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cli_args: update cache_ram default to be 25% threshold

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Rattus 2026-03-26 20:59:50 +10:00
parent d6bc6f0a5f
commit 1c751557e2
2 changed files with 9 additions and 3 deletions
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4
comfy/cli_args.py
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@ -110,11 +110,13 @@ parser.add_argument("--preview-method", type=LatentPreviewMethod, default=Latent
parser.add_argument("--preview-size", type=int, default=512, help="Sets the maximum preview size for sampler nodes.")
CACHE_RAM_AUTO_GB = -1.0
cache_group = parser.add_mutually_exclusive_group()
cache_group.add_argument("--cache-classic", action="store_true", help="Use the old style (aggressive) caching.")
cache_group.add_argument("--cache-lru", type=int, default=0, help="Use LRU caching with a maximum of N node results cached. May use more RAM/VRAM.")
cache_group.add_argument("--cache-none", action="store_true", help="Reduced RAM/VRAM usage at the expense of executing every node for each run.")
cache_group.add_argument("--cache-ram", nargs='?', const=4.0, type=float, default=0, help="Use RAM pressure caching with the specified headroom threshold. If available RAM drops below the threhold the cache remove large items to free RAM. Default 4GB")
cache_group.add_argument("--cache-ram", nargs='?', const=CACHE_RAM_AUTO_GB, type=float, default=0, help="Use RAM pressure caching with the specified headroom threshold. If available RAM drops below the threshold the cache removes large items to free RAM. Default (when no value is provided): 25%% of system RAM (min 4GB, max 32GB).")
attn_group = parser.add_mutually_exclusive_group()
attn_group.add_argument("--use-split-cross-attention", action="store_true", help="Use the split cross attention optimization. Ignored when xformers is used.")

8
main.py
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@ -275,15 +275,19 @@ def _collect_output_absolute_paths(history_result: dict) -> list[str]:
def prompt_worker(q, server_instance):
current_time: float = 0.0
cache_ram = args.cache_ram
if cache_ram < 0:
cache_ram = min(32.0, max(4.0, comfy.model_management.total_ram * 0.25 / 1024.0))
cache_type = execution.CacheType.CLASSIC
if args.cache_lru > 0:
cache_type = execution.CacheType.LRU
elif args.cache_ram > 0:
elif cache_ram > 0:
cache_type = execution.CacheType.RAM_PRESSURE
elif args.cache_none:
cache_type = execution.CacheType.NONE
e = execution.PromptExecutor(server_instance, cache_type=cache_type, cache_args={ "lru" : args.cache_lru, "ram" : args.cache_ram } )
e = execution.PromptExecutor(server_instance, cache_type=cache_type, cache_args={ "lru" : args.cache_lru, "ram" : cache_ram } )
last_gc_collect = 0
need_gc = False
gc_collect_interval = 10.0