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use heuristic to select RAM cache size during headless install; blackified

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This commit is contained in:
Lincoln Stein
2023-09-25 19:18:58 -04:00
committed by Kent Keirsey
parent 0c97a1e7e7
commit d59e534cad
10 changed files with 39 additions and 40 deletions
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14
invokeai/backend/install/invokeai_configure.py
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@ -70,7 +70,6 @@ def get_literal_fields(field) -> list[Any]:
config = InvokeAIAppConfig.get_config()
Model_dir = "models"
Default_config_file = config.model_conf_path
SD_Configs = config.legacy_conf_path
@ -458,7 +457,7 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
)
self.add_widget_intelligent(
npyscreen.TitleFixedText,
name="Model RAM cache size (GB). Make this at least large enough to hold a single full model.",
name="Model RAM cache size (GB). Make this at least large enough to hold a single full model (2GB for SD-1, 6GB for SDXL).",
begin_entry_at=0,
editable=False,
color="CONTROL",
@ -651,8 +650,19 @@ def edit_opts(program_opts: Namespace, invokeai_opts: Namespace) -> argparse.Nam
return editApp.new_opts()
def default_ramcache() -> float:
"""Run a heuristic for the default RAM cache based on installed RAM."""
# Note that on my 64 GB machine, psutil.virtual_memory().total gives 62 GB,
# So we adjust everthing down a bit.
return (
15.0 if MAX_RAM >= 60 else 7.5 if MAX_RAM >= 30 else 4 if MAX_RAM >= 14 else 2.1
) # 2.1 is just large enough for sd 1.5 ;-)
def default_startup_options(init_file: Path) -> Namespace:
opts = InvokeAIAppConfig.get_config()
opts.ram = default_ramcache()
return opts