Skip to content

Getting Started

System Requirements

anelo runs on your local GPU. Processing speed scales directly with GPU capability — faster hardware produces faster results, but the same output quality is available on entry-level hardware.

Minimum requirements

The minimum configuration runs all pipeline stages but at reduced speed. Expect roughly 4x longer processing times compared to the recommended configuration.

Recommended requirements

The recommended configuration processes a full hour of 4K content in approximately 8 minutes, including depth estimation and stereo conversion.

GPU memory considerations

VRAM is the most common bottleneck. At 4K resolution, depth estimation requires approximately 4GB of VRAM. Upscaling with Real-ESRGAN requires approximately 6GB. If your GPU has less than 8GB, the pipeline automatically tiles large frames to fit within available memory at the cost of some speed.

Disk space

anelo itself requires approximately 2GB of disk space. Processing generates intermediate frame sequences (PNG format) that can be large. A 1-hour 4K video produces approximately 50GB of intermediate frames. Ensure you have sufficient free space on your output drive.

Settings reference

GPU (minimum)

hardware

NVIDIA GTX 1060 6GB / AMD RX 580 8GB

CUDA 11.8+ or ROCm 5.4+ required

GPU (recommended)

hardware

NVIDIA RTX 3060 12GB or better

RTX 4090 24GB for fastest 4K processing

CPU

hardware

4-core x86_64

Used for frame extraction and encoding. GPU does the heavy lifting.

RAM

hardware

8GB minimum, 16GB recommended

More RAM helps with large batch queues and 4K frame buffering

Disk

hardware

2GB for app, 10GB+ working space

SSD recommended for intermediate frame I/O

OS

software

Windows 10+, macOS 12+, Ubuntu 22.04+

Other Linux distros work but are not officially tested