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
Add pipeline tag, library name and paper abstract
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag and library_name to the model card metadata. This will improve discoverability of the model and clarify its compatibility with the Hugging Face Diffusers library.
It also incorporates the paper abstract to provide more context.
Beckham808 changed pull request status to merged