Files
PozzettiAndrea-ComfyUI-SAM3…/dev/linux-gpu/index.html
T
2026-05-15 12:20:25 +00:00

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HTML

<!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>
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.resource-legend .ram { background: #3fb950; }
.resource-legend .gpu { background: #d29922; }
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/* noUiSlider customization */
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.noUi-value {
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/* Models Section */
.models-section {
margin-top: 2rem;
margin-bottom: 2rem;
}
.models-total {
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color: #8ba3c1;
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.models-folder {
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.models-folder-header {
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footer a:hover {
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/* Responsive */
@media (max-width: 600px) {
.workflow-grid {
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grid-template-columns: 1fr;
}
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width: 100%;
height: auto;
aspect-ratio: 16/10;
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.stats {
flex-direction: column;
align-items: flex-start;
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}
</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> 2026-05-15 12:19 UTC</span> <a class="meta-chip" href="https://github.com/PozzettiAndrea/comfy-gpu-ci/actions/runs/25915385890" target="_blank" rel="noopener noreferrer"><svg viewBox="0 0 16 16"><path d="M8 0a8 8 0 100 16A8 8 0 008 0zM6.5 4.5l5 3.5-5 3.5v-7z"/></svg> Test run</a> <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>27.42s</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>70.47s</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>7.37s</span>
</div>
</div>
</div>
<div class="workflow-card clickable failed" onclick="openLightboxByName('workflow')">
<div class="workflow-screenshot placeholder">No screenshot</div>
<div class="workflow-info">
<div class="workflow-header">
<span class="workflow-name" title="workflow">workflow</span>
<span class="workflow-badge fail">fail</span>
</div>
<div class="workflow-meta">
<span>6.27s</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">27.42s</span>
</div>
<div class="failed-error">Workflow execution failed: {&#x27;prompt_id&#x27;: &#x27;de149d5d-2c2b-4183-be63-0ea5e3591258&#x27;, &#x27;node_id&#x27;: &#x27;16&#x27;, &#x27;node_type&#x27;: &#x27;SAM3DBodyProcessMultiple&#x27;, &#x27;executed&#x27;: [&#x27;36&#x27;, &#x27;35&#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-1213/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/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-1213/ComfyUI/execution.py&quot;, line 297, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/internal/__init__.py&quot;, line 149, in wrapped_func\n return method(locked_class, **inputs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py&quot;, line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/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-1213/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-1213/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-1213/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-1213/ComfyUI/models/sam3dbody&#x27;, &#x27;ckpt_path&#x27;: &#x27;/workspaces/SAM3DBody-1213/ComfyUI/models/sam3dbody/model.safetensors&#x27;, &#x27;mhr_path&#x27;: &#x27;/workspaces/SAM3DBody-1213/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;16&#x27;, &#x27;4&#x27;, &#x27;39&#x27;, &#x27;18&#x27;, &#x27;29&#x27;, &#x27;24&#x27;, &#x27;36&#x27;, &#x27;35&#x27;], &#x27;timestamp&#x27;: 1778847501473}
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">70.47s</span>
</div>
<div class="failed-error">Workflow execution failed: {&#x27;prompt_id&#x27;: &#x27;519baa6b-1a71-4834-8914-b50e1d11651d&#x27;, &#x27;node_id&#x27;: &#x27;40&#x27;, &#x27;node_type&#x27;: &#x27;DepthAnything_V3&#x27;, &#x27;executed&#x27;: [&#x27;39&#x27;, &#x27;43&#x27;, &#x27;41&#x27;, &#x27;36&#x27;, &#x27;60&#x27;, &#x27;44&#x27;, &#x27;35&#x27;], &#x27;exception_message&#x27;: &#x27;No module named \&#x27;transformers\&#x27;\n\nWorker traceback:\nTraceback (most recent call last):\n File &quot;/tmp/comfyui_pvenv_ps0cjdi0/persistent_worker.py&quot;, line 1762, in main\n result = method(**inputs)\n ^^^^^^^^^^^^^^^^\n File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py&quot;, line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File &quot;/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py&quot;, line 86, in execute\n patcher = _get_or_build_da3_model(da3_model)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File &quot;/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/load_model.py&quot;, line 193, in _get_or_build_da3_model\n import comfy.model_patcher\n File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy/model_patcher.py&quot;, line 32, in &lt;module&gt;\n import comfy.hooks\n File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy/hooks.py&quot;, line 14, in &lt;module&gt;\n import comfy.lora\n File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy/lora.py&quot;, line 23, in &lt;module&gt;\n import comfy.model_base\n File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy/model_base.py&quot;, line 61, in &lt;module&gt;\n import comfy.ldm.hidream_o1.model\n File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy/ldm/hidream_o1/model.py&quot;, line 20, in &lt;module&gt;\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\n File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy/text_encoders/qwen35.py&quot;, line 10, in &lt;module&gt;\n from comfy import sd1_clip\n File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy/sd1_clip.py&quot;, line 3, in &lt;module&gt;\n from transformers import CLIPTokenizer\nModuleNotFoundError: No module named \&#x27;transformers\&#x27;\n\n&#x27;, &#x27;exception_type&#x27;: &#x27;comfy_env.isolation.workers.base.WorkerError&#x27;, &#x27;traceback&#x27;: [&#x27; File &quot;/workspaces/SAM3DBody-1213/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/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-1213/ComfyUI/execution.py&quot;, line 297, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/.venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py&quot;, line 556, in proxy\n result = worker.call_method(\n ^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/.venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py&quot;, line 674, in call_method\n raise WorkerError(\n&#x27;], &#x27;current_inputs&#x27;: {&#x27;normalization_mode&#x27;: [&#x27;Raw&#x27;], &#x27;resize_method&#x27;: [&#x27;resize&#x27;], &#x27;invert_depth&#x27;: [False], &#x27;keep_model_size&#x27;: [False], &#x27;da3_model&#x27;: [&quot;{&#x27;model_path&#x27;: &#x27;/workspaces/SAM3DBody-1213/ComfyUI/models/depthanything3/da3_giant.safetensors&#x27;, &#x27;model_key&#x27;: &#x27;da3-giant&#x27;, &#x27;dtype&#x27;: &#x27;bf16&#x27;, &#x27;attention&#x27;: &#x27;auto&#x27;}&quot;], &#x27;images&#x27;: [&#x27;tensor([[[[0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n [0.0039, 0.0510, 0.0353],\n ...,\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 ...,\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 ...,\n [0.2118, 0.1569, 0.1137],\n [0.2314, 0.1686, 0.1255],\n [0.1373, 0.0627, 0.0275]],\n\n ...,\n\n [[0.4078, 0.1686, 0.1059],\n [0.5020, 0.2549, 0.1843],\n [0.5176, 0.2627, 0.1804],\n ...,\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 ...,\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 ...,\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000],\n [0.0000, 0.0000, 0.0000]]]])&#x27;]}, &#x27;current_outputs&#x27;: [&#x27;16&#x27;, &#x27;40&#x27;, &#x27;4&#x27;, &#x27;46&#x27;, &#x27;59&#x27;, &#x27;39&#x27;, &#x27;43&#x27;, &#x27;18&#x27;, &#x27;29&#x27;, &#x27;41&#x27;, &#x27;24&#x27;, &#x27;36&#x27;, &#x27;60&#x27;, &#x27;58&#x27;, &#x27;44&#x27;, &#x27;35&#x27;], &#x27;timestamp&#x27;: 1778847572176}
Details:
Workflow: /node/ComfyUI-SAM3DBody/workflows/multiple_masks_depthcorrected.json
Node error: DepthAnything_V3</div>
</div>
<div class="failed-item">
<div class="failed-header">
<span class="failed-name">rigging</span>
<span class="failed-duration">7.37s</span>
</div>
<div class="failed-error">Workflow execution failed: {&#x27;prompt_id&#x27;: &#x27;b147d146-3825-46c6-aa1b-9680636957e3&#x27;, &#x27;node_id&#x27;: &#x27;10&#x27;, &#x27;node_type&#x27;: &#x27;SAM3DBodyProcess&#x27;, &#x27;executed&#x27;: [&#x27;15&#x27;, &#x27;3&#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-1213/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/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-1213/ComfyUI/execution.py&quot;, line 297, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/internal/__init__.py&quot;, line 149, in wrapped_func\n return method(locked_class, **inputs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py&quot;, line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/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-1213/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-1213/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-1213/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-1213/ComfyUI/models/sam3dbody&#x27;, &#x27;ckpt_path&#x27;: &#x27;/workspaces/SAM3DBody-1213/ComfyUI/models/sam3dbody/model.safetensors&#x27;, &#x27;mhr_path&#x27;: &#x27;/workspaces/SAM3DBody-1213/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 ...,\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 ...,\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 ...,\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3529, 0.2902],\n [0.6118, 0.3529, 0.2902]],\n\n ...,\n\n [[0.2784, 0.1961, 0.2157],\n [0.2745, 0.1922, 0.2118],\n [0.2667, 0.1882, 0.1961],\n ...,\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 ...,\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 ...,\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.],\n [1., 1., 1., ..., 1., 1., 1.],\n [1., 1., 1., ..., 1., 1., 1.],\n ...,\n [1., 1., 1., ..., 1., 1., 1.],\n [1., 1., 1., ..., 1., 1., 1.],\n [1., 1., 1., ..., 1., 1., 1.]]])&#x27;]}, &#x27;current_outputs&#x27;: [&#x27;13&#x27;, &#x27;12&#x27;, &#x27;4&#x27;, &#x27;3&#x27;, &#x27;15&#x27;, &#x27;10&#x27;], &#x27;timestamp&#x27;: 1778847579987}
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">6.27s</span>
</div>
<div class="failed-error">Workflow execution failed: {&#x27;prompt_id&#x27;: &#x27;05023388-f37b-4db9-8637-d9fabadc04ee&#x27;, &#x27;node_id&#x27;: &#x27;13&#x27;, &#x27;node_type&#x27;: &#x27;SAM3DBodyProcess&#x27;, &#x27;executed&#x27;: [&#x27;12&#x27;, &#x27;3&#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-1213/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/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-1213/ComfyUI/execution.py&quot;, line 297, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/internal/__init__.py&quot;, line 149, in wrapped_func\n return method(locked_class, **inputs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py&quot;, line 1833, in EXECUTE_NORMALIZED\n to_return = cls.execute(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n&#x27;, &#x27; File &quot;/workspaces/SAM3DBody-1213/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-1213/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-1213/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-1213/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-1213/ComfyUI/models/sam3dbody&#x27;, &#x27;ckpt_path&#x27;: &#x27;/workspaces/SAM3DBody-1213/ComfyUI/models/sam3dbody/model.safetensors&#x27;, &#x27;mhr_path&#x27;: &#x27;/workspaces/SAM3DBody-1213/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 ...,\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 ...,\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 ...,\n [0.6196, 0.3373, 0.2784],\n [0.6157, 0.3529, 0.2902],\n [0.6118, 0.3529, 0.2902]],\n\n ...,\n\n [[0.2784, 0.1961, 0.2157],\n [0.2745, 0.1922, 0.2118],\n [0.2667, 0.1882, 0.1961],\n ...,\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 ...,\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 ...,\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.],\n [1., 1., 1., ..., 1., 1., 1.],\n [1., 1., 1., ..., 1., 1., 1.],\n ...,\n [1., 1., 1., ..., 1., 1., 1.],\n [1., 1., 1., ..., 1., 1., 1.],\n [1., 1., 1., ..., 1., 1., 1.]]])&#x27;]}, &#x27;current_outputs&#x27;: [&#x27;13&#x27;, &#x27;12&#x27;, &#x27;4&#x27;, &#x27;3&#x27;, &#x27;15&#x27;, &#x27;10&#x27;], &#x27;timestamp&#x27;: 1778847586873}
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">124.0 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/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/model.safetensors.metadata</span><span class="models-file-size">124.0 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": "27.42", "log": "Capturing execution frames: multiple_masks.json\n [ComfyUI] [DEPRECATION WARNING] Detected import of deprecated legacy API: /extensions/core/widgetInputs.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n [ComfyUI] === /validate endpoint called ===\n [ComfyUI] Received JSON with keys: ['prompt']\n [ComfyUI] Prompt has 8 nodes\n [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 Queuing workflow for execution...