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https://github.com/invoke-ai/InvokeAI
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Rename ConditioningData -> TextConditioningData.
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@ -23,7 +23,10 @@ from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
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from invokeai.app.services.config.config_default import get_config
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from invokeai.backend.ip_adapter.ip_adapter import IPAdapter
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from invokeai.backend.ip_adapter.unet_patcher import UNetPatcher
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from invokeai.backend.stable_diffusion.diffusion.conditioning_data import ConditioningData, IPAdapterConditioningInfo
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from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
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IPAdapterConditioningInfo,
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TextConditioningData,
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)
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from invokeai.backend.stable_diffusion.diffusion.shared_invokeai_diffusion import InvokeAIDiffuserComponent
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from invokeai.backend.util.attention import auto_detect_slice_size
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from invokeai.backend.util.devices import normalize_device
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@ -297,7 +300,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
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latents: torch.Tensor,
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num_inference_steps: int,
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scheduler_step_kwargs: dict[str, Any],
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conditioning_data: ConditioningData,
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conditioning_data: TextConditioningData,
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*,
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noise: Optional[torch.Tensor],
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timesteps: torch.Tensor,
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@ -380,7 +383,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
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self,
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latents: torch.Tensor,
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timesteps,
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conditioning_data: ConditioningData,
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conditioning_data: TextConditioningData,
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scheduler_step_kwargs: dict[str, Any],
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*,
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additional_guidance: List[Callable] = None,
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@ -465,7 +468,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
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self,
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t: torch.Tensor,
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latents: torch.Tensor,
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conditioning_data: ConditioningData,
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conditioning_data: TextConditioningData,
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step_index: int,
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total_step_count: int,
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scheduler_step_kwargs: dict[str, Any],
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