Diffuseum Podcast

Gen-Z AI researcher Allen's coursework LCM accelerated Stable Diffusion inference by 10x, bringing AI image generation into real-time inference, which has garnered millions of downloads and applications in the open-source community.

In addition to sharing this young researcher's background and community stories, this episode also raises an open perspective: the 'real-time' nature of generation constitutes a qualitative change in AI interaction experience for C-end users, thus containing excellent product opportunities.

So, which forms of applications will be transformed? We look forward to brainstorming with listeners, and welcome any ideas.

Just upload a photo, and without waiting, my face instantly enters the multiverse. With the emergence of the open-source tool InstantID, AI portraits have reached new heights - a face can appear in real-time in any scene described by prompts, even LeCun couldn't resist sharing and interacting. Looking back at the past year, portraits have been one of the few successful productization directions in the AI field. No matter how technology evolves, it seems we still care about our faces first.

In addition to focusing on the story behind InstantID's young developers, this episode also raises questions: Is the product potential of AI portraits not yet fully tapped? What elements drive these algorithm teams to compete? We look forward to brainstorming with listeners and welcome any thoughts.