Today's selected cutting-edge AI information, enjoy reading 👇
🎨 Toy Box Flux: An AI drawing model specifically for generating 3D toys, capable of creating unique high-quality toy images through text prompts.
📚 awesome-LLM-resources: A comprehensive collection of LLM resources, covering multiple aspects including data, fine-tuning, inference, etc., continuously updated.
🖥️ academic-project-astro-template: A beautiful academic project page template based on Astro and Tailwind CSS, supporting various content displays.
👚 Virtual Try-On Application: An AI virtual fitting application based on WhatsApp, implementing personalized try-on effects with only 200 lines of code.
AI Drawing
- A Flux Lora model specifically for generating 3D toys: Toy Box Flux.
By inputting text prompts, it generates various unique 3D toy design images that meet your requirements, with high quality.
Model download: https://huggingface.co/renderartist/toyboxflux
In addition, this model can also generate some indoor 3D renderings.
Open Source Projects
1. A fairly comprehensive collection of LLM resources: awesome-LLM-resources.
It covers content including data, fine-tuning, inference, knowledge bases, agents, books, related courses, learning tutorials, and related papers.
GitHub: https://github.com/WangRongsheng/awesome-LLM-resourses
Currently being continuously updated, it aims to become the world's best large language model resource summary. Those interested can follow it.
2. A beautiful academic project page template: academic-project-astro-template.
Built on Astro and Tailwind CSS, it features fast loading, responsive design, easy accessibility, and SEO-friendly characteristics.
GitHub: https://github.com/RomanHauksson/academic-project-astro-template
It can be easily edited using Markdown documents and supports displaying titles, inserting images, LaTeX formulas, two-column layouts, code blocks, and inserting videos, among other content.
3. Discovered a virtual try-on AI application with quite good experience on GitHub.
Users only need to send personal photos and clothing photos on WhatsApp. After the application processes, it will return the generated try-on effect image to the user.
GitHub: https://github.com/adarshb3/Virtual-Try-On-Application-using-Flask-Twilio-and-Gradio
It mainly uses WhatsApp API and IDM-VTON (virtual try-on model). Such effects can be achieved with just 200 lines of code. Those interested can take a look.
