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
| accelerate==1.14.0 | |
| diffusers==0.39.0 | |
| huggingface_hub==1.23.0 | |
| safetensors==0.8.0 | |
| transformers==5.8.1 | |
| git+https://github.com/Robbyant/lingbot-video.git@a2bb04b78edd848500dc27a26e035a95442ae186 | |
| git+https://github.com/Disty0/sdnq.git@d841c383ff7be38728d4df829e17af4f15d4fd66 | |