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("nexuslrf/nd-diffusion", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Normal-Depth Diffusion Model

This is an unofficial export of the original normal-depth diffusion model (https://github.com/modelscope/normal-depth-diffusion) to the standard diffusers model format.

Can be direcetly loaded via diffusers' StableDiffusionPipeline

overview

All the credit to the original author of normal-depth diffusion model (https://github.com/modelscope/normal-depth-diffusion)

Downloads last month
8
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support