Instructions to use BitStarWalkin/Disney with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BitStarWalkin/Disney with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BitStarWalkin/Disney", 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:
- 780d94834a5829ecb2bf8e85e7befe8b14b51ef9ef2e29bf21251542630a68e3
- Size of remote file:
- 492 MB
- SHA256:
- 9d769fd93f618cad3d182c9ae417cc02a945e2e43ba5134e5bf62d210c7f5acd
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