Instructions to use Mathews/huggingcartoon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mathews/huggingcartoon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mathews/huggingcartoon", 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:
- da76a12b439424e9de67d99272c359fe18e718bb2e3d8e624ae355174b4ecd04
- Size of remote file:
- 492 MB
- SHA256:
- bdb47d1b5941e4ef1d4569175cf27657bec5f7debaa7227f32b2bee78885dd8b
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