.0936, 1.0936],\n [1.0929, 1.0929, 1.0929],\n [1.0925, 1.0925, 1.0925],\n [1.0938, 1.0938, 1.0938],\n [1.0903, 1.0903, 1.0903],\n [1.0995, 1.0995, 1.0995]]]])'], 'intrinsics': ['tensor([[[2.7918e+03, 0.0000e+00, 6.0000e+02, 0.0000e+00],\n [0.0000e+00, 2.7567e+03, 2.4800e+02, 0.0000e+00],\n [0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00],\n [0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00]]])'], 'depth_confidence': ['tensor([[[[1.0551e-04, 1.0551e-04, 1.0551e-04],\n [1.6475e-05, 1.6475e-05, 1.6475e-05],\n [1.4313e-05, 1.4313e-05, 1.4313e-05],\n [7.2956e-06, 7.2956e-06, 7.2956e-06],\n [4.7490e-06, 4.7490e-06, 4.7490e-06],\n [4.1421e-06, 4.1421e-06, 4.1421e-06],\n ...,\n [1.5437e-03, 1.5437e-03, 1.5437e-03],\n [1.5533e-03, 1.5533e-03, 1.5533e-03],\n [1.1454e-03, 1.1454e-03, 1.1454e-03],\n [1.3809e-03, 1.3809e-03, 1.3809e-03],\n [2.2522e-03, 2.2522e-03, 2.2522e-03],\n [2.3706e-03, 2.3706e-03, 2.3706e-03]],\n\n [[6.4539e-06, 6.4539e-06, 6.4539e-06],\n [1.4054e-06, 1.4054e-06, 1.4054e-06],\n [2.2109e-06, 2.2109e-06, 2.2109e-06],\n [1.0870e-06, 1.0870e-06, 1.0870e-06],\n [5.5613e-07, 5.5613e-07, 5.5613e-07],\n [4.6369e-07, 4.6369e-07, 4.6369e-07],\n ...,\n [5.5156e-04, 5.5156e-04, 5.5156e-04],\n [6.3771e-04, 6.3771e-04, 6.3771e-04],\n [5.8776e-04, 5.8776e-04, 5.8776e-04],\n [6.4638e-04, 6.4638e-04, 6.4638e-04],\n [6.4557e-04, 6.4557e-04, 6.4557e-04],\n [1.1326e-03, 1.1326e-03, 1.1326e-03]],\n\n [[9.2725e-06, 9.2725e-06, 9.2725e-06],\n [1.9895e-06, 1.9895e-06, 1.9895e-06],\n [1.7159e-06, 1.7159e-06, 1.7159e-06],\n [6.3953e-07, 6.3953e-07, 6.3953e-07],\n [2.9866e-07, 2.9866e-07, 2.9866e-07],\n [2.2933e-07, 2.2933e-07, 2.2933e-07],\n ...,\n [2.5274e-04, 2.5274e-04, 2.5274e-04],\n [3.5590e-04, 3.5590e-04, 3.5590e-04],\n [4.8251e-04, 4.8251e-04, 4.8251e-04],\n [5.1907e-04, 5.1907e-04, 5.1907e-04],\n [3.0424e-04, 3.0424e-04, 3.0424e-04],\n [6.1785e-04, 6.1785e-04, 6.1785e-04]],\n\n [[6.4871e-06, 6.4871e-06, 6.4871e-06],\n [1.2672e-06, 1.2672e-06, 1.2672e-06],\n [8.2273e-07, 8.2273e-07, 8.2273e-07],\n [2.9979e-07, 2.9979e-07, 2.9979e-07],\n [1.6241e-07, 1.6241e-07, 1.6241e-07],\n [1.1570e-07, 1.1570e-07, 1.1570e-07],\n ...,\n [1.2716e-04, 1.2716e-04, 1.2716e-04],\n [2.0406e-04, 2.0406e-04, 2.0406e-04],\n [3.2673e-04, 3.2673e-04, 3.2673e-04],\n [3.1335e-04, 3.1335e-04, 3.1335e-04],\n [1.4675e-04, 1.4675e-04, 1.4675e-04],\n [3.9013e-04, 3.9013e-04, 3.9013e-04]],\n\n [[4.2720e-06, 4.2720e-06, 4.2720e-06],\n [8.7715e-07, 8.7715e-07, 8.7715e-07],\n [5.0257e-07, 5.0257e-07, 5.0257e-07],\n [2.2874e-07, 2.2874e-07, 2.2874e-07],\n [1.3854e-07, 1.3854e-07, 1.3854e-07],\n [9.1828e-08, 9.1828e-08, 9.1828e-08],\n ...,\n [1.0740e-04, 1.0740e-04, 1.0740e-04],\n [1.6829e-04, 1.6829e-04, 1.6829e-04],\n [2.5593e-04, 2.5593e-04, 2.5593e-04],\n [2.3692e-04, 2.3692e-04, 2.3692e-04],\n [1.1048e-04, 1.1048e-04, 1.1048e-04],\n [3.4622e-04, 3.4622e-04, 3.4622e-04]],\n\n [[3.3996e-06, 3.3996e-06, 3.3996e-06],\n [7.0711e-07, 7.0711e-07, 7.0711e-07],\n [3.5078e-07, 3.5078e-07, 3.5078e-07],\n [1.6180e-07, 1.6180e-07, 1.6180e-07],\n [1.1467e-07, 1.1467e-07, 1.1467e-07],\n [6.7997e-08, 6.7997e-08, 6.7997e-08],\n ...,\n [9.1761e-05, 9.1761e-05, 9.1761e-05],\n [1.3695e-04, 1.3695e-04, 1.3695e-04],\n [1.9895e-04, 1.9895e-04, 1.9895e-04],\n [1.8880e-04, 1.8880e-04, 1.8880e-04],\n [9.9015e-05, 9.9015e-05, 9.9015e-05],\n [2.6708e-04, 2.6708e-04, 2.6708e-04]],\n\n ...,\n\n [[7.7251e-04, 7.7251e-04, 7.7251e-04],\n [2.0867e-04, 2.0867e-04, 2.0867e-04],\n [2.6423e-04, 2.6423e-04, 2.6423e-04],\n [2.3267e-04, 2.3267e-04, 2.3267e-04],\n [2.8509e-04, 2.8509e-04, 2.8509e-04],\n [2.9357e-04, 2.9357e-04, 2.9357e-04],\n ...,\n [1.4555e-01, 1.4555e-01, 1.4555e-01],\n [1.4624e-01, 1.4624e-01, 1.4624e-01],\n [1.4010e-01, 1.4010e-01, 1.4010e-01],\n [1.4272e-01, 1.4272e-01, 1.4272e-01],\n [1.5074e-01, 1.5074e-01, 1.5074e-01],\n [1.6939e-01, 1.6939e-01, 1.6939e-01]],\n\n [[9.5145e-04, 9.5145e-04, 9.5145e-04],\n [3.4620e-04, 3.4620e-04, 3.4620e-04],\n [3.5742e-04, 3.5742e-04, 3.5742e-04],\n [2.4712e-04, 2.4712e-04, 2.4712e-04],\n [2.8795e-04, 2.8795e-04, 2.8795e-04],\n [3.1494e-04, 3.1494e-04, 3.1494e-04],\n ...,\n [1.5051e-01, 1.5051e-01, 1.5051e-01],\n [1.5105e-01, 1.5105e-01, 1.5105e-01],\n [1.4456e-01, 1.4456e-01, 1.4456e-01],\n [1.4688e-01, 1.4688e-01, 1.4688e-01],\n [1.5520e-01, 1.5520e-01, 1.5520e-01],\n [1.7558e-01, 1.7558e-01, 1.7558e-01]],\n\n [[8.8415e-04, 8.8415e-04, 8.8415e-04],\n [5.5222e-04, 5.5222e-04, 5.5222e-04],\n [4.6194e-04, 4.6194e-04, 4.6194e-04],\n [2.5930e-04, 2.5930e-04, 2.5930e-04],\n [2.5176e-04, 2.5176e-04, 2.5176e-04],\n [2.4765e-04, 2.4765e-04, 2.4765e-04],\n ...,\n [1.4975e-01, 1.4975e-01, 1.4975e-01],\n [1.5012e-01, 1.5012e-01, 1.5012e-01],\n [1.4397e-01, 1.4397e-01, 1.4397e-01],\n [1.4655e-01, 1.4655e-01, 1.4655e-01],\n [1.5703e-01, 1.5703e-01, 1.5703e-01],\n [1.7167e-01, 1.7167e-01, 1.7167e-01]],\n\n [[6.0054e-04, 6.0054e-04, 6.0054e-04],\n [5.3025e-04, 5.3025e-04, 5.3025e-04],\n [6.2534e-04, 6.2534e-04, 6.2534e-04],\n [4.0598e-04, 4.0598e-04, 4.0598e-04],\n [3.5677e-04, 3.5677e-04, 3.5677e-04],\n [3.0796e-04, 3.0796e-04, 3.0796e-04],\n ...,\n [1.5186e-01, 1.5186e-01, 1.5186e-01],\n [1.5224e-01, 1.5224e-01, 1.5224e-01],\n [1.4727e-01, 1.4727e-01, 1.4727e-01],\n [1.5167e-01, 1.5167e-01, 1.5167e-01],\n [1.6711e-01, 1.6711e-01, 1.6711e-01],\n [1.6688e-01, 1.6688e-01, 1.6688e-01]],\n\n [[4.9502e-04, 4.9502e-04, 4.9502e-04],\n [3.5169e-04, 3.5169e-04, 3.5169e-04],\n [6.1043e-04, 6.1043e-04, 6.1043e-04],\n [6.1216e-04, 6.1216e-04, 6.1216e-04],\n [5.6385e-04, 5.6385e-04, 5.6385e-04],\n [4.5968e-04, 4.5968e-04, 4.5968e-04],\n ...,\n [1.6578e-01, 1.6578e-01, 1.6578e-01],\n [1.6612e-01, 1.6612e-01, 1.6612e-01],\n [1.6227e-01, 1.6227e-01, 1.6227e-01],\n [1.7337e-01, 1.7337e-01, 1.7337e-01],\n [1.9802e-01, 1.9802e-01, 1.9802e-01],\n [2.0230e-01, 2.0230e-01, 2.0230e-01]],\n\n [[3.1704e-03, 3.1704e-03, 3.1704e-03],\n [1.3912e-03, 1.3912e-03, 1.3912e-03],\n [3.1459e-03, 3.1459e-03, 3.1459e-03],\n [4.1839e-03, 4.1839e-03, 4.1839e-03],\n [3.0575e-03, 3.0575e-03, 3.0575e-03],\n [2.2110e-03, 2.2110e-03, 2.2110e-03],\n ...,\n [1.5772e-01, 1.5772e-01, 1.5772e-01],\n [1.5799e-01, 1.5799e-01, 1.5799e-01],\n [1.5305e-01, 1.5305e-01, 1.5305e-01],\n [1.7875e-01, 1.7875e-01, 1.7875e-01],\n [1.9739e-01, 1.9739e-01, 1.9739e-01],\n [1.8382e-01, 1.8382e-01, 1.8382e-01]]]])']}, 'current_outputs': ['39', '18', '29', '16', '44', '58', '43', '60', '46', '59', '36', '40', '41', '4', '24', '35'], 'timestamp': 1778324317142}
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Details:
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Workflow: C:\ComfyUI-SAM3DBody\workflows\multiple_masks_depthcorrected.json
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Node error: SAM3DBodyProcessMultiple</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">rigging</span>
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<span class="failed-duration">7.05s</span>
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</div>
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<div class="failed-error">Workflow execution failed: {'prompt_id': 'e203f09b-1452-4fbf-a986-ad40c75a22c6', 'node_id': '10', 'node_type': 'SAM3DBodyProcess', 'executed': ['3', '15'], 'exception_message': "No module named 'roma'\n", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File "C:\\workspaces\\SAM3DBody-1252\\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 "C:\\workspaces\\SAM3DBody-1252\\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 "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py", line 297, in process_inputs\n result = f(**inputs)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\internal\\__init__.py", line 149, in wrapped_func\n return method(locked_class, **inputs)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\latest\\_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\process.py", line 161, in execute\n from .sam_3d_body import SAM3DBodyEstimator\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\__init__.py", line 5, in <module>\n from .build_models import load_sam_3d_body\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\build_models.py", line 5, in <module>\n from .model import SAM3DBody\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\model.py", line 12, in <module>\n import roma\n'], 'current_inputs': {'bbox_threshold': [0.8], 'inference_type': ['full'], 'model': ["{'model_path': 'C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\models\\\\sam3dbody', 'ckpt_path': 'C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\models\\\\sam3dbody\\\\model.safetensors', 'mhr_path': 'C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\models\\\\sam3dbody\\\\assets\\\\mhr_model.pt', 'precision': 'bf16'}"], 'image': ['tensor([[[[0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8745, 0.8078, 0.7373],\n [0.8745, 0.8078, 0.7373],\n ...,\n [0.6510, 0.3333, 0.2667],\n [0.6353, 0.3333, 0.2627],\n [0.6314, 0.3333, 0.2784],\n [0.6235, 0.3412, 0.2824],\n [0.6196, 0.3569, 0.2941],\n [0.6196, 0.3608, 0.2980]],\n\n [[0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n ...,\n [0.6471, 0.3294, 0.2627],\n [0.6314, 0.3294, 0.2588],\n [0.6275, 0.3294, 0.2745],\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3529, 0.2902],\n [0.6118, 0.3529, 0.2902]],\n\n [[0.8784, 0.8118, 0.7412],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n ...,\n [0.6471, 0.3294, 0.2627],\n [0.6314, 0.3294, 0.2588],\n [0.6275, 0.3294, 0.2745],\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3529, 0.2902],\n [0.6118, 0.3529, 0.2902]],\n\n [[0.8863, 0.8196, 0.7490],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n ...,\n [0.6510, 0.3333, 0.2667],\n [0.6353, 0.3333, 0.2627],\n [0.6314, 0.3333, 0.2784],\n [0.6196, 0.3373, 0.2784],\n [0.6118, 0.3490, 0.2863],\n [0.6118, 0.3529, 0.2902]],\n\n [[0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n ...,\n [0.6510, 0.3333, 0.2667],\n [0.6353, 0.3333, 0.2627],\n [0.6275, 0.3294, 0.2745],\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3451, 0.2863],\n [0.6118, 0.3490, 0.2863]],\n\n [[0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8902, 0.8235, 0.7529],\n ...,\n [0.6471, 0.3294, 0.2627],\n [0.6314, 0.3294, 0.2667],\n [0.6275, 0.3294, 0.2745],\n [0.6157, 0.3333, 0.2745],\n [0.6157, 0.3451, 0.2863],\n [0.6157, 0.3529, 0.2902]],\n\n ...,\n\n [[0.2863, 0.2078, 0.2157],\n [0.2863, 0.2078, 0.2157],\n [0.2863, 0.2039, 0.2235],\n [0.2902, 0.2078, 0.2275],\n [0.2941, 0.2039, 0.2275],\n [0.2863, 0.1961, 0.2196],\n ...,\n [0.4157, 0.3490, 0.3216],\n [0.4118, 0.3451, 0.3176],\n [0.4078, 0.3412, 0.3137],\n [0.4118, 0.3451, 0.3176],\n [0.3882, 0.3216, 0.2941],\n [0.3843, 0.3176, 0.2902]],\n\n [[0.2784, 0.2000, 0.2078],\n [0.2784, 0.2000, 0.2078],\n [0.2824, 0.2000, 0.2196],\n [0.2824, 0.2000, 0.2196],\n [0.2902, 0.2000, 0.2235],\n [0.2863, 0.1961, 0.2196],\n ...,\n [0.4588, 0.3922, 0.3647],\n [0.4706, 0.4039, 0.3765],\n [0.4706, 0.4039, 0.3765],\n [0.4549, 0.3882, 0.3608],\n [0.4275, 0.3608, 0.3333],\n [0.4235, 0.3569, 0.3294]],\n\n [[0.2784, 0.1961, 0.2157],\n [0.2745, 0.1922, 0.2118],\n [0.2745, 0.1961, 0.2039],\n [0.2745, 0.1961, 0.2039],\n [0.2824, 0.1961, 0.2078],\n [0.2863, 0.2000, 0.2118],\n ...,\n [0.4627, 0.3882, 0.3647],\n [0.4706, 0.3961, 0.3725],\n [0.4627, 0.3961, 0.3686],\n [0.4549, 0.3882, 0.3608],\n [0.4353, 0.3686, 0.3412],\n [0.4431, 0.3765, 0.3490]],\n\n [[0.2784, 0.1961, 0.2157],\n [0.2745, 0.1922, 0.2118],\n [0.2667, 0.1882, 0.1961],\n [0.2667, 0.1882, 0.1961],\n [0.2745, 0.1882, 0.2000],\n [0.2784, 0.1922, 0.2039],\n ...,\n [0.4471, 0.3725, 0.3490],\n [0.4627, 0.3882, 0.3647],\n [0.4627, 0.3961, 0.3686],\n [0.4588, 0.3922, 0.3647],\n [0.4588, 0.3922, 0.3647],\n [0.4667, 0.4000, 0.3725]],\n\n [[0.2824, 0.2000, 0.2196],\n [0.2784, 0.1961, 0.2157],\n [0.2784, 0.1922, 0.2039],\n [0.2745, 0.1882, 0.2000],\n [0.2745, 0.1882, 0.2000],\n [0.2824, 0.1961, 0.2078],\n ...,\n [0.4431, 0.3686, 0.3529],\n [0.4588, 0.3843, 0.3686],\n [0.4667, 0.3922, 0.3765],\n [0.4667, 0.3922, 0.3765],\n [0.4392, 0.3647, 0.3490],\n [0.4431, 0.3686, 0.3529]],\n\n [[0.2824, 0.2000, 0.2196],\n [0.2863, 0.2039, 0.2235],\n [0.2902, 0.2039, 0.2157],\n [0.2863, 0.2000, 0.2118],\n [0.2863, 0.2000, 0.2118],\n [0.2902, 0.2039, 0.2157],\n ...,\n [0.4078, 0.3333, 0.3176],\n [0.4235, 0.3490, 0.3333],\n [0.4275, 0.3529, 0.3373],\n [0.4196, 0.3451, 0.3294],\n [0.4157, 0.3412, 0.3255],\n [0.4196, 0.3451, 0.3294]]]])'], 'mask': ['tensor([[[1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n ...,\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.]]])']}, 'current_outputs': ['15', '13', '10', '3', '4', '12'], 'timestamp': 1778324324717}
