Instructions to use aimalias/k4t-krea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/k4t-krea 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/k4t-krea") prompt = "A K4TD woman wearing futuristic neon armor, standing in the middle of a rain-slicked cyberpunk street filled with glowing holographic advertisements." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b68a0790caab410e3b6962420189f14f743859475e96f164150a60bad29e9c54
- Size of remote file:
- 195 MB
- SHA256:
- c94f00f6bf24013bfefbfdc07a25eeeccc61aafab7c171891b6de9f5f1ee61ae
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