Instructions to use Rareshika/ROAI_proba_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rareshika/ROAI_proba_2 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/ROAI_proba_2", 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 notebook_roai_proba_2.ipynb from Rareshika/ROAI_proba_2: direct link, hf CLI and curl.
- Browser
- Download file 76.5 MB
-
https://huggingface.co/Rareshika/ROAI_proba_2/resolve/main/notebook_roai_proba_2.ipynb
- Command line
-
hf download hf://Rareshika/ROAI_proba_2/notebook_roai_proba_2.ipynb
-
curl -L -o notebook_roai_proba_2.ipynb https://huggingface.co/Rareshika/ROAI_proba_2/resolve/main/notebook_roai_proba_2.ipynb
76.5 MB
Rendering notebook...
- Xet hash:
- 234f25dcb12cbc3839af1aa51096e85295d601ac47db4f86f14f4c82ad33821d
- Size of remote file:
- 76.5 MB
- SHA256:
- dec8851bf7837ea73c4c0f8223e1ddcff3e1546d2fd0d8ff65a8783206eaaf15
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