Instructions to use budecosystem/Chhavi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use budecosystem/Chhavi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("budecosystem/Chhavi", 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 demo.png from budecosystem/Chhavi: direct link, hf CLI and curl.
- Browser
- Download file 3.16 MB
-
https://huggingface.co/budecosystem/Chhavi/resolve/main/demo.png
- Command line
-
hf download hf://budecosystem/Chhavi/demo.png
-
curl -L -o demo.png https://huggingface.co/budecosystem/Chhavi/resolve/main/demo.png
3.16 MB

- Xet hash:
- f2bf6642817156370bd6571ffd541446c8e1dbdbe531ec8e55d294ed8677f50d
- Size of remote file:
- 3.16 MB
- SHA256:
- 5105f115b8ef0cb6384bd92e846a61860f4b86f754a88802a7b3e1ca76265caa
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