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Details:
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Workflow: C:\ComfyUI-SAM3DBody\workflows\rigging.json
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Node error: SAM3DBodyProcess</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">workflow</span>
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<span class="failed-duration">6.71s</span>
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</div>
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<div class="failed-error">Workflow execution failed: {'prompt_id': 'caf6ed6f-acb2-4dd7-9c98-fabfea6b7796', 'node_id': '13', 'node_type': 'SAM3DBodyProcess', 'executed': ['3', '12'], 'exception_message': "No module named 'roma'\n", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File "C:\\workspaces\\SAM3DBody-1252\\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 "C:\\workspaces\\SAM3DBody-1252\\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 "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py", line 297, in process_inputs\n result = f(**inputs)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\internal\\__init__.py", line 149, in wrapped_func\n return method(locked_class, **inputs)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\latest\\_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\process.py", line 161, in execute\n from .sam_3d_body import SAM3DBodyEstimator\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\__init__.py", line 5, in <module>\n from .build_models import load_sam_3d_body\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\build_models.py", line 5, in <module>\n from .model import SAM3DBody\n', ' File "C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\model.py", line 12, in <module>\n import roma\n'], 'current_inputs': {'bbox_threshold': [0.8], 'inference_type': ['full'], 'model': ["{'model_path': 'C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\models\\\\sam3dbody', 'ckpt_path': 'C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\models\\\\sam3dbody\\\\model.safetensors', 'mhr_path': 'C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\models\\\\sam3dbody\\\\assets\\\\mhr_model.pt', 'precision': 'bf16'}"], 'image': ['tensor([[[[0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8745, 0.8078, 0.7373],\n [0.8745, 0.8078, 0.7373],\n ...,\n [0.6510, 0.3333, 0.2667],\n [0.6353, 0.3333, 0.2627],\n [0.6314, 0.3333, 0.2784],\n [0.6235, 0.3412, 0.2824],\n [0.6196, 0.3569, 0.2941],\n [0.6196, 0.3608, 0.2980]],\n\n [[0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n ...,\n [0.6471, 0.3294, 0.2627],\n [0.6314, 0.3294, 0.2588],\n [0.6275, 0.3294, 0.2745],\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3529, 0.2902],\n [0.6118, 0.3529, 0.2902]],\n\n [[0.8784, 0.8118, 0.7412],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n ...,\n [0.6471, 0.3294, 0.2627],\n [0.6314, 0.3294, 0.2588],\n [0.6275, 0.3294, 0.2745],\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3529, 0.2902],\n [0.6118, 0.3529, 0.2902]],\n\n [[0.8863, 0.8196, 0.7490],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n ...,\n [0.6510, 0.3333, 0.2667],\n [0.6353, 0.3333, 0.2627],\n [0.6314, 0.3333, 0.2784],\n [0.6196, 0.3373, 0.2784],\n [0.6118, 0.3490, 0.2863],\n [0.6118, 0.3529, 0.2902]],\n\n [[0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n ...,\n [0.6510, 0.3333, 0.2667],\n [0.6353, 0.3333, 0.2627],\n [0.6275, 0.3294, 0.2745],\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3451, 0.2863],\n [0.6118, 0.3490, 0.2863]],\n\n [[0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8902, 0.8235, 0.7529],\n ...,\n [0.6471, 0.3294, 0.2627],\n [0.6314, 0.3294, 0.2667],\n [0.6275, 0.3294, 0.2745],\n [0.6157, 0.3333, 0.2745],\n [0.6157, 0.3451, 0.2863],\n [0.6157, 0.3529, 0.2902]],\n\n ...,\n\n [[0.2863, 0.2078, 0.2157],\n [0.2863, 0.2078, 0.2157],\n [0.2863, 0.2039, 0.2235],\n [0.2902, 0.2078, 0.2275],\n [0.2941, 0.2039, 0.2275],\n [0.2863, 0.1961, 0.2196],\n ...,\n [0.4157, 0.3490, 0.3216],\n [0.4118, 0.3451, 0.3176],\n [0.4078, 0.3412, 0.3137],\n [0.4118, 0.3451, 0.3176],\n [0.3882, 0.3216, 0.2941],\n [0.3843, 0.3176, 0.2902]],\n\n [[0.2784, 0.2000, 0.2078],\n [0.2784, 0.2000, 0.2078],\n [0.2824, 0.2000, 0.2196],\n [0.2824, 0.2000, 0.2196],\n [0.2902, 0.2000, 0.2235],\n [0.2863, 0.1961, 0.2196],\n ...,\n [0.4588, 0.3922, 0.3647],\n [0.4706, 0.4039, 0.3765],\n [0.4706, 0.4039, 0.3765],\n [0.4549, 0.3882, 0.3608],\n [0.4275, 0.3608, 0.3333],\n [0.4235, 0.3569, 0.3294]],\n\n [[0.2784, 0.1961, 0.2157],\n [0.2745, 0.1922, 0.2118],\n [0.2745, 0.1961, 0.2039],\n [0.2745, 0.1961, 0.2039],\n [0.2824, 0.1961, 0.2078],\n [0.2863, 0.2000, 0.2118],\n ...,\n [0.4627, 0.3882, 0.3647],\n [0.4706, 0.3961, 0.3725],\n [0.4627, 0.3961, 0.3686],\n [0.4549, 0.3882, 0.3608],\n [0.4353, 0.3686, 0.3412],\n [0.4431, 0.3765, 0.3490]],\n\n [[0.2784, 0.1961, 0.2157],\n [0.2745, 0.1922, 0.2118],\n [0.2667, 0.1882, 0.1961],\n [0.2667, 0.1882, 0.1961],\n [0.2745, 0.1882, 0.2000],\n [0.2784, 0.1922, 0.2039],\n ...,\n [0.4471, 0.3725, 0.3490],\n [0.4627, 0.3882, 0.3647],\n [0.4627, 0.3961, 0.3686],\n [0.4588, 0.3922, 0.3647],\n [0.4588, 0.3922, 0.3647],\n [0.4667, 0.4000, 0.3725]],\n\n [[0.2824, 0.2000, 0.2196],\n [0.2784, 0.1961, 0.2157],\n [0.2784, 0.1922, 0.2039],\n [0.2745, 0.1882, 0.2000],\n [0.2745, 0.1882, 0.2000],\n [0.2824, 0.1961, 0.2078],\n ...,\n [0.4431, 0.3686, 0.3529],\n [0.4588, 0.3843, 0.3686],\n [0.4667, 0.3922, 0.3765],\n [0.4667, 0.3922, 0.3765],\n [0.4392, 0.3647, 0.3490],\n [0.4431, 0.3686, 0.3529]],\n\n [[0.2824, 0.2000, 0.2196],\n [0.2863, 0.2039, 0.2235],\n [0.2902, 0.2039, 0.2157],\n [0.2863, 0.2000, 0.2118],\n [0.2863, 0.2000, 0.2118],\n [0.2902, 0.2039, 0.2157],\n ...,\n [0.4078, 0.3333, 0.3176],\n [0.4235, 0.3490, 0.3333],\n [0.4275, 0.3529, 0.3373],\n [0.4196, 0.3451, 0.3294],\n [0.4157, 0.3412, 0.3255],\n [0.4196, 0.3451, 0.3294]]]])'], 'mask': ['tensor([[[1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n ...,\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.]]])']}, 'current_outputs': ['15', '13', '10', '3', '4', '12'], 'timestamp': 1778324331687}
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Details:
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Workflow: C:\ComfyUI-SAM3DBody\workflows\workflow.json
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Node error: SAM3DBodyProcess</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">14 files · 7.7 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">5.1 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_giant.safetensors</span><span class="models-file-size">5.1 GB</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">195.0 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">128.0 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/sam3dbody/</span>
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<span class="models-folder-meta">
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<span class="models-folder-size">2.6 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">model.safetensors</span><span class="models-file-size">2.0 GB</span></div>
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<div class="models-file"><span class="models-file-path">assets\mhr_model.pt</span><span class="models-file-size">663.9 MB</span></div>
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<div class="models-file"><span class="models-file-path">.gitattributes</span><span class="models-file-size">1.5 KB</span></div>
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<div class="models-file"><span class="models-file-path">model_config.yaml</span><span class="models-file-size">1.5 KB</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">195.0 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">128.0 B</span></div>
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<div class="models-file"><span class="models-file-path">.cache\huggingface\download\assets\mhr_model.pt.metadata</span><span class="models-file-size">128.0 B</span></div>
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<div class="models-file"><span class="models-file-path">.cache\huggingface\download\.gitattributes.metadata</span><span class="models-file-size">104.0 B</span></div>
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<div class="models-file"><span class="models-file-path">.cache\huggingface\download\model_config.yaml.metadata</span><span class="models-file-size">104.0 B</span></div>
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<div class="models-file"><span class="models-file-path">.cache\huggingface\.gitignore</span><span class="models-file-size">1.0 B</span></div>
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</div>
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</details>
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</div>
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</div>
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<div class="lightbox" id="lightbox">
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<button class="lightbox-close" onclick="closeLightbox()">×</button>
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<button class="lightbox-nav lightbox-nav-left" onclick="navigateLightbox(-1)">‹</button>
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<button class="lightbox-nav lightbox-nav-right" onclick="navigateLightbox(1)">›</button>
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<div class="lightbox-content">
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<img id="lightbox-img" src="" alt="">
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<video id="lightbox-video" controls preload="metadata" style="display:none; max-width:90vw; max-height:80vh; background:#000;"></video>
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<div class="video-player" id="video-player">
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<div class="video-slider-container">
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<div id="video-slider"></div>
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</div>
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<div class="video-controls">
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<span class="video-frame-counter" id="video-frame-counter">0.0s / 0.0s</span>
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</div>
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</div>
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<div class="resource-graph" id="resource-graph">
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<div class="resource-graph-title">Resource Usage</div>
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<canvas id="resource-canvas"></canvas>
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<div class="resource-legend">
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<span><span class="dot ram"></span> RAM (GB)</span>
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<span id="gpu-legend" style="display:none"><span class="dot gpu"></span> VRAM (GB)</span>
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</div>
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</div>
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<div class="lightbox-info">
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<div>
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<span class="lightbox-title" id="lightbox-title"></span>
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<span class="lightbox-hardware" id="lightbox-hardware"></span>
