Average Ratings 2 Ratings
Average Ratings 0 Ratings
Description
Discover a free AI generator for images and videos tailored for game assets, anime themes, artistic styles, character concepts, product designs, and photography. Experience the cutting-edge capabilities of Stable Diffusion 3 (SD3), seamlessly integrated into our AI image generator, allowing you to create breathtaking visuals for any project with ease. SD3 excels in text generation, providing precise text integration within images, while its ability to manage multiple subjects in prompts is remarkable, enabling it to depict intricate scenes with precision. Additionally, the advancements in image quality and accuracy are impressive, featuring intricate details, true-to-life colors, and realistic lighting and shadow effects. With SD3, our AI image generator transforms the creative process, offering a high-quality and efficient artistic experience. Furthermore, our video generator empowers you to produce captivating, high-resolution videos that effectively engage your audience and convey your message clearly. This combination of tools is designed to elevate your creative projects to new heights.
Description
Creating visual content that aligns with user requirements often necessitates a high degree of flexibility and precision in managing the pose, shape, expression, and arrangement of the generated elements. Traditional methods enhance the controllability of generative adversarial networks (GANs) by relying on manually labeled training datasets or pre-existing 3D models, which frequently fall short in terms of flexibility, accuracy, and adaptability. In this research, we explore a powerful yet relatively underutilized technique for controlling GANs, which allows users to "drag" specific points in an image to accurately reach designated target locations through interactive engagement, as illustrated in Fig.1. Our proposed solution, DragGAN, comprises two primary components: first, a feature-based motion supervision system that guides the handle point toward the intended position; and second, an innovative point tracking method that utilizes the discriminative features of GANs to continuously identify the handle points' locations. With DragGAN, users gain the capability to manipulate images with exceptional precision in directing pixel movements, thereby facilitating a more intuitive and user-centered design process. This approach not only enhances creative possibilities but also empowers users to achieve their desired visual outcomes more effectively.
API Access
Has API
No
API Access
Has API
No
Integrations
Stable Diffusion
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Aitubo
Website
aitubo.ai/
Vendor Details
Company Name
DragGAN
Founded
2023
Website
vcai.mpi-inf.mpg.de/projects/DragGAN/