Instructions to use stablediffusionapi/realcartoonpixarv9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/realcartoonpixarv9 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/realcartoonpixarv9", 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:
- ae9f0d7973537f1cb2afc0254ba8c5cd03a692081cc5f8b3b42c49ba3eb5e229
- Size of remote file:
- 246 MB
- SHA256:
- ae5f32ed757f536d1e812b3bd22da957ca1e53b47e7fdc0dd811fc939030ceda
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