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
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library_name: diffusers
license: apache-2.0
pipeline_tag: depth-estimation
---
# Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
<!-- Provide a quick summary of what the model is/does. -->
This model belongs to the family of official Lotus models.
[](https://lotus3d.github.io/)
[](https://arxiv.org/abs/2409.18124)
[](https://huggingface.co/spaces/haodongli/Lotus)
[](https://github.com/EnVision-Research/Lotus)
Developed by:
[Jing He](https://scholar.google.com/citations?hl=en&user=RsLS11MAAAAJ)<span style="color:red;">✱</span>,
[Haodong Li](https://haodong-li.com/)<span style="color:red;">✱</span>,
[Wei Yin](https://yvanyin.net/),
[Yixun Liang](https://yixunliang.github.io/),
[Leheng Li](https://len-li.github.io/),
[Kaiqiang Zhou](),
[Hongbo Zhang](),
[Bingbing Liu](https://scholar.google.com/citations?user=-rCulKwAAAAJ&hl=en),
[Ying-Cong Chen](https://www.yingcong.me/)✉


## Usage
Please refer to this [page](https://github.com/EnVision-Research/Lotus). |