Instructions to use Kiaavash/behrang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kiaavash/behrang with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kiaavash/behrang") prompt = "A cinematic close-up of Behrang as a futuristic cybernetic explorer standing on the neon-lit streets of a rainy Tokyo in 2099." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_2.png from Kiaavash/behrang: direct link, hf CLI and curl.
- Browser
- Download file 1.6 MB
-
https://huggingface.co/Kiaavash/behrang/resolve/main/sample_2.png
- Command line
-
hf download hf://Kiaavash/behrang/sample_2.png
-
curl -L -o sample_2.png https://huggingface.co/Kiaavash/behrang/resolve/main/sample_2.png
1.6 MB

- Xet hash:
- 38db1ba99ce82d7cad31a536c928f04fbd22058831cf58e185c81c5a26b5d5b8
- Size of remote file:
- 1.6 MB
- SHA256:
- 2fad78f84b560b395bcf362047bd929eb1aa440fd0536c6c569820d17e8caed0
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