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:
- 04ffdb0276826f6fc3a57a7d018fdfa60a59eec126bb16e9d26fce2da9e6e4e8
- Size of remote file:
- 1.44 MB
- SHA256:
- 3753efc9005d74f9e98467c91d9353d3b9a2e74597bd11a2cfd96f31ee107fd8
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