ImagesAI is made and published by 其斌 胡. AppBrain is an independent app data site and isn't affiliated with 其斌 胡. The app name, icon, screenshots and description belong to 其斌 胡 and are shown as published on the App Store.
AppBrain's verdict
- Last updated
- March 26, 2024
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Releases
Updates seen on the App Store- Version
- 2.0.1
- Launched
- February 2024
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Technology
Found in the app by AppBrain- Price
- Free
- App size
- 927.7 MB
- Content rating
- Everyone
Technologies used by ImagesAI
About the app and developer
About ImagesAI
ImagesAI is a graphics & design app developed by 其斌 胡.
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App Information
ImagesAI is freely available from the App Store. The app size is 927.67 MB. The latest version available is 2.0.1. The last update was on March 26, 2024.
Technical Requirements
The app has a content rating of Everyone. The app has been available on the App Store since February 2024.
Developer information for 其斌 胡
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Store listing
By 其斌 胡, from the App StoreScreenshots by 其斌 胡, from the the App Store listing
Description by 其斌 胡 Written by the developer, not by AppBrain. Click to read.
(To protect the absolute privacy of users, all algorithms provided by this app are offline and will not upload any images.)ImagesAI mainly provides AI processing capabilities for images, including detecting the content of a certain part of the image,
super-resolution the image, increasing the clarity of the image, swapping face to to experience different styles of clothing.Running environment requirements:iOS system >= 15, device requires running memory >=4Gb,
device models:iphone 12pro,iphone 13pro,iphone 14,iphone 14 plus,iphone 14pro,iphone 15,iphone 15plus,iphone 15 pro,or an iPad with a built-in M1/M2/M3 chip
super-resolution the image, increasing the clarity of the image, swapping face to to experience different styles of clothing.Running environment requirements:iOS system >= 15, device requires running memory >=4Gb,
device models:iphone 12pro,iphone 13pro,iphone 14,iphone 14 plus,iphone 14pro,iphone 15,iphone 15plus,iphone 15 pro,or an iPad with a built-in M1/M2/M3 chip