Professional-grade AI video frame interpolation and high-framerate conversion for fluid motion.
Flowframes is a sophisticated Windows-based GUI for AI video frame interpolation, built upon the VapourSynth engine. It leverages state-of-the-art neural networks including RIFE (Real-Time Intermediate Flow Estimation), FLAVR, and DAIN to generate synthetic frames between existing ones, effectively increasing video framerates with minimal artifacts. As of 2026, it remains the industry standard for creators seeking to convert 24fps or 30fps content to buttery-smooth 60fps or higher, and for producing high-fidelity slow-motion sequences. The architecture is highly optimized for hardware acceleration, utilizing NVIDIA CUDA (via TensorRT) and Vulkan to handle high-resolution 4K and 8K workflows. Its technical edge lies in its robust scene-change detection and frame deduplication logic, which prevents the 'ghosting' common in traditional optical flow methods. Flowframes serves a critical niche in the post-production market, bridging the gap between hobbyist tools and expensive enterprise motion-estimation software. Its open-source core combined with a low-cost, high-performance installer makes it the primary choice for animators, game videographers, and archival restoration specialists.
Flowframes is a sophisticated Windows-based GUI for AI video frame interpolation, built upon the VapourSynth engine.
Explore all tools that specialize in interpolate video frames. This domain focus ensures Flowframes delivers optimized results for this specific requirement.
Explore all tools that specialize in frame rate conversion. This domain focus ensures Flowframes delivers optimized results for this specific requirement.
Uses the latest Real-Time Intermediate Flow Estimation models for superior motion vectors.
Analyzes frame-to-frame pixel variance to detect hard cuts.
NVIDIA-specific optimization that compiles the AI model for the specific GPU architecture.
Automatically identifies and removes duplicate frames from poor-quality sources.
Distributes interpolation tasks across multiple local GPUs if available.
Flow-Agnostic Video Representations for complex motion that RIFE may struggle with.
Preserves transparency in PNG sequences during the interpolation process.
Download the Flowframes installer from the official NMKD itch.io page or GitHub.
Run the installer to set up the internal Python environment and VapourSynth dependencies.
Select the AI Model (RIFE is recommended for most 2026 hardware).
Choose the target hardware (NVIDIA CUDA, AMD/Intel Vulkan, or NCNN).
Drag and drop the source video into the input field.
Set the Interpolation Factor (e.g., 2x for 30fps to 60fps).
Configure 'Scene Detection' to avoid blending frames across camera cuts.
Select output encoding (NVENC H.265 or ProRes for high quality).
Run a benchmark to estimate processing time based on GPU VRAM.
Click 'Interpolate' to begin the rendering process.
All Set
Ready to go
Verified feedback from other users.
"Users praise its efficiency and the fact that it runs locally. It is widely considered the best free/low-cost alternative to Topaz Video AI for interpolation."
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Real-time video frame interpolation using intermediate flow estimation.
