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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("meituan-longcat/LongCat-Video", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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license: mit
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library_name: LongCat-Video
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pipeline_tag: text-to-video
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---
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# LongCat-Video
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license: mit
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library_name: LongCat-Video
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pipeline_tag: text-to-video
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language:
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- en
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- zh
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# LongCat-Video
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