Instructions to use marshallhamzah/EchoPath with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marshallhamzah/EchoPath with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("marshallhamzah/EchoPath", torch_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: apache-2.0
datasets:
- marshallhamzah/Echopath
language:
- en
Citation
BibTeX:
@misc{muhammad2025echopathpathologyconditionedechovideo, title={Echo-Path: Pathology-Conditioned Echo Video Generation}, author={Kabir Hamzah Muhammad and Marawan Elbatel and Yi Qin and Xiaomeng Li}, year={2025}, eprint={2509.17190}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2509.17190}, }