README.md

metadata

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).