Instructions to use Eggsbena/eggs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Eggsbena/eggs 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("Eggsbena/eggs") prompt = "A majestic snow leopard leaping across a jagged Himalayan cliffside during a swirling blizzard, captured in hyper-realistic detail e6gz" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_2.png from Eggsbena/eggs: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/Eggsbena/eggs/resolve/main/sample_2.png
- Command line
-
hf download hf://Eggsbena/eggs/sample_2.png
-
curl -L -o sample_2.png https://huggingface.co/Eggsbena/eggs/resolve/main/sample_2.png
1.37 MB

- Xet hash:
- 19dee43513a1dfefe229f9227576996fd56f36c83d589fbf0a82c2118b2f1b07
- Size of remote file:
- 1.37 MB
- SHA256:
- a3fb8aa718694c969efa7f204af271b586e4ff028b8ec964bb600c38ad2b39e3
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