Instructions to use Red1618/Light with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Red1618/Light with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Red1618/Light", 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:
- 99e8f5835b9af8439c3379611c1d9fb7f4386060f8183e1be726adb8c50e423c
- Size of remote file:
- 246 MB
- SHA256:
- f29eb054f6250a49d3c6499316f696003fa7faf470b377bdc92cd19cf3b4834b
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