Instructions to use Motif-Technologies/Motif-Video-2B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Motif-Technologies/Motif-Video-2B-GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Motif-Technologies/Motif-Video-2B-GGUF", 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:
- ae2be1c0bc1a54622ec14c4f5b5c5565ad48876dae83c9ebcc97b5bddfb67b7b
- Size of remote file:
- 6.13 MB
- SHA256:
- f09c1c7af0d642fb5f28ff72ec8bdc5ee0034803fe2c00a9605b3ad8dd6dd93c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.