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DraFG playtest
by Draske
DraFG adds generated frames to games without modifying them. Choose no added latency extrapolation or cleaner interpolation. Native on Windows, Linux and Apple Silicon macOS.
Anyone with a Steam account can join, and it's free.
- Access
- Instant
- On playtest since
- Aug 25, 2026
- Planned release
- Dec 2026
- Developer
- Draske
- Platforms
- Windows, macOS, Linux
- Languages
- English
How to join the DraFG playtest
- Open the game's Steam page with the Join playtest button. Sign in to Steam if it asks.
- Use the DraFG playtest signup there. You're in straight away, with nothing to pay.
- The playtest shows up in your Steam library, ready to install and play.
New to playtests? How Steam playtests work
About DraFG
Real-time frame generation without modifying the game
DraFG captures your game through normal operating-system APIs, generates additional frames, and presents the result through its own window or overlay.
No mods, engine hooks, code injection, or per-game integration required.
Built for smooth, low-latency motion
DraFG supports both interpolation and extrapolation, letting you choose between smoother motion reconstruction and lower-latency output.
Its Surge model family is designed for fast real-time generation, with support for multi-frame generation and adjustable interpolation buffering for different performance targets.
Game capture and offline video
Use DraFG in real time for games, or switch to Studio Mode to process existing video files.
Studio Mode supports:
- Frame interpolation
- Higher-frame-rate output
- Slow motion
- Multi-frame generation
Flexible performance tuning
Choose from resolutions ranging from 360p to 4K, including 16:10 and ultrawide formats.
You can adjust models, generation mode, resolution, buffering, upscaling, sharpening, capture source, and A/B passthrough while DraFG is running.
Live statistics help track generation time, frame pacing, frame-budget usage, and missed deadlines.
Native and cross-platform
DraFG is written in Rust as a native application, with no Python environment or external machine-learning framework required.
- Windows — CUDA, Vulkan
- macOS — Metal on Apple Silicon
- Linux — CUDA, Vulkan on KDE Plasma Wayland
From the game's Steam page.
