Instructions to use Kutefvsadgasdg/ad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kutefvsadgasdg/ad with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kutefvsadgasdg/ad", 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:
- 4cfc0d5ee9fa386ff93410016daaba2ac90bbd426bfeba399250ae2764a55ea9
- Size of remote file:
- 103 MB
- SHA256:
- bda9289db1bb6762d978b42d1c62ae3f34daf7497171a347a1d09657efd788cb
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