1595 lines
168 KiB
HTML
1595 lines
168 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-Sharp - 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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.lightbox-nav-left { left: 1rem; }
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.lightbox-nav-right { right: 1rem; }
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.lightbox-info {
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display: flex;
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justify-content: space-between;
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align-items: center;
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padding: 1rem 1.25rem;
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background: #162033;
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border: 1px solid #243656;
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border-radius: 8px;
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margin-top: 1rem;
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}
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|
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.lightbox-title {
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font-size: 1rem;
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font-weight: 600;
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color: #e6edf3;
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}
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|
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.lightbox-hardware {
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display: block;
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font-size: 0.75rem;
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color: #8ba3c1;
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margin-top: 0.25rem;
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}
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|
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.lightbox-meta {
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display: flex;
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gap: 1rem;
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align-items: center;
|
|
}
|
|
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|
.lightbox-badge {
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padding: 0.25rem 0.75rem;
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border-radius: 2rem;
|
|
font-size: 0.8rem;
|
|
font-weight: 600;
|
|
text-transform: uppercase;
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|
}
|
|
|
|
.lightbox-badge.pass {
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background: rgba(63, 185, 80, 0.15);
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color: #3fb950;
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}
|
|
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.lightbox-badge.fail {
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background: rgba(248, 81, 73, 0.15);
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color: #f85149;
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}
|
|
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.lightbox-duration {
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color: #8ba3c1;
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font-size: 0.85rem;
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}
|
|
|
|
.lightbox-log {
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background: #0f1923;
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border: 1px solid #243656;
|
|
border-radius: 8px;
|
|
padding: 1rem;
|
|
margin-top: 1rem;
|
|
max-height: 300px;
|
|
overflow-y: auto;
|
|
font-family: 'SFMono-Regular', 'Menlo', 'Monaco', monospace;
|
|
font-size: 0.8rem;
|
|
line-height: 1.5;
|
|
white-space: pre-wrap;
|
|
word-break: break-all;
|
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color: #8ba3c1;
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}
|
|
|
|
.lightbox-log::-webkit-scrollbar {
|
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width: 8px;
|
|
}
|
|
|
|
.lightbox-log::-webkit-scrollbar-track {
|
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background: #162033;
|
|
border-radius: 4px;
|
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}
|
|
|
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.lightbox-log::-webkit-scrollbar-thumb {
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background: #243656;
|
|
border-radius: 4px;
|
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}
|
|
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.lightbox-log::-webkit-scrollbar-thumb:hover {
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background: #4a6282;
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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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|
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.resource-graph.active {
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|
display: block;
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}
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|
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.resource-graph-title {
|
|
font-size: 0.8rem;
|
|
color: #8ba3c1;
|
|
font-weight: 500;
|
|
margin-bottom: 0.5rem;
|
|
}
|
|
|
|
.resource-graph canvas {
|
|
width: 100%;
|
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height: 120px;
|
|
cursor: crosshair;
|
|
}
|
|
|
|
.resource-legend {
|
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display: flex;
|
|
gap: 1rem;
|
|
margin-top: 0.5rem;
|
|
font-size: 0.75rem;
|
|
color: #8ba3c1;
|
|
}
|
|
|
|
.resource-legend span {
|
|
display: flex;
|
|
align-items: center;
|
|
gap: 4px;
|
|
}
|
|
|
|
.resource-legend .dot {
|
|
width: 8px;
|
|
height: 8px;
|
|
border-radius: 50%;
|
|
}
|
|
|
|
.resource-legend .ram { background: #3fb950; }
|
|
.resource-legend .gpu { background: #d29922; }
|
|
|
|
/* Video Player */
|
|
.video-player {
|
|
display: none;
|
|
margin-top: 1rem;
|
|
background: #162033;
|
|
border: 1px solid #243656;
|
|
border-radius: 8px;
|
|
padding: 1rem;
|
|
}
|
|
|
|
.video-player.active {
|
|
display: block;
|
|
}
|
|
|
|
.video-controls {
|
|
display: flex;
|
|
align-items: center;
|
|
gap: 1rem;
|
|
margin-top: 0.5rem;
|
|
}
|
|
|
|
.video-play-btn {
|
|
background: #58a6ff;
|
|
color: #fff;
|
|
border: none;
|
|
padding: 0.4rem 1rem;
|
|
border-radius: 6px;
|
|
cursor: pointer;
|
|
font-size: 0.8rem;
|
|
font-weight: 500;
|
|
}
|
|
|
|
.video-play-btn:hover {
|
|
background: #79b8ff;
|
|
}
|
|
|
|
.video-frame-counter {
|
|
color: #8ba3c1;
|
|
font-size: 0.8rem;
|
|
}
|
|
|
|
.video-slider-container {
|
|
padding: 15px 0;
|
|
}
|
|
|
|
/* noUiSlider customization */
|
|
#video-slider {
|
|
height: 6px;
|
|
background: #1c2d44;
|
|
border: none;
|
|
box-shadow: none;
|
|
}
|
|
|
|
#video-slider .noUi-connect {
|
|
background: #58a6ff;
|
|
}
|
|
|
|
#video-slider .noUi-handle {
|
|
width: 16px;
|
|
height: 16px;
|
|
background: #58a6ff;
|
|
border: none;
|
|
border-radius: 50%;
|
|
box-shadow: none;
|
|
top: -5px;
|
|
right: -8px;
|
|
cursor: pointer;
|
|
}
|
|
|
|
#video-slider .noUi-handle:before,
|
|
#video-slider .noUi-handle:after {
|
|
display: none;
|
|
}
|
|
|
|
/* Pips (tick marks) */
|
|
.noUi-pips {
|
|
color: #4a6282;
|
|
}
|
|
|
|
.noUi-marker {
|
|
background: #243656;
|
|
width: 2px;
|
|
}
|
|
|
|
.noUi-marker-large {
|
|
height: 12px;
|
|
}
|
|
|
|
.noUi-value {
|
|
display: none;
|
|
}
|
|
|
|
/* Models Section */
|
|
.models-section {
|
|
margin-top: 2rem;
|
|
margin-bottom: 2rem;
|
|
}
|
|
|
|
.models-total {
|
|
font-size: 0.8rem;
|
|
color: #8ba3c1;
|
|
}
|
|
|
|
.models-folder {
|
|
background: #162033;
|
|
border: 1px solid #243656;
|
|
border-radius: 8px;
|
|
margin-bottom: 0.5rem;
|
|
overflow: hidden;
|
|
}
|
|
|
|
.models-folder-header {
|
|
display: flex;
|
|
justify-content: space-between;
|
|
align-items: center;
|
|
padding: 0.75rem 1rem;
|
|
cursor: pointer;
|
|
user-select: none;
|
|
list-style: none;
|
|
}
|
|
|
|
.models-folder-header::-webkit-details-marker {
|
|
display: none;
|
|
}
|
|
|
|
.models-folder-header::before {
|
|
content: '\25B6';
|
|
font-size: 0.6rem;
|
|
color: #4a6282;
|
|
margin-right: 0.5rem;
|
|
transition: transform 0.15s;
|
|
}
|
|
|
|
.models-folder[open] > .models-folder-header::before {
|
|
transform: rotate(90deg);
|
|
}
|
|
|
|
.models-folder-name {
|
|
font-family: 'SFMono-Regular', 'Menlo', 'Monaco', monospace;
|
|
font-size: 0.85rem;
|
|
font-weight: 600;
|
|
color: #58a6ff;
|
|
}
|
|
|
|
.models-folder-meta {
|
|
display: flex;
|
|
align-items: center;
|
|
gap: 0.75rem;
|
|
}
|
|
|
|
.models-folder-size {
|
|
font-size: 0.8rem;
|
|
font-weight: 600;
|
|
color: #8ba3c1;
|
|
}
|
|
|
|
.models-source-link {
|
|
font-size: 0.75rem;
|
|
color: #3fb950;
|
|
text-decoration: none;
|
|
padding: 0.15rem 0.5rem;
|
|
background: rgba(63, 185, 80, 0.1);
|
|
border: 1px solid rgba(63, 185, 80, 0.2);
|
|
border-radius: 2rem;
|
|
}
|
|
|
|
.models-source-link:hover {
|
|
background: rgba(63, 185, 80, 0.2);
|
|
text-decoration: none;
|
|
}
|
|
|
|
.models-file-list {
|
|
border-top: 1px solid #243656;
|
|
padding: 0.25rem 0;
|
|
}
|
|
|
|
.models-file {
|
|
display: flex;
|
|
justify-content: space-between;
|
|
align-items: center;
|
|
padding: 0.35rem 1rem 0.35rem 2rem;
|
|
font-size: 0.8rem;
|
|
}
|
|
|
|
.models-file:hover {
|
|
background: rgba(88, 166, 255, 0.05);
|
|
}
|
|
|
|
.models-file-path {
|
|
