General Partner Anjney Midha explores the cutting-edge world of text-to-video AI with AI researchers Andreas Blattmann and Robin Rombach.

Released in November, Stable Video Diffusion is their latest open-source generative video model, overcoming challenges in size and dynamic representation.

In this episode Robin, and Andreas share why translating text to video is complex, the key role of datasets, current applications, and the future of video editing.

Topics Covered:
00:00 - Text to Video: The Next Leap in AI Generation
02:41 - The Stable Diffusion backstory
04:35 - Diffusion vs autoregressive models
07:17 - The benefits of single step sampling
10:55 - Why generative video?
13:10 - Understanding physics through AI video
14:53 - The challenge of creating generative video
18:43 - Data set selection and training
21:24 - Structural consistency and 3D objects
23:51 - Incorporating LoRAs
28:47 - How should creators think about these tools?
31:41 - Open challenges in video generation
32:35 - Infrastructure challenges and future research

Resources:
Find Robin on Twitter:   / robrombach  
Find Andreas on Twitter:   / andi_blatt  
Find Anjney on Twitter:   / anjneymidha  
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