Instructions to use rodrigobrand/lcmnpm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rodrigobrand/lcmnpm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rodrigobrand/lcmnpm", 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:
- 9a76dad25136325909a3acb99ee0486c8dfb8a29df7c0eb243b44010bc9d74e0
- Size of remote file:
- 246 MB
- SHA256:
- 6af38a60b1a4c598d693d212c0e4e36cbfc21131e2abaacb30739bd7c8035da0
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