Lossless Scaling V3.0.0.1 May 2026

To get the best experience, follow these community-sourced tweaks:

Generating frames requires storing real and synthetic frames in memory. At 1440p, add 1.2GB of VRAM usage. At 4K, add 2.5GB. If your GPU has only 4GB VRAM (GTX 1650), you will crash on X4 mode. Stick to X2 at 1080p.

Crucial warning: Easy Anti-Cheat (EAC), BattlEye, and Vanguard (Valorant) will flag Lossless Scaling as a "overlay injection tool." While it is not a cheat, using it in The Finals, Fortnite, or Valorant will result in a ban. Do not use LSFG in any competitive multiplayer game with kernel-level anti-cheat. Use it for single-player, co-op (e.g., Elden Ring seamless co-op mod), and emulators only. Lossless Scaling V3.0.0.1

You might be asking, "Why not just use DLSS 3 or FSR 3?"

While NVIDIA’s DLSS 3 and AMD’s FSR 3 are incredible technologies, they require specific hardware (like RTX 40 series cards) or specific game implementations. Lossless Scaling is agnostic. It works on virtually any game and any GPU (NVIDIA, AMD, Intel, or even integrated graphics), provided you have the compute power to handle the overhead. To get the best experience, follow these community-sourced

With V3.0.0.1, the gap between proprietary hardware solutions and this software-based approach has narrowed significantly. This update transforms Lossless Scaling from a "nice-to-have novelty" into a legitimate performance tool for almost any game in your library.

Lossless Scaling V3.0.0.1 reignites the debate over generated frames. Purists argue that interpolation adds latency without adding real input response. However, for narrative games, turn-based strategy, and emulation, the perceptual smoothness is transformative. You might be asking, "Why not just use DLSS 3 or FSR 3

A deeper technical critique: LSFG 2.2 is not truly lossless. It cannot recover details occluded between frames. In v3.0.0.1, fast-moving particle effects (fire, smoke, rain) exhibit "boiling" artifacts—pixels that warp unnaturally. The software’s name is increasingly ironic, as the output is inherently lossy, but the perceived fluidity loss is acceptable for most users.