Instructions to use Raxephion/Xenomorph-V1-Krea2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Raxephion/Xenomorph-V1-Krea2 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("Raxephion/Xenomorph-V1-Krea2") prompt = "Sample #1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 1954285f18bc5ce9769c21757a0f750b1d21a4ffbf6dfe076582b3568414637e
- Size of remote file:
- 1.48 MB
- SHA256:
- 3f3c1d15ab75f0d59ad010800f733e8443fc3a7f013ad135cae5513fb37c4d2d
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