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", 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:
- f6cf3cf63918664e576c87466e6e740c737909373e83ecc6d6211c560a51e58f
- Size of remote file:
- 3.44 GB
- SHA256:
- 04d3db2a9d9b22df384789cc05b5f3218bf63d11c47ecea0954c66731f5659ab
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