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</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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const workflowData = {"multiple_masks": {"src": "", "title": "multiple_masks", "status": "fail", "duration": "27.61", "log": "Capturing execution frames: multiple_masks.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 8 nodes\n Queuing workflow for execution...\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"16\", 1]}\n [ComfyUI] Node 16: SAM3DBodyProcessMultiple\n [ComfyUI] Inputs: {\"inference_type\": \"full\", \"adjust_position_from_depth\": false, \"model\": [\"24\", 0], \"image\": [\"36\", 0], \"masks\": [\"39\", 0]}\n [ComfyUI] Node 18: SAM3DBodyExportMultipleFBX\n [ComfyUI] Inputs: {\"output_filename\": \"sam3d_multi_rigged.fbx\", \"combine\": true, \"multi_mesh_data\": [\"16\", 0]}\n [ComfyUI] Node 24: LoadSAM3DBodyModel\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Node 29: Preview3D\n [ComfyUI] Inputs: {\"model_file\": [\"18\", 0], \"image\": \"\"}\n [ComfyUI] Node 35: MultibandLoad\n [ComfyUI] Inputs: {\"image\": \"people.npz\", \"normalize\": true}\n [ComfyUI] Node 36: MultibandToImage\n [ComfyUI] Inputs: {\"channels\": \"0,1,2\", \"multiband\": [\"35\", 0]}\n [ComfyUI] Node 39: MultibandToMasks\n [ComfyUI] Inputs: {\"channels\": \"0\", \"auto_detect_masks\": true, \"multiband\": [\"35\", 0]}\n [ComfyUI] Generated prompt_id: 8c1dad9d-b1d6-4577-9328-c70453d69e81\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] Precision: bf16\n [ComfyUI] Model not found locally. Downloading from HuggingFace...\n [ComfyUI] HTTP Request: GET https://huggingface.co/api/models/apozz/sam-3d-body-safetensors/revision/main \"HTTP/1.1 200 OK\"\n [ComfyUI] \n [ComfyUI] Downloading (incomplete total...): 0.00B [00:00, ?B/s]\n [ComfyUI] \n [ComfyUI] Fetching 4 files: 0%| | 0/4 [00:00<?, ?it/s]\u001b[AHTTP Request: HEAD https://huggingface.co/apozz/sam-3d-body-safetensors/resolve/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/model_config.yaml \"HTTP/1.1 307 Temporary Redirect\"\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] 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] HTTP Request: HEAD https://huggingface.co/api/resolve-cache/models/apozz/sam-3d-body-safetensors/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/model_config.yaml \"HTTP/1.1 200 OK\"\n [ComfyUI] HTTP Request: GET https://huggingface.co/api/resolve-cache/models/apozz/sam-3d-body-safetensors/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/model_config.yaml \"HTTP/1.1 200 OK\"\n [ComfyUI] \n [ComfyUI] Downloading (incomplete total...): 1.49kB [00:00, 10.4kB/s]HTTP Request: HEAD https://huggingface.co/apozz/sam-3d-body-safetensors/resolve/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/model.safetensors \"HTTP/1.1 302 Found\"\n [ComfyUI] HTTP Request: HEAD https://huggingface.co/apozz/sam-3d-body-safetensors/resolve/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/assets/mhr_model.pt \"HTTP/1.1 302 Found\"\n [ComfyUI] HTTP Request: HEAD https://huggingface.co/apozz/sam-3d-body-safetensors/resolve/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/.gitattributes \"HTTP/1.1 307 Temporary Redirect\"\n [ComfyUI] HTTP Request: HEAD https://huggingface.co/api/resolve-cache/models/apozz/sam-3d-body-safetensors/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/.gitattributes \"HTTP/1.1 200 OK\"\n [ComfyUI] HTTP Request: GET https://huggingface.co/api/resolve-cache/models/apozz/sam-3d-body-safetensors/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/.gitattributes \"HTTP/1.1 200 OK\"\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Fetching 4 files: 25%|##5 | 1/4 [00:00<00:00, 4.45it/s]\u001b[AHTTP Request: GET https://huggingface.co/api/models/apozz/sam-3d-body-safetensors/xet-read-token/0c0bd82453ec0a6c14caa2de3ae47c667c11546a \"HTTP/1.1 200 OK\"\n [ComfyUI] \n [ComfyUI] Downloading (incomplete total...): 0%| | 3.01k/696M [00:00<18:33:12, 10.4kB/s]HTTP Request: GET https://huggingface.co/api/models/apozz/sam-3d-body-safetensors/xet-read-token/0c0bd82453ec0a6c14caa2de3ae47c667c11546a \"HTTP/1.1 200 OK\"\n [ComfyUI] \n [ComfyUI] Downloading (incomplete total...): 0%| | 3.01k/2.83G [00:00<75:23:50, 10.4kB/s]\n [ComfyUI] Downloading (incomplete total...): 0%| | 3.01k/2.83G [00:00<139:47:35, 5.62kB/s]\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=4ms shot=123ms unfreeze=4ms saved=True\n [ComfyUI] Downloading (incomplete total...): 9%|8 | 252M/2.83G [00:01<00:18, 139MB/s]\n [ComfyUI] Downloading (incomplete total...): 14%|#3 | 385M/2.83G [00:02<00:15, 153MB/s]\n [ComfyUI] Downloading (incomplete total...): 21%|## | 586M/2.83G [00:02<00:08, 251MB/s]\n [ComfyUI] \n [ComfyUI] Fetching 4 files: 50%|##### | 2/4 [00:03<00:03, 1.76s/it]\u001b[A\n [ComfyUI] Downloading (incomplete total...): 28%|##8 | 792M/2.83G [00:03<00:06, 300MB/s]\n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=3ms shot=119ms unfreeze=4ms saved=True\n [ComfyUI] Downloading (incomplete total...): 31%|### | 864M/2.83G [00:03<00:06, 297MB/s]\n [ComfyUI] Downloading (incomplete total...): 33%|###2 | 924M/2.83G [00:04<00:08, 238MB/s]\n [ComfyUI] Downloading (incomplete total...): 34%|###3 | 952M/2.83G [00:04<00:08, 214MB/s]\n [ComfyUI] Downloading (incomplete total...): 34%|###4 | 975M/2.83G [00:04<00:12, 154MB/s]\n [ComfyUI] Downloading (incomplete total...): 35%|###5 | 998M/2.83G [00:05<00:12, 141MB/s]\n [capture-loop] iter=50 t=6.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=10.4/31.9GB (33%) swap=0.8/13.5GB (6%) cpu=7% browser_rss=0.64GB\n [ComfyUI] Downloading (incomplete total...): 37%|###6 | 1.04G/2.83G [00:05<00:12, 145MB/s]\n [ComfyUI] Downloading (incomplete total...): 40%|###9 | 1.12G/2.83G [00:06<00:13, 127MB/s]\n [ComfyUI] Downloading (incomplete total...): 43%|####3 | 1.22G/2.83G [00:06<00:08, 183MB/s]\n [ComfyUI] Downloading (incomplete total...): 47%|####6 | 1.33G/2.83G [00:07<00:09, 163MB/s]\n [ComfyUI] Downloading (incomplete total...): 49%|####8 | 1.38G/2.83G [00:07<00:08, 172MB/s]\n [ComfyUI] Downloading (incomplete total...): 51%|##### | 1.43G/2.83G [00:07<00:09, 148MB/s]\n [ComfyUI] Downloading (incomplete total...): 52%|#####1 | 1.47G/2.83G [00:08<00:11, 122MB/s]\n [ComfyUI] Downloading (incomplete total...): 53%|#####2 | 1.49G/2.83G [00:08<00:11, 116MB/s]\n [ComfyUI] Downloading (incomplete total...): 53%|#####3 | 1.50G/2.83G [00:08<00:12, 103MB/s]\n [ComfyUI] Downloading (incomplete total...): 54%|#####4 | 1.53G/2.83G [00:09<00:12, 104MB/s]\n [ComfyUI] Downloading (incomplete total...): 55%|#####5 | 1.56G/2.83G [00:09<00:11, 107MB/s]\n [ComfyUI] Downloading (incomplete total...): 58%|#####8 | 1.65G/2.83G [00:09<00:06, 175MB/s]\n [ComfyUI] Downloading (incomplete total...): 59%|#####9 | 1.68G/2.83G [00:09<00:07, 163MB/s]\n [ComfyUI] Downloading (incomplete total...): 61%|###### | 1.71G/2.83G [00:10<00:07, 152MB/s]\n [ComfyUI] Downloading (incomplete total...): 63%|######3 | 1.80G/2.83G [00:11<00:12, 83.6MB/s]\n [capture-loop] iter=100 t=12.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=11.0/31.9GB (35%) swap=0.8/13.5GB (6%) cpu=14% browser_rss=0.64GB\n [ComfyUI] Downloading (incomplete total...): 70%|######9 | 1.97G/2.83G [00:12<00:05, 152MB/s]\n [ComfyUI] Downloading (incomplete total...): 73%|#######2 | 2.06G/2.83G [00:12<00:05, 138MB/s]\n [ComfyUI] Downloading (incomplete total...): 74%|#######4 | 2.10G/2.83G [00:13<00:05, 140MB/s]\n [ComfyUI] Downloading (incomplete total...): 75%|#######4 | 2.12G/2.83G [00:13<00:05, 133MB/s]\n [ComfyUI] Downloading (incomplete total...): 77%|#######6 | 2.17G/2.83G [00:13<00:04, 150MB/s]\n [ComfyUI] Downloading (incomplete total...): 77%|#######7 | 2.19G/2.83G [00:13<00:04, 132MB/s]\n [ComfyUI] Downloading (incomplete total...): 79%|#######8 | 2.23G/2.83G [00:14<00:04, 133MB/s]\n [ComfyUI] Downloading (incomplete total...): 79%|#######9 | 2.24G/2.83G [00:14<00:06, 92.8MB/s]\n [ComfyUI] Downloading (incomplete total...): 83%|########2 | 2.34G/2.83G [00:14<00:03, 161MB/s]\n [ComfyUI] Downloading (incomplete total...): 84%|########3 | 2.37G/2.83G [00:15<00:03, 149MB/s]\n [ComfyUI] Downloading (incomplete total...): 85%|########5 | 2.41G/2.83G [00:15<00:04, 103MB/s]\n [ComfyUI] Downloading (incomplete total...): 87%|########7 | 2.47G/2.83G [00:18<00:07, 45.8MB/s]\n [ComfyUI] Downloading (incomplete total...): 2.83GB [00:18, 177MB/s]\n [ComfyUI] \n [ComfyUI] Fetching 4 files: 75%|#######5 | 3/4 [00:18<00:08, 8.09s/it]\u001b[A\n [ComfyUI] Fetching 4 files: 100%|##########| 4/4 [00:18<00:00, 4.67s/it]\n [ComfyUI] \n [ComfyUI] Download complete: : 2.83GB [00:18, 177MB/s] Download complete.\n [ComfyUI] LoadMultibandImage: Loaded C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\input\\people.npz\n [ComfyUI] Shape: (1, 9, 720, 1280)\n [ComfyUI] Channels: 9\n [ComfyUI] Names: img_01_r,img_01_g,img_01_b,mask_01,mask_02,mask_03,mask_04,mask_05,mask_06\n [ComfyUI] MultibandToMasks: Auto-detected 6 mask channels: ['mask_01', 'mask_02', 'mask_03', 'mask_04', 'mask_05', 'mask_06']\n [ComfyUI] \n [ComfyUI] Download complete: : 2.83GB [00:18, 150MB/s]\n [ComfyUI] !!! Exception during processing !!! No module named 'roma'\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\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 \"C:\\workspaces\\SAM3DBody-1252\\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 \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\internal\\__init__.py\", line 149, in wrapped_func\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\latest\\_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\process_multiple.py\", line 1116, in execute\n [ComfyUI] from .sam_3d_body import SAM3DBodyEstimator\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\__init__.py\", line 5, in <module>\n [ComfyUI] from .build_models import load_sam_3d_body\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\build_models.py\", line 5, in <module>\n [ComfyUI] from .model import SAM3DBody\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\model.py\", line 12, in <module>\n [ComfyUI] import roma\n [ComfyUI] ModuleNotFoundError: No module named 'roma'\n [ComfyUI] \n [ComfyUI] Prompt executed in 19.12 seconds\n Execution complete (t=19.4s)\n Execution error: {'prompt_id': '69e0c99b-53a6-47ab-b1f1-63ccce0b731c', 'node_id': '16', 'node_type': 'SAM3DBodyProcessMultiple', 'executed': ['39', '24', '36', '35'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\internal\\\\__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\latest\\\\_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\process_multiple.py\", line 1116, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'inference_type': ['full'], 'adjust_position_from_depth': [False], 'model': [\"{'model_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody', 'ckpt_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\model.safetensors', 'mhr_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\assets\\\\\\\\mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n ...,\\n [0.3294, 0.5765, 0.7137],\\n [0.3451, 0.5882, 0.7333],\\n [0.3686, 0.6118, 0.7569]],\\n\\n [[0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n ...,\\n [0.3490, 0.5608, 0.6941],\\n [0.3529, 0.5647, 0.6980],\\n [0.3647, 0.5765, 0.7098]],\\n\\n [[0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n ...,\\n [0.3765, 0.5373, 0.6471],\\n [0.3725, 0.5333, 0.6431],\\n [0.3765, 0.5373, 0.6471]],\\n\\n ...,\\n\\n [[0.4941, 0.4824, 0.4157],\\n [0.4941, 0.4824, 0.4157],\\n [0.4980, 0.4863, 0.4196],\\n ...,\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059]],\\n\\n [[0.5098, 0.4980, 0.4314],\\n [0.5098, 0.4980, 0.4314],\\n [0.5137, 0.5020, 0.4353],\\n ...,\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059]],\\n\\n [[0.5176, 0.5059, 0.4392],\\n [0.5216, 0.5098, 0.4431],\\n [0.5216, 0.5098, 0.4431],\\n ...,\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059]]]])'], 'masks': ['tensor([[[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]]])']}, 'current_outputs': ['39', '18', '29', '16', '36', '4', '24', '35'], 'timestamp': 1778324254225}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': '69e0c99b-53a6-47ab-b1f1-63ccce0b731c', 