Instructions to use KyleLackinger/kylack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KyleLackinger/kylack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KyleLackinger/kylack", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 92fba29f3ba46d280d373e837c723ab6302f7fd23bef484346cf71dfc5df6b67
- Size of remote file:
- 246 MB
- SHA256:
- 68bb259f885511294b826c704ab9fff04d0e561366cd40a680da9abd1df39364
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