Flash-SDXL
High-throughput end-to-end web serving engine and inference optimization pipeline for SDXL models
Flash-SDXL is an end-to-end web application and high-performance inference engine optimized for serving the Stable Diffusion XL (SDXL) model with minimal latency and high concurrency.
Features & Architecture
- Serving Pipeline Optimization: Streamlined execution backend integrating FlashAttention kernels, FP16/BF16 mixed-precision inference, and TensorRT compilation for sub-second generation.
- Dynamic Request Scheduling: Asynchronous job queues and worker pools designed to prevent GPU VRAM starvation under concurrent user load.
- Full-Stack Application: Modern TypeScript web frontend paired with a modular Python API backend for prompt configuration, seed management, and real-time generation streaming.