\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: e365d781-c4a5-411a-8067-b556594923d9\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.safetensors \"HTTP/1.1 302 Found\"\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/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: HEAD https://huggingface.co/apozz/sam-3d-body-safetensors/resolve/0c0bd82453ec0a6c14caa2de3ae47c667c11546a/model_config.yaml \"HTTP/1.1 307 Temporary Redirect\"\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] Downloading (incomplete total...): 1.52kB [00:00, 6.10kB/s]\n [ComfyUI] \n [ComfyUI] Fetching 4 files: 25%|\u2588\u2588\u258c | 1/4 [00:00<00:00, 4.02it/s]\u001b[AHTTP 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] 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/2.13G [00:00<97:09:53, 6.10kB/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] 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[00:03<00:07, 264MB/s]\n [ComfyUI] Downloading (incomplete total...): 34%|\u2588\u2588\u2588\u258d | 967M/2.83G [00:04<00:11, 166MB/s]\n [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.0/23.4GB (17%) swap=1.9/32.0GB (6%) cpu=9% browser_rss=0.88GB\n [ComfyUI] Downloading (incomplete total...): 36%|\u2588\u2588\u2588\u258c | 1.01G/2.83G [00:05<00:12, 149MB/s]\n [ComfyUI] Downloading (incomplete total...): 41%|\u2588\u2588\u2588\u2588 | 1.15G/2.83G [00:06<00:11, 145MB/s]\n [ComfyUI] Downloading (incomplete total...): 43%|\u2588\u2588\u2588\u2588\u258e | 1.20G/2.83G [00:07<00:13, 122MB/s]\n [ComfyUI] Downloading (incomplete total...): 45%|\u2588\u2588\u2588\u2588\u258c | 1.28G/2.83G [00:07<00:10, 144MB/s]\n [ComfyUI] Downloading (incomplete total...): 46%|\u2588\u2588\u2588\u2588\u258c | 1.30G/2.83G [00:07<00:11, 137MB/s]\n [ComfyUI] Downloading (incomplete total...): 48%|\u2588\u2588\u2588\u2588\u258a | 1.35G/2.83G [00:08<00:11, 126MB/s]\n [ComfyUI] Downloading (incomplete total...): 50%|\u2588\u2588\u2588\u2588\u2588 | 1.42G/2.83G [00:08<00:12, 111MB/s]\n [ComfyUI] Downloading (incomplete total...): 52%|\u2588\u2588\u2588\u2588\u2588\u258f | 1.47G/2.83G [00:09<00:10, 126MB/s]\n [ComfyUI] Downloading (incomplete total...): 53%|\u2588\u2588\u2588\u2588\u2588\u258e | 1.49G/2.83G [00:09<00:11, 116MB/s]\n [ComfyUI] Downloading (incomplete total...): 53%|\u2588\u2588\u2588\u2588\u2588\u258e | 1.50G/2.83G [00:09<00:12, 103MB/s]\n [ComfyUI] Downloading (incomplete total...): 54%|\u2588\u2588\u2588\u2588\u2588\u258e | 1.52G/2.83G [00:09<00:13, 94.0MB/s]\n [ComfyUI] Downloading (incomplete total...): 55%|\u2588\u2588\u2588\u2588\u2588\u258c | 1.56G/2.83G [00:10<00:11, 110MB/s]\n [ComfyUI] Downloading (incomplete total...): 58%|\u2588\u2588\u2588\u2588\u2588\u258a | 1.65G/2.83G [00:10<00:06, 177MB/s]\n [capture-loop] iter=100 t=11.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.0/23.4GB (17%) swap=1.9/32.0GB (6%) cpu=13% browser_rss=0.88GB\n [ComfyUI] Downloading (incomplete total...): 59%|\u2588\u2588\u2588\u2588\u2588\u2589 | 1.67G/2.83G [00:10<00:09, 119MB/s]\n [ComfyUI] Downloading (incomplete total...): 61%|\u2588\u2588\u2588\u2588\u2588\u2588 | 1.72G/2.83G [00:11<00:09, 113MB/s]\n [ComfyUI] Downloading (incomplete total...): 67%|\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 1.89G/2.83G [00:14<00:12, 74.3MB/s]\n [ComfyUI] Downloading (incomplete total...): 75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 2.11G/2.83G [00:14<00:04, 145MB/s]\n [ComfyUI] Downloading (incomplete total...): 77%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.19G/2.83G [00:14<00:03, 166MB/s]\n [ComfyUI] Downloading (incomplete total...): 79%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589 | 2.24G/2.83G [00:15<00:04, 148MB/s]\n [capture-loop] iter=150 t=16.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=2 ram=4.4/23.4GB (19%) swap=1.9/32.0GB (6%) cpu=13% browser_rss=0.88GB\n [ComfyUI] Downloading (incomplete total...): 81%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.28G/2.83G [00:15<00:04, 118MB/s]\n [ComfyUI] Downloading (incomplete total...): 87%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 2.46G/2.83G [00:16<00:02, 157MB/s]\n [ComfyUI] Downloading (incomplete total...): 91%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 2.58G/2.83G [00:17<00:01, 142MB/s]\n [ComfyUI] Downloading (incomplete total...): 95%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d| 2.68G/2.83G [00:18<00:01, 142MB/s]\n [ComfyUI] Downloading (incomplete total...): 97%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b| 2.73G/2.83G [00:18<00:00, 148MB/s]\n [ComfyUI] Downloading (incomplete total...): 98%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a| 2.76G/2.83G [00:19<00:00, 112MB/s]\n [ComfyUI] Downloading (incomplete total...): 2.83GB [00:19, 132MB/s]\n [ComfyUI] \n [ComfyUI] Fetching 4 files: 75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3/4 [00:20<00:08, 8.79s/it]\u001b[A\n [ComfyUI] Fetching 4 files: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 4/4 [00:20<00:00, 5.01s/it]\n [ComfyUI] \n [ComfyUI] Download complete: : 2.83GB [00:20, 132MB/s] Download complete.\n [ComfyUI] LoadMultibandImage: Loaded /workspaces/SAM3DBody-1213/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-1213/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] ^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\n [ComfyUI] return method(locked_class, **inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/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-1213/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-1213/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-1213/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 20.42 seconds\n [ComfyUI] \n [ComfyUI] Download complete: : 2.83GB [00:20, 138MB/s]\n Execution complete (t=20.9s)\n Execution error: {'prompt_id': 'de149d5d-2c2b-4183-be63-0ea5e3591258', 'node_id': '16', 'node_type': 'SAM3DBodyProcessMultiple', 'executed': ['36', '35', '24', '39'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process_multiple.py\", line 1116, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1213/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-1213/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-1213/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-1213/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1213/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1213/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': ['16', '4', '39', '18', '29', '24', '36', '35'], 'timestamp': 1778847501473}\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'de149d5d-2c2b-4183-be63-0ea5e3591258', 'node_id': '16', 'node_type': 'SAM3DBodyProcessMultiple', 'executed': ['36', '35', '24', '39'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process_multiple.py\", line 1116, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1213/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-1213/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-1213/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-1213/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1213/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1213/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': ['16', '4', '39', '18', '29', '24', '36', '35'], 'timestamp': 1778847501473}\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": "70.47", "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 Queuing workflow for execution...