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:
- 19e95308e52865d34b26b0139e75d11e0adfdd0ab1967bfdbc0428c7c80ef849
- Size of remote file:
- 372 kB
- SHA256:
- e912e744bbeb1df19a7dec88a498f717b25e16061f9c58653ec44b16c786d8e4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.