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https://github.com/invoke-ai/InvokeAI
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feat(nodes): add more missing exports to invocation_api
Crawled through a few custom nodes to figure out what I had missed.
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@ -7,9 +7,11 @@ TODO(psyche): Do we want to dogfood this?
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from invokeai.app.invocations.baseinvocation import (
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BaseInvocation,
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BaseInvocationOutput,
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Classification,
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invocation,
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invocation_output,
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)
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from invokeai.app.invocations.constants import SCHEDULER_NAME_VALUES
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from invokeai.app.invocations.fields import (
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BoardField,
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ColorField,
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@ -28,6 +30,8 @@ from invokeai.app.invocations.fields import (
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WithMetadata,
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WithWorkflow,
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)
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from invokeai.app.invocations.latent import SchedulerOutput
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from invokeai.app.invocations.metadata import MetadataItemField, MetadataItemOutput, MetadataOutput
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from invokeai.app.invocations.model import (
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ClipField,
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CLIPOutput,
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@ -68,6 +72,7 @@ from invokeai.app.services.config.config_default import InvokeAIAppConfig
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from invokeai.app.services.image_records.image_records_common import ImageCategory
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from invokeai.app.services.shared.invocation_context import InvocationContext
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from invokeai.app.services.workflow_records.workflow_records_common import WorkflowWithoutID
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from invokeai.app.util.misc import SEED_MAX, get_random_seed
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from invokeai.backend.model_management.model_manager import LoadedModelInfo
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from invokeai.backend.model_management.models.base import BaseModelType, ModelType, SubModelType
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from invokeai.backend.stable_diffusion.diffusers_pipeline import PipelineIntermediateState
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@ -77,11 +82,14 @@ from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
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ExtraConditioningInfo,
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SDXLConditioningInfo,
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)
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from invokeai.backend.util.devices import CPU_DEVICE, CUDA_DEVICE, MPS_DEVICE, choose_precision, choose_torch_device
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from invokeai.version import __version__
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__all__ = [
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# invokeai.app.invocations.baseinvocation
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"BaseInvocation",
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"BaseInvocationOutput",
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"Classification",
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"invocation",
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"invocation_output",
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# invokeai.app.services.shared.invocation_context
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@ -103,6 +111,12 @@ __all__ = [
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"UIType",
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"WithMetadata",
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"WithWorkflow",
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# invokeai.app.invocations.latent
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"SchedulerOutput",
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# invokeai.app.invocations.metadata
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"MetadataItemField",
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"MetadataItemOutput",
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"MetadataOutput",
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# invokeai.app.invocations.model
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"ModelInfo",
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"LoraInfo",
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@ -157,4 +171,17 @@ __all__ = [
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"BaseModelType",
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"ModelType",
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"SubModelType",
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# invokeai.app.invocations.constants
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"SCHEDULER_NAME_VALUES",
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# invokeai.version
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"__version__",
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# invokeai.backend.util.devices
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"choose_precision",
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"choose_torch_device",
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"CPU_DEVICE",
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"CUDA_DEVICE",
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"MPS_DEVICE",
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# invokeai.app.util.misc
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"SEED_MAX",
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"get_random_seed",
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]
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