mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
blackify
This commit is contained in:
parent
880727436c
commit
29ac252501
@ -175,6 +175,7 @@ DB_FILE = Path("invokeai.db")
|
||||
LEGACY_INIT_FILE = Path("invokeai.init")
|
||||
DEFAULT_MAX_VRAM = 2.75
|
||||
|
||||
|
||||
class InvokeAISettings(BaseSettings):
|
||||
"""
|
||||
Runtime configuration settings in which default values are
|
||||
|
@ -82,7 +82,7 @@ PRECISION_CHOICES = ["auto", "float16", "float32"]
|
||||
HAS_CUDA = torch.cuda.is_available()
|
||||
_, MAX_VRAM = torch.cuda.mem_get_info() if HAS_CUDA else (0, 0)
|
||||
MAX_VRAM /= 1073741824 # GB in bytes
|
||||
MAX_VRAM_CACHE_RATIO = 0.55 # first guess of optimal vram cache based on total available
|
||||
MAX_VRAM_CACHE_RATIO = 0.55 # first guess of optimal vram cache based on total available
|
||||
|
||||
INIT_FILE_PREAMBLE = """# InvokeAI initialization file
|
||||
# This is the InvokeAI initialization file, which contains command-line default values.
|
||||
@ -571,9 +571,10 @@ def default_startup_options(init_file: Path) -> Namespace:
|
||||
opts = InvokeAIAppConfig.get_config()
|
||||
# dynamically adust vram for memory size
|
||||
if not init_file.exists():
|
||||
opts.max_vram_cache_size = round((MAX_VRAM * MAX_VRAM_CACHE_RATIO)*4) / 4
|
||||
opts.max_vram_cache_size = round((MAX_VRAM * MAX_VRAM_CACHE_RATIO) * 4) / 4
|
||||
return opts
|
||||
|
||||
|
||||
def default_user_selections(program_opts: Namespace) -> InstallSelections:
|
||||
try:
|
||||
installer = ModelInstall(config)
|
||||
@ -713,6 +714,7 @@ def migrate_init_file(legacy_format: Path):
|
||||
# -------------------------------------
|
||||
def migrate_models(root: Path):
|
||||
from invokeai.backend.install.migrate_to_3 import do_migrate
|
||||
|
||||
do_migrate(root, root)
|
||||
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user