Instructions to use WaveCut/LingBot-Video-MoE-30B-A3B-SDNQ-uint4-static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/LingBot-Video-MoE-30B-A3B-SDNQ-uint4-static with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/LingBot-Video-MoE-30B-A3B-SDNQ-uint4-static", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
LingBot-Video-MoE-30B-A3B-SDNQ-uint4-static / samples /refiner-original /01_arctic_research_drone.mp4
- Xet hash:
- f66aea272f5af890c6fd591041f496b4a3b29cd6cff6a77d7b90849d4debaf4c
- Size of remote file:
- 1.95 MB
- SHA256:
- b3bdfa0eaa7f4a3b9cbc3627f15f144b2416778f5160e3242bb2fc1ff284a7de
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