Instructions to use satani/three with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use satani/three 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/three", torch_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:
- 18a7db3f7be5791d02a330578f04116c3d57be24acc627871f3fd199b319e53e
- Size of remote file:
- 246 MB
- SHA256:
- c01e2eeb7b8aad613cdcbb20fe1c27346735a875b06093c286d7708813767543
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