

Shap E
Overview :
Shap-E is an official code and model repository for generative conditional 3D implicit functions. It can generate 3D objects based on text or images. This product utilizes the latest generation models to create 3D models related to the given prompts.
Target Users :
Shap-E can be used to generate 3D models related to text or images, which can be applied in fields such as virtual reality, game development, and architectural design.
Use Cases
Generate a 3D model that looks like a milk bottle based on a text prompt
Generate a 3D model that looks like a sunflower based on an image prompt
Generate a 3D model that looks like an airplane based on a text prompt
Features
Generate 3D objects based on text
Generate 3D objects based on images
Support generating different types of 3D objects
Featured AI Tools
Chinese Picks

Capcut Dreamina
CapCut Dreamina is an AIGC tool under Douyin. Users can generate creative images based on text content, supporting image resizing, aspect ratio adjustment, and template type selection. It will be used for content creation in Douyin's text or short videos in the future to enrich Douyin's AI creation content library.
AI image generation
9.0M

Outfit Anyone
Outfit Anyone is an ultra-high quality virtual try-on product that allows users to try different fashion styles without physically trying on clothes. Using a two-stream conditional diffusion model, Outfit Anyone can flexibly handle clothing deformation, generating more realistic results. It boasts extensibility, allowing adjustments for poses and body shapes, making it suitable for images ranging from anime characters to real people. Outfit Anyone's performance across various scenarios highlights its practicality and readiness for real-world applications.
AI image generation
5.3M