Instructions to use latent-consistency/lcm-ssd-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use latent-consistency/lcm-ssd-1b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("latent-consistency/lcm-ssd-1b", 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
Download image.png from latent-consistency/lcm-ssd-1b: direct link, hf CLI and curl.
- Browser
- Download file 1.44 MB
-
https://huggingface.co/latent-consistency/lcm-ssd-1b/resolve/main/image.png
- Command line
-
hf download hf://latent-consistency/lcm-ssd-1b/image.png
-
curl -L -o image.png https://huggingface.co/latent-consistency/lcm-ssd-1b/resolve/main/image.png
1.44 MB

- Xet hash:
- b8b3885a31ccd6f123d1367defefb560fbf8bc0b803287e9d9ca4f41df815529
- Size of remote file:
- 1.44 MB
- SHA256:
- d6f816207cfff66d5f8c9acaa76ca565e7c825970dc8b00fcc09c36ac2d6ee27
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