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Wan 2.2 Masterclass: Cinematic AI Video Generation with Mixture-of-Experts (MoE) and ComfyUI

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Course offered by Dheeraj Kushwaha

225 reviews

Here's a concise summary of the "Wan 2.2 Masterclass: Cinematic AI Video Generation with MoE and ComfyUI" course, perfect for a Udemy course description:


Course Summary: Wan 2.2 Masterclass: Cinematic AI Video Generation with MoE and ComfyUI

Unlock the future of video creation with the Wan 2.2 Masterclass, your definitive guide to mastering Alibaba's revolutionary generative AI model. This course is meticulously designed for AI artists, video producers, content creators, and tech enthusiasts eager to harness the power of advanced AI for cinematic video production.

Dive deep into the groundbreaking Mixture-of-Experts (MoE) architecture, understanding how its "Two-Expert" system (High-Noise for structure, Low-Noise for detail) produces unparalleled visual quality and temporal consistency. You'll gain hands-on expertise with ComfyUI, learning to navigate its node-based workflow for seamless integration of Wan 2.2.

What you'll master:

  • Architectural Foundations: Deconstruct the Wan 2.2 MoE system, comprehend its model variants (T2V-A14B, I2V-A14B, TI2V-5B), and set up your optimal ComfyUI environment.

  • Text-to-Video (T2V) Excellence: Learn advanced prompt engineering using the "Four-Part Formula" and sophisticated CFG/denoising techniques to generate incredibly smooth and coherent motion.

  • Cinematic Control: Become a virtual director by integrating film-industry keywords for lighting, composition, camera movements (pan, dolly, crane), and achieving Hollywood-grade aesthetics in your AI-generated scenes.

  • Image-to-Video (I2V) & Hybrid Workflows: Transform static images into dynamic videos while preserving visual fidelity, and optimize your workflow with the efficient TI2V-5B hybrid model for consumer hardware.

  • Advanced Customization: Explore the power of LoRAs to inject custom styles and characters, and delve into specialized models like Wan 2.2-Animate for character-driven motion transfer and Wan 2.2-S2V for audio-driven video.

  • Professional Integration: Discover how to deploy Wan 2.2 at scale using its REST API with Python, implement robust queue management, and apply professional post-processing techniques for upscaling and interpolation.

By the end of this masterclass, you won't just understand Wan 2.2; you'll be creating stunning, high-quality, and highly controllable AI-generated videos, ready to revolutionize your creative projects or integrate into professional pipelines. Join us and become a pioneer in the next era of cinematic AI!

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About the Trainer

Dheeraj Kushwaha picture

4.6 Avg Rating

225 Reviews

672 Students

56 Courses

Dheeraj Kushwaha

IT Corpotate Trainer

6 Years of Experience

WORK EXPERIENCE:

Mobilous Inc. ,Gurgaon- (2011- present) as Software Engineer(Adobe Flash/Flex)

The Mobilous redefines the meaning of a "native" mobile app, widgets that automatically leverage native capabilities on different mobile devices.

? Develop Framework of mobile Applications with Adobe Flex
? Create strategy for online promotions with Adobe Photoshop , Illustrator
? Website Development and maintenance with Adobe Dreamweaver


Koenig Solutions pvt ltd,New Delhi- (2010- 2011) as Adobe/Autodesk Consultant

Koenig is an innovative IT training company. Apart from being the pioneer in offshore Training.

? Deliver trainings on Adobe Products(Photoshop, Flash, Dreamweaver , After Effects)
? Deliver trainings on Autodesk product(Maya , 3DS Max, AutoCAD(2D/3D),AutoCAD(Civil))
? Web Development with Adobe Dreamweaver


Bharat Software Technologies,New Delhi- (2009- 2010) as Animation/multimedia Consultant

Bharat Software Technologies" (BST) is based in New Delhi, offers training and placement program
in the areas of Software engineering and application , Network administration and management

? Deliver trainings on Adobe Products(Photoshop, Flash, Dreamweaver , After Effects)
? Creative works on with Adobe Photoshop
? 3D/2D Animation Projects Adobe After Effect

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