Instructions to use PeterD69/b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PeterD69/b 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("PeterD69/b") prompt = "A hyper-realistic portrait of a vpx man wearing iridescent neon armor, standing amidst the glowing flora of a bioluminescent alien jungle." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_1.png from PeterD69/b: direct link, hf CLI and curl.
- Browser
- Download file 1.23 MB
-
https://huggingface.co/PeterD69/b/resolve/main/sample_1.png
- Command line
-
hf download hf://PeterD69/b/sample_1.png
-
curl -L -o sample_1.png https://huggingface.co/PeterD69/b/resolve/main/sample_1.png
1.23 MB

- Xet hash:
- a4b57e5416d15bc85bb87cbcc097091b50f32bdf7a84580d6777d6fa0afddceb
- Size of remote file:
- 1.23 MB
- SHA256:
- 8db42147bfa6da1bdec59f5ea4e17a89a659e3c40907060994c68388470fc903
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