Instructions to use mrcuddle/MenZ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrcuddle/MenZ with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mrcuddle/MenZ", 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:
- 64b06f9bc856abc3ae95793ca35c6e0b4141c0f675a350e165453269aafee879
- Size of remote file:
- 3.77 GB
- SHA256:
- 5ed326924296de84d07a4f313269deb7fe1908b3d5fcd00cba5773753ed88c71
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.