Instructions to use IndexTeam/Index-anisora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IndexTeam/Index-anisora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("IndexTeam/Index-anisora", 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:
- 9d97cc1f8caf0006495e13e1b6b73a5a98a29ac5d13ba1c242c7bbf1a12edebf
- Size of remote file:
- 1.03 MB
- SHA256:
- 5adde7c0c11418e1e9cd4ccfd227f3dcc719591602badb3b282173245b10c319
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.