This tool allows creators to stretch images beyond their original aspect ratios. Crop outside the image boundaries, click "Generate," and Photoshop seamlessly fills the empty space with contextually accurate content. This update offers smoother blending along the original borders. 3. Contextual Task Bar Advancements
No major fireworks — just the stuff that matters. Fewer crashes. Faster brushes. Cleaner exports.
这一设计让高频次工具的路径缩短至1–2次点击,有效提升了操作流畅度。
Understanding the hardware requirements is essential before upgrading to version 25.9.1. This version optimizes performance for multi-core processors and advanced graphics cards. Windows Requirements Adobe Photoshop 2024 25.9.1
: Fixes background errors that occasionally interrupted automatic asset saving.
从版本号来看,25.9.1是一个包含大量功能整合与本地优化的“小步快跑”式更新,并非年度大版本。
An Intel Core i7 / AMD Ryzen 7 or higher is recommended. Single-core speed determines general tool snappiness, while multi-core processing manages heavy export operations. Apple Silicon users (M1/M2/M3 chips) benefit from native architecture optimization, providing exceptional performance per watt. This tool allows creators to stretch images beyond
: Intel or AMD processor with 64-bit support, 2 GHz or faster. RAM : 8 GB minimum (16 GB or more recommended).
This tool allows users to add, remove, or modify elements in an image using simple text prompts. In 25.9.1, the generation speed is noticeably snappier, and the boundaries where AI-generated pixels meet original imagery are blended with higher geometric accuracy and better lighting match. Generative Expand
: Enhanced to allow users to remove large objects by circling them rather than brushing over the entire area. Contextual Task Bar Faster brushes
macOS Ventura (version 13) or macOS Sonoma (version 14). RAM: 8 GB minimum (16 GB or more recommended). Graphics Card: GPU with Metal support; 2 GB of GPU memory.
: This minor update targets crashes related to Neural Filters and ensures that the Contextual Task Bar remains pinned across different sessions.
: Resolves hidden RAM consumption issues during heavy smart object usage.
The Firefly engine produces more relevant and visually accurate results compared to early 2024 iterations.
User feedback suggested that by version 25.9.1, the reliability and intention behind the AI generations had improved significantly compared to earlier, more random iterations. Professional users noted that for "ordinary changes" and standard object removals, the AI performed remarkably well, though it still struggled with highly complex or niche imagery.