Instructions to use ABDALLALSWAITI/impasto-style-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ABDALLALSWAITI/impasto-style-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ABDALLALSWAITI/impasto-style-lora") 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:
- 5704dad41d218a7d0542112f162c9a21dedf3eb988aeca696be20dfc60ecfc4b
- Size of remote file:
- 8.06 MB
- SHA256:
- 69ba134fd183fea6bf0cc01a3c7ed5a094df4184e4f0830c7b0e188682e2e205
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.