Instructions to use Muapi/cartoongraph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/cartoongraph with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/cartoongraph") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 527cdb47cc7847c7c87532db5f9bec705b583b16a6567674df007ef5768ff818
- Size of remote file:
- 108 kB
- SHA256:
- aa665a428deaf320a7623d581e6441edcfcd19474aa3f191a6270f392118a08b
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