\n [ComfyUI] Node 24: LoadSAM3DBodyModel\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Node 29: Preview3D\n [ComfyUI] Inputs: {\"model_file\": [\"18\", 0], \"image\": \"\", \"camera_info\": [\"60\", 0]}\n [ComfyUI] Node 35: MultibandLoad\n [ComfyUI] Inputs: {\"image\": \"fellowship.npz\", \"normalize\": true}\n [ComfyUI] Node 36: MultibandToImage\n [ComfyUI] Inputs: {\"channels\": \"0,1,2\", \"multiband\": [\"35\", 0]}\n [ComfyUI] Node 39: MultibandToMasks\n [ComfyUI] Inputs: {\"channels\": \"0\", \"auto_detect_masks\": true, \"multiband\": [\"35\", 0]}\n [ComfyUI] Node 40: DepthAnything_V3\n [ComfyUI] Inputs: {\"normalization_mode\": \"Raw\", \"resize_method\": \"resize\", \"invert_depth\": false, \"keep_model_size\": false, \"da3_model\": [\"41\", 0], \"images\": [\"36\", 0]}\n [ComfyUI] Node 41: DownloadAndLoadDepthAnythingV3Model\n [ComfyUI] Inputs: {\"model\": \"da3_giant.safetensors\", \"precision\": \"auto\", \"attention\": \"auto\"}\n [ComfyUI] Node 43: MaskPreview\n [ComfyUI] Inputs: {\"mask\": [\"39\", 0]}\n [ComfyUI] Node 44: PreviewImage\n [ComfyUI] Inputs: {\"images\": [\"36\", 0]}\n [ComfyUI] Node 46: PreviewAny\n [ComfyUI] Inputs: {\"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: bb94af61-8144-48cd-bb81-b70d37edf65e\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-1213/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] [comfy-env] Running DownloadAndLoadDepthAnythingV3Model: model: 'da3_giant.safetensors', precision: 'auto', attention: 'auto'\n [ComfyUI] [comfy-env] SubprocessWorker: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [VRAM] Before DownloadAndLoadDepthAnythingV3Model: 612 / 7672 MB\n [ComfyUI] [comfy-env] env_vars: {'COMFYUI_BASE': '/workspaces/SAM3DBody-1213/ComfyUI'}\n [ComfyUI] [SubprocessWorker] call_method: nodes.load_model.DownloadAndLoadDepthAnythingV3Model.EXECUTE_NORMALIZED\n [ComfyUI] [ComfyUI-DepthAnythingV3] python: /root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] sys_path sent to worker: ['/workspaces/SAM3DBody-1213/ComfyUI', '/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3', '/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages', '/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3']\n [ComfyUI] [SubprocessWorker] is_pixi=True, python=/root/.ce/.pixi/envs/depthanythingv3-nodes/bin/python\n [ComfyUI] [SubprocessWorker] launching cmd=['/root/.pixi/bin/pixi', 'run', '--as-is', '--manifest-path', '/root/.ce/pixi.toml', '-e', 'depthanythingv3-nodes', 'python', '/tmp/comfyui_pvenv_ps0cjdi0/persistent_worker.py', 'abstract://comfy_worker_9f71608c05fc']...\n [ComfyUI] [SubprocessWorker] socket_addr=abstract://comfy_worker_9f71608c05fc (abstract, no filesystem path)\n Frame 2 saved (frame_001.jpg, t=0.7s)\n [capture-node] freeze=11ms shot=144ms unfreeze=6ms saved=True\n Node executed (2 total), capturing...\n [capture-node] freeze=2ms shot=167ms unfreeze=3ms saved=False\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] ERROR: Failed to import comfy_kitchen, Error: No module named 'comfy_kitchen', fp8 and fp4 support will not be available.\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=1 sending call_method\n [ComfyUI] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n [ComfyUI] \n [ComfyUI] model.safetensors: 0%| | 0.00/5.42G [00:00<?, ?B/s]\n [ComfyUI] model.safetensors: 0%| | 140k/5.42G [00:01<10:58:25, 137kB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 3 saved (frame_002.jpg, t=5.7s)\n [capture-periodic] freeze=1ms shot=161ms unfreeze=4ms saved=True\n [capture-loop] iter=50 t=6.5s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2 ram=5.0/23.4GB (21%) swap=2.0/32.0GB (6%) cpu=12% browser_rss=0.89GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 6%|\u258c | 335M/5.42G [00:07<01:49, 46.5MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=100 t=12.0s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2 ram=5.2/23.4GB (22%) swap=2.0/32.0GB (6%) cpu=12% browser_rss=0.90GB\n Frame 4 saved (frame_003.jpg, t=12.4s)\n [capture-periodic] freeze=2ms shot=165ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 7%|\u258b | 402M/5.42G [00:09<01:53, 44.4MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 5 saved (frame_004.jpg, t=14.7s)\n [capture-periodic] freeze=1ms shot=160ms unfreeze=4ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 12%|\u2588\u258f | 671M/5.42G [00:12<01:21, 58.1MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 6 saved (frame_005.jpg, t=16.9s)\n [capture-periodic] freeze=1ms shot=163ms unfreeze=3ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 15%|\u2588\u258d | 805M/5.42G [00:14<01:11, 64.5MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=150 t=17.8s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=6 ram=5.6/23.4GB (24%) swap=2.0/32.0GB (6%) cpu=13% browser_rss=0.90GB\n Frame 7 saved (frame_006.jpg, t=19.2s)\n [capture-periodic] freeze=2ms shot=169ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 20%|\u2588\u2589 | 1.07G/5.42G [00:16<00:53, 81.3MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 8 saved (frame_007.jpg, t=21.5s)\n [capture-periodic] freeze=1ms shot=163ms unfreeze=6ms saved=True\n [capture-loop] iter=200 t=23.4s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2 ram=5.8/23.4GB (25%) swap=2.1/32.0GB (6%) cpu=14% browser_rss=0.91GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 21%|\u2588\u2588 | 1.14G/5.42G [00:23<01:49, 39.1MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 27%|\u2588\u2588\u258b | 1.48G/5.42G [00:25<00:58, 68.0MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 9 saved (frame_008.jpg, t=28.3s)\n [capture-periodic] freeze=2ms shot=156ms unfreeze=2ms saved=True\n [capture-loop] iter=250 t=29.2s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2 ram=6.4/23.4GB (28%) swap=2.1/32.0GB (6%) cpu=13% browser_rss=0.90GB\n Frame 10 saved (frame_009.jpg, t=30.6s)\n [capture-periodic] freeze=2ms shot=167ms unfreeze=5ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 43%|\u2588\u2588\u2588\u2588\u258e | 2.35G/5.42G [00:31<00:30, 102MB/s] [SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=300 t=34.8s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=7 ram=6.0/23.4GB (26%) swap=2.1/32.0GB (7%) cpu=13% browser_rss=0.90GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 51%|\u2588\u2588\u2588\u2588\u2588 | 2.75G/5.42G [00:31<00:19, 138MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 11 saved (frame_010.jpg, t=35.1s)\n [capture-periodic] freeze=2ms shot=164ms unfreeze=8ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 57%|\u2588\u2588\u2588\u2588\u2588\u258b | 3.08G/5.42G [00:32<00:13, 169MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [ComfyUI] \n [ComfyUI] model.safetensors: 