Instructions to use dkackman/DreamShaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dkackman/DreamShaper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dkackman/DreamShaper", 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
- Xet hash:
- 4c55e97fbe6b17d866831510859b39311b9afdddc45918dd8ca779d8eaa9fbc8
- Size of remote file:
- 492 MB
- SHA256:
- 51cfcf6978c6b4906f80a9cfff4d2ac63effca3ab604833f5aba8e3f1b410cdf
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