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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.
Description
The Gemini 2.5 Flash Image is Google's cutting-edge model for image creation and modification, now available through the Gemini API, build mode in Google AI Studio, and Gemini Enterprise Agent Platform. This model empowers users with remarkable creative flexibility, allowing them to seamlessly merge various input images into one cohesive visual, ensure character or product consistency throughout edits for enhanced storytelling, and execute detailed, natural-language transformations such as object removal, pose adjustments, color changes, and background modifications. Drawing from Gemini’s extensive knowledge of the world, the model can comprehend and reinterpret scenes or diagrams contextually, paving the way for innovative applications like educational tutors and scene-aware editing tools. Showcased through customizable template applications in AI Studio, which includes features such as photo editors, multi-image merging, and interactive tools, this model facilitates swift prototyping and remixing through both prompts and user interfaces. With its advanced capabilities, Gemini 2.5 Flash Image is set to revolutionize the way users approach creative visual projects.
API Access
Has API
API Access
Has API
Integrations
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
GitHub
Google AI Studio
Nano Banana
OpenRouter
SynthID
fal
Integrations
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
GitHub
Google AI Studio
Nano Banana
OpenRouter
SynthID
fal
Pricing Details
Free
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
DragGAN
Founded
2023
Website
vcai.mpi-inf.mpg.de/projects/DragGAN/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
developers.googleblog.com/en/introducing-gemini-2-5-flash-image/