Instructions to use ukeeba/kk1-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ukeeba/kk1-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ukeeba/kk1-1", 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 unet/diffusion_pytorch_model.bin from ukeeba/kk1-1: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/ukeeba/kk1-1/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ukeeba/kk1-1/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ukeeba/kk1-1/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- f3da610e07b49404eb73b007d288e96761ee122ef22d2d34e1e1463aa48a31fd
- Size of remote file:
- 3.44 GB
- SHA256:
- f0d898fc52690ea9a2a6920701d9bc0ad54c2e9d07d8bcd05054f771b5c2db30
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