mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
55 lines
2.3 KiB
Python
55 lines
2.3 KiB
Python
from ..invocations.latent import LatentsToImageInvocation, NoiseInvocation, TextToLatentsInvocation
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from ..invocations.params import ParamIntInvocation
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from .graph import Edge, EdgeConnection, ExposedNodeInput, ExposedNodeOutput, Graph, LibraryGraph
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from .item_storage import ItemStorageABC
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default_text_to_image_graph_id = '539b2af5-2b4d-4d8c-8071-e54a3255fc74'
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def create_text_to_image() -> LibraryGraph:
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return LibraryGraph(
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id=default_text_to_image_graph_id,
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name='t2i',
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description='Converts text to an image',
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graph=Graph(
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nodes={
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'width': ParamIntInvocation(id='width', a=512),
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'height': ParamIntInvocation(id='height', a=512),
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'3': NoiseInvocation(id='3'),
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'4': TextToLatentsInvocation(id='4'),
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'5': LatentsToImageInvocation(id='5')
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},
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edges=[
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Edge(source=EdgeConnection(node_id='width', field='a'), destination=EdgeConnection(node_id='3', field='width')),
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Edge(source=EdgeConnection(node_id='height', field='a'), destination=EdgeConnection(node_id='3', field='height')),
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Edge(source=EdgeConnection(node_id='3', field='noise'), destination=EdgeConnection(node_id='4', field='noise')),
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Edge(source=EdgeConnection(node_id='4', field='latents'), destination=EdgeConnection(node_id='5', field='latents')),
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]
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),
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exposed_inputs=[
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ExposedNodeInput(node_path='4', field='prompt', alias='prompt'),
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ExposedNodeInput(node_path='width', field='a', alias='width'),
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ExposedNodeInput(node_path='height', field='a', alias='height')
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],
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exposed_outputs=[
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ExposedNodeOutput(node_path='5', field='image', alias='image')
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])
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def create_system_graphs(graph_library: ItemStorageABC[LibraryGraph]) -> list[LibraryGraph]:
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"""Creates the default system graphs, or adds new versions if the old ones don't match"""
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graphs: list[LibraryGraph] = list()
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text_to_image = graph_library.get(default_text_to_image_graph_id)
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# TODO: Check if the graph is the same as the default one, and if not, update it
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#if text_to_image is None:
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text_to_image = create_text_to_image()
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graph_library.set(text_to_image)
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graphs.append(text_to_image)
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return graphs
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