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PozzettiAndrea-ComfyUI-SAM3…/dev/linux-gpu/index.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>PozzettiAndrea/ComfyUI-SAM3DBody - Test Results</title>
<style>
* { margin: 0; padding: 0; box-sizing: border-box; }
body {
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h1 a:hover { color: #58a6ff; }
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/* Workflow Grid */
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/* Lightbox */
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.lightbox-close:hover {
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width: 48px;
height: 64px;
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z-index: 1001;
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align-items: center;
justify-content: center;
transition: opacity 0.15s;
padding: 0;
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}
.lightbox-nav:hover {
opacity: 1;
}
.lightbox-nav-left { left: 1rem; }
.lightbox-nav-right { right: 1rem; }
.lightbox-info {
display: flex;
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padding: 1rem 1.25rem;
background: #162033;
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border-radius: 8px;
margin-top: 1rem;
}
.lightbox-title {
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.lightbox-hardware {
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.lightbox-meta {
display: flex;
gap: 1rem;
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}
.lightbox-badge {
padding: 0.25rem 0.75rem;
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font-size: 0.8rem;
font-weight: 600;
text-transform: uppercase;
}
.lightbox-badge.pass {
background: rgba(63, 185, 80, 0.15);
color: #3fb950;
}
.lightbox-badge.fail {
background: rgba(248, 81, 73, 0.15);
color: #f85149;
}
.lightbox-duration {
color: #8ba3c1;
font-size: 0.85rem;
}
.lightbox-log {
background: #0f1923;
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padding: 1rem;
margin-top: 1rem;
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overflow-y: auto;
font-family: 'SFMono-Regular', 'Menlo', 'Monaco', monospace;
font-size: 0.8rem;
line-height: 1.5;
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.lightbox-log::-webkit-scrollbar {
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.lightbox-log::-webkit-scrollbar-thumb:hover {
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/* Resource Graph */
.resource-graph {
display: none;
margin-top: 1rem;
background: #162033;
border: 1px solid #243656;
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}
.resource-graph.active {
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.resource-graph-title {
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font-weight: 500;
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}
.resource-graph canvas {
width: 100%;
height: 120px;
cursor: crosshair;
}
.resource-legend {
display: flex;
gap: 1rem;
margin-top: 0.5rem;
font-size: 0.75rem;
color: #8ba3c1;
}
.resource-legend span {
display: flex;
align-items: center;
gap: 4px;
}
.resource-legend .dot {
width: 8px;
height: 8px;
border-radius: 50%;
}
.resource-legend .ram { background: #3fb950; }
.resource-legend .gpu { background: #d29922; }
/* Video Player */
.video-player {
display: none;
margin-top: 1rem;
background: #162033;
border: 1px solid #243656;
border-radius: 8px;
padding: 1rem;
}
.video-player.active {
display: block;
}
.video-controls {
display: flex;
align-items: center;
gap: 1rem;
margin-top: 0.5rem;
}
.video-play-btn {
background: #58a6ff;
color: #fff;
border: none;
padding: 0.4rem 1rem;
border-radius: 6px;
cursor: pointer;
font-size: 0.8rem;
font-weight: 500;
}
.video-play-btn:hover {
background: #79b8ff;
}
.video-frame-counter {
color: #8ba3c1;
font-size: 0.8rem;
}
.video-slider-container {
padding: 15px 0;
}
/* noUiSlider customization */
#video-slider {
height: 6px;
background: #1c2d44;
border: none;
box-shadow: none;
}
#video-slider .noUi-connect {
background: #58a6ff;
}
#video-slider .noUi-handle {
width: 16px;
height: 16px;
background: #58a6ff;
border: none;
border-radius: 50%;
box-shadow: none;
top: -5px;
right: -8px;
cursor: pointer;
}
#video-slider .noUi-handle:before,
#video-slider .noUi-handle:after {
display: none;
}
/* Pips (tick marks) */
.noUi-pips {
color: #4a6282;
}
.noUi-marker {
background: #243656;
width: 2px;
}
.noUi-marker-large {
height: 12px;
}
.noUi-value {
display: none;
}
/* Models Section */
.models-section {
margin-top: 2rem;
margin-bottom: 2rem;
}
.models-total {
font-size: 0.8rem;
color: #8ba3c1;
}
.models-folder {
background: #162033;
border: 1px solid #243656;
border-radius: 8px;
margin-bottom: 0.5rem;
overflow: hidden;
}
.models-folder-header {
display: flex;
justify-content: space-between;
align-items: center;
padding: 0.75rem 1rem;
cursor: pointer;
user-select: none;
list-style: none;
}
.models-folder-header::-webkit-details-marker {
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}
.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 {
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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;
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color: #8ba3c1;
word-break: break-all;
}
.models-file-size {
color: #4a6282;
white-space: nowrap;
margin-left: 1rem;
flex-shrink: 0;
}
/* Footer */
footer {
text-align: center;
padding: 2.5rem;
color: #4a6282;
font-size: 0.8rem;
}
footer a {
color: #58a6ff;
text-decoration: none;
}
footer a:hover {
text-decoration: underline;
}
/* Responsive */
@media (max-width: 600px) {
.workflow-grid {
grid-template-columns: 1fr !important;
}
.workflow-grid.view-list .workflow-card {
grid-template-columns: 1fr;
}
.workflow-grid.view-list .workflow-screenshot {
width: 100%;
height: auto;
aspect-ratio: 16/10;
}
.stats {
flex-direction: column;
align-items: flex-start;
}
.section-header {
flex-direction: column;
align-items: flex-start;
gap: 0.5rem;
}
.container {
padding: 1rem;
}
}
</style>
<link href="https://cdn.jsdelivr.net/npm/nouislider@15/dist/nouislider.min.css" rel="stylesheet">
<script src="https://cdn.jsdelivr.net/npm/nouislider@15/dist/nouislider.min.js"></script>
</head>
<body>
<header>
<h1><a href="https://github.com/PozzettiAndrea/PozzettiAndrea/ComfyUI-SAM3DBody">PozzettiAndrea/ComfyUI-SAM3DBody</a> Test Results</h1>
<div class="meta-chips">
<span class="meta-chip"><svg viewBox="0 0 16 16"><path d="M8 0a8 8 0 110 16A8 8 0 018 0zm.5 4.5a.5.5 0 00-1 0v3.793L5.854 9.854a.5.5 0 10.708.708l1.853-1.854a.5.5 0 00.085-.094V4.5z"/></svg> 2026-05-09 16:52 UTC</span> <span class="meta-chip"><svg viewBox="0 0 16 16"><path d="M2.5 4a.5.5 0 100 1 .5.5 0 000-1zM4 4.5a.5.5 0 01.5-.5h7a.5.5 0 010 1h-7a.5.5 0 01-.5-.5zM2.5 7a.5.5 0 100 1 .5.5 0 000-1zM4 7.5a.5.5 0 01.5-.5h7a.5.5 0 010 1h-7A.5.5 0 014 7.5zM2.5 10a.5.5 0 100 1 .5.5 0 000-1zM4 10.5a.5.5 0 01.5-.5h7a.5.5 0 010 1h-7a.5.5 0 01-.5-.5z"/></svg> Linux-6.8.0-107-generic-x86_64-with-glibc2.35</span> <span class="meta-chip"><svg viewBox="0 0 16 16"><path d="M5 0a.5.5 0 01.5.5V2h1V.5a.5.5 0 011 0V2h1V.5a.5.5 0 011 0V2h.5A2.5 2.5 0 0112.5 4.5H14v1h-1.5v1H14v1h-1.5v1H14v1h-1.5A2.5 2.5 0 0110 12h-.5v1.5a.5.5 0 01-1 0V12h-1v1.5a.5.5 0 01-1 0V12H6v1.5a.5.5 0 01-1 0V12h-.5A2.5 2.5 0 012 9.5H.5v-1H2v-1H.5v-1H2v-1H.5v-1H2A2.5 2.5 0 014.5 2V.5A.5.5 0 015 0zm-.5 4A1.5 1.5 0 003 5.5v4A1.5 1.5 0 004.5 11h6a1.5 1.5 0 001.5-1.5v-4A1.5 1.5 0 0010.5 4h-6z"/></svg> AMD Ryzen 5 3600 6-Core Processor</span> <span class="meta-chip"><svg viewBox="0 0 16 16"><path d="M4 8a1.5 1.5 0 113 0 1.5 1.5 0 01-3 0zm7.5-1.5a1.5 1.5 0 100 3 1.5 1.5 0 000-3zM3 2a2 2 0 00-2 2v8a2 2 0 002 2h10a2 2 0 002-2V4a2 2 0 00-2-2H3z"/></svg> NVIDIA GeForce RTX 5060</span>
</div>
</header>
<div class="container">
<div class="summary">
<div class="progress-wrapper">
<div class="progress-bar">
<div class="progress-fill has-failures" style="width: 0.0%"></div>
</div>
<span class="progress-label">0.0%</span>
</div>
<div class="stats">
<span class="stat-badge stat-pass">0 passed</span>
<span class="stat-badge stat-fail">4 failed</span>
<span class="stat-total">0/4 tests</span>
</div>
</div>
<div class="section-header">
<h2 class="section-title">Workflows</h2>
<div class="view-controls">
<button class="view-btn active" onclick="setView('grid')">Grid</button>
<button class="view-btn" onclick="setView('list')">List</button>
</div>
</div>
<div class="workflow-grid" id="workflow-grid">
<div class="workflow-card clickable failed" onclick="openLightboxByName('multiple_masks')">
<div class="workflow-screenshot placeholder">No screenshot</div>
<div class="workflow-info">
<div class="workflow-header">
<span class="workflow-name" title="multiple_masks">multiple_masks</span>
<span class="workflow-badge fail">fail</span>
</div>
<div class="workflow-meta">
<span>27.51s</span>
</div>
</div>
</div>
<div class="workflow-card clickable failed" onclick="openLightboxByName('multiple_masks_depthcorrected')">
<div class="workflow-screenshot placeholder">No screenshot</div>
<div class="workflow-info">
<div class="workflow-header">
<span class="workflow-name" title="multiple_masks_depthcorrected">multiple_masks_depthcorrected</span>
<span class="workflow-badge fail">fail</span>
</div>
<div class="workflow-meta">
<span>58.03s</span>
</div>
</div>
</div>
<div class="workflow-card clickable failed" onclick="openLightboxByName('rigging')">
<div class="workflow-screenshot placeholder">No screenshot</div>
<div class="workflow-info">
<div class="workflow-header">
<span class="workflow-name" title="rigging">rigging</span>
<span class="workflow-badge fail">fail</span>
</div>
<div class="workflow-meta">
<span>7.60s</span>
</div>
</div>
</div>
<div class="workflow-card clickable failed" onclick="openLightboxByName('workflow')">
<div class="workflow-screenshot placeholder">No screenshot</div>
<div class="workflow-info">
<div class="workflow-header">
<span class="workflow-name" title="workflow">workflow</span>
<span class="workflow-badge fail">fail</span>
</div>
<div class="workflow-meta">
<span>7.13s</span>
</div>
</div>
</div>
</div>
<div class="failed-section">
<h2>Failed Tests</h2>
<div class="failed-item">
<div class="failed-header">
<span class="failed-name">multiple_masks</span>
<span class="failed-duration">27.51s</span>
</div>
<div class="failed-error">Workflow execution failed: {&#x27;prompt_id&#x27;: &#x27;c64f54b4-4856-4fae-b210-c9f837b5d6b6&#x27;, &#x27;node_id&#x27;: &#x27;16&#x27;, &#x27;node_type&#x27;: &#x27;SAM3DBodyProcessMultiple&#x27;, &#x27;executed&#x27;: [&#x27;35&#x27;, &#x27;36&#x27;, &#x27;24&#x27;, &#x27;39&#x27;], &#x27;exception_message&#x27;: &quot;No module named &#x27;roma&#x27;\n&quot;, &#x27;exception_type&#x27;: &#x27;ModuleNotFoundError&#x27;, &#x27;traceback&#x27;: [&#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, 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&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, 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&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, line 297, in process_inputs\n result = f(**inputs)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py&quot;, line 149, in wrapped_func\n return method(locked_class, **inputs)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py&quot;, line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process_multiple.py&quot;, line 1116, in execute\n from .sam_3d_body import SAM3DBodyEstimator\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py&quot;, line 5, in &lt;module&gt;\n from .build_models import load_sam_3d_body\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py&quot;, line 5, in &lt;module&gt;\n from .model import SAM3DBody\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py&quot;, line 12, in &lt;module&gt;\n import roma\n&#x27;], &#x27;current_inputs&#x27;: {&#x27;inference_type&#x27;: [&#x27;full&#x27;], &#x27;adjust_position_from_depth&#x27;: [False], &#x27;model&#x27;: [&quot;{&#x27;model_path&#x27;: &#x27;/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody&#x27;, &#x27;ckpt_path&#x27;: &#x27;/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/model.safetensors&#x27;, &#x27;mhr_path&#x27;: &#x27;/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/assets/mhr_model.pt&#x27;, &#x27;precision&#x27;: &#x27;bf16&#x27;}&quot;], &#x27;image&#x27;: [&#x27;tensor([[[[0.2902, 0.4667, 0.5961],\n [0.2902, 0.4667, 0.5961],\n [0.2902, 0.4667, 0.5961],\n ...,\n [0.3294, 0.5765, 0.7137],\n [0.3451, 0.5882, 0.7333],\n [0.3686, 0.6118, 0.7569]],\n\n [[0.2902, 0.4667, 0.5961],\n [0.2902, 0.4667, 0.5961],\n [0.2902, 0.4667, 0.5961],\n ...,\n [0.3490, 0.5608, 0.6941],\n [0.3529, 0.5647, 0.6980],\n [0.3647, 0.5765, 0.7098]],\n\n [[0.2902, 0.4667, 0.5961],\n [0.2902, 0.4667, 0.5961],\n [0.2902, 0.4667, 0.5961],\n ...,\n [0.3765, 0.5373, 0.6471],\n [0.3725, 0.5333, 0.6431],\n [0.3765, 0.5373, 0.6471]],\n\n ...,\n\n [[0.4941, 0.4824, 0.4157],\n [0.4941, 0.4824, 0.4157],\n [0.4980, 0.4863, 0.4196],\n ...,\n [0.5647, 0.5569, 0.5059],\n [0.5647, 0.5569, 0.5059],\n [0.5647, 0.5569, 0.5059]],\n\n [[0.5098, 0.4980, 0.4314],\n [0.5098, 0.4980, 0.4314],\n [0.5137, 0.5020, 0.4353],\n ...,\n [0.5647, 0.5569, 0.5059],\n [0.5647, 0.5569, 0.5059],\n [0.5647, 0.5569, 0.5059]],\n\n [[0.5176, 0.5059, 0.4392],\n [0.5216, 0.5098, 0.4431],\n [0.5216, 0.5098, 0.4431],\n ...,\n [0.5647, 0.5569, 0.5059],\n [0.5647, 0.5569, 0.5059],\n [0.5647, 0.5569, 0.5059]]]])&#x27;], &#x27;masks&#x27;: [&#x27;tensor([[[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]],\n\n [[0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n ...,\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.],\n [0., 0., 0., ..., 0., 0., 0.]]])&#x27;]}, &#x27;current_outputs&#x27;: [&#x27;35&#x27;, &#x27;29&#x27;, &#x27;24&#x27;, &#x27;4&#x27;, &#x27;18&#x27;, &#x27;16&#x27;, &#x27;39&#x27;, &#x27;36&#x27;], &#x27;timestamp&#x27;: 1778345498027}
Details:
Workflow: /node/ComfyUI-SAM3DBody/workflows/multiple_masks.json
Node error: SAM3DBodyProcessMultiple</div>
</div>
<div class="failed-item">
<div class="failed-header">
<span class="failed-name">multiple_masks_depthcorrected</span>
<span class="failed-duration">58.03s</span>
</div>
