Download [portable] Lossless Scaling V2.5.0.1.beta.2 -
Seamlessly lock the upscaled application to any connected display while maintaining independent refresh rates.
| Feature Category | Available Options & Capabilities | | :--- | :--- | | | LSFG 2.0+ : Includes Fixed and Adaptive modes. | | Scaling Algorithms | LS1 (proprietary ML model), AMD FSR , NVIDIA NIS , Integer Scaling , Nearest Neighbor , xBR , Anime4K , Sharp Bilinear , Bicubic CAS . | | Performance | Dual GPU Support : Offloads scaling/frame-gen to a second GPU to preserve the game's original frame rate and reduce latency. | | Convenience | Game Profiles : Save per-game settings for automatic application when the executable is detected. | | Hardware | Compatible with all modern integrated and dedicated graphics (NVIDIA, AMD, Intel) and works with most games and emulators. |
Set to X2 (to turn 30FPS into 60FPS) or X3 (if you have a high-refresh-rate monitor and a strong GPU). Performance Mode: Enabled. Download Lossless Scaling v2.5.0.1.Beta.2
The Ultimate Guide to Lossless Scaling v2.5.0.1.Beta.2: Next-Gen Frame Generation and Scaling
While the developer (THS) often keeps patch notes concise, the community reception highlights key improvements in this build: Seamlessly lock the upscaled application to any connected
While the stable version of Lossless Scaling has long been a favorite for its ability to integer scale pixel art games or inject FSR/XeSS into titles that don't natively support them, the v2.5 Beta branch is all about one thing: LSFG (Lossless Scaling Frame Generation).
Version 2.5.0.1.Beta.2 was a significant update in the software's history, as it marked the integration of frame generation into the tool. Before this version, Lossless Scaling was primarily a scaling utility. v2.5.0.1.Beta.2 officially introduced LSFG, providing a universal frame generator to boost performance independently. | | Performance | Dual GPU Support :
Lossless Scaling is a lightweight premium utility available on Steam. It allows players to upscale windowed games to full screen using advanced modern algorithms without blurring the image.
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