Instructions to use Shrinivas4032/pagani-car with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shrinivas4032/pagani-car with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shrinivas4032/pagani-car", 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:
- 3bcc63ab269d2fa67f9eddc20d3d5a79ab4009ac0fde4763ed4c9b6ba574fa36
- Size of remote file:
- 246 MB
- SHA256:
- a12bdfa356d0f634fc5edfa356cf1d58994e0fc7290c3ce94d4d50bd03c0950b
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