Instructions to use zhyemmmm/Cartoonish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhyemmmm/Cartoonish with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zhyemmmm/Cartoonish", 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:
- c433d56802433763c95c9e985e2a145f36d508efb4941c40e3c9329def5b90d4
- Size of remote file:
- 335 MB
- SHA256:
- 52c80319f7e0b67315d059c05a07c637db39fb61c08c42dec575f7ad5c75ade4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.