Instructions to use TensorVizion/VexKrea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TensorVizion/VexKrea 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("TensorVizion/VexKrea") prompt = "A futuristic cyborg samurai standing in the middle of a neon-drenched Tokyo street during a rainstorm, cinematic lighting, score_4." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- fac6d7d2f4c239515f41f7e762b757dc536832365f0de57a75897074e31c5efc
- Size of remote file:
- 1.55 MB
- SHA256:
- 35eb14060f4cc2e890aa42b01e0397d0658a848f5274c442c756ff9c5deb562e
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