Instructions to use MouseTrap/MouseTrap_ButterflyGenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MouseTrap/MouseTrap_ButterflyGenerator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MouseTrap/MouseTrap_ButterflyGenerator", 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:
- 31b52a76a1e5fe9ed8658cb4fd9dc96d45762310999f93440ae1cf335e1c5182
- Size of remote file:
- 74.3 MB
- SHA256:
- d59e8c4b44786aa21be549ec02434b360f4ab0fa1bd1a95aa2c5a0edecf82ced
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