font-family: 'SFMono-Regular', 'Menlo', 'Monaco', monospace;
|
|
color: #8ba3c1;
|
|
word-break: break-all;
|
|
}
|
|
|
|
.models-file-size {
|
|
color: #4a6282;
|
|
white-space: nowrap;
|
|
margin-left: 1rem;
|
|
flex-shrink: 0;
|
|
}
|
|
|
|
/* Footer */
|
|
footer {
|
|
text-align: center;
|
|
padding: 2.5rem;
|
|
color: #4a6282;
|
|
font-size: 0.8rem;
|
|
}
|
|
|
|
footer a {
|
|
color: #58a6ff;
|
|
text-decoration: none;
|
|
}
|
|
|
|
footer a:hover {
|
|
text-decoration: underline;
|
|
}
|
|
|
|
/* Responsive */
|
|
@media (max-width: 600px) {
|
|
.workflow-grid {
|
|
grid-template-columns: 1fr !important;
|
|
}
|
|
|
|
.workflow-grid.view-list .workflow-card {
|
|
grid-template-columns: 1fr;
|
|
}
|
|
|
|
.workflow-grid.view-list .workflow-screenshot {
|
|
width: 100%;
|
|
height: auto;
|
|
aspect-ratio: 16/10;
|
|
}
|
|
|
|
.stats {
|
|
flex-direction: column;
|
|
align-items: flex-start;
|
|
}
|
|
|
|
.section-header {
|
|
flex-direction: column;
|
|
align-items: flex-start;
|
|
gap: 0.5rem;
|
|
}
|
|
|
|
.container {
|
|
padding: 1rem;
|
|
}
|
|
}
|
|
</style>
|
|
<link href="https://cdn.jsdelivr.net/npm/nouislider@15/dist/nouislider.min.css" rel="stylesheet">
|
|
<script src="https://cdn.jsdelivr.net/npm/nouislider@15/dist/nouislider.min.js"></script>
|
|
</head>
|
|
<body>
|
|
<header>
|
|
<h1><a href="https://github.com/PozzettiAndrea/PozzettiAndrea/ComfyUI-Sharp">PozzettiAndrea/ComfyUI-Sharp</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> 2026-05-10 21:23 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> macOS-15.7.4-arm64-arm-64bit</span> <span class="meta-chip"><svg viewBox="0 0 16 16"><path d="M5 0a.5.5 0 01.5.5V2h1V.5a.5.5 0 011 0V2h1V.5a.5.5 0 011 0V2h.5A2.5 2.5 0 0112.5 4.5H14v1h-1.5v1H14v1h-1.5v1H14v1h-1.5A2.5 2.5 0 0110 12h-.5v1.5a.5.5 0 01-1 0V12h-1v1.5a.5.5 0 01-1 0V12H6v1.5a.5.5 0 01-1 0V12h-.5A2.5 2.5 0 012 9.5H.5v-1H2v-1H.5v-1H2v-1H.5v-1H2A2.5 2.5 0 014.5 2V.5A.5.5 0 015 0zm-.5 4A1.5 1.5 0 003 5.5v4A1.5 1.5 0 004.5 11h6a1.5 1.5 0 001.5-1.5v-4A1.5 1.5 0 0010.5 4h-6z"/></svg> arm</span>
|
|
</div>
|
|
</header>
|
|
|
|
<div class="container">
|
|
<div class="summary">
|
|
<div class="progress-wrapper">
|
|
<div class="progress-bar">
|
|
<div class="progress-fill 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">2 failed</span>
|
|
<span class="stat-total">0/2 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('sharp_basic')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="sharp_basic">sharp_basic</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>26.64s</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div class="workflow-card clickable failed" onclick="openLightboxByName('sharp_exif')">
|
|
<div class="workflow-screenshot placeholder">No screenshot</div>
|
|
<div class="workflow-info">
|
|
<div class="workflow-header">
|
|
<span class="workflow-name" title="sharp_exif">sharp_exif</span>
|
|
<span class="workflow-badge fail">fail</span>
|
|
</div>
|
|
<div class="workflow-meta">
|
|
<span>6.36s</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">sharp_basic</span>
|
|
<span class="failed-duration">26.64s</span>
|
|
</div>
|
|
<div class="failed-error">Workflow execution failed: {'prompt_id': '22ea27a1-b2c3-4f5b-b2f4-98e7a1678c2d', 'node_id': '5', 'node_type': 'SharpPredict', 'executed': ['1', '2'], 'exception_message': 'No module named \'scipy\'\n\nWorker traceback:\nTraceback (most recent call last):\n File "/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n ^^^^^^^^^^^^^^^^\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py", line 111, in execute\n patcher = _load_sharp_model(model)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py", line 75, in _load_sharp_model\n import comfy.model_patcher\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py", line 32, in <module>\n import comfy.hooks\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py", line 14, in <module>\n import comfy.lora\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py", line 23, in <module>\n import comfy.model_base\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py", line 25, in <module>\n from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 21, in <module>\n from ..sdpose import HeatmapHead\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py", line 3, in <module>\n from scipy.ndimage import gaussian_filter\nModuleNotFoundError: No module named \'scipy\'\n\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py", line 535, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py", line 335, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n', ' File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py", line 536, in proxy\n result = worker.call_method(\n ^^^^^^^^^^^^^^^^^^^\n', ' File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py", line 674, in call_method\n raise WorkerError(\n'], 'current_inputs': {'focal_length_mm': [30], 'output_prefix': ['sharp'], 'model': ["{'model_path': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/models/sharp/sharp_2572gikvuh.pt', 'precision': 'auto', 'dtype': 'bf16'}"], 'image': ['tensor([[[[0.0039, 0.4902, 0.9608],\n [0.0039, 0.4902, 0.9608],\n [0.0039, 0.4902, 0.9608],\n ...,\n [0.0510, 0.0353, 0.0000],\n [0.0510, 0.0353, 0.0000],\n [0.0510, 0.0353, 0.0000]],\n\n [[0.0039, 0.4902, 0.9608],\n [0.0039, 0.4902, 0.9608],\n [0.0039, 0.4902, 0.9608],\n ...,\n [0.0510, 0.0353, 0.0000],\n [0.0510, 0.0353, 0.0000],\n [0.0510, 0.0353, 0.0000]],\n\n [[0.0039, 0.4902, 0.9608],\n [0.0039, 0.4902, 0.9608],\n [0.0039, 0.4902, 0.9608],\n ...,\n [0.0510, 0.0353, 0.0000],\n [0.0510, 0.0353, 0.0000],\n [0.0510, 0.0353, 0.0000]],\n\n ...,\n\n [[0.6824, 0.6196, 0.5373],\n [0.6824, 0.6196, 0.5373],\n [0.6824, 0.6196, 0.5373],\n ...,\n [0.5137, 0.4667, 0.4275],\n [0.5137, 0.4667, 0.4275],\n [0.5137, 0.4667, 0.4275]],\n\n [[0.6824, 0.6196, 0.5373],\n [0.6824, 0.6196, 0.5373],\n [0.6824, 0.6196, 0.5373],\n ...,\n [0.5059, 0.4667, 0.4392],\n [0.5059, 0.4706, 0.4353],\n [0.5059, 0.4706, 0.4353]],\n\n [[0.6824, 0.6196, 0.5373],\n [0.6824, 0.6196, 0.5373],\n [0.6824, 0.6196, 0.5373],\n ...,\n [0.5059, 0.4667, 0.4392],\n [0.5059, 0.4706, 0.4353],\n [0.5059, 0.4706, 0.4353]]]])'], 'prompt': ["{'1': {'inputs': {'image': 'beach.jpg'}, 'class_type': 'LoadImage', '_meta': {'title': 'Load Image'}, 'is_changed': ['ee4f94632a5ec7038826e875829a62a81dc2a9b85ed59440f2eaa37b3704fa24']}, '2': {'inputs': {'precision': 'auto'}, 'class_type': 'LoadSharpModel', '_meta': {'title': '(Down)Load SHARP Model'}}, '4': {'inputs': {'preview_gaussian': '', 'ply_path': ['5', 0], 'extrinsics': ['5', 1], 'intrinsics': ['5', 2]}, 'class_type': 'GeomPackPreviewGaussian', '_meta': {'title': 'Preview Gaussian'}}, '5': {'inputs': {'focal_length_mm': 30.0, 'output_prefix': 'sharp', 'model': ['2', 0], 'image': ['1', 0]}, 'class_type': 'SharpPredict', '_meta': {'title': 'SHARP Predict (Image to PLY)'}}}"], 'extra_pnginfo': ["{'workflow': {'id': 'sharp-basic-workflow', 'revision': 0, 'last_node_id': 5, 'last_link_id': 10, 'nodes': [{'id': 2, 'type': 'LoadSharpModel', 'pos': [-150, -400], 'size': [270, 106.65625], 'flags': {}, 'order': 0, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'model_config', 'type': 'SHARP_MODEL_CONFIG', 'links': [6]}], 'properties': {'Node name for S&R': 'LoadSharpModel', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': '9f1b9c726e2cfc0118866c3df783e7f6bc895226'}, 'widgets_values': ['auto']}, {'id': 1, 'type': 'LoadImage', 'pos': [-150, -100], 'size': [274, 340], 'flags': {}, 'order': 1, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'IMAGE', 'type': 'IMAGE', 'links': [7]}, {'name': 'MASK', 'type': 'MASK', 'links': []}], 'properties': {'Node name for S&R': 'LoadImage', 'cnr_id': 'comfy-core', 'ver': '0.5.1'}, 'widgets_values': ['beach.jpg', 'image']}, {'id': 5, 'type': 'SharpPredict', 'pos': [181.546875, -251.55078125], 'size': [298.890625, 212], 'flags': {}, 'order': 2, 'mode': 0, 'inputs': [{'name': 'model', 'type': 'SHARP_MODEL_CONFIG', 'link': 6}, {'name': 'image', 'type': 'IMAGE', 'link': 7}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': None}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': None}], 'outputs': [{'name': 'ply_path', 'type': 'STRING', 'links': [8]}, {'name': 'extrinsics', 'type': 'EXTRINSICS', 'links': [9]}, {'name': 'intrinsics', 'type': 'INTRINSICS', 'links': [10]}], 'properties': {'Node name for S&R': 'SharpPredict', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': 'aa98b213e3d0770477bbf46046094c5cb8ff6052'}, 'widgets_values': [30, 'sharp']}, {'id': 4, 'type': 'GeomPackPreviewGaussian', 'pos': [629.92578125, -322.046875], 'size': [512, 658], 'flags': {}, 'order': 3, 'mode': 0, 'inputs': [{'name': 'ply_path', 'type': 'STRING', 'link': 8}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': 9}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': 10}], 'outputs': [], 'properties': {'Node name for S&R': 'GeomPackPreviewGaussian', 'aux_id': 'PozzettiAndrea/ComfyUI-GeometryPack', 'ver': 'b7df285fc5b3fef7aad434d8b6e8698efed6358b', 'cnr_id': 'comfyui-geometrypack'}, 'widgets_values': ['']}], 'links': [[6, 2, 0, 5, 0, 'SHARP_MODEL'], [7, 1, 0, 5, 1, 'IMAGE'], [8, 5, 0, 4, 0, 'STRING'], [9, 5, 1, 4, 1, 'EXTRINSICS'], [10, 5, 2, 4, 2, 'INTRINSICS']], 'groups': [], 'config': {}, 'extra': {'ds': {'scale': 1, 'offset': [300.79296875, 604.72265625]}, 'workflowRendererVersion': 'LG', 'frontendVersion': '1.43.18'}, 'version': 0.4}}"]}, 'current_outputs': ['5', '1', '4', '2'], 'timestamp': 1778448220749}
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Details:
