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OPSD V

This repository hosts checkpoints for OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators.

TipoOtherVersiónRevision 3dfdd27Dcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
2,61–5,29 GB
Versión
vRevision 3dfdd27
Actualizado
8 oct 2026
Descargas
9
Fuente
Hugging Face

Descripción de la fuente

OPSD-V Checkpoints

This repository hosts checkpoints for OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators.

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

PathDescription
checkpoints/longlive_base.ptLongLive base few-step autoregressive generator.
checkpoints/longlive_lora.ptOriginal LongLive LoRA adapter used as the starting point.
checkpoints/opsdv_longlive_lora.ptOPSD-V LoRA checkpoint for the LongLive backbone.
checkpoints/self_forcing_dmd_ema_as_generator.ptSelf-Forcing DMD/EMA generator used as the base model.
checkpoints/opsdv_self_forcing_lora.ptOPSD-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.

Fuentes

1 fuente
Hugging FacePrincipalVersión 3dfdd27e7ba8d37010c834f7f448707c31f46faa
huggingface.co/MeiGen-AI/OPSD-V/tree/3dfdd27e7ba8d37010c834f7f448707c31f46faa

Verificado 14 sept

Artefactos del modelo

5 artefactos

checkpoints/longlive_base.pt

pt · 5,29 GB · SHA-256 10a2aa8fcf89…8ee7 · Hugging Face

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checkpoints/longlive_lora.pt

pt · 2,61 GB · SHA-256 c4e43b87d62d…c07a · Hugging Face

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checkpoints/opsdv_longlive_lora.pt

pt · 5,22 GB · SHA-256 69ffe3013766…0845 · Hugging Face

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checkpoints/opsdv_self_forcing_lora.pt

pt · 5,22 GB · SHA-256 4712e4ff044d…330e · Hugging Face

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checkpoints/self_forcing_dmd_ema_as_generator.pt

pt · 5,29 GB · SHA-256 ac3a7e21fc26…da78 · Hugging Face

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Extractos de fuentes

3 extractos

--- 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