66%|\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 3.55G/5.42G [00:33<00:07, 235MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 12 saved (frame_011.jpg, t=37.5s)\n [capture-periodic] freeze=2ms shot=187ms unfreeze=19ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 68%|\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 3.69G/5.42G [00:37<00:13, 131MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n [capture-loop] iter=350 t=41.0s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2 ram=5.6/23.4GB (24%) swap=2.1/32.0GB (7%) cpu=17% browser_rss=0.89GB\n Frame 13 saved (frame_012.jpg, t=42.2s)\n [capture-periodic] freeze=2ms shot=176ms unfreeze=2ms saved=True\n [ComfyUI] \n [ComfyUI] model.safetensors: 73%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 3.96G/5.42G [00:39<00:11, 124MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 14 saved (frame_013.jpg, t=44.6s)\n [capture-periodic] freeze=2ms shot=168ms unfreeze=4ms saved=True\n [capture-loop] iter=400 t=46.8s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2 ram=5.9/23.4GB (25%) swap=2.1/32.0GB (7%) cpu=15% browser_rss=0.90GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 90%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588 | 4.90G/5.42G [00:45<00:03, 143MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 15 saved (frame_014.jpg, t=49.2s)\n [ComfyUI] \n [capture-periodic] freeze=1ms shot=167ms unfreeze=5ms saved=True\n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 5.42G/5.42G [00:46<00:00, 196MB/s][SubprocessWorker] callback 'report_progress' from call_id=1\n Frame 16 saved (frame_015.jpg, t=52.3s)\n [capture-periodic] freeze=2ms shot=169ms unfreeze=5ms saved=True\n [capture-loop] iter=450 t=53.5s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2 ram=4.7/23.4GB (20%) swap=2.1/32.0GB (7%) cpu=8% browser_rss=0.90GB\n [capture-loop] iter=500 t=59.0s state={'complete': False, 'error': None, 'executedCount': 2, 'wsState': 1} eval_ms=2 ram=4.7/23.4GB (20%) swap=2.1/32.0GB (7%) cpu=4% browser_rss=0.89GB\n [ComfyUI] \n [ComfyUI] model.safetensors: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 5.42G/5.42G [00:56<00:00, 95.9MB/s]\n [ComfyUI] [SubprocessWorker] got response: ok\n [ComfyUI] [comfy-env] DownloadAndLoadDepthAnythingV3Model done (59.38s): result: NodeOutput\n [ComfyUI] [VRAM] After DownloadAndLoadDepthAnythingV3Model: 729 / 7672 MB\n [ComfyUI] [comfy-env] Running DepthAnything_V3: normalization_mode: 'Raw', resize_method: 'resize', invert_depth: False, keep_model_size: False, da3_model: dict, images: torch.float32 [1,497,1200,3] cpu\n [ComfyUI] [VRAM] Before DepthAnything_V3: 729 / 7672 MB\n [ComfyUI] [SubprocessWorker] call_method: nodes.nodes_inference.DepthAnything_V3.EXECUTE_NORMALIZED\n [ComfyUI] [SubprocessWorker] acquired lock, ensuring started...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ping (timeout=5.0s)...\n [ComfyUI] [ComfyUI-DepthAnythingV3] Health check: ok\n [ComfyUI] [SubprocessWorker] worker started/confirmed\n [ComfyUI] [comfy-env] PRE-SERIALIZE 'images' shape: torch.Size([1, 497, 1200, 3])\n [ComfyUI] [SubprocessWorker] serializing kwargs to shm...\n [ComfyUI] [SubprocessWorker] created 0 shm blocks\n [ComfyUI] [SubprocessWorker] sending request via socket...\n [ComfyUI] [SubprocessWorker] call_id=2 sending call_method\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] _from_shm got dict with keys: ['__type__', 'strategy', 'parent_pid', 'fd', 'storage_size']\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZE TensorRef: tensor_size=[1, 497, 1200, 3]\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] [comfy-env] DESERIALIZED tensor shape: torch.Size([1, 497, 1200, 3])\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] WARNING: No comfy kitchen, using old apply_rope functions.\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3]\n [ComfyUI] === WATCHDOG TICK 1 ===\n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] Thread 0x0000758bbd956640 (most recent call first):\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/threading.py\", line 359 in wait\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/threading.py\", line 655 in wait\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/tqdm/_monitor.py\", line 60 in run\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/threading.py\", line 1075 in _bootstrap_inner\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/threading.py\", line 1032 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x0000758f70faf640 (most recent call first):\n [ComfyUI] File \"/tmp/comfyui_pvenv_ps0cjdi0/persistent_worker.py\", line 106 in _vram_poller\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/threading.py\", line 1012 in run\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/threading.py\", line 1075 in _bootstrap_inner\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/threading.py\", line 1032 in _bootstrap\n [ComfyUI] \n [ComfyUI] Current thread 0x0000758f717b4640 (most recent call first):\n [ComfyUI] File \"/tmp/comfyui_pvenv_ps0cjdi0/persistent_worker.py\", line 52 in _watchdog\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/threading.py\", line 1012 in run\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/threading.py\", line 1075 in _bootstrap_inner\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/threading.py\", line 1032 in _bootstrap\n [ComfyUI] \n [ComfyUI] Thread 0x0000758f71daf740 (most recent call first):\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 147 in _path_stat\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 153 in _path_is_mode_type\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 161 in _path_isfile\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 1638 in find_spec\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 1506 in _get_spec\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 1532 in find_spec\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1262 in _find_spec\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1322 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1415 in _handle_fromlist\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torch/onnx/_internal/exporter/_ir_passes.py\", line 9 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1415 in _handle_fromlist\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torch/onnx/_internal/exporter/_onnx_program.py\", line 21 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torch/onnx/__init__.py\", line 28 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torchvision/ops/_register_onnx_ops.py\", line 5 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torchvision/ops/__init__.py\", line 1 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1310 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torchvision/models/convnext.py\", line 9 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torchvision/models/__init__.py\", line 