Instructions to use Muapi/cartoon-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/cartoon-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/cartoon-style") 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:
- 56a62e9c203be569a9ae871fe8dd6cf5bc671347c14767d416e33ea016abb3de
- Size of remote file:
- 1.83 MB
- SHA256:
- 6586a83ff37f892810089de9a9cefb834b1fce3a73f4244134920b33fe590b45
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