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Workflow: /private/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy-test-run-qhb36rtm/ComfyUI-Sharp/workflows/sharp_basic.json
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Node error: SharpPredict</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">sharp_exif</span>
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<span class="failed-duration">6.36s</span>
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<div class="failed-error">Workflow execution failed: {'prompt_id': 'c6a73d72-afb0-4869-b0ee-8a1263a00919', 'node_id': '7', 'node_type': 'SharpPredict', 'executed': ['9', '2'], 'exception_message': 'No module named \'scipy\'\n\nWorker traceback:\nTraceback (most recent call last):\n File "/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py", line 1762, in main\n result = method(**inputs)\n ^^^^^^^^^^^^^^^^\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py", line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py", line 111, in execute\n patcher = _load_sharp_model(model)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py", line 75, in _load_sharp_model\n import comfy.model_patcher\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py", line 32, in <module>\n import comfy.hooks\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py", line 14, in <module>\n import comfy.lora\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py", line 23, in <module>\n import comfy.model_base\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py", line 25, in <module>\n from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 21, in <module>\n from ..sdpose import HeatmapHead\n File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py", line 3, in <module>\n from scipy.ndimage import gaussian_filter\nModuleNotFoundError: No module named \'scipy\'\n\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py", line 535, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py", line 335, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n', ' File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py", line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n', ' File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py", line 297, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n', ' File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py", line 536, in proxy\n result = worker.call_method(\n ^^^^^^^^^^^^^^^^^^^\n', ' File "/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py", line 674, in call_method\n raise WorkerError(\n'], 'current_inputs': {'focal_length_mm': [20], 'output_prefix': ['sharp'], 'model': ["{'model_path': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/models/sharp/sharp_2572gikvuh.pt', 'precision': 'auto', 'dtype': 'bf16'}"], 'image': ['tensor([[[[0.2157, 0.1647, 0.1569],\n [0.2275, 0.1608, 0.1608],\n [0.2275, 0.1647, 0.1529],\n ...,\n [0.4471, 0.4745, 0.4863],\n [0.4510, 0.4745, 0.4863],\n [0.4431, 0.4745, 0.4745]],\n\n [[0.2196, 0.1686, 0.1569],\n [0.2314, 0.1647, 0.1608],\n [0.2353, 0.1647, 0.1647],\n ...,\n [0.4549, 0.4784, 0.4706],\n [0.4549, 0.4706, 0.4784],\n [0.4431, 0.4706, 0.4667]],\n\n [[0.2314, 0.1725, 0.1569],\n [0.2510, 0.1725, 0.1608],\n [0.2392, 0.1725, 0.1686],\n ...,\n [0.4588, 0.4745, 0.4627],\n [0.4510, 0.4745, 0.4667],\n [0.4471, 0.4706, 0.4627]],\n\n ...,\n\n [[0.1569, 0.1647, 0.1843],\n [0.1647, 0.1725, 0.1882],\n [0.1490, 0.1686, 0.1922],\n ...,\n [0.1020, 0.1137, 0.1373],\n [0.1137, 0.1176, 0.1412],\n [0.0863, 0.1176, 0.1373]],\n\n [[0.1569, 0.1686, 0.1804],\n [0.1569, 0.1647, 0.1961],\n [0.1490, 0.1647, 0.1961],\n ...,\n [0.1059, 0.1216, 0.1294],\n [0.1176, 0.1216, 0.1333],\n [0.1059, 0.1137, 0.1373]],\n\n [[0.1608, 0.1686, 0.1843],\n [0.1608, 0.1686, 0.1882],\n [0.1569, 0.1686, 0.1882],\n ...,\n [0.1059, 0.1176, 0.1333],\n [0.1137, 0.1176, 0.1333],\n [0.1333, 0.1176, 0.1333]]]])'], 'prompt': ["{'2': {'inputs': {'precision': 'auto'}, 'class_type': 'LoadSharpModel', '_meta': {'title': '(Down)Load SHARP Model'}}, '7': {'inputs': {'focal_length_mm': ['9', 2], 'output_prefix': 'sharp', 'model': ['2', 0], 'image': ['9', 0]}, 'class_type': 'SharpPredict', '_meta': {'title': 'SHARP Predict (Image to PLY)'}}, '8': {'inputs': {'preview_gaussian': '', 'ply_path': ['7', 0], 'extrinsics': ['7', 1], 'intrinsics': ['7', 2]}, 'class_type': 'GeomPackPreviewGaussian', '_meta': {'title': 'Preview Gaussian'}}, '9': {'inputs': {'image': 'eth3d.png', 'default_focal_mm': 30.0}, 'class_type': 'LoadImageWithExif', '_meta': {'title': 'Load Image with EXIF (Focal Length)'}}}"], 'extra_pnginfo': ["{'workflow': {'id': 'sharp-basic-workflow', 'revision': 0, 'last_node_id': 10, 'last_link_id': 21, 'nodes': [{'id': 2, 'type': 'LoadSharpModel', 'pos': [-150, -400], 'size': [270, 106.65625], 'flags': {}, 'order': 0, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'model_config', 'type': 'SHARP_MODEL_CONFIG', 'links': [11]}], 'properties': {'Node name for S&R': 'LoadSharpModel', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': '9f1b9c726e2cfc0118866c3df783e7f6bc895226'}, 'widgets_values': ['auto']}, {'id': 9, 'type': 'LoadImageWithExif', 'pos': [-208.74978010739324, -99.02778023242435], 'size': [342.28125, 420], 'flags': {}, 'order': 1, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'image', 'type': 'IMAGE', 'links': [19]}, {'name': 'mask', 'type': 'MASK', 'links': None}, {'name': 'focal_length_mm', 'type': 'FLOAT', 'links': [20]}], 'properties': {'Node name for S&R': 'LoadImageWithExif', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': 'c69751a59b587c3b83d0e37cfe2bab3bc838574a'}, 'widgets_values': ['eth3d.png', 30, 'image']}, {'id': 7, 'type': 'SharpPredict', 'pos': [226.15696022727278, -245.70490056818184], 'size': [298.890625, 212], 'flags': {}, 'order': 2, 'mode': 0, 'inputs': [{'name': 'model', 'type': 'SHARP_MODEL_CONFIG', 'link': 11}, {'name': 'image', 'type': 'IMAGE', 'link': 19}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': None}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': None}, {'name': 'focal_length_mm', 'shape': 7, 'type': 'FLOAT', 'widget': {'name': 'focal_length_mm'}, 'link': 20}], 'outputs': [{'name': 'ply_path', 'type': 'STRING', 'links': [16]}, {'name': 'extrinsics', 'type': 'EXTRINSICS', 'links': [17]}, {'name': 'intrinsics', 'type': 'INTRINSICS', 'links': [18]}], 'properties': {'Node name for S&R': 'SharpPredict', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': 'c69751a59b587c3b83d0e37cfe2bab3bc838574a'}, 'widgets_values': [30, 'sharp']}, {'id': 8, 'type': 'GeomPackPreviewGaussian', 'pos': [641.9426914835157, -275.49795068697], 'size': [512, 658], 'flags': {}, 'order': 3, 'mode': 0, 'inputs': [{'name': 'ply_path', 'type': 'STRING', 'link': 16}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': 17}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': 18}], 'outputs': [], 'properties': {'Node name for S&R': 'GeomPackPreviewGaussian', 'aux_id': 'PozzettiAndrea/ComfyUI-GeometryPack', 'ver': 'df6bf3d73d0dda9c6ad7428eb58a00dc8cbaf6ed', 'cnr_id': 'comfyui-geometrypack'}, 'widgets_values': ['']}], 'links': [[11, 2, 0, 7, 0, 'SHARP_MODEL'], [16, 7, 0, 8, 0, 'STRING'], [17, 7, 1, 8, 1, 'EXTRINSICS'], [18, 7, 2, 8, 2, 'INTRINSICS'], [19, 9, 0, 7, 1, 'IMAGE'], [20, 9, 2, 7, 4, 'FLOAT']], 'groups': [], 'config': {}, 'extra': {'ds': {'scale': 1.1, 'offset': [292.8560303656579, 525.3669699599554]}, 'workflowRendererVersion': 'LG', 'frontendVersion': '1.43.18'}, 'version': 0.4}}"]}, 'current_outputs': ['7', '9', '8', '2'], 'timestamp': 1778448227714}
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Details:
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Workflow: /private/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy-test-run-qhb36rtm/ComfyUI-Sharp/workflows/sharp_exif.json
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Node error: SharpPredict</div>
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<div class="models-section">
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<h2 class="section-title">Downloaded Models</h2>
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<span class="models-total">4 files · 2.6 GB</span>
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<details class="models-folder" open>
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<span class="models-folder-name">models/sharp/</span>
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<span class="models-folder-size">2.6 GB</span>
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<div class="models-file"><span class="models-file-path">sharp_2572gikvuh.pt</span><span class="models-file-size">2.6 GB</span></div>
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<div class="models-file"><span class="models-file-path">.cache/huggingface/CACHEDIR.TAG</span><span class="models-file-size">191.0 B</span></div>
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<div class="models-file"><span class="models-file-path">.cache/huggingface/download/sharp_2572gikvuh.pt.metadata</span><span class="models-file-size">125.0 B</span></div>
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<div class="models-file"><span class="models-file-path">.cache/huggingface/.gitignore</span><span class="models-file-size">1.0 B</span></div>
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<pre class="lightbox-log" id="lightbox-log"></pre>
