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ease
features
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support

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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

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Adobe Express
Adobe Firefly
Adobe Photoshop
Crevas AI
Gemini 3 Pro
Gemini 3.1 Pro
Gemini Live API
Google AI Studio
Google Ads
Google Antigravity
Google Lens
Lucent
Nano Banana
NotebookLM
Sup AI
SynthID
YouArt
fal
graphis
iMini

Integrations

Adobe Express
Adobe Firefly
Adobe Photoshop
Crevas AI
Gemini 3 Pro
Gemini 3.1 Pro
Gemini Live API
Google AI Studio
Google Ads
Google Antigravity
Google Lens
Lucent
Nano Banana
NotebookLM
Sup AI
SynthID
YouArt
fal
graphis
iMini

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

Google

Founded

1998

Country

United States

Website

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

Product Features

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Alternatives

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