Instructions to use isatis/kw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use isatis/kw with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("isatis/kw", 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
Ctrl+K
- 51.9 MB xet
- 151 MB xet
- 151 MB xet
- 37.9 MB xet
- 151 MB xet
- 151 MB xet
- 151 MB xet
- 18.6 MB xet
- 37.9 MB xet
- 151 MB xet
- 75.6 MB xet
- 37.9 MB xet
- 19 MB xet
- 9.57 MB xet
- 81.5 MB xet
- 6.87 MB xet
- 151 MB xet
- 9.55 MB xet
- 151 MB xet
- 19 MB xet
- 151 MB xet
- 23.7 MB xet
- 37.9 MB xet
- 151 MB xet
- 9.56 MB xet
- 19 MB xet
- 37.9 MB xet
- 19 MB xet
- 38 MB xet