Official implementation for "RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers" (ICML 2025) , UltraViCo (ICLR 2026) and UltraImage
Generate long videos and high-resolution images using diffusion-transformer models with this implementation.
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Free · no card · unsubscribe anytimeOfficial implementation for "RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers" (ICML 2025) , UltraViCo (ICLR 2026) and UltraImage
DiT-Extrapolation has 820 stars on GitHub. It has been forked 75 times. DiT-Extrapolation is written mainly in Python. It has been in active development since 2025. DiT-Extrapolation is available under the Apache-2.0 license. Its main topics are cogvideox, diffusion, diffusion-models, diffusion-transformer.
Official implementation for "RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers" (ICML 2025) , UltraViCo (ICLR 2026) and UltraImage
DiT-Extrapolation is an open-source project. It is released under the Apache-2.0 license.
Yes. DiT-Extrapolation is free and open source — you can use, modify and self-host it.
DiT-Extrapolation is available under the Apache-2.0 license.
DiT-Extrapolation is written mainly in Python.
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