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
- Draw Things
- DiffusionBee
- Xet hash:
- 6b3c4c8bf928c9cae1781a463a092339540fda84dd02467166e3c72c8187e147
- Size of remote file:
- 335 MB
- SHA256:
- c8b4d738e8f8ecefacb7ace7e5bc25a4a7fec79606197183892e46cbb304a227
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