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_LEFT.mp4 from ANIYA673/GenieDrive: direct link, hf CLI and curl.
- Browser
- Download file 363 kB
-
https://huggingface.co/ANIYA673/GenieDrive/resolve/main/eval_insertion/CAM_BACK_LEFT.mp4
- Command line
-
hf download hf://ANIYA673/GenieDrive/eval_insertion/CAM_BACK_LEFT.mp4
-
curl -L -o CAM_BACK_LEFT.mp4 https://huggingface.co/ANIYA673/GenieDrive/resolve/main/eval_insertion/CAM_BACK_LEFT.mp4
363 kB
- Xet hash:
- b7215f048cd1dd98b1fdb1099af91b0541fa443dbbdd7611a8dcf89615f660ea
- Size of remote file:
- 363 kB
- SHA256:
- 5fc95e51dedf98b445383b7562643674cdd7398181894b4b15412950b89ad51a
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