IP-Adapter
Definition
IP-Adapter supplements a text-to-image model with an image prompt.
IP-Adapter is a trained add-on for text-to-image diffusion models. It processes an image prompt separately from the text prompt and combines both during generation.
Simply explained
You provide the image model with a description plus a reference image to guide the design.
Why it matters in practice
In a test, reference material, desired properties, and rights to the used material should be clarified in advance.
Example from business
Possible example: A design team tests an approved reference image together with a new scene description.
Limits and pitfalls
- The image prompt does not replace the underlying diffusion model. Results should be separately compared with the desired properties of the reference image.
Origin & history
The 2023 work introduces separate attention processing for image and text features with frozen base model parameters.
Use in mid-sized companies
- Possible application areas are internal design workshops and the development of editorial image ideas with own approved reference material.
Frequently asked questions
Can text also be used additionally?
Yes, the work describes the combination of image and text prompts.
Is the entire base model retrained?
In the described approach, its parameters remain frozen.
Sources
- IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models · Ye et al. (2023): IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Editorially reviewed on: