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install missing clip_vision encoders if required by an ip adapter (#5982)
Co-authored-by: Lincoln Stein <lstein@gmail.com>
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@ -15,7 +15,7 @@ from invokeai.app.invocations.model import ModelIdentifierField
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from invokeai.app.invocations.primitives import ImageField
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from invokeai.app.invocations.util import validate_begin_end_step, validate_weights
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from invokeai.app.services.shared.invocation_context import InvocationContext
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from invokeai.backend.model_manager.config import BaseModelType, IPAdapterConfig, ModelType
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from invokeai.backend.model_manager.config import AnyModelConfig, BaseModelType, IPAdapterConfig, ModelType
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class IPAdapterField(BaseModel):
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@ -89,17 +89,32 @@ class IPAdapterInvocation(BaseInvocation):
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assert isinstance(ip_adapter_info, IPAdapterConfig)
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image_encoder_model_id = ip_adapter_info.image_encoder_model_id
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image_encoder_model_name = image_encoder_model_id.split("/")[-1].strip()
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image_encoder_models = context.models.search_by_attrs(
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name=image_encoder_model_name, base=BaseModelType.Any, type=ModelType.CLIPVision
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)
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assert len(image_encoder_models) == 1
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image_encoder_model = self._get_image_encoder(context, image_encoder_model_name)
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return IPAdapterOutput(
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ip_adapter=IPAdapterField(
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image=self.image,
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ip_adapter_model=self.ip_adapter_model,
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image_encoder_model=ModelIdentifierField.from_config(image_encoder_models[0]),
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image_encoder_model=ModelIdentifierField.from_config(image_encoder_model),
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weight=self.weight,
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begin_step_percent=self.begin_step_percent,
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end_step_percent=self.end_step_percent,
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),
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)
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def _get_image_encoder(self, context: InvocationContext, image_encoder_model_name: str) -> AnyModelConfig:
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found = False
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while not found:
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image_encoder_models = context.models.search_by_attrs(
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name=image_encoder_model_name, base=BaseModelType.Any, type=ModelType.CLIPVision
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)
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found = len(image_encoder_models) > 0
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if not found:
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context.logger.warning(
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f"The image encoder required by this IP Adapter ({image_encoder_model_name}) is not installed."
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)
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context.logger.warning("Downloading and installing now. This may take a while.")
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installer = context._services.model_manager.install
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job = installer.heuristic_import(f"InvokeAI/{image_encoder_model_name}")
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installer.wait_for_job(job, timeout=600) # wait up to 10 minutes - then raise a TimeoutException
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assert len(image_encoder_models) == 1
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return image_encoder_models[0]
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