dynamicVRAM + --cache-ram 2 (CORE-117) (#13603)

* pinned_memory: remove JIT RAM pressure release

This doesn't work, as freeing intermediates for pins needs to be
higher-priority than freeing pins-for-pins if and when you are going
to do that. So this is too late as pins-for-pins is model load time
and we dont have JIT pins-for-pins.

* cacheing: Add a filter to only free intermediates from inactive wfs

This is to get priorities in amongst pins straight.

* mm: free inactive-ram from RAM cache first

Stuff from inactive workflows should be freed before anything else.

* caching: purge old ModelPatchers first

Dont try and score them, just dump them at the first sign of trouble
if they arent part of the workflow.

comfy/model_management.py

@@ -663,6 +663,7 @@ def minimum_inference_memory():
 
 def free_memory(memory_required, device, keep_loaded=[], for_dynamic=False, pins_required=0, ram_required=0):
     cleanup_models_gc()
+    comfy.memory_management.extra_ram_release(max(pins_required, ram_required))
     unloaded_model = []
     can_unload = []
     unloaded_models = []

comfy/pinned_memory.py

@@ -2,7 +2,6 @@ import comfy.model_management
 import comfy.memory_management
 import comfy_aimdo.host_buffer
 import comfy_aimdo.torch
-import psutil
 
 from comfy.cli_args import args
 
@@ -12,11 +11,6 @@ def get_pin(module):
 def pin_memory(module):
     if module.pin_failed or args.disable_pinned_memory or get_pin(module) is not None:
         return
-    #FIXME: This is a RAM cache trigger event
-    ram_headroom = comfy.memory_management.RAM_CACHE_HEADROOM
-    #we split the difference and assume half the RAM cache headroom is for us
-    if ram_headroom > 0 and psutil.virtual_memory().available < (ram_headroom * 0.5):
-        comfy.memory_management.extra_ram_release(ram_headroom)
 
     size = comfy.memory_management.vram_aligned_size([ module.weight, module.bias ])