1644 lines
216 KiB
HTML
1644 lines
216 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-SAM3 - 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;
|
|
border: 1px solid #243656;
|
|
border-radius: 8px;
|
|
margin-top: 1rem;
|
|
}
|
|
|
|
.lightbox-title {
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font-size: 1rem;
|
|
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 {
|
|
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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|
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.resource-legend .ram { background: #3fb950; }
|
|
.resource-legend .gpu { background: #d29922; }
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|
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/* Video Player */
|
|
.video-player {
|
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display: none;
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margin-top: 1rem;
|
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background: #162033;
|
|
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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|
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.video-controls {
|
|
display: flex;
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align-items: center;
|
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gap: 1rem;
|
|
margin-top: 0.5rem;
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|
}
|
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|
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.video-play-btn {
|
|
background: #58a6ff;
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color: #fff;
|
|
border: none;
|
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padding: 0.4rem 1rem;
|
|
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;
|
|
}
|
|
|
|
.video-frame-counter {
|
|
color: #8ba3c1;
|
|
font-size: 0.8rem;
|
|
}
|
|
|
|
.video-slider-container {
|
|
padding: 15px 0;
|
|
}
|
|
|
|
/* noUiSlider customization */
|
|
#video-slider {
|
|
height: 6px;
|
|
background: #1c2d44;
|
|
border: none;
|
|
box-shadow: none;
|
|
}
|
|
|
|
#video-slider .noUi-connect {
|
|
background: #58a6ff;
|
|
}
|
|
|
|
#video-slider .noUi-handle {
|
|
width: 16px;
|
|
height: 16px;
|
|
background: #58a6ff;
|
|
border: none;
|
|
border-radius: 50%;
|
|
box-shadow: none;
|
|
top: -5px;
|
|
right: -8px;
|
|
cursor: pointer;
|
|
}
|
|
|
|
#video-slider .noUi-handle:before,
|
|
#video-slider .noUi-handle:after {
|
|
display: none;
|
|
}
|
|
|
|
/* Pips (tick marks) */
|
|
.noUi-pips {
|
|
color: #4a6282;
|
|
}
|
|
|
|
.noUi-marker {
|
|
background: #243656;
|
|
width: 2px;
|
|
}
|
|
|
|
.noUi-marker-large {
|
|
height: 12px;
|
|
}
|
|
|
|
.noUi-value {
|
|
display: none;
|
|
}
|
|
|
|
/* Models Section */
|
|
.models-section {
|
|
margin-top: 2rem;
|
|
margin-bottom: 2rem;
|
|
}
|
|
|
|
.models-total {
|
|
font-size: 0.8rem;
|
|
color: #8ba3c1;
|
|
}
|
|
|
|
.models-folder {
|
|
background: #162033;
|
|
border: 1px solid #243656;
|
|
border-radius: 8px;
|
|
margin-bottom: 0.5rem;
|
|
overflow: hidden;
|
|
}
|
|
|
|
.models-folder-header {
|
|
display: flex;
|
|
justify-content: space-between;
|
|
align-items: center;
|
|
padding: 0.75rem 1rem;
|
|
cursor: pointer;
|
|
user-select: none;
|
|
list-style: none;
|
|
}
|
|
|
|
.models-folder-header::-webkit-details-marker {
|
|
display: none;
|
|
}
|
|
|
|
.models-folder-header::before {
|
|
content: '\25B6';
|
|
font-size: 0.6rem;
|
|
color: #4a6282;
|
|
margin-right: 0.5rem;
|
|
transition: transform 0.15s;
|
|
}
|
|
|
|
.models-folder[open] > .models-folder-header::before {
|
|
transform: rotate(90deg);
|
|
}
|
|
|
|
.models-folder-name {
|
|
font-family: 'SFMono-Regular', 'Menlo', 'Monaco', monospace;
|
|
font-size: 0.85rem;
|
|
font-weight: 600;
|
|
color: #58a6ff;
|
|
}
|
|
|
|
.models-folder-meta {
|
|
display: flex;
|
|
align-items: center;
|
|
gap: 0.75rem;
|
|
}
|
|
|
|
.models-folder-size {
|
|
font-size: 0.8rem;
|
|
font-weight: 600;
|
|
color: #8ba3c1;
|
|
}
|
|
|
|
.models-source-link {
|
|
font-size: 0.75rem;
|
|
color: #3fb950;
|
|
text-decoration: none;
|
|
padding: 0.15rem 0.5rem;
|
|
background: rgba(63, 185, 80, 0.1);
|
|
border: 1px solid rgba(63, 185, 80, 0.2);
|
|
border-radius: 2rem;
|
|
}
|
|
|
|
.models-source-link:hover {
|
|
background: rgba(63, 185, 80, 0.2);
|
|
text-decoration: none;
|
|
}
|
|
|
|
.models-file-list {
|
|
border-top: 1px solid #243656;
|
|
padding: 0.25rem 0;
|
|
}
|
|
|
|
.models-file {
|
|
display: flex;
|
|
justify-content: space-between;
|
|
align-items: center;
|
|
padding: 0.35rem 1rem 0.35rem 2rem;
|
|
font-size: 0.8rem;
|
|
}
|
|
|
|
.models-file:hover {
|
|
background: rgba(88, 166, 255, 0.05);
|
|
}
|
|
|
|
.models-file-path {
|
|
font-family: 'SFMono-Regular', 'Menlo', 'Monaco', monospace;
|
|
color: #8ba3c1;
|
|
word-break: break-all;
|
|
}
|
|
|
|
.models-file-size {
|
|
color: #4a6282;
|
|
white-space: nowrap;
|
|
margin-left: 1rem;
|
|
flex-shrink: 0;
|
|
}
|
|
|
|
/* Footer */
|
|
footer {
|
|
text-align: center;
|
|
padding: 2.5rem;
|
|
color: #4a6282;
|
|
font-size: 0.8rem;
|
|
}
|
|
|
|
footer a {
|
|
color: #58a6ff;
|
|
text-decoration: none;
|
|
}
|
|
|
|
footer a:hover {
|
|
text-decoration: underline;
|
|
}
|
|
|
|
/* Responsive */
|
|
@media (max-width: 600px) {
|
|
.workflow-grid {
|
|
grid-template-columns: 1fr !important;
|
|
}
|
|
|
|
.workflow-grid.view-list .workflow-card {
|
|
grid-template-columns: 1fr;
|
|
}
|
|
|
|
.workflow-grid.view-list .workflow-screenshot {
|
|
width: 100%;
|
|
height: auto;
|
|
aspect-ratio: 16/10;
|
|
}
|
|
|
|
.stats {
|
|
flex-direction: column;
|
|
align-items: flex-start;
|
|
}
|
|
|
|
.section-header {
|
|
flex-direction: column;
|
|
align-items: flex-start;
|
|
gap: 0.5rem;
|
|
}
|
|
|
|
.container {
|
|
padding: 1rem;
|
|
}
|
|
}
|
|
</style>
|
|
<link href="https://cdn.jsdelivr.net/npm/nouislider@15/dist/nouislider.min.css" rel="stylesheet">
|
|
<script src="https://cdn.jsdelivr.net/npm/nouislider@15/dist/nouislider.min.js"></script>
|
|
</head>
|
|
<body>
|
|
<header>
|
|
<h1><a href="https://github.com/PozzettiAndrea/PozzettiAndrea/ComfyUI-SAM3">PozzettiAndrea/ComfyUI-SAM3</a> Test Results</h1>
|
|
<div class="meta-chips">
|
|
<span class="meta-chip"><svg viewBox="0 0 16 16"><path d="M8 0a8 8 0 110 16A8 8 0 018 0zm.5 4.5a.5.5 0 00-1 0v3.793L5.854 9.854a.5.5 0 10.708.708l1.853-1.854a.5.5 0 00.085-.094V4.5z"/></svg> 2026-05-13 08:00 UTC</span> <span class="meta-chip"><svg viewBox="0 0 16 16"><path d="M2.5 4a.5.5 0 100 1 .5.5 0 000-1zM4 4.5a.5.5 0 01.5-.5h7a.5.5 0 010 1h-7a.5.5 0 01-.5-.5zM2.5 7a.5.5 0 100 1 .5.5 0 000-1zM4 7.5a.5.5 0 01.5-.5h7a.5.5 0 010 1h-7A.5.5 0 014 7.5zM2.5 10a.5.5 0 100 1 .5.5 0 000-1zM4 10.5a.5.5 0 01.5-.5h7a.5.5 0 010 1h-7a.5.5 0 01-.5-.5z"/></svg> Linux-6.17.0-1010-azure-x86_64-with-glibc2.39</span> <span class="meta-chip"><svg viewBox="0 0 16 16"><path d="M5 0a.5.5 0 01.5.5V2h1V.5a.5.5 0 011 0V2h1V.5a.5.5 0 011 0V2h.5A2.5 2.5 0 0112.5 4.5H14v1h-1.5v1H14v1h-1.5v1H14v1h-1.5A2.5 2.5 0 0110 12h-.5v1.5a.5.5 0 01-1 0V12h-1v1.5a.5.5 0 01-1 0V12H6v1.5a.5.5 0 01-1 0V12h-.5A2.5 2.5 0 012 9.5H.5v-1H2v-1H.5v-1H2v-1H.5v-1H2A2.5 2.5 0 014.5 2V.5A.5.5 0 015 0zm-.5 4A1.5 1.5 0 003 5.5v4A1.5 1.5 0 004.5 11h6a1.5 1.5 0 001.5-1.5v-4A1.5 1.5 0 0010.5 4h-6z"/></svg> AMD EPYC 7763 64-Core Processor</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('image_seg_point')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="image_seg_point">image_seg_point</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>25.28s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('image_seg_text')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="image_seg_text">image_seg_text</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>5.72s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('scene_seg')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="scene_seg">scene_seg</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>8.89s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('scene_seg_interactive')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="scene_seg_interactive">scene_seg_interactive</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>7.57s</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">image_seg_point</span>
|
|
<span class="failed-duration">25.28s</span>
|
|
</div>
|
|
<div class="failed-error">Workflow execution failed: {'prompt_id': '6eab5836-410d-4aaa-954d-d70ca146a272', 'node_id': '31', 'node_type': 'SAM3Segmentation', 'executed': ['1', '15', '30'], 'exception_message': 'No module named \'transformers\'\n\nWorker traceback:\nTraceback (most recent call last):\n File "/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py", line 469, in execute\n sam3_model = get_or_build_model(sam3_model_config)\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py", line 31, in get_or_build_model\n from .sam3_model_patcher import SAM3UnifiedModel\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py", line 14, in <module>\n from comfy.model_patcher import ModelPatcher\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py", line 32, in <module>\n import comfy.hooks\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py", line 14, in <module>\n import comfy.lora\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py", line 23, in <module>\n import comfy.model_base\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py", line 61, in <module>\n import comfy.ldm.hidream_o1.model\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py", line 20, in <module>\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py", line 10, in <module>\n from comfy import sd1_clip\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py", line 3, in <module>\n from transformers import CLIPTokenizer\nModuleNotFoundError: No module named \'transformers\'\n\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 535, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 335, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py", line 674, in call_method\n raise WorkerError(\n'], 'current_inputs': {'refinement_iterations': [0], 'use_multimask': [True], 'output_best_mask': [True], 'sam3_model_config': ["{'checkpoint_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors', 'bpe_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3/bpe_simple_vocab_16e6.txt.gz', 'precision': 'auto', 'dtype': 'fp32', 'compile': False}"], 'image': ['tensor([[[[0.2863, 0.4588, 0.5922],\n [0.2863, 0.4588, 0.5922],\n [0.2863, 0.4588, 0.5922],\n ...,\n [0.3176, 0.5765, 0.7176],\n [0.3333, 0.5961, 0.7451],\n [0.3529, 0.6157, 0.7647]],\n\n [[0.2863, 0.4588, 0.5922],\n [0.2863, 0.4588, 0.5922],\n [0.2863, 0.4588, 0.5922],\n ...,\n [0.3137, 0.5725, 0.7137],\n [0.3137, 0.5765, 0.7255],\n [0.3255, 0.5882, 0.7373]],\n\n [[0.2863, 0.4588, 0.5922],\n [0.2863, 0.4588, 0.5922],\n [0.2863, 0.4588, 0.5922],\n ...,\n [0.3882, 0.5294, 0.6235],\n [0.3922, 0.5216, 0.6196],\n [0.3961, 0.5255, 0.6235]],\n\n ...,\n\n [[0.4941, 0.4784, 0.4157],\n [0.4941, 0.4784, 0.4157],\n [0.4980, 0.4824, 0.4196],\n ...,\n [0.5608, 0.5529, 0.5020],\n [0.5608, 0.5529, 0.5020],\n [0.5608, 0.5529, 0.5020]],\n\n [[0.5098, 0.4941, 0.4314],\n [0.5098, 0.4941, 0.4314],\n [0.5137, 0.4980, 0.4353],\n ...,\n [0.5608, 0.5529, 0.5020],\n [0.5608, 0.5529, 0.5020],\n [0.5608, 0.5529, 0.5020]],\n\n [[0.5176, 0.5020, 0.4392],\n [0.5216, 0.5059, 0.4431],\n [0.5255, 0.5098, 0.4471],\n ...,\n [0.5608, 0.5529, 0.5020],\n [0.5608, 0.5529, 0.5020],\n [0.5608, 0.5529, 0.5020]]]])'], 'positive_points': ["{'points': [[0.3330291853098248, 0.4464251623052616], [0.32588862185381995, 0.5657519162372204], [0.3373135233834277, 0.7637835504221735]], 'labels': [1, 1, 1]}"], 'negative_points': ["{'points': [], 'labels': []}"]}, 'current_outputs': ['1', '30', '28', '15', '31', '29'], 'timestamp': 1778659220467}
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Details:
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Workflow: /tmp/comfy-test-run-_q9m7yot/ComfyUI-SAM3/workflows/image_seg_point.json
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Node error: SAM3Segmentation</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">image_seg_text</span>
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<span class="failed-duration">5.72s</span>
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</div>
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<div class="failed-error">Workflow execution failed: {'prompt_id': '673e8b6b-ce5b-43e7-ab8c-d919d8780739', 'node_id': '15', 'node_type': 'SAM3Grounding', 'executed': ['12', '1'], 'exception_message': 'No module named \'transformers\'\n\nWorker traceback:\nTraceback (most recent call last):\n File "/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py", line 86, in execute\n sam3_model = get_or_build_model(sam3_model_config)\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py", line 31, in get_or_build_model\n from .sam3_model_patcher import SAM3UnifiedModel\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py", line 14, in <module>\n from comfy.model_patcher import ModelPatcher\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py", line 32, in <module>\n import comfy.hooks\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py", line 14, in <module>\n import comfy.lora\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py", line 23, in <module>\n import comfy.model_base\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py", line 61, in <module>\n import comfy.ldm.hidream_o1.model\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py", line 20, in <module>\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py", line 10, in <module>\n from comfy import sd1_clip\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py", line 3, in <module>\n from transformers import CLIPTokenizer\nModuleNotFoundError: No module named \'transformers\'\n\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 535, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 335, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py", line 674, in call_method\n raise WorkerError(\n'], 'current_inputs': {'confidence_threshold': [0.2], 'text_prompt': ['child'], 'max_detections': [-1], 'sam3_model_config': ["{'checkpoint_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors', 'bpe_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3/bpe_simple_vocab_16e6.txt.gz', 'precision': 'fp32', 'dtype': 'fp32', 'compile': False}"], 'image': ['tensor([[[[0.2863, 0.4588, 0.5922],\n [0.2863, 0.4588, 0.5922],\n [0.2863, 0.4588, 0.5922],\n ...,\n [0.3176, 0.5765, 0.7176],\n [0.3333, 0.5961, 0.7451],\n [0.3529, 0.6157, 0.7647]],\n\n [[0.2863, 0.4588, 0.5922],\n [0.2863, 0.4588, 0.5922],\n [0.2863, 0.4588, 0.5922],\n ...,\n [0.3137, 0.5725, 0.7137],\n [0.3137, 0.5765, 0.7255],\n [0.3255, 0.5882, 0.7373]],\n\n [[0.2863, 0.4588, 0.5922],\n [0.2863, 0.4588, 0.5922],\n [0.2863, 0.4588, 0.5922],\n ...,\n [0.3882, 0.5294, 0.6235],\n [0.3922, 0.5216, 0.6196],\n [0.3961, 0.5255, 0.6235]],\n\n ...,\n\n [[0.4941, 0.4784, 0.4157],\n [0.4941, 0.4784, 0.4157],\n [0.4980, 0.4824, 0.4196],\n ...,\n [0.5608, 0.5529, 0.5020],\n [0.5608, 0.5529, 0.5020],\n [0.5608, 0.5529, 0.5020]],\n\n [[0.5098, 0.4941, 0.4314],\n [0.5098, 0.4941, 0.4314],\n [0.5137, 0.4980, 0.4353],\n ...,\n [0.5608, 0.5529, 0.5020],\n [0.5608, 0.5529, 0.5020],\n [0.5608, 0.5529, 0.5020]],\n\n [[0.5176, 0.5020, 0.4392],\n [0.5216, 0.5059, 0.4431],\n [0.5255, 0.5098, 0.4471],\n ...,\n [0.5608, 0.5529, 0.5020],\n [0.5608, 0.5529, 0.5020],\n [0.5608, 0.5529, 0.5020]]]])']}, 'current_outputs': ['12', '1', '4', '15', '3'], 'timestamp': 1778659226735}
