Instructions to use SeeSee21/AniSee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SeeSee21/AniSee with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SeeSee21/AniSee", 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
- Draw Things
- DiffusionBee

- Xet hash:
- ef4139bb580ee7956fdc8282ab6dafd77950c0b7dd3191549615de3a431b8924
- Size of remote file:
- 220 kB
- SHA256:
- 2ce7eb9f21c02680410fa37b7fd07454a500dbd96ca75de184ea257c203303bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.