OPSD V
This repository hosts checkpoints for OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators.
Model source
- Kind
- Other
- File size
- 2.61–5.29 GB
- Version
- vRevision 3dfdd27
- Updated
- Oct 8, 2026
- Downloads
- 9
- Source
- Hugging Face
Source description
OPSD-V Checkpoints
This repository hosts checkpoints for OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators.
- Project page: https://kumapowerliu.github.io/opsd-v/
- Paper: https://kumapowerliu.github.io/opsd-v/assets/opsdv.pdf
- Code: https://github.com/MeiGen-AI/opsd-v
Download
Install the Hugging Face Hub CLI and download the complete checkpoint repository into the root of the OPSD-V code release:
pip install -U "huggingface_hub[cli]"
hf download MeiGen-AI/OPSD-V --local-dir .
Alternatively, use Python:
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="MeiGen-AI/OPSD-V",
local_dir=".",
)
Files
| Path | Description |
|---|---|
checkpoints/longlive_base.pt | LongLive base few-step autoregressive generator. |
checkpoints/longlive_lora.pt | Original LongLive LoRA adapter used as the starting point. |
checkpoints/opsdv_longlive_lora.pt | OPSD-V LoRA checkpoint for the LongLive backbone. |
checkpoints/self_forcing_dmd_ema_as_generator.pt | Self-Forcing DMD/EMA generator used as the base model. |
checkpoints/opsdv_self_forcing_lora.pt | OPSD-V LoRA checkpoint for the Self-Forcing backbone. |
Usage
Place these files under the checkpoints/ directory of the OPSD-V code release and use the provided training or inference configs.
checkpoints/
longlive_base.pt
longlive_lora.pt
opsdv_longlive_lora.pt
self_forcing_dmd_ema_as_generator.pt
opsdv_self_forcing_lora.pt
See the code repository README for detailed setup, inference, and training commands.
Citation
@misc{liu2026opsdv,
title = {OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators},
author = {Liu, Hongyu and Wang, Chun and Gao, Feng and He, Xuanhua and Ma, Yue and Wan, Ziyu and Zhang, Yong and Wei, Xiaoming and Chen, Qifeng},
year = {2026},
note = {Preprint}
}
License
The OPSD-V code release is Apache-2.0. Please also follow the licenses and usage terms of the corresponding upstream models and datasets.
Sources
1 source
Sources
1 sourceVerified Sep 14
Model artifacts
5 artifacts
Model artifacts
5 artifactsSource excerpts
3 excerpts
Source excerpts
3 excerpts--- license: apache-2.0 tags: - text-to-video - video-generation - autoregressive-video-generation - self-distillation - lora pipeline_tag: text-to-video --- # OPSD-V Checkpoints This repository hosts checkpoints for **OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators**. - Project page: https://kumapowerliu.github.io/opsd-v/ - Paper: https://kumapowerliu.github.io/opsd-v/assets/opsdv.pdf - Code: https://github.com/MeiGen-AI/opsd-v ## Download Install the Hugging Face Hub CLI and download the complete checkpoint repository into the root of the OPSD-V code release: ```bash pip install -U "huggingface_hub[cli]" hf download MeiGen-AI/OPSD-V --local-dir . ``` Alternatively, use Python: ```python from huggingface_hub import snapshot_download snapshot_download( repo_id="MeiGen-AI/OPSD-V", local_dir=".", ) ``` ## Files | Path | Description | | --- | --- | | `checkpoints/longlive_base.pt` | LongLive base few-step autoregressive generator. | | `checkpoints/longlive_lora.pt` | Original LongLive LoRA adapter used as the starting point. | | `checkpoints/opsdv_longlive_lora.pt` | OPSD-V LoRA checkpoint for the LongLive backbone. | | `checkpoints/self_forcing_dmd_ema_as_generator.pt` | Self-Forcing DMD/EMA generator used as the base model. | | `checkpoints/opsdv_self_forcing_lora.pt` | OPSD-V LoRA checkpoint for the Self-Forcing backbone. | ## Usage Place these files under the `checkpoints/` directory of the OPSD-V code release and use the provided training or inference configs. ```text checkpoints/ longlive_base.pt longlive_lora.pt opsdv_longlive_lora.pt self_forcing_dmd_ema_as_generator.pt opsdv_self_forcing_lora.pt ``` See the code repository README for detailed setup, inference, and training commands. ## Citation ```bibtex @misc{liu2026opsdv, title = {OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators}, author = {Liu, Hongyu and Wang, Chun and Gao, Feng and He, Xuanhua and Ma, Yue and Wan, Ziyu and Zhang, Yong and Wei, Xiaoming and Chen, Qifeng}, year = {2026}, note = {Preprint} } ``` ## License The OPSD-V code release is Apache-2.0. Please also follow the licenses and usage terms of the corresponding upstream models and datasets.
Source context: 9 downloads · 2 likes · Pipeline text-to-video · Repo MeiGen-AI/OPSD-V
Source context: 26 downloads · 2 likes · Pipeline text-to-video · Repo MeiGen-AI/OPSD-V
