网易AI设计工坊

Tool introduction:

Netease Cloud Classroom and HCI Lecture Hall have created an integrated platform for AI painting design, learning and creation, which core services the needs of "AI painting learning + practical creation + order-taking monetization". It provides cloud Stable Diffusion (installment-free deployment, multi-device adaptation), a model square for hundreds of selected models, customized model training functions, combined with free three-day introductory courses and intensive courses, and also builds a work sharing and part-time order-taking community., has served a large number of AI painting learners and designers, helping them adapt to multiple design scenarios such as games, architecture, and clothing from zero-basic entry to skills realization.

Core functions:

• Cloud Stable Diffusion--installment-free deployment, supports notebook, Mac, and tablet use, contains rich plug-ins, and can efficiently generate pictures without local computing power ​
• Model Square-Contains hundreds of selected models (such as realistic portraits, game icons, garden landscape models), which can be added with one click and used to cover multiple design scenarios ​
• Model training-Support customization of exclusive character, style or IP models to meet personalized creative needs (such as brand-specific style models) ​
• AI Painting Course-Provides free three-day introductory course (quick start) and intensive course, combined with the basic guide of "Creating Magic Book" to help zero-basic users get started ​
• Works/order-taking community-Support the sharing of excellent works, build part-time order-taking channels, and realize skills realization ​
• Multi-scene model applications-including realistic portraits, game animation characters/scenes, fashion models, interior decoration, personalized QR codes and other models to adapt to diverse design needs

Usage scenarios:

• Short Video creation assistance: Use game scenes, clothing models and other models to generate Short Video materials (such as game commentary covers, dressing Short Video with pictures) to enhance the visual sense of content ​
• AI painting learning: Through free introductory courses + advanced courses, master the skills of Stable Diffusion operation and model matching (such as large model +Lora combination) ​
• Practical design operation: Designers use garden landscapes and realistic product drawings to quickly produce design plans to verify the feasibility of creativity ​
• Part-time order taking: Share works in the community, accept part-time orders for AI painting (such as commercial illustration, blind box design), and realize skills realization

Applicable population:

• Short Video creators/self-media people: Learn AI painting skills, quickly generate Short Video materials, and reduce design costs ​
• AI painting learners: People who want to get started in AI painting with zero basics, or who have basics and want to improve model matching and customization capabilities ​
• Design practitioners (games/architecture/clothing): Use platform models to assist daily design to improve program output efficiency ​
• Students/freelance creators: Improve skills through course study, take part-time jobs in order-taking communities, and increase income sources

Unique advantages:

• Integration of learning and practice: The course is deeply bound to cloud practical tools. You can use cloud SD and model square practical exercises immediately after learning to avoid "disconnect between learning and application" ​
• Low entry threshold: Free three-day introductory course + no installation of cloud tools, zero-basic users can get started without configuring their devices ​
• Improve monetization channels: Build a dedicated order-taking community and open up the "learning-creation-monetization" link, which is different from a pure learning platform ​
• Rich model scenarios: Covering models in multiple fields such as realism, games, architecture, and clothing, combined with detailed use guides (such as large model +Lora combination solution) to adapt to different design needs