Hunyuan Multimodal Applications: Practical Labs for Image, 3D, and Video Training Course
Hunyuan Multimodal Applications offers a hands-on course designed to help you build enterprise-grade workflows for generating images, 3D models, and videos.
This instructor-led live training is available both online and onsite. It targets intermediate developers, technical product teams, and AI specialists looking to leverage Hunyuan models to create prompt-to-asset pipelines, evaluate multimodal outputs, and seamlessly integrate them into business solutions.
Upon completing this training, participants will be capable of:
- Articulating the core functionalities and typical use cases of Hunyuan for image, 3D, and video generation.
- Constructing practical generation pipelines that span from prompt engineering to output evaluation.
- Distributing multimodal results via straightforward applications or API endpoints.
- Incorporating Hunyuan-generated content into product development, content creation, and review processes.
Course Format
- Interactive lectures and discussions.
- Guided exercises combined with practical application.
- Live implementation within a dedicated lab environment.
Customization Options
- For tailored training requests, please reach out to us to arrange specifics.
Course Outline
Hunyuan Multimodal Foundations and Lab Setup
- Exploring Hunyuan's multimodal capabilities for image, 3D, and video applications
- Identifying relevant business scenarios for creative, product, and content teams
- Setting up the lab environment, sample assets, and model access
- Executing initial generation tasks and evaluating results
Prompt Design and Workflow Patterns
- Formulating prompts to achieve consistent multimodal outcomes
- 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
- Producing marketing, product, and concept images from textual inputs
- Adjusting visual style, composition, and content consistency
- Evaluating outputs for utility, quality, and brand alignment
- Structuring image outputs for approval and subsequent use
Video Generation Labs
- Generating short video clips from prompts and prepared inputs
- Managing style, scene intent, and output variations
- Assessing videos for clarity, continuity, and practical applicability
- Preparing video outputs for demonstrations or content pipelines
3D Asset Creation Labs
- Creating fundamental 3D assets using text or image inputs
- Evaluating geometry, texture quality, and asset viability
- Exporting assets for visualization, prototyping, or content workflows
- Determining when 3D generation is preferable over image or video alternatives
Integration, Governance, and Next Steps
- Distributing generated assets via simple applications, services, or APIs
- Linking multimodal outputs to 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 knowledge of AI and generative AI principles
- Proficiency with web applications, APIs, or standard developer tools
- Basic experience with Python or scripting languages
Target Audience
- Developers creating AI-driven product features
- Technical product managers and solution architects
- Innovation, media, and digital teams managing image, video, or 3D content
Open Training Courses require 5+ participants.
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