BannerGen, an open-source library developed by Salesforce, revolutionizes graphic design with generative AI. It offers three methods for creating banners and integrates VAEGAN and DETR architectures to improve design quality. Providing licensed fonts and templates, BannerGen enables users to create stunning visuals from uploaded images, producing HTML and PNG files for easy use across media.
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Introducing BannerGen: Revolutionizing Graphic Design with AI
Graphic designing plays a crucial role in successful marketing campaigns, acting as a communication bridge between designers and audiences. Current methodologies can be time-consuming and involve intricate layer-by-layer assembly work, limiting scalability and efficiency.
BannerGen: Streamlining Design with Generative AI
Researchers at Salesforce have introduced BannerGen, an open-source library that leverages generative AI to streamline the design process. It offers three parallel multimodal banner generation methods – LayoutDETR, LayoutInstructPix2Pix, and Framed Template RetrieveAdapter, trained on a large corpus of graphical data to expedite design processes. The library is open-sourced on GitHub, with Python module imports for easy experimentation. BannerGen also provides licensed fonts and templates for high-quality designs.
The user can upload an image, undergo a cropping process, specify banner type and text, and integrate sub-images into a template to create stunning visuals. The final design is produced as an HTML and a PNG file.
AI Integration and Frameworks
BannerGen integrates the VAEGAN framework to align designs with real-world patterns and incorporates the DETR architecture, referred to as LayoutDETR, for better understanding of background and foreground elements. It also utilizes InstructPix2Pix for image-to-image editing and Framed Template RetrieveAdapter to enhance design diversity.
Practical Value and Implementation
BannerGen empowers users to create customized banners seamlessly, with the ability to learn from real layouts and understand background and foreground elements. The final designs are generated as HTML and PNG files, allowing for easy manual adjustments and embedding into any media for immediate use. This aims to make graphic designing less time-consuming and help users generate high-quality designs.
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List of Useful Links:
- AI Lab in Telegram @aiscrumbot – free consultation
- SalesForce AI Research BannerGen: An Open-Source Library for Multi-Modality Banner Generation
- MarkTechPost
- Twitter – @itinaicom
