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:
- dd2979f1a225be27d0a37f13fcd561d33ed6eddf4a052ccf558a8bcbc1786daa
- Size of remote file:
- 1.44 MB
- SHA256:
- 449cd0e0e42cd8c39266859c01630a58bf64a7459c97d5089a5f7ba76938d527
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