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
- Xet hash:
- 5e40ee39891477bfb87d7b9373be63d5e88fc56458efb7fb3a72c95b7e374a92
- Size of remote file:
- 138 kB
- SHA256:
- 7b6909a2aa49397f574338560cce4a3e47bb1930e55304f897523fa436fe7333
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