Child Face Filter - Project Description:
The purpose of this filter is for users to capture or upload images of themselves, which the AI will then process to generate an image that depicts them as a child or a "mini" version of themselves.
Input: Porftraits photo of person, gender
Output: Child photo(s) of person (like mini me filter)
You will contribute on building a proof of concept for an AI solution for image generation using cutting edge Computer vision with open source solutions like Dreambooth and NLP technologies.
The ideal candidate will bring their expertise in the field of Stable Diffusion and Prompt engineering for developing high quality computer vision applications using open source solutions like Dreambooth. A previous Experience in a similar field is highly appreciated.
Your qualifications:
- At least 3 years of experience with Python
- Experience in Computer Vision and stable diffusion for instance Stable diffusion, DreamBooth, DreamStudio, HuggingFaces
- Excellent skills in prompt engineering
- Knowledge of Deep Learning frameworks such as Tensorflow and Pytorch
This job is already closed and no longer accepting applicants, sorry.
