Comparing and Explaining Diffusion Models in HuggingFace Diffusers | by Mario Namtao Shianti Larcher | Aug, 2023

DDPM, Stable Diffusion, DALL·E-2, Imagen, Kandinsky 2, SDEdit, ControlNet, InstructPix2Pix, and more

Image generated with Diffusers. Continue reading to discover how and the theory behind.

Embracing the ever-growing interest in Generative AI, including image generation, many excellent resources are starting to become available, some of which I’ll highlight below. However, based on my experience, progressing beyond foundational courses demands significant effort, as resources on advanced topics become more scattered.

In this article, we will list the most popular diffusion models from the Hugging Face Diffusers library, which is the primary tool for utilizing this technology. We’ll provide brief explanations of these models, compare them, and outline their strengths and weaknesses.

The structure of this article is as follows: we will start by reviewing a few valuable resources for those who are just beginning to study diffusion models. Afterward, we’ll provide a brief explanation of the HuggingFace pipelines. Finally, we will delve deep into each pipeline listed in the Popular Tasks & Pipelines section of the Diffusers GitHub repository.

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