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https://github.com/invoke-ai/InvokeAI
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Rename t5Encoder -> t5_encoder.
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@ -126,7 +126,7 @@ class FieldDescriptions:
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negative_cond = "Negative conditioning tensor"
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noise = "Noise tensor"
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clip = "CLIP (tokenizer, text encoder, LoRAs) and skipped layer count"
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t5Encoder = "T5 tokenizer and text encoder"
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t5_encoder = "T5 tokenizer and text encoder"
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unet = "UNet (scheduler, LoRAs)"
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transformer = "Transformer"
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vae = "VAE"
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@ -21,6 +21,7 @@ from invokeai.backend.stable_diffusion.diffusion.conditioning_data import Condit
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)
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class FluxTextEncoderInvocation(BaseInvocation):
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"""Encodes and preps a prompt for a flux image."""
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clip: CLIPField = InputField(
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title="CLIP",
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description=FieldDescriptions.clip,
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@ -28,7 +29,7 @@ class FluxTextEncoderInvocation(BaseInvocation):
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)
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t5_encoder: T5EncoderField = InputField(
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title="T5Encoder",
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description=FieldDescriptions.t5Encoder,
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description=FieldDescriptions.t5_encoder,
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input=Input.Connection,
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)
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max_seq_len: Literal[256, 512] = InputField(description="Max sequence length for the desired flux model")
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@ -162,7 +162,7 @@ class FluxModelLoaderOutput(BaseInvocationOutput):
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transformer: TransformerField = OutputField(description=FieldDescriptions.transformer, title="Transformer")
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clip: CLIPField = OutputField(description=FieldDescriptions.clip, title="CLIP")
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t5_encoder: T5EncoderField = OutputField(description=FieldDescriptions.t5Encoder, title="T5 Encoder")
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t5_encoder: T5EncoderField = OutputField(description=FieldDescriptions.t5_encoder, title="T5 Encoder")
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vae: VAEField = OutputField(description=FieldDescriptions.vae, title="VAE")
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max_seq_len: Literal[256, 512] = OutputField(description=FieldDescriptions.vae, title="Max Seq Length")
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