Instructions to use Eyeline-Labs/Go-with-the-Track with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Eyeline-Labs/Go-with-the-Track with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Eyeline-Labs/Go-with-the-Track", 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
Add model card, paper, and repository links
#1
by nielsr HF Staff - opened
This pull request adds a comprehensive model card for Go-with-the-Track (SIGGRAPH 2026).
It includes:
- Metadata for the
image-to-videopipeline tag andapache-2.0license. - Links to the paper, project page, and official GitHub repository.
- A quick-start guide covering environment setup, downloading model checkpoints, and running inference (480P).
- The official BibTeX citation for the paper.