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", 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:
- 567cc19f9ec9431c1300c5810c4503e74c7e0607b0dacca068fdd06b9cc38cfb
- Size of remote file:
- 166 kB
- SHA256:
- 855fdc33d79f1a9ddfa7c34c59328535e10af703f6ae820fe85436118374a21c
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