thu-ml / Causal-Forcing
[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal Forcing++
Why this job: says: distillation; topics: distillation
What it does
The Causal Forcing series uses Causal ODE or Causal Consistency Distillation to drive asymmetric DMD as a theoretically correct initialization for real-time interactive video generation. Refer to this extension for long video generation.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 16 days ago
- Stars
- 1,027
- +9 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 40% closed
- 33 still open
- Pull requests
- 1 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- auto-regressive-diffusion-model
- autoregressive-models
- consistency-models
- diffusion
- diffusion-models
- distillation
- few-step-generation
- generative-ai
- video-diffusion-model
- video-generation
- wan-video
- wan2
Project record
- JobFine-tuning
- StatusFeatured
- Commits139
- Forks62
- Watching10
- Stars in 28 days+28
- CreatedFeb 1, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026