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https://github.com/invoke-ai/InvokeAI
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(minor) Fix static checks and typo.
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@ -262,8 +262,7 @@ class InvokeAIAppConfig(InvokeAISettings):
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ram : float = Field(default=7.5, gt=0, description="Maximum memory amount used by model cache for rapid switching (floating point number, GB)", json_schema_extra=Categories.ModelCache, )
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vram : float = Field(default=0.25, ge=0, description="Amount of VRAM reserved for model storage (floating point number, GB)", json_schema_extra=Categories.ModelCache, )
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lazy_offload : bool = Field(default=True, description="Keep models in VRAM until their space is needed", json_schema_extra=Categories.ModelCache, )
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log_memory_usage : bool = Field(default=False, description="If True, a memory snapshot will be captured before and after every model cache operation, and the result will be logged (at debug level). There is a time cost to capturing the memory snapshots, so it is recommended to only enable this feature unless you are actively inspecting the model cache's behaviour.", json_schema_extra=Categories.ModelCache)
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log_memory_usage : bool = Field(default=False, description="If True, a memory snapshot will be captured before and after every model cache operation, and the result will be logged (at debug level). There is a time cost to capturing the memory snapshots, so it is recommended to only enable this feature if you are actively inspecting the model cache's behaviour.", json_schema_extra=Categories.ModelCache)
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# DEVICE
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device : Literal["auto", "cpu", "cuda", "cuda:1", "mps"] = Field(default="auto", description="Generation device", json_schema_extra=Categories.Device)
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@ -934,7 +934,8 @@ class ModelManager(object):
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"""
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Returns the preamble for the config file.
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"""
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return textwrap.dedent("""
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return textwrap.dedent(
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"""
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# This file describes the alternative machine learning models
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# available to InvokeAI script.
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#
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@ -942,7 +943,8 @@ class ModelManager(object):
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# model requires a model config file, a weights file,
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# and the width and height of the images it
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# was trained on.
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""")
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"""
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)
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def scan_models_directory(
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self,
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