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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 46e08c32309f5c35118b46bf1de61076e59b12f2df8898bac39a0bd44d235123
- Size of remote file:
- 3.44 GB
- SHA256:
- 98c761316ab772a13f284cfb81a96acffe4666e72010ae0d6de8af2cd8999a70
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