Video Generation Control
The discussion highlights the flexibility of the Gen One model, allowing users to adjust the balance between photorealism and temporal stability in video outputs. Limitations on video length are currently tied to infrastructure constraints, but advancements for longer video generation are on the horizon. Interestingly, users have found ways to create extended videos by splicing together shorter clips while maintaining temporal consistency.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - 622
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