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:
- 1a13d53eae7e7bb83a12632b78d229233e73d0f135df7297c55c946b26b8033b
- Size of remote file:
- 1.47 MB
- SHA256:
- 618aac05b26b1627f015caafa7b0af87b05072066123e4194ba83b34be348367
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