Meitu WHEE and Zcool Launch AI-Powered Material Generator for Designers
In a significant move for the design community, Meitu's WHEE platform has teamed up with Zcool to unveil an innovative Small Material Generator. This AI-powered tool aims to revolutionize how designers source and customize materials, eliminating hours of manual searching and editing.
The collaboration addresses a persistent challenge in creative workflows. Designers frequently juggle multiple projects—from e-commerce banners to print media—while wrestling with time-consuming material procurement. The new generator leverages WHEE's advanced cut-out technology, combining intelligent semantic analysis with cutting-edge image algorithms to interpret creative briefs and deliver tailored assets instantly.
How It Works Designers access the tool through Zcool's PC interface, where they can:
- Input specific creative prompts
- Select from six specialized style models
- Adjust output quantity Within seconds, the system generates production-ready materials without the traditional hassles of library searches or manual cropping.
Style Versatility The platform caters to diverse aesthetic needs with preset options including:
- 3D resin and cool variants
- Gradient and cartoon flat designs
- Modern watercolor textures These cover major sectors like digital marketing, UI development, and editorial work. For finer control, the generator allows post-production adjustments through AI-assisted extensions and style transfers.
A standout feature is the "Make a Match" function. When designers encounter nearly-perfect materials in Zcool's library but need color or detail modifications, this tool reverse-engineers the generation parameters. Users can then tweak these presets to create harmonized assets without complex Photoshop edits.
Key Points
- The generator reduces material sourcing time from hours to minutes through AI automation
- Six predefined styles cater to cross-industry design requirements
- The "Make a Match" feature enables seamless asset customization
- Integration with existing Zcool workflows minimizes learning curves
