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:
- ee5ec629a2c8060c1f6c3ed8207d405edbc338a0771be2d27ac132fab40ade7e
- Size of remote file:
- 98 MB
- SHA256:
- 261765edbf321e392c0ab224880a5d973c6a7ef474816aa48f89deba0c6d569e
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