2 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1415 in _handle_fromlist\n [ComfyUI] File \"/root/.ce/.pixi/envs/depthanythingv3-nodes/lib/python3.12/site-packages/torchvision/__init__.py\", line 10 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/ldm/cosmos/model.py\", line 25 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/model_base.py\", line 40 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/lora.py\", line 23 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/hooks.py\", line 14 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/model_patcher.py\", line 32 in <module>\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 488 in _call_with_frames_removed\n [ComfyUI] File \"<frozen importlib._bootstrap_external>\", line 999 in exec_module\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 935 in _load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1331 in _find_and_load_unlocked\n [ComfyUI] File \"<frozen importlib._bootstrap>\", line 1360 in _find_and_load\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/load_model.py\", line 193 in _get_or_build_da3_model\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 86 in execute\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py\", line 1833 in EXECUTE_NORMALIZED\n [ComfyUI] File \"/tmp/comfyui_pvenv_ps0cjdi0/persistent_worker.py\", line 1762 in main\n [ComfyUI] ...\n [ComfyUI] \n [ComfyUI] [worker:ComfyUI-DepthAnythingV3] === END ===\n [ComfyUI] \n Frame 17 saved (frame_016.jpg, t=61.6s)\n [capture-periodic] freeze=2ms shot=172ms unfreeze=4ms saved=True\n [ComfyUI] [SubprocessWorker] got response: error\n [ComfyUI] !!! Exception during processing !!! No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_ps0cjdi0/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 86, in execute\n [ComfyUI] patcher = _get_or_build_da3_model(da3_model)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/load_model.py\", line 193, in _get_or_build_da3_model\n [ComfyUI] import comfy.model_patcher\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n [ComfyUI] import comfy.hooks\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/hooks.py\", line 14, in <module>\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/model_base.py\", line 61, in <module>\n [ComfyUI] import comfy.ldm.hidream_o1.model\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\n [ComfyUI] from comfy.text_encoders.qwen35 import Qwen35VisionModel\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\n [ComfyUI] from comfy import sd1_clip\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\n [ComfyUI] from transformers import CLIPTokenizer\n [ComfyUI] ModuleNotFoundError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] await process_inputs(input_dict, i)\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] result = f(**inputs)\n [ComfyUI] ^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/.venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\n [ComfyUI] result = worker.call_method(\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/.venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\n [ComfyUI] raise WorkerError(\n [ComfyUI] comfy_env.isolation.workers.base.WorkerError: No module named 'transformers'\n [ComfyUI] \n [ComfyUI] Worker traceback:\n [ComfyUI] Traceback (most recent call last):\n [ComfyUI] File \"/tmp/comfyui_pvenv_ps0cjdi0/persistent_worker.py\", line 1762, in main\n [ComfyUI] result = method(**inputs)\n [ComfyUI] ^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\n [ComfyUI] to_return = cls.execute(*args, **kwargs)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 86, in execute\n [ComfyUI] patcher = _get_or_build_da3_model(da3_model)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/load_model.py\", line 193, in _get_or_build_da3_model\n [ComfyUI] import comfy.model_patcher\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\n Execution complete (t=64.4s)\n [ComfyUI] import comfy.hooks\n Execution error: {'prompt_id': '519baa6b-1a71-4834-8914-b50e1d11651d', 'node_id': '40', 'node_type': 'DepthAnything_V3', 'executed': ['39', '43', '41', '36', '60', '44', '35'], 'exception_message': 'No module named \\'transformers\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_ps0cjdi0/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 86, in execute\\n patcher = _get_or_build_da3_model(da3_model)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/load_model.py\", line 193, in _get_or_build_da3_model\\n import comfy.model_patcher\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/model_base.py\", line 61, in <module>\\n import comfy.ldm.hidream_o1.model\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\\n from comfy import sd1_clip\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\\n from transformers import CLIPTokenizer\\nModuleNotFoundError: No module named \\'transformers\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/.venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/.venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'normalization_mode': ['Raw'], 'resize_method': ['resize'], 'invert_depth': [False], 'keep_model_size': [False], 'da3_model': [\"{'model_path': '/workspaces/SAM3DBody-1213/ComfyUI/models/depthanything3/da3_giant.safetensors', 'model_key': 'da3-giant', 'dtype': 'bf16', 'attention': 'auto'}\"], 'images': ['tensor([[[[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n ...,\\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 ...,\\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 ...,\\n [0.2118, 0.1569, 0.1137],\\n [0.2314, 0.1686, 0.1255],\\n [0.1373, 0.0627, 0.0275]],\\n\\n ...,\\n\\n [[0.4078, 0.1686, 0.1059],\\n [0.5020, 0.2549, 0.1843],\\n [0.5176, 0.2627, 0.1804],\\n ...,\\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 ...,\\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 ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]]]])']}, 'current_outputs': ['16', '40', '4', '46', '59', '39', '43', '18', '29', '41', '24', '36', '60', '58', '44', '35'], 'timestamp': 1778847572176}\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/hooks.py\", line 14, in <module>\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': '519baa6b-1a71-4834-8914-b50e1d11651d', 'node_id': '40', 'node_type': 'DepthAnything_V3', 'executed': ['39', '43', '41', '36', '60', '44', '35'], 'exception_message': 'No module named \\'transformers\\'\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_ps0cjdi0/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n ^^^^^^^^^^^^^^^^\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/nodes_inference.py\", line 86, in execute\\n patcher = _get_or_build_da3_model(da3_model)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-DepthAnythingV3/nodes/load_model.py\", line 193, in _get_or_build_da3_model\\n import comfy.model_patcher\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/model_patcher.py\", line 