Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
Paper • 2409.18124 • Published • 33
How to use jingheya/lotus-depth-g-v2-0-disparity with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("jingheya/lotus-depth-g-v2-0-disparity", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Developed by: Jing He✱, Haodong Li✱, Wei Yin, Yixun Liang, Leheng Li, Kaiqiang Zhou, Hongbo Zhang, Bingbing Liu, Ying-Cong Chen✉
Please refer to this page.