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Details:
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Workflow: /tmp/comfy-test-run-_q9m7yot/ComfyUI-SAM3/workflows/image_seg_text.json
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Node error: SAM3Grounding</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">scene_seg</span>
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<span class="failed-duration">8.89s</span>
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</div>
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<div class="failed-error">Workflow execution failed: {'prompt_id': 'cd1d55ec-d5cf-4c3f-a55f-f3280bc4fc6b', 'node_id': '27', 'node_type': 'SAM3MultipromptSegmentation', 'executed': ['12', '20', '1'], 'exception_message': 'No module named \'transformers\'\n\nWorker traceback:\nTraceback (most recent call last):\n File "/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py", line 695, in execute\n sam3_model = get_or_build_model(sam3_model_config)\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py", line 31, in get_or_build_model\n from .sam3_model_patcher import SAM3UnifiedModel\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py", line 14, in <module>\n from comfy.model_patcher import ModelPatcher\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py", line 32, in <module>\n import comfy.hooks\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py", line 14, in <module>\n import comfy.lora\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py", line 23, in <module>\n import comfy.model_base\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py", line 61, in <module>\n import comfy.ldm.hidream_o1.model\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py", line 20, in <module>\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py", line 10, in <module>\n from comfy import sd1_clip\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py", line 3, in <module>\n from transformers import CLIPTokenizer\nModuleNotFoundError: No module named \'transformers\'\n\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 535, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 335, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py", line 674, in call_method\n raise WorkerError(\n'], 'current_inputs': {'refinement_iterations': [0], 'use_multimask': [False], 'sam3_model_config': ["{'checkpoint_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors', 'bpe_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3/bpe_simple_vocab_16e6.txt.gz', 'precision': 'fp32', 'dtype': 'fp32', 'compile': False}"], 'image': ['tensor([[[[0.9176, 0.8392, 0.7333],\n [0.9294, 0.8471, 0.7412],\n [0.9176, 0.8353, 0.7294],\n ...,\n [0.8078, 0.6627, 0.4902],\n [0.8039, 0.6588, 0.4863],\n [0.8157, 0.6706, 0.4980]],\n\n [[0.9137, 0.8353, 0.7294],\n [0.9216, 0.8392, 0.7333],\n [0.9176, 0.8353, 0.7294],\n ...,\n [0.8039, 0.6588, 0.4863],\n [0.8039, 0.6588, 0.4863],\n [0.8118, 0.6667, 0.4941]],\n\n [[0.9137, 0.8314, 0.7255],\n [0.9137, 0.8314, 0.7255],\n [0.9176, 0.8353, 0.7294],\n ...,\n [0.8078, 0.6627, 0.4902],\n [0.8118, 0.6667, 0.4941],\n [0.8039, 0.6588, 0.4863]],\n\n ...,\n\n [[0.8667, 0.6784, 0.4902],\n [0.8706, 0.6824, 0.4941],\n [0.8706, 0.6824, 0.4941],\n ...,\n [0.6471, 0.4431, 0.2549],\n [0.6392, 0.4353, 0.2471],\n [0.6471, 0.4431, 0.2549]],\n\n [[0.8588, 0.6706, 0.4824],\n [0.8667, 0.6784, 0.4902],\n [0.8706, 0.6824, 0.4941],\n ...,\n [0.6431, 0.4392, 0.2510],\n [0.6471, 0.4431, 0.2549],\n [0.6549, 0.4510, 0.2627]],\n\n [[0.8627, 0.6745, 0.4863],\n [0.8667, 0.6784, 0.4902],\n [0.8784, 0.6902, 0.5020],\n ...,\n [0.6353, 0.4314, 0.2431],\n [0.6431, 0.4392, 0.2510],\n [0.6392, 0.4353, 0.2471]]]])'], 'multi_prompts': ["[{'id': 0, 'positive_points': {'points': [[0.7518972528753959, 0.6355044797738758], [0.7340045522905485, 0.6593619024052091], [0.7021953068063758, 0.6623440802341257], [0.6902668397498108, 0.677254969378709], [0.668397983479442, 0.6742727915497924], [0.7180999295484621, 0.6176114128003758], [0.7180999295484621, 0.572878745366626], [0.7439449415043526, 0.5311282557617927], [0.7240641630767446, 0.5609500340509593], [0.6982191511208541, 0.5609500340509593]], 'labels': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.7141237738629407, 0.6056827014847093, 0.15109391604982114, 0.19085938105066613]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 1, 'positive_points': {'points': [[0.6513952517072837, 0.6001522443905642], [0.6354008929467748, 0.6921217188777309], [0.6433980723270292, 0.8680633222444846], [0.8859791801947458, 0.884058013459644], [0.9046392654153393, 0.6041509171943541], [0.9046392654153393, 0.5441708251375063], [0.8060073863922018, 0.5201787883147672]], 'labels': [1, 1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [[0.7180384132094035, 0.5921548987829846], [0.7180384132094035, 0.5921548987829846], [0.7393642248900819, 0.6601323364474121], [0.7393642248900819, 0.6601323364474121], [0.7446956778102515, 0.6841243732701512], [0.7446956778102515, 0.6841243732701512], [0.670055336927877, 0.6721283548587816], [0.670055336927877, 0.6721283548587816], [0.6913811486085556, 0.608149589998144], [0.6913811486085556, 0.608149589998144], [0.6887154221484707, 0.552168170745086], [0.6887154221484707, 0.552168170745086], [0.7100412338291491, 0.552168170745086], [0.7100412338291491, 0.552168170745086], [0.7366984984299972, 0.552168170745086], [0.7366984984299972, 0.552168170745086]], 'labels': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}, 'positive_boxes': {'boxes': [[0.7713529424110994, 0.7141144192985751, 0.31455572229000606, 0.4198606443979348]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 2, 'positive_points': {'points': [[0.5279788816577594, 0.8586378093779201], [0.5097671062510242, 0.6517998210195123], [0.4733435554375539, 0.64789721746558], [0.37968299620291596, 0.64789721746558], [0.39529308940868896, 0.8313195845003946], [0.5565973858683432, 0.8586378093779201], [0.569605796873154, 0.6439946139116478]], 'labels': [1, 1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [[0.4863519664423647, 0.7415597027599534], [0.4863519664423647, 0.7415597027599534], [0.4837502842414026, 0.8508326022700556], [0.4837502842414026, 0.8508326022700556], [0.4473267334279323, 0.8664430164857846], [0.4473267334279323, 0.8664430164857846], [0.43431832242312146, 0.628384199695919], [0.43431832242312146, 0.628384199695919], [0.5123687884519864, 0.5893581641565967], [0.5123687884519864, 0.5893581641565967], [0.5019620596481378, 0.6361894068037834], [0.5019620596481378, 0.6361894068037834], [0.4291149580211971, 0.6400920103577157], [0.4291149580211971, 0.6400920103577157]], 'labels': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}, 'positive_boxes': {'boxes': [[0.47724607873899716, 0.7591214187526485, 0.21593962267985972, 0.24586402389773]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 3, 'positive_points': {'points': [[0.43642532993691785, 0.595717523200948]], 'labels': [1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.4324084720788661, 0.6137937552745099, 0.06426972572882772, 0.07230492829424773]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 4, 'positive_points': {'points': [[0.5006950556657457, 0.595717523200948]], 'labels': [1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.5027034845947715, 0.5716158804361987, 0.09238773073518991, 0.1687114993532448]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 5, 'positive_points': {'points': [[0.9264819886192297, 0.384828149009392], [0.7939256793035224, 0.37880273831820466], [0.7939256793035224, 0.11368466790596292], [0.9304988464772813, 0.10765925721477561], [0.874262836464557, 0.22214206034733455], [0.8501616893162467, 0.22214206034733455], [0.846144831458195, 0.31854863140633155], [0.8983639836128675, 0.3004723993327696], [0.8943471257548158, 0.20406582827377262], [0.8943471257548158, 0.12573548928833755], [0.8421279736001431, 0.1558625427442741], [0.830077400025988, 0.28842157795039497], [0.8220436843098845, 0.33059945278870617]], 'labels': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.8662291207484536, 0.25829452449445844, 0.18477546147037982, 0.31332135594174026]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 6, 'positive_points': {'points': [[0.7045792285036274, 0.9568116711293354], [0.6789425589101554, 0.9568116711293354], [0.6569682706871793, 0.9348369322210276], [0.6716177961691634, 0.9293432474939506], [0.6569682706871793, 0.9403306169481045], [0.7082416098741234, 0.9403306169481045]], 'labels': [1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.6789425589101554, 0.943077459311643, 0.10254667837388842, 0.07141790145200044]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}]"]}, 'current_outputs': ['12', '26', '1', '24', '4', '27', '3', '20', '23', '22'], 'timestamp': 1778659234775}
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Details:
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Workflow: /tmp/comfy-test-run-_q9m7yot/ComfyUI-SAM3/workflows/scene_seg.json
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Node error: SAM3MultipromptSegmentation</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">scene_seg_interactive</span>
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<span class="failed-duration">7.57s</span>
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</div>
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<div class="failed-error">Workflow execution failed: {'prompt_id': '9b1e93fa-be7f-4560-af3e-7d3b83b91255', 'node_id': '26', 'node_type': 'SAM3InteractiveCollector', 'executed': ['12', '1'], 'exception_message': 'No module named \'transformers\'\n\nWorker traceback:\nTraceback (most recent call last):\n File "/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_interactive.py", line 667, in execute\n sam3_model = get_or_build_model(sam3_model_config)\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py", line 31, in get_or_build_model\n from .sam3_model_patcher import SAM3UnifiedModel\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py", line 14, in <module>\n from comfy.model_patcher import ModelPatcher\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py", line 32, in <module>\n import comfy.hooks\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py", line 14, in <module>\n import comfy.lora\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py", line 23, in <module>\n import comfy.model_base\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py", line 61, in <module>\n import comfy.ldm.hidream_o1.model\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py", line 20, in <module>\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py", line 10, in <module>\n from comfy import sd1_clip\n File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py", line 3, in <module>\n from transformers import CLIPTokenizer\nModuleNotFoundError: No module named \'transformers\'\n\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 535, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 335, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py", line 556, in proxy\n result = worker.call_method(\n', ' File "/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py", line 674, in call_method\n raise WorkerError(\n'], 'current_inputs': {'multi_prompts_store': ['[{"positive_points":[{"x":3348.288109906738,"y":2452.2208696844737}],"negative_points":[],"positive_boxes":[],"negative_boxes":[],"name":"Prompt 1"},{"positive_points":[],"negative_points":[],"positive_boxes":[],"negative_boxes":[],"name":"Prompt 2"}]'], 'sam3_model_config': ["{'checkpoint_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors', 'bpe_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3/bpe_simple_vocab_16e6.txt.gz', 'precision': 'auto', 'dtype': 'fp32', 'compile': False}"], 'image': ['tensor([[[[0.9176, 0.8392, 0.7333],\n [0.9294, 0.8471, 0.7412],\n [0.9176, 0.8353, 0.7294],\n ...,\n [0.8078, 0.6627, 0.4902],\n [0.8039, 0.6588, 0.4863],\n [0.8157, 0.6706, 0.4980]],\n\n [[0.9137, 0.8353, 0.7294],\n [0.9216, 0.8392, 0.7333],\n [0.9176, 0.8353, 0.7294],\n ...,\n [0.8039, 0.6588, 0.4863],\n [0.8039, 0.6588, 0.4863],\n [0.8118, 0.6667, 0.4941]],\n\n [[0.9137, 0.8314, 0.7255],\n [0.9137, 0.8314, 0.7255],\n [0.9176, 0.8353, 0.7294],\n ...,\n [0.8078, 0.6627, 0.4902],\n [0.8118, 0.6667, 0.4941],\n [0.8039, 0.6588, 0.4863]],\n\n ...,\n\n [[0.8667, 0.6784, 0.4902],\n [0.8706, 0.6824, 0.4941],\n [0.8706, 0.6824, 0.4941],\n ...,\n [0.6471, 0.4431, 0.2549],\n [0.6392, 0.4353, 0.2471],\n [0.6471, 0.4431, 0.2549]],\n\n [[0.8588, 0.6706, 0.4824],\n [0.8667, 0.6784, 0.4902],\n [0.8706, 0.6824, 0.4941],\n ...,\n [0.6431, 0.4392, 0.2510],\n [0.6471, 0.4431, 0.2549],\n [0.6549, 0.4510, 0.2627]],\n\n [[0.8627, 0.6745, 0.4863],\n [0.8667, 0.6784, 0.4902],\n [0.8784, 0.6902, 0.5020],\n ...,\n [0.6353, 0.4314, 0.2431],\n [0.6431, 0.4392, 0.2510],\n [0.6392, 0.4353, 0.2471]]]])'], 'unique_id': ['26'], 'prompt': ['{\'1\': {\'inputs\': {\'image\': \'image.png\'}, \'class_type\': \'LoadImage\', \'_meta\': {\'title\': \'Load Image\'}, \'is_changed\': [\'72785412200dcb9f5c6bc4eaa3018172293f67836627708e6bce78150109af15\']}, \'4\': {\'inputs\': {\'mask\': [\'26\', 0]}, \'class_type\': \'MaskPreview\', \'_meta\': {\'title\': \'Preview Mask\'}}, \'12\': {\'inputs\': {\'precision\': \'auto\', \'compile\': False}, \'class_type\': \'LoadSAM3Model\', \'_meta\': {\'title\': \'(Down)Load SAM3 Model\'}}, \'26\': {\'inputs\': {\'multi_prompts_store\': \'[{"positive_points":[{"x":3348.288109906738,"y":2452.2208696844737}],"negative_points":[],"positive_boxes":[],"negative_boxes":[],"name":"Prompt 