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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Gemini Image Pro is an advanced multimodal system for generating and editing images, allowing users to craft, modify, and enhance visuals using natural language prompts or by integrating various input images. This platform ensures uniformity in character and object representation throughout edits and offers detailed local modifications, including background blurring, object removal, style transfers, or pose alterations, all while leveraging inherent world knowledge for contextually relevant results. Furthermore, it facilitates the fusion of multiple images into a single, cohesive new visual and prioritizes design workflow elements, featuring template-based outputs, consistency in brand assets, and the ability to maintain recurring character or style appearances across different scenes. Additionally, the system incorporates digital watermarking to identify AI-generated images and is accessible via Gemini API, Google AI Studio, and Gemini Enterprise Agent Platform, making it a versatile tool for creators across various industries. With its robust capabilities, Gemini Image Pro is set to revolutionize the way users interact with image generation and editing technologies.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Adobe Firefly No 
Fuser No 
Gemini No 
Gemini 3 Pro No 
Gemini 3.1 Flash-Lite No 
Gemini 3.1 Pro No 
Gemini 3.5 Pro No 
Gemini Enterprise No 
Gemini Notebook No 
GitHub No 
Google Antigravity No 
Google Lens No 
Google Photos No 
Higgsfield AI No 
Lucent No 
Nano Banana No 
OpenRouter No 
Sup AI No 
SynthID No 
YouArt No 

Integrations

Adobe Firefly Yes 
Fuser Yes 
Gemini Yes 
Gemini 3 Pro Yes 
Gemini 3.1 Flash-Lite Yes 
Gemini 3.1 Pro Yes 
Gemini 3.5 Pro Yes 
Gemini Enterprise Yes 
Gemini Notebook Yes 
GitHub Yes 
Google Antigravity Yes 
Google Lens Yes 
Google Photos Yes 
Higgsfield AI Yes 
Lucent Yes 
Nano Banana Yes 
OpenRouter Yes 
Sup AI Yes 
SynthID Yes 
YouArt Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version 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 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

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

DragGAN

Founded

2023

Website

vcai.mpi-inf.mpg.de/projects/DragGAN/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

deepmind.google/models/gemini-image/pro/

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