Instructions to use ShreeKanade07/quant_nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShreeKanade07/quant_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("ShreeKanade07/quant_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:
- 5e128d3156082eefceab9f1842a52b61f59d27f00a7e60b4321d0a897e667e80
- Size of remote file:
- 6.33 GB
- SHA256:
- 7650bd2d8c467071d9f530525af331b37b9439567f11cdd26c2f6689e1aec4a6
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