Instructions to use Anzhc/AAAAutism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Anzhc/AAAAutism with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Anzhc/AAAAutism", 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
- Xet hash:
- 57922c93e255e99a63513c33f2401f60108100ae511fe617d75fb834dcb7faa8
- Size of remote file:
- 6.94 GB
- SHA256:
- 44eb8c883da40936d32ed3e4f9a4b65c06a543dbee9fd77842d2ab8e00f051e7
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