<div class="failed-error">Workflow execution failed: {&#x27;prompt_id&#x27;: &#x27;19985d97-9730-402d-988d-51a97abb6d93&#x27;, &#x27;node_id&#x27;: &#x27;16&#x27;, &#x27;node_type&#x27;: &#x27;SAM3DBodyProcessMultiple&#x27;, &#x27;executed&#x27;: [&#x27;35&#x27;, &#x27;41&#x27;, &#x27;24&#x27;, &#x27;59&#x27;, &#x27;60&#x27;, &#x27;40&#x27;, &#x27;39&#x27;, &#x27;44&#x27;, &#x27;46&#x27;, &#x27;43&#x27;, &#x27;36&#x27;], &#x27;exception_message&#x27;: &quot;No module named &#x27;roma&#x27;\n&quot;, &#x27;exception_type&#x27;: &#x27;ModuleNotFoundError&#x27;, &#x27;traceback&#x27;: [&#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, 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&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, 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&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, line 297, in process_inputs\n result = f(**inputs)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py&quot;, line 149, in wrapped_func\n return method(locked_class, **inputs)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py&quot;, line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process_multiple.py&quot;, line 1116, in execute\n from .sam_3d_body import SAM3DBodyEstimator\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py&quot;, line 5, in &lt;module&gt;\n from .build_models import load_sam_3d_body\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py&quot;, line 5, in &lt;module&gt;\n from .model import SAM3DBody\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py&quot;, line 12, in &lt;module&gt;\n import roma\n&#x27;], &#x27;current_inputs&#x27;: {&#x27;inference_type&#x27;: [&#x27;full&#x27;], &#x27;adjust_position_from_depth&#x27;: [True], &#x27;model&#x27;: [&quot;{&#x27;model_path&#x27;: &#x27;/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody&#x27;, &#x27;ckpt_path&#x27;: &#x27;/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/model.safetensors&#x27;, &#x27;mhr_path&#x27;: &#x27;/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/assets/mhr_model.pt&#x27;, &#x27;precision&#x27;: &#x27;bf16&#x27;}&quot;], &#x27;image&#x27;: [&#x27;tensor([[[[0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n ...,\n [0.0275, 0.0314, 0.0000],\n [0.0745, 0.0549, 0.0000],\n [0.1490, 0.1216, 0.0667],\n [0.1922, 0.1451, 0.0980],\n [0.2392, 0.1843, 0.1412],\n [0.1608, 0.1059, 0.0627]],\n\n [[0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n ...,\n [0.0549, 0.0471, 0.0000],\n [0.0824, 0.0667, 0.0078],\n [0.1686, 0.1333, 0.0824],\n [0.1961, 0.1529, 0.1059],\n [0.2353, 0.1804, 0.1373],\n [0.1569, 0.0902, 0.0510]],\n\n [[0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n ...,\n [0.0706, 0.0510, 0.0000],\n [0.1059, 0.0784, 0.0275],\n [0.1922, 0.1451, 0.0980],\n [0.2118, 0.1569, 0.1137],\n [0.2314, 0.1686, 0.1255],\n [0.1373, 0.0627, 0.0275]],\n\n [[0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n [0.0078, 0.0588, 0.0392],\n ...,\n [0.0706, 0.0431, 0.0000],\n [0.1412, 0.0980, 0.0510],\n [0.2078, 0.1529, 0.1098],\n [0.2275, 0.1647, 0.1216],\n [0.2353, 0.1608, 0.1216],\n [0.1294, 0.0471, 0.0118]],\n\n [[0.0235, 0.0627, 0.0510],\n [0.0235, 0.0627, 0.0510],\n [0.0235, 0.0627, 0.0510],\n [0.0196, 0.0588, 0.0471],\n [0.0196, 0.0588, 0.0471],\n [0.0157, 0.0549, 0.0392],\n ...,\n [0.1608, 0.1137, 0.0667],\n [0.1882, 0.1333, 0.0902],\n [0.2196, 0.1451, 0.1098],\n [0.2078, 0.1255, 0.0902],\n [0.2235, 0.1294, 0.0980],\n [0.1451, 0.0392, 0.0118]],\n\n [[0.0196, 0.0588, 0.0471],\n [0.0196, 0.0588, 0.0471],\n [0.0196, 0.0588, 0.0471],\n [0.0196, 0.0588, 0.0471],\n [0.0157, 0.0549, 0.0392],\n [0.0157, 0.0549, 0.0392],\n ...,\n [0.2157, 0.1608, 0.1176],\n [0.2235, 0.1569, 0.1176],\n [0.2392, 0.1569, 0.1216],\n [0.2196, 0.1255, 0.0941],\n [0.2196, 0.1176, 0.0902],\n [0.1451, 0.0314, 0.0078]],\n\n ...,\n\n [[0.4235, 0.1961, 0.1216],\n [0.5725, 0.3373, 0.2549],\n [0.5412, 0.3059, 0.2078],\n [0.5843, 0.3373, 0.2235],\n [0.6078, 0.3412, 0.2157],\n [0.6314, 0.3529, 0.2078],\n ...,\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039]],\n\n [[0.4314, 0.1922, 0.1294],\n [0.5216, 0.2824, 0.2118],\n [0.5373, 0.2941, 0.2039],\n [0.5804, 0.3216, 0.2235],\n [0.6078, 0.3333, 0.2118],\n [0.6431, 0.3608, 0.2157],\n ...,\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039]],\n\n [[0.4275, 0.1882, 0.1255],\n [0.5176, 0.2706, 0.2039],\n [0.5333, 0.2824, 0.1961],\n [0.5686, 0.3098, 0.2078],\n [0.5961, 0.3216, 0.2000],\n [0.6353, 0.3451, 0.2118],\n ...,\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039]],\n\n [[0.4078, 0.1686, 0.1059],\n [0.5020, 0.2549, 0.1843],\n [0.5176, 0.2627, 0.1804],\n [0.5529, 0.2941, 0.1961],\n [0.5804, 0.3059, 0.1843],\n [0.6196, 0.3294, 0.1961],\n ...,\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039]],\n\n [[0.4000, 0.1608, 0.0980],\n [0.4902, 0.2431, 0.1765],\n [0.5059, 0.2549, 0.1686],\n [0.5412, 0.2824, 0.1804],\n [0.5725, 0.2980, 0.1765],\n [0.6118, 0.3216, 0.1882],\n ...,\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039],\n [0.0039, 0.0039, 0.0039]],\n\n [[0.4000, 0.1529, 0.0941],\n [0.4588, 0.2118, 0.1451],\n [0.5059, 0.2549, 0.1686],\n [0.5373, 0.2667, 0.1725],\n [0.5765, 0.2941, 0.1765],\n [0.6118, 0.3216, 0.1882],\n ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]]]])&#x27;], &#x27;masks&#x27;: [&#x27;tensor([[[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\n\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n ...,\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]]])&#x27;], &#x27;depth_map&#x27;: [&#x27;tensor([[[[2.4994, 2.4994, 2.4994],\n [2.5016, 2.5016, 2.5016],\n [2.4987, 2.4987, 2.4987],\n [2.4986, 2.4986, 2.4986],\n [2.4949, 2.4949, 2.4949],\n [2.4948, 2.4948, 2.4948],\n ...,\n [1.5907, 1.5907, 1.5907],\n [1.5880, 1.5880, 1.5880],\n [1.5869, 1.5869, 1.5869],\n [1.5825, 1.5825, 1.5825],\n [1.5709, 1.5709, 1.5709],\n [1.5437, 1.5437, 1.5437]],\n\n [[2.4693, 2.4693, 2.4693],\n [2.4917, 2.4917, 2.4917],\n [2.5065, 2.5065, 2.5065],\n [2.5075, 2.5075, 2.5075],\n [2.4992, 2.4992, 2.4992],\n [2.4992, 2.4992, 2.4992],\n ...,\n [1.5874, 1.5874, 1.5874],\n [1.5856, 1.5856, 1.5856],\n [1.5860, 1.5860, 1.5860],\n [1.5774, 1.5774, 1.5774],\n [1.5694, 1.5694, 1.5694],\n [1.5479, 1.5479, 1.5479]],\n\n [[2.4990, 2.4990, 2.4990],\n [2.5041, 2.5041, 2.5041],\n [2.5021, 2.5021, 2.5021],\n [2.4999, 2.4999, 2.4999],\n [2.4993, 2.4993, 2.4993],\n [2.4979, 2.4979, 2.4979],\n ...,\n [1.5886, 1.5886, 1.5886],\n [1.5859, 1.5859, 1.5859],\n [1.5838, 1.5838, 1.5838],\n [1.5781, 1.5781, 1.5781],\n [1.5675, 1.5675, 1.5675],\n [1.5638, 1.5638, 1.5638]],\n\n [[2.5060, 2.5060, 2.5060],\n [2.5031, 2.5031, 2.5031],\n [2.5017, 2.5017, 2.5017],\n [2.5048, 2.5048, 2.5048],\n [2.5006, 2.5006, 2.5006],\n [2.5001, 2.5001, 2.5001],\n ...,\n [1.5889, 1.5889, 1.5889],\n [1.5860, 1.5860, 1.5860],\n [1.5831, 1.5831, 1.5831],\n [1.5770, 1.5770, 1.5770],\n [1.5680, 1.5680, 1.5680],\n [1.5159, 1.5159, 1.5159]],\n\n [[2.5063, 2.5063, 2.5063],\n [2.5001, 2.5001, 2.5001],\n [2.5040, 2.5040, 2.5040],\n [2.5085, 2.5085, 2.5085],\n [2.5012, 2.5012, 2.5012],\n [2.5031, 2.5031, 2.5031],\n ...,\n [1.5884, 1.5884, 1.5884],\n [1.5847, 1.5847, 1.5847],\n [1.5807, 1.5807, 1.5807],\n [1.5744, 1.5744, 1.5744],\n [1.5637, 1.5637, 1.5637],\n [1.5257, 1.5257, 1.5257]],\n\n [[2.5132, 2.5132, 2.5132],\n [2.5047, 2.5047, 2.5047],\n [2.5088, 2.5088, 2.5088],\n [2.5101, 2.5101, 2.5101],\n [2.5043, 2.5043, 2.5043],\n [2.5064, 2.5064, 2.5064],\n ...,\n [1.5881, 1.5881, 1.5881],\n [1.5842, 1.5842, 1.5842],\n [1.5800, 1.5800, 1.5800],\n [1.5733, 1.5733, 1.5733],\n [1.5622, 1.5622, 1.5622],\n [1.5316, 1.5316, 1.5316]],\n\n ...,\n\n [[1.3419, 1.3419, 1.3419],\n [1.3528, 1.3528, 1.3528],\n [1.3539, 1.3539, 1.3539],\n [1.3554, 1.3554, 1.3554],\n [1.3548, 1.3548, 1.3548],\n [1.3545, 1.3545, 1.3545],\n ...,\n [1.0922, 1.0922, 1.0922],\n [1.0926, 1.0926, 1.0926],\n [1.0921, 1.0921, 1.0921],\n [1.0922, 1.0922, 1.0922],\n [1.0919, 1.0919, 1.0919],\n [1.0955, 1.0955, 1.0955]],\n\n [[1.3369, 1.3369, 1.3369],\n [1.3446, 1.3446, 1.3446],\n [1.3521, 1.3521, 1.3521],\n [1.3536, 1.3536, 1.3536],\n [1.3518, 1.3518, 1.3518],\n [1.3518, 1.3518, 1.3518],\n ...,\n [1.0920, 1.0920, 1.0920],\n [1.0924, 1.0924, 1.0924],\n [1.0920, 1.0920, 1.0920],\n [1.0925, 1.0925, 1.0925],\n [1.0923, 1.0923, 1.0923],\n [1.0954, 1.0954, 1.0954]],\n\n [[1.3366, 1.3366, 1.3366],\n [1.3510, 1.3510, 1.3510],\n [1.3515, 1.3515, 1.3515],\n [1.3519, 1.3519, 1.3519],\n [1.3514, 1.3514, 1.3514],\n [1.3509, 1.3509, 1.3509],\n ...,\n [1.0920, 1.0920, 1.0920],\n [1.0923, 1.0923, 1.0923],\n [1.0919, 1.0919, 1.0919],\n [1.0924, 1.0924, 1.0924],\n [1.0925, 1.0925, 1.0925],\n [1.0951, 1.0951, 1.0951]],\n\n [[1.3365, 1.3365, 1.3365],\n [1.3459, 1.3459, 1.3459],\n [1.3436, 1.3436, 1.3436],\n [1.3499, 1.3499, 1.3499],\n [1.3462, 1.3462, 1.3462],\n [1.3476, 1.3476, 1.3476],\n ...,\n [1.0909, 1.0909, 1.0909],\n [1.0912, 1.0912, 1.0912],\n [1.0909, 1.0909, 1.0909],\n [1.0923, 1.0923, 1.0923],\n [1.0925, 1.0925, 1.0925],\n [1.0947, 1.0947, 1.0947]],\n\n [[1.3461, 1.3461, 1.3461],\n [1.3361, 1.3361, 1.3361],\n [1.3416, 1.3416, 1.3416],\n [1.3461, 1.3461, 1.3461],\n [1.3425, 1.3425, 1.3425],\n [1.3442, 1.3442, 1.3442],\n ...,\n [1.0949, 1.0949, 1.0949],\n [1.0949, 1.0949, 1.0949],\n [1.0941, 1.0941, 1.0941],\n [1.0947, 1.0947, 1.0947],\n [1.0943, 1.0943, 1.0943],\n [1.0963, 1.0963, 1.0963]],\n\n [[1.3287, 1.3287, 1.3287],\n [1.3381, 1.3381, 1.3381],\n [1.3172, 1.3172, 1.3172],\n [1.3230, 1.3230, 1.3230],\n [1.3234, 1.3234, 1.3234],\n [1.3263, 1.3263, 1.3263],\n ...,\n [1.0938, 1.0938, 1.0938],\n [1.0931, 1.0931, 1.0931],\n [1.0933, 1.0933, 1.0933],\n [1.0938, 1.0938, 1.0938],\n [1.0902, 1.0902, 1.0902],\n [1.0993, 1.0993, 1.0993]]]])&#x27;], &#x27;intrinsics&#x27;: [&#x27;tensor([[[2.7941e+03, 0.0000e+00, 6.0000e+02, 0.0000e+00],\n [0.0000e+00, 2.7589e+03, 2.4800e+02, 0.0000e+00],\n [0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00],\n [0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00]]])&#x27;], &#x27;depth_confidence&#x27;: [&#x27;tensor([[[[1.0722e-04, 1.0722e-04, 1.0722e-04],\n [1.7060e-05, 1.7060e-05, 1.7060e-05],\n [1.4908e-05, 1.4908e-05, 1.4908e-05],\n [7.6037e-06, 7.6037e-06, 7.6037e-06],\n [4.9320e-06, 4.9320e-06, 4.9320e-06],\n [4.2822e-06, 4.2822e-06, 4.2822e-06],\n ...,\n [1.6143e-03, 1.6143e-03, 1.6143e-03],\n [1.6490e-03, 1.6490e-03, 1.6490e-03],\n [1.2263e-03, 1.2263e-03, 1.2263e-03],\n [1.4704e-03, 1.4704e-03, 1.4704e-03],\n [2.3616e-03, 2.3616e-03, 2.3616e-03],\n [2.4363e-03, 2.4363e-03, 2.4363e-03]],\n\n [[6.6127e-06, 6.6127e-06, 6.6127e-06],\n [1.4701e-06, 1.4701e-06, 1.4701e-06],\n [2.3377e-06, 2.3377e-06, 2.3377e-06],\n [1.1503e-06, 1.1503e-06, 1.1503e-06],\n [5.7655e-07, 5.7655e-07, 5.7655e-07],\n [4.8448e-07, 4.8448e-07, 4.8448e-07],\n ...,\n [5.7728e-04, 5.7728e-04, 5.7728e-04],\n [6.8183e-04, 6.8183e-04, 6.8183e-04],\n [6.4139e-04, 6.4139e-04, 6.4139e-04],\n [7.0301e-04, 7.0301e-04, 7.0301e-04],\n [6.9062e-04, 6.9062e-04, 6.9062e-04],\n [1.1831e-03, 1.1831e-03, 1.1831e-03]],\n\n [[9.6641e-06, 9.6641e-06, 9.6641e-06],\n [2.1171e-06, 2.1171e-06, 2.1171e-06],\n [1.7980e-06, 1.7980e-06, 1.7980e-06],\n [6.8167e-07, 6.8167e-07, 6.8167e-07],\n [3.1917e-07, 3.1917e-07, 3.1917e-07],\n [2.2853e-07, 2.2853e-07, 2.2853e-07],\n ...,\n [2.6391e-04, 2.6391e-04, 2.6391e-04],\n [3.8075e-04, 3.8075e-04, 3.8075e-04],\n [5.2815e-04, 5.2815e-04, 5.2815e-04],\n [5.6958e-04, 5.6958e-04, 5.6958e-04],\n [3.3014e-04, 3.3014e-04, 3.3014e-04],\n [6.5810e-04, 6.5810e-04, 6.5810e-04]],\n\n [[6.8197e-06, 6.8197e-06, 6.8197e-06],\n [1.3512e-06, 1.3512e-06, 1.3512e-06],\n [8.6361e-07, 8.6361e-07, 8.6361e-07],\n [3.2132e-07, 3.2132e-07, 3.2132e-07],\n [1.6287e-07, 1.6287e-07, 1.6287e-07],\n [1.1638e-07, 1.1638e-07, 1.1638e-07],\n ...,\n [1.3412e-04, 1.3412e-04, 1.3412e-04],\n [2.1984e-04, 2.1984e-04, 2.1984e-04],\n [3.6000e-04, 3.6000e-04, 3.6000e-04],\n [3.4549e-04, 3.4549e-04, 3.4549e-04],\n [1.5917e-04, 1.5917e-04, 1.5917e-04],\n [4.1965e-04, 4.1965e-04, 4.1965e-04]],\n\n [[4.5010e-06, 4.5010e-06, 4.5010e-06],\n [9.1914e-07, 9.1914e-07, 9.1914e-07],\n [5.2497e-07, 5.2497e-07, 5.2497e-07],\n [2.5088e-07, 2.5088e-07, 2.5088e-07],\n [1.5950e-07, 1.5950e-07, 1.5950e-07],\n [1.1428e-07, 1.1428e-07, 1.1428e-07],\n ...,\n [1.1458e-04, 1.1458e-04, 1.1458e-04],\n [1.8206e-04, 1.8206e-04, 1.8206e-04],\n [2.8289e-04, 2.8289e-04, 2.8289e-04],\n [2.6222e-04, 2.6222e-04, 2.6222e-04],\n [1.2040e-04, 1.2040e-04, 1.2040e-04],\n [3.7538e-04, 3.7538e-04, 3.7538e-04]],\n\n [[3.5684e-06, 3.5684e-06, 3.5684e-06],\n [7.5009e-07, 7.5009e-07, 7.5009e-07],\n [3.9134e-07, 3.9134e-07, 3.9134e-07],\n [1.8200e-07, 1.8200e-07, 1.8200e-07],\n [1.1441e-07, 1.1441e-07, 1.1441e-07],\n [9.0576e-08, 9.0576e-08, 9.0576e-08],\n ...,\n [9.9107e-05, 9.9107e-05, 9.9107e-05],\n [1.4976e-04, 1.4976e-04, 1.4976e-04],\n [2.2077e-04, 2.2077e-04, 2.2077e-04],\n [2.0847e-04, 2.0847e-04, 2.0847e-04],\n [1.0814e-04, 1.0814e-04, 1.0814e-04],\n [2.9064e-04, 2.9064e-04, 2.9064e-04]],\n\n ...,\n\n [[7.5373e-04, 7.5373e-04, 7.5373e-04],\n [2.0481e-04, 2.0481e-04, 2.0481e-04],\n [2.6249e-04, 2.6249e-04, 2.6249e-04],\n [2.3024e-04, 2.3024e-04, 2.3024e-04],\n [2.8037e-04, 2.8037e-04, 2.8037e-04],\n [2.9112e-04, 2.9112e-04, 2.9112e-04],\n ...,\n [1.4675e-01, 1.4675e-01, 1.4675e-01],\n [1.4729e-01, 1.4729e-01, 1.4729e-01],\n [1.4110e-01, 1.4110e-01, 1.4110e-01],\n [1.4376e-01, 1.4376e-01, 1.4376e-01],\n [1.5175e-01, 1.5175e-01, 1.5175e-01],\n [1.7014e-01, 1.7014e-01, 1.7014e-01]],\n\n [[9.2812e-04, 9.2812e-04, 9.2812e-04],\n [3.4935e-04, 3.4935e-04, 3.4935e-04],\n [3.5411e-04, 3.5411e-04, 3.5411e-04],\n [2.4217e-04, 2.4217e-04, 2.4217e-04],\n [2.8294e-04, 2.8294e-04, 2.8294e-04],\n [3.0784e-04, 3.0784e-04, 3.0784e-04],\n ...,\n [1.5163e-01, 1.5163e-01, 1.5163e-01],\n [1.5209e-01, 1.5209e-01, 1.5209e-01],\n [1.4554e-01, 1.4554e-01, 1.4554e-01],\n [1.4778e-01, 1.4778e-01, 1.4778e-01],\n [1.5609e-01, 1.5609e-01, 1.5609e-01],\n [1.7610e-01, 1.7610e-01, 1.7610e-01]],\n\n [[8.6518e-04, 8.6518e-04, 8.6518e-04],\n [5.3731e-04, 5.3731e-04, 5.3731e-04],\n [4.5469e-04, 4.5469e-04, 4.5469e-04],\n [2.5154e-04, 2.5154e-04, 2.5154e-04],\n [2.4402e-04, 2.4402e-04, 2.4402e-04],\n [2.4130e-04, 2.4130e-04, 2.4130e-04],\n ...,\n [1.5072e-01, 1.5072e-01, 1.5072e-01],\n [1.5100e-01, 1.5100e-01, 1.5100e-01],\n [1.4486e-01, 1.4486e-01, 1.4486e-01],\n [1.4746e-01, 1.4746e-01, 1.4746e-01],\n [1.5797e-01, 1.5797e-01, 1.5797e-01],\n [1.7203e-01, 1.7203e-01, 1.7203e-01]],\n\n [[5.8928e-04, 5.8928e-04, 5.8928e-04],\n [5.1575e-04, 5.1575e-04, 5.1575e-04],\n [6.1673e-04, 6.1673e-04, 6.1673e-04],\n [3.9440e-04, 3.9440e-04, 3.9440e-04],\n [3.4898e-04, 3.4898e-04, 3.4898e-04],\n [3.0121e-04, 3.0121e-04, 3.0121e-04],\n ...,\n [1.5267e-01, 1.5267e-01, 1.5267e-01],\n [1.5285e-01, 1.5285e-01, 1.5285e-01],\n [1.4792e-01, 1.4792e-01, 1.4792e-01],\n [1.5248e-01, 1.5248e-01, 1.5248e-01],\n [1.6789e-01, 1.6789e-01, 1.6789e-01],\n [1.6697e-01, 1.6697e-01, 1.6697e-01]],\n\n [[4.7749e-04, 4.7749e-04, 4.7749e-04],\n [3.4118e-04, 3.4118e-04, 3.4118e-04],\n [5.8580e-04, 5.8580e-04, 5.8580e-04],\n [5.8557e-04, 5.8557e-04, 5.8557e-04],\n [5.4929e-04, 5.4929e-04, 5.4929e-04],\n [4.5238e-04, 4.5238e-04, 4.5238e-04],\n ...,\n [1.6629e-01, 1.6629e-01, 1.6629e-01],\n [1.6653e-01, 1.6653e-01, 1.6653e-01],\n [1.6278e-01, 1.6278e-01, 1.6278e-01],\n [1.7606e-01, 1.7606e-01, 1.7606e-01],\n [1.9825e-01, 1.9825e-01, 1.9825e-01],\n [2.0145e-01, 2.0145e-01, 2.0145e-01]],\n\n [[3.0432e-03, 3.0432e-03, 3.0432e-03],\n [1.3587e-03, 1.3587e-03, 1.3587e-03],\n [3.0736e-03, 3.0736e-03, 3.0736e-03],\n [4.0627e-03, 4.0627e-03, 4.0627e-03],\n [3.0159e-03, 3.0159e-03, 3.0159e-03],\n [2.1808e-03, 2.1808e-03, 2.1808e-03],\n ...,\n [1.5714e-01, 1.5714e-01, 1.5714e-01],\n [1.5742e-01, 1.5742e-01, 1.5742e-01],\n [1.5292e-01, 1.5292e-01, 1.5292e-01],\n [1.7898e-01, 1.7898e-01, 1.7898e-01],\n [1.9823e-01, 1.9823e-01, 1.9823e-01],\n [1.8285e-01, 1.8285e-01, 1.8285e-01]]]])&#x27;]}, &#x27;current_outputs&#x27;: [&#x27;35&#x27;, &#x27;29&#x27;, &#x27;41&#x27;, &#x27;24&#x27;, &#x27;4&#x27;, &#x27;46&#x27;, &#x27;59&#x27;, &#x27;40&#x27;, &#x27;58&#x27;, &#x27;60&#x27;, &#x27;18&#x27;, &#x27;16&#x27;, &#x27;39&#x27;, &#x27;44&#x27;, &#x27;43&#x27;, &#x27;36&#x27;], &#x27;timestamp&#x27;: 1778345555850}
