Instructions to use sdyy/nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sdyy/nf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sdyy/nf4", 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
- Xet hash:
- 95aca0918237cc16b2f3debb9b1963c322cfdeb42479cd9dfedec4d46dadd4be
- Size of remote file:
- 50.3 MB
- SHA256:
- 2214ae5d4c1e9e3c2b620da400540148ddc67350a87145417f360406fac76a85
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