Instructions to use Kha37lid/khalidouaze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kha37lid/khalidouaze with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kha37lid/khalidouaze", 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 text_encoder/pytorch_model.bin from Kha37lid/khalidouaze: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Kha37lid/khalidouaze/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Kha37lid/khalidouaze/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Kha37lid/khalidouaze/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 8dc87cd28f5bb74b073d66374fa65d7c5ca3b9a6141c2c2ed7fc28388b7975ca
- Size of remote file:
- 246 MB
- SHA256:
- 2e9be974ec65af8c50beeb0d4af9d43a84893fe03e5d7d0151da5d55a98012e5
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