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:
- 2dbcd3f10b1228def09a84f2a7728a180b4c5ecdc1bdcb5371667b9e172cc7e0
- Size of remote file:
- 1.16 MB
- SHA256:
- 63cd950950c99c45884160201b4d66cbf8bfca3d56e0a6ef895211ce2f6c187f
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