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:
- c29ceb26e40108ff4b90eca64a964369ddb68832e707f4abb94a0e749c43361a
- Size of remote file:
- 1.4 MB
- SHA256:
- 5293ed0ea850b2166fe363dc803fa759d6c4d64024899a5628719220a2bb76a4
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