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Release/3.4 (#5112)
## What type of PR is this? (check all applicable) 3.4 Release Updates ## Have you discussed this change with the InvokeAI team? - [X] Yes - [ ] No, because: ## Have you updated all relevant documentation? - [X] Yes - [ ] No ## Description ## Related Tickets & Documents ## [optional] Are there any post deployment tasks we need to perform?
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docs/features/LORAS.md

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**Using LCM-LoRAs**
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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.
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There are a number parameter differences when using LCM-LoRAs and standard generation:
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- When using LCM-LoRAs, the LoRA strength should be lower than if using a standard LoRA, with 0.35 recommended as a starting point.
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- The LCM scheduler should be used for generation
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- CFG-Scale should be reduced to ~1

docs/features/index.md

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

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