Everyday AI Podcast – An AI and ChatGPT Podcast
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If you want better AI images and videos, sometimes you have to roll the dice and play the probability game. But you don't have to do it blindly. Tianyu Xu, Founder of TYAI, joins us to share secrets on how you can get better AI image and video results.
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Related Episodes:
Ep 198: Midjourney V6 – What’s new and producing powerful ad creatives
Ep 157: Future of AI Video – Pika Labs 1.0, Runway updates, Meta Emu, and more
Ep 181: New York Times vs. OpenAI – The huge AI implications no one is talking about
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Timestamps:
01:30 Daily AI news
04:15 About Tianyu and TYAI
09:44 Tianyu discusses starting simple with natural language.
14:24 Text-to-video models can generate short films.
18:23 Experiment with camera settings to optimize motion.
20:15 Using AI video generators to speed up processes.
24:43 Experiment results favor tilt up movement for video.
27:29 Creative rights ownership.
35:22 Emphasizing creativity and accessibility in utilizing technology.
Topic Covered in This Episode:
1. Unpredictability of generative AI visuals
2. Process of generating AI images and videos.
3. Organizing media outputs and importance of creative rights
4. Limitations and challenges in AI video and images
Keywords:
Generative AI, Image/Video Categories, Successful Images, Marketing Videos, AI Technology, Creativity in Businesses, Gradual Process, Pica Labs, Video Generation, Parameters, Video Quality, Consistency in Movement, Everyday AI, Open Source Language Model, Offensive AI results, Gemini AI, OpenAI, Copyright infringement, Market Research, Large Language Models, Text-to-Video Methodology, OpenAI Sora Model, Visual Projects, Prompts Reuse, Creative Rights, Embedding Text in Images, AI Limitations, CGI Animation, Long-Term Projects, Experimentation
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