Instructions to use Mousey/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mousey/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("Mousey/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
- Xet hash:
- 51b68bd2c202f8de11e22d00fb53df8b5a8bdf0742e83c053c60c322c89ed30c
- Size of remote file:
- 1.45 GB
- SHA256:
- a95dc35dfff997bd9c751a97db4959db1235f5776ef5e453d468c602c7998794
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