Instructions to use Rareshika/IOAI_CV_18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rareshika/IOAI_CV_18 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_18", 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_18: direct link, hf CLI and curl.
- Browser
- Download file 27.5 MB
-
https://huggingface.co/Rareshika/IOAI_CV_18/resolve/main/Copy_of_Rares_CV.ipynb
- Command line
-
hf download hf://Rareshika/IOAI_CV_18/Copy_of_Rares_CV.ipynb
-
curl -L -o Copy_of_Rares_CV.ipynb https://huggingface.co/Rareshika/IOAI_CV_18/resolve/main/Copy_of_Rares_CV.ipynb
27.5 MB
Rendering notebook...
- Xet hash:
- c8a1ea3aeec6126680163172513dc7f55113ec5a24ad8833103326dd85ddb898
- Size of remote file:
- 27.5 MB
- SHA256:
- cde960a04278b21169c17643710d9db3ab0c7c9714e7b77202a3714628f7ec7b
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