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Duration 14 hours
Course Outline
Hunyuan Multimodal Foundations and Lab Setup
- Understanding Hunyuan's multimodal capabilities for image, 3D, and video use cases
- Identifying practical business scenarios for creative, product, and content teams
- Preparing the lab environment, sample assets, and model access
- Executing initial generation tasks and reviewing outputs
Prompt Design and Workflow Patterns
- Structuring prompts to achieve consistent multimodal results
- Working with text prompts, reference images, and basic input settings
- Selecting appropriate workflows for image, video, or 3D generation
- Iterating on prompts based on output quality and business objectives
Image Generation and Review Labs
- Creating marketing, product, and concept images from prompts
- Refining visual style, composition, and content consistency
- Evaluating outputs for usefulness, quality, and brand alignment
- Organizing image outputs for approval and downstream use
Video Generation Labs
- Producing short video outputs from prompts and prepared inputs
- Controlling style, scene intent, and output variation
- Evaluating videos for clarity, continuity, and practical applicability
- Preparing video outputs for demonstration or content workflows
3D Asset Creation Labs
- Generating basic 3D assets from text or image inputs
- Evaluating geometry, texture quality, and asset usability
- Exporting assets for visualization, prototyping, or content pipelines
- Assessing when 3D generation is more suitable than image or video workflows
Integration, Governance, and Next Steps
- Delivering generated assets through simple applications, services, or APIs
- Connecting multimodal outputs to product, content, and review workflows
- Applying practical checks for quality, brand safety, copyright compliance, and responsible use
- Planning pilot use cases and subsequent steps for internal adoption
Requirements
- Fundamental understanding of AI and generative AI concepts
- Experience with web applications, APIs, or common developer tools
- Basic proficiency in Python or scripting
Audience
- Developers creating AI-enabled product features
- Technical product managers and solution architects
- Innovation, media, and digital teams working with image, video, or 3D content