Text-to-Video
Diffusers
Safetensors
Transformers
English
Chinese
image-to-video
video-continuation
Eval Results
Instructions to use meituan-longcat/LongCat-Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use meituan-longcat/LongCat-Video with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("meituan-longcat/LongCat-Video", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Transformers
How to use meituan-longcat/LongCat-Video with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("meituan-longcat/LongCat-Video", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Add model-index eval results (internal MOS) to model card
#19
by Alextokenizin7873 - opened
Adds structured model-index metadata with LongCat-Video Text-to-Video and Image-to-Video MOS scores from the technical report (arXiv:2510.22200), matching the tables already in the card. Other metadata fields were already present and are unchanged.