Instructions to use ANIYA673/GenieDrive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ANIYA673/GenieDrive with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ANIYA673/GenieDrive", torch_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:
- ad80a117f6be3e37ccd3a1d964fca0bbb484cd3e474c69a7fa933cd873a51fe7
- Size of remote file:
- 3.34 GB
- SHA256:
- e9e9a69e537050048b4e702b7138eddbd0e31c1bd030d50c517cb78df3cceae4
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