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fix(mm): add ui_type to model fields

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Recently the schema for models was changed to a generic `ModelField`, and the UI was unable to derive the type of those fields. This didn't affect functionality, but it did break the styling of handles.

Add `ui_type` to the affected fields and update the UI to use the correct capitalizations.
This commit is contained in:
psychedelicious
2024-03-08 21:37:00 +11:00
committed by Mary Hipp Rogers
parent fe2c6f621a
commit ddde355b09
6 changed files with 25 additions and 16 deletions
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9
invokeai/app/invocations/model.py
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@ -3,7 +3,7 @@ from typing import List, Optional
from pydantic import BaseModel, Field
from invokeai.app.invocations.fields import FieldDescriptions, Input, InputField, OutputField
from invokeai.app.invocations.fields import FieldDescriptions, Input, InputField, OutputField, UIType
from invokeai.app.services.shared.invocation_context import InvocationContext
from invokeai.app.shared.models import FreeUConfig
from invokeai.backend.model_manager.config import SubModelType
@ -84,7 +84,7 @@ class ModelLoaderOutput(UNetOutput, CLIPOutput, VAEOutput):
class MainModelLoaderInvocation(BaseInvocation):
"""Loads a main model, outputting its submodels."""
model: ModelField = InputField(description=FieldDescriptions.main_model, input=Input.Direct)
model: ModelField = InputField(description=FieldDescriptions.main_model, input=Input.Direct, ui_type=UIType.MainModel)
# TODO: precision?
def invoke(self, context: InvocationContext) -> ModelLoaderOutput:
@ -117,7 +117,7 @@ class LoRALoaderOutput(BaseInvocationOutput):
class LoRALoaderInvocation(BaseInvocation):
"""Apply selected lora to unet and text_encoder."""
lora: ModelField = InputField(description=FieldDescriptions.lora_model, input=Input.Direct, title="LoRA")
lora: ModelField = InputField(description=FieldDescriptions.lora_model, input=Input.Direct, title="LoRA", ui_type=UIType.LoRAModel)
weight: float = InputField(default=0.75, description=FieldDescriptions.lora_weight)
unet: Optional[UNetField] = InputField(
default=None,
@ -186,7 +186,7 @@ class SDXLLoRALoaderOutput(BaseInvocationOutput):
class SDXLLoRALoaderInvocation(BaseInvocation):
"""Apply selected lora to unet and text_encoder."""
lora: ModelField = InputField(description=FieldDescriptions.lora_model, input=Input.Direct, title="LoRA")
lora: ModelField = InputField(description=FieldDescriptions.lora_model, input=Input.Direct, title="LoRA", ui_type=UIType.LoRAModel)
weight: float = InputField(default=0.75, description=FieldDescriptions.lora_weight)
unet: Optional[UNetField] = InputField(
default=None,
@ -262,6 +262,7 @@ class VAELoaderInvocation(BaseInvocation):
description=FieldDescriptions.vae_model,
input=Input.Direct,
title="VAE",
ui_type=UIType.VAEModel
)
def invoke(self, context: InvocationContext) -> VAEOutput: