Instructions to use fusing/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/test", 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:
- dbaadc587850da4ccc4c225f636f111fc4ee8e93c8e67ea0e36c82f5e06b33d4
- Size of remote file:
- 1.72 GB
- SHA256:
- 065b256cb7285495e4709d138113670b867232c0eafe5f374971b6768ff6e21a
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