Instructions to use Beckham808/LightGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Beckham808/LightGen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Beckham808/LightGen", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 224d0d0668ab2cb96bfb47b79eaf0e7fd1fb431e233fcaaaad26e36bd8b6e24f
- Size of remote file:
- 12.7 GB
- SHA256:
- b399454832df333ff1cc7f2a569f180f1e9be76a03000b8968bd4b25479fbbeb
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