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
- Xet hash:
- 7c065e5b3b7cf7a6efd29071e793ccf428e7ad96155a93d780133e9393274bc0
- Size of remote file:
- 335 MB
- SHA256:
- 60a56c6c5d0501af98fbd9f221edcb74b22d6cf44e24c98067a6c04c19372294
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