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:
- 7160b15e80377f568f5209752e7992bbe47e2b16b7fc91c8230149c3c19ff080
- Size of remote file:
- 1.43 MB
- SHA256:
- dcc9feca6b208fe3848556f80693eb2ffedd0ae7dad902817a820964d7d46373
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