Instructions to use Chrishugging1/LongCat-Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Chrishugging1/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("Chrishugging1/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 Chrishugging1/LongCat-Video with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Chrishugging1/LongCat-Video", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
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