Instructions to use thebluser/lightswitch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thebluser/lightswitch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("thebluser/lightswitch", 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
- Xet hash:
- cbbd5abc1b006a1dfdd96d57c9273f18e9f9d2e240d7f4e5d4941c6bff46eceb
- Size of remote file:
- 4.46 GB
- SHA256:
- fadb9d3be4f551b69f40fb9e3ec167359e30d62361267ae801b7398cd66d47e8
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