OpenImagingLab/FlashVSR
[CVPR 2026] Towards Real-Time Diffusion-Based Streaming Video Super-Resolution — An efficient one-step diffusion framework for streaming VSR with locality-constrained sparse attention and a tiny conditional decoder.
⚡ Executive Summary & Quick Facts
Authoritative SourceFlashVSR is FlashVSR is an open-source project written in Python: [CVPR 2026] Towards Real-Time Diffusion-Based Streaming Video Super-Resolution — An efficient one-step diffusion framework for streaming VSR with locality-constrained sparse attention and a tiny conditional decoder..
| Repository | OpenImagingLab/FlashVSR ↗ |
|---|---|
| Primary Category | diffusion models |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.9K stars · ⑂ 161 forks · #4,433 globally |
| Maintenance | ● Active (Last commit: Oct 15, 2026) · 77 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+48
STARS · LAST 30 DAYS
2
PER DAY
#611
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +14 | +48 | +180 |
| Per day | 2 | 2 | 2 |
| Forks gained | +1 | +3 | +10 |
FlashVSR gained 48 stars in the last 30 days, about 2 a day, and now has 1.9K. It is about 1 year old and has averaged roughly 1.9K stars a year. It ranks #611 among Python repositories and #4,433 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#6226
BEST RANK
Oct 15, 2026
FIRST APPEARANCE
Active
STATUS TODAY
FlashVSR has maintained a continuous presence across global trending indexes, peaking at #6226. Below is the 30-day activity profile:
💡 Overview
FlashVSR is an open-source project written in Python: [CVPR 2026] Towards Real-Time Diffusion-Based Streaming Video Super-Resolution — An efficient one-step diffusion framework for streaming VSR with locality-constrained sparse attention and a tiny conditional decoder.
Engineered for speed, consistency, and developer ease, it solves common hurdles in diffusion-models, video-restoration, video-super-resolution. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install FlashVSR⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
FlashVSR coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed FlashVSR into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
🚀 Getting Started
Install FlashVSR using your package manager: `pip install FlashVSR`
Initialize your project workspace or configuration file for FlashVSR.
Import FlashVSR into your codebase or invoke it directly from your terminal.
Execute your test suite or run `FlashVSR --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
OpenImagingLab/FlashVSR is currently ranked #4,433 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does FlashVSR do? +
[CVPR 2026] Towards Real-Time Diffusion-Based Streaming Video Super-Resolution — An efficient one-step diffusion framework for streaming VSR with locality-constrained sparse attention and a tiny conditional decoder.
What language is FlashVSR written in? +
The primary language is Python. Topics include: diffusion-models, video-restoration, video-super-resolution.
Is FlashVSR actively maintained? +
Yes, the last recorded push was on Oct 15, 2026 with 77 open issues being tracked.
How many stars does FlashVSR have? +
FlashVSR has 1,917 stars and 161 forks on GitHub.
How does FlashVSR rank among GitHub repositories? +
With 1,917 stars, OpenImagingLab/FlashVSR is ranked #4,433 globally across all repositories tracked on GitHubRepo and #611 among Python projects.
What license is FlashVSR distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
