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ease
features
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support

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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

Screenshots View All

Screenshots View All

Integrations

Stable Diffusion

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

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