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
- Draw Things
- DiffusionBee
ControlNet support?
#9
by ehalit - opened
Congrats for the awesome work! I wonder if ControlNet support will come, and if it will, when? I tried to use it with existing ControlNet pipelines but it errors out.
ControlNet need to be distilled into a new LCM. We are working on it. Thanks for loving it.
SimianLuo changed discussion status to closed
Exciting news! I hope the new "follow" feature rolls out soon so we can stay updated.