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:
- e5b2f2f741395a921f8a141503d0c447ab6d7dd27859d80305bf5525023c49d5
- Size of remote file:
- 1.39 GB
- SHA256:
- 5b05805176d4da67b13ec473038adae1bba9ea8c27db3db4098c14e8b835f65d
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