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
Commit History
-
add-onnx (#11)
- add model (2e4a1abfad7293fed5fc8aa0b8bf1914199a7f24) - add model (20943040276e1a9a45b9679e36b2fc01a4295a87) - add config (db41ea3a93086e680d465c13efcbfca36ddbdb6a) - add vae encoder (3b84555b0ce68aa61cbf119604421188e43b7105) Co-authored-by: Ella Charlaix <echarlaix@users.noreply.huggingface.co>4721097