📄 中文摘要
SDXL（Stable Diffusion XL）是2023年发布的图像生成模型，拥有66亿个参数，原生支持1024×1024分辨率，具备强大的生态系统，包括LoRAs、ControlNet、图像修复和针对各种风格的专用检查点，是目前最具可定制性的文本到图像模型。FLUX Schnell则是由黑森林实验室于2024年发布，采用流匹配架构而非扩散，拥有120亿个参数，采用4步生成方法，显著提升了对提示的响应能力。两者在生成文本图像方面有共同点，但在架构和功能上有显著差异，开发者在选择时需考虑各自的特点和应用场景。
📄 English Summary
FLUX Schnell vs SDXL: A Practical Comparison for Developers Who Need Reliable Image Generation
SDXL (Stable Diffusion XL), released in 2023, features 6.6 billion parameters and natively produces images at 1024×1024 resolution. It boasts a massive ecosystem with LoRAs, ControlNet, inpainting, and specialized checkpoints for various styles, making it the most customizable text-to-image model available. In contrast, FLUX Schnell, released in 2024 by Black Forest Labs (the original Stable Diffusion team), utilizes a flow matching architecture instead of diffusion, has 12 billion parameters, and employs a 4-step generation process that significantly enhances prompt responsiveness. While both models generate images from text, they differ greatly in architecture and functionality, requiring developers to consider their specific features and application scenarios when making a choice.