Mirrored_Repos/InvokeAI
1
0
Fork 0
mirror of https://github.com/invoke-ai/InvokeAI synced 2024-08-30 20:32:17 +00:00
Code Issues Packages Projects Releases Wiki Activity

chore: ruff

Browse Source
This commit is contained in:
psychedelicious 2024-03-08 22:30:50 +11:00 committed by Mary Hipp Rogers
parent ddde355b09
commit effbd8a1ba
1 changed files with 10 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
invokeai/app/invocations/model.py
View File

@ -84,7 +84,9 @@ 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, ui_type=UIType.MainModel)
model: ModelField = InputField(
description=FieldDescriptions.main_model, input=Input.Direct, ui_type=UIType.MainModel
)
# TODO: precision?
def invoke(self, context: InvocationContext) -> ModelLoaderOutput:
@ -117,7 +119,9 @@ 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", ui_type=UIType.LoRAModel)
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 +190,9 @@ 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", ui_type=UIType.LoRAModel)
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,
@ -259,10 +265,7 @@ class VAELoaderInvocation(BaseInvocation):
"""Loads a VAE model, outputting a VaeLoaderOutput"""
vae_model: ModelField = InputField(
description=FieldDescriptions.vae_model,
input=Input.Direct,
title="VAE",
ui_type=UIType.VAEModel
description=FieldDescriptions.vae_model, input=Input.Direct, title="VAE", ui_type=UIType.VAEModel
)
def invoke(self, context: InvocationContext) -> VAEOutput: