Instructions to use GraydientPlatformAPI/niji6-lcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/niji6-lcm 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/niji6-lcm", 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:
- 163e7fc6ac5ebd593d0886bfac07ab4b435867f59f5f523649ce5e500677fa97
- Size of remote file:
- 246 MB
- SHA256:
- be6fe0f38b0e87c06e2a77437f06155d3e315fab7deaac24cace36337a75f35d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.