Instructions to use Rareshika/IOAI_CV_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rareshika/IOAI_CV_8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rareshika/IOAI_CV_8", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download Copy_of_Rares_CV.ipynb from Rareshika/IOAI_CV_8: direct link, hf CLI and curl.
- Browser
- Download file 41.9 MB
-
https://huggingface.co/Rareshika/IOAI_CV_8/resolve/main/Copy_of_Rares_CV.ipynb
- Command line
-
hf download hf://Rareshika/IOAI_CV_8/Copy_of_Rares_CV.ipynb
-
curl -L -o Copy_of_Rares_CV.ipynb https://huggingface.co/Rareshika/IOAI_CV_8/resolve/main/Copy_of_Rares_CV.ipynb
41.9 MB
Rendering notebook...
- Xet hash:
- 5942a1f176191e359506105f60fe6d9f32df91a72123116509e7b07a9ce80c1b
- Size of remote file:
- 41.9 MB
- SHA256:
- c4f48503672f54e7ba08bdc74704fa75396953fbed011c1fdf86706de23f72f8
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