Instructions to use aimalias/k4td with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/k4td 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/k4td") prompt = "TOK" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 88437a65a4a17920f94b872545b78f08d7a531bcf71c39545f39f0c90b1b2ccf
- Size of remote file:
- 1.33 MB
- SHA256:
- 204ba389bbcaae98a33e1af8ef996f2c8ab994ac7ba33bb0778fdf7c6d28c44b
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