Instructions to use cdefghijkl/kekuatan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cdefghijkl/kekuatan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cdefghijkl/kekuatan", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from cdefghijkl/kekuatan: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/cdefghijkl/kekuatan/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://cdefghijkl/kekuatan/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cdefghijkl/kekuatan/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 6d25ecb58a3d6a7dd3869329555fe8e5a1a61941967afd2252c63f65b6f28410
- Size of remote file:
- 492 MB
- SHA256:
- 7c59cd5ebcf393e74ec4379e28770e04e002d6674b59eed1b7d0c133dfd57387
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