Instructions to use spamsoms/LCM-kotosmix_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use spamsoms/LCM-kotosmix_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("spamsoms/LCM-kotosmix_diffusers", 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:
- 4ed5a05ae30047cd614ab45aaebeb0bcc6d93d861990db8ed13f3165723b6cdc
- Size of remote file:
- 335 MB
- SHA256:
- 3f328f990e672a3c896e76011ece2b5933f1cf78a4587eac91700f2066530af4
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