Hunyuan Multimodal Applications: Practical Labs for Image, 3D, and Video Training Course
The Hunyuan Multimodal Applications course offers practical training on constructing enterprise-grade workflows for generating images, 3D assets, and video content.
This instructor-led live session, available online or in-person, is designed for intermediate developers, technical product teams, and AI specialists looking to leverage Hunyuan models. Participants will learn to create prompt-to-asset pipelines, evaluate multimodal outputs, and seamlessly integrate these capabilities into business applications.
Upon completion of this training, participants will be equipped to:
- Articulate the core functionalities and typical use cases of Hunyuan for image, 3D, and video projects.
- Construct end-to-end generation pipelines, spanning from prompt engineering to output assessment.
- Distribute multimodal results via lightweight applications or APIs.
- Incorporate Hunyuan-generated content into product development, content creation, and review processes.
Course Delivery Format
- Engaging lectures coupled with interactive discussions.
- Guided exercises and practical application sessions.
- Real-time implementation within a live lab environment.
Customization Possibilities
- For tailored training requests, please reach out to us for arrangement details.
Course Outline
Hunyuan Multimodal Foundations and Lab Configuration
- Gaining insight into Hunyuan's multimodal capabilities for image, 3D, and video applications
- Pinpointing practical business scenarios for creative, product, and content teams
- Setting up the lab environment, sample assets, and model access permissions
- Executing initial generation tasks and assessing the results
Prompt Engineering and Workflow Architectures
- Structuring prompts to ensure 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 Workshops
- Producing marketing materials, product visuals, and concept art from prompts
- Enhancing visual style, composition, and content consistency
- Evaluating outputs for utility, quality, and brand alignment
- Organizing image assets for approval and subsequent use
Video Generation Workshops
- Generating short video clips from prompts and prepared inputs
- Managing style, scene intent, and output variability
- Evaluating videos for clarity, continuity, and practical applicability
- Preparing video outputs for demonstrations or content pipelines
3D Asset Creation Workshops
- Creating basic 3D assets from text or image inputs
- Inspecting geometry, texture quality, and asset viability
- Exporting assets for visualization, prototyping, or content workflows
- Evaluating when to use 3D generation versus image or video workflows
Integration, Governance, and Future Directions
- Distributing generated assets through lightweight applications, services, or APIs
- Linking multimodal outputs to product, content, and review systems
- Implementing practical checks for quality, brand safety, copyright compliance, and ethical use
- Planning pilot use cases and defining 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 in Python programming or scripting
Target Audience
- Developers creating AI-driven product features
- Technical product managers and solution architects
- Innovation, media, and digital teams handling image, video, or 3D content
Open Training Courses require 5+ participants.
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