Instructions to use nexuslrf/nd-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nexuslrf/nd-diffusion with Diffusers:
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] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 567 Bytes
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license: apache-2.0
language:
- en
library_name: diffusers
---
# 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`

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