HumanSD

HumanSD is a specialized skeleton-guided diffusion architecture designed to address the challenges of high-fidelity human image generation. Unlike standard Stable Diffusion models that often struggle with anatomical correctness and limb orientation, HumanSD utilizes a Native Skeleton-Guided (NSG) approach. It integrates skeleton information directly into the denoising process through a heat-map guided mechanism, ensuring that generated subjects adhere strictly to specified poses. This architecture eliminates common artifacts like 'extra limbs' or 'impossible joints' by employing a dual-stream encoder that processes both text embeddings and skeletal structures simultaneously. As of 2026, it serves as a foundational layer for enterprise-grade virtual try-on systems and digital twin generation. Its efficiency allows for rapid inference, making it suitable for real-time applications where pose-to-image latency is critical. The model is built on PyTorch and is highly extensible, allowing for fine-tuning on specific garment datasets or character styles while maintaining strict spatial-structural integrity.