Instructions to use satani/two with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use satani/two with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("satani/two", 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:
- afe6bc54c5fe81efb93d8b43e2d1c1147785a55befd5dcf98c9542126a1c9916
- Size of remote file:
- 246 MB
- SHA256:
- b2247a28a9d85beda28a7cfa5f0ba0fd85f1211dae5c1c9ae970356419c274eb
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