Improve memory handling for safetensor models in corner cases

- Added preemptive model unloading and cache clearing in register_patched_safetensor_modelpatcher() to resolve potential memory issues when allocations are unavailable, prompting the usage of the standard loaders.

distorch_2.py

@@ -67,10 +67,14 @@ def register_patched_safetensor_modelpatcher():
             allocations = safetensor_allocation_store.get(debug_hash)
 
             if not hasattr(self.model, '_distorch_high_precision_loras') or not allocations:
+                mm.unload_all_models()
+                soft_empty_cache_multigpu(logger)
                 result = original_partially_load(self, device_to, extra_memory, force_patch_weights)
                 if hasattr(self, '_distorch_block_assignments'):
                     del self._distorch_block_assignments
                 return result
+            
+            mm.unload_all_models()
             soft_empty_cache_multigpu(logger)
 
             mem_counter = 0

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-multigpu"
 description = "Provides a suite of custom nodes to manage multiple GPUs for ComfyUI, including advanced model offloading for both GGUF and Safetensor formats with DisTorch, and bespoke MultiGPU support for WanVideoWrapper and other custom nodes."
-version = "2.4.2"
+version = "2.4.3"
 license = {file = "LICENSE"}
 
 [project.urls]