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", torch_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
- Xet hash:
- 58e78a74223a7e00fe93050e7f70f8b75f024e5dc3603a494270e9dccea71751
- Size of remote file:
- 195 MB
- SHA256:
- e9a8bae04251f64cbd19d6c79333fbf1648b7417e11e5f1167470d8b9ebbf791
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