Instructions to use stablediffusionapi/impressionism-oil-paintin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/impressionism-oil-paintin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/impressionism-oil-paintin", 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:
- 81c8826266a3c5eca4ef997dc846bb5a5a5d769241a8cdb6662d3916b4f12c29
- Size of remote file:
- 246 MB
- SHA256:
- cc2b23b7e8082156895efe5997dfe44b135b36287b4337675fc33dcd9d29c3eb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.