FaceChain-fact：Face Adapter for Human AIGC

🌟 Discover FaceChain-FACT: The ultimate Face Adapter for Human AIGC! 🤖✨ 🔹 Generate personalized portraits effortlessly with Deformable Neural Radiance Fields technology. 🔹 No more training user LoRA models - just one photo for stunning results! 📸💫 🔹 100x faster generation speed for second-level images. #AI #PortraitGeneration #FaceChainFACT 🎨🚀

FaceChain-FACT is an adaptation of FaceChain for personalized portrait generation.
It eliminates the need for training user LoRA models, unlike the original FaceChain.
A single user photo is sufficient for customized portrait generation.
FaceChain-FACT accelerates generation speed by 100 times, supporting second-level image generation.
It integrates a transformer-based face feature extractor resembling Stable Diffusion for better face information utilization.
Dense fine-grained features as face conditions allow for better character reproduction.
FaceChain-FACT is compatible with ControlNet and LoRA plugins, offering plug-and-play functionality.
Image preprocessing involves face segmentation, cropping, alignment, and hand detection for dataset preparation.
A transformer-based face feature extractor extracts features, utilizing dense fine-grained features as the face condition.
Stable Diffusion, with the FACT-Adapter, combines face conditions with text embeddings for portrait image generation.
Multiple LoRA models from FaceChain contribute to generating portraits in various styles.