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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 = {"sharp_basic": {"src": "", "title": "sharp_basic", "status": "fail", "duration": "26.64", "log": "Capturing execution frames: sharp_basic.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 1: LoadImage\n [ComfyUI] Node 1: LoadImage\n [ComfyUI] Inputs: {\"image\": \"beach.jpg\"}\n [ComfyUI] Inputs: {\"image\": \"beach.jpg\"}\n [ComfyUI] Node 2: LoadSharpModel\n [ComfyUI] Node 2: LoadSharpModel\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Node 4: GeomPackPreviewGaussian\n [ComfyUI] Node 4: GeomPackPreviewGaussian\n [ComfyUI] Inputs: {\"preview_gaussian\": \"\", \"ply_path\": [\"5\", 0], \"extrinsics\": [\"5\", 1], \"intrinsics\": [\"5\", 2]}\n [ComfyUI] Inputs: {\"preview_gaussian\": \"\", \"ply_path\": [\"5\", 0], \"extrinsics\": [\"5\", 1], \"intrinsics\": [\"5\", 2]}\n [ComfyUI] Node 5: SharpPredict\n [ComfyUI] Node 5: SharpPredict\n [ComfyUI] Inputs: {\"focal_length_mm\": 30, \"output_prefix\": \"sharp\", \"model\": [\"2\", 0], \"image\": [\"1\", 0]}\n [ComfyUI] Inputs: {\"focal_length_mm\": 30, \"output_prefix\": \"sharp\", \"model\": [\"2\", 0], \"image\": [\"1\", 0]}\n [ComfyUI] Generated prompt_id: 4cbdb7f5-e01a-444d-ab8a-6ad0c5c3fd66\n [ComfyUI] Generated prompt_id: 4cbdb7f5-e01a-444d-ab8a-6ad0c5c3fd66\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n Queuing workflow for execution...\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] SubprocessWorker: /Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/bin/python\n [ComfyUI] [comfy-env] SubprocessWorker: /Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/bin/python\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI'}\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI'}\n [ComfyUI] [comfy-env] Running LoadSharpModel: precision: 'auto'\n [ComfyUI] [comfy-env] Running LoadSharpModel: precision: 'auto'\n [ComfyUI] [ComfyUI-Sharp] python: /Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/bin/python\n [ComfyUI] [ComfyUI-Sharp] python: /Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/bin/python\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.LoadSharpModel.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.LoadSharpModel.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-Sharp] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.1/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp']\n [ComfyUI] [ComfyUI-Sharp] sys_path sent to worker: ['/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.1/site-packages', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp']\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/bin/python\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/pixi.toml', '-e', 'sharp-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_a5c43b5082a6.sock']...\n [ComfyUI] [SubprocessWorker] launching cmd=['/Users/runner/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/pixi.toml', '-e', 'sharp-nodes', 'python', '/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py', 'unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_a5c43b5082a6.sock']...\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_a5c43b5082a6.sock exists=True\n [ComfyUI] [SubprocessWorker] socket_addr=unix:///var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy_worker_a5c43b5082a6.sock exists=True\n Frame 2 saved (frame_001.jpg, t=2.3s)\n [capture-periodic] freeze=6ms shot=129ms unfreeze=5ms saved=True\n [ComfyUI] [worker:ComfyUI-Sharp] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [worker:ComfyUI-Sharp] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=1 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=1 sending call_method\n [ComfyUI] \n [ComfyUI] \n Frame 3 saved (frame_002.jpg, t=4.5s)\n [capture-periodic] freeze=2ms shot=99ms unfreeze=2ms saved=True\n [ComfyUI] sharp_2572gikvuh.pt: 0%| | 0.00/2.81G [00:00<?, ?B/s]\n [ComfyUI] sharp_2572gikvuh.pt: 0%| | 0.00/2.81G [00:00<?, ?B/s]\n [ComfyUI] sharp_2572gikvuh.pt: 2%|\u258f | 67.1M/2.81G [00:01<01:01, 44.3MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 2%|\u258f | 67.1M/2.81G [00:01<01:01, 44.3MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 3%|\u258e | 91.2M/2.81G [00:01<00:50, 53.9MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 3%|\u258e | 91.2M/2.81G [00:01<00:50, 53.9MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=50 t=5.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=3.8/7.0GB (60%) swap=0.0/0.0GB (0%) cpu=66% browser_rss=0.51GB\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 6%|\u258c | 158M/2.81G [00:02<00:32, 80.5MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 6%|\u258c | 158M/2.81G [00:02<00:32, 80.5MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 9%|\u2589 | 256M/2.81G [00:02<00:17, 147MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 9%|\u2589 | 256M/2.81G [00:02<00:17, 147MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 10%|\u2588 | 292M/2.81G [00:02<00:17, 146MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 10%|\u2588 | 292M/2.81G [00:02<00:17, 146MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 4 saved (frame_003.jpg, t=6.8s)\n [capture-periodic] freeze=3ms shot=199ms unfreeze=8ms saved=True\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 18%|\u2588\u258a | 494M/2.81G [00:03<00:13, 177MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 18%|\u2588\u258a | 494M/2.81G [00:03<00:13, 177MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 5 saved (frame_004.jpg, t=9.1s)\n [capture-periodic] freeze=20ms shot=262ms unfreeze=18ms saved=True\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 27%|\u2588\u2588\u258b | 768M/2.81G [00:06<00:15, 132MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 27%|\u2588\u2588\u258b | 768M/2.81G [00:06<00:15, 132MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 32%|\u2588\u2588\u2588\u258f | 896M/2.81G [00:06<00:12, 151MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 32%|\u2588\u2588\u2588\u258f | 896M/2.81G [00:06<00:12, 151MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 6 saved (frame_005.jpg, t=11.5s)\n [capture-periodic] freeze=17ms shot=303ms unfreeze=8ms saved=True\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 41%|\u2588\u2588\u2588\u2588\u258f | 1.16G/2.81G [00:09<00:12, 128MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 41%|\u2588\u2588\u2588\u2588\u258f | 1.16G/2.81G [00:09<00:12, 128MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=13.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=3.7/7.0GB (62%) swap=0.0/0.0GB (0%) cpu=100% browser_rss=0.41GB\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 44%|\u2588\u2588\u2588\u2588\u258d | 1.23G/2.81G [00:10<00:13, 121MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 44%|\u2588\u2588\u2588\u2588\u258d | 1.23G/2.81G [00:10<00:13, 121MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 7 saved (frame_006.jpg, t=14.0s)\n [capture-periodic] freeze=4ms shot=207ms unfreeze=6ms saved=True\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 51%|\u2588\u2588\u2588\u2588\u2588 | 1.43G/2.81G [00:11<00:09, 142MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 51%|\u2588\u2588\u2588\u2588\u2588 | 1.43G/2.81G [00:11<00:09, 142MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 53%|\u2588\u2588\u2588\u2588\u2588\u258e | 1.50G/2.81G [00:11<00:09, 140MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 53%|\u2588\u2588\u2588\u2588\u2588\u258e | 1.50G/2.81G [00:11<00:09, 140MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 56%|\u2588\u2588\u2588\u2588\u2588\u258c | 1.57G/2.81G [00:12<00:09, 128MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 56%|\u2588\u2588\u2588\u2588\u2588\u258c | 1.57G/2.81G [00:12<00:09, 128MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 8 saved (frame_007.jpg, t=16.4s)\n [capture-periodic] freeze=44ms shot=470ms unfreeze=6ms saved=True\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.83G/2.81G [00:13<00:05, 173MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 65%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 1.83G/2.81G [00:13<00:05, 173MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 80%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.24G/2.81G [00:14<00:02, 267MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 80%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.24G/2.81G [00:14<00:02, 267MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 92%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f| 2.57G/2.81G [00:14<00:00, 386MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 92%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f| 2.57G/2.81G [00:14<00:00, 386MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2.81G/2.81G [00:14<00:00, 467MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] sharp_2572gikvuh.pt: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2.81G/2.81G [00:14<00:00, 467MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] sharp_2572gikvuh.pt: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2.81G/2.81G [00:14<00:00, 193MB/s]\n [ComfyUI] sharp_2572gikvuh.pt: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2.81G/2.81G [00:14<00:00, 193MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] LoadSharpModel done (18.20s): result: NodeOutput\n [ComfyUI] [comfy-env] LoadSharpModel done (18.20s): result: NodeOutput\n [ComfyUI] [comfy-env] Running SharpPredict: focal_length_mm: 30.0, output_prefix: 'sharp', model: dict, image: torch.float32 [1,1024,1536,3] cpu\n [ComfyUI] [comfy-env] Running SharpPredict: focal_length_mm: 30.0, output_prefix: 'sharp', model: dict, image: torch.float32 [1,1024,1536,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.predict.SharpPredict.