Instructions to use rickakkerman/InterDyn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rickakkerman/InterDyn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rickakkerman/InterDyn", 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
metadata
license: other
license_name: license
license_link: LICENSE
Rick Akkerman1,2*,
Haiwen Feng1*†,
Michael J. Black1,
Dimitrios Tzionas2,
Victoria Fernández Abrevaya1
1 Max Planck Institute for Intelligent Systems, Tübingen, Germany
2 University of Amsterdam, the Netherlands
* equal contribution † project lead