Instructions to use Rareshika/IOAI_CV_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rareshika/IOAI_CV_7 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_7", 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-2.ipynb from Rareshika/IOAI_CV_7: direct link, hf CLI and curl.
- Browser
- Download file 26.9 MB
-
https://huggingface.co/Rareshika/IOAI_CV_7/resolve/main/Rares_CV-2.ipynb
- Command line
-
hf download hf://Rareshika/IOAI_CV_7/Rares_CV-2.ipynb
-
curl -L -o Rares_CV-2.ipynb https://huggingface.co/Rareshika/IOAI_CV_7/resolve/main/Rares_CV-2.ipynb
26.9 MB
Rendering notebook...
- Xet hash:
- 4191f5716fac160d2c5ff972a735a518bd9ccde5951fb3c4cc5a3824e44ae7e0
- Size of remote file:
- 26.9 MB
- SHA256:
- bdf6e2c0726a825236ad2269182473d458dd114b0fd1a4649a5e10eceed27e32
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