(fix) docs formatting

Author: Millu

docs/features/LORAS.md

@@ -38,9 +38,11 @@ LCM-LoRAs are models that provide the benefit of LCMs but are able to be used as
 
 
 **Using LCM-LoRAs**
+
 LCM-LoRAs are natively supported in InvokeAI throughout the application. To get started, install any diffusers format LCM-LoRAs using the model manager and select it in the LoRA field.
 
 There are a number parameter differences when using LCM-LoRAs and standard generation: 
+
 - When using LCM-LoRAs, the LoRA strength should be lower than if using a standard LoRA, with 0.35 recommended as a starting point.  
 - The LCM scheduler should be used for generation
 - CFG-Scale should be reduced to ~1

docs/features/index.md

@@ -20,7 +20,7 @@ a single convenient digital artist-optimized user interface.
 ### * [Prompt Engineering](PROMPTS.md)
 Get the images you want with the InvokeAI  prompt engineering language.
 
-### * The [LoRA, LyCORIS and Textual Inversion Models](CONCEPTS.md)
+### * The [LoRA, LyCORIS, LCM-LoRA Models](CONCEPTS.md)
 Add custom subjects and styles using a variety of fine-tuned models.
 
 ### * [ControlNet](CONTROLNET.md)
@@ -40,7 +40,7 @@ guide also covers optimizing models to load quickly.
 Teach an old model new tricks. Merge 2-3 models together to create a
 new model that combines characteristics of the originals.
 
-### * [Textual Inversion](TRAINING.md)
+### * [Textual Inversion](TEXTUAL_INVERSIONS.md)
 Personalize models by adding your own style or subjects.
 
 ## Other Features

mkdocs.yml

@@ -139,7 +139,6 @@ nav:
     - Features:
       - Overview: 'features/index.md'
       - New to InvokeAI?: 'help/gettingStartedWithAI.md'
-      - Concepts: 'features/CONCEPTS.md'
       - Configuration: 'features/CONFIGURATION.md'
       - Control Adapters: 'features/CONTROLNET.md'
       - Image-to-Image: 'features/IMG2IMG.md'