Instructions to use Rareshika/IOAI_CV_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rareshika/IOAI_CV_6 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_6", 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 Rares_CV.ipynb from Rareshika/IOAI_CV_6: direct link, hf CLI and curl.
- Browser
- Download file 41.2 MB
-
https://huggingface.co/Rareshika/IOAI_CV_6/resolve/main/Rares_CV.ipynb
- Command line
-
hf download hf://Rareshika/IOAI_CV_6/Rares_CV.ipynb
-
curl -L -o Rares_CV.ipynb https://huggingface.co/Rareshika/IOAI_CV_6/resolve/main/Rares_CV.ipynb
41.2 MB
Rendering notebook...
- Xet hash:
- e301275da9b3e1da74bbc19ad2f1a0a935693bf868444a12b80b719397cd0482
- Size of remote file:
- 41.2 MB
- SHA256:
- ac4fee4dc8c0e9744069d2cfb1e1d96ef787af2a1e220bfff28f4d7aa8d23ff2
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