1"},{"positive_points":[],"negative_points":[],"positive_boxes":[],"negative_boxes":[],"name":"Prompt 2"}]\', \'canvas\': \'\', \'sam3_model_config\': [\'12\', 0], \'image\': [\'1\', 0]}, \'class_type\': \'SAM3InteractiveCollector\', \'_meta\': {\'title\': \'SAM3 Interactive Collector\'}}}'], 'extra_pnginfo': ['{\'workflow\': {\'id\': \'9e5b67d0-53dc-42aa-bdb7-541f1939e114\', \'revision\': 0, \'last_node_id\': 26, \'last_link_id\': 57, \'nodes\': [{\'id\': 12, \'type\': \'LoadSAM3Model\', \'pos\': [619.424717299163, 120.03196674570798], \'size\': [270, 134.65625], \'flags\': {}, \'order\': 0, \'mode\': 0, \'inputs\': [], \'outputs\': [{\'name\': \'sam3_model_config\', \'type\': \'SAM3_MODEL_CONFIG\', \'links\': [55]}], \'properties\': {\'Node name for S&R\': \'LoadSAM3Model\', \'cnr_id\': \'comfyui-sam3\', \'ver\': \'82c8e4f88a6c0a9242712b827e05f5e67c4a90a7\', \'aux_id\': \'PozzettiAndrea/ComfyUI-SAM3\'}, \'widgets_values\': [\'auto\', False]}, {\'id\': 1, \'type\': \'LoadImage\', \'pos\': [488.1468326416015, 306.42935311583375], \'size\': [274.078125, 340], \'flags\': {}, \'order\': 1, \'mode\': 0, \'inputs\': [], \'outputs\': [{\'name\': \'IMAGE\', \'type\': \'IMAGE\', \'links\': [56]}, {\'name\': \'MASK\', \'type\': \'MASK\', \'links\': None}], \'properties\': {\'Node name for S&R\': \'LoadImage\', \'cnr_id\': \'comfy-core\', \'ver\': \'0.3.72\'}, \'widgets_values\': [\'image.png\', \'image\']}, {\'id\': 26, \'type\': \'SAM3InteractiveCollector\', \'pos\': [1010.2283851719152, 178.893439578179], \'size\': [400, 569], \'flags\': {}, \'order\': 2, \'mode\': 0, \'inputs\': [{\'name\': \'sam3_model_config\', \'type\': \'SAM3_MODEL_CONFIG\', \'link\': 55}, {\'name\': \'image\', \'type\': \'IMAGE\', \'link\': 56}], \'outputs\': [{\'name\': \'masks\', \'type\': \'MASK\', \'links\': [57]}, {\'name\': \'visualization\', \'type\': \'IMAGE\', \'links\': None}, {\'name\': \'multi_prompts\', \'type\': \'SAM3_MULTI_PROMPTS\', \'links\': None}], \'properties\': {\'Node name for S&R\': \'SAM3InteractiveCollector\', \'cnr_id\': \'comfyui-sam3\', \'ver\': \'c7636fa4a0b8c0fb07aa01f0c7749ebd5f9c92f3\'}, \'widgets_values\': [\'[{"positive_points":[{"x":3348.288109906738,"y":2452.2208696844737}],"negative_points":[],"positive_boxes":[],"negative_boxes":[],"name":"Prompt 1"},{"positive_points":[],"negative_points":[],"positive_boxes":[],"negative_boxes":[],"name":"Prompt 2"}]\', \'\']}, {\'id\': 4, \'type\': \'MaskPreview\', \'pos\': [1509.2821361303925, 266.63965000030805], \'size\': [225, 258], \'flags\': {}, \'order\': 3, \'mode\': 0, \'inputs\': [{\'name\': \'mask\', \'type\': \'MASK\', \'link\': 57}], \'outputs\': [], \'properties\': {\'Node name for S&R\': \'MaskPreview\', \'cnr_id\': \'comfy-core\', \'ver\': \'0.3.72\'}, \'widgets_values\': []}], \'links\': [[55, 12, 0, 26, 0, \'SAM3_MODEL_CONFIG\'], [56, 1, 0, 26, 1, \'IMAGE\'], [57, 26, 0, 4, 0, \'MASK\']], \'groups\': [], \'config\': {}, \'extra\': {\'ds\': {\'scale\': 1.2385275239783924, \'offset\': [-570.0951003265552, 14.632739985499132]}, \'frontendVersion\': \'1.43.18\', \'workflowRendererVersion\': \'LG\', \'VHS_latentpreview\': False, \'VHS_latentpreviewrate\': 0, \'VHS_MetadataImage\': True, \'VHS_KeepIntermediate\': True}, \'version\': 0.4}}']}, 'current_outputs': ['12', '26', '1', '4'], 'timestamp': 1778659243895}
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Details:
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Workflow: /tmp/comfy-test-run-_q9m7yot/ComfyUI-SAM3/workflows/scene_seg_interactive.json
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Node error: SAM3InteractiveCollector</div>
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</div>
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</div>
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<div class="models-section">
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<div class="section-header">
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<h2 class="section-title">Downloaded Models</h2>
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<span class="models-total">1 files · 3.2 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/sam3/</span>
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<span class="models-folder-meta">
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<span class="models-folder-size">3.2 GB</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">sam3.safetensors</span><span class="models-file-size">3.2 GB</span></div>
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</details>
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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="resource-graph" id="resource-graph">
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<span><span class="dot ram"></span> RAM (GB)</span>
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<div class="lightbox-info">
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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 class="lightbox-meta">
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<span class="lightbox-badge" id="lightbox-badge"></span>
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<span class="lightbox-duration" id="lightbox-duration"></span>
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</div>
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</div>
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<pre class="lightbox-log" id="lightbox-log"></pre>
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</div>
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</div>
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<div class="img-overlay" id="img-overlay">
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<img id="img-overlay-content" src="" alt="">
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</div>
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<footer>
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Generated by <a href="https://github.com/PozzettiAndrea/comfy-test">comfy-test</a>
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</footer>
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<script>
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function setView(mode) {
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const grid = document.getElementById('workflow-grid');
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grid.className = mode === 'list' ? 'workflow-grid view-list' : 'workflow-grid';
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document.querySelectorAll('.view-controls .view-btn').forEach(btn => {
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btn.classList.toggle('active', btn.textContent.trim().toLowerCase() === mode);
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});
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}
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const workflowData = {"image_seg_point": {"src": "", "title": "image_seg_point", "status": "fail", "duration": "25.28", "log": "Capturing execution frames: image_seg_point.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 6 nodes\n [ComfyUI] Node 1: LoadImage\n [ComfyUI] Inputs: {\"image\": \"example_image.jpg\"}\n [ComfyUI] Node 15: SAM3PointCollector\n [ComfyUI] Inputs: {\"points_store\": \"{\\\"positive\\\":[{\\\"x\\\":426.27735719657574,\\\"y\\\":321.42611685978835},{\\\"x\\\":417.13743597288953,\\\"y\\\":407.3413796907987},{\\\"x\\\":431.76130993078743,\\\"y\\\":549.9241563039649}],\\\"negative\\\"\n [ComfyUI] Node 28: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"31\", 2]}\n [ComfyUI] Node 29: MaskPreview\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"mask\": [\"31\", 0]}\n [ComfyUI] Node 30: LoadSAM3Model\n [ComfyUI] Inputs: {\"precision\": \"auto\", \"compile\": false}\n [ComfyUI] Node 31: SAM3Segmentation\n [ComfyUI] Inputs: {\"refinement_iterations\": 0, \"use_multimask\": true, \"output_best_mask\": true, \"sam3_model_config\": [\"30\", 0], \"image\": [\"1\", 0], \"positive_points\": [\"15\", 0], \"negative_points\": [\"15\", 1]}\n [ComfyUI] Generated prompt_id: b4127439-7fa9-4b9f-9930-615cdfb2e938\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running SAM3PointCollector: points_store: '{\"positive\":[{\"x\":426.27735719657574,\"y\":321.42611685978..., coordinates: '[{\"x\":426.27735719657574,\"y\":321.42611685978835},{\"x\":41..., neg_coordinates: '[]', image: torch.float32 [1,720,1280,3] cpu\n [ComfyUI] [comfy-env] SubprocessWorker: /home/runner/.ce/.pixi/envs/sam3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] call_method: nodes.sam3_interactive.SAM3PointCollector.EXECUTE_NORMALIZED\n [ComfyUI] [comfy-env] env_vars: {'PYTORCH_ENABLE_MPS_FALLBACK': '1', 'COMFYUI_BASE': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI'}\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-SAM3] python: /home/runner/.ce/.pixi/envs/sam3-nodes/bin/python\n [ComfyUI] [ComfyUI-SAM3] sys_path sent to worker: ['/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI', '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3', '/home/runner/.ce/.pixi/envs/sam3-nodes/lib/python3.10/site-packages', '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/home/runner/.ce/.pixi/envs/sam3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/home/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/home/runner/.ce/pixi.toml', '-e', 'sam3-nodes', 'python', '/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py', 'abstract://comfy_worker_1bc963985f0a']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_1bc963985f0a (abstract, no filesystem path)\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'image' shape: torch.Size([1, 720, 1280, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=1 sending call_method\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 720, 1280, 3]\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 720, 1280, 3])\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=2ms shot=100ms unfreeze=3ms saved=True\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] SAM3PointCollector done (2.37s): result: NodeOutput\n [ComfyUI] [comfy-env] Running LoadSAM3Model: precision: 'auto', compile: False\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.LoadSAM3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-SAM3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=2 sending call_method\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Model not found at /home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors, downloading from HuggingFace...\n Node executed (1 total), capturing...\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Downloading sam3.safetensors from apozz/sam3-safetensors...\n Frame 3 saved (frame_002.jpg, t=2.8s)\n [capture-node] freeze=3ms shot=123ms unfreeze=3ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Download progress: 10%\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n Frame 4 saved (frame_003.jpg, t=5.0s)\n [capture-periodic] freeze=16ms shot=148ms unfreeze=6ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Download progress: 20%\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [capture-loop] iter=50 t=6.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=3 ram=2.2/15.6GB (14%) swap=0.0/3.0GB (0%) cpu=22% browser_rss=0.89GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n Frame 5 saved (frame_004.jpg, t=7.2s)\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [capture-periodic] freeze=2ms shot=213ms unfreeze=16ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Download progress: 30%\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Download progress: 40%\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n Frame 6 saved (frame_005.jpg, t=9.7s)\n [capture-periodic] freeze=220ms shot=185ms unfreeze=3ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Download progress: 50%\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Download progress: 60%\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n Frame 7 saved (frame_006.jpg, t=12.2s)\n [capture-periodic] freeze=3ms shot=156ms unfreeze=2ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [capture-loop] iter=100 t=13.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=2 ram=2.2/15.6GB (14%) swap=0.0/3.0GB (0%) cpu=46% browser_rss=0.91GB\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Download progress: 70%\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n Frame 8 saved (frame_007.jpg, t=14.4s)\n [capture-periodic] freeze=3ms shot=144ms unfreeze=4ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Download progress: 80%\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Download progress: 90%\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n Frame 9 saved (frame_008.jpg, t=16.8s)\n [capture-periodic] freeze=7ms shot=197ms unfreeze=3ms saved=True\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Download progress: 100%\n [ComfyUI] [SubprocessWorker] callback 'report_progress' from call_id=2\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Downloaded sam3.safetensors\n [ComfyUI] [worker:ComfyUI-SAM3] [SAM3] Model downloaded successfully\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] LoadSAM3Model done (15.18s): result: NodeOutput\n [ComfyUI] [comfy-env] Running SAM3Segmentation: refinement_iterations: 0, use_multimask: True, output_best_mask: True, sam3_model_config: dict, image: torch.float32 [1,720,1280,3] cpu, positive_points: dict, negative_points: dict\n [ComfyUI] [SubprocessWorker] call_method: nodes.segmentation.SAM3Segmentation.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-SAM3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'image' shape: torch.Size([1, 720, 1280, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=3 sending call_method\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 720, 1280, 3]\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 720, 1280, 3])\n [ComfyUI] [SubprocessWorker] got response: error\n [ComfyUI] !!! Exception during processing !!! No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py\", line 469, in execute\n [ComfyUI] sam3_model = get_or_build_model(sam3_model_config)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\n [ComfyUI] from .sam3_model_patcher import SAM3UnifiedModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\n [ComfyUI] from comfy.model_patcher import ModelPatcher\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\n [ComfyUI] import comfy.ldm.hidream_o1.model\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\n [ComfyUI] from comfy.text_encoders.qwen35 import Qwen35VisionModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\n [ComfyUI] from comfy import sd1_clip\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\n [ComfyUI] from transformers import CLIPTokenizer\n [ComfyUI] ModuleNotFoundError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\n [ComfyUI] raise WorkerError(\n [ComfyUI] comfy_env.isolation.workers.base.WorkerError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py\", line 469, in execute\n [ComfyUI] sam3_model = get_or_build_model(sam3_model_config)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\n [ComfyUI] from .sam3_model_patcher import SAM3UnifiedModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\n [ComfyUI] from comfy.model_patcher import ModelPatcher\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\n [ComfyUI] import comfy.ldm.hidream_o1.model\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\n [ComfyUI] from comfy.text_encoders.qwen35 import Qwen35VisionModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\n [ComfyUI] from comfy import sd1_clip\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\n [ComfyUI] from transformers import CLIPTokenizer\n [ComfyUI] ModuleNotFoundError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Prompt executed in 18.53 seconds\n Execution complete (t=19.0s)\n Execution error: {'prompt_id': '6eab5836-410d-4aaa-954d-d70ca146a272', 'node_id': '31', 'node_type': 'SAM3Segmentation', 'executed': ['1', '15', '30'], 'exception_message': 'No module named \\'transformers\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py\", line 469, in execute\\n sam3_model = get_or_build_model(sam3_model_config)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\\n from .sam3_model_patcher import SAM3UnifiedModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\\n from comfy.model_patcher import ModelPatcher\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\\n import comfy.ldm.hidream_o1.model\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\\n from comfy import sd1_clip\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\\n from transformers import CLIPTokenizer\\nModuleNotFoundError: No module named \\'transformers\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'refinement_iterations': [0], 'use_multimask': [True], 'output_best_mask': [True], 'sam3_model_config': [\"{'checkpoint_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors', 'bpe_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3/bpe_simple_vocab_16e6.txt.gz', 'precision': 'auto', 'dtype': 'fp32', 'compile': False}\"], 'image': ['tensor([[[[0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n ...,\\n [0.3176, 0.5765, 0.7176],\\n [0.3333, 0.5961, 0.7451],\\n [0.3529, 0.6157, 0.7647]],\\n\\n [[0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n ...,\\n [0.3137, 0.5725, 0.7137],\\n [0.3137, 0.5765, 0.7255],\\n [0.3255, 0.5882, 0.7373]],\\n\\n [[0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n ...,\\n [0.3882, 0.5294, 0.6235],\\n [0.3922, 0.5216, 0.6196],\\n [0.3961, 0.5255, 0.6235]],\\n\\n ...,\\n\\n [[0.4941, 0.4784, 0.4157],\\n [0.4941, 0.4784, 0.4157],\\n [0.4980, 0.4824, 0.4196],\\n ...,\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020]],\\n\\n [[0.5098, 0.4941, 0.4314],\\n [0.5098, 0.4941, 0.4314],\\n [0.5137, 0.4980, 0.4353],\\n ...,\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020]],\\n\\n [[0.5176, 0.5020, 0.4392],\\n [0.5216, 0.5059, 0.4431],\\n [0.5255, 0.5098, 0.4471],\\n ...,\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020]]]])'], 'positive_points': [\"{'points': [[0.3330291853098248, 0.4464251623052616], [0.32588862185381995, 0.5657519162372204], [0.3373135233834277, 0.7637835504221735]], 'labels': [1, 1, 1]}\"], 'negative_points': [\"{'points': [], 'labels': []}\"]}, 'current_outputs': ['1', '30', '28', '15', '31', '29'], 'timestamp': 1778659220467}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': '6eab5836-410d-4aaa-954d-d70ca146a272', 'node_id': '31', 'node_type': 'SAM3Segmentation', 'executed': ['1', '15', '30'], 'exception_message': 'No module named \\'transformers\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py\", line 469, in execute\\n sam3_model = get_or_build_model(sam3_model_config)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\\n from .sam3_model_patcher import SAM3UnifiedModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\\n from comfy.model_patcher import ModelPatcher\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\\n import comfy.ldm.hidream_o1.model\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\\n from comfy import sd1_clip\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\\n from transformers import CLIPTokenizer\\nModuleNotFoundError: No module named \\'transformers\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'refinement_iterations': [0], 'use_multimask': [True], 'output_best_mask': [True], 'sam3_model_config': [\"{'checkpoint_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors', 'bpe_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3/bpe_simple_vocab_16e6.txt.gz', 'precision': 'auto', 'dtype': 'fp32', 'compile': False}\"], 'image': ['tensor([[[[0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n ...,\\n [0.3176, 0.5765, 0.7176],\\n [0.3333, 0.5961, 0.7451],\\n [0.3529, 0.6157, 0.7647]],\\n\\n [[0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n ...,\\n [0.3137, 0.5725, 0.7137],\\n [0.3137, 0.5765, 0.7255],\\n [0.3255, 0.5882, 0.7373]],\\n\\n [[0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n ...,\\n [0.3882, 0.5294, 0.6235],\\n [0.3922, 0.5216, 0.6196],\\n [0.3961, 0.5255, 0.6235]],\\n\\n ...,\\n\\n [[0.4941, 0.4784, 0.4157],\\n [0.4941, 0.4784, 0.4157],\\n [0.4980, 0.4824, 0.4196],\\n ...,\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020]],\\n\\n [[0.5098, 0.4941, 0.4314],\\n [0.5098, 0.4941, 0.4314],\\n [0.5137, 0.4980, 0.4353],\\n ...,\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020]],\\n\\n [[0.5176, 0.5020, 0.4392],\\n [0.5216, 0.5059, 0.4431],\\n [0.5255, 0.5098, 0.4471],\\n ...,\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020]]]])'], 'positive_points': [\"{'points': [[0.3330291853098248, 0.4464251623052616], [0.32588862185381995, 0.5657519162372204], [0.3373135233834277, 0.7637835504221735]], 'labels': [1, 1, 1]}\"], 'negative_points': [\"{'points': [], 'labels': []}\"]}, 'current_outputs': ['1', '30', '28', '15', '31', '29'], 'timestamp': 1778659220467}\n Details: Workflow: /tmp/comfy-test-run-_q9m7yot/ComfyUI-SAM3/workflows/image_seg_point.json\nNode error: SAM3Segmentation", "hardware": {"os": "Linux-6.17.0-1010-azure-x86_64-with-glibc2.39", "cpu": "AMD EPYC 7763 64-Core Processor"}}, "image_seg_text": {"src": "", "title": "image_seg_text", "status": "fail", "duration": "5.72", "log": "Capturing execution frames: image_seg_text.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 5 nodes\n [ComfyUI] Node 1: LoadImage\n [ComfyUI] Inputs: {\"image\": \"example_image.jpg\"}\n [ComfyUI] Node 3: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"15\", 1]}\n Queuing workflow for execution...\n [ComfyUI] Node 4: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"15\", 0]}\n [ComfyUI] Node 12: LoadSAM3Model\n [ComfyUI] Inputs: {\"precision\": \"fp32\", \"compile\": false}\n [ComfyUI] Node 15: SAM3Grounding\n [ComfyUI] Inputs: {\"confidence_threshold\": 0.2, \"text_prompt\": \"child\", \"max_detections\": -1, \"sam3_model_config\": [\"12\", 0], \"image\": [\"1\", 0]}\n [ComfyUI] Generated prompt_id: 1af7df65-7f85-4c35-b811-971d1b6f0ae6\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running LoadSAM3Model: precision: 'fp32', compile: False\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.LoadSAM3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-SAM3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=4 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] LoadSAM3Model done (0.01s): result: NodeOutput\n [ComfyUI] [comfy-env] Running SAM3Grounding: confidence_threshold: 0.2, text_prompt: 'child', max_detections: -1, sam3_model_config: dict, image: torch.float32 [1,720,1280,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.segmentation.SAM3Grounding.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-SAM3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'image' shape: torch.Size([1, 720, 1280, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=5 sending call_method\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 720, 1280, 3]\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 720, 1280, 3])\n [ComfyUI] [SubprocessWorker] got response: error\n [ComfyUI] !!! Exception during processing !!! No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py\", line 86, in execute\n [ComfyUI] sam3_model = get_or_build_model(sam3_model_config)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\n [ComfyUI] from .sam3_model_patcher import SAM3UnifiedModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\n [ComfyUI] from comfy.model_patcher import ModelPatcher\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\n [ComfyUI] import comfy.ldm.hidream_o1.model\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\n [ComfyUI] from comfy.text_encoders.qwen35 import Qwen35VisionModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\n [ComfyUI] from comfy import sd1_clip\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\n [ComfyUI] from transformers import CLIPTokenizer\n [ComfyUI] ModuleNotFoundError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\n [ComfyUI] raise WorkerError(\n [ComfyUI] comfy_env.isolation.workers.base.WorkerError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py\", line 86, in execute\n [ComfyUI] sam3_model = get_or_build_model(sam3_model_config)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\n [ComfyUI] from .sam3_model_patcher import SAM3UnifiedModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\n [ComfyUI] from comfy.model_patcher import ModelPatcher\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\n [ComfyUI] import comfy.ldm.hidream_o1.model\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\n [ComfyUI] from comfy.text_encoders.qwen35 import Qwen35VisionModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\n [ComfyUI] from comfy import sd1_clip\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\n [ComfyUI] from transformers import CLIPTokenizer\n [ComfyUI] ModuleNotFoundError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Prompt executed in 0.07 seconds\n Execution complete (t=0.3s)\n Execution error: {'prompt_id': '673e8b6b-ce5b-43e7-ab8c-d919d8780739', 'node_id': '15', 'node_type': 'SAM3Grounding', 'executed': ['12', '1'], 'exception_message': 'No module named \\'transformers\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py\", line 86, in execute\\n sam3_model = get_or_build_model(sam3_model_config)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\\n from .sam3_model_patcher import SAM3UnifiedModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\\n from comfy.model_patcher import ModelPatcher\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\\n import comfy.ldm.hidream_o1.model\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\\n from comfy import sd1_clip\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\\n from transformers import CLIPTokenizer\\nModuleNotFoundError: No module named \\'transformers\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'confidence_threshold': [0.2], 'text_prompt': ['child'], 'max_detections': [-1], 'sam3_model_config': [\"{'checkpoint_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors', 'bpe_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3/bpe_simple_vocab_16e6.txt.gz', 'precision': 'fp32', 'dtype': 'fp32', 'compile': False}\"], 'image': ['tensor([[[[0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n ...,\\n [0.3176, 0.5765, 0.7176],\\n [0.3333, 0.5961, 0.7451],\\n [0.3529, 0.6157, 0.7647]],\\n\\n [[0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n ...,\\n [0.3137, 0.5725, 0.7137],\\n [0.3137, 0.5765, 0.7255],\\n [0.3255, 0.5882, 0.7373]],\\n\\n [[0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n ...,\\n [0.3882, 0.5294, 0.6235],\\n [0.3922, 0.5216, 0.6196],\\n [0.3961, 0.5255, 0.6235]],\\n\\n ...,\\n\\n [[0.4941, 0.4784, 0.4157],\\n [0.4941, 0.4784, 0.4157],\\n [0.4980, 0.4824, 0.4196],\\n ...,\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020]],\\n\\n [[0.5098, 0.4941, 0.4314],\\n [0.5098, 0.4941, 0.4314],\\n [0.5137, 0.4980, 0.4353],\\n ...,\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020]],\\n\\n [[0.5176, 0.5020, 0.4392],\\n [0.5216, 0.5059, 0.4431],\\n [0.5255, 0.5098, 0.4471],\\n ...,\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020]]]])']}, 'current_outputs': ['12', '1', '4', '15', '3'], 'timestamp': 1778659226735}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': '673e8b6b-ce5b-43e7-ab8c-d919d8780739', 'node_id': '15', 'node_type': 'SAM3Grounding', 'executed': ['12', '1'], 'exception_message': 'No module named \\'transformers\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py\", line 86, in execute\\n sam3_model = get_or_build_model(sam3_model_config)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\\n from .sam3_model_patcher import SAM3UnifiedModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\\n from comfy.model_patcher import ModelPatcher\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\\n import comfy.ldm.hidream_o1.model\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\\n from comfy import sd1_clip\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\\n from transformers import CLIPTokenizer\\nModuleNotFoundError: No module named \\'transformers\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'confidence_threshold': [0.2], 'text_prompt': ['child'], 'max_detections': [-1], 'sam3_model_config': [\"{'checkpoint_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors', 'bpe_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3/bpe_simple_vocab_16e6.txt.gz', 'precision': 'fp32', 'dtype': 'fp32', 'compile': False}\"], 'image': ['tensor([[[[0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n ...,\\n [0.3176, 0.5765, 0.7176],\\n [0.3333, 0.5961, 0.7451],\\n [0.3529, 0.6157, 0.7647]],\\n\\n [[0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n ...,\\n [0.3137, 0.5725, 0.7137],\\n [0.3137, 0.5765, 0.7255],\\n [0.3255, 0.5882, 0.7373]],\\n\\n [[0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n [0.2863, 0.4588, 0.5922],\\n ...,\\n [0.3882, 0.5294, 0.6235],\\n [0.3922, 0.5216, 0.6196],\\n [0.3961, 0.5255, 0.6235]],\\n\\n ...,\\n\\n [[0.4941, 0.4784, 0.4157],\\n [0.4941, 0.4784, 0.4157],\\n [0.4980, 0.4824, 0.4196],\\n ...,\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020]],\\n\\n [[0.5098, 0.4941, 0.4314],\\n [0.5098, 0.4941, 0.4314],\\n [0.5137, 0.4980, 0.4353],\\n ...,\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020]],\\n\\n [[0.5176, 0.5020, 0.4392],\\n [0.5216, 0.5059, 0.4431],\\n [0.5255, 0.5098, 0.4471],\\n ...,\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020],\\n [0.5608, 0.5529, 0.5020]]]])']}, 'current_outputs': ['12', '1', '4', '15', '3'], 'timestamp': 1778659226735}\n Details: Workflow: /tmp/comfy-test-run-_q9m7yot/ComfyUI-SAM3/workflows/image_seg_text.json\nNode error: SAM3Grounding", "hardware": {"os": "Linux-6.17.0-1010-azure-x86_64-with-glibc2.39", "cpu": "AMD EPYC 7763 64-Core Processor"}}, "scene_seg": {"src": "", "title": "scene_seg", "status": "fail", "duration": "8.89", "log": "Capturing execution frames: scene_seg.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 10 nodes\n [ComfyUI] Node 1: LoadImage\n [ComfyUI] Inputs: {\"image\": \"image.png\"}\n [ComfyUI] Node 3: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"27\", 1]}\n [ComfyUI] Node 4: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"27\", 0]}\n [ComfyUI] Node 12: LoadSAM3Model\n [ComfyUI] Inputs: {\"precision\": \"fp32\", \"compile\": false}\n Queuing workflow for execution...\n [ComfyUI] Node 20: SAM3MultiRegionCollector\n [ComfyUI] Inputs: {\"multi_prompts_store\": \"[{\\\"positive_points\\\":[{\\\"x\\\":5052.74953932266,\\\"y\\\":2847.0600693869637},{\\\"x\\\":4932.510591392486,\\\"y\\\":2953.9413227753366},{\\\"x\\\":4718.752461738845,\\\"y\\\":2967.301479448883},{\n [ComfyUI] Node 22: MultibandFromBatch\n [ComfyUI] Inputs: {\"images\": [\"1\", 0], \"masks\": [\"27\", 0]}\n [ComfyUI] Node 23: MultibandSave\n [ComfyUI] Inputs: {\"file_path\": \"output/multiband\", \"format\": \"npz\", \"multiband\": [\"26\", 0]}\n [ComfyUI] Node 24: MultibandPreview\n [ComfyUI] Inputs: {\"channel_index\": 0, \"multiband\": [\"26\", 0]}\n [ComfyUI] Node 26: MultibandResize\n [ComfyUI] Inputs: {\"upscale_method\": \"nearest-exact\", \"width\": 900, \"height\": 600, \"crop\": \"center\", \"multiband\": [\"22\", 0]}\n [ComfyUI] Node 27: SAM3MultipromptSegmentation\n [ComfyUI] Inputs: {\"refinement_iterations\": 0, \"use_multimask\": false, \"sam3_model_config\": [\"12\", 0], \"image\": [\"1\", 0], \"multi_prompts\": [\"20\", 0]}\n [ComfyUI] Generated prompt_id: b23ddbd9-abac-4f3b-95d6-05085671c412\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running SAM3MultiRegionCollector: multi_prompts_store: '[{\"positive_points\":[{\"x\":5052.74953932266,\"y\":2847.0600..., image: torch.float32 [1,4480,6720,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.sam3_interactive.SAM3MultiRegionCollector.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-SAM3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'image' shape: torch.Size([1, 4480, 6720, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=6 sending call_method\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 4480, 6720, 3]\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 4480, 6720, 3])\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] SAM3MultiRegionCollector done (0.56s): result: NodeOutput\n [ComfyUI] [comfy-env] Running LoadSAM3Model: precision: 'fp32', compile: False\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.LoadSAM3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-SAM3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=7 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] LoadSAM3Model done (0.03s): result: NodeOutput\n [ComfyUI] [comfy-env] Running SAM3MultipromptSegmentation: refinement_iterations: 0, use_multimask: False, sam3_model_config: dict, image: torch.float32 [1,4480,6720,3] cpu, multi_prompts: list[7]\n [ComfyUI] [SubprocessWorker] call_method: nodes.segmentation.SAM3MultipromptSegmentation.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-SAM3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'image' shape: torch.Size([1, 4480, 6720, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=8 sending call_method\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 4480, 6720, 3]\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 4480, 6720, 3])\n [ComfyUI] [SubprocessWorker] got response: error\n [ComfyUI] !!! Exception during processing !!! No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py\", line 695, in execute\n [ComfyUI] sam3_model = get_or_build_model(sam3_model_config)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\n [ComfyUI] from .sam3_model_patcher import SAM3UnifiedModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\n [ComfyUI] from comfy.model_patcher import ModelPatcher\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\n [ComfyUI] import comfy.ldm.hidream_o1.model\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\n [ComfyUI] from comfy.text_encoders.qwen35 import Qwen35VisionModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\n [ComfyUI] from comfy import sd1_clip\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\n [ComfyUI] from transformers import CLIPTokenizer\n [ComfyUI] ModuleNotFoundError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\n [ComfyUI] raise WorkerError(\n [ComfyUI] comfy_env.isolation.workers.base.WorkerError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py\", line 695, in execute\n [ComfyUI] sam3_model = get_or_build_model(sam3_model_config)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\n [ComfyUI] from .sam3_model_patcher import SAM3UnifiedModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\n [ComfyUI] from comfy.model_patcher import ModelPatcher\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\n [ComfyUI] import comfy.ldm.hidream_o1.model\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\n [ComfyUI] from comfy.text_encoders.qwen35 import Qwen35VisionModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\n [ComfyUI] from comfy import sd1_clip\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\n [ComfyUI] from transformers import CLIPTokenizer\n [ComfyUI] ModuleNotFoundError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Prompt executed in 1.40 seconds\n Node executed (1 total), capturing...\n Frame 2 saved (frame_001.jpg, t=2.2s)\n [capture-node] freeze=55ms shot=416ms unfreeze=0ms saved=True\n Execution complete (t=2.2s)\n Execution error: {'prompt_id': 'cd1d55ec-d5cf-4c3f-a55f-f3280bc4fc6b', 'node_id': '27', 'node_type': 'SAM3MultipromptSegmentation', 'executed': ['12', '20', '1'], 'exception_message': 'No module named \\'transformers\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py\", line 695, in execute\\n sam3_model = get_or_build_model(sam3_model_config)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\\n from .sam3_model_patcher import SAM3UnifiedModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\\n from comfy.model_patcher import ModelPatcher\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\\n import comfy.ldm.hidream_o1.model\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\\n from comfy import sd1_clip\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\\n from transformers import CLIPTokenizer\\nModuleNotFoundError: No module named \\'transformers\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'refinement_iterations': [0], 'use_multimask': [False], 'sam3_model_config': [\"{'checkpoint_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors', 'bpe_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3/bpe_simple_vocab_16e6.txt.gz', 'precision': 'fp32', 'dtype': 'fp32', 'compile': False}\"], 'image': ['tensor([[[[0.9176, 0.8392, 0.7333],\\n [0.9294, 0.8471, 0.7412],\\n [0.9176, 0.8353, 0.7294],\\n ...,\\n [0.8078, 0.6627, 0.4902],\\n [0.8039, 0.6588, 0.4863],\\n [0.8157, 0.6706, 0.4980]],\\n\\n [[0.9137, 0.8353, 0.7294],\\n [0.9216, 0.8392, 0.7333],\\n [0.9176, 0.8353, 0.7294],\\n ...,\\n [0.8039, 0.6588, 0.4863],\\n [0.8039, 0.6588, 0.4863],\\n [0.8118, 0.6667, 0.4941]],\\n\\n [[0.9137, 0.8314, 0.7255],\\n [0.9137, 0.8314, 0.7255],\\n [0.9176, 0.8353, 0.7294],\\n ...,\\n [0.8078, 0.6627, 0.4902],\\n [0.8118, 0.6667, 0.4941],\\n [0.8039, 0.6588, 0.4863]],\\n\\n ...,\\n\\n [[0.8667, 0.6784, 0.4902],\\n [0.8706, 0.6824, 0.4941],\\n [0.8706, 0.6824, 0.4941],\\n ...,\\n [0.6471, 0.4431, 0.2549],\\n [0.6392, 0.4353, 0.2471],\\n [0.6471, 0.4431, 0.2549]],\\n\\n [[0.8588, 0.6706, 0.4824],\\n [0.8667, 0.6784, 0.4902],\\n [0.8706, 0.6824, 0.4941],\\n ...,\\n [0.6431, 0.4392, 0.2510],\\n [0.6471, 0.4431, 0.2549],\\n [0.6549, 0.4510, 0.2627]],\\n\\n [[0.8627, 0.6745, 0.4863],\\n [0.8667, 0.6784, 0.4902],\\n [0.8784, 0.6902, 0.5020],\\n ...,\\n [0.6353, 0.4314, 0.2431],\\n [0.6431, 0.4392, 0.2510],\\n [0.6392, 0.4353, 0.2471]]]])'], 'multi_prompts': [\"[{'id': 0, 'positive_points': {'points': [[0.7518972528753959, 0.6355044797738758], [0.7340045522905485, 0.6593619024052091], [0.7021953068063758, 0.6623440802341257], [0.6902668397498108, 0.677254969378709], [0.668397983479442, 0.6742727915497924], [0.7180999295484621, 0.6176114128003758], [0.7180999295484621, 0.572878745366626], [0.7439449415043526, 0.5311282557617927], [0.7240641630767446, 0.5609500340509593], [0.6982191511208541, 0.5609500340509593]], 'labels': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.7141237738629407, 0.6056827014847093, 0.15109391604982114, 0.19085938105066613]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 1, 'positive_points': {'points': [[0.6513952517072837, 0.6001522443905642], [0.6354008929467748, 0.6921217188777309], [0.6433980723270292, 0.8680633222444846], [0.8859791801947458, 0.884058013459644], [0.9046392654153393, 0.6041509171943541], [0.9046392654153393, 0.5441708251375063], [0.8060073863922018, 0.5201787883147672]], 'labels': [1, 1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [[0.7180384132094035, 0.5921548987829846], [0.7180384132094035, 0.5921548987829846], [0.7393642248900819, 0.6601323364474121], [0.7393642248900819, 0.6601323364474121], [0.7446956778102515, 0.6841243732701512], [0.7446956778102515, 0.6841243732701512], [0.670055336927877, 0.6721283548587816], [0.670055336927877, 0.6721283548587816], [0.6913811486085556, 0.608149589998144], [0.6913811486085556, 0.608149589998144], [0.6887154221484707, 0.552168170745086], [0.6887154221484707, 0.552168170745086], [0.7100412338291491, 0.552168170745086], [0.7100412338291491, 0.552168170745086], [0.7366984984299972, 0.552168170745086], [0.7366984984299972, 0.552168170745086]], 'labels': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}, 'positive_boxes': {'boxes': [[0.7713529424110994, 0.7141144192985751, 0.31455572229000606, 0.4198606443979348]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 2, 'positive_points': {'points': [[0.5279788816577594, 0.8586378093779201], [0.5097671062510242, 0.6517998210195123], [0.4733435554375539, 0.64789721746558], [0.37968299620291596, 0.64789721746558], [0.39529308940868896, 0.8313195845003946], [0.5565973858683432, 0.8586378093779201], [0.569605796873154, 0.6439946139116478]], 'labels': [1, 1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [[0.4863519664423647, 0.7415597027599534], [0.4863519664423647, 0.7415597027599534], [0.4837502842414026, 0.8508326022700556], [0.4837502842414026, 0.8508326022700556], [0.4473267334279323, 0.8664430164857846], [0.4473267334279323, 0.8664430164857846], [0.43431832242312146, 0.628384199695919], [0.43431832242312146, 0.628384199695919], [0.5123687884519864, 0.5893581641565967], [0.5123687884519864, 0.5893581641565967], [0.5019620596481378, 0.6361894068037834], [0.5019620596481378, 0.6361894068037834], [0.4291149580211971, 0.6400920103577157], [0.4291149580211971, 0.6400920103577157]], 'labels': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}, 'positive_boxes': {'boxes': [[0.47724607873899716, 0.7591214187526485, 0.21593962267985972, 0.24586402389773]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 3, 'positive_points': {'points': [[0.43642532993691785, 0.595717523200948]], 'labels': [1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.4324084720788661, 0.6137937552745099, 0.06426972572882772, 0.07230492829424773]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 4, 'positive_points': {'points': [[0.5006950556657457, 0.595717523200948]], 'labels': [1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.5027034845947715, 0.5716158804361987, 0.09238773073518991, 0.1687114993532448]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 5, 'positive_points': {'points': [[0.9264819886192297, 0.384828149009392], [0.7939256793035224, 0.37880273831820466], [0.7939256793035224, 0.11368466790596292], [0.9304988464772813, 0.10765925721477561], [0.874262836464557, 0.22214206034733455], [0.8501616893162467, 0.22214206034733455], [0.846144831458195, 0.31854863140633155], [0.8983639836128675, 0.3004723993327696], [0.8943471257548158, 0.20406582827377262], [0.8943471257548158, 0.12573548928833755], [0.8421279736001431, 0.1558625427442741], [0.830077400025988, 0.28842157795039497], [0.8220436843098845, 0.33059945278870617]], 'labels': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.8662291207484536, 0.25829452449445844, 0.18477546147037982, 0.31332135594174026]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 6, 'positive_points': {'points': [[0.7045792285036274, 0.9568116711293354], [0.6789425589101554, 0.9568116711293354], [0.6569682706871793, 0.9348369322210276], [0.6716177961691634, 0.9293432474939506], [0.6569682706871793, 0.9403306169481045], [0.7082416098741234, 0.9403306169481045]], 'labels': [1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.6789425589101554, 0.943077459311643, 0.10254667837388842, 0.07141790145200044]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}]\"]}, 'current_outputs': ['12', '26', '1', '24', '4', '27', '3', '20', '23', '22'], 'timestamp': 1778659234775}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'cd1d55ec-d5cf-4c3f-a55f-f3280bc4fc6b', 'node_id': '27', 'node_type': 'SAM3MultipromptSegmentation', 'executed': ['12', '20', '1'], 'exception_message': 'No module named \\'transformers\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/segmentation.py\", line 695, in execute\\n sam3_model = get_or_build_model(sam3_model_config)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\\n from .sam3_model_patcher import SAM3UnifiedModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\\n from comfy.model_patcher import