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jingheya
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lotus-depth-d-v1-1

Depth Estimation
Diffusers
Safetensors
LotusDPipeline
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How to use from the
Use from the
Diffusers library
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-d-v1-1", 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.

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