thu-ml/DiT-Extrapolation
Official implementation for "RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers" (ICML 2025) , UltraViCo (ICLR 2026) and UltraImage
Implements plug-and-play length extrapolation for video diffusion transformers by modifying a single RoPE frequency parameter, enabling models like HunyuanVideo and CogVideoX to generate longer sequences (5sā11s) without retraining. Extends to high-resolution image generation through UltraImage branch and supports multiple inference backends including Diffusers, with pre-trained checkpoints available on HuggingFace. Integrates with ComfyUI and other inference frameworks, offering both single-GPU and multi-GPU inference options.
794 stars. Actively maintained with 1 commit in the last 30 days.
Stars
794
Forks
74
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 08, 2026
Commits (30d)
1
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