What are the system requirements for Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive on PC?
To run Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive on your PC, you need at least a Intel Core2 Duo (or better) processor and a DirectX 9/OpenGL 4.1 capable GPU graphics card. For the best experience, a — CPU and — GPU are recommended. The game also requires a minimum of 2 GB RAM RAM, 2 GB available space of disk space, Microsoft® Windows® 10 / 11 as your operating system, and DirectX 9.0. Check the full specification table above and compare it with your hardware to make sure Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive will run smoothly on your setup.
What GPU do I need for Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive?
The minimum GPU required for Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive is DirectX 9/OpenGL 4.1 capable GPU. For optimal performance, a — or better is recommended.
How much RAM does Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive need?
Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive requires at least 2 GB RAM of RAM. The recommended amount is — for the best experience.
How much disk space does Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive require?
You need at least 2 GB available space of available storage space to install Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive.
Can I run Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive on Mac or Linux?
The system requirements listed on this page are for the PC (Windows) version of Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive. Check the official store page for Mac or Linux compatibility.
What CPU is needed for Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive?
The minimum CPU for Tales of Legendary Lust: Aphrodisia - Alternative Portraits Archive is Intel Core2 Duo (or better). For better performance, a — processor is recommended.