Instructions to use WaveCut/LingBot-Video-Dense-1.3B-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-Dense-1.3B-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-Dense-1.3B-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
| { | |
| "_class_name": "LingBotVideoPipeline", | |
| "_diffusers_version": "0.37.1", | |
| "transformer": [ | |
| "lingbot_video.transformer_lingbot_video", | |
| "LingBotVideoTransformer3DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLWan" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen3VLForConditionalGeneration" | |
| ], | |
| "processor": [ | |
| "transformers", | |
| "Qwen3VLProcessor" | |
| ], | |
| "scheduler": [ | |
| "lingbot_video.scheduling_flow_unipc", | |
| "FlowUniPCMultistepScheduler" | |
| ] | |
| } | |