Spaces:
Running on Zero
Running on Zero
| title: FlashVSR+ Video Super-Resolution | |
| emoji: ⚡ | |
| colorFrom: red | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 6.30.0 | |
| app_file: app.py | |
| python_version: "3.12" | |
| startup_duration_timeout: 1h | |
| short_description: One-step video super-resolution at up to 4K | |
| **FlashVSR+** — *Efficient Video Super-Resolution via Hybrid Attention and Reward-Yield Distribution Matching* — super-resolves videos in a single diffusion step. This Space runs the official **turbo** preset (hybrid sliding attention + Triton block-sparse stream attention + TinyDecoder) from the [FlashVSR_Plus](https://github.com/OpenImagingLab/FlashVSR_Plus) codebase with the [ruchangyao/FlashVSR_plus](https://huggingface.co/ruchangyao/FlashVSR_plus) weights. | |
| ## How it works | |
| 1. Upload a video (any resolution/FPS; audio is preserved when present). | |
| 2. Pick the **output resolution** — the input is center-cropped and resized to this size, then super-resolved in place. Both output sides must be multiples of 128. | |
| 3. Optionally lower *temporal compression* to 2 or 1 for large-motion content (slower), or enable *color correction* to match low-frequency colors to the input. | |
| 4. Press **Super-resolve**. | |
| The requested height/width **is** the output resolution; FPS and audio of the input are kept. | |
| ## Technical notes | |
| - Inference runs one stream chunk (4 latent frames) at a time with `--decode-every 28` incremental decoding, bounding RAM so 4K output resolutions fit the ZeroGPU card. | |
| - Attention uses the project's vendored Triton block-sparse kernel (`flashvsr_attn`), plus the hybrid sliding attention of the turbo preset. | |
| - The example inputs are the videos shipped in the official repository (Apache-2.0). | |
| ## Citation | |
| ```bibtex | |
| @misc{yao2026flashvsrefficientvideosuperresolution, | |
| title={FlashVSR+: Efficient Video Super-Resolution via Hybrid Attention and Reward-Yield Distribution Matching}, | |
| author={Yao, Ruchang and others}, | |
| year={2026}, | |
| } | |
| ``` |