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", torch_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:
- ff0514a9cd40e336115df559a8abb54bc4d4f41c27660bec33e6326e73fc804a
- Size of remote file:
- 1.26 MB
- SHA256:
- a0a0758098bc81c520c2c9928e216de3c2f7a795bb76c7f2307d8876abc37cdd
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