'node_id': '16', 'node_type': 'SAM3DBodyProcessMultiple', 'executed': ['39', '24', '36', '35'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\internal\\\\__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\latest\\\\_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\process_multiple.py\", line 1116, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'inference_type': ['full'], 'adjust_position_from_depth': [False], 'model': [\"{'model_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody', 'ckpt_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\model.safetensors', 'mhr_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\assets\\\\\\\\mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n ...,\\n [0.3294, 0.5765, 0.7137],\\n [0.3451, 0.5882, 0.7333],\\n [0.3686, 0.6118, 0.7569]],\\n\\n [[0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n ...,\\n [0.3490, 0.5608, 0.6941],\\n [0.3529, 0.5647, 0.6980],\\n [0.3647, 0.5765, 0.7098]],\\n\\n [[0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n ...,\\n [0.3765, 0.5373, 0.6471],\\n [0.3725, 0.5333, 0.6431],\\n [0.3765, 0.5373, 0.6471]],\\n\\n ...,\\n\\n [[0.4941, 0.4824, 0.4157],\\n [0.4941, 0.4824, 0.4157],\\n [0.4980, 0.4863, 0.4196],\\n ...,\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059]],\\n\\n [[0.5098, 0.4980, 0.4314],\\n [0.5098, 0.4980, 0.4314],\\n [0.5137, 0.5020, 0.4353],\\n ...,\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059]],\\n\\n [[0.5176, 0.5059, 0.4392],\\n [0.5216, 0.5098, 0.4431],\\n [0.5216, 0.5098, 0.4431],\\n ...,\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059]]]])'], 'masks': ['tensor([[[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]]])']}, 'current_outputs': ['39', '18', '29', '16', '36', '4', '24', '35'], 'timestamp': 1778324254225}\n Details: Workflow: C:\\ComfyUI-SAM3DBody\\workflows\\multiple_masks.json\nNode error: SAM3DBodyProcessMultiple", "hardware": {"os": "Windows-10-10.0.26200-SP0", "cpu": "Intel64 Family 6 Model 79 Stepping 1, GenuineIntel", "gpu": "NVIDIA GeForce RTX 3090"}}, "multiple_masks_depthcorrected": {"src": "", "title": "multiple_masks_depthcorrected", "status": "fail", "duration": "62.83", "log": "Capturing execution frames: multiple_masks_depthcorrected.json\n [ComfyUI] Exception in callback _ProactorBasePipeTransport._call_connection_lost()\n [ComfyUI] handle: <Handle _ProactorBasePipeTransport._call_connection_lost()>\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"C:\\Users\\ContainerAdministrator\\AppData\\Roaming\\uv\\python\\cpython-3.13-windows-x86_64-none\\Lib\\asyncio\\events.py\", line 89, in _run\n [ComfyUI] self._context.run(self._callback, *self._args)\n [ComfyUI] ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"C:\\Users\\ContainerAdministrator\\AppData\\Roaming\\uv\\python\\cpython-3.13-windows-x86_64-none\\Lib\\asyncio\\proactor_events.py\", line 165, in _call_connection_lost\n [ComfyUI] self._sock.shutdown(socket.SHUT_RDWR)\n [ComfyUI] ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^\n [ComfyUI] ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host\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 16 nodes\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"16\", 1]}\n Queuing workflow for execution...\n [ComfyUI] Node 16: SAM3DBodyProcessMultiple\n [ComfyUI] Inputs: {\"inference_type\": \"full\", \"adjust_position_from_depth\": true, \"model\": [\"24\", 0], \"image\": [\"36\", 0], \"masks\": [\"39\", 0], \"depth_map\": [\"40\", 0], \"intrinsics\": [\"40\", 9], \"depth_confidence\": [\"40\", 1\n [ComfyUI] Node 18: SAM3DBodyExportMultipleFBX\n [ComfyUI] Inputs: {\"output_filename\": \"sam3d_multi_rigged.fbx\", \"combine\": true, \"multi_mesh_data\": [\"16\", 0]}\n [ComfyUI] Node 24: LoadSAM3DBodyModel\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Node 29: Preview3D\n [ComfyUI] Inputs: {\"model_file\": [\"18\", 0], \"image\": \"\", \"camera_info\": [\"60\", 0]}\n [ComfyUI] Node 35: MultibandLoad\n [ComfyUI] Inputs: {\"image\": \"fellowship.npz\", \"normalize\": true}\n [ComfyUI] Node 36: MultibandToImage\n [ComfyUI] Inputs: {\"channels\": \"0,1,2\", \"multiband\": [\"35\", 0]}\n [ComfyUI] Node 39: MultibandToMasks\n [ComfyUI] Inputs: {\"channels\": \"0\", \"auto_detect_masks\": true, \"multiband\": [\"35\", 0]}\n [ComfyUI] Node 40: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"41\", 0], \"images\": [\"36\", 0]}\n [ComfyUI] Node 41: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_giant.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 43: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"39\", 0]}\n [ComfyUI] Node 44: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"36\", 0]}\n [ComfyUI] Node 46: PreviewAny\n [ComfyUI] Inputs: {\"preview_markdown\": \"\", \"preview_text\": \"\", \"previewMode\": null, \"source\": [\"40\", 9]}\n [ComfyUI] Node 58: LoadImageDataSetFromFolder\n [ComfyUI] Inputs: {\"folder\": \"3d\"}\n [ComfyUI] Node 59: PreviewAny\n [ComfyUI] Inputs: {\"preview_markdown\": \"\", \"preview_text\": \"\", \"previewMode\": null, \"source\": [\"40\", 8]}\n [ComfyUI] Node 60: CreateLoad3DCamera\n [ComfyUI] Inputs: {\"pos_x\": 3, \"pos_y\": 5.1, \"pos_z\": 8, \"target_x\": -0.5, \"target_y\": 2.1, \"target_z\": 0.4, \"zoom\": 3, \"camera_type\": \"perspective\"}\n [ComfyUI] Generated prompt_id: 9c350a43-d104-40dc-93d2-9b09a7604dcf\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] LoadMultibandImage: Loaded C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\input\\fellowship.npz\n [ComfyUI] Shape: (1, 14, 497, 1200)\n [ComfyUI] Channels: 14\n [ComfyUI] Names: img_01_r,img_01_g,img_01_b,mask_01,mask_02,mask_03,mask_04,mask_05,mask_06,mask_07,mask_08,mask_09,m...\n [ComfyUI] MultibandToMasks: Auto-detected 11 mask channels: ['mask_01', 'mask_02', 'mask_03', 'mask_04', 'mask_05', 'mask_06', 'mask_07', 'mask_08', 'mask_09', 'mask_10', 'mask_11']\n Node executed (1 total), capturing...\n [ComfyUI] Auto-downloading da3_giant.safetensors from HuggingFace (depth-anything/DA3-GIANT-1.1)...\n Frame 2 saved (frame_001.jpg, t=0.6s)\n [capture-node] freeze=3ms shot=147ms unfreeze=4ms saved=True\n [ComfyUI] HTTP Request: HEAD https://huggingface.co/depth-anything/DA3-GIANT-1.1/resolve/main/model.safetensors \"HTTP/1.1 302 Found\"\n Node executed (2 total), capturing...\n [ComfyUI] HTTP Request: GET https://huggingface.co/api/models/depth-anything/DA3-GIANT-1.1/xet-read-token/72ee9f89ce4e50d704e9d55ee9c646ec8dc25a19 \"HTTP/1.1 200 OK\"\n Frame 3 saved (frame_002.jpg, t=1.1s)\n [capture-node] freeze=5ms shot=133ms unfreeze=4ms saved=True\n Frame 4 saved (frame_003.jpg, t=5.6s)\n [capture-periodic] freeze=3ms shot=152ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=7.0s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=5 ram=10.1/31.9GB (32%) swap=0.8/13.5GB (6%) cpu=13% browser_rss=0.65GB\n [capture-loop] iter=100 t=13.3s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=4 ram=10.3/31.9GB (32%) swap=0.8/13.5GB (6%) cpu=16% browser_rss=0.65GB\n [capture-loop] iter=150 t=19.7s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=4 ram=11.0/31.9GB (35%) swap=0.8/13.5GB (6%) cpu=18% browser_rss=0.65GB\n [capture-loop] iter=200 t=26.1s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=4 ram=11.4/31.9GB (36%) swap=0.8/13.5GB (6%) cpu=20% browser_rss=0.63GB\n [capture-loop] iter=250 t=32.2s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=5 ram=11.4/31.9GB (36%) swap=0.8/13.5GB (6%) cpu=15% browser_rss=0.63GB\n [capture-loop] iter=300 t=38.5s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=4 ram=11.9/31.9GB (37%) swap=0.8/13.5GB (6%) cpu=28% browser_rss=0.63GB\n [capture-loop] iter=350 t=44.7s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=4 ram=12.1/31.9GB (38%) swap=0.8/13.5GB (6%) cpu=22% browser_rss=0.63GB\n [ComfyUI] Downloaded model to: C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\models\\depthanything3\\da3_giant.safetensors\n [ComfyUI] Auto-detected model variant: da3-giant\n [ComfyUI] [build] model_key=da3-giant, dtype=torch.bfloat16, attention=auto\n [ComfyUI] [build] config: encoder=vitg, dim_in=3072, features=256, out_channels=[256, 512, 1024, 1024]\n [ComfyUI] Dependency 'e3nn' not found. Required for rotating the camera space SH coeff\n [ComfyUI] Built GS head and adapter for Giant model (Gaussian splatting enabled)\n [ComfyUI] [build] Loading model from: C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\models\\depthanything3\\da3_giant.safetensors\n [ComfyUI] [build] Checkpoint: 971 keys loaded\n [ComfyUI] [build] Stripped 'model.' prefix from 971 keys\n [ComfyUI] [build] Expanded 6 shared-weight keys for output_conv2_aux\n Frame 5 saved (frame_004.jpg, t=50.1s)\n [capture-periodic] freeze=5ms shot=213ms unfreeze=5ms saved=True\n [ComfyUI] Model ready (torch.bfloat16)\n [capture-loop] iter=400 t=51.1s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=3 ram=17.1/31.9GB (53%) swap=0.8/13.5GB (6%) cpu=23% browser_rss=0.63GB\n [ComfyUI] Requested to load DepthAnything3Net\n [ComfyUI] loaded completely; 21784.80 MB usable, 2581.72 MB loaded, full load: True\n [ComfyUI] Input image size: 497x1200\n [ComfyUI] Model input size (after resize): 504x1204\n [ComfyUI] Model supports 3D Gaussians - will output raw Gaussians\n [ComfyUI] [VRAM backbone] DONE: allocated=2.63GB reserved=2.78GB\n [ComfyUI] plyfile not installed - cannot save Gaussians to PLY. Install with: pip install plyfile\n [ComfyUI] Precision: bf16\n [ComfyUI] !!! Exception during processing !!! No module named 'roma'\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\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 \"C:\\workspaces\\SAM3DBody-1252\\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 \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\internal\\__init__.py\", line 149, in wrapped_func\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\latest\\_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\process_multiple.py\", line 1116, in execute\n [ComfyUI] from .sam_3d_body import SAM3DBodyEstimator\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\__init__.py\", line 5, in <module>\n [ComfyUI] from .build_models import load_sam_3d_body\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\build_models.py\", line 5, in <module>\n [ComfyUI] from .model import SAM3DBody\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\model.py\", line 12, in <module>\n [ComfyUI] import roma\n [ComfyUI] ModuleNotFoundError: No module named 'roma'\n [ComfyUI] \n [ComfyUI] Prompt executed in 55.75 seconds\n Node executed (4 total), capturing...