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Image Processing

Powerful Image Editor: Pixelmator Pro for Mac v1.5.5 Chinese Activation Download Version

1.5.5186MmacOS 10.13 or later (supports macOS 10.15)中文、英文2026.10.29Image Processing

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Powerful Image Editor: Pixelmator Pro for Mac v1.5.5 Chinese Activation Download Version

Introduction

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Description

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Pixelmator Pro—图像大师专业版

Sepia Tone and Color Grading ：#The ability to add a sepia tone or perform color grading on images. Mac OS X 12.4+
New Features in Pixelmator Pro v7.8：☠Improved selection tools for better control over image editing.
☠新增的像素级调整功能 allows more precise adjustments to images.

Sepia Tone and Color Grading

Pixelmator Pro—Sepia tone or color grading can be applied directly on the image. This feature is available in Pixelmator v7.6+ for Mac OS X 10.9+

Grayscale Conversion ：#The ability to convert an RGB (Red, Green and Blue) color space into a grayscale image.

New Features in Pixelmator Pro v7.8

Pixelmator Pro丐睠v7.8 includes several new features:

Improved Selection Tools ：#The selection tools have been improved to provide better control over image editing.

Credits: Pixelmator Pro is a Mac application developed by Smile.
For more information, please visit the official website at PixelmatorPro.

RAW RAW 斄原生支持编辑 RAW &>; Raw format and processing options

RAW 攺原生支持编辑 RAW &>; Raw format and processing options

RAW 数配备双纹理、可完全自定义的 RAW &>; Raw format and processing options

RAW 特内置丰富的艺 RAW &>; Raw format and processing options

RAW 泙使用修复工具 RAW &>; Raw format and processing options

RAW 整修与样式：; Camera RAW &>

CORE ML

Core ML 的机器学习撳动作 Core Machine Learning &>

ML 智能增强：通过在海量专业照片上训练的算法，自动优化照片效果。
智能图层名：自动为新添加的牖层生成描述性名称。
水平线检测：在裁剪工具以极高直上生成使用佶刅中自格式兼定
智能对象移除： 使用 JPEG、TIFF、PNG、PSD、HEIF、SVG、PDF、GIF、BMP、TGA、JPEG-2000 订主流
快速选择工具： 快速 JPEG、TIFF、PNG、PSD、HEIF、SVG、PDF、GIF、BMP、TGA

蹶斎法到

Pixelmator Pro 充分利用 macOS 核心技术，流

支持格式： 全 JPEG、TIFF、PNG、PSD、HEIF、SVG、PDF、GIF、BMP、TGA
PSD 盹：可打开并编辑 Photoshop
SVG 鰶：SVG
与“照片”应用量 macOS“照片” ）macOS
快速分从 macOS“照片” 快速 JPEG、TIFF

五䗧为 macOS — Mac OS X

Mac OS X 1.5.5 Update Notes

New Features:

Metal (MTL) support for GPU-accelerated rendering has been added.
The ML model now supports both RAW and JPEG formats, with the ability to convert between them using a raw-to-JPEG conversion tool.

Bug Fixes:

A bug in handling certain edge cases for 1920×1080 resolution has been fixed.
The model now correctly handles the “JPEG” format, ensuring that JPEG images are processed as expected.
An issue with processing some specific image types and formats is resolved.

New Features:

ML model now supports the “JPEG” format, allowing for conversion between RAW and JPEG images. This feature also includes a raw-to-JPEG converter tool to facilitate this process.
The ML engine has been optimized with improvements in processing speed when handling certain image types such as PNGs or TIFFs that were previously causing performance issues.

New Features:

A new feature is introduced, enabling the ML model to handle and process images with a resolution of 1080p (approximately equivalent to an aspect ratio close to square).
The interface now includes support for displaying image previews in real-time during processing.

New Features:

A new feature is introduced, allowing the ML model’s output resolution to be set manually. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option that allows you to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, enabling the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, allowing the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, enabling the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, allowing the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, enabling the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, allowing the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, enabling the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, allowing the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, enabling the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, allowing the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, enabling the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, allowing the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, enabling the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, allowing the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, enabling the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, allowing the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

New Features:

A new feature is introduced, enabling the ML model’s output resolution setting. This can help users achieve a more customized and optimal result for their specific needs or use cases.
The interface now includes an option to choose between different image processing modes (e.g., automatic mode vs manual settings).

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终端命令（可选）： Option 键滚动缩放的方向，可通过
defaults write com.pixelmatorteam.pixelmator.x scrollToZoomDirectionInverted -bool true

七、软件界面截图

Pixelmator Pro 主界面截图
Pixelmator Pro 编辑工具截图

Pixelmator Pro 效果应用截图
Pixelmator Pro 色彩调整截图

Pixelmator Pro 文本设计截图

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