IP Adapter Face ID
Upload face photos, enter a text prompt, and generate images of yourself in different styles and scenarios
| What is it | Upload face photos, enter a text prompt, and generate images of yourself in different styles and scenarios |
|---|---|
| Pricing | Unknown |
| Platform | Web Application |
| Best for | Generating consistent character images for stories, Creating personalized avatars in different styles |
| Domain registered | 2024 |
Data updated Aug. 1, 2026
What does IP Adapter Face ID do?
IP Adapter Face ID is a face-cloning image generation tool. You upload a few photos of a person, type a text prompt like "a woman wearing a baseball cap and engaging in sports," and it creates new images that keep the same face but put it in the scene you described. The output is a set of images that look like that person in different outfits, locations, or activities.
The tool works with the IP-Adapter-FaceID model, which is an extension of the IP-Adapter framework. It conditions the image generation on a face identity extracted from your uploads. You can use it directly on the web page (it loads a Hugging Face Space) or integrate it into your own workflow via Stable Diffusion 1.5, SDXL, or ComfyUI. The IP-Adapter-FaceID-PLUS variant offers even better identity preservation. The interface is simple: upload photos, write a prompt, and hit generate. No complicated settings required.
AI artists, content creators, and anyone experimenting with Stable Diffusion will find this useful. Common use cases include generating consistent character art for stories, creating personalized avatars in different art styles, or just playing around with face-conditioned image generation. It's a straightforward tool that does one thing well: keep a face consistent across many generated scenes.
Key features
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