ImageX - AI Photo Enhancer PC 용 : 무료 다운로드

★ ★ ★ 에디터의 리뷰

1. Any side of the output that is higher than 1280 pixels or the output that is an animated image does not support saving and sharing.

2. Any side of the output that is higher than 1280 pixels or the output that is an animated image will be ignored.

3. - AI Super Resolution, enlarges the image, improve the image quality, noise reduction.

4. - AI Frame Interpolation, improve the smoothness of animated image.

5. - ImageX built-in a variety of latest image enhancement AI algorithms.

6. Upgrade to Pro with Subscription or Lifetime Purchase to unlock full access.

7. - Local offline processing, no upload required, ensuring privacy.

8. - Support GPU hardware acceleration, faster processing speed.

9. - Rich format, support JPG PNG APNG GIF WebP HEIC format.

10. All images are processed offline locally on the device, no uploading, no privacy risk.

11. - Dozens of pre-trained models, suitable for different styles.

스크린 샷

다운로드 및 설치 방법 ImageX - AI Photo Enhancer 귀하의 PC 및 Mac에서

호환되는 PC 앱 또는 대안 확인

앱	다운로드	평점	개발자
ImageX	앱 또는 대안 다운로드 ↲	56 4.55	嘉豪吕

또는 아래 가이드를 따라 PC에서 사용하십시오. :

PC 버전 선택:

Windows 10
Windows 11

소프트웨어 설치 요구 사항:

1 단계 : PC 및 Mac 용 Android 에뮬레이터 다운로드

직접 다운로드 가능합니다. 아래 다운로드 :

2 단계 : PC 또는 Mac에 에뮬레이터 설치

3 단계 : ImageX - AI Photo Enhancer PC의 경우 - Windows 7/8 / 10 / 11

설치 한 에뮬레이터 애플리케이션을 열고 검색 창을 찾으십시오. 일단 찾았 으면 ImageX - AI Photo Enhancer 검색 막대에서 검색을 누릅니다. 클릭 ImageX - AI Photo Enhancer응용 프로그램 아이콘. 의 창 ImageX - AI Photo Enhancer Play 스토어 또는 앱 스토어의 스토어가 열리면 에뮬레이터 애플리케이션에 스토어가 표시됩니다. Install 버튼을 누르면 iPhone 또는 Android 기기 에서처럼 애플리케이션이 다운로드되기 시작합니다. 이제 우리는 모두 끝났습니다.
"모든 앱 "아이콘이 표시됩니다.
클릭하면 설치된 모든 응용 프로그램이 포함 된 페이지로 이동합니다.
당신은 아이콘을 클릭하십시오. 그것을 클릭하고 응용 프로그램 사용을 시작하십시오.

PC 용 호환 APK 받기

다운로드	개발자	평점	현재 버전
다운로드 PC 용 APK »	嘉豪吕	4.55	1.1.3

다운로드 ImageX Mac OS의 경우 (Apple)

다운로드	개발자	리뷰	평점
Free Mac OS의 경우	嘉豪吕	56	4.55

기능 및 설명

- ImageX built-in a variety of latest image enhancement AI algorithms. - AI Super Resolution, enlarges the image, improve the image quality, noise reduction. - AI Frame Interpolation, improve the smoothness of animated image. - Dozens of pre-trained models, suitable for different styles. - Local offline processing, no upload required, ensuring privacy. - Support GPU hardware acceleration, faster processing speed. - Rich format, support JPG PNG APNG GIF WebP HEIC format. - No ads. - Supports iOS and Mac (sold separately). (For batch processing and faster speeds, we recommend the Mac version) Privacy Protection: All images are processed offline locally on the device, no uploading, no privacy risk. Non-Pro version restrictions: - iOS 1. Any side of the output that is higher than 1280 pixels or the output that is an animated image does not support saving and sharing. 2. Batch saving and sharing are not supported. - Mac 1. Any side of the output that is higher than 1280 pixels or the output that is an animated image will be ignored. Subscription: 1. Upgrade to Pro with Subscription or Lifetime Purchase to unlock full access. 2. If subscribing to the Pro version (monthly subscription or annual subscription; lifetime purchases are not included), the subscription will automatically renew unless you cancel the subscription 24 hours before the end of the next recurring date. 3. Pro for iOS and Mac are sold separately; iOS in-app purchases are only applicable to iOS App use, and Mac in-app purchases are only applicable to Mac App use. 4. For batch processing and faster speeds, please choose the Mac version. Privacy Policy: https://www.tinyperfectapps.com/res/imagex/policy/imagex_privacy_policy.html Terms of Use: https://www.tinyperfectapps.com/res/imagex/policy/imagex_terms_and_conditions.html Reference projects: Waifu2x - nagadomi/waifu2x: https://github.com/nagadomi/waifu2x (MIT) - lltcggie/waifu2x-caffe: https://github.com/lltcggie/waifu2x-caffe (MIT) - nihui/waifu2x-ncnn-vulkan: https://github.com/nihui/waifu2x-ncnn-vulkan (MIT) Real-CUGAN - bilibili/ailab: https://github.com/bilibili/ailab/tree/main/Real-CUGAN (MIT) - nihui/realcugan-ncnn-vulkan: https://github.com/nihui/realcugan-ncnn-vulkan (MIT) Real-ESRGAN - xinntao/Real-ESRGAN: https://github.com/xinntao/Real-ESRGAN (BSD3) - xinntao/Real-ESRGAN-ncnn-vulkan: https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan (MIT) SRMD - cszn/SRMD: https://github.com/cszn/SRMD (MIT) - cszn/KAIR: https://github.com/cszn/KAIR (MIT) - nihui/srmd-ncnn-vulkan: https://github.com/nihui/srmd-ncnn-vulkan (MIT) RealSR - jixiaozhong/RealSR: https://github.com/jixiaozhong/RealSR (Apache2) - nihui/realsr-ncnn-vulkan: https://github.com/nihui/realsr-ncnn-vulkan (MIT) RIFE - megvii-research/ECCV2022-RIFE: https://github.com/megvii-research/ECCV2022-RIFE (MIT) - nihui/rife-ncnn-vulkan: https://github.com/nihui/rife-ncnn-vulkan (MIT) IFRNet - ltkong218/IFRNet: https://github.com/ltkong218/IFRNet (MIT) - nihui/ifrnet-ncnn-vulkan: https://github.com/nihui/ifrnet-ncnn-vulkan (MIT)