Pixie Wallpaper - High Quality vs ImageX - AI Photo Enhancer Uso & Estadísticas

Pixie is a photographer's wallpaper library. Every picture in the selected gallery and editor's recommendation category is carefully selected by a professional photographer with a sharp vision, which can make your phone skyrocket! --- Pixie's Quest --- No advertisements, no notifications, no registration required, all data will only be saved in your phone (important data should be backed up), Less is more. --- Suggestions and Feedback --- If you have a good idea, you can also contact us --- Contact information --- Email: invsi@icloud.com WeChat: invsi2022 --- Subscription related --- - The basic functions of invsi can be used for free; - Become a Pixie member to unlock all premium features; - Payment will be charged to your iTunes Account at confirmation of purchase; - Subscription automatically renews unless auto-renew is turned off at least 24-hours before the end of the current period; - You can manage or turn off auto-renewal in the Apple 1D account settings at any time after purchase, path: "Settings - Apple ID -> Media and Purchases -> Subscriptions". --- Additional Information --- Privacy policy: https://invsi.notion.site/f6522ae9d0c7415cad8f9902b983dc17 User agreement: https://invsi.notion.site/40f9dd30286d4b52977ab6698af13378
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- 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)
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Pixie Wallpaper - High Quality VS.
ImageX - AI Photo Enhancer

14iciembre d, 2024