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-3.ipynb from Rareshika/IOAI_CV_7: direct link, hf CLI and curl.
- Browser
- Download file 35.7 MB
-
https://huggingface.co/Rareshika/IOAI_CV_7/resolve/main/Rares_CV-3.ipynb
- Command line
-
hf download hf://Rareshika/IOAI_CV_7/Rares_CV-3.ipynb
-
curl -L -o Rares_CV-3.ipynb https://huggingface.co/Rareshika/IOAI_CV_7/resolve/main/Rares_CV-3.ipynb
35.7 MB
Rendering notebook...
- Xet hash:
- 3095a73ef7bb65f206881a7768541851118f446ee3557d133f83c39ae9708b1f
- Size of remote file:
- 35.7 MB
- SHA256:
- ee32eeb1fa36eedeeae7a77d07d10d6c6a42da862ad52b569ceb2e7fa73c181b
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