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
Download eval_insertion/CAM_BACK_RIGHT.mp4 from ANIYA673/GenieDrive: direct link, hf CLI and curl.
- Browser
- Download file 262 kB
-
https://huggingface.co/ANIYA673/GenieDrive/resolve/main/eval_insertion/CAM_BACK_RIGHT.mp4
- Command line
-
hf download hf://ANIYA673/GenieDrive/eval_insertion/CAM_BACK_RIGHT.mp4
-
curl -L -o CAM_BACK_RIGHT.mp4 https://huggingface.co/ANIYA673/GenieDrive/resolve/main/eval_insertion/CAM_BACK_RIGHT.mp4
262 kB
- Xet hash:
- c44b5d67a8917f343fcb5a4ddef86065fe530ec2fdfb69e5ce779cd53c3c0d5f
- Size of remote file:
- 262 kB
- SHA256:
- 13064994a6850f34157a56360ff09506201b64e8e2236a94e96f5167ef6c836e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.