Instructions to use andrew-healey/sharpdepth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use andrew-healey/sharpdepth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("andrew-healey/sharpdepth", 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
library_name: diffusers
license: apache-2.0
pipeline_tag: depth-estimation
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
This model belongs to the family of official Lotus models.
Developed by: Jing He✱, Haodong Li✱, Wei Yin, Yixun Liang, Leheng Li, Kaiqiang Zhou, Hongbo Zhang, Bingbing Liu, Ying-Cong Chen✉
Usage
Please refer to this page.

