Instructions to use GraydientPlatformAPI/mklan-aio20-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/mklan-aio20-xl 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-aio20-xl", torch_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:
- 78dc76ae4cc4631202309d6515a0929539e29f108ff6edc122d91a0c3ac3e0ff
- Size of remote file:
- 246 MB
- SHA256:
- b8ce5224609ebcb6b0505d3b5c2c184221b6c02e48d329a720c19d1ad1467d82
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.