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:
- dea9303f76ad5b0914e46bd6b9ebe14289cd6dd1fc9f2d2b810d6a34384ffa27
- Size of remote file:
- 3.44 GB
- SHA256:
- 0ce4bc8bfbd94d038a14c98c9005009caa96eb30947c93501d08e2c8d31cf62e
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