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FlashVSR

FREEyesDOCS3/5
FL5.7#16of 33

Ranked in AI Video Upscalers·Free plan

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About

FlashVSR is ranked #16 of 33 in AI video upscalers on Inferse. It runs on Self-hosted. There is a free plan.

Compared on AI video upscalers

Free plan
Yesgithub.com
Enhancement modes
v1; v1.1; full; tiny; tiny long videogithub.com
Batch processing
Yesgithub.com
Supported video formats
MP4; MOV; AVI; MKVgithub.com

Facts

Purpose
FlashVSR is a one-step diffusion framework for streaming video super-resolution.github.com · 9 Oct 2026
Performance
The project reports about 17 FPS for 768 × 1408 video on a single A100 GPU.github.com · 9 Oct 2026
Core methods
Its framework combines a three-stage distillation pipeline, locality-constrained sparse attention, and a tiny conditional decoder.github.com · 9 Oct 2026
Training dataset
VSR-120K is described as containing 120,000 videos and 180,000 images for joint image and video training.github.com · 9 Oct 2026
Recommended setting
The project is primarily designed and optimized for 4× video super-resolution, which it recommends for better results and stability.github.com · 9 Oct 2026
Model versions
The repository provides v1 and v1.1 model weights through Hugging Face, and recommends v1.1.github.com · 9 Oct 2026
Hardware requirements
The required Block-Sparse Attention backend is reported to work correctly on NVIDIA A100 and A800, while H200 runs with limited acceleration and compatibility on other listed GPUs is unknown.github.com · 9 Oct 2026
Install requirements
The setup instructions use Python 3.11.13 and require installing the Block-Sparse Attention backend.github.com · 9 Oct 2026
Community integrations
The README lists community ComfyUI implementations and WanVideoWrapper integration, and says WanVideoWrapper has known issues.github.com · 9 Oct 2026
Third-party inference
The README lists third-party cloud and API deployments and cautions that their model versions or pipeline completeness may differ from the official implementation.github.com · 9 Oct 2026
Quality limitation
The project says implementations without its sparse attention module may have noticeable quality degradation, especially at higher resolutions.github.com · 9 Oct 2026
License
The GitHub repository identifies its license as Apache-2.0.github.com · 9 Oct 2026
Support
The maintainers welcome feedback and issues, and list Junhao Zhuang as a contact.github.com · 9 Oct 2026

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Where it ranks on Inferse

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