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.predict.SharpPredict.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-Sharp] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-Sharp] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-Sharp] Health check: ok\n [ComfyUI] [ComfyUI-Sharp] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'image' shape: torch.Size([1, 1024, 1536, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'image' shape: torch.Size([1, 1024, 1536, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=2 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=2 sending call_method\n [ComfyUI] [worker:ComfyUI-Sharp] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-Sharp] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-Sharp] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 1024, 1536, 3]\n [ComfyUI] [worker:ComfyUI-Sharp] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 1024, 1536, 3]\n [ComfyUI] [worker:ComfyUI-Sharp] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 1024, 1536, 3])\n [ComfyUI] [worker:ComfyUI-Sharp] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 1024, 1536, 3])\n [ComfyUI] [SubprocessWorker] got response: error\n [ComfyUI] [SubprocessWorker] got response: error\n [ComfyUI] !!! Exception during processing !!! No module named 'scipy'\n [ComfyUI] !!! Exception during processing !!! No module named 'scipy'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py\", line 1762, in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\n [ComfyUI] return func(*args, **kwargs)\n [ComfyUI] return func(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 111, in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 111, in execute\n [ComfyUI] patcher = _load_sharp_model(model)\n [ComfyUI] patcher = _load_sharp_model(model)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py\", line 75, in _load_sharp_model\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py\", line 75, in _load_sharp_model\n [ComfyUI] import comfy.model_patcher\n [ComfyUI] import comfy.model_patcher\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py\", line 25, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py\", line 25, in <module>\n [ComfyUI] from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\n [ComfyUI] from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py\", line 21, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py\", line 21, in <module>\n [ComfyUI] from ..sdpose import HeatmapHead\n [ComfyUI] from ..sdpose import HeatmapHead\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py\", line 3, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py\", line 3, in <module>\n [ComfyUI] from scipy.ndimage import gaussian_filter\n [ComfyUI] from scipy.ndimage import gaussian_filter\n [ComfyUI] ModuleNotFoundError: No module named 'scipy'\n [ComfyUI] ModuleNotFoundError: No module named 'scipy'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] result = f(**inputs)\n [ComfyUI] ^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 536, in proxy\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 536, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] result = worker.call_method(\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\n [ComfyUI] raise WorkerError(\n [ComfyUI] raise WorkerError(\n [ComfyUI] comfy_env.isolation.workers.base.WorkerError: No module named 'scipy'\n [ComfyUI] comfy_env.isolation.workers.base.WorkerError: No module named 'scipy'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py\", line 1762, in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\n [ComfyUI] return func(*args, **kwargs)\n [ComfyUI] return func(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 111, in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 111, in execute\n [ComfyUI] patcher = _load_sharp_model(model)\n [ComfyUI] patcher = _load_sharp_model(model)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py\", line 75, in _load_sharp_model\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py\", line 75, in _load_sharp_model\n [ComfyUI] import comfy.model_patcher\n [ComfyUI] import comfy.model_patcher\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py\", line 25, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py\", line 25, in <module>\n [ComfyUI] from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\n [ComfyUI] from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py\", line 21, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py\", line 21, in <module>\n [ComfyUI] from ..sdpose import HeatmapHead\n [ComfyUI] from ..sdpose import HeatmapHead\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py\", line 3, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py\", line 3, in <module>\n [ComfyUI] from scipy.ndimage import gaussian_filter\n [ComfyUI] from scipy.ndimage import gaussian_filter\n [ComfyUI] ModuleNotFoundError: No module named 'scipy'\n [ComfyUI] ModuleNotFoundError: No module named 'scipy'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Prompt executed in 19.07 seconds\n [ComfyUI] Prompt executed in 19.07 seconds\n Frame 9 saved (frame_008.jpg, t=19.1s)\n [capture-periodic] freeze=3ms shot=136ms unfreeze=55ms saved=True\n Execution complete (t=19.5s)\n Execution error: {'prompt_id': '22ea27a1-b2c3-4f5b-b2f4-98e7a1678c2d', 'node_id': '5', 'node_type': 'SharpPredict', 'executed': ['1', '2'], 'exception_message': 'No module named \\'scipy\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\\n return func(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 111, in execute\\n patcher = _load_sharp_model(model)\\n ^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py\", line 75, in _load_sharp_model\\n import comfy.model_patcher\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py\", line 25, in <module>\\n from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py\", line 21, in <module>\\n from ..sdpose import HeatmapHead\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py\", line 3, in <module>\\n from scipy.ndimage import gaussian_filter\\nModuleNotFoundError: No module named \\'scipy\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 536, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'focal_length_mm': [30], 'output_prefix': ['sharp'], 'model': [\"{'model_path': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/models/sharp/sharp_2572gikvuh.pt', 'precision': 'auto', 'dtype': 'bf16'}\"], 'image': ['tensor([[[[0.0039, 0.4902, 0.9608],\\n [0.0039, 0.4902, 0.9608],\\n [0.0039, 0.4902, 0.9608],\\n ...,\\n [0.0510, 0.0353, 0.0000],\\n [0.0510, 0.0353, 0.0000],\\n [0.0510, 0.0353, 0.0000]],\\n\\n [[0.0039, 0.4902, 0.9608],\\n [0.0039, 0.4902, 0.9608],\\n [0.0039, 0.4902, 0.9608],\\n ...,\\n [0.0510, 0.0353, 0.0000],\\n [0.0510, 0.0353, 0.0000],\\n [0.0510, 0.0353, 0.0000]],\\n\\n [[0.0039, 0.4902, 0.9608],\\n [0.0039, 0.4902, 0.9608],\\n [0.0039, 0.4902, 0.9608],\\n ...,\\n [0.0510, 0.0353, 0.0000],\\n [0.0510, 0.0353, 0.0000],\\n [0.0510, 0.0353, 0.0000]],\\n\\n ...,\\n\\n [[0.6824, 0.6196, 0.5373],\\n [0.6824, 0.6196, 0.5373],\\n [0.6824, 0.6196, 0.5373],\\n ...,\\n [0.5137, 0.4667, 0.4275],\\n [0.5137, 0.4667, 0.4275],\\n [0.5137, 0.4667, 0.4275]],\\n\\n [[0.6824, 0.6196, 0.5373],\\n [0.6824, 0.6196, 0.5373],\\n [0.6824, 0.6196, 0.5373],\\n ...,\\n [0.5059, 0.4667, 0.4392],\\n [0.5059, 0.4706, 0.4353],\\n [0.5059, 0.4706, 0.4353]],\\n\\n [[0.6824, 0.6196, 0.5373],\\n [0.6824, 0.6196, 0.5373],\\n [0.6824, 0.6196, 0.5373],\\n ...,\\n [0.5059, 0.4667, 0.4392],\\n [0.5059, 0.4706, 0.4353],\\n [0.5059, 0.4706, 0.4353]]]])'], 'prompt': [\"{'1': {'inputs': {'image': 'beach.jpg'}, 'class_type': 'LoadImage', '_meta': {'title': 'Load Image'}, 'is_changed': ['ee4f94632a5ec7038826e875829a62a81dc2a9b85ed59440f2eaa37b3704fa24']}, '2': {'inputs': {'precision': 'auto'}, 'class_type': 'LoadSharpModel', '_meta': {'title': '(Down)Load SHARP Model'}}, '4': {'inputs': {'preview_gaussian': '', 'ply_path': ['5', 0], 'extrinsics': ['5', 1], 'intrinsics': ['5', 2]}, 'class_type': 'GeomPackPreviewGaussian', '_meta': {'title': 'Preview Gaussian'}}, '5': {'inputs': {'focal_length_mm': 30.0, 'output_prefix': 'sharp', 'model': ['2', 0], 'image': ['1', 0]}, 'class_type': 'SharpPredict', '_meta': {'title': 'SHARP Predict (Image to PLY)'}}}\"], 'extra_pnginfo': [\"{'workflow': {'id': 'sharp-basic-workflow', 'revision': 0, 'last_node_id': 5, 'last_link_id': 10, 'nodes': [{'id': 2, 'type': 'LoadSharpModel', 'pos': [-150, -400], 'size': [270, 106.65625], 'flags': {}, 'order': 0, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'model_config', 'type': 'SHARP_MODEL_CONFIG', 'links': [6]}], 'properties': {'Node name for S&R': 'LoadSharpModel', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': '9f1b9c726e2cfc0118866c3df783e7f6bc895226'}, 'widgets_values': ['auto']}, {'id': 1, 'type': 'LoadImage', 'pos': [-150, -100], 'size': [274, 340], 'flags': {}, 'order': 1, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'IMAGE', 'type': 'IMAGE', 'links': [7]}, {'name': 'MASK', 'type': 'MASK', 'links': []}], 'properties': {'Node name for S&R': 'LoadImage', 'cnr_id': 'comfy-core', 'ver': '0.5.1'}, 'widgets_values': ['beach.jpg', 'image']}, {'id': 5, 'type': 'SharpPredict', 'pos': [181.546875, -251.55078125], 'size': [298.890625, 212], 'flags': {}, 'order': 2, 'mode': 0, 'inputs': [{'name': 'model', 'type': 'SHARP_MODEL_CONFIG', 'link': 6}, {'name': 'image', 'type': 'IMAGE', 'link': 7}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': None}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': None}], 'outputs': [{'name': 'ply_path', 'type': 'STRING', 'links': [8]}, {'name': 'extrinsics', 'type': 'EXTRINSICS', 'links': [9]}, {'name': 'intrinsics', 'type': 'INTRINSICS', 'links': [10]}], 'properties': {'Node name for S&R': 'SharpPredict', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': 'aa98b213e3d0770477bbf46046094c5cb8ff6052'}, 'widgets_values': [30, 'sharp']}, {'id': 4, 'type': 'GeomPackPreviewGaussian', 'pos': [629.92578125, -322.046875], 'size': [512, 658], 'flags': {}, 'order': 3, 'mode': 0, 'inputs': [{'name': 'ply_path', 'type': 'STRING', 'link': 8}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': 9}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': 10}], 'outputs': [], 'properties': {'Node name for S&R': 'GeomPackPreviewGaussian', 'aux_id': 'PozzettiAndrea/ComfyUI-GeometryPack', 'ver': 'b7df285fc5b3fef7aad434d8b6e8698efed6358b', 'cnr_id': 'comfyui-geometrypack'}, 'widgets_values': ['']}], 'links': [[6, 2, 0, 5, 0, 'SHARP_MODEL'], [7, 1, 0, 5, 1, 'IMAGE'], [8, 5, 0, 4, 0, 'STRING'], [9, 5, 1, 4, 1, 'EXTRINSICS'], [10, 5, 2, 4, 2, 'INTRINSICS']], 'groups': [], 'config': {}, 'extra': {'ds': {'scale': 1, 'offset': [300.79296875, 604.72265625]}, 'workflowRendererVersion': 'LG', 'frontendVersion': '1.43.18'}, 'version': 0.4}}\"]}, 'current_outputs': ['5', '1', '4', '2'], 'timestamp': 1778448220749}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': '22ea27a1-b2c3-4f5b-b2f4-98e7a1678c2d', 'node_id': '5', 'node_type': 'SharpPredict', 'executed': ['1', '2'], 'exception_message': 'No module named \\'scipy\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\\n return func(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 111, in execute\\n patcher = _load_sharp_model(model)\\n ^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py\", line 75, in _load_sharp_model\\n import comfy.model_patcher\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py\", line 25, in <module>\\n from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py\", line 21, in <module>\\n from ..sdpose import HeatmapHead\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py\", line 3, in <module>\\n from scipy.ndimage import gaussian_filter\\nModuleNotFoundError: No module named \\'scipy\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 536, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'focal_length_mm': [30], 'output_prefix': ['sharp'], 'model': [\"{'model_path': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/models/sharp/sharp_2572gikvuh.pt', 'precision': 'auto', 'dtype': 'bf16'}\"], 'image': ['tensor([[[[0.0039, 0.4902, 0.9608],\\n [0.0039, 0.4902, 0.9608],\\n [0.0039, 0.4902, 0.9608],\\n ...,\\n [0.0510, 0.0353, 0.0000],\\n [0.0510, 0.0353, 0.0000],\\n [0.0510, 0.0353, 0.0000]],\\n\\n [[0.0039, 0.4902, 0.9608],\\n [0.0039, 0.4902, 0.9608],\\n [0.0039, 0.4902, 0.9608],\\n ...,\\n [0.0510, 0.0353, 0.0000],\\n [0.0510, 0.0353, 0.0000],\\n [0.0510, 0.0353, 0.0000]],\\n\\n [[0.0039, 0.4902, 0.9608],\\n [0.0039, 0.4902, 0.9608],\\n [0.0039, 0.4902, 0.9608],\\n ...,\\n [0.0510, 0.0353, 0.0000],\\n [0.0510, 0.0353, 0.0000],\\n [0.0510, 0.0353, 0.0000]],\\n\\n ...,\\n\\n [[0.6824, 0.6196, 0.5373],\\n [0.6824, 0.6196, 0.5373],\\n [0.6824, 0.6196, 0.5373],\\n ...,\\n [0.5137, 0.4667, 0.4275],\\n [0.5137, 0.4667, 0.4275],\\n [0.5137, 0.4667, 0.4275]],\\n\\n [[0.6824, 0.6196, 0.5373],\\n [0.6824, 0.6196, 0.5373],\\n [0.6824, 0.6196, 0.5373],\\n ...,\\n [0.5059, 0.4667, 0.4392],\\n [0.5059, 0.4706, 0.4353],\\n [0.5059, 0.4706, 0.4353]],\\n\\n [[0.6824, 0.6196, 0.5373],\\n [0.6824, 0.6196, 0.5373],\\n [0.6824, 0.6196, 0.5373],\\n ...,\\n [0.5059, 0.4667, 0.4392],\\n [0.5059, 0.4706, 0.4353],\\n [0.5059, 0.4706, 0.4353]]]])'], 'prompt': [\"{'1': {'inputs': {'image': 'beach.jpg'}, 'class_type': 'LoadImage', '_meta': {'title': 'Load Image'}, 'is_changed': ['ee4f94632a5ec7038826e875829a62a81dc2a9b85ed59440f2eaa37b3704fa24']}, '2': {'inputs': {'precision': 'auto'}, 'class_type': 'LoadSharpModel', '_meta': {'title': '(Down)Load SHARP Model'}}, '4': {'inputs': {'preview_gaussian': '', 'ply_path': ['5', 0], 'extrinsics': ['5', 1], 'intrinsics': ['5', 2]}, 'class_type': 'GeomPackPreviewGaussian', '_meta': {'title': 'Preview Gaussian'}}, '5': {'inputs': {'focal_length_mm': 30.0, 'output_prefix': 'sharp', 'model': ['2', 0], 'image': ['1', 0]}, 'class_type': 'SharpPredict', '_meta': {'title': 'SHARP Predict (Image to PLY)'}}}\"], 'extra_pnginfo': [\"{'workflow': {'id': 'sharp-basic-workflow', 'revision': 0, 'last_node_id': 5, 'last_link_id': 10, 'nodes': [{'id': 2, 'type': 'LoadSharpModel', 'pos': [-150, -400], 'size': [270, 106.65625], 'flags': {}, 'order': 0, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'model_config', 'type': 'SHARP_MODEL_CONFIG', 'links': [6]}], 'properties': {'Node name for S&R': 'LoadSharpModel', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': '9f1b9c726e2cfc0118866c3df783e7f6bc895226'}, 'widgets_values': ['auto']}, {'id': 1, 'type': 'LoadImage', 'pos': [-150, -100], 'size': [274, 340], 'flags': {}, 'order': 1, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'IMAGE', 'type': 'IMAGE', 'links': [7]}, {'name': 'MASK', 'type': 'MASK', 'links': []}], 'properties': {'Node name for S&R': 'LoadImage', 'cnr_id': 'comfy-core', 'ver': '0.5.1'}, 'widgets_values': ['beach.jpg', 'image']}, {'id': 5, 'type': 'SharpPredict', 'pos': [181.546875, -251.55078125], 'size': [298.890625, 212], 'flags': {}, 'order': 2, 'mode': 0, 'inputs': [{'name': 'model', 'type': 'SHARP_MODEL_CONFIG', 'link': 6}, {'name': 'image', 'type': 'IMAGE', 'link': 7}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': None}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': None}], 'outputs': [{'name': 'ply_path', 'type': 'STRING', 'links': [8]}, {'name': 'extrinsics', 'type': 'EXTRINSICS', 'links': [9]}, {'name': 'intrinsics', 'type': 'INTRINSICS', 'links': [10]}], 'properties': {'Node name for S&R': 'SharpPredict', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': 'aa98b213e3d0770477bbf46046094c5cb8ff6052'}, 'widgets_values': [30, 'sharp']}, {'id': 4, 'type': 'GeomPackPreviewGaussian', 'pos': [629.92578125, -322.046875], 'size': [512, 658], 'flags': {}, 'order': 3, 'mode': 0, 'inputs': [{'name': 'ply_path', 'type': 'STRING', 'link': 8}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': 9\n... (truncated)", "hardware": {"os": "macOS-15.7.4-arm64-arm-64bit", "cpu": "arm"}}, "sharp_exif": {"src": "", "title": "sharp_exif", "status": "fail", "duration": "6.36", "log": "Capturing execution frames: sharp_exif.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Prompt has 4 nodes\n [ComfyUI] Node 2: LoadSharpModel\n [ComfyUI] Node 2: LoadSharpModel\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Node 7: SharpPredict\n [ComfyUI] Node 7: SharpPredict\n [ComfyUI] Inputs: {\"focal_length_mm\": [\"9\", 2], \"output_prefix\": \"sharp\", \"model\": [\"2\", 0], \"image\": [\"9\", 0]}\n [ComfyUI] Inputs: {\"focal_length_mm\": [\"9\", 2], \"output_prefix\": \"sharp\", \"model\": [\"2\", 0], \"image\": [\"9\", 0]}\n [ComfyUI] Node 8: GeomPackPreviewGaussian\n [ComfyUI] Node 8: GeomPackPreviewGaussian\n [ComfyUI] Inputs: {\"preview_gaussian\": \"\", \"ply_path\": [\"7\", 0], \"extrinsics\": [\"7\", 1], \"intrinsics\": [\"7\", 2]}\n [ComfyUI] Inputs: {\"preview_gaussian\": \"\", \"ply_path\": [\"7\", 0], \"extrinsics\": [\"7\", 1], \"intrinsics\": [\"7\", 2]}\n [ComfyUI] Node 9: LoadImageWithExif\n [ComfyUI] Node 9: LoadImageWithExif\n [ComfyUI] Inputs: {\"image\": \"eth3d.png\", \"default_focal_mm\": 30}\n [ComfyUI] Inputs: {\"image\": \"eth3d.png\", \"default_focal_mm\": 30}\n [ComfyUI] Generated prompt_id: 61bcb3cc-8293-440e-8c24-2ec195dacbb7\n [ComfyUI] Generated prompt_id: 61bcb3cc-8293-440e-8c24-2ec195dacbb7\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n Queuing workflow for execution...\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] [comfy-env] Running LoadImageWithExif: image: 'eth3d.png', default_focal_mm: 30.0\n [ComfyUI] [comfy-env] Running LoadImageWithExif: image: 'eth3d.png', default_focal_mm: 30.0\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_image_exif.LoadImageWithExif.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_image_exif.LoadImageWithExif.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-Sharp] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-Sharp] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-Sharp] Health check: ok\n [ComfyUI] [ComfyUI-Sharp] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=3 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=3 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] LoadImageWithExif done (0.47s): result: NodeOutput\n [ComfyUI] [comfy-env] LoadImageWithExif done (0.47s): result: NodeOutput\n [ComfyUI] [comfy-env] Running LoadSharpModel: precision: 'auto'\n [ComfyUI] [comfy-env] Running LoadSharpModel: precision: 'auto'\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.LoadSharpModel.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.LoadSharpModel.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-Sharp] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-Sharp] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-Sharp] Health check: ok\n [ComfyUI] [ComfyUI-Sharp] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=4 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=4 sending call_method\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] LoadSharpModel done (0.11s): result: NodeOutput\n [ComfyUI] [comfy-env] LoadSharpModel done (0.11s): result: NodeOutput\n [ComfyUI] [comfy-env] Running SharpPredict: focal_length_mm: 20.0, output_prefix: 'sharp', model: dict, image: torch.float32 [1,2022,3040,3] cpu\n [ComfyUI] [comfy-env] Running SharpPredict: focal_length_mm: 20.0, output_prefix: 'sharp', model: dict, image: torch.float32 [1,2022,3040,3] cpu\n [ComfyUI] [SubprocessWorker] call_method: nodes.predict.SharpPredict.