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:
- 8a2a2286e9a5e3a601ef9676b1ad807510445989b12dc6f71abf0779af9489c7
- Size of remote file:
- 195 MB
- SHA256:
- 264ac2784a5aed9b4e2219e761a84d93ba214240773dea6f0676a6b27cbe8e3b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.