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@ -139,7 +139,7 @@ Additionally, each ControlNet section can be expanded in order to manipulate set
[IP-Adapter](https://ip-adapter.github.io) is a tooling that allows for image prompt capabilities with text-to-image diffusion models. IP-Adapter works by analyzing the given image prompt to extract features, then passing those features to the UNet along with any other conditioning provided.
![IP-Adapter + T2I](https://github.com/tencent-ailab/IP-Adapter/raw/main/assets/demo/ip_adpter_plus_multi.jpg)
![IP-Adapter + T2I](https://github.com/tencent-ailab/IP-Adapter/blob/main/assets/demo/image-to-image.jpg)
![IP-Adapter + IMG2IMG](https://github.com/tencent-ailab/IP-Adapter/blob/main/assets/demo/image-to-image.jpg)
#### Installation
There are several ways to install IP-Adapter models with an existing InvokeAI installation:
@ -158,4 +158,4 @@ IP-Adapter requires an image to be used as the Image Prompt. It can also be used
Each IP-Adapter has two settings that are applied to the IP-Adapter:
* Weight - Strength of the IP-Adapter model applied to the generation for the section, defined by start/end
* Start/End - 0 represents the start of the generation, 1 represents the end. The Start/end setting controls what steps during the generation process have the IP-Adapter applied.
* Start/End - 0 represents the start of the generation, 1 represents the end. The Start/end setting controls what steps during the generation process have the IP-Adapter applied.