Details:
Workflow: /node/ComfyUI-SAM3DBody/workflows/multiple_masks_depthcorrected.json
Node error: SAM3DBodyProcessMultiple</div>
</div>
<div class="failed-item">
<div class="failed-header">
<span class="failed-name">rigging</span>
<span class="failed-duration">7.60s</span>
</div>
<div class="failed-error">Workflow execution failed: {&#x27;prompt_id&#x27;: &#x27;86d43c54-decc-4a1f-8e51-87806a12a70f&#x27;, &#x27;node_id&#x27;: &#x27;10&#x27;, &#x27;node_type&#x27;: &#x27;SAM3DBodyProcess&#x27;, &#x27;executed&#x27;: [&#x27;3&#x27;, &#x27;15&#x27;], &#x27;exception_message&#x27;: &quot;No module named &#x27;roma&#x27;\n&quot;, &#x27;exception_type&#x27;: &#x27;ModuleNotFoundError&#x27;, &#x27;traceback&#x27;: [&#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, 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&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, 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&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, line 297, in process_inputs\n result = f(**inputs)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py&quot;, line 149, in wrapped_func\n return method(locked_class, **inputs)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py&quot;, line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py&quot;, line 161, in execute\n from .sam_3d_body import SAM3DBodyEstimator\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py&quot;, line 5, in &lt;module&gt;\n from .build_models import load_sam_3d_body\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py&quot;, line 5, in &lt;module&gt;\n from .model import SAM3DBody\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py&quot;, line 12, in &lt;module&gt;\n import roma\n&#x27;], &#x27;current_inputs&#x27;: {&#x27;bbox_threshold&#x27;: [0.8], &#x27;inference_type&#x27;: [&#x27;full&#x27;], &#x27;model&#x27;: [&quot;{&#x27;model_path&#x27;: &#x27;/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody&#x27;, &#x27;ckpt_path&#x27;: &#x27;/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/model.safetensors&#x27;, &#x27;mhr_path&#x27;: &#x27;/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/assets/mhr_model.pt&#x27;, &#x27;precision&#x27;: &#x27;bf16&#x27;}&quot;], &#x27;image&#x27;: [&#x27;tensor([[[[0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8745, 0.8078, 0.7373],\n [0.8745, 0.8078, 0.7373],\n ...,\n [0.6510, 0.3333, 0.2667],\n [0.6353, 0.3333, 0.2627],\n [0.6314, 0.3333, 0.2784],\n [0.6235, 0.3412, 0.2824],\n [0.6196, 0.3569, 0.2941],\n [0.6196, 0.3608, 0.2980]],\n\n [[0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n ...,\n [0.6471, 0.3294, 0.2627],\n [0.6314, 0.3294, 0.2588],\n [0.6275, 0.3294, 0.2745],\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3529, 0.2902],\n [0.6118, 0.3529, 0.2902]],\n\n [[0.8784, 0.8118, 0.7412],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n ...,\n [0.6471, 0.3294, 0.2627],\n [0.6314, 0.3294, 0.2588],\n [0.6275, 0.3294, 0.2745],\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3529, 0.2902],\n [0.6118, 0.3529, 0.2902]],\n\n [[0.8863, 0.8196, 0.7490],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n ...,\n [0.6510, 0.3333, 0.2667],\n [0.6353, 0.3333, 0.2627],\n [0.6314, 0.3333, 0.2784],\n [0.6196, 0.3373, 0.2784],\n [0.6118, 0.3490, 0.2863],\n [0.6118, 0.3529, 0.2902]],\n\n [[0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n ...,\n [0.6510, 0.3333, 0.2667],\n [0.6353, 0.3333, 0.2627],\n [0.6275, 0.3294, 0.2745],\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3451, 0.2863],\n [0.6118, 0.3490, 0.2863]],\n\n [[0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8902, 0.8235, 0.7529],\n ...,\n [0.6471, 0.3294, 0.2627],\n [0.6314, 0.3294, 0.2667],\n [0.6275, 0.3294, 0.2745],\n [0.6157, 0.3333, 0.2745],\n [0.6157, 0.3451, 0.2863],\n [0.6157, 0.3529, 0.2902]],\n\n ...,\n\n [[0.2863, 0.2078, 0.2157],\n [0.2863, 0.2078, 0.2157],\n [0.2863, 0.2039, 0.2235],\n [0.2902, 0.2078, 0.2275],\n [0.2941, 0.2039, 0.2275],\n [0.2863, 0.1961, 0.2196],\n ...,\n [0.4157, 0.3490, 0.3216],\n [0.4118, 0.3451, 0.3176],\n [0.4078, 0.3412, 0.3137],\n [0.4118, 0.3451, 0.3176],\n [0.3882, 0.3216, 0.2941],\n [0.3843, 0.3176, 0.2902]],\n\n [[0.2784, 0.2000, 0.2078],\n [0.2784, 0.2000, 0.2078],\n [0.2824, 0.2000, 0.2196],\n [0.2824, 0.2000, 0.2196],\n [0.2902, 0.2000, 0.2235],\n [0.2863, 0.1961, 0.2196],\n ...,\n [0.4588, 0.3922, 0.3647],\n [0.4706, 0.4039, 0.3765],\n [0.4706, 0.4039, 0.3765],\n [0.4549, 0.3882, 0.3608],\n [0.4275, 0.3608, 0.3333],\n [0.4235, 0.3569, 0.3294]],\n\n [[0.2784, 0.1961, 0.2157],\n [0.2745, 0.1922, 0.2118],\n [0.2745, 0.1961, 0.2039],\n [0.2745, 0.1961, 0.2039],\n [0.2824, 0.1961, 0.2078],\n [0.2863, 0.2000, 0.2118],\n ...,\n [0.4627, 0.3882, 0.3647],\n [0.4706, 0.3961, 0.3725],\n [0.4627, 0.3961, 0.3686],\n [0.4549, 0.3882, 0.3608],\n [0.4353, 0.3686, 0.3412],\n [0.4431, 0.3765, 0.3490]],\n\n [[0.2784, 0.1961, 0.2157],\n [0.2745, 0.1922, 0.2118],\n [0.2667, 0.1882, 0.1961],\n [0.2667, 0.1882, 0.1961],\n [0.2745, 0.1882, 0.2000],\n [0.2784, 0.1922, 0.2039],\n ...,\n [0.4471, 0.3725, 0.3490],\n [0.4627, 0.3882, 0.3647],\n [0.4627, 0.3961, 0.3686],\n [0.4588, 0.3922, 0.3647],\n [0.4588, 0.3922, 0.3647],\n [0.4667, 0.4000, 0.3725]],\n\n [[0.2824, 0.2000, 0.2196],\n [0.2784, 0.1961, 0.2157],\n [0.2784, 0.1922, 0.2039],\n [0.2745, 0.1882, 0.2000],\n [0.2745, 0.1882, 0.2000],\n [0.2824, 0.1961, 0.2078],\n ...,\n [0.4431, 0.3686, 0.3529],\n [0.4588, 0.3843, 0.3686],\n [0.4667, 0.3922, 0.3765],\n [0.4667, 0.3922, 0.3765],\n [0.4392, 0.3647, 0.3490],\n [0.4431, 0.3686, 0.3529]],\n\n [[0.2824, 0.2000, 0.2196],\n [0.2863, 0.2039, 0.2235],\n [0.2902, 0.2039, 0.2157],\n [0.2863, 0.2000, 0.2118],\n [0.2863, 0.2000, 0.2118],\n [0.2902, 0.2039, 0.2157],\n ...,\n [0.4078, 0.3333, 0.3176],\n [0.4235, 0.3490, 0.3333],\n [0.4275, 0.3529, 0.3373],\n [0.4196, 0.3451, 0.3294],\n [0.4157, 0.3412, 0.3255],\n [0.4196, 0.3451, 0.3294]]]])&#x27;], &#x27;mask&#x27;: [&#x27;tensor([[[1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n ...,\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.]]])&#x27;]}, &#x27;current_outputs&#x27;: [&#x27;3&#x27;, &#x27;15&#x27;, &#x27;12&#x27;, &#x27;4&#x27;, &#x27;10&#x27;, &#x27;13&#x27;], &#x27;timestamp&#x27;: 1778345564057}
Details:
Workflow: /node/ComfyUI-SAM3DBody/workflows/rigging.json
Node error: SAM3DBodyProcess</div>
</div>
<div class="failed-item">
<div class="failed-header">
<span class="failed-name">workflow</span>
<span class="failed-duration">7.13s</span>
</div>
<div class="failed-error">Workflow execution failed: {&#x27;prompt_id&#x27;: &#x27;5122a672-1454-4da1-9b14-2a2e3d67f298&#x27;, &#x27;node_id&#x27;: &#x27;13&#x27;, &#x27;node_type&#x27;: &#x27;SAM3DBodyProcess&#x27;, &#x27;executed&#x27;: [&#x27;3&#x27;, &#x27;12&#x27;], &#x27;exception_message&#x27;: &quot;No module named &#x27;roma&#x27;\n&quot;, &#x27;exception_type&#x27;: &#x27;ModuleNotFoundError&#x27;, &#x27;traceback&#x27;: [&#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, 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&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, 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&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, line 309, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/execution.py&quot;, line 297, in process_inputs\n result = f(**inputs)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py&quot;, line 149, in wrapped_func\n return method(locked_class, **inputs)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py&quot;, line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py&quot;, line 161, in execute\n from .sam_3d_body import SAM3DBodyEstimator\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py&quot;, line 5, in &lt;module&gt;\n from .build_models import load_sam_3d_body\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py&quot;, line 5, in &lt;module&gt;\n from .model import SAM3DBody\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py&quot;, line 12, in &lt;module&gt;\n import roma\n&#x27;], &#x27;current_inputs&#x27;: {&#x27;bbox_threshold&#x27;: [0.8], &#x27;inference_type&#x27;: [&#x27;full&#x27;], &#x27;model&#x27;: [&quot;{&#x27;model_path&#x27;: &#x27;/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody&#x27;, &#x27;ckpt_path&#x27;: &#x27;/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/model.safetensors&#x27;, &#x27;mhr_path&#x27;: &#x27;/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/assets/mhr_model.pt&#x27;, &#x27;precision&#x27;: &#x27;bf16&#x27;}&quot;], &#x27;image&#x27;: [&#x27;tensor([[[[0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8745, 0.8078, 0.7373],\n [0.8745, 0.8078, 0.7373],\n ...,\n [0.6510, 0.3333, 0.2667],\n [0.6353, 0.3333, 0.2627],\n [0.6314, 0.3333, 0.2784],\n [0.6235, 0.3412, 0.2824],\n [0.6196, 0.3569, 0.2941],\n [0.6196, 0.3608, 0.2980]],\n\n [[0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n [0.8784, 0.8118, 0.7412],\n ...,\n [0.6471, 0.3294, 0.2627],\n [0.6314, 0.3294, 0.2588],\n [0.6275, 0.3294, 0.2745],\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3529, 0.2902],\n [0.6118, 0.3529, 0.2902]],\n\n [[0.8784, 0.8118, 0.7412],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n ...,\n [0.6471, 0.3294, 0.2627],\n [0.6314, 0.3294, 0.2588],\n [0.6275, 0.3294, 0.2745],\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3529, 0.2902],\n [0.6118, 0.3529, 0.2902]],\n\n [[0.8863, 0.8196, 0.7490],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n ...,\n [0.6510, 0.3333, 0.2667],\n [0.6353, 0.3333, 0.2627],\n [0.6314, 0.3333, 0.2784],\n [0.6196, 0.3373, 0.2784],\n [0.6118, 0.3490, 0.2863],\n [0.6118, 0.3529, 0.2902]],\n\n [[0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n [0.8824, 0.8157, 0.7451],\n ...,\n [0.6510, 0.3333, 0.2667],\n [0.6353, 0.3333, 0.2627],\n [0.6275, 0.3294, 0.2745],\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3451, 0.2863],\n [0.6118, 0.3490, 0.2863]],\n\n [[0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8863, 0.8196, 0.7490],\n [0.8902, 0.8235, 0.7529],\n ...,\n [0.6471, 0.3294, 0.2627],\n [0.6314, 0.3294, 0.2667],\n [0.6275, 0.3294, 0.2745],\n [0.6157, 0.3333, 0.2745],\n [0.6157, 0.3451, 0.2863],\n [0.6157, 0.3529, 0.2902]],\n\n ...,\n\n [[0.2863, 0.2078, 0.2157],\n [0.2863, 0.2078, 0.2157],\n [0.2863, 0.2039, 0.2235],\n [0.2902, 0.2078, 0.2275],\n [0.2941, 0.2039, 0.2275],\n [0.2863, 0.1961, 0.2196],\n ...,\n [0.4157, 0.3490, 0.3216],\n [0.4118, 0.3451, 0.3176],\n [0.4078, 0.3412, 0.3137],\n [0.4118, 0.3451, 0.3176],\n [0.3882, 0.3216, 0.2941],\n [0.3843, 0.3176, 0.2902]],\n\n [[0.2784, 0.2000, 0.2078],\n [0.2784, 0.2000, 0.2078],\n [0.2824, 0.2000, 0.2196],\n [0.2824, 0.2000, 0.2196],\n [0.2902, 0.2000, 0.2235],\n [0.2863, 0.1961, 0.2196],\n ...,\n [0.4588, 0.3922, 0.3647],\n [0.4706, 0.4039, 0.3765],\n [0.4706, 0.4039, 0.3765],\n [0.4549, 0.3882, 0.3608],\n [0.4275, 0.3608, 0.3333],\n [0.4235, 0.3569, 0.3294]],\n\n [[0.2784, 0.1961, 0.2157],\n [0.2745, 0.1922, 0.2118],\n [0.2745, 0.1961, 0.2039],\n [0.2745, 0.1961, 0.2039],\n [0.2824, 0.1961, 0.2078],\n [0.2863, 0.2000, 0.2118],\n ...,\n [0.4627, 0.3882, 0.3647],\n [0.4706, 0.3961, 0.3725],\n [0.4627, 0.3961, 0.3686],\n [0.4549, 0.3882, 0.3608],\n [0.4353, 0.3686, 0.3412],\n [0.4431, 0.3765, 0.3490]],\n\n [[0.2784, 0.1961, 0.2157],\n [0.2745, 0.1922, 0.2118],\n [0.2667, 0.1882, 0.1961],\n [0.2667, 0.1882, 0.1961],\n [0.2745, 0.1882, 0.2000],\n [0.2784, 0.1922, 0.2039],\n ...,\n [0.4471, 0.3725, 0.3490],\n [0.4627, 0.3882, 0.3647],\n [0.4627, 0.3961, 0.3686],\n [0.4588, 0.3922, 0.3647],\n [0.4588, 0.3922, 0.3647],\n [0.4667, 0.4000, 0.3725]],\n\n [[0.2824, 0.2000, 0.2196],\n [0.2784, 0.1961, 0.2157],\n [0.2784, 0.1922, 0.2039],\n [0.2745, 0.1882, 0.2000],\n [0.2745, 0.1882, 0.2000],\n [0.2824, 0.1961, 0.2078],\n ...,\n [0.4431, 0.3686, 0.3529],\n [0.4588, 0.3843, 0.3686],\n [0.4667, 0.3922, 0.3765],\n [0.4667, 0.3922, 0.3765],\n [0.4392, 0.3647, 0.3490],\n [0.4431, 0.3686, 0.3529]],\n\n [[0.2824, 0.2000, 0.2196],\n [0.2863, 0.2039, 0.2235],\n [0.2902, 0.2039, 0.2157],\n [0.2863, 0.2000, 0.2118],\n [0.2863, 0.2000, 0.2118],\n [0.2902, 0.2039, 0.2157],\n ...,\n [0.4078, 0.3333, 0.3176],\n [0.4235, 0.3490, 0.3333],\n [0.4275, 0.3529, 0.3373],\n [0.4196, 0.3451, 0.3294],\n [0.4157, 0.3412, 0.3255],\n [0.4196, 0.3451, 0.3294]]]])&#x27;], &#x27;mask&#x27;: [&#x27;tensor([[[1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n ...,\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.]]])&#x27;]}, &#x27;current_outputs&#x27;: [&#x27;3&#x27;, &#x27;15&#x27;, &#x27;12&#x27;, &#x27;4&#x27;, &#x27;10&#x27;, &#x27;13&#x27;], &#x27;timestamp&#x27;: 1778345571438}
Details:
Workflow: /node/ComfyUI-SAM3DBody/workflows/workflow.json
Node error: SAM3DBodyProcess</div>
</div>
</div>
<div class="models-section">
<div class="section-header">
<h2 class="section-title">Downloaded Models</h2>
<span class="models-total">14 files &middot; 7.7 GB</span>
</div>
<details class="models-folder" open>
<summary class="models-folder-header">
<span class="models-folder-name">models/depthanything3/</span>
<span class="models-folder-meta">
<span class="models-folder-size">5.1 GB</span>
</span>
</summary>
<div class="models-file-list">
<div class="models-file"><span class="models-file-path">da3_giant.safetensors</span><span class="models-file-size">5.1 GB</span></div>
<div class="models-file"><span class="models-file-path">.cache/huggingface/CACHEDIR.TAG</span><span class="models-file-size">191.0 B</span></div>
<div class="models-file"><span class="models-file-path">.cache/huggingface/download/model.safetensors.metadata</span><span class="models-file-size">125.0 B</span></div>
<div class="models-file"><span class="models-file-path">.cache/huggingface/.gitignore</span><span class="models-file-size">1.0 B</span></div>
</div>
</details>
<details class="models-folder" open>
<summary class="models-folder-header">
<span class="models-folder-name">models/sam3dbody/</span>
<span class="models-folder-meta">
<span class="models-folder-size">2.6 GB</span>
</span>
</summary>
<div class="models-file-list">
<div class="models-file"><span class="models-file-path">model.safetensors</span><span class="models-file-size">2.0 GB</span></div>
<div class="models-file"><span class="models-file-path">assets/mhr_model.pt</span><span class="models-file-size">663.9 MB</span></div>
<div class="models-file"><span class="models-file-path">.gitattributes</span><span class="models-file-size">1.5 KB</span></div>
<div class="models-file"><span class="models-file-path">model_config.yaml</span><span class="models-file-size">1.5 KB</span></div>
<div class="models-file"><span class="models-file-path">.cache/huggingface/CACHEDIR.TAG</span><span class="models-file-size">191.0 B</span></div>
<div class="models-file"><span class="models-file-path">.cache/huggingface/download/model.safetensors.metadata</span><span class="models-file-size">125.0 B</span></div>
<div class="models-file"><span class="models-file-path">.cache/huggingface/download/assets/mhr_model.pt.metadata</span><span class="models-file-size">125.0 B</span></div>
<div class="models-file"><span class="models-file-path">.cache/huggingface/download/.gitattributes.metadata</span><span class="models-file-size">101.0 B</span></div>
<div class="models-file"><span class="models-file-path">.cache/huggingface/download/model_config.yaml.metadata</span><span class="models-file-size">101.0 B</span></div>
<div class="models-file"><span class="models-file-path">.cache/huggingface/.gitignore</span><span class="models-file-size">1.0 B</span></div>
</div>
</details>
</div>
</div>
<div class="lightbox" id="lightbox">
<button class="lightbox-close" onclick="closeLightbox()">&times;</button>
<button class="lightbox-nav lightbox-nav-left" onclick="navigateLightbox(-1)">&#8249;</button>
<button class="lightbox-nav lightbox-nav-right" onclick="navigateLightbox(1)">&#8250;</button>
<div class="lightbox-content">
<img id="lightbox-img" src="" alt="">
<video id="lightbox-video" controls preload="metadata" style="display:none; max-width:90vw; max-height:80vh; background:#000;"></video>
<div class="video-player" id="video-player">
<div class="video-slider-container">
<div id="video-slider"></div>
</div>
<div class="video-controls">
<span class="video-frame-counter" id="video-frame-counter">0.0s / 0.0s</span>
</div>
</div>
<div class="resource-graph" id="resource-graph">
<div class="resource-graph-title">Resource Usage</div>
<canvas id="resource-canvas"></canvas>
<div class="resource-legend">
<span><span class="dot ram"></span> RAM (GB)</span>
<span id="gpu-legend" style="display:none"><span class="dot gpu"></span> VRAM (GB)</span>
</div>
</div>
<div class="lightbox-info">
<div>
<span class="lightbox-title" id="lightbox-title"></span>
<span class="lightbox-hardware" id="lightbox-hardware"></span>
</div>
<div class="lightbox-meta">
<span class="lightbox-badge" id="lightbox-badge"></span>
<span class="lightbox-duration" id="lightbox-duration"></span>
</div>
</div>
<pre class="lightbox-log" id="lightbox-log"></pre>
</div>
</div>
<div class="img-overlay" id="img-overlay">
<img id="img-overlay-content" src="" alt="">
</div>
<footer>
Generated by <a href="https://github.com/PozzettiAndrea/comfy-test">comfy-test</a>
</footer>
<script>
function setView(mode) {
const grid = document.getElementById('workflow-grid');
grid.className = mode === 'list' ? 'workflow-grid view-list' : 'workflow-grid';
document.querySelectorAll('.view-controls .view-btn').forEach(btn => {
btn.classList.toggle('active', btn.textContent.trim().toLowerCase() === mode);
});
}
const workflowData = {"multiple_masks": {"src": "", "title": "multiple_masks", "status": "fail", "duration": "27.51", "log": "Capturing execution frames: multiple_masks.json\n [ComfyUI] [DEPRECATION WARNING] Detected import of deprecated legacy API: /extensions/core/widgetInputs.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n Queuing workflow for execution...\n [ComfyUI] Prompt has 8 nodes\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"16\", 1]}\n [ComfyUI] Node 16: SAM3DBodyProcessMultiple\n [ComfyUI] Inputs: {\"inference_type\": \"full\", \"adjust_position_from_depth\": false, \"model\": [\"24\", 0], \"image\": [\"36\", 0], \"masks\": [\"39\", 0]}\n [ComfyUI] Node 18: SAM3DBodyExportMultipleFBX\n [ComfyUI] Inputs: {\"output_filename\": \"sam3d_multi_rigged.fbx\", \"combine\": true, \"multi_mesh_data\": [\"16\", 0]}\n [ComfyUI] Node 24: LoadSAM3DBodyModel\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Node 29: Preview3D\n [ComfyUI] Inputs: {\"model_file\": [\"18\", 0], \"image\": \"\"}\n [ComfyUI] Node 35: MultibandLoad\n [ComfyUI] Inputs: {\"image\": \"people.npz\", \"normalize\": true}\n [ComfyUI] Node 36: MultibandToImage\n [ComfyUI] Inputs: {\"channels\": \"0,1,2\", \"multiband\": [\"35\", 0]}\n [ComfyUI] Node 39: MultibandToMasks\n [ComfyUI] Inputs: {\"channels\": \"0\", \"auto_detect_masks\": true, \"multiband\": [\"35\", 0]}\n [ComfyUI] Generated prompt_id: a3351a49-11f8-466b-b73d-e6ca21259ab2\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] Precision: bf16\n [ComfyUI] Model not found locally. Downloading from HuggingFace...\n [ComfyUI] HTTP Request: GET https://huggingface.co/api/models/apozz/sam-3d-body-safetensors/revision/main \"HTTP/1.1 200 OK\"\n [ComfyUI] \n [ComfyUI] Downloading (incomplete total...): 0.00B [00:00, ?B/s]\n [ComfyUI] \n [ComfyUI] Fetching 4 files: 0%| | 0/4 [00:00<?, ?it/s]\u001b[AHTTP Request: HEAD https://huggingface.co/apozz/sam-3d-body-safetensors/resolve/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/model_config.yaml \"HTTP/1.1 307 Temporary Redirect\"\n [ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] HTTP Request: HEAD https://huggingface.co/apozz/sam-3d-body-safetensors/resolve/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/assets/mhr_model.pt \"HTTP/1.1 302 Found\"\n [ComfyUI] HTTP Request: HEAD https://huggingface.co/api/resolve-cache/models/apozz/sam-3d-body-safetensors/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/model_config.yaml \"HTTP/1.1 200 OK\"\n [ComfyUI] HTTP Request: GET https://huggingface.co/api/resolve-cache/models/apozz/sam-3d-body-safetensors/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/model_config.yaml \"HTTP/1.1 200 OK\"\n [ComfyUI] \n [ComfyUI] Downloading (incomplete total...): 1.49kB [00:00, 9.49kB/s]HTTP Request: HEAD https://huggingface.co/apozz/sam-3d-body-safetensors/resolve/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/model.safetensors \"HTTP/1.1 302 Found\"\n [ComfyUI] HTTP Request: HEAD https://huggingface.co/apozz/sam-3d-body-safetensors/resolve/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/.gitattributes \"HTTP/1.1 307 Temporary Redirect\"\n [ComfyUI] HTTP Request: HEAD https://huggingface.co/api/resolve-cache/models/apozz/sam-3d-body-safetensors/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/.gitattributes \"HTTP/1.1 200 OK\"\n [ComfyUI] HTTP Request: GET https://huggingface.co/api/resolve-cache/models/apozz/sam-3d-body-safetensors/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/.gitattributes \"HTTP/1.1 200 OK\"\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Fetching 4 files: 25%|\u2588\u2588\u258c | 1/4 [00:00<00:00, 4.69it/s]\u001b[AHTTP Request: GET https://huggingface.co/api/models/apozz/sam-3d-body-safetensors/xet-read-token/0c0bd82453ec0a6c14caa2de3ae47c667c11546a \"HTTP/1.1 200 OK\"\n [ComfyUI] \n [ComfyUI] Downloading (incomplete total...): 0%| | 3.01k/696M [00:00<20:22:27, 9.49kB/s]\n [ComfyUI] Downloading (incomplete total...): 0%| | 3.01k/696M [00:00<17:48:00, 10.9kB/s]HTTP Request: GET https://huggingface.co/api/models/apozz/sam-3d-body-safetensors/xet-read-token/0c0bd82453ec0a6c14caa2de3ae47c667c11546a \"HTTP/1.1 200 OK\"\n [ComfyUI] \n [ComfyUI] Downloading (incomplete total...): 0%| | 3.01k/2.83G [00:00<72:20:09, 10.9kB/s]\n [ComfyUI] Downloading (incomplete total...): 6%|\u258c | 165M/2.83G [00:01<00:22, 117MB/s]\n [ComfyUI] Downloading (incomplete total...): 16%|\u2588\u258c | 452M/2.83G [00:01<00:07, 324MB/s]\n Frame 2 saved (frame_001.jpg, t=2.4s)\n [capture-periodic] freeze=2ms shot=167ms unfreeze=8ms saved=True\n [ComfyUI] Downloading (incomplete total...): 25%|\u2588\u2588\u258d | 696M/2.83G [00:02<00:04, 470MB/s]\n [ComfyUI] \n [ComfyUI] Fetching 4 files: 50%|\u2588\u2588\u2588\u2588\u2588 | 2/4 [00:02<00:03, 1.51s/it]\u001b[A\n Frame 3 saved (frame_002.jpg, t=4.8s)\n [capture-periodic] freeze=2ms shot=151ms unfreeze=7ms saved=True\n [ComfyUI] Downloading (incomplete total...): 30%|\u2588\u2588\u2589 | 836M/2.83G [00:04<00:10, 181MB/s]\n [ComfyUI] Downloading (incomplete total...): 32%|\u2588\u2588\u2588\u258f | 904M/2.83G [00:04<00:11, 172MB/s]\n [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2\n [ComfyUI] Downloading (incomplete total...): 34%|\u2588\u2588\u2588\u258e | 952M/2.83G [00:05<00:12, 155MB/s]\n [ComfyUI] Downloading (incomplete total...): 36%|\u2588\u2588\u2588\u258c | 1.01G/2.83G [00:05<00:12, 146MB/s]\n Frame 4 saved (frame_003.jpg, t=7.0s)\n [capture-periodic] freeze=2ms shot=160ms unfreeze=6ms saved=True\n [ComfyUI] Downloading (incomplete total...): 37%|\u2588\u2588\u2588\u258b | 1.04G/2.83G [00:05<00:12, 140MB/s]\n [ComfyUI] Downloading (incomplete total...): 38%|\u2588\u2588\u2588\u258a | 1.09G/2.83G [00:07<00:19, 88.1MB/s]\n [ComfyUI] Downloading (incomplete total...): 43%|\u2588\u2588\u2588\u2588\u258e | 1.23G/2.83G [00:07<00:10, 148MB/s]\n [ComfyUI] Downloading (incomplete total...): 46%|\u2588\u2588\u2588\u2588\u258c | 1.30G/2.83G [00:07<00:10, 151MB/s]\n [ComfyUI] Downloading (incomplete total...): 48%|\u2588\u2588\u2588\u2588\u258a | 1.36G/2.83G [00:08<00:08, 164MB/s]\n [ComfyUI] Downloading (incomplete total...): 51%|\u2588\u2588\u2588\u2588\u2588 | 1.44G/2.83G [00:08<00:08, 162MB/s]\n [ComfyUI] Downloading (incomplete total...): 52%|\u2588\u2588\u2588\u2588\u2588\u258f | 1.48G/2.83G [00:09<00:10, 133MB/s]\n [ComfyUI] Downloading (incomplete total...): 53%|\u2588\u2588\u2588\u2588\u2588\u258e | 1.50G/2.83G [00:09<00:10, 128MB/s]\n [ComfyUI] Downloading (incomplete total...): 55%|\u2588\u2588\u2588\u2588\u2588\u258c | 1.56G/2.83G [00:09<00:10, 122MB/s]\n [ComfyUI] Downloading (incomplete total...): 58%|\u2588\u2588\u2588\u2588\u2588\u258a | 1.63G/2.83G [00:10<00:09, 128MB/s]\n [capture-loop] iter=100 t=11.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4\n [ComfyUI] Downloading (incomplete total...): 58%|\u2588\u2588\u2588\u2588\u2588\u258a | 1.65G/2.83G [00:10<00:09, 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79%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.24G/2.83G [00:15<00:04, 128MB/s]\n [ComfyUI] Downloading (incomplete total...): 82%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 2.32G/2.83G [00:15<00:04, 119MB/s]\n [ComfyUI] Downloading (incomplete total...): 85%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 2.40G/2.83G [00:16<00:03, 127MB/s]\n [ComfyUI] Downloading (incomplete total...): 86%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 2.44G/2.83G [00:16<00:02, 134MB/s]\n [capture-loop] iter=150 t=17.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4\n [ComfyUI] Downloading (incomplete total...): 88%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 2.48G/2.83G [00:16<00:02, 140MB/s]\n [ComfyUI] Downloading (incomplete total...): 89%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.53G/2.83G [00:17<00:01, 154MB/s]\n [ComfyUI] Downloading (incomplete total...): 91%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.58G/2.83G [00:17<00:01, 131MB/s]\n [ComfyUI] Downloading (incomplete total...): 93%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e| 2.63G/2.83G [00:18<00:01, 105MB/s]\n [ComfyUI] Downloading (incomplete total...): 96%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c| 2.71G/2.83G [00:18<00:00, 142MB/s]\n [ComfyUI] Downloading (incomplete total...): 2.83GB [00:18, 208MB/s]\n [ComfyUI] \n [ComfyUI] Fetching 4 files: 75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3/4 [00:19<00:08, 8.63s/it]\u001b[A\n [ComfyUI] Fetching 4 files: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 4/4 [00:19<00:00, 4.93s/it]\n [ComfyUI] \n [ComfyUI] Download complete: : 2.83GB [00:19, 208MB/s] Download complete.\n [ComfyUI] LoadMultibandImage: Loaded /workspaces/SAM3DBody-1648/ComfyUI/input/people.npz\n [ComfyUI] Shape: (1, 9, 720, 1280)\n [ComfyUI] Channels: 9\n [ComfyUI] Names: img_01_r,img_01_g,img_01_b,mask_01,mask_02,mask_03,mask_04,mask_05,mask_06\n [ComfyUI] MultibandToMasks: Auto-detected 6 mask channels: ['mask_01', 'mask_02', 'mask_03', 'mask_04', 'mask_05', 'mask_06']\n [ComfyUI] !!! Exception during processing !!! No module named 'roma'\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process_multiple.py\", line 1116, in execute\n [ComfyUI] from .sam_3d_body import SAM3DBodyEstimator\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\n [ComfyUI] from .build_models import load_sam_3d_body\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\n [ComfyUI] from .model import SAM3DBody\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\n [ComfyUI] import roma\n [ComfyUI] ModuleNotFoundError: No module named 'roma'\n [ComfyUI] \n [ComfyUI] Prompt executed in 20.05 seconds\n [ComfyUI] \n [ComfyUI] Download complete: : 2.83GB [00:20, 141MB/s]\n Execution complete (t=20.6s)\n Execution error: {'prompt_id': 'c64f54b4-4856-4fae-b210-c9f837b5d6b6', 'node_id': '16', 'node_type': 'SAM3DBodyProcessMultiple', 'executed': ['35', '36', '24', '39'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process_multiple.py\", line 1116, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'inference_type': ['full'], 'adjust_position_from_depth': [False], 'model': [\"{'model_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/assets/mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n ...,\\n [0.3294, 0.5765, 0.7137],\\n [0.3451, 0.5882, 0.7333],\\n [0.3686, 0.6118, 0.7569]],\\n\\n [[0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n ...,\\n [0.3490, 0.5608, 0.6941],\\n [0.3529, 0.5647, 0.6980],\\n [0.3647, 0.5765, 0.7098]],\\n\\n [[0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n ...,\\n [0.3765, 0.5373, 0.6471],\\n [0.3725, 0.5333, 0.6431],\\n [0.3765, 0.5373, 0.6471]],\\n\\n ...,\\n\\n [[0.4941, 0.4824, 0.4157],\\n [0.4941, 0.4824, 0.4157],\\n [0.4980, 0.4863, 0.4196],\\n ...,\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059]],\\n\\n [[0.5098, 0.4980, 0.4314],\\n [0.5098, 0.4980, 0.4314],\\n [0.5137, 0.5020, 0.4353],\\n ...,\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059]],\\n\\n [[0.5176, 0.5059, 0.4392],\\n [0.5216, 0.5098, 0.4431],\\n [0.5216, 0.5098, 0.4431],\\n ...,\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059]]]])'], 'masks': ['tensor([[[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]]])']}, 'current_outputs': ['35', '29', '24', '4', '18', '16', '39', '36'], 'timestamp': 1778345498027}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'c64f54b4-4856-4fae-b210-c9f837b5d6b6', 'node_id': '16', 'node_type': 'SAM3DBodyProcessMultiple', 'executed': ['35', '36', '24', '39'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process_multiple.py\", line 1116, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'inference_type': ['full'], 'adjust_position_from_depth': [False], 'model': [\"{'model_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/assets/mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n ...,\\n [0.3294, 0.5765, 0.7137],\\n [0.3451, 0.5882, 0.7333],\\n [0.3686, 0.6118, 0.7569]],\\n\\n [[0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n ...,\\n [0.3490, 0.5608, 0.6941],\\n [0.3529, 0.5647, 0.6980],\\n [0.3647, 0.5765, 0.7098]],\\n\\n [[0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n [0.2902, 0.4667, 0.5961],\\n ...,\\n [0.3765, 0.5373, 0.6471],\\n [0.3725, 0.5333, 0.6431],\\n [0.3765, 0.5373, 0.6471]],\\n\\n ...,\\n\\n [[0.4941, 0.4824, 0.4157],\\n [0.4941, 0.4824, 0.4157],\\n [0.4980, 0.4863, 0.4196],\\n ...,\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059]],\\n\\n [[0.5098, 0.4980, 0.4314],\\n [0.5098, 0.4980, 0.4314],\\n [0.5137, 0.5020, 0.4353],\\n ...,\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059]],\\n\\n [[0.5176, 0.5059, 0.4392],\\n [0.5216, 0.5098, 0.4431],\\n [0.5216, 0.5098, 0.4431],\\n ...,\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059],\\n [0.5647, 0.5569, 0.5059]]]])'], 'masks': ['tensor([[[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]],\\n\\n [[0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n ...,\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.],\\n [0., 0., 0., ..., 0., 0., 0.]]])']}, 'current_outputs': ['35', '29', '24', '4', '18', '16', '39', '36'], 'timestamp': 1778345498027}\n Details: Workflow: /node/ComfyUI-SAM3DBody/workflows/multiple_masks.json\nNode error: SAM3DBodyProcessMultiple", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060"}}, "multiple_masks_depthcorrected": {"src": "", "title": "multiple_masks_depthcorrected", "status": "fail", "duration": "58.03", "log": "Capturing execution frames: multiple_masks_depthcorrected.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 16 nodes\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"16\", 1]}\n [ComfyUI] Node 16: SAM3DBodyProcessMultiple\n [ComfyUI] Inputs: {\"inference_type\": \"full\", \"adjust_position_from_depth\": true, \"model\": [\"24\", 0], \"image\": [\"36\", 0], \"masks\": [\"39\", 0], \"depth_map\": [\"40\", 0], \"intrinsics\": [\"40\", 9], \"depth_confidence\": [\"40\", 1\n [ComfyUI] Node 18: SAM3DBodyExportMultipleFBX\n [ComfyUI] Inputs: {\"output_filename\": \"sam3d_multi_rigged.fbx\", \"combine\": true, \"multi_mesh_data\": [\"16\", 0]}\n [ComfyUI] Node 24: LoadSAM3DBodyModel\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Node 29: Preview3D\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"model_file\": [\"18\", 0], \"image\": \"\", \"camera_info\": [\"60\", 0]}\n [ComfyUI] Node 35: MultibandLoad\n [ComfyUI] Inputs: {\"image\": \"fellowship.npz\", \"normalize\": true}\n [ComfyUI] Node 36: MultibandToImage\n [ComfyUI] Inputs: {\"channels\": \"0,1,2\", \"multiband\": [\"35\", 0]}\n [ComfyUI] Node 39: MultibandToMasks\n [ComfyUI] Inputs: {\"channels\": \"0\", \"auto_detect_masks\": true, \"multiband\": [\"35\", 0]}\n [ComfyUI] Node 40: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"41\", 0], \"images\": [\"36\", 0]}\n [ComfyUI] Node 41: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_giant.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 43: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"39\", 0]}\n [ComfyUI] Node 44: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"36\", 0]}\n [ComfyUI] Node 46: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"40\", 9]}\n [ComfyUI] Node 58: LoadImageDataSetFromFolder\n [ComfyUI] Inputs: {\"folder\": \"3d\"}\n [ComfyUI] Node 59: PreviewAny\n [ComfyUI] Inputs: {\"source\": [\"40\", 8]}\n [ComfyUI] Node 60: CreateLoad3DCamera\n [ComfyUI] Inputs: {\"pos_x\": 3, \"pos_y\": 5.1, \"pos_z\": 8, \"target_x\": -0.5, \"target_y\": 2.1, \"target_z\": 0.4, \"zoom\": 3, \"camera_type\": \"perspective\"}\n [ComfyUI] Generated prompt_id: faf3e4d6-69f5-4cb2-804b-5c30976ffaf1\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] LoadMultibandImage: Loaded /workspaces/SAM3DBody-1648/ComfyUI/input/fellowship.npz\n [ComfyUI] Shape: (1, 14, 497, 1200)\n [ComfyUI] Channels: 14\n [ComfyUI] Names: img_01_r,img_01_g,img_01_b,mask_01,mask_02,mask_03,mask_04,mask_05,mask_06,mask_07,mask_08,mask_09,m...\n [ComfyUI] MultibandToMasks: Auto-detected 11 mask channels: ['mask_01', 'mask_02', 'mask_03', 'mask_04', 'mask_05', 'mask_06', 'mask_07', 'mask_08', 'mask_09', 'mask_10', 'mask_11']\n Node executed (1 total), capturing...\n [ComfyUI] Auto-downloading da3_giant.safetensors from HuggingFace (depth-anything/DA3-GIANT-1.1)...\n [ComfyUI] HTTP Request: HEAD https://huggingface.co/depth-anything/DA3-GIANT-1.1/resolve/main/model.safetensors \"HTTP/1.1 302 Found\"\n [ComfyUI] HTTP Request: GET https://huggingface.co/api/models/depth-anything/DA3-GIANT-1.1/xet-read-token/72ee9f89ce4e50d704e9d55ee9c646ec8dc25a19 \"HTTP/1.1 200 OK\"\n [ComfyUI] \n Frame 2 saved (frame_001.jpg, t=0.6s)\n [capture-node] freeze=3ms shot=228ms unfreeze=7ms saved=True\n Node executed (2 total), capturing...\n [ComfyUI] model.safetensors: 0%| | 0.00/5.42G [00:00<?, ?B/s]\n Frame 3 saved (frame_002.jpg, t=1.2s)\n [capture-node] freeze=2ms shot=229ms unfreeze=2ms saved=True\n Frame 4 saved (frame_003.jpg, t=5.8s)\n [capture-periodic] freeze=2ms shot=175ms unfreeze=11ms saved=True\n [capture-loop] iter=50 t=6.8s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2\n [ComfyUI] model.safetensors: 0%| | 140k/5.42G [00:00<5:30:22, 274kB/s]\n [ComfyUI] model.safetensors: 5%|\u258d | 268M/5.42G [00:06<01:52, 45.8MB/s]\n [ComfyUI] model.safetensors: 7%|\u258b | 402M/5.42G [00:06<01:15, 66.4MB/s]\n Frame 5 saved (frame_004.jpg, t=8.1s)\n [capture-periodic] freeze=11ms shot=194ms unfreeze=2ms saved=True\n Frame 6 saved (frame_005.jpg, t=10.4s)\n [capture-periodic] freeze=2ms shot=238ms unfreeze=13ms saved=True\n [ComfyUI] model.safetensors: 9%|\u258a | 469M/5.42G [00:07<01:01, 80.2MB/s]\n [capture-loop] iter=100 t=12.6s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2\n Frame 7 saved (frame_006.jpg, t=12.8s)\n [capture-periodic] freeze=1ms shot=197ms unfreeze=15ms saved=True\n Frame 8 saved (frame_007.jpg, t=15.2s)\n [capture-periodic] freeze=2ms shot=218ms unfreeze=10ms saved=True\n [ComfyUI] model.safetensors: 11%|\u2588 | 604M/5.42G [00:10<01:22, 58.4MB/s]\n Frame 9 saved (frame_008.jpg, t=17.6s)\n [capture-periodic] freeze=2ms shot=225ms unfreeze=8ms saved=True\n [capture-loop] iter=150 t=18.7s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=4\n Frame 10 saved (frame_009.jpg, t=19.9s)\n [capture-periodic] freeze=2ms shot=233ms unfreeze=7ms saved=True\n [ComfyUI] model.safetensors: 15%|\u2588\u258d | 805M/5.42G [00:14<01:30, 51.2MB/s]\n [capture-loop] iter=200 t=24.4s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2\n Frame 11 saved (frame_010.jpg, t=24.5s)\n [capture-periodic] freeze=2ms shot=199ms unfreeze=11ms saved=True\n Frame 12 saved (frame_011.jpg, t=26.9s)\n [capture-periodic] freeze=2ms shot=190ms unfreeze=11ms saved=True\n [ComfyUI] model.safetensors: 30%|\u2588\u2588\u2589 | 1.61G/5.42G [00:22<00:45, 83.9MB/s]\n Frame 13 saved (frame_012.jpg, t=29.2s)\n [capture-periodic] freeze=1ms shot=285ms unfreeze=8ms saved=True\n [ComfyUI] model.safetensors: 35%|\u2588\u2588\u2588\u258d | 1.88G/5.42G [00:26<00:45, 77.4MB/s]\n [capture-loop] iter=250 t=30.5s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2\n Frame 14 saved (frame_013.jpg, t=31.6s)\n [capture-periodic] freeze=2ms shot=143ms unfreeze=5ms saved=True\n [ComfyUI] model.safetensors: 43%|\u2588\u2588\u2588\u2588\u258e | 2.35G/5.42G [00:28<00:30, 100MB/s]\n [ComfyUI] model.safetensors: 49%|\u2588\u2588\u2588\u2588\u2589 | 2.68G/5.42G [00:31<00:25, 106MB/s]\n Frame 15 saved (frame_014.jpg, t=33.9s)\n [capture-periodic] freeze=2ms shot=230ms unfreeze=11ms saved=True\n [capture-loop] iter=300 t=36.3s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2\n Frame 16 saved (frame_015.jpg, t=36.3s)\n [capture-periodic] freeze=2ms shot=203ms unfreeze=9ms saved=True\n [ComfyUI] model.safetensors: 52%|\u2588\u2588\u2588\u2588\u2588\u258f | 2.82G/5.42G [00:31<00:21, 119MB/s]\n Frame 17 saved (frame_016.jpg, t=41.0s)\n [capture-periodic] freeze=2ms shot=199ms unfreeze=8ms saved=True\n [capture-loop] iter=350 t=42.2s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2\n [ComfyUI] model.safetensors: 62%|\u2588\u2588\u2588\u2588\u2588\u2588\u258f | 3.35G/5.42G [00:38<00:21, 95.6MB/s]\n Frame 18 saved (frame_017.jpg, t=43.2s)\n [capture-periodic] freeze=1ms shot=165ms unfreeze=2ms saved=True\n [ComfyUI] model.safetensors: 75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 4.09G/5.42G [00:41<00:09, 137MB/s]\n [ComfyUI] model.safetensors: 80%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.36G/5.42G [00:43<00:07, 140MB/s]\n [ComfyUI] model.safetensors: 90%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.90G/5.42G [00:44<00:02, 190MB/s]\n Frame 19 saved (frame_018.jpg, t=45.5s)\n [capture-periodic] freeze=2ms shot=196ms unfreeze=10ms saved=True\n Frame 20 saved (frame_019.jpg, t=47.9s)\n [capture-periodic] freeze=2ms shot=244ms unfreeze=4ms saved=True\n [capture-loop] iter=400 t=48.9s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=3\n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 5.42G/5.42G [00:44<00:00, 261MB/s]\n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 5.42G/5.42G [00:47<00:00, 113MB/s]\n [ComfyUI] Downloaded model to: /workspaces/SAM3DBody-1648/ComfyUI/models/depthanything3/da3_giant.safetensors\n [ComfyUI] Auto-detected model variant: da3-giant\n [ComfyUI] [build] model_key=da3-giant, dtype=torch.bfloat16, attention=auto\n [ComfyUI] [build] config: encoder=vitg, dim_in=3072, features=256, out_channels=[256, 512, 1024, 1024]\n [ComfyUI] Dependency 'e3nn' not found. Required for rotating the camera space SH coeff\n [ComfyUI] Built GS head and adapter for Giant model (Gaussian splatting enabled)\n [ComfyUI] [build] Loading model from: /workspaces/SAM3DBody-1648/ComfyUI/models/depthanything3/da3_giant.safetensors\n [ComfyUI] [build] Checkpoint: 971 keys loaded\n [ComfyUI] [build] Stripped 'model.' prefix from 971 keys\n [ComfyUI] [build] Expanded 6 shared-weight keys for output_conv2_aux\n [ComfyUI] Model ready (torch.bfloat16)\n [ComfyUI] Requested to load DepthAnything3Net\n [ComfyUI] loaded completely; 6331.74 MB usable, 2581.72 MB loaded, full load: True\n [ComfyUI] Input image size: 497x1200\n [ComfyUI] Model input size (after resize): 504x1204\n [ComfyUI] Model supports 3D Gaussians - will output raw Gaussians\n [ComfyUI] [VRAM backbone] DONE: allocated=2.63GB reserved=2.78GB\n [ComfyUI] plyfile not installed - cannot save Gaussians to PLY. Install with: pip install plyfile\n [ComfyUI] Precision: bf16\n [ComfyUI] !!! Exception during processing !!! No module named 'roma'\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n Frame 21 saved (frame_020.jpg, t=50.8s)\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [capture-periodic] freeze=1ms shot=339ms unfreeze=9ms saved=True\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process_multiple.py\", line 1116, in execute\n [ComfyUI] from .sam_3d_body import SAM3DBodyEstimator\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\n [ComfyUI] from .build_models import load_sam_3d_body\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\n [ComfyUI] from .model import SAM3DBody\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\n [ComfyUI] import roma\n [ComfyUI] ModuleNotFoundError: No module named 'roma'\n [ComfyUI] \n [ComfyUI] Prompt executed in 50.89 seconds\n Node executed (4 total), capturing...\n Frame 22 saved (frame_021.jpg, t=51.5s)\n [capture-node] freeze=15ms shot=185ms unfreeze=3ms saved=True\n Execution complete (t=51.8s)\n Execution error: {'prompt_id': '19985d97-9730-402d-988d-51a97abb6d93', 'node_id': '16', 'node_type': 'SAM3DBodyProcessMultiple', 'executed': ['35', '41', '24', '59', '60', '40', '39', '44', '46', '43', '36'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process_multiple.py\", line 1116, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'inference_type': ['full'], 'adjust_position_from_depth': [True], 'model': [\"{'model_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/assets/mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0275, 0.0314, 0.0000],\\n [0.0745, 0.0549, 0.0000],\\n [0.1490, 0.1216, 0.0667],\\n [0.1922, 0.1451, 0.0980],\\n [0.2392, 0.1843, 0.1412],\\n [0.1608, 0.1059, 0.0627]],\\n\\n [[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0549, 0.0471, 0.0000],\\n [0.0824, 0.0667, 0.0078],\\n [0.1686, 0.1333, 0.0824],\\n [0.1961, 0.1529, 0.1059],\\n [0.2353, 0.1804, 0.1373],\\n [0.1569, 0.0902, 0.0510]],\\n\\n [[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0706, 0.0510, 0.0000],\\n [0.1059, 0.0784, 0.0275],\\n [0.1922, 0.1451, 0.0980],\\n [0.2118, 0.1569, 0.1137],\\n [0.2314, 0.1686, 0.1255],\\n [0.1373, 0.0627, 0.0275]],\\n\\n [[0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0706, 0.0431, 0.0000],\\n [0.1412, 0.0980, 0.0510],\\n [0.2078, 0.1529, 0.1098],\\n [0.2275, 0.1647, 0.1216],\\n [0.2353, 0.1608, 0.1216],\\n [0.1294, 0.0471, 0.0118]],\\n\\n [[0.0235, 0.0627, 0.0510],\\n [0.0235, 0.0627, 0.0510],\\n [0.0235, 0.0627, 0.0510],\\n [0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0157, 0.0549, 0.0392],\\n ...,\\n [0.1608, 0.1137, 0.0667],\\n [0.1882, 0.1333, 0.0902],\\n [0.2196, 0.1451, 0.1098],\\n [0.2078, 0.1255, 0.0902],\\n [0.2235, 0.1294, 0.0980],\\n [0.1451, 0.0392, 0.0118]],\\n\\n [[0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0157, 0.0549, 0.0392],\\n [0.0157, 0.0549, 0.0392],\\n ...,\\n [0.2157, 0.1608, 0.1176],\\n [0.2235, 0.1569, 0.1176],\\n [0.2392, 0.1569, 0.1216],\\n [0.2196, 0.1255, 0.0941],\\n [0.2196, 0.1176, 0.0902],\\n [0.1451, 0.0314, 0.0078]],\\n\\n ...,\\n\\n [[0.4235, 0.1961, 0.1216],\\n [0.5725, 0.3373, 0.2549],\\n [0.5412, 0.3059, 0.2078],\\n [0.5843, 0.3373, 0.2235],\\n [0.6078, 0.3412, 0.2157],\\n [0.6314, 0.3529, 0.2078],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4314, 0.1922, 0.1294],\\n [0.5216, 0.2824, 0.2118],\\n [0.5373, 0.2941, 0.2039],\\n [0.5804, 0.3216, 0.2235],\\n [0.6078, 0.3333, 0.2118],\\n [0.6431, 0.3608, 0.2157],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4275, 0.1882, 0.1255],\\n [0.5176, 0.2706, 0.2039],\\n [0.5333, 0.2824, 0.1961],\\n [0.5686, 0.3098, 0.2078],\\n [0.5961, 0.3216, 0.2000],\\n [0.6353, 0.3451, 0.2118],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4078, 0.1686, 0.1059],\\n [0.5020, 0.2549, 0.1843],\\n [0.5176, 0.2627, 0.1804],\\n [0.5529, 0.2941, 0.1961],\\n [0.5804, 0.3059, 0.1843],\\n [0.6196, 0.3294, 0.1961],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4000, 0.1608, 0.0980],\\n [0.4902, 0.2431, 0.1765],\\n [0.5059, 0.2549, 0.1686],\\n [0.5412, 0.2824, 0.1804],\\n [0.5725, 0.2980, 0.1765],\\n [0.6118, 0.3216, 0.1882],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4000, 0.1529, 0.0941],\\n [0.4588, 0.2118, 0.1451],\\n [0.5059, 0.2549, 0.1686],\\n [0.5373, 0.2667, 0.1725],\\n [0.5765, 0.2941, 