\n Frame 6 saved (frame_005.jpg, t=56.1s)\n [capture-node] freeze=3ms shot=148ms unfreeze=5ms saved=True\n Execution complete (t=56.5s)\n Execution error: {'prompt_id': '993762d2-1a50-4546-9b6e-00b58fee7bbf', 'node_id': '16', 'node_type': 'SAM3DBodyProcessMultiple', 'executed': ['39', '44', '43', '60', '46', '59', '36', '41', '40', '24', '35'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\internal\\\\__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\latest\\\\_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\process_multiple.py\", line 1116, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'inference_type': ['full'], 'adjust_position_from_depth': [True], 'model': [\"{'model_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody', 'ckpt_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\model.safetensors', 'mhr_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\assets\\\\\\\\mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0275, 0.0314, 0.0000],\\n [0.0745, 0.0549, 0.0000],\\n [0.1490, 0.1216, 0.0667],\\n [0.1922, 0.1451, 0.0980],\\n [0.2392, 0.1843, 0.1412],\\n [0.1608, 0.1059, 0.0627]],\\n\\n [[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0549, 0.0471, 0.0000],\\n [0.0824, 0.0667, 0.0078],\\n [0.1686, 0.1333, 0.0824],\\n [0.1961, 0.1529, 0.1059],\\n [0.2353, 0.1804, 0.1373],\\n [0.1569, 0.0902, 0.0510]],\\n\\n [[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0706, 0.0510, 0.0000],\\n [0.1059, 0.0784, 0.0275],\\n [0.1922, 0.1451, 0.0980],\\n [0.2118, 0.1569, 0.1137],\\n [0.2314, 0.1686, 0.1255],\\n [0.1373, 0.0627, 0.0275]],\\n\\n [[0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0706, 0.0431, 0.0000],\\n [0.1412, 0.0980, 0.0510],\\n [0.2078, 0.1529, 0.1098],\\n [0.2275, 0.1647, 0.1216],\\n [0.2353, 0.1608, 0.1216],\\n [0.1294, 0.0471, 0.0118]],\\n\\n [[0.0235, 0.0627, 0.0510],\\n [0.0235, 0.0627, 0.0510],\\n [0.0235, 0.0627, 0.0510],\\n [0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0157, 0.0549, 0.0392],\\n ...,\\n [0.1608, 0.1137, 0.0667],\\n [0.1882, 0.1333, 0.0902],\\n [0.2196, 0.1451, 0.1098],\\n [0.2078, 0.1255, 0.0902],\\n [0.2235, 0.1294, 0.0980],\\n [0.1451, 0.0392, 0.0118]],\\n\\n [[0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0157, 0.0549, 0.0392],\\n [0.0157, 0.0549, 0.0392],\\n ...,\\n [0.2157, 0.1608, 0.1176],\\n [0.2235, 0.1569, 0.1176],\\n [0.2392, 0.1569, 0.1216],\\n [0.2196, 0.1255, 0.0941],\\n [0.2196, 0.1176, 0.0902],\\n [0.1451, 0.0314, 0.0078]],\\n\\n ...,\\n\\n [[0.4235, 0.1961, 0.1216],\\n [0.5725, 0.3373, 0.2549],\\n [0.5412, 0.3059, 0.2078],\\n [0.5843, 0.3373, 0.2235],\\n [0.6078, 0.3412, 0.2157],\\n [0.6314, 0.3529, 0.2078],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4314, 0.1922, 0.1294],\\n [0.5216, 0.2824, 0.2118],\\n [0.5373, 0.2941, 0.2039],\\n [0.5804, 0.3216, 0.2235],\\n [0.6078, 0.3333, 0.2118],\\n [0.6431, 0.3608, 0.2157],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4275, 0.1882, 0.1255],\\n [0.5176, 0.2706, 0.2039],\\n [0.5333, 0.2824, 0.1961],\\n [0.5686, 0.3098, 0.2078],\\n [0.5961, 0.3216, 0.2000],\\n [0.6353, 0.3451, 0.2118],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4078, 0.1686, 0.1059],\\n [0.5020, 0.2549, 0.1843],\\n [0.5176, 0.2627, 0.1804],\\n [0.5529, 0.2941, 0.1961],\\n [0.5804, 0.3059, 0.1843],\\n [0.6196, 0.3294, 0.1961],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4000, 0.1608, 0.0980],\\n [0.4902, 0.2431, 0.1765],\\n [0.5059, 0.2549, 0.1686],\\n [0.5412, 0.2824, 0.1804],\\n [0.5725, 0.2980, 0.1765],\\n [0.6118, 0.3216, 0.1882],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4000, 0.1529, 0.0941],\\n [0.4588, 0.2118, 0.1451],\\n [0.5059, 0.2549, 0.1686],\\n [0.5373, 0.2667, 0.1725],\\n [0.5765, 0.2941, 0.1765],\\n [0.6118, 0.3216, 0.1882],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]]]])'], 'masks': ['tensor([[[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]]])'], 'depth_map': ['tensor([[[[2.4958, 2.4958, 2.4958],\\n [2.4987, 2.4987, 2.4987],\\n [2.4957, 2.4957, 2.4957],\\n [2.4953, 2.4953, 2.4953],\\n [2.4919, 2.4919, 2.4919],\\n [2.4909, 2.4909, 2.4909],\\n ...,\\n [1.5901, 1.5901, 1.5901],\\n [1.5874, 1.5874, 1.5874],\\n [1.5863, 1.5863, 1.5863],\\n [1.5820, 1.5820, 1.5820],\\n [1.5686, 1.5686, 1.5686],\\n [1.5422, 1.5422, 1.5422]],\\n\\n [[2.4658, 2.4658, 2.4658],\\n [2.4890, 2.4890, 2.4890],\\n [2.5032, 2.5032, 2.5032],\\n [2.5053, 2.5053, 2.5053],\\n [2.4965, 2.4965, 2.4965],\\n [2.4967, 2.4967, 2.4967],\\n ...,\\n [1.5870, 1.5870, 1.5870],\\n [1.5851, 1.5851, 1.5851],\\n [1.5857, 1.5857, 1.5857],\\n [1.5772, 1.5772, 1.5772],\\n [1.5687, 1.5687, 1.5687],\\n [1.5472, 1.5472, 1.5472]],\\n\\n [[2.4958, 2.4958, 2.4958],\\n [2.5003, 2.5003, 2.5003],\\n [2.4991, 2.4991, 2.4991],\\n [2.4975, 2.4975, 2.4975],\\n [2.4949, 2.4949, 2.4949],\\n [2.4951, 2.4951, 2.4951],\\n ...,\\n [1.5883, 1.5883, 1.5883],\\n [1.5853, 1.5853, 1.5853],\\n [1.5835, 1.5835, 1.5835],\\n [1.5779, 1.5779, 1.5779],\\n [1.5673, 1.5673, 1.5673],\\n [1.5636, 1.5636, 1.5636]],\\n\\n [[2.5031, 2.5031, 2.5031],\\n [2.5004, 2.5004, 2.5004],\\n [2.4992, 2.4992, 2.4992],\\n [2.5021, 2.5021, 2.5021],\\n [2.4968, 2.4968, 2.4968],\\n [2.4970, 2.4970, 2.4970],\\n ...,\\n [1.5884, 1.5884, 1.5884],\\n [1.5854, 1.5854, 1.5854],\\n [1.5824, 1.5824, 1.5824],\\n [1.5769, 1.5769, 1.5769],\\n [1.5674, 1.5674, 1.5674],\\n [1.5162, 1.5162, 1.5162]],\\n\\n [[2.5026, 2.5026, 2.5026],\\n [2.4971, 2.4971, 2.4971],\\n [2.5008, 2.5008, 2.5008],\\n [2.5043, 2.5043, 2.5043],\\n [2.4984, 2.4984, 2.4984],\\n [2.4997, 2.4997, 2.4997],\\n ...,\\n [1.5883, 1.5883, 1.5883],\\n [1.5842, 1.5842, 1.5842],\\n [1.5801, 1.5801, 1.5801],\\n [1.5741, 1.5741, 1.5741],\\n [1.5633, 1.5633, 1.5633],\\n [1.5260, 1.5260, 1.5260]],\\n\\n [[2.5092, 2.5092, 2.5092],\\n [2.5013, 2.5013, 2.5013],\\n [2.5051, 2.5051, 2.5051],\\n [2.5074, 2.5074, 2.5074],\\n [2.5008, 2.5008, 2.5008],\\n [2.5023, 2.5023, 2.5023],\\n ...,\\n [1.5881, 1.5881, 1.5881],\\n [1.5837, 1.5837, 1.5837],\\n [1.5798, 1.5798, 1.5798],\\n [1.5729, 1.5729, 1.5729],\\n [1.5620, 1.5620, 1.5620],\\n [1.5321, 1.5321, 1.5321]],\\n\\n ...,\\n\\n [[1.3421, 1.3421, 1.3421],\\n [1.3531, 1.3531, 1.3531],\\n [1.3542, 1.3542, 1.3542],\\n [1.3555, 1.3555, 1.3555],\\n [1.3549, 1.3549, 1.3549],\\n [1.3547, 1.3547, 1.3547],\\n ...,\\n [1.0918, 1.0918, 1.0918],\\n [1.0921, 1.0921, 1.0921],\\n [1.0916, 1.0916, 1.0916],\\n [1.0919, 1.0919, 1.0919],\\n [1.0916, 1.0916, 1.0916],\\n [1.0954, 1.0954, 1.0954]],\\n\\n [[1.3374, 1.3374, 1.3374],\\n [1.3450, 1.3450, 1.3450],\\n [1.3525, 1.3525, 1.3525],\\n [1.3536, 1.3536, 1.3536],\\n [1.3525, 1.3525, 1.3525],\\n [1.3520, 1.3520, 1.3520],\\n ...,\\n [1.0915, 1.0915, 1.0915],\\n [1.0920, 1.0920, 1.0920],\\n [1.0915, 1.0915, 1.0915],\\n [1.0922, 1.0922, 1.0922],\\n [1.0920, 1.0920, 1.0920],\\n [1.0952, 1.0952, 1.0952]],\\n\\n [[1.3370, 1.3370, 1.3370],\\n [1.3513, 1.3513, 1.3513],\\n [1.3518, 1.3518, 1.3518],\\n [1.3521, 1.3521, 1.3521],\\n [1.3515, 1.3515, 1.3515],\\n [1.3511, 1.3511, 1.3511],\\n ...,\\n [1.0916, 1.0916, 1.0916],\\n [1.0919, 1.0919, 1.0919],\\n [1.0915, 1.0915, 1.0915],\\n [1.0921, 1.0921, 1.0921],\\n [1.0922, 1.0922, 1.0922],\\n [1.0950, 1.0950, 1.0950]],\\n\\n [[1.3365, 1.3365, 1.3365],\\n [1.3463, 1.3463, 1.3463],\\n [1.3463, 1.3463, 1.3463],\\n [1.3500, 1.3500, 1.3500],\\n [1.3474, 1.3474, 1.3474],\\n [1.3477, 1.3477, 1.3477],\\n ...,\\n [1.0904, 1.0904, 1.0904],\\n [1.0908, 1.0908, 1.0908],\\n [1.0906, 1.0906, 1.0906],\\n [1.0921, 1.0921, 1.0921],\\n [1.0923, 1.0923, 1.0923],\\n [1.0950, 1.0950, 1.0950]],\\n\\n [[1.3485, 1.3485, 1.3485],\\n [1.3365, 1.3365, 1.3365],\\n [1.3420, 1.3420, 1.3420],\\n [1.3463, 1.3463, 1.3463],\\n [1.3440, 1.3440, 1.3440],\\n [1.3455, 1.3455, 1.3455],\\n ...,\\n [1.0945, 1.0945, 1.0945],\\n [1.0944, 1.0944, 1.0944],\\n [1.0938, 1.0938, 1.0938],\\n [1.0946, 1.0946, 1.0946],\\n [1.0942, 1.0942, 1.0942],\\n [1.0964, 1.0964, 1.0964]],\\n\\n [[1.3288, 1.3288, 1.3288],\\n [1.3383, 1.3383, 1.3383],\\n [1.3171, 1.3171, 1.3171],\\n [1.3228, 1.3228, 1.3228],\\n [1.3236, 1.3236, 1.3236],\\n [1.3261, 1.3261, 1.3261],\\n ...,\\n [1.0936, 1.0936, 1.0936],\\n [1.0929, 1.0929, 1.0929],\\n [1.0925, 1.0925, 1.0925],\\n [1.0938, 1.0938, 1.0938],\\n [1.0903, 1.0903, 1.0903],\\n [1.0995, 1.0995, 1.0995]]]])'], 'intrinsics': ['tensor([[[2.7918e+03, 0.0000e+00, 6.0000e+02, 0.0000e+00],\\n [0.0000e+00, 2.7567e+03, 2.4800e+02, 0.0000e+00],\\n [0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00],\\n [0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00]]])'], 'depth_confidence': ['tensor([[[[1.0551e-04, 1.0551e-04, 1.0551e-04],\\n [1.6475e-05, 1.6475e-05, 1.6475e-05],\\n [1.4313e-05, 1.4313e-05, 1.4313e-05],\\n [7.2956e-06, 7.2956e-06, 7.2956e-06],\\n [4.7490e-06, 4.7490e-06, 4.7490e-06],\\n [4.1421e-06, 4.1421e-06, 4.1421e-06],\\n ...,\\n [1.5437e-03, 1.5437e-03, 1.5437e-03],\\n [1.5533e-03, 1.5533e-03, 1.5533e-03],\\n [1.1454e-03, 1.1454e-03, 1.1454e-03],\\n [1.3809e-03, 1.3809e-03, 1.3809e-03],\\n [2.2522e-03, 2.2522e-03, 2.2522e-03],\\n [2.3706e-03, 2.3706e-03, 2.3706e-03]],\\n\\n [[6.4539e-06, 6.4539e-06, 6.4539e-06],\\n [1.4054e-06, 1.4054e-06, 1.4054e-06],\\n [2.2109e-06, 2.2109e-06, 2.2109e-06],\\n [1.0870e-06, 1.0870e-06, 1.0870e-06],\\n [5.5613e-07, 5.5613e-07, 5.5613e-07],\\n [4.6369e-07, 4.6369e-07, 4.6369e-07],\\n ...,\\n [5.5156e-04, 5.5156e-04, 5.5156e-04],\\n [6.3771e-04, 6.3771e-04, 6.3771e-04],\\n [5.8776e-04, 5.8776e-04, 5.8776e-04],\\n [6.4638e-04, 6.4638e-04, 6.4638e-04],\\n [6.4557e-04, 6.4557e-04, 6.4557e-04],\\n [1.1326e-03, 1.1326e-03, 1.1326e-03]],\\n\\n [[9.2725e-06, 9.2725e-06, 9.2725e-06],\\n [1.9895e-06, 1.9895e-06, 1.9895e-06],\\n [1.7159e-06, 1.7159e-06, 1.7159e-06],\\n [6.3953e-07, 6.3953e-07, 6.3953e-07],\\n [2.9866e-07, 2.9866e-07, 2.9866e-07],\\n [2.2933e-07, 2.2933e-07, 2.2933e-07],\\n ...,\\n [2.5274e-04, 2.5274e-04, 2.5274e-04],\\n [3.5590e-04, 3.5590e-04, 3.5590e-04],\\n [4.8251e-04, 4.8251e-04, 4.8251e-04],\\n [5.1907e-04, 5.1907e-04, 5.1907e-04],\\n [3.0424e-04, 3.0424e-04, 3.0424e-04],\\n [6.1785e-04, 6.1785e-04, 6.1785e-04]],\\n\\n [[6.4871e-06, 6.4871e-06, 6.4871e-06],\\n [1.2672e-06, 1.2672e-06, 1.2672e-06],\\n [8.2273e-07, 8.2273e-07, 8.2273e-07],\\n [2.9979e-07, 2.9979e-07, 2.9979e-07],\\n [1.6241e-07, 1.6241e-07, 1.6241e-07],\\n [1.1570e-07, 1.1570e-07, 1.1570e-07],\\n ...,\\n [1.2716e-04, 1.2716e-04, 1.2716e-04],\\n [2.0406e-04, 2.0406e-04, 2.0406e-04],\\n [3.2673e-04, 3.2673e-04, 3.2673e-04],\\n [3.1335e-04, 3.1335e-04, 3.1335e-04],\\n [1.4675e-04, 1.4675e-04, 1.4675e-04],\\n [3.9013e-04, 3.9013e-04, 3.9013e-04]],\\n\\n [[4.2720e-06, 4.2720e-06, 4.2720e-06],\\n [8.7715e-07, 8.7715e-07, 8.7715e-07],\\n [5.0257e-07, 5.0257e-07, 5.0257e-07],\\n [2.2874e-07, 2.2874e-07, 2.2874e-07],\\n [1.3854e-07, 1.3854e-07, 1.3854e-07],\\n [9.1828e-08, 9.1828e-08, 9.1828e-08],\\n ...,\\n [1.0740e-04, 1.0740e-04, 1.0740e-04],\\n [1.6829e-04, 1.6829e-04, 1.6829e-04],\\n [2.5593e-04, 2.5593e-04, 2.5593e-04],\\n [2.3692e-04, 2.3692e-04, 2.3692e-04],\\n [1.1048e-04, 1.1048e-04, 1.1048e-04],\\n [3.4622e-04, 3.4622e-04, 3.4622e-04]],\\n\\n [[3.3996e-06, 3.3996e-06, 3.3996e-06],\\n [7.0711e-07, 7.0711e-07, 7.0711e-07],\\n [3.5078e-07, 3.5078e-07, 3.5078e-07],\\n [1.6180e-07, 1.6180e-07, 1.6180e-07],\\n [1.1467e-07, 1.1467e-07, 1.1467e-07],\\n [6.7997e-08, 6.7997e-08, 6.7997e-08],\\n ...,\\n [9.1761e-05, 9.1761e-05, 9.1761e-05],\\n [1.3695e-04, 1.3695e-04, 1.3695e-04],\\n [1.9895e-04, 1.9895e-04, 1.9895e-04],\\n [1.8880e-04, 1.8880e-04, 1.8880e-04],\\n [9.9015e-05, 9.9015e-05, 9.9015e-05],\\n [2.6708e-04, 2.6708e-04, 2.6708e-04]],\\n\\n ...,\\n\\n [[7.7251e-04, 7.7251e-04, 7.7251e-04],\\n [2.0867e-04, 2.0867e-04, 2.0867e-04],\\n [2.6423e-04, 2.6423e-04, 2.6423e-04],\\n [2.3267e-04, 2.3267e-04, 2.3267e-04],\\n [2.8509e-04, 2.8509e-04, 2.8509e-04],\\n [2.9357e-04, 2.9357e-04, 2.9357e-04],\\n ...,\\n [1.4555e-01, 1.4555e-01, 1.4555e-01],\\n [1.4624e-01, 1.4624e-01, 1.4624e-01],\\n [1.4010e-01, 1.4010e-01, 1.4010e-01],\\n [1.4272e-01, 1.4272e-01, 1.4272e-01],\\n [1.5074e-01, 1.5074e-01, 1.5074e-01],\\n [1.6939e-01, 1.6939e-01, 1.6939e-01]],\\n\\n [[9.5145e-04, 9.5145e-04, 9.5145e-04],\\n [3.4620e-04, 3.4620e-04, 3.4620e-04],\\n [3.5742e-04, 3.5742e-04, 3.5742e-04],\\n [2.4712e-04, 2.4712e-04, 2.4712e-04],\\n [2.8795e-04, 2.8795e-04, 2.8795e-04],\\n [3.1494e-04, 3.1494e-04, 3.1494e-04],\\n ...,\\n [1.5051e-01, 1.5051e-01, 1.5051e-01],\\n [1.5105e-01, 1.5105e-01, 1.5105e-01],\\n [1.4456e-01, 1.4456e-01, 1.4456e-01],\\n [1.4688e-01, 1.4688e-01, 1.4688e-01],\\n [1.5520e-01, 1.5520e-01, 1.5520e-01],\\n [1.7558e-01, 1.7558e-01, 1.7558e-01]],\\n\\n [[8.8415e-04, 8.8415e-04, 8.8415e-04],\\n [5.5222e-04, 5.5222e-04, 5.5222e-04],\\n [4.6194e-04, 4.6194e-04, 4.6194e-04],\\n [2.5930e-04, 2.5930e-04, 2.5930e-04],\\n [2.5176e-04, 2.5176e-04, 2.5176e-04],\\n [2.4765e-04, 2.4765e-04, 2.4765e-04],\\n ...,\\n [1.4975e-01, 1.4975e-01, 1.4975e-01],\\n [1.5012e-01, 1.5012e-01, 1.5012e-01],\\n [1.4397e-01, 1.4397e-01, 1.4397e-01],\\n [1.4655e-01, 1.4655e-01, 1.4655e-01],\\n [1.5703e-01, 1.5703e-01, 1.5703e-01],\\n [1.7167e-01, 1.7167e-01, 1.7167e-01]],\\n\\n [[6.0054e-04, 6.0054e-04, 6.0054e-04],\\n [5.3025e-04, 5.3025e-04, 5.3025e-04],\\n [6.2534e-04, 6.2534e-04, 6.2534e-04],\\n [4.0598e-04, 4.0598e-04, 4.0598e-04],\\n [3.5677e-04, 3.5677e-04, 3.5677e-04],\\n [3.0796e-04, 3.0796e-04, 3.0796e-04],\\n ...,\\n [1.5186e-01, 1.5186e-01, 1.5186e-01],\\n [1.5224e-01, 1.5224e-01, 1.5224e-01],\\n [1.4727e-01, 1.4727e-01, 1.4727e-01],\\n [1.5167e-01, 1.5167e-01, 1.5167e-01],\\n [1.6711e-01, 1.6711e-01, 1.6711e-01],\\n [1.6688e-01, 1.6688e-01, 1.6688e-01]],\\n\\n [[4.9502e-04, 4.9502e-04, 