Commit Graph
7 Commits
Author SHA1 Message Date
John Pollock 6c3e938f32 chore: dead code clean-up 2025-10-13 19:46:40 -05:00
John Pollock 1951513e92 refactor: migrate DisTorch2 allocation tracking to per-model metadata
- Replace global safetensor_allocation_store/safetensor_settings_store and create_safetensor_model_hash
  with a per-model annotation (_distorch_v2_meta) stored directly on the inner model object.
- Update distorch_2 to remove global stores and hash creation; parse and consume allocation strings
  from inner_model._distorch_v2_meta during model registration and loading.
- Update wrappers, checkpoint_multigpu, device_utils, and __init__ to set and read the new metadata
  instead of writing/reading global stores.
- Simplify detection of DisTorch-managed models (check inner_model._distorch_v2_meta) and adjust
  logging to surface inner model ids and allocation info.
- Clean up related imports and dead code paths.

Files changed: distorch_2.py, wrappers.py, checkpoint_multigpu.py, device_utils.py, model_management_mgpu.py, __init__.py
2025-10-13 19:00:59 -05:00
John Pollock 161174266c Add UNet offload device support, and enhance Florence2 model loading with safetensors conversion option. 2025-10-12 04:35:43 -05:00
John Pollock 72a20338ef feat: patch load_models_gpu for accurate memory calculations; unpatch load_models_gpu
Refactor memory management in distorch_2.py to patch load_models_gpu instead of LoadedModel.model_memory_required. Implement correct memory reporting based on model flags (eject_models and is_distorch_model), ensuring proper eviction logic and improved handling of virtual VRAM. This drives behavior purely by either comfy core matching or DisTorch flag, fixing potential issues in multi-GPU setups.
2025-10-04 17:16:51 -05:00
John Pollock e6d19951d7 Paranoia before cleanup 2025-10-04 12:32:37 -05:00
John Pollock 62752d1bbf Standardize doc strings and make PEP 257 compliant 2025-09-30 09:34:41 -05:00
John Pollock 8b8a16e982 Major architectural refactor: Consolidate wrappers, fix CheckpointLoader bug, improve separation of concerns (-531 lines)
This commit represents a significant architectural refactoring to improve code organization,
eliminate redundancy, and fix a critical bug in wrapper functions. Net reduction of 531 lines
while improving maintainability and fixing functionality.

## wrappers.py (NEW FILE: +531 lines)
- Created dedicated module for ALL node wrapper/override functions
- Consolidated 10 wrapper types from 3 different files into single location:
  * DisTorch V2 SafeTensor wrappers (factory + 3 implementations)
  * DisTorch V1 legacy wrappers (4 GGUF/CLIP wrappers, rewritten to call V2 backend)
  * Standard MultiGPU wrappers (3 device selection wrappers)
- CRITICAL FIX: All wrappers now strip MultiGPU-specific parameters before calling
  original ComfyUI functions (fixes CheckpointLoaderSimple TypeError)
- Improved architecture: clear separation between wrapper UI and backend logic

## distorch.py (DELETED: -529 lines)
- Removed entire legacy DisTorch V1 file
- All V1 wrapper functions moved to wrappers.py and rewritten to call V2 backend
- Backend allocation functions no longer needed (V2 backend handles all cases)
- Eliminates code duplication and maintenance burden

## distorch_2.py (-409 lines)
- Removed duplicate _create_distorch_safetensor_v2_override factory function
  (was incorrectly present in both distorch_2.py and wrappers.py)
- Removed 3 wrapper export functions (moved to wrappers.py)
- File now contains ONLY backend logic:
  * register_patched_safetensor_modelpatcher()
  * analyze_safetensor_loading() and analyze_safetensor_loading_clip()
  * calculate_safetensor_vvram_allocation()
  * Allocation stores and model hash functions
- Added clear documentation comment about wrapper migration

## __init__.py (-230 lines)
- Removed 3 local wrapper function definitions (moved to wrappers.py)
- Removed soft_empty_cache_distorch2_patched (moved to device_utils.py)
- Removed all distorch.py imports (file deleted)
- Added imports from new wrappers.py module (10 wrapper functions)
- Updated imports from distorch_2.py (backend functions only, no wrappers)
- Improved architecture: __init__.py now focused on initialization and registration

## device_utils.py (+68 lines)
- Moved soft_empty_cache_distorch2_patched() from __init__.py
- Added comprehensive memory management patch in architecturally correct location
- Patch includes:
  * DisTorch2 detection and multi-device VRAM management
  * Adaptive CPU memory threshold checking
  * Force flag support for executor cache reset (Manager parity)
- Applied patch at module level: mm.soft_empty_cache = soft_empty_cache_distorch2_patched
- Behavior preserved: patch still executes when device_utils is imported by __init__.py

## nodes.py (-30 lines)
- Removed unused wrapper function imports
- Cleaned up import statements to reflect new architecture

## Impact Summary
- Improved architecture: Clear separation between wrappers (UI) and backend (logic)
- Eliminated distorch.py: Reduced from 3 files to 2 (wrappers.py + distorch_2.py)
- Net code reduction: 531 lines removed while adding functionality
- Better maintainability: Single source of truth for all wrapper functions
- Preserved behavior: All patches execute correctly, no functional changes

## Breaking Changes
None - this is a pure refactor with no API or behavioral changes.
2025-09-30 08:13:21 -05:00