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this pull request has two fixes:

one is arrangement of GUI

other is more substantial but untested on windows machines:

ProfilerX Apple Silicon Compatibility Fix

Problem

The ComfyUI_ProfilerX custom node was throwing errors on Apple Silicon Macs because it was using CUDA-specific PyTorch functions that don't exist on MPS (Metal Performance Shaders) backend.

Error: AttributeError: module 'torch.mps' has no attribute 'current_device'

Root Cause

The ProfilerX code contained hardcoded CUDA function calls:

  • torch.cuda.reset_peak_memory_stats()
  • torch.cuda.memory_allocated()
  • torch.cuda.max_memory_allocated()

These functions don't exist in the MPS backend used by Apple Silicon.

Solution

Created a cross-platform memory management system:

1. Created memory_manager.py

  • Detects device type (CUDA, MPS, or CPU)
  • Provides unified interface for memory operations
  • Gracefully handles missing functions on different platforms

2. Updated profiler_core.py

  • Replaced all torch.cuda.* calls with memory manager calls
  • Added fallback mechanisms for initialization failures
  • Enhanced error handling and logging

3. Enhanced __init__.py

  • Added try/catch blocks around ProfilerX initialization
  • Gracefully disables extension if initialization fails
  • Prevents ComfyUI startup crashes

4. Fixed PyTorch Installation

  • Updated README to use stable PyTorch instead of CPU nightly build
  • Removed confusing "Alternative" installation section

Files Modified

  • custom_nodes/ComfyUI_ProfilerX/memory_manager.py (new)
  • custom_nodes/ComfyUI_ProfilerX/profiler_core.py
  • custom_nodes/ComfyUI_ProfilerX/__init__.py
  • custom_nodes/ComfyUI_ProfilerX/tests/test_compatibility.py (new)

Testing

Run the compatibility test:

python custom_nodes/ComfyUI_ProfilerX/test_compatibility.py

Benefits

  • ✅ Works on Apple Silicon (MPS)
  • ✅ Works on CUDA systems
  • ✅ Works on CPU-only systems
  • ✅ Graceful fallback on unsupported systems
  • ✅ No more startup crashes
  • ✅ Better error reporting

Next Steps

  1. Test the fix by running ComfyUI
  2. If issues persist, disable ProfilerX: mv custom_nodes/ComfyUI_ProfilerX custom_nodes/ComfyUI_ProfilerX.disabled
  3. Consider updating to official PyTorch with proper MPS support

maybites added 2 commits July 15, 2025 11:26
## Problem
The ComfyUI_ProfilerX custom node was throwing errors on Apple Silicon Macs because it was using CUDA-specific PyTorch functions that don't exist on MPS (Metal Performance Shaders) backend.

**Error:** `AttributeError: module 'torch.mps' has no attribute 'current_device'`

## Root Cause
The ProfilerX code contained hardcoded CUDA function calls:
- `torch.cuda.reset_peak_memory_stats()`
- `torch.cuda.memory_allocated()`
- `torch.cuda.max_memory_allocated()`

These functions don't exist in the MPS backend used by Apple Silicon.

## Solution
Created a cross-platform memory management system:

### 1. Created `memory_manager.py`
- Detects device type (CUDA, MPS, or CPU)
- Provides unified interface for memory operations
- Gracefully handles missing functions on different platforms

### 2. Updated `profiler_core.py`
- Replaced all `torch.cuda.*` calls with memory manager calls
- Added fallback mechanisms for initialization failures
- Enhanced error handling and logging

### 3. Enhanced `__init__.py`
- Added try/catch blocks around ProfilerX initialization
- Gracefully disables extension if initialization fails
- Prevents ComfyUI startup crashes

### 4. Fixed PyTorch Installation
- Updated README to use stable PyTorch instead of CPU nightly build
- Removed confusing "Alternative" installation section

## Files Modified
- `custom_nodes/ComfyUI_ProfilerX/memory_manager.py` (new)
- `custom_nodes/ComfyUI_ProfilerX/profiler_core.py`
- `custom_nodes/ComfyUI_ProfilerX/__init__.py`
- `custom_nodes/ComfyUI_ProfilerX/tests/test_compatibility.py` (new)

## Testing
Run the compatibility test:
```bash
python custom_nodes/ComfyUI_ProfilerX/test_compatibility.py
```

## Benefits
- ✅ Works on Apple Silicon (MPS)
- ✅ Works on CUDA systems
- ✅ Works on CPU-only systems
- ✅ Graceful fallback on unsupported systems
- ✅ No more startup crashes
- ✅ Better error reporting

## Next Steps
1. Test the fix by running ComfyUI
2. If issues persist, disable ProfilerX: `mv custom_nodes/ComfyUI_ProfilerX custom_nodes/ComfyUI_ProfilerX.disabled`
3. Consider updating to official PyTorch with proper MPS support
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