4.9502e-04],\\n [3.5169e-04, 3.5169e-04, 3.5169e-04],\\n [6.1043e-04, 6.1043e-04, 6.1043e-04],\\n [6.1216e-04, 6.1216e-04, 6.1216e-04],\\n [5.6385e-04, 5.6385e-04, 5.6385e-04],\\n [4.5968e-04, 4.5968e-04, 4.5968e-04],\\n ...,\\n [1.6578e-01, 1.6578e-01, 1.6578e-01],\\n [1.6612e-01, 1.6612e-01, 1.6612e-01],\\n [1.6227e-01, 1.6227e-01, 1.6227e-01],\\n [1.7337e-01, 1.7337e-01, 1.7337e-01],\\n [1.9802e-01, 1.9802e-01, 1.9802e-01],\\n [2.0230e-01, 2.0230e-01, 2.0230e-01]],\\n\\n [[3.1704e-03, 3.1704e-03, 3.1704e-03],\\n [1.3912e-03, 1.3912e-03, 1.3912e-03],\\n [3.1459e-03, 3.1459e-03, 3.1459e-03],\\n [4.1839e-03, 4.1839e-03, 4.1839e-03],\\n [3.0575e-03, 3.0575e-03, 3.0575e-03],\\n [2.2110e-03, 2.2110e-03, 2.2110e-03],\\n ...,\\n [1.5772e-01, 1.5772e-01, 1.5772e-01],\\n [1.5799e-01, 1.5799e-01, 1.5799e-01],\\n [1.5305e-01, 1.5305e-01, 1.5305e-01],\\n [1.7875e-01, 1.7875e-01, 1.7875e-01],\\n [1.9739e-01, 1.9739e-01, 1.9739e-01],\\n [1.8382e-01, 1.8382e-01, 1.8382e-01]]]])']}, 'current_outputs': ['39', '18', '29', '16', '44', '58', '43', '60', '46', '59', '36', '40', '41', '4', '24', '35'], 'timestamp': 1778324317142}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': '993762d2-1a50-4546-9b6e-00b58fee7bbf', 'node_id': '16', 'node_type': 'SAM3DBodyProcessMultiple', 'executed': ['39', '44', '43', '60', '46', '59', '36', '41', '40', '24', '35'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\internal\\\\__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\latest\\\\_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\process_multiple.py\", line 1116, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'inference_type': ['full'], 'adjust_position_from_depth': [True], 'model': [\"{'model_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody', 'ckpt_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\model.safetensors', 'mhr_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\assets\\\\\\\\mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0275, 0.0314, 0.0000],\\n [0.0745, 0.0549, 0.0000],\\n [0.1490, 0.1216, 0.0667],\\n [0.1922, 0.1451, 0.0980],\\n [0.2392, 0.1843, 0.1412],\\n [0.1608, 0.1059, 0.0627]],\\n\\n [[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0549, 0.0471, 0.0000],\\n [0.0824, 0.0667, 0.0078],\\n [0.1686, 0.1333, 0.0824],\\n [0.1961, 0.1529, 0.1059],\\n [0.2353, 0.1804, 0.1373],\\n [0.1569, 0.0902, 0.0510]],\\n\\n [[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0706, 0.0510, 0.0000],\\n [0.1059, 0.0784, 0.0275],\\n [0.1922, 0.1451, 0.0980],\\n [0.2118, 0.1569, 0.1137],\\n [0.2314, 0.1686, 0.1255],\\n [0.1373, 0.0627, 0.0275]],\\n\\n [[0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0706, 0.0431, 0.0000],\\n [0.1412, 0.0980, 0.0510],\\n [0.2078, 0.1529, 0.1098],\\n [0.2275, 0.1647, 0.1216],\\n [0.2353, 0.1608, 0.1216],\\n [0.1294, 0.0471, 0.0118]],\\n\\n [[0.0235, 0.0627, 0.0510],\\n [0.0235, 0.0627, 0.0510],\\n [0.0235, 0.0627, 0.0510],\\n [0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0157, 0.0549, 0.0392],\\n ...,\\n [0.1608, 0.1137, 0.0667],\\n [0.1882, 0.1333, 0.0902],\\n [0.2196, 0.1451, 0.1098],\\n [0.2078, 0.1255, 0.0902],\\n [0.2235, 0.1294, 0.0980],\\n [0.1451, 0.0392, 0.0118]],\\n\\n [[0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0157, 0.0549, 0.0392],\\n [0.0157, 0.0549, 0.0392],\\n ...,\\n [0.2157, 0.1608, 0.1176],\\n [0.2235, 0.1569, 0.1176],\\n [0.2392, 0.1569, 0.1216],\\n [0.2196, 0.1255, 0.0941],\\n [0.2196, 0.1176, 0.0902],\\n [0.1451, 0.0314, 0.0078]],\\n\\n ...,\\n\\n [[0.4235, 0.1961, 0.1216],\\n [0.5725, 0.3373, 0.2549],\\n [0.5412, 0.3059, 0.2078],\\n [0.5843, 0.3373, 0.2235],\\n [0.6078, 0.3412, 0.2157],\\n [0.6314, 0.3529, 0.2078],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4314, 0.1922, 0.1294],\\n [0.5216, 0.2824, 0.2118],\\n [0.5373, 0.2941, 0.2039],\\n [0.5804, 0.3216, 0.2235],\\n [0.6078, 0.3333, 0.2118],\\n [0.6431, 0.3608, 0.2157],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4275, 0.1882, 0.1255],\\n [0.5176, 0.2706, 0.2039],\\n [0.5333, 0.2824, 0.1961],\\n [0.5686, 0.3098, 0.2078],\\n [0.5961, 0.3216, 0.2000],\\n [0.6353, 0.3451, 0.2118],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4078, 0.1686, 0.1059],\\n [0.5020, 0.2549, 0.1843],\\n [0.5176, 0.2627, 0.1804],\\n [0.5529, 0.2941, 0.1961],\\n [0.5804, 0.3059, 0.1843],\\n [0.6196, 0.3294, 0.1961],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4000, 0.1608, 0.0980],\\n [0.4902, 0.2431, 0.1765],\\n [0.5059, 0.2549, 0.1686],\\n [0.5412, 0.2824, 0.1804],\\n [0.5725, 0.2980, 0.1765],\\n [0.6118, 0.3216, 0.1882],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4000, 0.1529, 0.0941],\\n [0.4588, 0.2118, 0.1451],\n... (truncated)", "hardware": {"os": "Windows-10-10.0.26200-SP0", "cpu": "Intel64 Family 6 Model 79 Stepping 1, GenuineIntel", "gpu": "NVIDIA GeForce RTX 3090"}}, "rigging": {"src": "", "title": "rigging", "status": "fail", "duration": "7.05", "log": "Capturing execution frames: rigging.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Node 3: LoadImage\n [ComfyUI] Node 3: LoadImage\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"image\": \"masked_dancing.png\"}\n [ComfyUI] Inputs: {\"image\": \"masked_dancing.png\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"10\", 2]}\n [ComfyUI] Inputs: {\"images\": [\"10\", 2]}\n [ComfyUI] Node 10: SAM3DBodyProcess\n [ComfyUI] Node 10: SAM3DBodyProcess\n [ComfyUI] Inputs: {\"bbox_threshold\": 0.8, \"inference_type\": \"full\", \"model\": [\"15\", 0], \"image\": [\"3\", 0], \"mask\": [\"3\", 1]}\n [ComfyUI] Inputs: {\"bbox_threshold\": 0.8, \"inference_type\": \"full\", \"model\": [\"15\", 0], \"image\": [\"3\", 0], \"mask\": [\"3\", 1]}\n [ComfyUI] Node 12: SAM3DBodyExportFBX\n [ComfyUI] Node 12: SAM3DBodyExportFBX\n [ComfyUI] Inputs: {\"output_filename\": \"sam3d_rigged.fbx\", \"mesh_data\": [\"10\", 0]}\n [ComfyUI] Inputs: {\"output_filename\": \"sam3d_rigged.fbx\", \"mesh_data\": [\"10\", 0]}\n [ComfyUI] Node 13: SAM3DBodyPreviewRiggedMesh\n [ComfyUI] Node 13: SAM3DBodyPreviewRiggedMesh\n [ComfyUI] Inputs: {\"fbx_output_path\": [\"12\", 0], \"preview\": \"\"}\n [ComfyUI] Inputs: {\"fbx_output_path\": [\"12\", 0], \"preview\": \"\"}\n [ComfyUI] Node 15: LoadSAM3DBodyModel\n [ComfyUI] Node 15: LoadSAM3DBodyModel\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Generated prompt_id: 15efb659-f507-4f34-87f0-42076d2d6cf6\n [ComfyUI] Generated prompt_id: 15efb659-f507-4f34-87f0-42076d2d6cf6\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] Precision: bf16\n [ComfyUI] Precision: bf16\n [ComfyUI] !!! Exception during processing !!! No module named 'roma'\n [ComfyUI] !!! Exception during processing !!! No module named 'roma'\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 535, in execute\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\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] 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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 335, in get_output_data\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\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] 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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 297, in process_inputs\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\internal\\__init__.py\", line 149, in wrapped_func\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\internal\\__init__.py\", line 149, in wrapped_func\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\latest\\_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\latest\\_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\process.py\", line 161, in execute\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\process.py\", line 161, in execute\n [ComfyUI] from .sam_3d_body import SAM3DBodyEstimator\n [ComfyUI] from .sam_3d_body import SAM3DBodyEstimator\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\__init__.py\", line 5, in <module>\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\__init__.py\", line 5, in <module>\n [ComfyUI] from .build_models import load_sam_3d_body\n [ComfyUI] from .build_models import load_sam_3d_body\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\build_models.py\", line 5, in <module>\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\build_models.py\", line 5, in <module>\n [ComfyUI] from .model import SAM3DBody\n [ComfyUI] from .model import SAM3DBody\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\model.py\", line 12, in <module>\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\model.py\", line 12, in <module>\n [ComfyUI] import roma\n [ComfyUI] import roma\n [ComfyUI] ModuleNotFoundError: No module named 'roma'\n [ComfyUI] ModuleNotFoundError: No module named 'roma'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Prompt executed in 0.24 seconds\n [ComfyUI] Prompt executed in 0.24 seconds\n Execution complete (t=0.5s)\n Execution error: {'prompt_id': 'e203f09b-1452-4fbf-a986-ad40c75a22c6', 'node_id': '10', 'node_type': 'SAM3DBodyProcess', 'executed': ['3', '15'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\internal\\\\__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\latest\\\\_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\process.py\", line 161, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'bbox_threshold': [0.8], 'inference_type': ['full'], 'model': [\"{'model_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody', 'ckpt_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\model.safetensors', 'mhr_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\assets\\\\\\\\mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8745, 0.8078, 0.7373],\\n [0.8745, 0.8078, 0.7373],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6235, 0.3412, 0.2824],\\n [0.6196, 0.3569, 0.2941],\\n [0.6196, 0.3608, 0.2980]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6196, 0.3373, 0.2784],\\n [0.6118, 0.3490, 0.2863],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3451, 0.2863],\\n [0.6118, 0.3490, 0.2863]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8902, 0.8235, 0.7529],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2667],\\n [0.6275, 0.3294, 0.2745],\\n [0.6157, 0.3333, 0.2745],\\n [0.6157, 0.3451, 0.2863],\\n [0.6157, 0.3529, 0.2902]],\\n\\n ...,\\n\\n [[0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2078, 0.2275],\\n [0.2941, 0.2039, 0.2275],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4157, 0.3490, 0.3216],\\n [0.4118, 0.3451, 0.3176],\\n [0.4078, 0.3412, 0.3137],\\n [0.4118, 0.3451, 0.3176],\\n [0.3882, 0.3216, 0.2941],\\n [0.3843, 0.3176, 0.2902]],\\n\\n [[0.2784, 0.2000, 0.2078],\\n [0.2784, 0.2000, 0.2078],\\n [0.2824, 0.2000, 0.2196],\\n [0.2824, 0.2000, 0.2196],\\n [0.2902, 0.2000, 0.2235],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4588, 0.3922, 0.3647],\\n [0.4706, 0.4039, 0.3765],\\n [0.4706, 0.4039, 0.3765],\\n [0.4549, 0.3882, 0.3608],\\n [0.4275, 0.3608, 0.3333],\\n [0.4235, 0.3569, 0.3294]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2745, 0.1961, 0.2039],\\n [0.2745, 0.1961, 0.2039],\\n [0.2824, 0.1961, 0.2078],\\n [0.2863, 0.2000, 0.2118],\\n ...,\\n [0.4627, 0.3882, 0.3647],\\n [0.4706, 0.3961, 0.3725],\\n [0.4627, 0.3961, 0.3686],\\n [0.4549, 0.3882, 0.3608],\\n [0.4353, 0.3686, 0.3412],\\n [0.4431, 0.3765, 0.3490]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2667, 0.1882, 0.1961],\\n [0.2667, 0.1882, 0.1961],\\n [0.2745, 0.1882, 0.2000],\\n [0.2784, 0.1922, 0.2039],\\n ...,\\n [0.4471, 0.3725, 0.3490],\\n [0.4627, 0.3882, 0.3647],\\n [0.4627, 0.3961, 0.3686],\\n [0.4588, 0.3922, 0.3647],\\n [0.4588, 0.3922, 0.3647],\\n [0.4667, 0.4000, 0.3725]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2784, 0.1961, 0.2157],\\n [0.2784, 0.1922, 0.2039],\\n [0.2745, 0.1882, 0.2000],\\n [0.2745, 0.1882, 0.2000],\\n [0.2824, 0.1961, 0.2078],\\n ...,\\n [0.4431, 0.3686, 0.3529],\\n [0.4588, 0.3843, 0.3686],\\n [0.4667, 0.3922, 0.3765],\\n [0.4667, 0.3922, 0.3765],\\n [0.4392, 0.3647, 0.3490],\\n [0.4431, 0.3686, 0.3529]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2039, 0.2157],\\n [0.2863, 0.2000, 0.2118],\\n [0.2863, 0.2000, 0.2118],\\n [0.2902, 0.2039, 0.2157],\\n ...,\\n [0.4078, 0.3333, 0.3176],\\n [0.4235, 0.3490, 0.3333],\\n [0.4275, 0.3529, 0.3373],\\n [0.4196, 0.3451, 0.3294],\\n [0.4157, 0.3412, 0.3255],\\n [0.4196, 0.3451, 0.3294]]]])'], 'mask': ['tensor([[[1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n ...,\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.]]])']