facechain

FaceChain is a tool for generating portrait photos of a specific person while keeping their face intact. You give it a single photo, and within about 10 seconds it produces new portraits of that person in whatever style you choose: different backgrounds, outfits, artistic looks, or more. The underlying idea is that the AI learns your face identity from one image and then applies that identity to new images without requiring any lengthy training process.

The project comes from ModelScope, Alibaba's AI research platform, and builds on top of the same image generation technology used by tools like Stable Diffusion. You can run FaceChain through a web browser interface (Gradio), through Python scripts, or as a plugin inside the popular Stable Diffusion web UI. A hosted demo is also available on HuggingFace Spaces if you want to try it without installing anything.

FaceChain supports two main ways to generate images: text-to-image (describe what you want in words and the tool places your face into that scene) and inpainting (fill in or replace parts of an existing image). It also works with ControlNet and LoRA add-ons, which are popular extensions that let you control poses, lighting, and art styles. Users can train new style models and add them as plug-and-play options.

On the technical side, running the full pipeline requires a NVIDIA GPU with at least 24 GB of memory (an A10 card is listed as tested), along with Python 3.8 or 3.10, PyTorch, and CUDA. The README walks through installation on Ubuntu and CentOS, and there is a Colab notebook for cloud-based experimentation. Memory usage can exceed 30 GB without the recommended optimization steps, so the setup is aimed at people with access to capable hardware or cloud GPU resources.

The project has received several open-source awards and had related research accepted at academic conferences including CVPR 2024 and NeurIPS 2024. A to-do list mentions plans for full-body digital human generation as a future direction.