0.1765],\\n [0.6118, 0.3216, 0.1882],\\n ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]]]])'], 'masks': ['tensor([[[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]],\\n\\n [[0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n ...,\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.],\\n [0., 0., 0., 0., 0., 0., ..., 0., 0., 0., 0., 0., 0.]]])'], 'depth_map': ['tensor([[[[2.4994, 2.4994, 2.4994],\\n [2.5016, 2.5016, 2.5016],\\n [2.4987, 2.4987, 2.4987],\\n [2.4986, 2.4986, 2.4986],\\n [2.4949, 2.4949, 2.4949],\\n [2.4948, 2.4948, 2.4948],\\n ...,\\n [1.5907, 1.5907, 1.5907],\\n [1.5880, 1.5880, 1.5880],\\n [1.5869, 1.5869, 1.5869],\\n [1.5825, 1.5825, 1.5825],\\n [1.5709, 1.5709, 1.5709],\\n [1.5437, 1.5437, 1.5437]],\\n\\n [[2.4693, 2.4693, 2.4693],\\n [2.4917, 2.4917, 2.4917],\\n [2.5065, 2.5065, 2.5065],\\n [2.5075, 2.5075, 2.5075],\\n [2.4992, 2.4992, 2.4992],\\n [2.4992, 2.4992, 2.4992],\\n ...,\\n [1.5874, 1.5874, 1.5874],\\n [1.5856, 1.5856, 1.5856],\\n [1.5860, 1.5860, 1.5860],\\n [1.5774, 1.5774, 1.5774],\\n [1.5694, 1.5694, 1.5694],\\n [1.5479, 1.5479, 1.5479]],\\n\\n [[2.4990, 2.4990, 2.4990],\\n [2.5041, 2.5041, 2.5041],\\n [2.5021, 2.5021, 2.5021],\\n [2.4999, 2.4999, 2.4999],\\n [2.4993, 2.4993, 2.4993],\\n [2.4979, 2.4979, 2.4979],\\n ...,\\n [1.5886, 1.5886, 1.5886],\\n [1.5859, 1.5859, 1.5859],\\n [1.5838, 1.5838, 1.5838],\\n [1.5781, 1.5781, 1.5781],\\n [1.5675, 1.5675, 1.5675],\\n [1.5638, 1.5638, 1.5638]],\\n\\n [[2.5060, 2.5060, 2.5060],\\n [2.5031, 2.5031, 2.5031],\\n [2.5017, 2.5017, 2.5017],\\n [2.5048, 2.5048, 2.5048],\\n [2.5006, 2.5006, 2.5006],\\n [2.5001, 2.5001, 2.5001],\\n ...,\\n [1.5889, 1.5889, 1.5889],\\n [1.5860, 1.5860, 1.5860],\\n [1.5831, 1.5831, 1.5831],\\n [1.5770, 1.5770, 1.5770],\\n [1.5680, 1.5680, 1.5680],\\n [1.5159, 1.5159, 1.5159]],\\n\\n [[2.5063, 2.5063, 2.5063],\\n [2.5001, 2.5001, 2.5001],\\n [2.5040, 2.5040, 2.5040],\\n [2.5085, 2.5085, 2.5085],\\n [2.5012, 2.5012, 2.5012],\\n [2.5031, 2.5031, 2.5031],\\n ...,\\n [1.5884, 1.5884, 1.5884],\\n [1.5847, 1.5847, 1.5847],\\n [1.5807, 1.5807, 1.5807],\\n [1.5744, 1.5744, 1.5744],\\n [1.5637, 1.5637, 1.5637],\\n [1.5257, 1.5257, 1.5257]],\\n\\n [[2.5132, 2.5132, 2.5132],\\n [2.5047, 2.5047, 2.5047],\\n [2.5088, 2.5088, 2.5088],\\n [2.5101, 2.5101, 2.5101],\\n [2.5043, 2.5043, 2.5043],\\n [2.5064, 2.5064, 2.5064],\\n ...,\\n [1.5881, 1.5881, 1.5881],\\n [1.5842, 1.5842, 1.5842],\\n [1.5800, 1.5800, 1.5800],\\n [1.5733, 1.5733, 1.5733],\\n [1.5622, 1.5622, 1.5622],\\n [1.5316, 1.5316, 1.5316]],\\n\\n ...,\\n\\n [[1.3419, 1.3419, 1.3419],\\n [1.3528, 1.3528, 1.3528],\\n [1.3539, 1.3539, 1.3539],\\n [1.3554, 1.3554, 1.3554],\\n [1.3548, 1.3548, 1.3548],\\n [1.3545, 1.3545, 1.3545],\\n ...,\\n [1.0922, 1.0922, 1.0922],\\n [1.0926, 1.0926, 1.0926],\\n [1.0921, 1.0921, 1.0921],\\n [1.0922, 1.0922, 1.0922],\\n [1.0919, 1.0919, 1.0919],\\n [1.0955, 1.0955, 1.0955]],\\n\\n [[1.3369, 1.3369, 1.3369],\\n [1.3446, 1.3446, 1.3446],\\n [1.3521, 1.3521, 1.3521],\\n [1.3536, 1.3536, 1.3536],\\n [1.3518, 1.3518, 1.3518],\\n [1.3518, 1.3518, 1.3518],\\n ...,\\n [1.0920, 1.0920, 1.0920],\\n [1.0924, 1.0924, 1.0924],\\n [1.0920, 1.0920, 1.0920],\\n [1.0925, 1.0925, 1.0925],\\n [1.0923, 1.0923, 1.0923],\\n [1.0954, 1.0954, 1.0954]],\\n\\n [[1.3366, 1.3366, 1.3366],\\n [1.3510, 1.3510, 1.3510],\\n [1.3515, 1.3515, 1.3515],\\n [1.3519, 1.3519, 1.3519],\\n [1.3514, 1.3514, 1.3514],\\n [1.3509, 1.3509, 1.3509],\\n ...,\\n [1.0920, 1.0920, 1.0920],\\n [1.0923, 1.0923, 1.0923],\\n [1.0919, 1.0919, 1.0919],\\n [1.0924, 1.0924, 1.0924],\\n [1.0925, 1.0925, 1.0925],\\n [1.0951, 1.0951, 1.0951]],\\n\\n [[1.3365, 1.3365, 1.3365],\\n [1.3459, 1.3459, 1.3459],\\n [1.3436, 1.3436, 1.3436],\\n [1.3499, 1.3499, 1.3499],\\n [1.3462, 1.3462, 1.3462],\\n [1.3476, 1.3476, 1.3476],\\n ...,\\n [1.0909, 1.0909, 1.0909],\\n [1.0912, 1.0912, 1.0912],\\n [1.0909, 1.0909, 1.0909],\\n [1.0923, 1.0923, 1.0923],\\n [1.0925, 1.0925, 1.0925],\\n [1.0947, 1.0947, 1.0947]],\\n\\n [[1.3461, 1.3461, 1.3461],\\n [1.3361, 1.3361, 1.3361],\\n [1.3416, 1.3416, 1.3416],\\n [1.3461, 1.3461, 1.3461],\\n [1.3425, 1.3425, 1.3425],\\n [1.3442, 1.3442, 1.3442],\\n ...,\\n [1.0949, 1.0949, 1.0949],\\n [1.0949, 1.0949, 1.0949],\\n [1.0941, 1.0941, 1.0941],\\n [1.0947, 1.0947, 1.0947],\\n [1.0943, 1.0943, 1.0943],\\n [1.0963, 1.0963, 1.0963]],\\n\\n [[1.3287, 1.3287, 1.3287],\\n [1.3381, 1.3381, 1.3381],\\n [1.3172, 1.3172, 1.3172],\\n [1.3230, 1.3230, 1.3230],\\n [1.3234, 1.3234, 1.3234],\\n [1.3263, 1.3263, 1.3263],\\n ...,\\n [1.0938, 1.0938, 1.0938],\\n [1.0931, 1.0931, 1.0931],\\n [1.0933, 1.0933, 1.0933],\\n [1.0938, 1.0938, 1.0938],\\n [1.0902, 1.0902, 1.0902],\\n [1.0993, 1.0993, 1.0993]]]])'], 'intrinsics': ['tensor([[[2.7941e+03, 0.0000e+00, 6.0000e+02, 0.0000e+00],\\n [0.0000e+00, 2.7589e+03, 2.4800e+02, 0.0000e+00],\\n [0.0000e+00, 0.0000e+00, 1.0000e+00, 0.0000e+00],\\n [0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00]]])'], 'depth_confidence': ['tensor([[[[1.0722e-04, 1.0722e-04, 1.0722e-04],\\n [1.7060e-05, 1.7060e-05, 1.7060e-05],\\n [1.4908e-05, 1.4908e-05, 1.4908e-05],\\n [7.6037e-06, 7.6037e-06, 7.6037e-06],\\n [4.9320e-06, 4.9320e-06, 4.9320e-06],\\n [4.2822e-06, 4.2822e-06, 4.2822e-06],\\n ...,\\n [1.6143e-03, 1.6143e-03, 1.6143e-03],\\n [1.6490e-03, 1.6490e-03, 1.6490e-03],\\n [1.2263e-03, 1.2263e-03, 1.2263e-03],\\n [1.4704e-03, 1.4704e-03, 1.4704e-03],\\n [2.3616e-03, 2.3616e-03, 2.3616e-03],\\n [2.4363e-03, 2.4363e-03, 2.4363e-03]],\\n\\n [[6.6127e-06, 6.6127e-06, 6.6127e-06],\\n [1.4701e-06, 1.4701e-06, 1.4701e-06],\\n [2.3377e-06, 2.3377e-06, 2.3377e-06],\\n [1.1503e-06, 1.1503e-06, 1.1503e-06],\\n [5.7655e-07, 5.7655e-07, 5.7655e-07],\\n [4.8448e-07, 4.8448e-07, 4.8448e-07],\\n ...,\\n [5.7728e-04, 5.7728e-04, 5.7728e-04],\\n [6.8183e-04, 6.8183e-04, 6.8183e-04],\\n [6.4139e-04, 6.4139e-04, 6.4139e-04],\\n [7.0301e-04, 7.0301e-04, 7.0301e-04],\\n [6.9062e-04, 6.9062e-04, 6.9062e-04],\\n [1.1831e-03, 1.1831e-03, 1.1831e-03]],\\n\\n [[9.6641e-06, 9.6641e-06, 9.6641e-06],\\n [2.1171e-06, 2.1171e-06, 2.1171e-06],\\n [1.7980e-06, 1.7980e-06, 1.7980e-06],\\n [6.8167e-07, 6.8167e-07, 6.8167e-07],\\n [3.1917e-07, 3.1917e-07, 3.1917e-07],\\n [2.2853e-07, 2.2853e-07, 2.2853e-07],\\n ...,\\n [2.6391e-04, 2.6391e-04, 2.6391e-04],\\n [3.8075e-04, 3.8075e-04, 3.8075e-04],\\n [5.2815e-04, 5.2815e-04, 5.2815e-04],\\n [5.6958e-04, 5.6958e-04, 5.6958e-04],\\n [3.3014e-04, 3.3014e-04, 3.3014e-04],\\n [6.5810e-04, 6.5810e-04, 6.5810e-04]],\\n\\n [[6.8197e-06, 6.8197e-06, 6.8197e-06],\\n [1.3512e-06, 1.3512e-06, 1.3512e-06],\\n [8.6361e-07, 8.6361e-07, 8.6361e-07],\\n [3.2132e-07, 3.2132e-07, 3.2132e-07],\\n [1.6287e-07, 1.6287e-07, 1.6287e-07],\\n [1.1638e-07, 1.1638e-07, 1.1638e-07],\\n ...,\\n [1.3412e-04, 1.3412e-04, 1.3412e-04],\\n [2.1984e-04, 2.1984e-04, 2.1984e-04],\\n [3.6000e-04, 3.6000e-04, 3.6000e-04],\\n [3.4549e-04, 3.4549e-04, 3.4549e-04],\\n [1.5917e-04, 1.5917e-04, 1.5917e-04],\\n [4.1965e-04, 4.1965e-04, 4.1965e-04]],\\n\\n [[4.5010e-06, 4.5010e-06, 4.5010e-06],\\n [9.1914e-07, 9.1914e-07, 9.1914e-07],\\n [5.2497e-07, 5.2497e-07, 5.2497e-07],\\n [2.5088e-07, 2.5088e-07, 2.5088e-07],\\n [1.5950e-07, 1.5950e-07, 1.5950e-07],\\n [1.1428e-07, 1.1428e-07, 1.1428e-07],\\n ...,\\n [1.1458e-04, 1.1458e-04, 1.1458e-04],\\n [1.8206e-04, 1.8206e-04, 1.8206e-04],\\n [2.8289e-04, 2.8289e-04, 2.8289e-04],\\n [2.6222e-04, 2.6222e-04, 2.6222e-04],\\n [1.2040e-04, 1.2040e-04, 1.2040e-04],\\n [3.7538e-04, 3.7538e-04, 3.7538e-04]],\\n\\n [[3.5684e-06, 3.5684e-06, 3.5684e-06],\\n [7.5009e-07, 7.5009e-07, 7.5009e-07],\\n [3.9134e-07, 3.9134e-07, 3.9134e-07],\\n [1.8200e-07, 1.8200e-07, 1.8200e-07],\\n [1.1441e-07, 1.1441e-07, 1.1441e-07],\\n [9.0576e-08, 9.0576e-08, 9.0576e-08],\\n ...,\\n [9.9107e-05, 9.9107e-05, 9.9107e-05],\\n [1.4976e-04, 1.4976e-04, 1.4976e-04],\\n [2.2077e-04, 2.2077e-04, 2.2077e-04],\\n [2.0847e-04, 2.0847e-04, 2.0847e-04],\\n [1.0814e-04, 1.0814e-04, 1.0814e-04],\\n [2.9064e-04, 2.9064e-04, 2.9064e-04]],\\n\\n ...,\\n\\n [[7.5373e-04, 7.5373e-04, 7.5373e-04],\\n [2.0481e-04, 2.0481e-04, 2.0481e-04],\\n [2.6249e-04, 2.6249e-04, 2.6249e-04],\\n [2.3024e-04, 2.3024e-04, 2.3024e-04],\\n [2.8037e-04, 2.8037e-04, 2.8037e-04],\\n [2.9112e-04, 2.9112e-04, 2.9112e-04],\\n ...,\\n [1.4675e-01, 1.4675e-01, 1.4675e-01],\\n [1.4729e-01, 1.4729e-01, 1.4729e-01],\\n [1.4110e-01, 1.4110e-01, 1.4110e-01],\\n [1.4376e-01, 1.4376e-01, 1.4376e-01],\\n [1.5175e-01, 1.5175e-01, 1.5175e-01],\\n [1.7014e-01, 1.7014e-01, 1.7014e-01]],\\n\\n [[9.2812e-04, 9.2812e-04, 9.2812e-04],\\n [3.4935e-04, 3.4935e-04, 3.4935e-04],\\n [3.5411e-04, 3.5411e-04, 3.5411e-04],\\n [2.4217e-04, 2.4217e-04, 2.4217e-04],\\n [2.8294e-04, 2.8294e-04, 2.8294e-04],\\n [3.0784e-04, 3.0784e-04, 3.0784e-04],\\n ...,\\n [1.5163e-01, 1.5163e-01, 1.5163e-01],\\n [1.5209e-01, 1.5209e-01, 1.5209e-01],\\n [1.4554e-01, 1.4554e-01, 1.4554e-01],\\n [1.4778e-01, 1.4778e-01, 1.4778e-01],\\n [1.5609e-01, 1.5609e-01, 1.5609e-01],\\n [1.7610e-01, 1.7610e-01, 1.7610e-01]],\\n\\n [[8.6518e-04, 8.6518e-04, 8.6518e-04],\\n [5.3731e-04, 5.3731e-04, 5.3731e-04],\\n [4.5469e-04, 4.5469e-04, 4.5469e-04],\\n [2.5154e-04, 2.5154e-04, 2.5154e-04],\\n [2.4402e-04, 2.4402e-04, 2.4402e-04],\\n [2.4130e-04, 2.4130e-04, 2.4130e-04],\\n ...,\\n [1.5072e-01, 1.5072e-01, 1.5072e-01],\\n [1.5100e-01, 1.5100e-01, 1.5100e-01],\\n [1.4486e-01, 1.4486e-01, 1.4486e-01],\\n [1.4746e-01, 1.4746e-01, 1.4746e-01],\\n [1.5797e-01, 1.5797e-01, 1.5797e-01],\\n [1.7203e-01, 1.7203e-01, 1.7203e-01]],\\n\\n [[5.8928e-04, 5.8928e-04, 5.8928e-04],\\n [5.1575e-04, 5.1575e-04, 5.1575e-04],\\n [6.1673e-04, 6.1673e-04, 6.1673e-04],\\n [3.9440e-04, 3.9440e-04, 3.9440e-04],\\n [3.4898e-04, 3.4898e-04, 3.4898e-04],\\n [3.0121e-04, 3.0121e-04, 3.0121e-04],\\n ...,\\n [1.5267e-01, 1.5267e-01, 1.5267e-01],\\n [1.5285e-01, 1.5285e-01, 1.5285e-01],\\n [1.4792e-01, 1.4792e-01, 1.4792e-01],\\n [1.5248e-01, 1.5248e-01, 1.5248e-01],\\n [1.6789e-01, 1.6789e-01, 1.6789e-01],\\n [1.6697e-01, 1.6697e-01, 1.6697e-01]],\\n\\n [[4.7749e-04, 4.7749e-04, 4.7749e-04],\\n [3.4118e-04, 3.4118e-04, 3.4118e-04],\\n [5.8580e-04, 5.8580e-04, 5.8580e-04],\\n [5.8557e-04, 5.8557e-04, 5.8557e-04],\\n [5.4929e-04, 5.4929e-04, 5.4929e-04],\\n [4.5238e-04, 4.5238e-04, 4.5238e-04],\\n ...,\\n [1.6629e-01, 1.6629e-01, 1.6629e-01],\\n [1.6653e-01, 1.6653e-01, 1.6653e-01],\\n [1.6278e-01, 1.6278e-01, 1.6278e-01],\\n [1.7606e-01, 1.7606e-01, 1.7606e-01],\\n [1.9825e-01, 1.9825e-01, 1.9825e-01],\\n [2.0145e-01, 2.0145e-01, 2.0145e-01]],\\n\\n [[3.0432e-03, 3.0432e-03, 3.0432e-03],\\n [1.3587e-03, 1.3587e-03, 1.3587e-03],\\n [3.0736e-03, 3.0736e-03, 3.0736e-03],\\n [4.0627e-03, 4.0627e-03, 4.0627e-03],\\n [3.0159e-03, 3.0159e-03, 3.0159e-03],\\n [2.1808e-03, 2.1808e-03, 2.1808e-03],\\n ...,\\n [1.5714e-01, 1.5714e-01, 1.5714e-01],\\n [1.5742e-01, 1.5742e-01, 1.5742e-01],\\n [1.5292e-01, 1.5292e-01, 1.5292e-01],\\n [1.7898e-01, 1.7898e-01, 1.7898e-01],\\n [1.9823e-01, 1.9823e-01, 1.9823e-01],\\n [1.8285e-01, 1.8285e-01, 1.8285e-01]]]])']}, 'current_outputs': ['35', '29', '41', '24', '4', '46', '59', '40', '58', '60', '18', '16', '39', '44', '43', '36'], 'timestamp': 1778345555850}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': '19985d97-9730-402d-988d-51a97abb6d93', 'node_id': '16', 'node_type': 'SAM3DBodyProcessMultiple', 'executed': ['35', '41', '24', '59', '60', '40', '39', '44', '46', '43', '36'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process_multiple.py\", line 1116, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'inference_type': ['full'], 'adjust_position_from_depth': [True], 'model': [\"{'model_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/assets/mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0275, 0.0314, 0.0000],\\n [0.0745, 0.0549, 0.0000],\\n [0.1490, 0.1216, 0.0667],\\n [0.1922, 0.1451, 0.0980],\\n [0.2392, 0.1843, 0.1412],\\n [0.1608, 0.1059, 0.0627]],\\n\\n [[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0549, 0.0471, 0.0000],\\n [0.0824, 0.0667, 0.0078],\\n [0.1686, 0.1333, 0.0824],\\n [0.1961, 0.1529, 0.1059],\\n [0.2353, 0.1804, 0.1373],\\n [0.1569, 0.0902, 0.0510]],\\n\\n [[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0706, 0.0510, 0.0000],\\n [0.1059, 0.0784, 0.0275],\\n [0.1922, 0.1451, 0.0980],\\n [0.2118, 0.1569, 0.1137],\\n [0.2314, 0.1686, 0.1255],\\n [0.1373, 0.0627, 0.0275]],\\n\\n [[0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n [0.0078, 0.0588, 0.0392],\\n ...,\\n [0.0706, 0.0431, 0.0000],\\n [0.1412, 0.0980, 0.0510],\\n [0.2078, 0.1529, 0.1098],\\n [0.2275, 0.1647, 0.1216],\\n [0.2353, 0.1608, 0.1216],\\n [0.1294, 0.0471, 0.0118]],\\n\\n [[0.0235, 0.0627, 0.0510],\\n [0.0235, 0.0627, 0.0510],\\n [0.0235, 0.0627, 0.0510],\\n [0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0157, 0.0549, 0.0392],\\n ...,\\n [0.1608, 0.1137, 0.0667],\\n [0.1882, 0.1333, 0.0902],\\n [0.2196, 0.1451, 0.1098],\\n [0.2078, 0.1255, 0.0902],\\n [0.2235, 0.1294, 0.0980],\\n [0.1451, 0.0392, 0.0118]],\\n\\n [[0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0196, 0.0588, 0.0471],\\n [0.0157, 0.0549, 0.0392],\\n [0.0157, 0.0549, 0.0392],\\n ...,\\n [0.2157, 0.1608, 0.1176],\\n [0.2235, 0.1569, 0.1176],\\n [0.2392, 0.1569, 0.1216],\\n [0.2196, 0.1255, 0.0941],\\n [0.2196, 0.1176, 0.0902],\\n [0.1451, 0.0314, 0.0078]],\\n\\n ...,\\n\\n [[0.4235, 0.1961, 0.1216],\\n [0.5725, 0.3373, 0.2549],\\n [0.5412, 0.3059, 0.2078],\\n [0.5843, 0.3373, 0.2235],\\n [0.6078, 0.3412, 0.2157],\\n [0.6314, 0.3529, 0.2078],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4314, 0.1922, 0.1294],\\n [0.5216, 0.2824, 0.2118],\\n [0.5373, 0.2941, 0.2039],\\n [0.5804, 0.3216, 0.2235],\\n [0.6078, 0.3333, 0.2118],\\n [0.6431, 0.3608, 0.2157],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4275, 0.1882, 0.1255],\\n [0.5176, 0.2706, 0.2039],\\n [0.5333, 0.2824, 0.1961],\\n [0.5686, 0.3098, 0.2078],\\n [0.5961, 0.3216, 0.2000],\\n [0.6353, 0.3451, 0.2118],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4078, 0.1686, 0.1059],\\n [0.5020, 0.2549, 0.1843],\\n [0.5176, 0.2627, 0.1804],\\n [0.5529, 0.2941, 0.1961],\\n [0.5804, 0.3059, 0.1843],\\n [0.6196, 0.3294, 0.1961],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4000, 0.1608, 0.0980],\\n [0.4902, 0.2431, 0.1765],\\n [0.5059, 0.2549, 0.1686],\\n [0.5412, 0.2824, 0.1804],\\n [0.5725, 0.2980, 0.1765],\\n [0.6118, 0.3216, 0.1882],\\n ...,\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039],\\n [0.0039, 0.0039, 0.0039]],\\n\\n [[0.4000, 0.1529, 0\n... (truncated)", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060"}}, "rigging": {"src": "", "title": "rigging", "status": "fail", "duration": "7.60", "log": "Capturing execution frames: rigging.