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57 lines
2.2 KiB
Python
57 lines
2.2 KiB
Python
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.fields import FieldDescriptions, Input, InputField, OutputField
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from invokeai.app.invocations.model import (
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GlmEncoderField,
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ModelIdentifierField,
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TransformerField,
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VAEField,
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)
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from invokeai.app.services.shared.invocation_context import InvocationContext
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from invokeai.backend.model_manager.taxonomy import BaseModelType, ModelType, SubModelType
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@invocation_output("cogview4_model_loader_output")
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class CogView4ModelLoaderOutput(BaseInvocationOutput):
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"""CogView4 base model loader output."""
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transformer: TransformerField = OutputField(description=FieldDescriptions.transformer, title="Transformer")
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glm_encoder: GlmEncoderField = OutputField(description=FieldDescriptions.glm_encoder, title="GLM Encoder")
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vae: VAEField = OutputField(description=FieldDescriptions.vae, title="VAE")
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@invocation(
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"cogview4_model_loader",
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title="Main Model - CogView4",
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tags=["model", "cogview4"],
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category="model",
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version="1.0.0",
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classification=Classification.Prototype,
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)
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class CogView4ModelLoaderInvocation(BaseInvocation):
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"""Loads a CogView4 base model, outputting its submodels."""
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model: ModelIdentifierField = InputField(
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description=FieldDescriptions.cogview4_model,
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input=Input.Direct,
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ui_model_base=BaseModelType.CogView4,
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ui_model_type=ModelType.Main,
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)
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def invoke(self, context: InvocationContext) -> CogView4ModelLoaderOutput:
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transformer = self.model.model_copy(update={"submodel_type": SubModelType.Transformer})
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vae = self.model.model_copy(update={"submodel_type": SubModelType.VAE})
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glm_tokenizer = self.model.model_copy(update={"submodel_type": SubModelType.Tokenizer})
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glm_encoder = self.model.model_copy(update={"submodel_type": SubModelType.TextEncoder})
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return CogView4ModelLoaderOutput(
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transformer=TransformerField(transformer=transformer, loras=[]),
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glm_encoder=GlmEncoderField(tokenizer=glm_tokenizer, text_encoder=glm_encoder),
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vae=VAEField(vae=vae),
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)
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