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:
- 7fd3a4e8ccbca1f934e89d7c7a099818fe5431a5788162ad3da7d8cf79d365c4
- Size of remote file:
- 246 MB
- SHA256:
- bc8d8c43b6c64ef061acecae1d895f6b90321d067914283c3221f0881b83962b
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