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Duration 14 hours
Course Outline
Hunyuan Multimodal Foundations and Lab Setup
- Exploring Hunyuan's multimodal capabilities for image, 3D, and video use cases
- Identifying practical business scenarios relevant to creative, product, and content teams
- Setting up the lab environment, sample assets, and model access
- Executing initial generation tasks and evaluating outputs
Prompt Design and Workflow Patterns
- Structuring prompts to achieve consistent multimodal results
- Utilizing text prompts, reference images, and basic input configurations
- Selecting appropriate workflows for image, video, or 3D generation
- Refining prompts based on output quality and business objectives
Image Generation and Review Labs
- Generating marketing, product, and conceptual images from prompts
- Refining visual style, composition, and content consistency
- Evaluating outputs for utility, quality, and brand alignment
- Organizing image outputs for approval and subsequent use
Video Generation Labs
- Producing short video outputs from prompts and prepared inputs
- Managing style, scene intent, and output variations
- Evaluating videos for clarity, continuity, and practical application
- Preparing video outputs for demonstration or content workflows
3D Asset Creation Labs
- Generating foundational 3D assets from text or image inputs
- Assessing geometry, texture quality, and asset viability
- Exporting assets for visualization, prototyping, or content pipelines
- Evaluating when to use 3D generation versus image or video workflows
Integration, Governance, and Next Steps
- Distributing generated assets through simple applications, services, or APIs
- Connecting multimodal outputs with product, content, and review workflows
- Implementing practical checks for quality, brand safety, copyright compliance, and responsible usage
- Planning pilot use cases and outlining next steps for internal adoption
Requirements
- Fundamental understanding of AI and generative AI principles
- Experience utilizing web applications, APIs, or standard developer tools
- Basic proficiency in Python or scripting
Audience
- Developers creating AI-powered product features
- Technical product managers and solution architects
- Innovation, media, and digital teams managing image, video, or 3D content