mirror of
https://github.com/invoke-ai/InvokeAI
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75 lines
2.8 KiB
Python
75 lines
2.8 KiB
Python
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from typing import Literal
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from pydantic import BaseModel, Field
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from invokeai.app.invocations.baseinvocation import (
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BaseInvocation,
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BaseInvocationOutput,
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FieldDescriptions,
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InputField,
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InvocationContext,
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OutputField,
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UIType,
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invocation,
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invocation_output,
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)
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from invokeai.app.invocations.primitives import ImageField
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IP_ADAPTER_MODELS = Literal[
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"models/core/ip_adapters/sd-1/ip-adapter_sd15.bin",
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"models/core/ip_adapters/sd-1/ip-adapter-plus_sd15.bin",
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"models/core/ip_adapters/sd-1/ip-adapter-plus-face_sd15.bin",
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"models/core/ip_adapters/sdxl/ip-adapter_sdxl.bin",
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]
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IP_ADAPTER_IMAGE_ENCODER_MODELS = Literal[
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"models/core/ip_adapters/sd-1/image_encoder/", "models/core/ip_adapters/sdxl/image_encoder"
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]
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class IPAdapterField(BaseModel):
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image: ImageField = Field(description="The IP-Adapter image prompt.")
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# TODO(ryand): Create and use a custom `IpAdapterModelField`.
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ip_adapter_model: str = Field(description="The name of the IP-Adapter model.")
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# TODO(ryand): Create and use a `CLIPImageEncoderField` instead that is analogous to the `ClipField` used elsewhere.
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image_encoder_model: str = Field(description="The name of the CLIP image encoder model.")
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weight: float = Field(default=1.0, ge=0, description="The weight of the IP-Adapter.")
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@invocation_output("ip_adapter_output")
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class IPAdapterOutput(BaseInvocationOutput):
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# Outputs
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ip_adapter: IPAdapterField = OutputField(description=FieldDescriptions.ip_adapter)
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@invocation("ip_adapter", title="IP-Adapter", tags=["ip_adapter", "control"], category="ip_adapter", version="1.0.0")
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class IPAdapterInvocation(BaseInvocation):
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"""Collects IP-Adapter info to pass to other nodes."""
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# Inputs
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image: ImageField = InputField(description="The IP-Adapter image prompt.")
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ip_adapter_model: IP_ADAPTER_MODELS = InputField(
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default="models/core/ip_adapters/sd-1/ip-adapter_sd15.bin", description="The name of the IP-Adapter model."
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)
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image_encoder_model: IP_ADAPTER_IMAGE_ENCODER_MODELS = InputField(
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default="models/core/ip_adapters/sd-1/image_encoder/", description="The name of the CLIP image encoder model."
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)
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weight: float = InputField(default=1.0, description="The weight of the IP-Adapter.", ui_type=UIType.Float)
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def invoke(self, context: InvocationContext) -> IPAdapterOutput:
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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=(
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context.services.configuration.get_config().root_dir / self.ip_adapter_model
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).as_posix(),
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image_encoder_model=(
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context.services.configuration.get_config().root_dir / self.image_encoder_model
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).as_posix(),
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weight=self.weight,
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),
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)
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