Instructions to use GraydientPlatformAPI/realcartoon-pixar11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/realcartoon-pixar11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/realcartoon-pixar11", 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:
- da4129e78c47def9115f0693c6057374c76ccf95da2cc24cf6265095ff519d81
- Size of remote file:
- 246 MB
- SHA256:
- 244436510427b40ea5f0cc917dd84aa378eb86ec9389f015d686bdafba76c1e7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.