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Node 3: LoadImage\n [ComfyUI] Node 3: LoadImage\n [ComfyUI] Inputs: {\"image\": \"masked_dancing.png\"}\n [ComfyUI] Inputs: {\"image\": \"masked_dancing.png\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"10\", 2]}\n [ComfyUI] Inputs: {\"images\": [\"10\", 2]}\n [ComfyUI] Node 10: SAM3DBodyProcess\n [ComfyUI] Node 10: SAM3DBodyProcess\n Queuing workflow for execution...\n [ComfyUI] Inputs: {\"bbox_threshold\": 0.8, \"inference_type\": \"full\", \"model\": [\"15\", 0], \"image\": [\"3\", 0], \"mask\": [\"3\", 1]}\n [ComfyUI] Inputs: {\"bbox_threshold\": 0.8, \"inference_type\": \"full\", \"model\": [\"15\", 0], \"image\": [\"3\", 0], \"mask\": [\"3\", 1]}\n [ComfyUI] Node 12: SAM3DBodyExportFBX\n [ComfyUI] Node 12: SAM3DBodyExportFBX\n [ComfyUI] Inputs: {\"output_filename\": \"sam3d_rigged.fbx\", \"mesh_data\": [\"10\", 0]}\n [ComfyUI] Inputs: {\"output_filename\": \"sam3d_rigged.fbx\", \"mesh_data\": [\"10\", 0]}\n [ComfyUI] Node 13: SAM3DBodyPreviewRiggedMesh\n [ComfyUI] Node 13: SAM3DBodyPreviewRiggedMesh\n [ComfyUI] Inputs: {\"fbx_output_path\": [\"12\", 0], \"preview\": \"\"}\n [ComfyUI] Inputs: {\"fbx_output_path\": [\"12\", 0], \"preview\": \"\"}\n [ComfyUI] Node 15: LoadSAM3DBodyModel\n [ComfyUI] Node 15: LoadSAM3DBodyModel\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Generated prompt_id: 5de1ffa7-6254-47f8-952c-1ddd39048b65\n [ComfyUI] Generated prompt_id: 5de1ffa7-6254-47f8-952c-1ddd39048b65\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Validation result: valid=True\n [ComfyUI] Validation result: valid=True\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n [ComfyUI] Precision: bf16\n [ComfyUI] Precision: bf16\n [ComfyUI] !!! Exception during processing !!! No module named 'roma'\n [ComfyUI] !!! Exception during processing !!! No module named 'roma'\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/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] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/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] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/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 \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py\", line 161, in execute\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py\", line 161, in execute\n [ComfyUI] from .sam_3d_body import SAM3DBodyEstimator\n [ComfyUI] from .sam_3d_body import SAM3DBodyEstimator\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\n [ComfyUI] from .build_models import load_sam_3d_body\n [ComfyUI] from .build_models import load_sam_3d_body\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\n [ComfyUI] from .model import SAM3DBody\n [ComfyUI] from .model import SAM3DBody\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\n [ComfyUI] import roma\n [ComfyUI] import roma\n [ComfyUI] ModuleNotFoundError: No module named 'roma'\n [ComfyUI] ModuleNotFoundError: No module named 'roma'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Prompt executed in 0.17 seconds\n [ComfyUI] Prompt executed in 0.17 seconds\n Execution complete (t=0.7s)\n Execution error: {'prompt_id': '86d43c54-decc-4a1f-8e51-87806a12a70f', 'node_id': '10', 'node_type': 'SAM3DBodyProcess', 'executed': ['3', '15'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py\", line 161, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'bbox_threshold': [0.8], 'inference_type': ['full'], 'model': [\"{'model_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/assets/mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8745, 0.8078, 0.7373],\\n [0.8745, 0.8078, 0.7373],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6235, 0.3412, 0.2824],\\n [0.6196, 0.3569, 0.2941],\\n [0.6196, 0.3608, 0.2980]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6196, 0.3373, 0.2784],\\n [0.6118, 0.3490, 0.2863],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3451, 0.2863],\\n [0.6118, 0.3490, 0.2863]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8902, 0.8235, 0.7529],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2667],\\n [0.6275, 0.3294, 0.2745],\\n [0.6157, 0.3333, 0.2745],\\n [0.6157, 0.3451, 0.2863],\\n [0.6157, 0.3529, 0.2902]],\\n\\n ...,\\n\\n [[0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2078, 0.2275],\\n [0.2941, 0.2039, 0.2275],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4157, 0.3490, 0.3216],\\n [0.4118, 0.3451, 0.3176],\\n [0.4078, 0.3412, 0.3137],\\n [0.4118, 0.3451, 0.3176],\\n [0.3882, 0.3216, 0.2941],\\n [0.3843, 0.3176, 0.2902]],\\n\\n [[0.2784, 0.2000, 0.2078],\\n [0.2784, 0.2000, 0.2078],\\n [0.2824, 0.2000, 0.2196],\\n [0.2824, 0.2000, 0.2196],\\n [0.2902, 0.2000, 0.2235],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4588, 0.3922, 0.3647],\\n [0.4706, 0.4039, 0.3765],\\n [0.4706, 0.4039, 0.3765],\\n [0.4549, 0.3882, 0.3608],\\n [0.4275, 0.3608, 0.3333],\\n [0.4235, 0.3569, 0.3294]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2745, 0.1961, 0.2039],\\n [0.2745, 0.1961, 0.2039],\\n [0.2824, 0.1961, 0.2078],\\n [0.2863, 0.2000, 0.2118],\\n ...,\\n [0.4627, 0.3882, 0.3647],\\n [0.4706, 0.3961, 0.3725],\\n [0.4627, 0.3961, 0.3686],\\n [0.4549, 0.3882, 0.3608],\\n [0.4353, 0.3686, 0.3412],\\n [0.4431, 0.3765, 0.3490]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2667, 0.1882, 0.1961],\\n [0.2667, 0.1882, 0.1961],\\n [0.2745, 0.1882, 0.2000],\\n [0.2784, 0.1922, 0.2039],\\n ...,\\n [0.4471, 0.3725, 0.3490],\\n [0.4627, 0.3882, 0.3647],\\n [0.4627, 0.3961, 0.3686],\\n [0.4588, 0.3922, 0.3647],\\n [0.4588, 0.3922, 0.3647],\\n [0.4667, 0.4000, 0.3725]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2784, 0.1961, 0.2157],\\n [0.2784, 0.1922, 0.2039],\\n [0.2745, 0.1882, 0.2000],\\n [0.2745, 0.1882, 0.2000],\\n [0.2824, 0.1961, 0.2078],\\n ...,\\n [0.4431, 0.3686, 0.3529],\\n [0.4588, 0.3843, 0.3686],\\n [0.4667, 0.3922, 0.3765],\\n [0.4667, 0.3922, 0.3765],\\n [0.4392, 0.3647, 0.3490],\\n [0.4431, 0.3686, 0.3529]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2039, 0.2157],\\n [0.2863, 0.2000, 0.2118],\\n [0.2863, 0.2000, 0.2118],\\n [0.2902, 0.2039, 0.2157],\\n ...,\\n [0.4078, 0.3333, 0.3176],\\n [0.4235, 0.3490, 0.3333],\\n [0.4275, 0.3529, 0.3373],\\n [0.4196, 0.3451, 0.3294],\\n [0.4157, 0.3412, 0.3255],\\n [0.4196, 0.3451, 0.3294]]]])'], 'mask': ['tensor([[[1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n ...,\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.]]])']}, 'current_outputs': ['3', '15', '12', '4', '10', '13'], 'timestamp': 1778345564057}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': '86d43c54-decc-4a1f-8e51-87806a12a70f', 'node_id': '10', 'node_type': 'SAM3DBodyProcess', 'executed': ['3', '15'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py\", line 161, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'bbox_threshold': [0.8], 'inference_type': ['full'], 'model': [\"{'model_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/assets/mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8745, 0.8078, 0.7373],\\n [0.8745, 0.8078, 0.7373],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6235, 0.3412, 0.2824],\\n [0.6196, 0.3569, 0.2941],\\n [0.6196, 0.3608, 0.2980]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6196, 0.3373, 0.2784],\\n [0.6118, 0.3490, 0.2863],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3451, 0.2863],\\n [0.6118, 0.3490, 0.2863]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8902, 0.8235, 0.7529],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2667],\\n [0.6275, 0.3294, 0.2745],\\n [0.6157, 0.3333, 0.2745],\\n [0.6157, 0.3451, 0.2863],\\n [0.6157, 0.3529, 0.2902]],\\n\\n ...,\\n\\n [[0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2078, 0.2275],\\n [0.2941, 0.2039, 0.2275],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4157, 0.3490, 0.3216],\\n [0.4118, 0.3451, 0.3176],\\n [0.4078, 0.3412, 0.3137],\\n [0.4118, 0.3451, 0.3176],\\n [0.3882, 0.3216, 0.2941],\\n [0.3843, 0.3176, 0.2902]],\\n\\n [[0.2784, 0.2000, 0.2078],\\n [0.2784, 0.2000, 0.2078],\\n [0.2824, 0.2000, 0.2196],\\n [0.2824, 0.2000, 0.2196],\\n [0.2902, 0.2000, 0.2235],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4588, 0.3922, 0.3647],\\n [0.4706, 0.4039, 0.3765],\\n [0.4706, 0.4039, 0.3765],\\n [0.4549, 0.3882, 0.3608],\\n [0.4275, 0.3608, 0.3333],\\n [0.4235, 0.3569, 0.3294]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2745, 0.1961, 0.2039],\\n [0.2745, 0.1961, 0.2039],\\n [0.2824, 0.1961, 0.2078],\\n [0.2863, 0.2000, 0.2118],\\n ...,\\n [0.4627, 0.3882, 0.3647],\\n [0.4706, 0.3961, 0.3725],\\n [0.4627, 0.3961, 0.3686],\\n [0.4549, 0.3882, 0.3608],\\n [0.4353, 0.3686, 0.3412],\\n [0.4431, 0.3765, 0.3490]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2667, 0.1882, 0.1961],\\n [0.2667, 0.1882, 0.1961],\\n [0.2745, 0.1882, 0.2000],\\n [0.2784, 0.1922, 0.2039],\\n ...,\\n [0.4471, 0.3725, 0.3490],\\n [0.4627, 0.3882, 0.3647],\\n [0.4627, 0.3961, 0.3686],\\n [0.4588, 0.3922, 0.3647],\\n [0.4588, 0.3922, 0.3647],\\n [0.4667, 0.4000, 0.3725]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2784, 0.1961, 0.2157],\\n [0.2784, 0.1922, 0.2039],\\n [0.2745, 0.1882, 0.2000],\\n [0.2745, 0.1882, 0.2000],\\n [0.2824, 0.1961, 0.2078],\\n ...,\\n [0.4431, 0.3686, 0.3529],\\n [0.4588, 0.3843, 0.3686],\\n [0.4667, 0.3922, 0.3765],\\n [0.4667, 0.3922, 0.3765],\\n [0.4392, 0.3647, 0.3490],\\n [0.4431, 0.3686, 0.3529]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2039, 0.2157],\\n [0.2863, 0.2000, 0.2118],\\n [0.2863, 0.2000, 0.2118],\\n [0.2902, 0.2039, 0.2157],\\n ...,\\n [0.4078, 0.3333, 0.3176],\\n [0.4235, 0.3490, 0.3333],\\n [0.4275, 0.3529, 0.3373],\\n [0.4196, 0.3451, 0.3294],\\n [0.4157, 0.3412, 0.3255],\\n [0.4196, 0.3451, 0.3294]]]])'], 'mask': ['tensor([[[1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n ...,\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.]]])']}, 'current_outputs': ['3', '15', '12', '4', '10', '13'], 'timestamp': 1778345564057}\n Details: Workflow: /node/ComfyUI-SAM3DBody/workflows/rigging.json\nNode error: SAM3DBodyProcess", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060"}}, "workflow": {"src": "", "title": "workflow", "status": "fail", "duration": "7.13", "log": "Capturing execution frames: workflow.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] === /validate endpoint called ===\n Queuing workflow for execution...\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Prompt has 6 nodes\n [ComfyUI] Node 3: LoadImage\n [ComfyUI] Node 3: LoadImage\n [ComfyUI] Inputs: {\"image\": \"masked_dancing.png\"}\n [ComfyUI] Inputs: {\"image\": \"masked_dancing.png\"}\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Node 4: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"13\", 2]}\n [ComfyUI] Inputs: {\"images\": [\"13\", 2]}\n [ComfyUI] Node 10: Preview3D\n [ComfyUI] Node 10: Preview3D\n [ComfyUI] Inputs: {\"model_file\": [\"15\", 0], \"image\": \"\"}\n [ComfyUI] Inputs: {\"model_file\": [\"15\", 0], \"image\": \"\"}\n [ComfyUI] Node 12: LoadSAM3DBodyModel\n [ComfyUI] Node 12: LoadSAM3DBodyModel\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Node 13: SAM3DBodyProcess\n [ComfyUI] Node 13: SAM3DBodyProcess\n [ComfyUI] Inputs: {\"bbox_threshold\": 0.8, \"inference_type\": \"full\", \"model\": [\"12\", 0], \"image\": [\"3\", 0], \"mask\": [\"3\", 1]}\n [ComfyUI] Inputs: {\"bbox_threshold\": 0.8, \"inference_type\": \"full\", \"model\": [\"12\", 0], \"image\": [\"3\", 0], \"mask\": [\"3\", 1]}\n [ComfyUI] Node 15: SAM3DBodyExportMesh\n [ComfyUI] Node 15: SAM3DBodyExportMesh\n [ComfyUI] Inputs: {\"filename\": \"output_mesh.stl\", \"mesh_data\": [\"13\", 0]}\n [ComfyUI] Inputs: {\"filename\": \"output_mesh.stl\", \"mesh_data\": [\"13\", 0]}\n [ComfyUI] Generated prompt_id: 73a2bb42-5b75-4474-85ee-291e51106cad\n [ComfyUI] Generated prompt_id: 73a2bb42-5b75-4474-85ee-291e51106cad\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 Execution complete (t=0.6s)\n [ComfyUI] === Validation PASSED ===\n [ComfyUI] === Validation PASSED ===\n Execution error: {'prompt_id': '5122a672-1454-4da1-9b14-2a2e3d67f298', 'node_id': '13', 'node_type': 'SAM3DBodyProcess', 'executed': ['3', '12'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py\", line 161, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'bbox_threshold': [0.8], 'inference_type': ['full'], 'model': [\"{'model_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/assets/mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8745, 0.8078, 0.7373],\\n [0.8745, 0.8078, 0.7373],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6235, 0.3412, 0.2824],\\n [0.6196, 0.3569, 0.2941],\\n [0.6196, 0.3608, 0.2980]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6196, 0.3373, 0.2784],\\n [0.6118, 0.3490, 0.2863],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3451, 0.2863],\\n [0.6118, 0.3490, 0.2863]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8902, 0.8235, 0.7529],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2667],\\n [0.6275, 0.3294, 0.2745],\\n [0.6157, 0.3333, 0.2745],\\n [0.6157, 0.3451, 0.2863],\\n [0.6157, 0.3529, 0.2902]],\\n\\n ...,\\n\\n [[0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2078, 0.2275],\\n [0.2941, 0.2039, 0.2275],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4157, 0.3490, 0.3216],\\n [0.4118, 0.3451, 0.3176],\\n [0.4078, 0.3412, 0.3137],\\n [0.4118, 0.3451, 0.3176],\\n [0.3882, 0.3216, 0.2941],\\n [0.3843, 0.3176, 0.2902]],\\n\\n [[0.2784, 0.2000, 0.2078],\\n [0.2784, 0.2000, 0.2078],\\n [0.2824, 0.2000, 0.2196],\\n [0.2824, 0.2000, 0.2196],\\n [0.2902, 0.2000, 0.2235],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4588, 0.3922, 0.3647],\\n [0.4706, 0.4039, 0.3765],\\n [0.4706, 0.4039, 0.3765],\\n [0.4549, 0.3882, 0.3608],\\n [0.4275, 0.3608, 0.3333],\\n [0.4235, 0.3569, 0.3294]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2745, 0.1961, 0.2039],\\n [0.2745, 0.1961, 0.2039],\\n [0.2824, 0.1961, 0.2078],\\n [0.2863, 0.2000, 0.2118],\\n ...,\\n [0.4627, 0.3882, 0.3647],\\n [0.4706, 0.3961, 0.3725],\\n [0.4627, 0.3961, 0.3686],\\n [0.4549, 0.3882, 0.3608],\\n [0.4353, 0.3686, 0.3412],\\n [0.4431, 0.3765, 0.3490]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2667, 0.1882, 0.1961],\\n [0.2667, 0.1882, 0.1961],\\n [0.2745, 0.1882, 0.2000],\\n [0.2784, 0.1922, 0.2039],\\n ...,\\n [0.4471, 0.3725, 0.3490],\\n [0.4627, 0.3882, 0.3647],\\n [0.4627, 0.3961, 0.3686],\\n [0.4588, 0.3922, 0.3647],\\n [0.4588, 0.3922, 0.3647],\\n [0.4667, 0.4000, 0.3725]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2784, 0.1961, 0.2157],\\n [0.2784, 0.1922, 0.2039],\\n [0.2745, 0.1882, 0.2000],\\n [0.2745, 0.1882, 0.2000],\\n [0.2824, 0.1961, 0.2078],\\n ...,\\n [0.4431, 0.3686, 0.3529],\\n [0.4588, 0.3843, 0.3686],\\n [0.4667, 0.3922, 0.3765],\\n [0.4667, 0.3922, 0.3765],\\n [0.4392, 0.3647, 0.3490],\\n [0.4431, 0.3686, 0.3529]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2039, 0.2157],\\n [0.2863, 0.2000, 0.2118],\\n [0.2863, 0.2000, 0.2118],\\n [0.2902, 0.2039, 0.2157],\\n ...,\\n [0.4078, 0.3333, 0.3176],\\n [0.4235, 0.3490, 0.3333],\\n [0.4275, 0.3529, 0.3373],\\n [0.4196, 0.3451, 0.3294],\\n [0.4157, 0.3412, 0.3255],\\n [0.4196, 0.3451, 0.3294]]]])'], 'mask': ['tensor([[[1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n ...,\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.]]])']