Instructions to use Anzhc/AAAAnima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Anzhc/AAAAnima 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/AAAAnima", 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:
- 34f955ddc210cf11aa6cca4bb5f22281c6172ea6c9151bd7c48a7d5f8b8b9d6f
- Size of remote file:
- 4.18 GB
- SHA256:
- 500449c119b32081b0f1a2caea9d7ddbe2b18a07c55364bfb761564d807fb175
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