Hunyuan Multimodal Applications: Practical Labs for Image, 3D, and Video Training Course
Hunyuan Multimodal Applications is a practical course on building enterprise-ready workflows for image, 3D, and video generation.
This instructor-led, live training (online or onsite) is aimed at intermediate-level developers, technical product teams, and AI practitioners who wish to use Hunyuan models to create prompt-to-asset workflows, review multimodal outputs, and integrate them into business applications.
By the end of this training, participants will be able to:
- Explain the core capabilities and common use cases of Hunyuan for image, 3D, and video workflows.
- Build practical generation pipelines from prompt design to output review.
- Deliver multimodal outputs through simple applications or APIs.
- Integrate Hunyuan outputs into product, content, and review workflows.
Format of the Course
- Interactive lecture and discussion.
- Guided exercises and hands-on practice.
- Hands-on implementation in a live lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Hunyuan Multimodal Foundations and Lab Setup
- Understanding Hunyuan 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
- Running first generation tasks and reviewing outputs
Prompt Design and Workflow Patterns
- Structuring prompts for consistent multimodal results
- Working with text prompts, reference images, and basic input settings
- Choosing suitable workflows for image, video, or 3D generation
- Iterating prompts based on output quality and business intent
Image Generation and Review Labs
- Creating marketing, product, and concept images from prompts
- Refining visual style, composition, and content consistency
- Reviewing outputs for usefulness, quality, and brand fit
- Organizing image outputs for approval and downstream use
Video Generation Labs
- Creating short video outputs from prompts and prepared inputs
- Controlling style, scene intent, and output variation
- Reviewing videos for clarity, continuity, and practical use
- Preparing video outputs for demonstration or content workflows
3D Asset Creation Labs
- Generating basic 3D assets from text or image inputs
- Checking geometry, texture quality, and asset usability
- Exporting assets for visualization, prototyping, or content pipelines
- Comparing when 3D generation is appropriate versus image or video workflows
Integration, Governance, and Next Steps
- Delivering generated assets through simple apps, services, or APIs
- Connecting multimodal outputs to product, content, and review workflows
- Applying practical checks for quality, brand safety, copyright, and responsible use
- Planning pilot use cases and next steps for internal adoption
Requirements
- Basic understanding of AI and generative AI concepts
- Experience using web applications, APIs, or common developer tools
- Basic Python or scripting experience
Audience
- Developers building AI-enabled product features
- Technical product managers and solution architects
- Innovation, media, and digital teams working with image, video, or 3D content
Open Training Courses require 5+ participants.
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