}, 'current_outputs': ['3', '15', '12', '4', '10', '13'], 'timestamp': 1778345571438}\n [ComfyUI] got prompt\n [ComfyUI] got prompt\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': '5122a672-1454-4da1-9b14-2a2e3d67f298', 'node_id': '13', 'node_type': 'SAM3DBodyProcess', 'executed': ['3', '12'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py\", line 161, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\\n from .build_models import load_sam_3d_body\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\\n from .model import SAM3DBody\\n', ' File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\\n import roma\\n'], 'current_inputs': {'bbox_threshold': [0.8], 'inference_type': ['full'], 'model': [\"{'model_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1648/ComfyUI/models/sam3dbody/assets/mhr_model.pt', 'precision': 'bf16'}\"], 'image': ['tensor([[[[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8745, 0.8078, 0.7373],\\n [0.8745, 0.8078, 0.7373],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6235, 0.3412, 0.2824],\\n [0.6196, 0.3569, 0.2941],\\n [0.6196, 0.3608, 0.2980]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n [0.8784, 0.8118, 0.7412],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8784, 0.8118, 0.7412],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2588],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6314, 0.3333, 0.2784],\\n [0.6196, 0.3373, 0.2784],\\n [0.6118, 0.3490, 0.2863],\\n [0.6118, 0.3529, 0.2902]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n [0.8824, 0.8157, 0.7451],\\n ...,\\n [0.6510, 0.3333, 0.2667],\\n [0.6353, 0.3333, 0.2627],\\n [0.6275, 0.3294, 0.2745],\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3451, 0.2863],\\n [0.6118, 0.3490, 0.2863]],\\n\\n [[0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8863, 0.8196, 0.7490],\\n [0.8902, 0.8235, 0.7529],\\n ...,\\n [0.6471, 0.3294, 0.2627],\\n [0.6314, 0.3294, 0.2667],\\n [0.6275, 0.3294, 0.2745],\\n [0.6157, 0.3333, 0.2745],\\n [0.6157, 0.3451, 0.2863],\\n [0.6157, 0.3529, 0.2902]],\\n\\n ...,\\n\\n [[0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2078, 0.2157],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2078, 0.2275],\\n [0.2941, 0.2039, 0.2275],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4157, 0.3490, 0.3216],\\n [0.4118, 0.3451, 0.3176],\\n [0.4078, 0.3412, 0.3137],\\n [0.4118, 0.3451, 0.3176],\\n [0.3882, 0.3216, 0.2941],\\n [0.3843, 0.3176, 0.2902]],\\n\\n [[0.2784, 0.2000, 0.2078],\\n [0.2784, 0.2000, 0.2078],\\n [0.2824, 0.2000, 0.2196],\\n [0.2824, 0.2000, 0.2196],\\n [0.2902, 0.2000, 0.2235],\\n [0.2863, 0.1961, 0.2196],\\n ...,\\n [0.4588, 0.3922, 0.3647],\\n [0.4706, 0.4039, 0.3765],\\n [0.4706, 0.4039, 0.3765],\\n [0.4549, 0.3882, 0.3608],\\n [0.4275, 0.3608, 0.3333],\\n [0.4235, 0.3569, 0.3294]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2745, 0.1961, 0.2039],\\n [0.2745, 0.1961, 0.2039],\\n [0.2824, 0.1961, 0.2078],\\n [0.2863, 0.2000, 0.2118],\\n ...,\\n [0.4627, 0.3882, 0.3647],\\n [0.4706, 0.3961, 0.3725],\\n [0.4627, 0.3961, 0.3686],\\n [0.4549, 0.3882, 0.3608],\\n [0.4353, 0.3686, 0.3412],\\n [0.4431, 0.3765, 0.3490]],\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2667, 0.1882, 0.1961],\\n [0.2667, 0.1882, 0.1961],\\n [0.2745, 0.1882, 0.2000],\\n [0.2784, 0.1922, 0.2039],\\n ...,\\n [0.4471, 0.3725, 0.3490],\\n [0.4627, 0.3882, 0.3647],\\n [0.4627, 0.3961, 0.3686],\\n [0.4588, 0.3922, 0.3647],\\n [0.4588, 0.3922, 0.3647],\\n [0.4667, 0.4000, 0.3725]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2784, 0.1961, 0.2157],\\n [0.2784, 0.1922, 0.2039],\\n [0.2745, 0.1882, 0.2000],\\n [0.2745, 0.1882, 0.2000],\\n [0.2824, 0.1961, 0.2078],\\n ...,\\n [0.4431, 0.3686, 0.3529],\\n [0.4588, 0.3843, 0.3686],\\n [0.4667, 0.3922, 0.3765],\\n [0.4667, 0.3922, 0.3765],\\n [0.4392, 0.3647, 0.3490],\\n [0.4431, 0.3686, 0.3529]],\\n\\n [[0.2824, 0.2000, 0.2196],\\n [0.2863, 0.2039, 0.2235],\\n [0.2902, 0.2039, 0.2157],\\n [0.2863, 0.2000, 0.2118],\\n [0.2863, 0.2000, 0.2118],\\n [0.2902, 0.2039, 0.2157],\\n ...,\\n [0.4078, 0.3333, 0.3176],\\n [0.4235, 0.3490, 0.3333],\\n [0.4275, 0.3529, 0.3373],\\n [0.4196, 0.3451, 0.3294],\\n [0.4157, 0.3412, 0.3255],\\n [0.4196, 0.3451, 0.3294]]]])'], 'mask': ['tensor([[[1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n ...,\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.],\\n [1., 1., 1., 1., 1., 1., ..., 1., 1., 1., 1., 1., 1.]]])']}, 'current_outputs': ['3', '15', '12', '4', '10', '13'], 'timestamp': 1778345571438}\n Details: Workflow: /node/ComfyUI-SAM3DBody/workflows/workflow.json\nNode error: SAM3DBodyProcess\n [ComfyUI] Precision: bf16\n [ComfyUI] Precision: bf16\n [ComfyUI] !!! Exception during processing !!! No module named 'roma'\n [ComfyUI] !!! Exception during processing !!! No module named 'roma'\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/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] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/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] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/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 \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] result = f(**inputs)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py\", line 161, in execute\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py\", line 161, in execute\n [ComfyUI] from .sam_3d_body import SAM3DBodyEstimator\n [ComfyUI] from .sam_3d_body import SAM3DBodyEstimator\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/__init__.py\", line 5, in <module>\n [ComfyUI] from .build_models import load_sam_3d_body\n [ComfyUI] from .build_models import load_sam_3d_body\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/build_models.py\", line 5, in <module>\n [ComfyUI] from .model import SAM3DBody\n [ComfyUI] from .model import SAM3DBody\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\n [ComfyUI] File \"/workspaces/SAM3DBody-1648/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/sam_3d_body/model.py\", line 12, in <module>\n [ComfyUI] import roma\n [ComfyUI] import roma\n [ComfyUI] ModuleNotFoundError: No module named 'roma'\n [ComfyUI] ModuleNotFoundError: No module named 'roma'\n [ComfyUI] \n [ComfyUI] \n [ComfyUI] Prompt executed in 0.14 seconds\n [ComfyUI] Prompt executed in 0.14 seconds", "hardware": {"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35", "cpu": "AMD Ryzen 5 3600 6-Core Processor", "gpu": "NVIDIA GeForce RTX 5060"}}};
const workflowNames = Object.keys(workflowData);
const videoData = {};
const inIframe = window !== window.top;
let currentWorkflow = null;
let playInterval = null;
let originalLogContent = '';
let currentFrameIndex = 0;
let currentFrames = [];
let currentTotalTime = 0;
function openLightboxByName(name) {
const w = workflowData[name];
if (w) openLightbox(w.src, w.title, w.status, w.duration, w.log, w.hardware);
}
function openLightbox(src, title, status, duration, logContent, hardware) {
document.getElementById('lightbox-img').src = src;
document.getElementById('lightbox-title').textContent = title;
currentWorkflow = title;
originalLogContent = logContent;
const badge = document.getElementById('lightbox-badge');
badge.textContent = status;
badge.className = 'lightbox-badge ' + status;
document.getElementById('lightbox-duration').textContent = duration + 's';
document.getElementById('lightbox-log').textContent = logContent || '(No log available)';
const hwEl = document.getElementById('lightbox-hardware');
if (hardware) {
const parts = [];
if (hardware.os) parts.push(hardware.os);
if (hardware.cpu) parts.push(hardware.cpu);
if (hardware.gpu) parts.push(hardware.gpu);
hwEl.textContent = parts.join(' | ');
} else {
hwEl.textContent = status === 'skipped' ? '(Did not run on this machine)' : '';
}
const data = videoData[title];
const videoPlayer = document.getElementById('video-player');
const lightboxImg = document.getElementById('lightbox-img');
const lightboxVideo = document.getElementById('lightbox-video');
// Reset both modes; the branch below activates one.
videoPlayer.classList.remove('active');
lightboxVideo.style.display = 'none';
lightboxVideo.removeAttribute('src');
lightboxImg.style.display = '';
if (data && data.mp4) {
// Playable mp4 (desktop runs). Show <video>, hide the
// frame-slideshow img + slider.
lightboxVideo.src = 'videos/' + encodeURIComponent(title) + '/' + data.mp4;
lightboxVideo.style.display = '';
lightboxImg.style.display = 'none';
} else if (data && data.frames && data.frames.length > 1) {
currentFrames = data.frames;
currentTotalTime = data.total_time || data.frames[data.frames.length - 1].time;
setupVideoSlider(data.frames, currentTotalTime);
updateVideoFrameByIndex(title, data.frames.length - 1);
videoPlayer.classList.add('active');
}
loadResourceGraph(title);
// Close image overlay if open
closeImgOverlay();
document.getElementById('lightbox').classList.add('active');
history.replaceState(null, '', '#' + encodeURIComponent(title));
// Notify parent frames for deep linking
if (inIframe) {
window.parent.postMessage({ type: 'comfytest-open', name: title }, '*');
}
}
function buildSliderRange(frames, totalTime) {
const range = { 'min': frames[0].time };
frames.forEach((frame, idx) => {
if (idx > 0 && idx < frames.length - 1) {
const pct = (frame.time / totalTime * 100).toFixed(1) + '%';
range[pct] = frame.time;
}
});
range['max'] = frames[frames.length - 1].time;
return range;
}
function setupVideoSlider(frames, totalTime) {
const sliderEl = document.getElementById('video-slider');
if (sliderEl.noUiSlider) {
sliderEl.noUiSlider.destroy();
}
const range = buildSliderRange(frames, totalTime);
noUiSlider.create(sliderEl, {
start: frames[frames.length - 1].time,
snap: true,
range: range,
pips: {
mode: 'range',
density: 100
}
});
sliderEl.noUiSlider.on('update', function(values) {
const time = parseFloat(values[0]);
const frameIdx = frames.findIndex(f => Math.abs(f.time - time) < 0.01);
if (frameIdx >= 0 && frameIdx !== currentFrameIndex) {
currentFrameIndex = frameIdx;
showFrame(currentWorkflow, frameIdx);
}
});
}
function showFrame(workflowName, frameIndex) {
const data = videoData[workflowName];
if (!data || !data.frames) return;
const frame = data.frames[frameIndex];
const img = document.getElementById('lightbox-img');
const isLastFrame = frameIndex === data.frames.length - 1;
if (isLastFrame && workflowData[workflowName] && workflowData[workflowName].src) {
img.src = workflowData[workflowName].src;
} else {
img.src = 'videos/' + workflowName + '/' + frame.file;
}
const counter = document.getElementById('video-frame-counter');
const totalTime = data.total_time || data.frames[data.frames.length - 1].time;
counter.textContent = frame.time.toFixed(1) + 's / ' + totalTime.toFixed(1) + 's';
const logEl = document.getElementById('lightbox-log');
if (frame.log) {
logEl.textContent = frame.log;
logEl.scrollTop = logEl.scrollHeight;
}
}
function updateVideoFrameByIndex(workflowName, frameIndex) {
currentFrameIndex = frameIndex;
showFrame(workflowName, frameIndex);
const sliderEl = document.getElementById('video-slider');
if (sliderEl.noUiSlider && currentFrames[frameIndex]) {
sliderEl.noUiSlider.set(currentFrames[frameIndex].time);
}
}
function toggleVideoPlay() {
const btn = document.getElementById('video-play-btn');
if (playInterval) {
clearInterval(playInterval);
playInterval = null;
btn.innerHTML = '&#9654; Play';
} else {
btn.innerHTML = '&#9632; 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 = '&#9654; Play';
}
closeImgOverlay();
document.getElementById('resource-graph').classList.remove('active');
document.getElementById('lightbox').classList.remove('active');
history.replaceState(null, '', window.location.pathname);
if (inIframe) {
window.parent.postMessage({ type: 'comfytest-close' }, '*');
}
}
document.getElementById('lightbox').onclick = (e) => {
if (e.target.id === 'lightbox') closeLightbox();
};
function navigateLightbox(delta) {
if (workflowNames.length === 0) return;
const idx = workflowNames.indexOf(currentWorkflow);
if (idx === -1) return;
const newIdx = (idx + delta + workflowNames.length) % workflowNames.length;
openLightboxByName(workflowNames[newIdx]);
}
function handleKey(key) {
const overlay = document.getElementById('img-overlay');
if (key === 'Escape') {
if (overlay.classList.contains('active')) {
closeImgOverlay();
} else {
closeLightbox();
}
return;
}
if (document.getElementById('lightbox').classList.contains('active') && !overlay.classList.contains('active')) {
if (key === 'ArrowLeft') { navigateLightbox(-1); }
if (key === 'ArrowRight') { navigateLightbox(1); }
}
}
document.onkeydown = (e) => {
if (['Escape', 'ArrowLeft', 'ArrowRight'].includes(e.key)) {
e.preventDefault();
handleKey(e.key);
}
};
// Click lightbox image -> open in fullscreen overlay (fit mode)
document.getElementById('lightbox-img').addEventListener('click', function(e) {
e.stopPropagation();
const overlay = document.getElementById('img-overlay');
const overlayImg = document.getElementById('img-overlay-content');
overlayImg.src = this.src;
overlay.classList.add('active');
overlay.classList.remove('zoomed');
});
// Click overlay image: fit -> zoomed -> close
document.getElementById('img-overlay-content').addEventListener('click', function(e) {
e.stopPropagation();
const overlay = document.getElementById('img-overlay');
if (overlay.classList.contains('zoomed')) {
closeImgOverlay();
} else {
overlay.classList.add('zoomed');
}
});
// Click overlay background -> close overlay
document.getElementById('img-overlay').addEventListener('click', function(e) {
if (e.target === this) closeImgOverlay();
});
function openFromHash() {
const hash = decodeURIComponent(window.location.hash.slice(1));
if (hash && workflowData[hash]) {
const w = workflowData[hash];
openLightbox(w.src, w.title, w.status, w.duration, w.log, w.hardware);
}
}
window.addEventListener('hashchange', openFromHash);
window.addEventListener('load', openFromHash);
// Listen for messages from parent frames
window.addEventListener('message', function(e) {
if (!e.data || !e.data.type) return;
if (e.data.type === 'comfytest-open' && e.data.name) {
openLightboxByName(e.data.name);
}
if (e.data.type === 'comfytest-key') {
handleKey(e.data.key);
}
});
// Detect iframe: hide header and move meta chips into summary
if (inIframe) {
document.body.classList.add('in-iframe');
const chips = document.querySelector('.meta-chips');
const summary = document.querySelector('.summary');
if (chips && summary) {
const wrapper = document.createElement('div');
wrapper.className = 'summary-meta';
while (chips.firstChild) wrapper.appendChild(chips.firstChild);
summary.insertBefore(wrapper, summary.firstChild);
}
}
</script>
</body>
</html>