Instructions to use LanguageBind/Open-Sora-Plan-v1.2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LanguageBind/Open-Sora-Plan-v1.2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LanguageBind/Open-Sora-Plan-v1.2.0", 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
Link models to paper, add tag
#4
by nielsr HF Staff - opened
Hi,
Niels here from the open-source team at HF. I found your work at https://huggingface.co/papers/2409.01199.
This PR ensures the models are linked to it, as well as making sure people can find the models at https://huggingface.co/models?pipeline_tag=text-to-video.
Cheers!