Support for OPSD-V
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- Dominant language
- Python
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Description
Hi FastGen team,
Thank you for releasing this great framework!
We recently released [OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators](https://arxiv.org/abs/2607.08766). OPSD-V performs self-distillation under the student's actual inference-time rollout and KV cache, helping reduce error accumulation and motion degradation in long autoregressive video generation while preserving fast few-step inference.
Since FastGen already supports methods such as Self-Forcing and CausVid, we believe OPSD-V could also be relevant to this framework. Would you be interested in supporting OPSD-V or discussing a possible integration? We would be happy to contribute and provide implementation details.
- [Paper](https://arxiv.org/abs/2607.08766)
- [Project Page](https://meigen-ai.github.io/OPSD-V/)
- [Code](https://github.com/MeiGen-AI/OPSD-V)
Thank you!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the linked OPSD-V paper, project page, and implementation, then compare its inference-time rollout and KV-cache approach with FastGen's existing Self-Forcing and CausVid support. Done would require an agreed integration scope and working OPSD-V support, but this issue does not identify files, tests, or a concrete acceptance criterion.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100