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Video generation with AI : working with diffusion transformers and multimodal learning / by Joseph Enochs.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Enochs, Joseph, author.
Language:
English
Subjects (All):
Artificial intelligence--Technological innovations.
Artificial intelligence.
Interactive multimedia.
Physical Description:
1 online resource (300 pages)
Edition:
[First edition].
Place of Publication:
Santa Rosa, CA : O'Reilly Media, Inc., [2026]
Summary:
Video generation is rapidly becoming a key area in generative AI--combining spatial, temporal, and multimodal reasoning to produce moving images that are both coherent and creative. For many practitioners, however, understanding how these models function and implementing them remains a significant challenge. Video Generation with AI offers a straightforward guide for exploring this new terrain. Author Joseph Enochs leverages his experience leading enterprise AI projects to clarify how diffusion transformers, multimodal large language models, and spatiotemporal architectures combine to create high-quality video. Blending technical detail with practical examples, he demonstrates how to transition from isolated experiments to production-ready systems that transform creative fields, media, and human-machine collaboration. Understand the fundamental architectures of modern video generative models Train and fine-tune models using diffusion transformers and multimodal encoders Maintain temporal coherence and consistency across complex scenes and sequences Apply generative video tools to creative, industrial, and scientific workflows Evaluate, troubleshoot, and improve generated video quality at scale.
Notes:
OCLC-licensed vendor bibliographic record.
OCLC:
1573517194

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