Instructions to use furusu/LCM-Acertainty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use furusu/LCM-Acertainty with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("furusu/LCM-Acertainty", 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:
- be5ddc885820593bef813f95422cd72468ac10b267b47128f5cce402b6eeda89
- Size of remote file:
- 492 MB
- SHA256:
- 58e8c49dd6337c1c102a65e3e23d4e46da9d512def349c4df3bde65dff69fd6a
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