Instructions to use aimalias/t1tfuck-kreia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/t1tfuck-kreia 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("aimalias/t1tfuck-kreia") prompt = "TOK" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- fee4b95251e6e653dcf49d9f9923e8021742f27a967395bd544728eb2d363a31
- Size of remote file:
- 1.35 MB
- SHA256:
- 26f053b22e31786afaf8005f0b17ae8f73606e48bb3b56b9092608e48b9b0c75
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