DualParal-Project/DualParal
[AAAI 2026] Minute-Long Videos with Dual Parallelisms
This project helps AI researchers and machine learning engineers generate high-quality, minute-long videos from text prompts more efficiently. By using a distributed inference strategy, it takes a text description as input and produces a detailed, coherent video, significantly reducing the time and computational resources needed for video generation with Diffusion Transformers.
Use this if you are a researcher or engineer working with video diffusion models and need to generate long, high-quality videos quickly and with optimized computational resources.
Not ideal if you are looking for a user-friendly, out-of-the-box video creation tool for general artistic or marketing purposes without deep technical knowledge of AI models.
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Python
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Last pushed
Nov 12, 2025
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