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https://github.com/invoke-ai/InvokeAI
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Remove dispatch_progress() function that was added aciidentally during conflict resolution.
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@ -51,7 +51,6 @@ from invokeai.app.invocations.primitives import (
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from invokeai.app.invocations.t2i_adapter import T2IAdapterField
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from invokeai.app.invocations.t2i_adapter import T2IAdapterField
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from invokeai.app.services.shared.invocation_context import InvocationContext
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from invokeai.app.services.shared.invocation_context import InvocationContext
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from invokeai.app.util.controlnet_utils import prepare_control_image
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from invokeai.app.util.controlnet_utils import prepare_control_image
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from invokeai.app.util.step_callback import stable_diffusion_step_callback
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from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
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from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
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from invokeai.backend.lora import LoRAModelRaw
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from invokeai.backend.lora import LoRAModelRaw
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from invokeai.backend.model_manager import BaseModelType, LoadedModel
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from invokeai.backend.model_manager import BaseModelType, LoadedModel
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@ -373,22 +372,6 @@ class DenoiseLatentsInvocation(BaseInvocation):
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raise ValueError("cfg_scale must be greater than 1")
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raise ValueError("cfg_scale must be greater than 1")
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return v
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return v
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# TODO: pass this an emitter method or something? or a session for dispatching?
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def dispatch_progress(
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self,
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context: InvocationContext,
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source_node_id: str,
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intermediate_state: PipelineIntermediateState,
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base_model: BaseModelType,
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) -> None:
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stable_diffusion_step_callback(
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context=context,
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intermediate_state=intermediate_state,
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node=self.model_dump(),
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source_node_id=source_node_id,
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base_model=base_model,
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)
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def _get_text_embeddings_and_masks(
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def _get_text_embeddings_and_masks(
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self,
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self,
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cond_field: Union[ConditioningField, list[ConditioningField]],
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cond_field: Union[ConditioningField, list[ConditioningField]],
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