Rename t5Encoder -> t5_encoder.

Author: RyanJDick

invokeai/app/invocations/fields.py

@@ -126,7 +126,7 @@ class FieldDescriptions:
     negative_cond = "Negative conditioning tensor"
     noise = "Noise tensor"
     clip = "CLIP (tokenizer, text encoder, LoRAs) and skipped layer count"
-    t5Encoder = "T5 tokenizer and text encoder"
+    t5_encoder = "T5 tokenizer and text encoder"
     unet = "UNet (scheduler, LoRAs)"
     transformer = "Transformer"
     vae = "VAE"

invokeai/app/invocations/flux_text_encoder.py

@@ -21,14 +21,15 @@
 )
 class FluxTextEncoderInvocation(BaseInvocation):
     """Encodes and preps a prompt for a flux image."""
+
     clip: CLIPField = InputField(
         title="CLIP",
         description=FieldDescriptions.clip,
         input=Input.Connection,
     )
     t5_encoder: T5EncoderField = InputField(
         title="T5Encoder",
-        description=FieldDescriptions.t5Encoder,
+        description=FieldDescriptions.t5_encoder,
         input=Input.Connection,
     )
     max_seq_len: Literal[256, 512] = InputField(description="Max sequence length for the desired flux model")

invokeai/app/invocations/model.py

@@ -162,7 +162,7 @@ class FluxModelLoaderOutput(BaseInvocationOutput):
 
     transformer: TransformerField = OutputField(description=FieldDescriptions.transformer, title="Transformer")
     clip: CLIPField = OutputField(description=FieldDescriptions.clip, title="CLIP")
-    t5_encoder: T5EncoderField = OutputField(description=FieldDescriptions.t5Encoder, title="T5 Encoder")
+    t5_encoder: T5EncoderField = OutputField(description=FieldDescriptions.t5_encoder, title="T5 Encoder")
     vae: VAEField = OutputField(description=FieldDescriptions.vae, title="VAE")
     max_seq_len: Literal[256, 512] = OutputField(description=FieldDescriptions.vae, title="Max Seq Length")