thu-ml / thu-ml/TurboDiffusion
DreamX-World: A General-Purpose Interactive World Model
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- Dominant language
- Python
- Stars
- 3.7k
- Forks
- 277
- Avg merge
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- Merged PRs (30d)
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Description
Hi TurboDiffusion team,
Your acceleration results are highly relevant to interactive world models.
We recently open-sourced AMAP-ML/DreamX-World, an interactive text/image-to-video world model where speed is tied not only to visual fidelity, but also to camera-following accuracy, scene memory, and stable autoregressive rollout.
In our setting, acceleration quality becomes especially important when users navigate through a generated world, revisit earlier viewpoints, or trigger promptable events over time.
If there is a suitable place for related community examples, we would be glad to contribute DreamX-World cases around fast controllable video generation and long-horizon consistency.
Thanks for the great work on efficient diffusion.
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Research direction
The issue proposes adding DreamX-World examples but names no files, tests, or entry points in TurboDiffusion. First clarify whether community examples are wanted and where they should live; the work is done only once a concrete example scope and integration location are agreed.
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Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100