Instructions to use GraydientPlatformAPI/mklan-lighth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/mklan-lighth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/mklan-lighth", 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
- Xet hash:
- 1d42ddb026e991bfba519df4e57a1c23159c199787437900ee17fc01b1720d8e
- Size of remote file:
- 1.39 GB
- SHA256:
- f27f0f3774714befd9d9704a5b51275805718282ec03629418f8045a67c95189
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