}, 'current_outputs': ['15', '13', '10', '3', '4', '12'], 'timestamp': 1778324324717}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'e203f09b-1452-4fbf-a986-ad40c75a22c6', 'node_id': '10', 'node_type': 'SAM3DBodyProcess', 'executed': ['3', '15'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\internal\\\\__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\latest\\\\_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\process.py\", line 161, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'bbox_threshold': [0.8], 'inference_type': ['full'], 'model': [\"{'model_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody', 'ckpt_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\model.safetensors', 'mhr_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\assets\\\\\\\\mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8745, 0.8078, 0.7373],\\n [0.8745, 0.8078, 0.7373],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6235, 0.3412, 0.2824],\\n [0.6196, 0.3569, 0.2941],\\n [0.6196, 0.3608, 0.2980]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6196, 0.3373, 0.2784],\\n [0.6118, 0.3490, 0.2863],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3451, 0.2863],\\n [0.6118, 0.3490, 0.2863]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8902, 0.8235, 0.7529],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2667],\\n [0.6275, 0.3294, 0.2745],\\n [0.6157, 0.3333, 0.2745],\\n [0.6157, 0.3451, 0.2863],\\n [0.6157, 0.3529, 0.2902]],\\n\\n ...,\\n\\n [[0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2078, 0.2275],\\n [0.2941, 0.2039, 0.2275],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4157, 0.3490, 0.3216],\\n [0.4118, 0.3451, 0.3176],\\n [0.4078, 0.3412, 0.3137],\\n [0.4118, 0.3451, 0.3176],\\n [0.3882, 0.3216, 0.2941],\\n [0.3843, 0.3176, 0.2902]],\\n\\n [[0.2784, 0.2000, 0.2078],\\n [0.2784, 0.2000, 0.2078],\\n [0.2824, 0.2000, 0.2196],\\n [0.2824, 0.2000, 0.2196],\\n [0.2902, 0.2000, 0.2235],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4588, 0.3922, 0.3647],\\n [0.4706, 0.4039, 0.3765],\\n [0.4706, 0.4039, 0.3765],\\n [0.4549, 0.3882, 0.3608],\\n [0.4275, 0.3608, 0.3333],\\n [0.4235, 0.3569, 0.3294]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2745, 0.1961, 0.2039],\\n [0.2745, 0.1961, 0.2039],\\n [0.2824, 0.1961, 0.2078],\\n [0.2863, 0.2000, 0.2118],\\n ...,\\n [0.4627, 0.3882, 0.3647],\\n [0.4706, 0.3961, 0.3725],\\n [0.4627, 0.3961, 0.3686],\\n [0.4549, 0.3882, 0.3608],\\n [0.4353, 0.3686, 0.3412],\\n [0.4431, 0.3765, 0.3490]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2667, 0.1882, 0.1961],\\n [0.2667, 0.1882, 0.1961],\\n [0.2745, 0.1882, 0.2000],\\n [0.2784, 0.1922, 0.2039],\\n ...,\\n [0.4471, 0.3725, 0.3490],\\n [0.4627, 0.3882, 0.3647],\\n [0.4627, 0.3961, 0.3686],\\n [0.4588, 0.3922, 0.3647],\\n [0.4588, 0.3922, 0.3647],\\n [0.4667, 0.4000, 0.3725]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2784, 0.1961, 0.2157],\\n [0.2784, 0.1922, 0.2039],\\n [0.2745, 0.1882, 0.2000],\\n [0.2745, 0.1882, 0.2000],\\n [0.2824, 0.1961, 0.2078],\\n ...,\\n [0.4431, 0.3686, 0.3529],\\n [0.4588, 0.3843, 0.3686],\\n [0.4667, 0.3922, 0.3765],\\n [0.4667, 0.3922, 0.3765],\\n [0.4392, 0.3647, 0.3490],\\n [0.4431, 0.3686, 0.3529]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2039, 0.2157],\\n [0.2863, 0.2000, 0.2118],\\n [0.2863, 0.2000, 0.2118],\\n [0.2902, 0.2039, 0.2157],\\n ...,\\n [0.4078, 0.3333, 0.3176],\\n [0.4235, 0.3490, 0.3333],\\n [0.4275, 0.3529, 0.3373],\\n [0.4196, 0.3451, 0.3294],\\n [0.4157, 0.3412, 0.3255],\\n [0.4196, 0.3451, 0.3294]]]])'], 'mask': ['tensor([[[1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n ...,\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.]]])']}, 'current_outputs': ['15', '13', '10', '3', '4', '12'], 'timestamp': 1778324324717}\n Details: Workflow: C:\\ComfyUI-SAM3DBody\\workflows\\rigging.json\nNode error: SAM3DBodyProcess", "hardware": {"os": "Windows-10-10.0.26200-SP0", "cpu": "Intel64 Family 6 Model 79 Stepping 1, GenuineIntel", "gpu": "NVIDIA GeForce RTX 3090"}}, "workflow": {"src": "", "title": "workflow", "status": "fail", "duration": "6.71", "log": "Capturing execution frames: workflow.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Prompt has 6 nodes\n Queuing workflow for execution...\n [ComfyUI] Node 3: LoadImage\n [ComfyUI] Node 3: LoadImage\n [ComfyUI] Inputs: {\"image\": \"masked_dancing.png\"}\n [ComfyUI] Inputs: {\"image\": \"masked_dancing.png\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"13\", 2]}\n [ComfyUI] Inputs: {\"images\": [\"13\", 2]}\n [ComfyUI] Node 10: Preview3D\n [ComfyUI] Node 10: Preview3D\n [ComfyUI] Inputs: {\"model_file\": [\"15\", 0], \"image\": \"\"}\n [ComfyUI] Inputs: {\"model_file\": [\"15\", 0], \"image\": \"\"}\n [ComfyUI] Node 12: LoadSAM3DBodyModel\n [ComfyUI] Node 12: LoadSAM3DBodyModel\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Node 13: SAM3DBodyProcess\n [ComfyUI] Node 13: SAM3DBodyProcess\n [ComfyUI] Inputs: {\"bbox_threshold\": 0.8, \"inference_type\": \"full\", \"model\": [\"12\", 0], \"image\": [\"3\", 0], \"mask\": [\"3\", 1]}\n [ComfyUI] Inputs: {\"bbox_threshold\": 0.8, \"inference_type\": \"full\", \"model\": [\"12\", 0], \"image\": [\"3\", 0], \"mask\": [\"3\", 1]}\n [ComfyUI] Node 15: SAM3DBodyExportMesh\n [ComfyUI] Node 15: SAM3DBodyExportMesh\n [ComfyUI] Inputs: {\"filename\": \"output_mesh.stl\", \"mesh_data\": [\"13\", 0]}\n [ComfyUI] Inputs: {\"filename\": \"output_mesh.stl\", \"mesh_data\": [\"13\", 0]}\n [ComfyUI] Generated prompt_id: 1732cff7-20bd-4d81-b743-239dbacac059\n [ComfyUI] Generated prompt_id: 1732cff7-20bd-4d81-b743-239dbacac059\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] Precision: bf16\n [ComfyUI] Precision: bf16\n [ComfyUI] !!! Exception during processing !!! No module named 'roma'\n [ComfyUI] !!! Exception during processing !!! No module named 'roma'\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 535, in execute\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\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] 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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 335, in get_output_data\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\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] 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] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 297, in process_inputs\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\internal\\__init__.py\", line 149, in wrapped_func\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\internal\\__init__.py\", line 149, in wrapped_func\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\latest\\_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\comfy_api\\latest\\_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\process.py\", line 161, in execute\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\process.py\", line 161, in execute\n [ComfyUI] from .sam_3d_body import SAM3DBodyEstimator\n [ComfyUI] from .sam_3d_body import SAM3DBodyEstimator\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\__init__.py\", line 5, in <module>\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\__init__.py\", line 5, in <module>\n [ComfyUI] from .build_models import load_sam_3d_body\n [ComfyUI] from .build_models import load_sam_3d_body\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\build_models.py\", line 5, in <module>\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\build_models.py\", line 5, in <module>\n [ComfyUI] from .model import SAM3DBody\n [ComfyUI] from .model import SAM3DBody\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\model.py\", line 12, in <module>\n [ComfyUI] File \"C:\\workspaces\\SAM3DBody-1252\\ComfyUI\\custom_nodes\\ComfyUI-SAM3DBody\\nodes\\sam_3d_body\\model.py\", line 12, in <module>\n [ComfyUI] import roma\n [ComfyUI] import roma\n [ComfyUI] ModuleNotFoundError: No module named 'roma'\n [ComfyUI] ModuleNotFoundError: No module named 'roma'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Prompt executed in 0.26 seconds\n [ComfyUI] Prompt executed in 0.26 seconds\n Execution complete (t=0.5s)\n Execution error: {'prompt_id': 'caf6ed6f-acb2-4dd7-9c98-fabfea6b7796', 'node_id': '13', 'node_type': 'SAM3DBodyProcess', 'executed': ['3', '12'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\internal\\\\__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\latest\\\\_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\process.py\", line 161, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'bbox_threshold': [0.8], 'inference_type': ['full'], 'model': [\"{'model_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody', 'ckpt_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\model.safetensors', 'mhr_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\assets\\\\\\\\mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8745, 0.8078, 0.7373],\\n [0.8745, 0.8078, 0.7373],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6235, 0.3412, 0.2824],\\n [0.6196, 0.3569, 0.2941],\\n [0.6196, 0.3608, 0.2980]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6196, 0.3373, 0.2784],\\n [0.6118, 0.3490, 0.2863],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3451, 0.2863],\\n [0.6118, 0.3490, 0.2863]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8902, 0.8235, 0.7529],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2667],\\n [0.6275, 0.3294, 0.2745],\\n [0.6157, 0.3333, 0.2745],\\n [0.6157, 0.3451, 0.2863],\\n [0.6157, 0.3529, 0.2902]],\\n\\n ...,\\n\\n [[0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2078, 0.2275],\\n [0.2941, 0.2039, 0.2275],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4157, 0.3490, 0.3216],\\n [0.4118, 0.3451, 0.3176],\\n [0.4078, 0.3412, 0.3137],\\n [0.4118, 0.3451, 0.3176],\\n [0.3882, 0.3216, 0.2941],\\n [0.3843, 0.3176, 0.2902]],\\n\\n [[0.2784, 0.2000, 0.2078],\\n [0.2784, 0.2000, 0.2078],\\n [0.2824, 0.2000, 0.2196],\\n [0.2824, 0.2000, 0.2196],\\n [0.2902, 0.2000, 0.2235],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4588, 0.3922, 0.3647],\\n [0.4706, 0.4039, 0.3765],\\n [0.4706, 0.4039, 0.3765],\\n [0.4549, 0.3882, 0.3608],\\n [0.4275, 0.3608, 0.3333],\\n [0.4235, 0.3569, 0.3294]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2745, 0.1961, 0.2039],\\n [0.2745, 0.1961, 0.2039],\\n [0.2824, 0.1961, 0.2078],\\n [0.2863, 0.2000, 0.2118],\\n ...,\\n [0.4627, 0.3882, 0.3647],\\n [0.4706, 0.3961, 0.3725],\\n [0.4627, 0.3961, 0.3686],\\n [0.4549, 0.3882, 0.3608],\\n [0.4353, 0.3686, 0.3412],\\n [0.4431, 0.3765, 0.3490]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2667, 0.1882, 0.1961],\\n [0.2667, 0.1882, 0.1961],\\n [0.2745, 0.1882, 0.2000],\\n [0.2784, 0.1922, 0.2039],\\n ...,\\n [0.4471, 0.3725, 0.3490],\\n [0.4627, 0.3882, 0.3647],\\n [0.4627, 0.3961, 0.3686],\\n [0.4588, 0.3922, 0.3647],\\n [0.4588, 0.3922, 0.3647],\\n [0.4667, 0.4000, 0.3725]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2784, 0.1961, 0.2157],\\n [0.2784, 0.1922, 0.2039],\\n [0.2745, 0.1882, 0.2000],\\n [0.2745, 0.1882, 0.2000],\\n [0.2824, 0.1961, 0.2078],\\n ...,\\n [0.4431, 0.3686, 0.3529],\\n [0.4588, 0.3843, 0.3686],\\n [0.4667, 0.3922, 0.3765],\\n [0.4667, 0.3922, 0.3765],\\n [0.4392, 0.3647, 0.3490],\\n [0.4431, 0.3686, 0.3529]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2039, 0.2157],\\n [0.2863, 0.2000, 0.2118],\\n [0.2863, 0.2000, 0.2118],\\n [0.2902, 0.2039, 0.2157],\\n ...,\\n [0.4078, 0.3333, 0.3176],\\n [0.4235, 0.3490, 0.3333],\\n [0.4275, 0.3529, 0.3373],\\n [0.4196, 0.3451, 0.3294],\\n [0.4157, 0.3412, 0.3255],\\n [0.4196, 0.3451, 0.3294]]]])'], 'mask': ['tensor([[[1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n ...,\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.]]])']