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license: apache-2.0
library_name: fastvideo
pipeline_tag: text-to-video
base_model: robbyant/lingbot-video-moe-30b-a3b
tags:
- fastvideo
- video-generation
- text-to-video
- mixture-of-experts
- lingbot-video
---
# LingBot-Video MoE 30B-A3B for FastVideo
This repository contains the released LingBot-Video MoE 30B-A3B base model and
its second-stage refiner in the component layout loaded natively by FastVideo.
## Usage
Use a FastVideo revision containing
[LingBot-Video support](https://github.com/hao-ai-lab/FastVideo/pull/1595):
```python
from fastvideo import VideoGenerator
generator = VideoGenerator.from_pretrained(
"FastVideo/LingBot-Video-MoE-30B-A3B-Diffusers",
num_gpus=8,
sp_size=8,
use_fsdp_inference=True,
refine_enabled=True,
text_encoder_cpu_offload=True,
)
result = generator.generate({
"prompt": "A red fox runs through fresh snow at sunrise.",
"output": {"output_path": "outputs/lingbot-video", "save_video": True},
})
generator.shutdown()
```
The released preset generates a 121-frame 832×480 base video and optionally
refines it to 1920×1088. Set `refine_enabled=False` when loading the model to run
the base MoE transformer without the refiner.
## Provenance
- Original model: https://huggingface.co/robbyant/lingbot-video-moe-30b-a3b
- Original code: https://github.com/robbyant/lingbot-video
- FastVideo port: https://github.com/hao-ai-lab/FastVideo/pull/1595
The original model and this converted package are distributed under the
Apache-2.0 license declared by the released checkpoint.
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