Instructions to use JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints", 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:
- 1cc2031661080cf926791605d802fb2fdeee15e0fffb5d76c860749ca16b678f
- Size of remote file:
- 34.4 MB
- SHA256:
- cb9140fae3ac5122c972d37adf83e1248471a38147ad76f8215c8872c6fd8322
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.