Instructions to use Vargol/lcm-ssd-1b-full-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vargol/lcm-ssd-1b-full-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Vargol/lcm-ssd-1b-full-model", 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
Commit History
Tidy up scheduler comfig and add .gitattributes 0f7c311
David Burnett commited on
Merge LCM SSD-1B unet wuth SSD-1B model 4c94ece
David Burnett commited on