Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
Paper • 2409.18124 • Published • 33
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("jingheya/lotus-normal-d-v1-0", torch_dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]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.
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