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 speed_fid.png from SimianLuo/LCM_Dreamshaper_v7: direct link, hf CLI and curl.
- Browser
- Download file 56.9 kB
-
https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7/resolve/refs%2Fpr%2F1/speed_fid.png
- Command line
-
hf download hf://SimianLuo/LCM_Dreamshaper_v7@refs/pr/1/speed_fid.png
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curl -L -o speed_fid.png https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7/resolve/refs%2Fpr%2F1/speed_fid.png
56.9 kB
