Spaces:
Sleeping
Sleeping
| title: SwiftVR | |
| emoji: 🎬 | |
| colorFrom: indigo | |
| colorTo: yellow | |
| sdk: gradio | |
| sdk_version: "6.19.0" | |
| app_file: app.py | |
| short_description: Real-time one-step generative video restoration | |
| python_version: "3.10" | |
| startup_duration_timeout: 1h | |
| # SwiftVR: Real-Time One-Step Generative Video Restoration | |
| This Space demonstrates [SwiftVR](https://github.com/H-oliday/SwiftVR), the first generative video restoration model to reach real-time 1080p streaming on a consumer-grade GPU. | |
| ## How it works | |
| Upload a low-quality video and SwiftVR will restore and upscale it in a single forward pass — no iterative diffusion sampling needed. The model uses a one-step DiT (Diffusion Transformer) with a Restoration-aware Autoencoder (ReAE) and causal chunk-wise streaming. | |
| ## Links | |
| - [Paper (arXiv 2606.09516)](https://arxiv.org/abs/2606.09516) | |
| - [GitHub](https://github.com/H-oliday/SwiftVR) | |
| - [Model on Hugging Face](https://huggingface.co/H-oliday/SwiftVR) |