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https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
port more globals changes over
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parent
259d6ec90d
commit
27241cdde1
@ -204,7 +204,6 @@ def invoke_cli():
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sys.stdin = open(infile,"r")
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sys.stdin = open(infile,"r")
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model_manager = ModelManagerService(config,logger)
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model_manager = ModelManagerService(config,logger)
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set_autocompleter(model_manager)
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events = EventServiceBase()
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events = EventServiceBase()
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output_folder = config.output_path
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output_folder = config.output_path
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@ -231,9 +230,11 @@ def invoke_cli():
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logger=logger,
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logger=logger,
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configuration=config,
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configuration=config,
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)
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)
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system_graphs = create_system_graphs(services.graph_library)
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system_graphs = create_system_graphs(services.graph_library)
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system_graph_names = set([g.name for g in system_graphs])
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system_graph_names = set([g.name for g in system_graphs])
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set_autocompleter(services)
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invoker = Invoker(services)
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invoker = Invoker(services)
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session: GraphExecutionState = invoker.create_execution_state()
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session: GraphExecutionState = invoker.create_execution_state()
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@ -14,7 +14,7 @@ from invokeai.backend.model_management.model_manager import (
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SDModelInfo,
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SDModelInfo,
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)
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)
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from invokeai.app.models.exceptions import CanceledException
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from invokeai.app.models.exceptions import CanceledException
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from ...backend import Args, Globals # this must go when pr 3340 merged
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from .config import InvokeAIAppConfig
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from ...backend.util import choose_precision, choose_torch_device
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from ...backend.util import choose_precision, choose_torch_device
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if TYPE_CHECKING:
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if TYPE_CHECKING:
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@ -33,7 +33,7 @@ class ModelManagerServiceBase(ABC):
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@abstractmethod
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@abstractmethod
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def __init__(
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def __init__(
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self,
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self,
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config: Args,
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config: InvokeAIAppConfig,
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logger: types.ModuleType,
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logger: types.ModuleType,
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):
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):
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"""
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"""
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@ -248,7 +248,7 @@ class ModelManagerService(ModelManagerServiceBase):
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"""Responsible for managing models on disk and in memory"""
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"""Responsible for managing models on disk and in memory"""
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def __init__(
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def __init__(
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self,
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self,
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config: Args,
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config: InvokeAIAppConfig,
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logger: types.ModuleType,
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logger: types.ModuleType,
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):
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):
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"""
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"""
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@ -257,10 +257,10 @@ class ModelManagerService(ModelManagerServiceBase):
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and sequential_offload boolean. Note that the default device
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and sequential_offload boolean. Note that the default device
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type and precision are set up for a CUDA system running at half precision.
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type and precision are set up for a CUDA system running at half precision.
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"""
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"""
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if config.conf and Path(config.conf).exists():
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if config.model_conf_path and config.model_conf_path.exists():
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config_file = config.conf
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config_file = config.model_conf_path
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else:
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else:
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config_file = Path(Globals.root, "configs", "models.yaml")
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config_file = config.root_dir / "configs/models.yaml"
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if not config_file.exists():
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if not config_file.exists():
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raise IOError(f"The file {config_file} could not be found.")
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raise IOError(f"The file {config_file} could not be found.")
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@ -224,8 +224,8 @@ class ModelManager(object):
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raise ValueError('config argument must be an OmegaConf object, a Path or a string')
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raise ValueError('config argument must be an OmegaConf object, a Path or a string')
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# check config version number and update on disk/RAM if necessary
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# check config version number and update on disk/RAM if necessary
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self._update_config_file_version()
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self.globals = get_invokeai_config()
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self.globals = get_invokeai_config()
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self._update_config_file_version()
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self.logger = logger
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self.logger = logger
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self.cache = ModelCache(
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self.cache = ModelCache(
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max_cache_size=max_cache_size,
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max_cache_size=max_cache_size,
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