Instructions to use GraydientPlatformAPI/cream-lightning-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/cream-lightning-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/cream-lightning-xl", 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:
- 71a646bb51bb550ff4b221f6ed5bafe236c05b88e87d119b42bf3d29e66b00bf
- Size of remote file:
- 1.39 GB
- SHA256:
- 21ad5c9d8c957e07aa044620edf822e7dd3d07c3ef3e0c5e2844d7e1bd39dd9d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.