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Description
Introducing Mobile Diffusion, a groundbreaking image generator that utilizes cutting-edge AI technology to transform your creative ideas into reality. This application allows users to craft breathtaking images from their own text prompts without the necessity of an internet connection, operating seamlessly offline directly on your device. Powered by the Stable Diffusion v2.1 model, Mobile Diffusion enhances image generation capabilities, benefiting from CoreML optimization that makes it up to twice as fast as competing apps. After a one-time download of the 4.5 GB model, you can enjoy offline functionality, providing the freedom to create anywhere and at any time. The app empowers users to refine their results by specifying both positive and negative prompts, ensuring the generated images align perfectly with their vision. Sharing your creations is straightforward, and the app is entirely free to access. Designed primarily for research and development, it showcases the potential of running a diffusion model on mobile devices while maintaining acceptable performance levels, highlighting the future of mobile creativity. With its user-friendly interface and powerful features, Mobile Diffusion is set to revolutionize the way we think about image generation on the go.
Description
Recent advancements in text-based 3D object generation have yielded encouraging outcomes; however, leading methods generally need several GPU hours to create a single sample, which is a stark contrast to the latest generative image models capable of producing samples within seconds or minutes. In this study, we present a different approach to generating 3D objects that enables the creation of models in just 1-2 minutes using a single GPU. Our technique initiates by generating a synthetic view through a text-to-image diffusion model, followed by the development of a 3D point cloud using a second diffusion model that relies on the generated image for conditioning. Although our approach does not yet match the top-tier quality of existing methods, it offers a significantly faster sampling process, making it a valuable alternative for specific applications. Furthermore, we provide access to our pre-trained point cloud diffusion models, along with the evaluation code and additional models, available at this https URL. This contribution aims to facilitate further exploration and development in the realm of efficient 3D object generation.
API Access
Has API
API Access
Has API
Integrations
Stable Diffusion
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
N1 RND
Website
apps.apple.com/pl/app/mobile-diffusion
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com/research/point-e