32, in <module>\\n import comfy.hooks\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/hooks.py\", line 14, in <module>\\n import comfy.lora\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/lora.py\", line 23, in <module>\\n import comfy.model_base\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/model_base.py\", line 61, in <module>\\n import comfy.ldm.hidream_o1.model\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/ldm/hidream_o1/model.py\", line 20, in <module>\\n from comfy.text_encoders.qwen35 import Qwen35VisionModel\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/text_encoders/qwen35.py\", line 10, in <module>\\n from comfy import sd1_clip\\n File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/sd1_clip.py\", line 3, in <module>\\n from transformers import CLIPTokenizer\\nModuleNotFoundError: No module named \\'transformers\\'\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/.venv/lib/python3.12/site-packages/comfy_env/isolation/metadata.py\", line 556, in proxy\\n result = worker.call_method(\\n ^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/.venv/lib/python3.12/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n'], 'current_inputs': {'normalization_mode': ['Raw'], 'resize_method': ['resize'], 'invert_depth': [False], 'keep_model_size': [False], 'da3_model': [\"{'model_path': '/workspaces/SAM3DBody-1213/ComfyUI/models/depthanything3/da3_giant.safetensors', 'model_key': 'da3-giant', 'dtype': 'bf16', 'attention': 'auto'}\"], 'images': ['tensor([[[[0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n [0.0039, 0.0510, 0.0353],\\n ...,\\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 ...,\\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 ...,\\n [0.2118, 0.1569, 0.1137],\\n [0.2314, 0.1686, 0.1255],\\n [0.1373, 0.0627, 0.0275]],\\n\\n ...,\\n\\n [[0.4078, 0.1686, 0.1059],\\n [0.5020, 0.2549, 0.1843],\\n [0.5176, 0.2627, 0.1804],\\n ...,\\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 ...,\\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 ...,\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000],\\n [0.0000, 0.0000, 0.0000]]]])']}, 'current_outputs': ['16', '40', '4', '46', '59', '39', '43', '18', '29', '41', '24', '36', '60', '58', '44', '35'], 'timestamp': 1778847572176}\n Details: Workflow: /node/ComfyUI-SAM3DBody/workflows/multiple_masks_depthcorrected.json\nNode error: DepthAnything_V3\n [ComfyUI] import comfy.lora\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy/lora.py\", line 23, in <module>\n [ComfyUI] import comfy.model_base", "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": "7.37", "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 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\": [\"10\", 2]}\n [ComfyUI] Inputs: {\"images\": [\"10\", 2]}\n [ComfyUI] Node 10: SAM3DBodyProcess\n [ComfyUI] Node 10: SAM3DBodyProcess\n [ComfyUI] Inputs: {\"bbox_threshold\": 0.8, \"inference_type\": \"full\", \"model\": [\"15\", 0], \"image\": [\"3\", 0], \"mask\": [\"3\", 1]}\n [ComfyUI] Inputs: {\"bbox_threshold\": 0.8, \"inference_type\": \"full\", \"model\": [\"15\", 0], \"image\": [\"3\", 0], \"mask\": [\"3\", 1]}\n [ComfyUI] Node 12: SAM3DBodyExportFBX\n [ComfyUI] Node 12: SAM3DBodyExportFBX\n [ComfyUI] Inputs: {\"output_filename\": \"sam3d_rigged.fbx\", \"mesh_data\": [\"10\", 0]}\n [ComfyUI] Inputs: {\"output_filename\": \"sam3d_rigged.fbx\", \"mesh_data\": [\"10\", 0]}\n [ComfyUI] Node 13: SAM3DBodyPreviewRiggedMesh\n [ComfyUI] Node 13: SAM3DBodyPreviewRiggedMesh\n [ComfyUI] Inputs: {\"fbx_output_path\": [\"12\", 0], \"preview\": \"\"}\n [ComfyUI] Inputs: {\"fbx_output_path\": [\"12\", 0], \"preview\": \"\"}\n [ComfyUI] Node 15: LoadSAM3DBodyModel\n [ComfyUI] Node 15: LoadSAM3DBodyModel\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Inputs: {\"precision\": \"auto\"}\n [ComfyUI] Generated prompt_id: 5f0cd121-488f-428d-9386-c6d9459e3a9b\n [ComfyUI] Generated prompt_id: 5f0cd121-488f-428d-9386-c6d9459e3a9b\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-1213/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 535, in execute\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 335, in get_output_data\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/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 Execution complete (t=0.8s)\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 297, in process_inputs\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 297, in process_inputs\n Execution error: {'prompt_id': 'b147d146-3825-46c6-aa1b-9680636957e3', 'node_id': '10', 'node_type': 'SAM3DBodyProcess', 'executed': ['15', '3'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py\", line 161, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1213/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-1213/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-1213/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-1213/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1213/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1213/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 ...,\\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 ...,\\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 ...,\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n ...,\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2667, 0.1882, 0.1961],\\n ...,\\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 ...,\\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 ...,\\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.],\\n [1., 1., 1., ..., 1., 1., 1.],\\n [1., 1., 1., ..., 1., 1., 1.],\\n ...,\\n [1., 1., 1., ..., 1., 1., 1.],\\n [1., 1., 1., ..., 1., 1., 1.],\\n [1., 1., 1., ..., 1., 1., 1.]]])']}, 'current_outputs': ['13', '12', '4', '3', '15', '10'], 'timestamp': 1778847579987}\n [ComfyUI] result = f(**inputs)\n [ComfyUI] result = f(**inputs)\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': 'b147d146-3825-46c6-aa1b-9680636957e3', 'node_id': '10', 'node_type': 'SAM3DBodyProcess', 'executed': ['15', '3'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py\", line 161, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1213/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-1213/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-1213/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-1213/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1213/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1213/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 ...,\\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 ...,\\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 ...,\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n ...,\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2667, 0.1882, 0.1961],\\n ...,\\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 ...,\\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 ...,\\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.],\\n [1., 1., 1., ..., 1., 1., 1.],\\n [1., 1., 1., ..., 1., 1., 1.],\\n ...,\\n [1., 1., 1., ..., 1., 1., 1.],\\n [1., 1., 1., ..., 1., 1., 1.],\\n [1., 1., 1., ..., 1., 1., 1.]]])']