| title: SPEED | |
| emoji: 🌈 | |
| colorFrom: indigo | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 5.34.0 | |
| app_file: demo_hf/app.py | |
| pinned: false | |
| short_description: Training-free progressive sampling for FLUX & WAN 2.1 | |
| hardware: zero-a10g-large | |
| hf_oauth: false | |
| python_version: "3.11" | |
| # Training-free demo of Spectral Progressive Diffusion for Efficient Image and Video Generation | |
| - Project page: https://howardxiao.ca | |
| - Paper: https://arxiv.org/abs/2605.18736 | |
| ## Inputs | |
| Same arguments as the CLI release: | |
| - `prompt` | |
| - `transform` — `dct` (default) / `dwt` / `fft` | |
| - `scales` — comma-separated, e.g. `0.5,1.0`. Strictly increasing, ends at `1.0`. DWT requires every consecutive ratio = 2. | |
| - `delta` — noise-dominated tolerance (paper Eq. 9), default `0.01`. | |
| - `seed` | |
| - Modality-specific: `n_steps`, `height`, `width`, `guidance` (+ `num_frames`, `shift` for WAN 2.1). | |