Image App: AI-Powered Image Creation and Custom Model Training

Image App

Pricing model
Freemium
Upvote 0
Image App is an AI-driven image creation tool enabling users to produce images with advanced AI models like Stable Diffusion, DALL-E, Hiroshinagai, Openjourney, Rothko AI, among others. Additionally, users can develop their personalized models with Image App's bespoke model training platform. The app provides both free and subscription plans, offering enhanced image generation and model training capabilities.

Similar neural networks:

Paid
Upvote 0
Backflip AI is an innovative tool that enables users to easily transform their ideas into tangible 3D components. By describing, sketching, or photographing an object, the AI platform can create a 3D model with a single click, which can be 3D printed in different materials like metal, carbon fiber, or plastic. This tool is perfect for designers, engineers, and creators looking to quickly prototype and realize their creative concepts without the need for advanced 3D modeling skills, thereby speeding up the design process and promoting innovation in product development.
GitHub
Upvote 0
Infinigen is a freely available procedural generator designed to produce varied and high-quality 3D scenes. Created by the Princeton Vision & Learning Lab, it is tailored for computer vision research and produces realistic training data. By utilizing randomized mathematical rules, Infinigen can generate limitless variations in forms, materials, and details. It features an extensive collection of generators for natural objects and environments, prioritizing precise geometry over simulated details. Additionally, Infinigen offers automatic annotations for different computer vision tasks and promotes community involvement to enhance its features.
GitHub
Upvote 0
A novel technique for rapidly creating 3D models from text is now available. Traditionally, generating a single 3D model from text could take several hours, but this innovative approach can complete the task in just 1-2 minutes. Initially, the method creates an image from the text, which is then converted into a 3D point cloud using a separate model. Although the 3D models created with this technique are not as high quality as those produced by the conventional method, they are created much more quickly.