Instructions to use SimianLuo/LCM_Dreamshaper_v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SimianLuo/LCM_Dreamshaper_v7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SimianLuo/LCM_Dreamshaper_v7", 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 teaser.png from SimianLuo/LCM_Dreamshaper_v7: direct link, hf CLI and curl.
- Browser
- Download file 3.96 MB
-
https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7/resolve/refs%2Fpr%2F1/teaser.png
- Command line
-
hf download hf://SimianLuo/LCM_Dreamshaper_v7@refs/pr/1/teaser.png
-
curl -L -o teaser.png https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7/resolve/refs%2Fpr%2F1/teaser.png
3.96 MB

- Xet hash:
- f39e1f15ed5e96ff402e47af51fdc774e0985dead17e4a1892a13637e24a8a0f
- Size of remote file:
- 3.96 MB
- SHA256:
- 0bed40424a7b713d0119eb1f6488c4b6c0b6bb43593aadaf69c6acca6d75f4f5
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