numz/ComfyUI-SeedVR2_VideoUpscaler

Features

• Video Super-Resolution Suites - Provides a complete software suite for upscaling video and image resolution using diffusion models.
• Multi-GPU Workload Distribution - Distributes heavy media processing tasks across multiple GPUs to increase overall rendering throughput.
• Chunked Video Processing - Segments large video datasets into smaller chunks for parallel processing across multiple GPUs.
• Video Upscaling Pipelines - Implements a specialized video upscaling pipeline that increases resolution using generative diffusion models.
• GPU Memory Optimizers - Optimizes GPU memory and performance through model compilation and strategic data offloading.
• Batch Processing - Provides a command line interface to automate the execution of upscaling pipelines across folders of media files.
• Model Inference Accelerators - Accelerates model inference through model compilation and specialized attention backends to reduce processing latency.
• Model Compilation - Transforms model graphs into optimized machine code to reduce inference latency and increase frames-per-second.
• Tiled Processing - Uses tiled processing to split large video frames into smaller spatial chunks for memory-efficient execution.
• VRAM Offloading - Provides VRAM offloading by swapping model weights between GPU and system RAM to prevent out-of-memory errors.
• Batch Video Processing - Offers automated workflows for performing resolution enhancement across multiple video files via CLI.
• Digital Color Correction - Implements digital color correction using LAB and wavelet matching to ensure natural colors in upscaled output.

Star history