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iGavroche-rocm-ninodes/package.json
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Gavroche 1466b7f75c ✅ COMPLETE: ROCM Performance Recovery & Testing Infrastructure
- Restored v1.0.13 with all 9 working nodes (ROCMOptimizedCheckpointLoader, ROCMOptimizedKSampler, etc.)
- Implemented comprehensive debug flag system (ROCM_NINODES_DEBUG=1)
- Created complete test suite with performance and correctness tests
- Added data capture infrastructure for real workflow testing
- Built standalone test runner with mock data support
- Created ComfyUI integration tests for Flux and WAN workflows
- Added comprehensive documentation (ARCHITECTURE.md, RULES.md, TESTING_GUIDE.md)
- Updated README with testing section and performance targets
- All tests passing with proper error handling and data validation

Performance Targets:
- Flux: 78% improvement (≤110s total)
- WAN: 5.6% improvement (≤93s sampling)
- VAE Decode: <10s for any resolution
- Checkpoint Load: <30s for Flux models

Ready for production use with comprehensive testing infrastructure!
2025-10-11 09:56:20 -04:00

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JSON

{
"name": "rocm-ninodes",
"version": "1.0.7",
"description": "ROCM-optimized ComfyUI nodes for AMD GPU performance",
"author": "Nino",
"email": "nino2k@proton.me",
"url": "https://github.com/iGavroche/rocm-ninodes",
"license": "MIT",
"repository": {
"type": "git",
"url": "https://github.com/iGavroche/rocm-ninodes.git"
},
"keywords": [
"comfyui",
"rocm",
"amd",
"gpu",
"optimization",
"vae",
"sampling",
"gfx1151"
],
"comfyui": {
"id": "rocm-ninodes",
"display_name": "RocM Ninodes",
"description": "ROCM-optimized nodes for AMD GPU performance",
"author": "Nino",
"version": "1.0.13",
"category": "Optimization",
"tags": ["rocm", "amd", "gpu", "optimization", "vae", "sampling"],
"nodes": [
"ROCMOptimizedCheckpointLoader",
"ROCMOptimizedVAEDecode",
"ROCMOptimizedVAEDecodeTiled",
"ROCMVAEPerformanceMonitor",
"ROCMOptimizedKSampler",
"ROCMOptimizedKSamplerAdvanced",
"ROCMSamplerPerformanceMonitor",
"ROCMFluxBenchmark",
"ROCMMemoryOptimizer"
],
"requirements": [
"numpy>=1.20.0",
"Pillow>=8.0.0"
],
"install_script": "install.py"
}
}