}, 'current_outputs': ['13', '12', '4', '3', '15', '10'], 'timestamp': 1778847579987}\n Details: Workflow: /node/ComfyUI-SAM3DBody/workflows/rigging.json\nNode error: SAM3DBodyProcess\n [ComfyUI] ^^^^^^^^^^^\n [ComfyUI] ^^^^^^^^^^^\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\n [ComfyUI] File \"/workspaces/SAM3DBody-1213/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)", "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": "6.27", "log": "Capturing execution frames: workflow.json\n Frame 1 saved (frame_000.jpg, t=0.0s)\n Validating workflow...\n Queuing workflow for execution...\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\": [\"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 Execution complete (t=0.4s)\n [ComfyUI] Generated prompt_id: 844642bf-cb0d-49b4-97e8-27141e65939d\n [ComfyUI] Generated prompt_id: 844642bf-cb0d-49b4-97e8-27141e65939d\n Execution error: {'prompt_id': '05023388-f37b-4db9-8637-d9fabadc04ee', 'node_id': '13', 'node_type': 'SAM3DBodyProcess', 'executed': ['12', '3'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py\", line 161, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1213/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-1213/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-1213/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-1213/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1213/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1213/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 ...,\\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 ...,\\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 ...,\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n ...,\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2667, 0.1882, 0.1961],\\n ...,\\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 ...,\\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 ...,\\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.],\\n [1., 1., 1., ..., 1., 1., 1.],\\n [1., 1., 1., ..., 1., 1., 1.],\\n ...,\\n [1., 1., 1., ..., 1., 1., 1.],\\n [1., 1., 1., ..., 1., 1., 1.],\\n [1., 1., 1., ..., 1., 1., 1.]]])']}, 'current_outputs': ['13', '12', '4', '3', '15', '10'], 'timestamp': 1778847586873}\n [ComfyUI] Calling execution.validate_prompt()...\n [ComfyUI] Calling execution.validate_prompt()...\n Status: FAILED\n Error: Workflow execution failed: {'prompt_id': '05023388-f37b-4db9-8637-d9fabadc04ee', 'node_id': '13', 'node_type': 'SAM3DBodyProcess', 'executed': ['12', '3'], 'exception_message': \"No module named 'roma'\\n\", 'exception_type': 'ModuleNotFoundError', 'traceback': [' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/internal/__init__.py\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/SAM3DBody-1213/ComfyUI/custom_nodes/ComfyUI-SAM3DBody/nodes/process.py\", line 161, in execute\\n from .sam_3d_body import SAM3DBodyEstimator\\n', ' File \"/workspaces/SAM3DBody-1213/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-1213/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-1213/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-1213/ComfyUI/models/sam3dbody', 'ckpt_path': '/workspaces/SAM3DBody-1213/ComfyUI/models/sam3dbody/model.safetensors', 'mhr_path': '/workspaces/SAM3DBody-1213/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 ...,\\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 ...,\\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 ...,\\n [0.6196, 0.3373, 0.2784],\\n [0.6157, 0.3529, 0.2902],\\n [0.6118, 0.3529, 0.2902]],\\n\\n ...,\\n\\n [[0.2784, 0.1961, 0.2157],\\n [0.2745, 0.1922, 0.2118],\\n [0.2667, 0.1882, 0.1961],\\n ...,\\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 ...,\\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 ...,\\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.],\\n [1., 1., 1., ..., 1., 1., 1.],\\n [1., 1., 1., ..., 1., 1., 1.],\\n ...,\\n [1., 1., 1., ..., 1., 1., 1.],\\n [1., 1., 1., ..., 1., 1., 1.],\\n [1., 1., 1., ..., 1., 1., 1.]]])']}, 'current_outputs': ['13', '12', '4', '3', '15', '10'], 'timestamp': 1778847586873}\n Details: Workflow: /node/ComfyUI-SAM3DBody/workflows/workflow.json\nNode error: SAM3DBodyProcess\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", "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); }
if ((key === 'ArrowUp' || key === 'ArrowDown') && inIframe) {
window.parent.postMessage({
type: 'comfytest-platform-shift',
delta: key === 'ArrowUp' ? -1 : 1,
workflow: currentWorkflow,
}, '*');
}
}
}
document.onkeydown = (e) => {
if (['Escape', 'ArrowLeft', 'ArrowRight', 'ArrowUp', 'ArrowDown'].includes(e.key)) {
e.preventDefault();
handleKey(e.key);
}
};
// Click lightbox image -> open in fullscreen overlay (fit mode)
document.getElementById('lightbox-img').addEventListener('click', function(e) {
e.stopPropagation();
const overlay = document.getElementById('img-overlay');
const overlayImg = document.getElementById('img-overlay-content');
overlayImg.src = this.src;
overlay.classList.add('active');
overlay.classList.remove('zoomed');
});
// Click overlay image: fit -> zoomed -> close
document.getElementById('img-overlay-content').addEventListener('click', function(e) {
e.stopPropagation();
const overlay = document.getElementById('img-overlay');
if (overlay.classList.contains('zoomed')) {
closeImgOverlay();
} else {
overlay.classList.add('zoomed');
}
});
// Click overlay background -> close overlay
document.getElementById('img-overlay').addEventListener('click', function(e) {
if (e.target === this) closeImgOverlay();
});
function openFromHash() {
const hash = decodeURIComponent(window.location.hash.slice(1));
if (hash && workflowData[hash]) {
const w = workflowData[hash];
openLightbox(w.src, w.title, w.status, w.duration, w.log, w.hardware);
}
}
window.addEventListener('hashchange', openFromHash);
window.addEventListener('load', openFromHash);
// Listen for messages from parent frames
window.addEventListener('message', function(e) {
if (!e.data || !e.data.type) return;
if (e.data.type === 'comfytest-open' && e.data.name) {
openLightboxByName(e.data.name);
}
if (e.data.type === 'comfytest-key') {
handleKey(e.data.key);
}
});
// Detect iframe: hide header and move meta chips into summary
if (inIframe) {
document.body.classList.add('in-iframe');
const chips = document.querySelector('.meta-chips');
const summary = document.querySelector('.summary');
if (chips && summary) {
const wrapper = document.createElement('div');
wrapper.className = 'summary-meta';
while (chips.firstChild) wrapper.appendChild(chips.firstChild);
summary.insertBefore(wrapper, summary.firstChild);
}
}
</script>
</body>
</html>