Magic Spells - [Asset for Zibra Smoke & Fire]
Zibra AI
$8.99
(no ratings)
Date |
Price |
---|---|
日期和时间 |
价钱($) |
12/20(2023) |
8.99 |
11/07(2024) |
8.99 |
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Magic Spells is a dynamic VFX asset based on Zibra Smoke & Fire real-time smoke simulation functionality.You need Zibra Smoke & Fire or Zibra Effects for asset to run.Please see compatibility information for Zibra Smoke & Fire or Zibra Effects.📌 Note: To use this asset, you are required to have Zibra Smoke & Fire or Zibra Effects.Magic Spells is a dynamic VFX asset created with real-time smoke simulation. Offers three distinct types to choose from, enabling the crafting of various effects, such as health restoration, stamina rejuvenation, or mana regeneration. Ideal for gameplay elements in RPG games or cinematic experiences.Fully Interactive: Uses Zibra Smoke & Fire for real-time smoke simulation.Easy to Use: All you need to do is buy the asset and simply drop it into your scene. No additional animations are needed; everything is operational right out of the box.Highly Customizable: Tweak and modify the Magic Spells asset to fit your specific vision. Its parameters are designed for ease of use, allowing changes in dynamics, appearance, and behavior without a steep learning curve.Includes dynamic shadow casting.What is Zibra Smoke & Fire?Zibra Smoke & Fire is an extension for the creation of volumetric effects based on real-time simulated smoke & fire.Powered by custom physics simulation and AI-driven technology for neural object representation, this tool is versatile for adding realistic VFX, creating custom game mechanics, and accelerating scene prototyping.Zibra Smoke & Fire delivers unparalleled performance across a range of devices, from mobile devices such as the iPhone 6s to high-end desktop GPUs like the RTX 4090.Want to find out more? Check the description of Zibra Smoke & Fire.Need help? You can reach out to our team here.Tested on desktop with RTX 2060 at Full HD (1080p) in Built-in Render Pipeline (BRP)FPS - 62Frame Time (for scene with effect) - 16.1ms