lucataco / ip-adapter-faceid

(Research only) IP-Adapter-FaceID can generate various style images conditioned on a face with only text prompts

  • Public
  • 30.4K runs
  • GitHub
  • Paper
Iterate in playground
Run with an API
Playground API Examples README Versions

Examples

View more

Run time and cost

This model costs approximately $0.011 to run on Replicate, or 90 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 12 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Implementation of h94/IP-Adapter-FaceID

Introduction

An experimental version of IP-Adapter-FaceID: we use face ID embedding from a face recognition model instead of CLIP image embedding, additionally, we use LoRA to improve ID consistency. IP-Adapter-FaceID can generate various style images conditioned on a face with only text prompts.

example

Limitations and Bias

  • The model does not achieve perfect photorealism and ID consistency.
  • The generalization of the model is limited due to limitations of the training data, base model and face recognition model.
  • Non-commercial use

This model is released exclusively for research purposes and is not intended for commercial use.