ModelPatcher\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\\n import comfy.ldm.hidream_o1.model\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\\n from comfy import sd1_clip\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\\n from transformers import CLIPTokenizer\\nModuleNotFoundError: No module named \\'transformers\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'refinement_iterations': [0], 'use_multimask': [False], 'sam3_model_config': [\"{'checkpoint_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors', 'bpe_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3/bpe_simple_vocab_16e6.txt.gz', 'precision': 'fp32', 'dtype': 'fp32', 'compile': False}\"], 'image': ['tensor([[[[0.9176, 0.8392, 0.7333],\\n [0.9294, 0.8471, 0.7412],\\n [0.9176, 0.8353, 0.7294],\\n ...,\\n [0.8078, 0.6627, 0.4902],\\n [0.8039, 0.6588, 0.4863],\\n [0.8157, 0.6706, 0.4980]],\\n\\n [[0.9137, 0.8353, 0.7294],\\n [0.9216, 0.8392, 0.7333],\\n [0.9176, 0.8353, 0.7294],\\n ...,\\n [0.8039, 0.6588, 0.4863],\\n [0.8039, 0.6588, 0.4863],\\n [0.8118, 0.6667, 0.4941]],\\n\\n [[0.9137, 0.8314, 0.7255],\\n [0.9137, 0.8314, 0.7255],\\n [0.9176, 0.8353, 0.7294],\\n ...,\\n [0.8078, 0.6627, 0.4902],\\n [0.8118, 0.6667, 0.4941],\\n [0.8039, 0.6588, 0.4863]],\\n\\n ...,\\n\\n [[0.8667, 0.6784, 0.4902],\\n [0.8706, 0.6824, 0.4941],\\n [0.8706, 0.6824, 0.4941],\\n ...,\\n [0.6471, 0.4431, 0.2549],\\n [0.6392, 0.4353, 0.2471],\\n [0.6471, 0.4431, 0.2549]],\\n\\n [[0.8588, 0.6706, 0.4824],\\n [0.8667, 0.6784, 0.4902],\\n [0.8706, 0.6824, 0.4941],\\n ...,\\n [0.6431, 0.4392, 0.2510],\\n [0.6471, 0.4431, 0.2549],\\n [0.6549, 0.4510, 0.2627]],\\n\\n [[0.8627, 0.6745, 0.4863],\\n [0.8667, 0.6784, 0.4902],\\n [0.8784, 0.6902, 0.5020],\\n ...,\\n [0.6353, 0.4314, 0.2431],\\n [0.6431, 0.4392, 0.2510],\\n [0.6392, 0.4353, 0.2471]]]])'], 'multi_prompts': [\"[{'id': 0, 'positive_points': {'points': [[0.7518972528753959, 0.6355044797738758], [0.7340045522905485, 0.6593619024052091], [0.7021953068063758, 0.6623440802341257], [0.6902668397498108, 0.677254969378709], [0.668397983479442, 0.6742727915497924], [0.7180999295484621, 0.6176114128003758], [0.7180999295484621, 0.572878745366626], [0.7439449415043526, 0.5311282557617927], [0.7240641630767446, 0.5609500340509593], [0.6982191511208541, 0.5609500340509593]], 'labels': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.7141237738629407, 0.6056827014847093, 0.15109391604982114, 0.19085938105066613]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 1, 'positive_points': {'points': [[0.6513952517072837, 0.6001522443905642], [0.6354008929467748, 0.6921217188777309], [0.6433980723270292, 0.8680633222444846], [0.8859791801947458, 0.884058013459644], [0.9046392654153393, 0.6041509171943541], [0.9046392654153393, 0.5441708251375063], [0.8060073863922018, 0.5201787883147672]], 'labels': [1, 1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [[0.7180384132094035, 0.5921548987829846], [0.7180384132094035, 0.5921548987829846], [0.7393642248900819, 0.6601323364474121], [0.7393642248900819, 0.6601323364474121], [0.7446956778102515, 0.6841243732701512], [0.7446956778102515, 0.6841243732701512], [0.670055336927877, 0.6721283548587816], [0.670055336927877, 0.6721283548587816], [0.6913811486085556, 0.608149589998144], [0.6913811486085556, 0.608149589998144], [0.6887154221484707, 0.552168170745086], [0.6887154221484707, 0.552168170745086], [0.7100412338291491, 0.552168170745086], [0.7100412338291491, 0.552168170745086], [0.7366984984299972, 0.552168170745086], [0.7366984984299972, 0.552168170745086]], 'labels': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}, 'positive_boxes': {'boxes': [[0.7713529424110994, 0.7141144192985751, 0.31455572229000606, 0.4198606443979348]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 2, 'positive_points': {'points': [[0.5279788816577594, 0.8586378093779201], [0.5097671062510242, 0.6517998210195123], [0.4733435554375539, 0.64789721746558], [0.37968299620291596, 0.64789721746558], [0.39529308940868896, 0.8313195845003946], [0.5565973858683432, 0.8586378093779201], [0.569605796873154, 0.6439946139116478]], 'labels': [1, 1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [[0.4863519664423647, 0.7415597027599534], [0.4863519664423647, 0.7415597027599534], [0.4837502842414026, 0.8508326022700556], [0.4837502842414026, 0.8508326022700556], [0.4473267334279323, 0.8664430164857846], [0.4473267334279323, 0.8664430164857846], [0.43431832242312146, 0.628384199695919], [0.43431832242312146, 0.628384199695919], [0.5123687884519864, 0.5893581641565967], [0.5123687884519864, 0.5893581641565967], [0.5019620596481378, 0.6361894068037834], [0.5019620596481378, 0.6361894068037834], [0.4291149580211971, 0.6400920103577157], [0.4291149580211971, 0.6400920103577157]], 'labels': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}, 'positive_boxes': {'boxes': [[0.47724607873899716, 0.7591214187526485, 0.21593962267985972, 0.24586402389773]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 3, 'positive_points': {'points': [[0.43642532993691785, 0.595717523200948]], 'labels': [1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.4324084720788661, 0.6137937552745099, 0.06426972572882772, 0.07230492829424773]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 4, 'positive_points': {'points': [[0.5006950556657457, 0.595717523200948]], 'labels': [1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.5027034845947715, 0.5716158804361987, 0.09238773073518991, 0.1687114993532448]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 5, 'positive_points': {'points': [[0.9264819886192297, 0.384828149009392], [0.7939256793035224, 0.37880273831820466], [0.7939256793035224, 0.11368466790596292], [0.9304988464772813, 0.10765925721477561], [0.874262836464557, 0.22214206034733455], [0.8501616893162467, 0.22214206034733455], [0.846144831458195, 0.31854863140633155], [0.8983639836128675, 0.3004723993327696], [0.8943471257548158, 0.20406582827377262], [0.8943471257548158, 0.12573548928833755], [0.8421279736001431, 0.1558625427442741], [0.830077400025988, 0.28842157795039497], [0.8220436843098845, 0.33059945278870617]], 'labels': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.8662291207484536, 0.25829452449445844, 0.18477546147037982, 0.31332135594174026]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}, {'id': 6, 'positive_points': {'points': [[0.7045792285036274, 0.9568116711293354], [0.6789425589101554, 0.9568116711293354], [0.6569682706871793, 0.9348369322210276], [0.6716177961691634, 0.9293432474939506], [0.6569682706871793, 0.9403306169481045], [0.7082416098741234, 0.9403306169481045]], 'labels': [1, 1, 1, 1, 1, 1]}, 'negative_points': {'points': [], 'labels': []}, 'positive_boxes': {'boxes': [[0.6789425589101554, 0.943077459311643, 0.10254667837388842, 0.07141790145200044]], 'labels': [True]}, 'negative_boxes': {'boxes': [], 'labels': []}}]\"]}, 'current_outputs': ['12', '26', '1', '24', '4', '27', '3', '20', '23', '22'], 'timestamp': 1778659234775}\n Details: Workflow: /tmp/comfy-test-run-_q9m7yot/ComfyUI-SAM3/workflows/scene_seg.json\nNode error: SAM3MultipromptSegmentation", "hardware": {"os": "Linux-6.17.0-1010-azure-x86_64-with-glibc2.39", "cpu": "AMD EPYC 7763 64-Core Processor"}}, "scene_seg_interactive": {"src": "", "title": "scene_seg_interactive", "status": "fail", "duration": "7.57", "log": "Capturing execution frames: scene_seg_interactive.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n Queuing workflow for execution...\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 1: LoadImage\n [ComfyUI] Inputs: {\"image\": \"image.png\"}\n [ComfyUI] Node 4: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"26\", 0]}\n [ComfyUI] Node 12: LoadSAM3Model\n [ComfyUI] Inputs: {\"precision\": \"auto\", \"compile\": false}\n [ComfyUI] Node 26: SAM3InteractiveCollector\n [ComfyUI] Inputs: {\"multi_prompts_store\": \"[{\\\"positive_points\\\":[{\\\"x\\\":3348.288109906738,\\\"y\\\":2452.2208696844737}],\\\"negative_points\\\":[],\\\"positive_boxes\\\":[],\\\"negative_boxes\\\":[],\\\"name\\\":\\\"Prompt 1\\\"},{\\\"positiv\n [ComfyUI] Generated prompt_id: e65cfe57-2660-40b4-8696-0aef267f6843\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running LoadSAM3Model: precision: 'auto', compile: False\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.LoadSAM3Model.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-SAM3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=9 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] LoadSAM3Model done (0.01s): result: NodeOutput\n [ComfyUI] [comfy-env] Running SAM3InteractiveCollector: multi_prompts_store: '[{\"positive_points\":[{\"x\":3348.288109906738,\"y\":2452.220..., sam3_model_config: dict, image: torch.float32 [1,4480,6720,3] cpu, unique_id: '26'\n [ComfyUI] [SubprocessWorker] call_method: nodes.sam3_interactive.SAM3InteractiveCollector.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-SAM3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-SAM3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'image' shape: torch.Size([1, 4480, 6720, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=10 sending call_method\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 4480, 6720, 3]\n [ComfyUI] [worker:ComfyUI-SAM3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 4480, 6720, 3])\n [ComfyUI] [SubprocessWorker] got response: error\n [ComfyUI] !!! Exception during processing !!! No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_interactive.py\", line 667, in execute\n [ComfyUI] sam3_model = get_or_build_model(sam3_model_config)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\n [ComfyUI] from .sam3_model_patcher import SAM3UnifiedModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\n [ComfyUI] from comfy.model_patcher import ModelPatcher\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\n [ComfyUI] import comfy.ldm.hidream_o1.model\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\n [ComfyUI] from comfy.text_encoders.qwen35 import Qwen35VisionModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\n [ComfyUI] from comfy import sd1_clip\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\n [ComfyUI] from transformers import CLIPTokenizer\n [ComfyUI] ModuleNotFoundError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\n [ComfyUI] raise WorkerError(\n [ComfyUI] comfy_env.isolation.workers.base.WorkerError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_interactive.py\", line 667, in execute\n [ComfyUI] sam3_model = get_or_build_model(sam3_model_config)\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\n [ComfyUI] from .sam3_model_patcher import SAM3UnifiedModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\n [ComfyUI] from comfy.model_patcher import ModelPatcher\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\n [ComfyUI] import comfy.ldm.hidream_o1.model\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\n [ComfyUI] from comfy.text_encoders.qwen35 import Qwen35VisionModel\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\n [ComfyUI] from comfy import sd1_clip\n [ComfyUI] File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\n [ComfyUI] from transformers import CLIPTokenizer\n [ComfyUI] ModuleNotFoundError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Prompt executed in 0.94 seconds\n Execution complete (t=1.2s)\n Execution error: {'prompt_id': '9b1e93fa-be7f-4560-af3e-7d3b83b91255', 'node_id': '26', 'node_type': 'SAM3InteractiveCollector', 'executed': ['12', '1'], 'exception_message': 'No module named \\'transformers\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_interactive.py\", line 667, in execute\\n sam3_model = get_or_build_model(sam3_model_config)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\\n from .sam3_model_patcher import SAM3UnifiedModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\\n from comfy.model_patcher import ModelPatcher\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\\n import comfy.ldm.hidream_o1.model\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\\n from comfy import sd1_clip\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\\n from transformers import CLIPTokenizer\\nModuleNotFoundError: No module named \\'transformers\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'multi_prompts_store': ['[{\"positive_points\":[{\"x\":3348.288109906738,\"y\":2452.2208696844737}],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 1\"},{\"positive_points\":[],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 2\"}]'], 'sam3_model_config': [\"{'checkpoint_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors', 'bpe_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3/bpe_simple_vocab_16e6.txt.gz', 'precision': 'auto', 'dtype': 'fp32', 'compile': False}\"], 'image': ['tensor([[[[0.9176, 0.8392, 0.7333],\\n [0.9294, 0.8471, 0.7412],\\n [0.9176, 0.8353, 0.7294],\\n ...,\\n [0.8078, 0.6627, 0.4902],\\n [0.8039, 0.6588, 0.4863],\\n [0.8157, 0.6706, 0.4980]],\\n\\n [[0.9137, 0.8353, 0.7294],\\n [0.9216, 0.8392, 0.7333],\\n [0.9176, 0.8353, 0.7294],\\n ...,\\n [0.8039, 0.6588, 0.4863],\\n [0.8039, 0.6588, 0.4863],\\n [0.8118, 0.6667, 0.4941]],\\n\\n [[0.9137, 0.8314, 0.7255],\\n [0.9137, 0.8314, 0.7255],\\n [0.9176, 0.8353, 0.7294],\\n ...,\\n [0.8078, 0.6627, 0.4902],\\n [0.8118, 0.6667, 0.4941],\\n [0.8039, 0.6588, 0.4863]],\\n\\n ...,\\n\\n [[0.8667, 0.6784, 0.4902],\\n [0.8706, 0.6824, 0.4941],\\n [0.8706, 0.6824, 0.4941],\\n ...,\\n [0.6471, 0.4431, 0.2549],\\n [0.6392, 0.4353, 0.2471],\\n [0.6471, 0.4431, 0.2549]],\\n\\n [[0.8588, 0.6706, 0.4824],\\n [0.8667, 0.6784, 0.4902],\\n [0.8706, 0.6824, 0.4941],\\n ...,\\n [0.6431, 0.4392, 0.2510],\\n [0.6471, 0.4431, 0.2549],\\n [0.6549, 0.4510, 0.2627]],\\n\\n [[0.8627, 0.6745, 0.4863],\\n [0.8667, 0.6784, 0.4902],\\n [0.8784, 0.6902, 0.5020],\\n ...,\\n [0.6353, 0.4314, 0.2431],\\n [0.6431, 0.4392, 0.2510],\\n [0.6392, 0.4353, 0.2471]]]])'], 'unique_id': ['26'], 'prompt': ['{\\'1\\': {\\'inputs\\': {\\'image\\': \\'image.png\\'}, \\'class_type\\': \\'LoadImage\\', \\'_meta\\': {\\'title\\': \\'Load Image\\'}, \\'is_changed\\': [\\'72785412200dcb9f5c6bc4eaa3018172293f67836627708e6bce78150109af15\\']}, \\'4\\': {\\'inputs\\': {\\'mask\\': [\\'26\\', 0]}, \\'class_type\\': \\'MaskPreview\\', \\'_meta\\': {\\'title\\': \\'Preview Mask\\'}}, \\'12\\': {\\'inputs\\': {\\'precision\\': \\'auto\\', \\'compile\\': False}, \\'class_type\\': \\'LoadSAM3Model\\', \\'_meta\\': {\\'title\\': \\'(Down)Load SAM3 Model\\'}}, \\'26\\': {\\'inputs\\': {\\'multi_prompts_store\\': \\'[{\"positive_points\":[{\"x\":3348.288109906738,\"y\":2452.2208696844737}],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 1\"},{\"positive_points\":[],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 2\"}]\\', \\'canvas\\': \\'\\', \\'sam3_model_config\\': [\\'12\\', 0], \\'image\\': [\\'1\\', 0]}, \\'class_type\\': \\'SAM3InteractiveCollector\\', \\'_meta\\': {\\'title\\': \\'SAM3 Interactive Collector\\'}}}'], 'extra_pnginfo': ['{\\'workflow\\': {\\'id\\': \\'9e5b67d0-53dc-42aa-bdb7-541f1939e114\\', \\'revision\\': 0, \\'last_node_id\\': 26, \\'last_link_id\\': 57, \\'nodes\\': [{\\'id\\': 12, \\'type\\': \\'LoadSAM3Model\\', \\'pos\\': [619.424717299163, 120.03196674570798], \\'size\\': [270, 134.65625], \\'flags\\': {}, \\'order\\': 0, \\'mode\\': 0, \\'inputs\\': [], \\'outputs\\': [{\\'name\\': \\'sam3_model_config\\', \\'type\\': \\'SAM3_MODEL_CONFIG\\', \\'links\\': [55]}], \\'properties\\': {\\'Node name for S&R\\': \\'LoadSAM3Model\\', \\'cnr_id\\': \\'comfyui-sam3\\', \\'ver\\': \\'82c8e4f88a6c0a9242712b827e05f5e67c4a90a7\\', \\'aux_id\\': \\'PozzettiAndrea/ComfyUI-SAM3\\'}, \\'widgets_values\\': [\\'auto\\', False]}, {\\'id\\': 1, \\'type\\': \\'LoadImage\\', \\'pos\\': [488.1468326416015, 306.42935311583375], \\'size\\': [274.078125, 340], \\'flags\\': {}, \\'order\\': 1, \\'mode\\': 0, \\'inputs\\': [], \\'outputs\\': [{\\'name\\': \\'IMAGE\\', \\'type\\': \\'IMAGE\\', \\'links\\': [56]}, {\\'name\\': \\'MASK\\', \\'type\\': \\'MASK\\', \\'links\\': None}], \\'properties\\': {\\'Node name for S&R\\': \\'LoadImage\\', \\'cnr_id\\': \\'comfy-core\\', \\'ver\\': \\'0.3.72\\'}, \\'widgets_values\\': [\\'image.png\\', \\'image\\']}, {\\'id\\': 26, \\'type\\': \\'SAM3InteractiveCollector\\', \\'pos\\': [1010.2283851719152, 178.893439578179], \\'size\\': [400, 569], \\'flags\\': {}, \\'order\\': 2, \\'mode\\': 0, \\'inputs\\': [{\\'name\\': \\'sam3_model_config\\', \\'type\\': \\'SAM3_MODEL_CONFIG\\', \\'link\\': 55}, {\\'name\\': \\'image\\', \\'type\\': \\'IMAGE\\', \\'link\\': 56}], \\'outputs\\': [{\\'name\\': \\'masks\\', \\'type\\': \\'MASK\\', \\'links\\': [57]}, {\\'name\\': \\'visualization\\', \\'type\\': \\'IMAGE\\', \\'links\\': None}, {\\'name\\': \\'multi_prompts\\', \\'type\\': \\'SAM3_MULTI_PROMPTS\\', \\'links\\': None}], \\'properties\\': {\\'Node name for S&R\\': \\'SAM3InteractiveCollector\\', \\'cnr_id\\': \\'comfyui-sam3\\', \\'ver\\': \\'c7636fa4a0b8c0fb07aa01f0c7749ebd5f9c92f3\\'}, \\'widgets_values\\': [\\'[{\"positive_points\":[{\"x\":3348.288109906738,\"y\":2452.2208696844737}],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 1\"},{\"positive_points\":[],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 2\"}]\\', \\'\\']}, {\\'id\\': 4, \\'type\\': \\'MaskPreview\\', \\'pos\\': [1509.2821361303925, 266.63965000030805], \\'size\\': [225, 258], \\'flags\\': {}, \\'order\\': 3, \\'mode\\': 0, \\'inputs\\': [{\\'name\\': \\'mask\\', \\'type\\': \\'MASK\\', \\'link\\': 57}], \\'outputs\\': [], \\'properties\\': {\\'Node name for S&R\\': \\'MaskPreview\\', \\'cnr_id\\': \\'comfy-core\\', \\'ver\\': \\'0.3.72\\'}, \\'widgets_values\\': []}], \\'links\\': [[55, 12, 0, 26, 0, \\'SAM3_MODEL_CONFIG\\'], [56, 1, 0, 26, 1, \\'IMAGE\\'], [57, 26, 0, 4, 0, \\'MASK\\']], \\'groups\\': [], \\'config\\': {}, \\'extra\\': {\\'ds\\': {\\'scale\\': 1.2385275239783924, \\'offset\\': [-570.0951003265552, 14.632739985499132]}, \\'frontendVersion\\': \\'1.43.18\\', \\'workflowRendererVersion\\': \\'LG\\', \\'VHS_latentpreview\\': False, \\'VHS_latentpreviewrate\\': 0, \\'VHS_MetadataImage\\': True, \\'VHS_KeepIntermediate\\': True}, \\'version\\': 0.4}}']}, 'current_outputs': ['12', '26', '1', '4'], 'timestamp': 1778659243895}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': '9b1e93fa-be7f-4560-af3e-7d3b83b91255', 'node_id': '26', 'node_type': 'SAM3InteractiveCollector', 'executed': ['12', '1'], 'exception_message': 'No module named \\'transformers\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_6eayd_rl/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_interactive.py\", line 667, in execute\\n sam3_model = get_or_build_model(sam3_model_config)\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/_model_cache.py\", line 31, in get_or_build_model\\n from .sam3_model_patcher import SAM3UnifiedModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3_model_patcher.py\", line 14, in <module>\\n from comfy.model_patcher import ModelPatcher\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/model_base.py\", line 61, in <module>\\n import comfy.ldm.hidream_o1.model\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\\n from comfy import sd1_clip\\n File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\\n from transformers import CLIPTokenizer\\nModuleNotFoundError: No module named \\'transformers\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n', ' File \"/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/.venv/lib/python3.10/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'multi_prompts_store': ['[{\"positive_points\":[{\"x\":3348.288109906738,\"y\":2452.2208696844737}],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 1\"},{\"positive_points\":[],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 2\"}]'], 'sam3_model_config': [\"{'checkpoint_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/models/sam3/sam3.safetensors', 'bpe_path': '/home/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/SAM3-0758/ComfyUI/custom_nodes/ComfyUI-SAM3/nodes/sam3/bpe_simple_vocab_16e6.txt.gz', 'precision': 'auto', 'dtype': 'fp32', 'compile': False}\"], 'image': ['tensor([[[[0.9176, 0.8392, 0.7333],\\n [0.9294, 0.8471, 0.7412],\\n [0.9176, 0.8353, 0.7294],\\n ...,\\n [0.8078, 0.6627, 0.4902],\\n [0.8039, 0.6588, 0.4863],\\n [0.8157, 0.6706, 0.4980]],\\n\\n [[0.9137, 0.8353, 0.7294],\\n [0.9216, 0.8392, 0.7333],\\n [0.9176, 0.8353, 0.7294],\\n ...,\\n [0.8039, 0.6588, 0.4863],\\n [0.8039, 0.6588, 0.4863],\\n [0.8118, 0.6667, 0.4941]],\\n\\n [[0.9137, 0.8314, 0.7255],\\n [0.9137, 0.8314, 0.7255],\\n [0.9176, 0.8353, 0.7294],\\n ...,\\n [0.8078, 0.6627, 0.4902],\\n [0.8118, 0.6667, 0.4941],\\n [0.8039, 0.6588, 0.4863]],\\n\\n ...,\\n\\n [[0.8667, 0.6784, 0.4902],\\n [0.8706, 0.6824, 0.4941],\\n [0.8706, 0.6824, 0.4941],\\n ...,\\n [0.6471, 0.4431, 0.2549],\\n [0.6392, 0.4353, 0.2471],\\n [0.6471, 0.4431, 0.2549]],\\n\\n [[0.8588, 0.6706, 0.4824],\\n [0.8667, 0.6784, 0.4902],\\n [0.8706, 0.6824, 0.4941],\\n ...,\\n [0.6431, 0.4392, 0.2510],\\n [0.6471, 0.4431, 0.2549],\\n [0.6549, 0.4510, 0.2627]],\\n\\n [[0.8627, 0.6745, 0.4863],\\n [0.8667, 0.6784, 0.4902],\\n [0.8784, 0.6902, 0.5020],\\n ...,\\n [0.6353, 0.4314, 0.2431],\\n [0.6431, 0.4392, 0.2510],\\n [0.6392, 0.4353, 0.2471]]]])'], 'unique_id': ['26'], 'prompt': ['{\\'1\\': {\\'inputs\\': {\\'image\\': \\'image.png\\'}, \\'class_type\\': \\'LoadImage\\', \\'_meta\\': {\\'title\\': \\'Load Image\\'}, \\'is_changed\\': [\\'72785412200dcb9f5c6bc4eaa3018172293f67836627708e6bce78150109af15\\']}, \\'4\\': {\\'inputs\\': {\\'mask\\': [\\'26\\', 0]}, \\'class_type\\': \\'MaskPreview\\', \\'_meta\\': {\\'title\\': \\'Preview Mask\\'}}, \\'12\\': {\\'inputs\\': {\\'precision\\': \\'auto\\', \\'compile\\': False}, \\'class_type\\': \\'LoadSAM3Model\\', \\'_meta\\': {\\'title\\': \\'(Down)Load SAM3 Model\\'}}, \\'26\\': {\\'inputs\\': {\\'multi_prompts_store\\': \\'[{\"positive_points\":[{\"x\":3348.288109906738,\"y\":2452.2208696844737}],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 1\"},{\"positive_points\":[],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 2\"}]\\', \\'canvas\\': \\'\\', \\'sam3_model_config\\': [\\'12\\', 0], \\'image\\': [\\'1\\', 0]}, \\'class_type\\': \\'SAM3InteractiveCollector\\', \\'_meta\\': {\\'title\\': \\'SAM3 Interactive Collector\\'}}}'], 'extra_pnginfo': ['{\\'workflow\\': {\\'id\\': \\'9e5b67d0-53dc-42aa-bdb7-541f1939e114\\', \\'revision\\': 0, \\'last_node_id\\': 26, \\'last_link_id\\': 57, \\'nodes\\': [{\\'id\\': 12, \\'type\\': \\'LoadSAM3Model\\', \\'pos\\': [619.424717299163, 120.03196674570798], \\'size\\': [270, 134.65625], \\'flags\\': {}, \\'order\\': 0, \\'mode\\': 0, \\'inputs\\': [], \\'outputs\\': [{\\'name\\': \\'sam3_model_config\\', \\'type\\': \\'SAM3_MODEL_CONFIG\\', \\'links\\': [55]}], \\'properties\\': {\\'Node name for S&R\\': \\'LoadSAM3Model\\', \\'cnr_id\\': \\'comfyui-sam3\\', \\'ver\\': \\'82c8e4f88a6c0a9242712b827e05f5e67c4a90a7\\', \\'aux_id\\': \\'PozzettiAndrea/ComfyUI-SAM3\\'}, \\'widgets_values\\': [\\'auto\\', False]}, {\\'id\\': 1, \\'type\\': \\'LoadImage\\', \\'pos\\': [488.1468326416015, 306.42935311583375], \\'size\\': [274.078125, 340], \\'flags\\': {}, \\'order\\': 1, \\'mode\\': 0, \\'inputs\\': [], \\'outputs\\': [{\\'name\\': \\'IMAGE\\', \\'type\\': \\'IMAGE\\', \\'links\\': [56]}, {\\'name\\': \\'MASK\\', \\'type\\': \\'MASK\\', \\'links\\': None}], \\'properties\\': {\\'Node name for S&R\\': \\'LoadImage\\', \\'cnr_id\\': \\'comfy-core\\', \\'ver\\': \\'0.3.72\\'}, \\'widgets_values\\': [\\'image.png\\', \\'image\\']}, {\\'id\\': 26, \\'type\\': \\'SAM3InteractiveCollector\\', \\'pos\\': [1010.2283851719152, 178.893439578179], \\'size\\': [400, 569], \\'flags\\': {}, \\'order\\': 2, \\'mode\\': 0, \\'inputs\\': [{\\'name\\': \\'sam3_model_config\\', \\'type\\': \\'SAM3_MODEL_CONFIG\\', \\'link\\': 55}, {\\'name\\': \\'image\\', \\'type\\': \\'IMAGE\\', \\'link\\': 56}], \\'outputs\\': [{\\'name\\': \\'masks\\', \\'type\\': \\'MASK\\', \\'links\\': [57]}, {\\'name\\': \\'visualization\\', \\'type\\': \\'IMAGE\\', \\'links\\': None}, {\\'name\\': \\'multi_prompts\\', \\'type\\': \\'SAM3_MULTI_PROMPTS\\', \\'links\\': None}], \\'properties\\': {\\'Node name for S&R\\': \\'SAM3InteractiveCollector\\', \\'cnr_id\\': \\'comfyui-sam3\\', \\'ver\\': \\'c7636fa4a0b8c0fb07aa01f0c7749ebd5f9c92f3\\'}, \\'widgets_values\\': [\\'[{\"positive_points\":[{\"x\":3348.288109906738,\"y\":2452.2208696844737}],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 1\"},{\"positive_points\":[],\"negative_points\":[],\"positive_boxes\":[],\"negative_boxes\":[],\"name\":\"Prompt 2\"}]\\', \\'\\']}, {\\'id\\': 4, \\'type\\': \\'MaskPreview\\', \\'pos\\': [1509.2821361303925, 266.63965000030805], \\'size\\': [225, 258], \\'flags\\': {}, \\'order\\': 3, \\'mode\\': 0, \\'inputs\\': [{\\'name\\': \\'mask\\', \\'type\\': \\'MASK\\', \\'link\\': 57}], \\'outputs\\': [], \\'properties\\': {\\'Node name for S&R\\': \\'MaskPreview\\', \\'cnr_id\\': \\'comfy-core\\', \\'ver\\': \\'0.3.72\\'}, \\'widgets_values\\': []}], \\'links\\': [[55, 12, 0, 26, 0, \\'SAM3_MODEL_CONFIG\\'], [56, 1, 0, 26, 1, \\'IMAGE\\'], [57, 26, 0, 4, 0, \\'MASK\\']], \\'groups\\': [], \\'config\\': {}, \\'extra\\': {\\'ds\\': {\\'scale\\': 1.2385275239783924, \\'offset\\': [-570.0951003265552, 14.632739985499132]}, \\'frontendVersion\\': \\'1.43.18\\', \\'workflowRendererVersion\\': \\'LG\\', \\'VHS_latentpreview\\': False, \\'VHS_latentpreviewrate\\': 0, \\'VHS_MetadataImage\\': True, \\'VHS_KeepIntermediate\\': True}, \\'version\\': 0.4}}']}, 'current_outputs': ['12', '26', '1', '4'], 'timestamp': 1778659243895}\n Details: Workflow: /tmp/comfy-test-run-_q9m7yot/ComfyUI-SAM3/workflows/scene_seg_interactive.json\nNode error: SAM3InteractiveCollector", "hardware": {"os": "Linux-6.17.0-1010-azure-x86_64-with-glibc2.39", "cpu": "AMD EPYC 7763 64-Core Processor"}}};
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const workflowNames = Object.keys(workflowData);
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const videoData = {};
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const inIframe = window !== window.top;
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let currentWorkflow = null;
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let playInterval = null;
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let originalLogContent = '';
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let currentFrameIndex = 0;
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let currentFrames = [];
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let currentTotalTime = 0;
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function openLightboxByName(name) {
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const w = workflowData[name];
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if (w) openLightbox(w.src, w.title, w.status, w.duration, w.log, w.hardware);
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}
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function openLightbox(src, title, status, duration, logContent, hardware) {
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document.getElementById('lightbox-img').src = src;
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document.getElementById('lightbox-title').textContent = title;
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currentWorkflow = title;
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originalLogContent = logContent;
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const badge = document.getElementById('lightbox-badge');
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badge.textContent = status;
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badge.className = 'lightbox-badge ' + status;
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document.getElementById('lightbox-duration').textContent = duration + 's';
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document.getElementById('lightbox-log').textContent = logContent || '(No log available)';
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|
|
const hwEl = document.getElementById('lightbox-hardware');
|
|
if (hardware) {
|
|
const parts = [];
|
|
if (hardware.os) parts.push(hardware.os);
|
|
if (hardware.cpu) parts.push(hardware.cpu);
|
|
if (hardware.gpu) parts.push(hardware.gpu);
|
|
hwEl.textContent = parts.join(' | ');
|
|
} else {
|
|
hwEl.textContent = status === 'skipped' ? '(Did not run on this machine)' : '';
|
|
}
|
|
|
|
const data = videoData[title];
|
|
const videoPlayer = document.getElementById('video-player');
|
|
const lightboxImg = document.getElementById('lightbox-img');
|
|
const lightboxVideo = document.getElementById('lightbox-video');
|
|
|
|
// Reset both modes; the branch below activates one.
|
|
videoPlayer.classList.remove('active');
|
|
lightboxVideo.style.display = 'none';
|
|
lightboxVideo.removeAttribute('src');
|
|
lightboxImg.style.display = '';
|
|
|
|
if (data && data.mp4) {
|
|
// Playable mp4 (desktop runs). Show <video>, hide the
|
|
// frame-slideshow img + slider.
|
|
lightboxVideo.src = 'videos/' + encodeURIComponent(title) + '/' + data.mp4;
|
|
lightboxVideo.style.display = '';
|
|
lightboxImg.style.display = 'none';
|
|
} else if (data && data.frames && data.frames.length > 1) {
|
|
currentFrames = data.frames;
|
|
currentTotalTime = data.total_time || data.frames[data.frames.length - 1].time;
|
|
setupVideoSlider(data.frames, currentTotalTime);
|
|
updateVideoFrameByIndex(title, data.frames.length - 1);
|
|
videoPlayer.classList.add('active');
|
|
}
|
|
|
|
loadResourceGraph(title);
|
|
|
|
// Close image overlay if open
|
|
closeImgOverlay();
|
|
|
|
document.getElementById('lightbox').classList.add('active');
|
|
history.replaceState(null, '', '#' + encodeURIComponent(title));
|
|
|
|
// Notify parent frames for deep linking
|
|
if (inIframe) {
|
|
window.parent.postMessage({ type: 'comfytest-open', name: title }, '*');
|
|
}
|
|
}
|
|
|
|
function buildSliderRange(frames, totalTime) {
|
|
const range = { 'min': frames[0].time };
|
|
frames.forEach((frame, idx) => {
|
|
if (idx > 0 && idx < frames.length - 1) {
|
|
const pct = (frame.time / totalTime * 100).toFixed(1) + '%';
|
|
range[pct] = frame.time;
|
|
}
|
|
});
|
|
range['max'] = frames[frames.length - 1].time;
|
|
return range;
|
|
}
|
|
|
|
function setupVideoSlider(frames, totalTime) {
|
|
const sliderEl = document.getElementById('video-slider');
|
|
|
|
if (sliderEl.noUiSlider) {
|
|
sliderEl.noUiSlider.destroy();
|
|
}
|
|
|
|
const range = buildSliderRange(frames, totalTime);
|
|
|
|
noUiSlider.create(sliderEl, {
|
|
start: frames[frames.length - 1].time,
|
|
snap: true,
|
|
range: range,
|
|
pips: {
|
|
mode: 'range',
|
|
density: 100
|
|
}
|
|
});
|
|
|
|
sliderEl.noUiSlider.on('update', function(values) {
|
|
const time = parseFloat(values[0]);
|
|
const frameIdx = frames.findIndex(f => Math.abs(f.time - time) < 0.01);
|
|
if (frameIdx >= 0 && frameIdx !== currentFrameIndex) {
|
|
currentFrameIndex = frameIdx;
|
|
showFrame(currentWorkflow, frameIdx);
|
|
}
|
|
});
|
|
}
|
|
|
|
function showFrame(workflowName, frameIndex) {
|
|
const data = videoData[workflowName];
|
|
if (!data || !data.frames) return;
|
|
|
|
const frame = data.frames[frameIndex];
|
|
const img = document.getElementById('lightbox-img');
|
|
|
|
const isLastFrame = frameIndex === data.frames.length - 1;
|
|
if (isLastFrame && workflowData[workflowName] && workflowData[workflowName].src) {
|
|
img.src = workflowData[workflowName].src;
|
|
} else {
|
|
img.src = 'videos/' + workflowName + '/' + frame.file;
|
|
}
|
|
|
|
const counter = document.getElementById('video-frame-counter');
|
|
const totalTime = data.total_time || data.frames[data.frames.length - 1].time;
|
|
counter.textContent = frame.time.toFixed(1) + 's / ' + totalTime.toFixed(1) + 's';
|
|
|
|
const logEl = document.getElementById('lightbox-log');
|
|
if (frame.log) {
|
|
logEl.textContent = frame.log;
|
|
logEl.scrollTop = logEl.scrollHeight;
|
|
}
|
|
}
|
|
|
|
function updateVideoFrameByIndex(workflowName, frameIndex) {
|
|
currentFrameIndex = frameIndex;
|
|
showFrame(workflowName, frameIndex);
|
|
|
|
const sliderEl = document.getElementById('video-slider');
|
|
if (sliderEl.noUiSlider && currentFrames[frameIndex]) {
|
|
sliderEl.noUiSlider.set(currentFrames[frameIndex].time);
|
|
}
|
|
}
|
|
|
|
function toggleVideoPlay() {
|
|
const btn = document.getElementById('video-play-btn');
|
|
if (playInterval) {
|
|
clearInterval(playInterval);
|
|
playInterval = null;
|
|
btn.innerHTML = '▶ Play';
|
|
} else {
|
|
btn.innerHTML = '■ Stop';
|
|
playInterval = setInterval(() => {
|
|
if (!currentFrames.length) return;
|
|
currentFrameIndex = (currentFrameIndex + 1) % currentFrames.length;
|
|
updateVideoFrameByIndex(currentWorkflow, currentFrameIndex);
|
|
}, 500);
|
|
}
|
|
}
|
|
|
|
let resourceGraphState = null;
|
|
|
|
async function loadResourceGraph(workflowName) {
|
|
const graphContainer = document.getElementById('resource-graph');
|
|
const canvas = document.getElementById('resource-canvas');
|
|
const gpuLegend = document.getElementById('gpu-legend');
|
|
|
|
resourceGraphState = null;
|
|
|
|
try {
|
|
const csvResponse = await fetch('logs/' + workflowName + '_resources.csv');
|
|
|
|
if (!csvResponse.ok) {
|
|
graphContainer.classList.remove('active');
|
|
return;
|
|
}
|
|
|
|
const text = await csvResponse.text();
|
|
const allLines = text.trim().split('\n');
|
|
|
|
let totalRamGb = 32;
|
|
if (allLines[0].startsWith('#')) {
|
|
const metaMatch = allLines[0].match(/total_ram_gb=([\d.]+)/);
|
|
if (metaMatch) {
|
|
totalRamGb = parseFloat(metaMatch[1]);
|
|
}
|
|
}
|
|
|
|
const dataLines = allLines.slice(2);
|
|
|
|
if (dataLines.length < 2) {
|
|
graphContainer.classList.remove('active');
|
|
return;
|
|
}
|
|
|
|
const data = dataLines.map(line => {
|
|
const [t, ram, vram] = line.split(',');
|
|
return {
|
|
t: parseFloat(t),
|
|
ram: parseFloat(ram),
|
|
vram: vram ? parseFloat(vram) : null
|
|
};
|
|
});
|
|
|
|
const hasVram = data.some(d => d.vram !== null);
|
|
gpuLegend.style.display = hasVram ? 'flex' : 'none';
|
|
|
|
graphContainer.classList.add('active');
|
|
await new Promise(r => setTimeout(r, 10));
|
|
|
|
const ctx = canvas.getContext('2d');
|
|
const dpr = window.devicePixelRatio || 1;
|
|
const rect = canvas.getBoundingClientRect();
|
|
canvas.width = rect.width * dpr;
|
|
canvas.height = rect.height * dpr;
|
|
ctx.scale(dpr, dpr);
|
|
|
|
const w = rect.width;
|
|
const h = rect.height;
|
|
const padding = { top: 10, right: 40, bottom: 20, left: 45 };
|
|
const graphW = w - padding.left - padding.right;
|
|
const graphH = h - padding.top - padding.bottom;
|
|
|
|
const maxRam = Math.max(...data.map(d => d.ram), 0.5);
|
|
const maxVram = hasVram ? Math.max(...data.filter(d => d.vram !== null).map(d => d.vram), 0.5) : 1;
|
|
const maxTime = data[data.length - 1].t;
|
|
|
|
resourceGraphState = { data, padding, w, h, graphW, graphH, maxRam, maxVram, maxTime, hasVram, dpr };
|
|
|
|
drawResourceGraph();
|
|
} catch (e) {
|
|
console.error('Resource graph error:', e);
|
|
graphContainer.classList.remove('active');
|
|
}
|
|
}
|
|
|
|
function drawResourceGraph(hoverX) {
|
|
if (!resourceGraphState) return;
|
|
const { data, padding, w, h, graphW, graphH, maxRam, maxVram, maxTime, hasVram, dpr } = resourceGraphState;
|
|
|
|
const canvas = document.getElementById('resource-canvas');
|
|
const ctx = canvas.getContext('2d');
|
|
ctx.setTransform(dpr, 0, 0, dpr, 0, 0);
|
|
ctx.clearRect(0, 0, w, h);
|
|
|
|
// Grid lines
|
|
ctx.strokeStyle = '#1c2d44';
|
|
ctx.lineWidth = 0.5;
|
|
for (let i = 1; i < 4; i++) {
|
|
const y = padding.top + (graphH * i / 4);
|
|
ctx.beginPath();
|
|
ctx.moveTo(padding.left, y);
|
|
ctx.lineTo(w - padding.right, y);
|
|
ctx.stroke();
|
|
}
|
|
|
|
// Axes
|
|
ctx.strokeStyle = '#243656';
|
|
ctx.lineWidth = 1;
|
|
ctx.beginPath();
|
|
ctx.moveTo(padding.left, padding.top);
|
|
ctx.lineTo(padding.left, h - padding.bottom);
|
|
ctx.lineTo(w - padding.right, h - padding.bottom);
|
|
ctx.lineTo(w - padding.right, padding.top);
|
|
ctx.stroke();
|
|
|
|
// Left axis: RAM
|
|
ctx.fillStyle = '#3fb950';
|
|
ctx.font = '9px sans-serif';
|
|
ctx.textAlign = 'right';
|
|
const ramMax = Math.ceil(maxRam * 10) / 10;
|
|
ctx.fillText(ramMax.toFixed(1) + ' GB', padding.left - 3, padding.top + 4);
|
|
ctx.fillText('0', padding.left - 3, h - padding.bottom + 4);
|
|
|
|
// Right axis: VRAM (if present)
|
|
if (hasVram) {
|
|
ctx.fillStyle = '#d29922';
|
|
ctx.textAlign = 'left';
|
|
const vramMax = Math.ceil(maxVram * 10) / 10;
|
|
ctx.fillText(vramMax.toFixed(1) + ' GB', w - padding.right + 3, padding.top + 4);
|
|
ctx.fillText('0', w - padding.right + 3, h - padding.bottom + 4);
|
|
}
|
|
|
|
// Time labels
|
|
ctx.fillStyle = '#4a6282';
|
|
ctx.textAlign = 'center';
|
|
ctx.fillText('0s', padding.left, h - padding.bottom + 12);
|
|
ctx.fillText(maxTime.toFixed(0) + 's', w - padding.right, h - padding.bottom + 12);
|
|
|
|
function drawLine(values, maxVal, color) {
|
|
if (values.every(v => v === null || isNaN(v))) return;
|
|
ctx.strokeStyle = color;
|
|
ctx.lineWidth = 1.5;
|
|
ctx.beginPath();
|
|
let started = false;
|
|
data.forEach((d, i) => {
|
|
const val = values[i];
|
|
if (val === null || isNaN(val)) return;
|
|
const x = padding.left + (d.t / maxTime) * graphW;
|
|
const y = padding.top + (1 - val / maxVal) * graphH;
|
|
if (!started) { ctx.moveTo(x, y); started = true; }
|
|
else { ctx.lineTo(x, y); }
|
|
});
|
|
ctx.stroke();
|
|
}
|
|
|
|
drawLine(data.map(d => d.ram), ramMax, '#3fb950');
|
|
if (hasVram) {
|
|
drawLine(data.map(d => d.vram), Math.ceil(maxVram * 10) / 10, '#d29922');
|
|
}
|
|
|
|
// Hover crosshair
|
|
if (hoverX !== undefined && hoverX >= padding.left && hoverX <= w - padding.right) {
|
|
const timeAtCursor = ((hoverX - padding.left) / graphW) * maxTime;
|
|
let closest = data[0], closestDist = Infinity;
|
|
for (const d of data) {
|
|
const dist = Math.abs(d.t - timeAtCursor);
|
|
if (dist < closestDist) { closestDist = dist; closest = d; }
|
|
}
|
|
|
|
const snapX = padding.left + (closest.t / maxTime) * graphW;
|
|
|
|
// Vertical line
|
|
ctx.strokeStyle = 'rgba(230,237,243,0.2)';
|
|
ctx.lineWidth = 1;
|
|
ctx.beginPath();
|
|
ctx.moveTo(snapX, padding.top);
|
|
ctx.lineTo(snapX, h - padding.bottom);
|
|
ctx.stroke();
|
|
|
|
// Readout
|
|
ctx.font = '10px sans-serif';
|
|
ctx.textAlign = 'left';
|
|
const readoutX = snapX + 6;
|
|
let readoutY = padding.top + 14;
|
|
|
|
ctx.fillStyle = '#8ba3c1';
|
|
ctx.fillText(closest.t.toFixed(1) + 's', readoutX, readoutY);
|
|
readoutY += 13;
|
|
|
|
ctx.fillStyle = '#3fb950';
|
|
ctx.fillText('RAM: ' + closest.ram.toFixed(2) + ' GB', readoutX, readoutY);
|
|
readoutY += 13;
|
|
|
|
if (hasVram && closest.vram !== null) {
|
|
ctx.fillStyle = '#d29922';
|
|
ctx.fillText('VRAM: ' + closest.vram.toFixed(2) + ' GB', readoutX, readoutY);
|
|
}
|
|
}
|
|
}
|
|
|
|
// Canvas hover handler
|
|
document.getElementById('resource-canvas').addEventListener('mousemove', function(e) {
|
|
if (!resourceGraphState) return;
|
|
const rect = this.getBoundingClientRect();
|
|
drawResourceGraph(e.clientX - rect.left);
|
|
});
|
|
document.getElementById('resource-canvas').addEventListener('mouseleave', function() {
|
|
drawResourceGraph();
|
|
});
|
|
|
|
function closeImgOverlay() {
|
|
const overlay = document.getElementById('img-overlay');
|
|
overlay.classList.remove('active', 'zoomed');
|
|
}
|
|
|
|
function closeLightbox() {
|
|
if (playInterval) {
|
|
clearInterval(playInterval);
|
|
playInterval = null;
|
|
document.getElementById('video-play-btn').innerHTML = '▶ Play';
|
|
}
|
|
closeImgOverlay();
|
|
document.getElementById('resource-graph').classList.remove('active');
|
|
document.getElementById('lightbox').classList.remove('active');
|
|
history.replaceState(null, '', window.location.pathname);
|
|
|
|
if (inIframe) {
|
|
window.parent.postMessage({ type: 'comfytest-close' }, '*');
|
|
}
|
|
}
|
|
|
|
document.getElementById('lightbox').onclick = (e) => {
|
|
if (e.target.id === 'lightbox') closeLightbox();
|
|
};
|
|
|
|
function navigateLightbox(delta) {
|
|
if (workflowNames.length === 0) return;
|
|
const idx = workflowNames.indexOf(currentWorkflow);
|
|
if (idx === -1) return;
|
|
const newIdx = (idx + delta + workflowNames.length) % workflowNames.length;
|
|
openLightboxByName(workflowNames[newIdx]);
|
|
}
|
|
|
|
function handleKey(key) {
|
|
const overlay = document.getElementById('img-overlay');
|
|
if (key === 'Escape') {
|
|
if (overlay.classList.contains('active')) {
|
|
closeImgOverlay();
|
|
} else {
|
|
closeLightbox();
|
|
}
|
|
return;
|
|
}
|
|
if (document.getElementById('lightbox').classList.contains('active') && !overlay.classList.contains('active')) {
|
|
if (key === 'ArrowLeft') { navigateLightbox(-1); }
|
|
if (key === 'ArrowRight') { navigateLightbox(1); }
|
|
if ((key === 'ArrowUp' || key === 'ArrowDown') && inIframe) {
|
|
window.parent.postMessage({
|
|
type: 'comfytest-platform-shift',
|
|
delta: key === 'ArrowUp' ? -1 : 1,
|
|
workflow: currentWorkflow,
|
|
}, '*');
|
|
}
|
|
}
|
|
}
|
|
|
|
document.onkeydown = (e) => {
|
|
if (['Escape', 'ArrowLeft', 'ArrowRight', 'ArrowUp', 'ArrowDown'].includes(e.key)) {
|
|
e.preventDefault();
|
|
handleKey(e.key);
|
|
}
|
|
};
|
|
|
|
// Click lightbox image -> open in fullscreen overlay (fit mode)
|
|
document.getElementById('lightbox-img').addEventListener('click', function(e) {
|
|
e.stopPropagation();
|
|
const overlay = document.getElementById('img-overlay');
|
|
const overlayImg = document.getElementById('img-overlay-content');
|
|
overlayImg.src = this.src;
|
|
overlay.classList.add('active');
|
|
overlay.classList.remove('zoomed');
|
|
});
|
|
|
|
// Click overlay image: fit -> zoomed -> close
|
|
document.getElementById('img-overlay-content').addEventListener('click', function(e) {
|
|
e.stopPropagation();
|
|
const overlay = document.getElementById('img-overlay');
|
|
if (overlay.classList.contains('zoomed')) {
|
|
closeImgOverlay();
|
|
} else {
|
|
overlay.classList.add('zoomed');
|
|
}
|
|
});
|
|
|
|
// Click overlay background -> close overlay
|
|
document.getElementById('img-overlay').addEventListener('click', function(e) {
|
|
if (e.target === this) closeImgOverlay();
|
|
});
|
|
|
|
function openFromHash() {
|
|
const hash = decodeURIComponent(window.location.hash.slice(1));
|
|
if (hash && workflowData[hash]) {
|
|
const w = workflowData[hash];
|
|
openLightbox(w.src, w.title, w.status, w.duration, w.log, w.hardware);
|
|
}
|
|
}
|
|
|
|
window.addEventListener('hashchange', openFromHash);
|
|
window.addEventListener('load', openFromHash);
|
|
|
|
// Listen for messages from parent frames
|
|
window.addEventListener('message', function(e) {
|
|
if (!e.data || !e.data.type) return;
|
|
if (e.data.type === 'comfytest-open' && e.data.name) {
|
|
openLightboxByName(e.data.name);
|
|
}
|
|
if (e.data.type === 'comfytest-key') {
|
|
handleKey(e.data.key);
|
|
}
|
|
});
|
|
|
|
// Detect iframe: hide header and move meta chips into summary
|
|
if (inIframe) {
|
|
document.body.classList.add('in-iframe');
|
|
const chips = document.querySelector('.meta-chips');
|
|
const summary = document.querySelector('.summary');
|
|
if (chips && summary) {
|
|
const wrapper = document.createElement('div');
|
|
wrapper.className = 'summary-meta';
|
|
while (chips.firstChild) wrapper.appendChild(chips.firstChild);
|
|
summary.insertBefore(wrapper, summary.firstChild);
|
|
}
|
|
}
|
|
</script>
|
|
</body>
|
|
</html>
|