Instructions to use xkito/nilou-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xkito/nilou-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("xkito/nilou-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:
- cbfc76df4ea6562958089e8547d173c99f1111be9fa879c3ec1307e694211178
- Size of remote file:
- 492 MB
- SHA256:
- 5b1c770b5120266f3e0b000942177dd9372ef455b5867c7a279a45aa4096d7ab
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