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:
- a38824e3056531f099930c42b1c748206be2c488279268b7547873eabc4de059
- Size of remote file:
- 4.97 GB
- SHA256:
- 30a01a0556622645a3cce87b655bbbbbc1f170c196099f1b666c93202c3339a9
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