}, 'current_outputs': ['15', '13', '10', '3', '4', '12'], 'timestamp': 1778324331687}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'caf6ed6f-acb2-4dd7-9c98-fabfea6b7796', 'node_id': '13', 'node_type': 'SAM3DBodyProcess', 'executed': ['3', '12'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\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 \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\internal\\\\__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\comfy_api\\\\latest\\\\_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\process.py\", line 161, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"C:\\\\workspaces\\\\SAM3DBody-1252\\\\ComfyUI\\\\custom_nodes\\\\ComfyUI-SAM3DBody\\\\nodes\\\\sam_3d_body\\\\model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'bbox_threshold': [0.8], 'inference_type': ['full'], 'model': [\"{'model_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody', 'ckpt_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\model.safetensors', 'mhr_path': 'C:\\\\\\\\workspaces\\\\\\\\SAM3DBody-1252\\\\\\\\ComfyUI\\\\\\\\models\\\\\\\\sam3dbody\\\\\\\\assets\\\\\\\\mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8745, 0.8078, 0.7373],\\n [0.8745, 0.8078, 0.7373],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6235, 0.3412, 0.2824],\\n [0.6196, 0.3569, 0.2941],\\n [0.6196, 0.3608, 0.2980]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6196, 0.3373, 0.2784],\\n [0.6118, 0.3490, 0.2863],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3451, 0.2863],\\n [0.6118, 0.3490, 0.2863]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8902, 0.8235, 0.7529],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2667],\\n [0.6275, 0.3294, 0.2745],\\n [0.6157, 0.3333, 0.2745],\\n [0.6157, 0.3451, 0.2863],\\n [0.6157, 0.3529, 0.2902]],\\n\\n ...,\\n\\n [[0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2078, 0.2275],\\n [0.2941, 0.2039, 0.2275],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4157, 0.3490, 0.3216],\\n [0.4118, 0.3451, 0.3176],\\n [0.4078, 0.3412, 0.3137],\\n [0.4118, 0.3451, 0.3176],\\n [0.3882, 0.3216, 0.2941],\\n [0.3843, 0.3176, 0.2902]],\\n\\n [[0.2784, 0.2000, 0.2078],\\n [0.2784, 0.2000, 0.2078],\\n [0.2824, 0.2000, 0.2196],\\n [0.2824, 0.2000, 0.2196],\\n [0.2902, 0.2000, 0.2235],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4588, 0.3922, 0.3647],\\n [0.4706, 0.4039, 0.3765],\\n [0.4706, 0.4039, 0.3765],\\n [0.4549, 0.3882, 0.3608],\\n [0.4275, 0.3608, 0.3333],\\n [0.4235, 0.3569, 0.3294]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2745, 0.1961, 0.2039],\\n [0.2745, 0.1961, 0.2039],\\n [0.2824, 0.1961, 0.2078],\\n [0.2863, 0.2000, 0.2118],\\n ...,\\n [0.4627, 0.3882, 0.3647],\\n [0.4706, 0.3961, 0.3725],\\n [0.4627, 0.3961, 0.3686],\\n [0.4549, 0.3882, 0.3608],\\n [0.4353, 0.3686, 0.3412],\\n [0.4431, 0.3765, 0.3490]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2667, 0.1882, 0.1961],\\n [0.2667, 0.1882, 0.1961],\\n [0.2745, 0.1882, 0.2000],\\n [0.2784, 0.1922, 0.2039],\\n ...,\\n [0.4471, 0.3725, 0.3490],\\n [0.4627, 0.3882, 0.3647],\\n [0.4627, 0.3961, 0.3686],\\n [0.4588, 0.3922, 0.3647],\\n [0.4588, 0.3922, 0.3647],\\n [0.4667, 0.4000, 0.3725]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2784, 0.1961, 0.2157],\\n [0.2784, 0.1922, 0.2039],\\n [0.2745, 0.1882, 0.2000],\\n [0.2745, 0.1882, 0.2000],\\n [0.2824, 0.1961, 0.2078],\\n ...,\\n [0.4431, 0.3686, 0.3529],\\n [0.4588, 0.3843, 0.3686],\\n [0.4667, 0.3922, 0.3765],\\n [0.4667, 0.3922, 0.3765],\\n [0.4392, 0.3647, 0.3490],\\n [0.4431, 0.3686, 0.3529]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2039, 0.2157],\\n [0.2863, 0.2000, 0.2118],\\n [0.2863, 0.2000, 0.2118],\\n [0.2902, 0.2039, 0.2157],\\n ...,\\n [0.4078, 0.3333, 0.3176],\\n [0.4235, 0.3490, 0.3333],\\n [0.4275, 0.3529, 0.3373],\\n [0.4196, 0.3451, 0.3294],\\n [0.4157, 0.3412, 0.3255],\\n [0.4196, 0.3451, 0.3294]]]])'], 'mask': ['tensor([[[1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n ...,\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.]]])']}, 'current_outputs': ['15', '13', '10', '3', '4', '12'], 'timestamp': 1778324331687}\n Details: Workflow: C:\\ComfyUI-SAM3DBody\\workflows\\workflow.json\nNode error: SAM3DBodyProcess", "hardware": {"os": "Windows-10-10.0.26200-SP0", "cpu": "Intel64 Family 6 Model 79 Stepping 1, GenuineIntel", "gpu": "NVIDIA GeForce RTX 3090"}}};
|
|
const workflowNames = Object.keys(workflowData);
|
|
const videoData = {};
|
|
|
|
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;
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const canvas = document.getElementById('resource-canvas');
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const ctx = canvas.getContext('2d');
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ctx.setTransform(dpr, 0, 0, dpr, 0, 0);
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ctx.clearRect(0, 0, w, h);
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// Grid lines
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ctx.strokeStyle = '#1c2d44';
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ctx.lineWidth = 0.5;
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for (let i = 1; i < 4; i++) {
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const y = padding.top + (graphH * i / 4);
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ctx.beginPath();
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ctx.moveTo(padding.left, y);
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ctx.lineTo(w - padding.right, y);
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ctx.stroke();
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}
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// Axes
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ctx.strokeStyle = '#243656';
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ctx.lineWidth = 1;
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ctx.beginPath();
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ctx.moveTo(padding.left, padding.top);
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ctx.lineTo(padding.left, h - padding.bottom);
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ctx.lineTo(w - padding.right, h - padding.bottom);
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ctx.lineTo(w - padding.right, padding.top);
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ctx.stroke();
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// Left axis: RAM
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ctx.fillStyle = '#3fb950';
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ctx.font = '9px sans-serif';
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ctx.textAlign = 'right';
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const ramMax = Math.ceil(maxRam * 10) / 10;
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ctx.fillText(ramMax.toFixed(1) + ' GB', padding.left - 3, padding.top + 4);
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ctx.fillText('0', padding.left - 3, h - padding.bottom + 4);
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// Right axis: VRAM (if present)
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if (hasVram) {
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ctx.fillStyle = '#d29922';
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ctx.textAlign = 'left';
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const vramMax = Math.ceil(maxVram * 10) / 10;
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ctx.fillText(vramMax.toFixed(1) + ' GB', w - padding.right + 3, padding.top + 4);
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ctx.fillText('0', w - padding.right + 3, h - padding.bottom + 4);
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}
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// Time labels
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ctx.fillStyle = '#4a6282';
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ctx.textAlign = 'center';
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ctx.fillText('0s', padding.left, h - padding.bottom + 12);
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ctx.fillText(maxTime.toFixed(0) + 's', w - padding.right, h - padding.bottom + 12);
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function drawLine(values, maxVal, color) {
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if (values.every(v => v === null || isNaN(v))) return;
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ctx.strokeStyle = color;
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ctx.lineWidth = 1.5;
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ctx.beginPath();
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let started = false;
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data.forEach((d, i) => {
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const val = values[i];
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if (val === null || isNaN(val)) return;
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const x = padding.left + (d.t / maxTime) * graphW;
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const y = padding.top + (1 - val / maxVal) * graphH;
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if (!started) { ctx.moveTo(x, y); started = true; }
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else { ctx.lineTo(x, y); }
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});
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ctx.stroke();
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}
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drawLine(data.map(d => d.ram), ramMax, '#3fb950');
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if (hasVram) {
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drawLine(data.map(d => d.vram), Math.ceil(maxVram * 10) / 10, '#d29922');
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}
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|
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// Hover crosshair
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if (hoverX !== undefined && hoverX >= padding.left && hoverX <= w - padding.right) {
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const timeAtCursor = ((hoverX - padding.left) / graphW) * maxTime;
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let closest = data[0], closestDist = Infinity;
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for (const d of data) {
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const dist = Math.abs(d.t - timeAtCursor);
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if (dist < closestDist) { closestDist = dist; closest = d; }
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}
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const snapX = padding.left + (closest.t / maxTime) * graphW;
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|
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// Vertical line
|
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ctx.strokeStyle = 'rgba(230,237,243,0.2)';
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|
ctx.lineWidth = 1;
|
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ctx.beginPath();
|
|
ctx.moveTo(snapX, padding.top);
|
|
ctx.lineTo(snapX, h - padding.bottom);
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|
ctx.stroke();
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|
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// Readout
|
|
ctx.font = '10px sans-serif';
|
|
ctx.textAlign = 'left';
|
|
const readoutX = snapX + 6;
|
|
let readoutY = padding.top + 14;
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|
|
|
ctx.fillStyle = '#8ba3c1';
|
|
ctx.fillText(closest.t.toFixed(1) + 's', readoutX, readoutY);
|
|
readoutY += 13;
|
|
|
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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); }
|
|
}
|
|
}
|
|
|
|
document.onkeydown = (e) => {
|
|
if (['Escape', 'ArrowLeft', 'ArrowRight'].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>
|