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
| { | |
| "_class_name": "FlowMatchEulerDiscreteScheduler", | |
| "_diffusers_version": "0.33.0.dev0", | |
| "shift": 12.0, | |
| "use_dynamic_shifting": false, | |
| "invert_sigmas": false, | |
| "time_shift_type": "linear" | |
| } | |