# numz/comfyui-seedvr2_videoupscaler

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2,549 stars · 195 forks · Python · Apache-2.0

## Links

- GitHub: https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler
- awesome-repositories: https://awesome-repositories.com/repository/numz-comfyui-seedvr2-videoupscaler.md

## Topics

`ai` `comfyui` `comfyui-nodes` `upscaler` `video-processing`

## Description

ComfyUI-SeedVR2_VideoUpscaler is an AI video upscaling tool that uses diffusion models to increase the resolution of videos and images while maintaining visual consistency across frames.

The project implements distributed video rendering by splitting datasets into chunks for parallel processing across multiple GPUs. It utilizes model compilation and specialized attention backends to reduce inference latency and increase throughput.

Additional capabilities include video color correction using wavelet and LAB matching methods to preserve color fidelity. Hardware memory is managed through block-based offloading and tiled-batch processing to prevent system crashes during high-resolution tasks.

Batch media processing can be automated via a command line interface to process directories of files.

## Tags

### Artificial Intelligence & ML

- [Video Super-Resolution Suites](https://awesome-repositories.com/f/artificial-intelligence-ml/image-super-resolution-models/video-super-resolution-suites.md) — Provides a complete software suite for upscaling video and image resolution using diffusion models. ([source](https://cdn.jsdelivr.net/gh/numz/comfyui-seedvr2_videoupscaler@main/README.md))
- [Multi-GPU Workload Distribution](https://awesome-repositories.com/f/artificial-intelligence-ml/model-optimization/inference-deployment/model-deployment-toolkits/distributed-deployment-utilities/multi-gpu-workload-distribution.md) — Distributes heavy media processing tasks across multiple GPUs to increase overall rendering throughput.
- [GPU Memory Optimizers](https://awesome-repositories.com/f/artificial-intelligence-ml/gpu-memory-optimizers.md) — Optimizes GPU memory and performance through model compilation and strategic data offloading.
- [Batch Processing](https://awesome-repositories.com/f/artificial-intelligence-ml/image-translation-pipelines/image-text-translators/batch-processing.md) — Provides a command line interface to automate the execution of upscaling pipelines across folders of media files. ([source](https://cdn.jsdelivr.net/gh/numz/comfyui-seedvr2_videoupscaler@main/README.md))
- [Model Inference Accelerators](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-deployment-and-serving/inference-servers-and-runtimes/model-inference-accelerators.md) — Accelerates model inference through model compilation and specialized attention backends to reduce processing latency. ([source](https://cdn.jsdelivr.net/gh/numz/comfyui-seedvr2_videoupscaler@main/README.md))
- [Model Compilation](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-optimization-and-inference/serving-and-runtime/inference-optimization-utilities/model-compilation.md) — Transforms model graphs into optimized machine code to reduce inference latency and increase frames-per-second.
- [Tiled Processing](https://awesome-repositories.com/f/artificial-intelligence-ml/tiled-processing.md) — Uses tiled processing to split large video frames into smaller spatial chunks for memory-efficient execution.
- [VRAM Offloading](https://awesome-repositories.com/f/artificial-intelligence-ml/vram-offloading.md) — Provides VRAM offloading by swapping model weights between GPU and system RAM to prevent out-of-memory errors.

### Graphics & Multimedia

- [Chunked Video Processing](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-manipulation/media-processing-workflows/video-transformation-enhancement/chunked-video-processing.md) — Segments large video datasets into smaller chunks for parallel processing across multiple GPUs.
- [Video Upscaling Pipelines](https://awesome-repositories.com/f/graphics-multimedia/video-upscaling-pipelines.md) — Implements a specialized video upscaling pipeline that increases resolution using generative diffusion models.
- [Batch Video Processing](https://awesome-repositories.com/f/graphics-multimedia/batch-video-processing.md) — Offers automated workflows for performing resolution enhancement across multiple video files via CLI.
- [Digital Color Correction](https://awesome-repositories.com/f/graphics-multimedia/digital-color-correction.md) — Implements digital color correction using LAB and wavelet matching to ensure natural colors in upscaled output. ([source](https://cdn.jsdelivr.net/gh/numz/comfyui-seedvr2_videoupscaler@main/README.md))