Using image embeddings as input for new image generation, basically “embedding2image” / IP-Adapter?

Hi everyone,

I have a question before I start digging too deeply into this.

I have some images that I really like, but images that come out of the Stable Diffusion universe (photo, etc.). What I would like to do is use those images as the starting point for generating new ones, not in an img2img pixel-to-pixel way, but more as a semantic / stylistic input.

My rough idea was something like:

• take an image I like
• encode it into an embedding
• use that embedding as input conditioning for a new generation

So in my mind it is a bit like “embedding2image”.

From what I understand, this may be close to what IP-Adapter (Image Prompt Adapter) does. Is that the right direction, or am I misunderstanding the architecture?

Before I spend time developing around this, I would love feedback from people who already explored this kind of workflow.

A few questions in particular:

• Is IP-Adapter the right tool for this goal?
• Is it better to think of it as “image prompting” rather than “reusing an embedding as a prompt”?
• Are there better alternatives for this use case?
• Any practical advice, pitfalls, or implementation details I should know before going further?

My goal is really to generate new images in the same universe / vibe / semantic space as reference images I already like.

I’d be very interested in hearing both conceptual and practical advice. Thanks !