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] call_method: nodes.predict.SharpPredict.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-Sharp] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-Sharp] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-Sharp] Health check: ok\n [ComfyUI] [ComfyUI-Sharp] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'image' shape: torch.Size([1, 2022, 3040, 3])\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'image' shape: torch.Size([1, 2022, 3040, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=5 sending call_method\n [ComfyUI] [SubprocessWorker] call_id=5 sending call_method\n [ComfyUI] [worker:ComfyUI-Sharp] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-Sharp] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'manager_path', 'storage_key', 'storage_size']\n [ComfyUI] [worker:ComfyUI-Sharp] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 2022, 3040, 3]\n [ComfyUI] [worker:ComfyUI-Sharp] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 2022, 3040, 3]\n [ComfyUI] [worker:ComfyUI-Sharp] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2022, 3040, 3])\n [ComfyUI] [worker:ComfyUI-Sharp] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 2022, 3040, 3])\n [ComfyUI] [SubprocessWorker] got response: error\n [ComfyUI] [SubprocessWorker] got response: error\n [ComfyUI] !!! Exception during processing !!! No module named 'scipy'\n [ComfyUI] !!! Exception during processing !!! No module named 'scipy'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py\", line 1762, in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\n [ComfyUI] return func(*args, **kwargs)\n [ComfyUI] return func(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 111, in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 111, in execute\n [ComfyUI] patcher = _load_sharp_model(model)\n [ComfyUI] patcher = _load_sharp_model(model)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py\", line 75, in _load_sharp_model\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py\", line 75, in _load_sharp_model\n [ComfyUI] import comfy.model_patcher\n [ComfyUI] import comfy.model_patcher\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py\", line 25, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py\", line 25, in <module>\n [ComfyUI] from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\n [ComfyUI] from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py\", line 21, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py\", line 21, in <module>\n [ComfyUI] from ..sdpose import HeatmapHead\n [ComfyUI] from ..sdpose import HeatmapHead\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py\", line 3, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py\", line 3, in <module>\n [ComfyUI] from scipy.ndimage import gaussian_filter\n [ComfyUI] from scipy.ndimage import gaussian_filter\n [ComfyUI] ModuleNotFoundError: No module named 'scipy'\n [ComfyUI] ModuleNotFoundError: No module named 'scipy'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] result = f(**inputs)\n [ComfyUI] ^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 536, in proxy\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 536, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] result = worker.call_method(\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\n [ComfyUI] raise WorkerError(\n [ComfyUI] raise WorkerError(\n [ComfyUI] comfy_env.isolation.workers.base.WorkerError: No module named 'scipy'\n [ComfyUI] comfy_env.isolation.workers.base.WorkerError: No module named 'scipy'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py\", line 1762, in main\n [ComfyUI] File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\n [ComfyUI] return func(*args, **kwargs)\n [ComfyUI] return func(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 111, in execute\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 111, in execute\n [ComfyUI] patcher = _load_sharp_model(model)\n [ComfyUI] patcher = _load_sharp_model(model)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py\", line 75, in _load_sharp_model\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py\", line 75, in _load_sharp_model\n [ComfyUI] import comfy.model_patcher\n [ComfyUI] import comfy.model_patcher\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py\", line 25, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py\", line 25, in <module>\n [ComfyUI] from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\n [ComfyUI] from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py\", line 21, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py\", line 21, in <module>\n [ComfyUI] from ..sdpose import HeatmapHead\n [ComfyUI] from ..sdpose import HeatmapHead\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py\", line 3, in <module>\n [ComfyUI] File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py\", line 3, in <module>\n [ComfyUI] from scipy.ndimage import gaussian_filter\n [ComfyUI] from scipy.ndimage import gaussian_filter\n [ComfyUI] ModuleNotFoundError: No module named 'scipy'\n [ComfyUI] ModuleNotFoundError: No module named 'scipy'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Prompt executed in 0.60 seconds\n [ComfyUI] Prompt executed in 0.60 seconds\n Execution complete (t=0.8s)\n Execution error: {'prompt_id': 'c6a73d72-afb0-4869-b0ee-8a1263a00919', 'node_id': '7', 'node_type': 'SharpPredict', 'executed': ['9', '2'], 'exception_message': 'No module named \\'scipy\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\\n return func(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 111, in execute\\n patcher = _load_sharp_model(model)\\n ^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py\", line 75, in _load_sharp_model\\n import comfy.model_patcher\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py\", line 25, in <module>\\n from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py\", line 21, in <module>\\n from ..sdpose import HeatmapHead\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py\", line 3, in <module>\\n from scipy.ndimage import gaussian_filter\\nModuleNotFoundError: No module named \\'scipy\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 536, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'focal_length_mm': [20], 'output_prefix': ['sharp'], 'model': [\"{'model_path': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/models/sharp/sharp_2572gikvuh.pt', 'precision': 'auto', 'dtype': 'bf16'}\"], 'image': ['tensor([[[[0.2157, 0.1647, 0.1569],\\n [0.2275, 0.1608, 0.1608],\\n [0.2275, 0.1647, 0.1529],\\n ...,\\n [0.4471, 0.4745, 0.4863],\\n [0.4510, 0.4745, 0.4863],\\n [0.4431, 0.4745, 0.4745]],\\n\\n [[0.2196, 0.1686, 0.1569],\\n [0.2314, 0.1647, 0.1608],\\n [0.2353, 0.1647, 0.1647],\\n ...,\\n [0.4549, 0.4784, 0.4706],\\n [0.4549, 0.4706, 0.4784],\\n [0.4431, 0.4706, 0.4667]],\\n\\n [[0.2314, 0.1725, 0.1569],\\n [0.2510, 0.1725, 0.1608],\\n [0.2392, 0.1725, 0.1686],\\n ...,\\n [0.4588, 0.4745, 0.4627],\\n [0.4510, 0.4745, 0.4667],\\n [0.4471, 0.4706, 0.4627]],\\n\\n ...,\\n\\n [[0.1569, 0.1647, 0.1843],\\n [0.1647, 0.1725, 0.1882],\\n [0.1490, 0.1686, 0.1922],\\n ...,\\n [0.1020, 0.1137, 0.1373],\\n [0.1137, 0.1176, 0.1412],\\n [0.0863, 0.1176, 0.1373]],\\n\\n [[0.1569, 0.1686, 0.1804],\\n [0.1569, 0.1647, 0.1961],\\n [0.1490, 0.1647, 0.1961],\\n ...,\\n [0.1059, 0.1216, 0.1294],\\n [0.1176, 0.1216, 0.1333],\\n [0.1059, 0.1137, 0.1373]],\\n\\n [[0.1608, 0.1686, 0.1843],\\n [0.1608, 0.1686, 0.1882],\\n [0.1569, 0.1686, 0.1882],\\n ...,\\n [0.1059, 0.1176, 0.1333],\\n [0.1137, 0.1176, 0.1333],\\n [0.1333, 0.1176, 0.1333]]]])'], 'prompt': [\"{'2': {'inputs': {'precision': 'auto'}, 'class_type': 'LoadSharpModel', '_meta': {'title': '(Down)Load SHARP Model'}}, '7': {'inputs': {'focal_length_mm': ['9', 2], 'output_prefix': 'sharp', 'model': ['2', 0], 'image': ['9', 0]}, 'class_type': 'SharpPredict', '_meta': {'title': 'SHARP Predict (Image to PLY)'}}, '8': {'inputs': {'preview_gaussian': '', 'ply_path': ['7', 0], 'extrinsics': ['7', 1], 'intrinsics': ['7', 2]}, 'class_type': 'GeomPackPreviewGaussian', '_meta': {'title': 'Preview Gaussian'}}, '9': {'inputs': {'image': 'eth3d.png', 'default_focal_mm': 30.0}, 'class_type': 'LoadImageWithExif', '_meta': {'title': 'Load Image with EXIF (Focal Length)'}}}\"], 'extra_pnginfo': [\"{'workflow': {'id': 'sharp-basic-workflow', 'revision': 0, 'last_node_id': 10, 'last_link_id': 21, 'nodes': [{'id': 2, 'type': 'LoadSharpModel', 'pos': [-150, -400], 'size': [270, 106.65625], 'flags': {}, 'order': 0, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'model_config', 'type': 'SHARP_MODEL_CONFIG', 'links': [11]}], 'properties': {'Node name for S&R': 'LoadSharpModel', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': '9f1b9c726e2cfc0118866c3df783e7f6bc895226'}, 'widgets_values': ['auto']}, {'id': 9, 'type': 'LoadImageWithExif', 'pos': [-208.74978010739324, -99.02778023242435], 'size': [342.28125, 420], 'flags': {}, 'order': 1, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'image', 'type': 'IMAGE', 'links': [19]}, {'name': 'mask', 'type': 'MASK', 'links': None}, {'name': 'focal_length_mm', 'type': 'FLOAT', 'links': [20]}], 'properties': {'Node name for S&R': 'LoadImageWithExif', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': 'c69751a59b587c3b83d0e37cfe2bab3bc838574a'}, 'widgets_values': ['eth3d.png', 30, 'image']}, {'id': 7, 'type': 'SharpPredict', 'pos': [226.15696022727278, -245.70490056818184], 'size': [298.890625, 212], 'flags': {}, 'order': 2, 'mode': 0, 'inputs': [{'name': 'model', 'type': 'SHARP_MODEL_CONFIG', 'link': 11}, {'name': 'image', 'type': 'IMAGE', 'link': 19}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': None}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': None}, {'name': 'focal_length_mm', 'shape': 7, 'type': 'FLOAT', 'widget': {'name': 'focal_length_mm'}, 'link': 20}], 'outputs': [{'name': 'ply_path', 'type': 'STRING', 'links': [16]}, {'name': 'extrinsics', 'type': 'EXTRINSICS', 'links': [17]}, {'name': 'intrinsics', 'type': 'INTRINSICS', 'links': [18]}], 'properties': {'Node name for S&R': 'SharpPredict', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': 'c69751a59b587c3b83d0e37cfe2bab3bc838574a'}, 'widgets_values': [30, 'sharp']}, {'id': 8, 'type': 'GeomPackPreviewGaussian', 'pos': [641.9426914835157, -275.49795068697], 'size': [512, 658], 'flags': {}, 'order': 3, 'mode': 0, 'inputs': [{'name': 'ply_path', 'type': 'STRING', 'link': 16}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': 17}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': 18}], 'outputs': [], 'properties': {'Node name for S&R': 'GeomPackPreviewGaussian', 'aux_id': 'PozzettiAndrea/ComfyUI-GeometryPack', 'ver': 'df6bf3d73d0dda9c6ad7428eb58a00dc8cbaf6ed', 'cnr_id': 'comfyui-geometrypack'}, 'widgets_values': ['']}], 'links': [[11, 2, 0, 7, 0, 'SHARP_MODEL'], [16, 7, 0, 8, 0, 'STRING'], [17, 7, 1, 8, 1, 'EXTRINSICS'], [18, 7, 2, 8, 2, 'INTRINSICS'], [19, 9, 0, 7, 1, 'IMAGE'], [20, 9, 2, 7, 4, 'FLOAT']], 'groups': [], 'config': {}, 'extra': {'ds': {'scale': 1.1, 'offset': [292.8560303656579, 525.3669699599554]}, 'workflowRendererVersion': 'LG', 'frontendVersion': '1.43.18'}, 'version': 0.4}}\"]}, 'current_outputs': ['7', '9', '8', '2'], 'timestamp': 1778448227714}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'c6a73d72-afb0-4869-b0ee-8a1263a00919', 'node_id': '7', 'node_type': 'SharpPredict', 'executed': ['9', '2'], 'exception_message': 'No module named \\'scipy\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfyui_pvenv_chvlb7n4/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/.ce/.pixi/envs/sharp-nodes/lib/python3.12/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\\n return func(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 111, in execute\\n patcher = _load_sharp_model(model)\\n ^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/load_model.py\", line 75, in _load_sharp_model\\n import comfy.model_patcher\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/model_base.py\", line 25, in <module>\\n from comfy.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py\", line 21, in <module>\\n from ..sdpose import HeatmapHead\\n File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/comfy/ldm/modules/sdpose.py\", line 3, in <module>\\n from scipy.ndimage import gaussian_filter\\nModuleNotFoundError: No module named \\'scipy\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 536, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'focal_length_mm': [20], 'output_prefix': ['sharp'], 'model': [\"{'model_path': '/Users/runner/work/comfy-gpu-ci/comfy-gpu-ci/test_workspaces/Sharp-2121/ComfyUI/models/sharp/sharp_2572gikvuh.pt', 'precision': 'auto', 'dtype': 'bf16'}\"], 'image': ['tensor([[[[0.2157, 0.1647, 0.1569],\\n [0.2275, 0.1608, 0.1608],\\n [0.2275, 0.1647, 0.1529],\\n ...,\\n [0.4471, 0.4745, 0.4863],\\n [0.4510, 0.4745, 0.4863],\\n [0.4431, 0.4745, 0.4745]],\\n\\n [[0.2196, 0.1686, 0.1569],\\n [0.2314, 0.1647, 0.1608],\\n [0.2353, 0.1647, 0.1647],\\n ...,\\n [0.4549, 0.4784, 0.4706],\\n [0.4549, 0.4706, 0.4784],\\n [0.4431, 0.4706, 0.4667]],\\n\\n [[0.2314, 0.1725, 0.1569],\\n [0.2510, 0.1725, 0.1608],\\n [0.2392, 0.1725, 0.1686],\\n ...,\\n [0.4588, 0.4745, 0.4627],\\n [0.4510, 0.4745, 0.4667],\\n [0.4471, 0.4706, 0.4627]],\\n\\n ...,\\n\\n [[0.1569, 0.1647, 0.1843],\\n [0.1647, 0.1725, 0.1882],\\n [0.1490, 0.1686, 0.1922],\\n ...,\\n [0.1020, 0.1137, 0.1373],\\n [0.1137, 0.1176, 0.1412],\\n [0.0863, 0.1176, 0.1373]],\\n\\n [[0.1569, 0.1686, 0.1804],\\n [0.1569, 0.1647, 0.1961],\\n [0.1490, 0.1647, 0.1961],\\n ...,\\n [0.1059, 0.1216, 0.1294],\\n [0.1176, 0.1216, 0.1333],\\n [0.1059, 0.1137, 0.1373]],\\n\\n [[0.1608, 0.1686, 0.1843],\\n [0.1608, 0.1686, 0.1882],\\n [0.1569, 0.1686, 0.1882],\\n ...,\\n [0.1059, 0.1176, 0.1333],\\n [0.1137, 0.1176, 0.1333],\\n [0.1333, 0.1176, 0.1333]]]])'], 'prompt': [\"{'2': {'inputs': {'precision': 'auto'}, 'class_type': 'LoadSharpModel', '_meta': {'title': '(Down)Load SHARP Model'}}, '7': {'inputs': {'focal_length_mm': ['9', 2], 'output_prefix': 'sharp', 'model': ['2', 0], 'image': ['9', 0]}, 'class_type': 'SharpPredict', '_meta': {'title': 'SHARP Predict (Image to PLY)'}}, '8': {'inputs': {'preview_gaussian': '', 'ply_path': ['7', 0], 'extrinsics': ['7', 1], 'intrinsics': ['7', 2]}, 'class_type': 'GeomPackPreviewGaussian', '_meta': {'title': 'Preview Gaussian'}}, '9': {'inputs': {'image': 'eth3d.png', 'default_focal_mm': 30.0}, 'class_type': 'LoadImageWithExif', '_meta': {'title': 'Load Image with EXIF (Focal Length)'}}}\"], 'extra_pnginfo': [\"{'workflow': {'id': 'sharp-basic-workflow', 'revision': 0, 'last_node_id': 10, 'last_link_id': 21, 'nodes': [{'id': 2, 'type': 'LoadSharpModel', 'pos': [-150, -400], 'size': [270, 106.65625], 'flags': {}, 'order': 0, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'model_config', 'type': 'SHARP_MODEL_CONFIG', 'links': [11]}], 'properties': {'Node name for S&R': 'LoadSharpModel', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': '9f1b9c726e2cfc0118866c3df783e7f6bc895226'}, 'widgets_values': ['auto']}, {'id': 9, 'type': 'LoadImageWithExif', 'pos': [-208.74978010739324, -99.02778023242435], 'size': [342.28125, 420], 'flags': {}, 'order': 1, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'image', 'type': 'IMAGE', 'links': [19]}, {'name': 'mask', 'type': 'MASK', 'links': None}, {'name': 'focal_length_mm', 'type': 'FLOAT', 'links': [20]}], 'properties': {'Node name for S&R': 'LoadImageWithExif', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': 'c69751a59b587c3b83d0e37cfe2bab3bc838574a'}, 'widgets_values': ['eth3d.png', 30, 'image']}, {'id': 7, 'type': 'SharpPredict', 'pos': [226.15696022727278, -245.70490056818184], 'size': [298.890625, 212], 'flags': {}, 'order': 2, 'mode': 0, 'inputs': [{'name': 'model', 'type': 'SHARP_MODEL_CONFIG', 'link': 11}, {'name': 'image', 'type': 'IMAGE', 'link': 19}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': None}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': None}, {'name': 'focal_length_mm', 'shape': 7, 'type': 'FLOAT', 'widget': {'name': 'focal_length_mm'}, 'link': 20}], 'outputs': [{'name': 'ply_path', 'type': 'STRING', 'links': [16]}, {'name': 'extrinsics', 'type': 'EXTRINSICS', 'links': [17]}, {'name': 'intrinsics', 'type': 'INTRINSICS', 'links': [18]}], 'properties': {'Node name for S&R': 'SharpPredict', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': 'c69751a59b587c3b83d0e37cfe2bab3bc838574a'}, 'widgets_values': [30, 'sharp']}, {'id': 8, 'type': 'GeomPackPreviewGaussian', 'pos': [641.9426914835157, -275.49795068697], 'size': [512, 658], 'flags': {}, 'order': 3, 'mode': 0, 'inputs': [{'name': 'ply_path', 'type': 'STRING', 'link': 16}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': 17}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': 18}], 'outputs': [], 'properties': {'Node name for S&R': 'GeomPackPreviewGaussian', 'aux_id': 'PozzettiAndrea/ComfyUI-GeometryPack', 'ver': 'df6bf3d73d0dda9c6ad7428eb58a00dc8cbaf6ed', 'cnr_id': 'comfyui-geometrypack'}, 'widgets_values': ['']}], 'links': [[11, 2, 0, 7, 0, 'SHARP_MODEL'], [16, 7, 0, 8, 0, 'STRING'], [17, 7, 1, 8, 1, 'EXTRINSICS'], [18, 7, 2, 8, 2, 'INTRINSICS'], [19, 9, 0, 7, 1, 'IMAGE'], [20, 9, 2, 7, 4, 'FLOAT']], 'groups': [], 'config': {}, 'extra': {'ds': {'scale': 1.1, 'offset': [292.8560303656579, 525.3669699599554]}, 'workflowRendererVersion': 'LG', 'frontendVersion': '1.43.18'}, 'version': 0.4}}\"]}, 'current_outputs': ['7', '9', '8', '2'], 'timestamp': 1778448227714}\n Details: Workflow: /private/var/folders/tb/y368xp_x10s3ty1b_mtl5mxr0000gn/T/comfy-test-run-qhb36rtm/ComfyUI-Sharp/workflows/sharp_exif.json\nNode error: SharpPredict", "hardware": {"os": "macOS-15.7.4-arm64-arm-64bit", "cpu": "arm"}}};
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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');
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if (hardware) {
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const parts = [];
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if (hardware.os) parts.push(hardware.os);
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if (hardware.cpu) parts.push(hardware.cpu);
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if (hardware.gpu) parts.push(hardware.gpu);
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hwEl.textContent = parts.join(' | ');
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} else {
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hwEl.textContent = status === 'skipped' ? '(Did not run on this machine)' : '';
|
|
}
|
|
|
|
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>
|