Instructions to use sd-dreambooth-library/monet-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/monet-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/monet-style", 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
Please make more for classic artists. This is pretty good.
#4
by Crowyote - opened
How about a good VanGogh, Munch, Blaue Reiter, Rembrandt, or Velazquez style? And please train them on the high res images from wiki commons etc. I'm getting lots of watermarks and copyrights even with negative prompts when I run these at 768 plus with high CFG and steps.