Instructions to use MuhammadAfgan/Afgan_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MuhammadAfgan/Afgan_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MuhammadAfgan/Afgan_diffusers", 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:
- d4935ee412478593b2e0f9a27e1f73e6323d7a1abe24f66b7d3706d70a021878
- Size of remote file:
- 74.2 MB
- SHA256:
- c480528048d99da2318c9809b47eba8f62f66f61e6bd63d8ad952b3f0d8a56b9
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