根据基于 Diffusion 扩散模型的 AI 绘画方案发展脉络,对近期看的一些文章做个总结记录: DDPM:Denoising Diffusion Probabilistic Models DDIM:Denoising Diffusion Implicit Models OpenAI, Classifier Guidance:Diffusion Models Beats GANs on Image Synthesis LDM, Classifier-Free Guidance:High-Resolution Image Synthesis with Latent Diffusion Models Scalable Diffusion Models with Transformers SDXL:Improving Latent Diffusion Models for High-Resolution Image Synthesis SDXL-Turbo:Adversarial Diffusion Distillation