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", 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:
- 1bfefa1ee0ac14e50d2d468cd93f44d97d6051a9b09548d521e767d4fae41bf9
- Size of remote file:
- 12.7 GB
- SHA256:
- a2116151f10ebb71d0aec061fd2f24354eac5962e0d8b0c87ac22dd52923381d
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